User keyword extraction device and method, and computer-readable storage medium

The application discloses a user keyword extraction method based on a social network, including: acquiring blog posts having been posted by a target user within a preset time interval, and performing word segmentation to acquire a word list of each blog post; inputting the acquired word list corresponding to each blog post into a Word2Vec model for training to acquire a word vector model; extracting keywords corresponding to the blog posts based on a keyword extraction algorithm to form a candidate keyword set of the target user, calculating a word vector of each keyword in the candidate keyword set based on the word vector model, and constructing a semantic similarity graph; and running a Pagerank algorithm on the semantic similarity graph to score the keywords so as to acquire interest keywords of the user. This application also provides a user keyword extraction device based on a social network, and a computer-readable storage medium. This application solves a technical problem in the ...

TARGET CUSTOMER IDENTIFICATION METHOD AND DEVICE, ELECTRONIC DEVICE AND MEDIUM

The present solution provides a target customer identification method and a de vice, an electronic device and a medium, which is applicable to the field of information processing. The method includes: obtaining personal characteristics data of potential customers; calculating a customer conversion rate of a telephone sales representative during each working time period according to the total number of customers who have made a transaction and the total number of marketing target customers of the telephone sales representative in each of working time periods; inputting the customer conversion rate of the telephone sales representative in the current working time period and the personal characteristics data of the potential customers into a pre-established random forest model to output product purchase probabilities of the potential customers; and determining a potential customer whose product purchase probability is greater than a preset threshold as a target customer of the telephone sales ...

PATH PLANNING SYSTEM AND METHOD FOR ROBOT, ROBOT AND MEDIUM

The disclosure discloses a path planning system and method for a robot, the robot and a medium. The method includes: preselecting, by the path planning system for the robot, one or more position points from paths on which the robot can move in a predetermined regional map as reference positioning points; and if an instruction of moving the robot from a first position point to a second position point is received, analyzing a path from the first position point to the second position point according to the set reference positioning points and according to a predetermined path analysis rule, and controlling the robot to move to the second position point on the basis of the analyzed path. 1. A path planning system for a robot , operated in the robot , the path planning system comprising:a selection module, configured to preselect one or more position points from paths on which the robot moves in a predetermined regional map as reference positioning points; anda path planning module, configured to, if an instruction of moving the robot from a first position point to a second position point is received, analyze a path from the first position point to the second position point according to the set reference positioning points and according to a predetermined path analysis rule and control the robot to move to the second position point on the basis of the analyzed path.2. The path planning system of claim 1 , wherein the predetermined path analysis rule comprises:determining a first reference positioning point closest to the first position point and a second reference positioning point closest to the second position point;planning first paths from the first position point to the first reference positioning point and from the second position point to the second reference positioning point according to a first preset planning manner; andplanning a second path from the first reference positioning point to the second reference positioning point to obtain a second planned path ...

Context Constraints for Correcting Mis-Detection of Text Contents in Scanned Images

Misclassified text components are identified and corrected by comparing non-text components with their neighboring text components. If a non-text component being examined is found to be substantially aligned with its neighboring text components, and is further found to have a similar average color and size as its neighboring text components, then it is reclassified as a text component. Misclassified non-text components are reduced by restricting text labeling to areas of a document image defined by an edge map. The edge map is made by smoothing the document image, and applying edge detection to the smooth image.

Bi-Affinity Filter: A Bilateral Type Filter for Color Images

An edge preserving filter that works on the principle of matting affinity allows a better representation of the range filter term in bilateral class filters. The definition of the affinity term can be relaxed to suit different applications. An approximate bi-affinity filter whose output is shown to be very similar to the traditional bilateral filter is defined. The present technique has the added advantage that no color space changes are required and hence an input image can be handled in its original color space. This is a big benefit over the traditional bilateral filter, which needs conversion to perception based spaces, such as CIELAB, to generate results close to the present invention. The full bi-affinity filter preserves very minute details of the input image, and thus permits an enhanced zooming functionality.

Methods To Eliminate/Reduce The Crosstalk Artifacts Of The Retro-Reflective Auto-Stereoscopic 3D Display

Crosstalk artifacts in a retro-reflective auto-stereoscopic 3D display system are compensated by providing various methods of directing surface reflections of a screen away from a viewing region, i.e. a region from which the screen is viewed. This is achieved by splitting the screen in two, and tilting the left-side and right-side of the screen either towards, or away, from a projection baseline so as to direct mirror reflections away from the viewing region. Alternatively, the screen is not split, but virtical v-shaped grooves are made along the surface of the screen facing the projection line. The angle of the v-shaped groove direct surface reflections away from the viewing region, but the groove are substantially small that the screen appears flat to an observer.

System und Verfahren zur Registrierung und Modellierung verformbarer Formen durch direkte Faktorisierung

Verfahren zur Registrierung und Modellierung einer verformbaren Form in einem digitalisierten Bild, das folgende Schritte beinhaltet: Bereitstellen einer Menge von Messungen einer verformbaren Form, wobei besagte Menge von Messungen eine Messmatrix bildet; und simultanes Finden einer Lösung für eine starre Registriertransformation und ein lineares Formmodell.

Method, device, server and storage medium of searching a group based on social network

A method of searching a group based on a social network includes: receiving a group search request transmitted by a query terminal, wherein the group search request contains a specified query user identification (ID), a group scale and a group coritivity; retrieving a pre-generated social network graph; using the user node corresponding to the query user ID as a starting node to perform search expansion according to the social network graph, and determining a user node having the maximum number of adjacent nodes in each search expansion layer as a group member until the number of determined group members equals to the group scale in the social network graph; a first level of the expansion layer includes the user node, which is an adjacent node of the query user, and the user node included in a next level of expansion layer is an adjacent node of the group member determined by the upper level of the expansion layer; and determining that a group coritivity of the group to be searched is not ...

Random forest model training method, electronic apparatus and storage medium

A random forest model training method, an electronic apparatus and a storage medium. The random forest model training method comprises: a model training control system analyzing whether a model training condition has been satisfied (S1); if the model training condition has been satisfied, determining whether there is a need to perform reconstruction training on a random forest model (S2); if there is a need to perform reconstruction training on the random forest model, performing the reconstruction training on the random forest model by using sample data (S3); and if there is no need to perform reconstruction training on the random forest model, performing correction training on the random forest model by using the sample data (S4). The method can reduce the number of times that random forest model training is performed, reduce the system burden and improve the system performance.

System, method, electronic device, and storage medium for identifying risk event based on social information

Attorney Docket No. ZQ-00005 The present disclosure provides a system, a method, an electronic device, and a storage medium for identifying risk event based on social information. The system includes an obtaining module configured for obtaining social information released by various predetermined social accounts from a predetermined social server; an analysis module configured for analyzing the social information to obtain a company name and/ or a product name contained in the social information; a resolution module configured for, after the company name and/or product name contained in the social information are obtained, resolving the social information to obtain key point information corresponding to the social information; and an identifying module configured for identifying an information directing classification corresponding to the key point information using a pre-trained classifier such that the social information corresponding to the predetermined information directing classification ...

Path planning system and method for robot, robot and storage medium

A path planning system and method for a robot, a robot and a storage medium. The method comprises: a path planning system for a robot pre-selecting, on a path of a predetermined region map in which a robot can move, one or more position points as a reference positioning point/reference positioning points (S10); upon reception of an instruction to move the robot from a first position point to a second position point, obtaining, by means of analysis, according to the set reference positioning point(s) and predetermined path analysis rules, a path from the first position point to the second position point, and controlling, on the basis of the obtained path, the robot to move to the second position point (S20). The method enables the robot to select a corresponding path from pre-planned paths during path planning, without a need to calculate a movement path in real time, i.e. changing the path planning process from "calculation" to "selection", effectively reducing the amount of real-time calculation ...

Multifunctional charging and discharging circuit and device consisting of same

The invention discloses a multifunctional charging and discharging circuit and a device consisting of the same. The multifunctional charging and discharging circuit is used for charging and discharging lithium batteries. The charging and discharging circuit comprises a charging circuit digital controlled constant current source, a discharging circuit digital controlled constant current source and a battery voltage monitoring circuit; the charging circuit digital controlled constant current source comprises a first operational amplifier, a first Darlington tube, a first resistor, a first inductor and a fifth resistor; the discharging circuit digital controlled constant current source comprises a second operational amplifier, a second Darlington tube, a second resistor, a second inductor and a sixth resistor. The charging and discharging circuit and the device based on a digital controlled constant current source technology are adopted, the magnitude of the charging and discharging current ...

Method for preparing porous graphite by using waste lithium ion battery carbon residue

The invention relates to a method for preparing porous graphite by using waste lithium ion battery carbon residue, which comprises the following steps: drying, crushing and screening waste lithium ion battery carbon residue to be treated to obtain fine carbon residue; uniformly mixing the fine carbon residues with calcium fluoride and concentrated sulfuric acid to obtain slurry; after the slurry is roasted, sintering carbon residues and flue gas are obtained; mixing the sintered carbon slag with water, leaching, and carrying out solid-liquid separation to obtain a porous graphite crude product; then, washing the porous graphite crude product to be neutral, and drying to obtain a porous graphite finished product. The method is short in process, the porous graphite is successfully prepared from the waste lithium ion battery carbon residues, and the treatment benefit of the waste lithium ion battery carbon residues can be improved.

Anchor cable anchoring depth discrimination method

The invention discloses a method for judging the anchoring depth of an anchor cable. The method comprises the following steps that S1, an anchor cable drilling depth monitoring device is developed; s2, according to the characteristics of a drilling machine, the anchor cable drilling depth monitoring device is installed on the drilling machine; s3, collecting drilling data, and calculating the drilling depth; and S4, according to the relation curve of the drilling depth and the net drilling time, the anchoring depth of the anchor cable is judged. The method has the characteristics of simplicity in operation, wireless data transmission, high applicability and the like, and provides a decision for judging the anchoring depth of the anchor cable in slope protection.

Method and device for integrate collaborative filtering with time factor

The present invention relates to a method and device for integrate collaborative filtering with time factor, the method comprising: establishing an exponential smoothing model; obtaining a default time period for the exponential smoothing model, the time period including a plurality of time periods; obtaining a plurality of user identification and values of the user's preference corresponding to the user identifications for the specified product over a plurality of time periods; iteratively calculating the result of values of the user's preference by the exponential smoothing model to obtain a smooth result corresponding to the time period; generating a sparse array using the user identifications and the smoothing result corresponding to the time period, the sparse array comprising a plurality of value of user's preference to be predicted; acquiring a collaborative filtering model; training is performed by the collaborative filtering model to obtain a predicted value of user's preferences ...

Combining Subcomponent Models for Object Image Modeling

Aspects of the present invention include systems and methods for forming generative models, for utilizing those models, or both. In embodiments, an object model fitting system can be developed comprising a 3D active appearance model (AAM) model. The 3D AAM comprises an appearance model comprising a set of subcomponent appearance models that is constrained by a 3D shape model. In embodiments, the 3D AAM may be generated using a balanced set of training images. The object model fitting system may further comprise one or more manifold constraints, one or more weighting factors, or both. Applications of the present invention include, but are not limited to, modeling and/or fitting face images, although the teachings of the present invention can be applied to modeling/fitting other objects.

COLLABORATIVE FILTERING METHOD, APPARATUS, SERVER AND STORAGE MEDIUM IN COMBINATION WITH TIME FACTOR

A method of collaborative filtering in combination with time factor includes: establishing an exponential smoothing model; acquiring a time period proposed for the exponential smoothing model, the time period includes a plurality of time cycles; acquiring a plurality of user identifiers and user preference degree values of the user identifiers over a specified product during the plurality of time cycles; performing iterative calculations of the user preference degree values utilizing the exponential smoothing model, and obtaining smoothing results corresponding to the time cycles; generating a sparse matrix utilizing the user identifiers and the smoothing result corresponding to the time cycles, the sparse matrix includes a plurality of user preference degrees to be predicted; acquiring a collaborative filtering model and inputting the smoothing results corresponding to the time cycles into the collaborative filtering model; and training through the collaborative filtering model, calculating ...

METHOD FOR DETECTING OLEFIN COMPONENTS IN ORANGE JUICE THROUGH ONLINE-SOLID-PHASE MICRO-EXTRACTION AND COMPREHENSIVE TWO-DIMENSIONAL GAS CHROMATOGRAPHY/QUADRUPOLE MASS SPECTROMETER

The present invention discloses a method for identifying and analyzing olefin components in orange juice through online-solid-phase micro-extraction (online-SPME) and comprehensive two-dimensional gas chromatography/quadrupole mass spectrometer (comprehensive 2DGC/qMS). The method comprises the steps: enriching olefin components in an orange juice sample through online-SPME; detecting through comprehensive 2DGC/qMS; conducting qualitative analysis on a determinand through a combination of a retention time index (LRI) and NIST spectral library; and accurately quantitatively analyzing chromatographic overlapping peaks by a nodal convolution technique for the components which cannot be separated by the comprehensive 2DGC. The comprehensive 2DGC adopts two chromatographic columns with different polarities for conducting orthogonal separation on the olefin components, and qMS is conducted under the effect of a modem for completing detection. Qualitative analysis is conducted through the combination ...

Method, system, electronic device, and medium for classifying license plates based on deep learning

Disclosed are a method, a system, an electronic device, and a medium for classifying license plates based on deep learning that are applied to an electronic device. The method includes: acquiring at least one photograph sent by a terminal device; preprocessing the acquired at least one photograph such that the preprocessed at least one photograph matches input parameters of a pretrained recognition model; and inputting the preprocessed at least one photograph to the pretrained recognition model to recognize corresponding vehicle use information of the at least one photograph, and sending the corresponding vehicle use information of the at least one photograph to the terminal device. Thus, with this disclosure, the use of a vehicle in a photograph can be automatically and accurately recognized and further the photographs can be accurately classified, thereby improving the accuracy as well as the efficiency.

Video compressive sensing reconstruction method and system, and electronic apparatus and storage medium

Disclosed are a video compressive sensing reconstruction method and system, and an electronic apparatus and a storage medium. The method comprises: B. after receiving a compressed video frame to be reconstructed, extracting frame fragments of the compressed video frame according to a predetermined extraction rule; C. inputting the extracted frame fragments into a frame fragment input layer of a pre-trained video frame reconstruction model, and a plurality of feature abstraction hidden layers of the video frame reconstruction model performing feature abstraction on the input frame fragments so as to establish non-linear mapping between the frame fragments to frame fragment blocks; and D. the plurality of feature abstraction hidden layers of the video frame reconstruction model reconstructing the input frame fragments into the frame fragment blocks according to the established non-linear mapping, a frame fragment block output layer of the video frame reconstruction model outputting the reconstructed ...

Comprehensive assessment method for running of intelligent power distribution network

A comprehensive assessment method for running of an intelligent power distribution network includes the steps of firstly, building a comprehensive assessment index system according to the running characteristic of the intelligent power distribution network; secondly, defining application range of the assessment method in terms of preference information, quantity of plans and relation between the quantity of plans and the quantity of attributes on the basis of investigation of the conventional comprehensive assessment method for the power distribution network, selecting the analytic hierarchy process, the fuzzy comprehensive evaluation method and the Delphi method as theoretical supports for comprehensive assessment according to real condition of assessment of running of the intelligent power distribution network, and on the basis of the three methods, providing comprehensive assessment methods and processes which include important links such as weight setting, scoring standard setting and ...

High-activity mutant pectin lyase and application thereof

The invention relates to high-activity mutant pectin lyase and application, in particular to mutant pectin lyase PGLA-rep4, mutant pectin lyase PGLA-rep1 and mutant pectin lyase PGLA-rep2, the enzyme activity of the modified pectin lyase is improved, and the modified pectin lyase has wide application prospects in the fields of pulping, papermaking, spinning, feed and the like.

Preparation method of antioxidant-free compound amino acid composition

The invention provides a preparation method of a compound amino acid composition without an antioxidant. The preparation method comprises the following steps: flushing and passivating a liquid preparation system and a pipeline; filling nitrogen into a batching device in which the water for injection is added to adjust the dissolved oxygen content of the liquid, then adding sodium hydroxide, heating the liquid medicine, and adding other amino acids except cystine one by one to obtain a second liquid medicine; cystine is dissolved with a hydrochloric acid solution to form a third medicine liquid, the third medicine liquid is added into the second medicine liquid, and the compound amino acid composition without the antioxidant is obtained after the procedures of constant volume, pH adjustment, filling, sterilization and the like are conducted. Through the mode, cystine can show relatively high stability, and the stability of the product in the storage, transportation and use processes can ...

Wall-mounted video exhibition stand device and intelligent exhibition stand display system

The invention provides a wall-mounted video exhibition stand device and an intelligent exhibition stand display system.The wall-mounted video exhibition stand device is provided with a base with a mounting groove, the base is provided with a first profile connecting piece, a second profile connecting piece and a cross rod machine head which are hinged, and the whole wall-mounted video exhibition stand device can be folded and stored in the mounting groove of the base; the whole structure is simple and compact, and can be used through the lens on the cross bar machine head after the whole display, the structure is simple, and the application range is wide.

Image-based auto-encoder training method and device, equipment and storage medium

The invention relates to an artificial intelligence technology, and discloses an auto-encoder training method, device and equipment based on complex images in the fields of medical treatment and the like, and a storage medium. The method comprises the following steps: carrying out encoding operation on an image block set of an initial image by utilizing an encoder model to obtain an encoding feature sequence; using a first full connection layer and a second full connection layer to carry out full connection and activation mapping on the coding feature sequence to obtain a first output value and a second output value, and carrying out resampling operation on the first output value and the second output value to obtain a first vector code; performing full connection on the coding feature sequence by using a third full connection layer to obtain a third full connection result, and splicing the third full connection result with the first vector code to obtain a second vector code; and performing ...

Segmenting a String Using Similarity Values

Disclosed are systems and methods for segmenting a string comprised of one or more string segments using similarity values. In embodiments, each string segment may contain at least a variation of a marker string that may be used to separate string segments in the string. In embodiments, a similarity value representing the result of comparing the marker string to substrings of the string may be computed, and a similarity vector representing the set of comparisons for the locations on the string may be generated. In embodiments, the similarity vector may be used to identify candidate segmentation locations in the string. In embodiments, a set of segmentation locations in the string may be derived from the candidate segmentation locations in the string, and the string may be segmented according to the set of segmentation locations.

Various configurations of the viewing window based 3D display system

A panoramic 3D image is created by using multiple projectors whose field-of-view is narrower than the screen's width. Each projector provides a different image of a common subject from a different view angle, and the different images are mosaiced onto the screen. An observer may have a limited view of the composite image depending on which projectors are within the observer's field-of-view. A viewing volume is also extended by using space beyond a far limit line dependent upon the observer's inter-pupillary distance, the width of each projector's viewing window, and the distance from the projection baseline to the screen.

Method and device of constructing decision model, computer device and storage apparatus

A method of constructing a decision model includes: obtaining a rule template data and extracting each variable object and each template sample from the rule template data; clustering and analyzing the variable objects to obtain a clustering result; matching the clustering result with each template sample according to the rule template data, and serving the matched clustering result as a first feature; calculating a black sample probability for each variable object and serving the black sample probability of each variable object as a second feature; and constructing the decision model according to the first feature and the second feature.

B.licheniformis engineering bacteria for inhibiting bacterial autolysis, construction method and application thereof

Abstract Disclosed are B.lichenformis engineering bacteria for inhibiting bacterial autolysis, and a construction method and application thereof, belonging to the field of microbial strain transformation. The B.lichenformis engineering bacteria for inhibiting bacterial autolysis are obtained by knocking out pcf genes, and the nucleotide sequence of the pcf genes is shown as SEQ ID No. 1. The biomass of the prepared B.lichenformis engineering bacteria for inhibiting bacterial autolysis is obviously improved, the autolysis rate is reduced by 11.2% compared with unmodified B.ichenformis, the autolysis of the B.lichenformis bacteria is reduced to a certain extent, the fermentation production of a target enzyme can be effectively improved, and the engineering bacteria have good application prospect.

Method and device for processing question clustering in automatic question and answering system

The present invention provides a method and a device for processing question clustering in an automatic question and answering system. The method comprises: receiving a clustering request input by a writer; acquiring a question set to be clustered from a database of unanswered questions based on the clustering request; performing feature extraction on the question set to be clustered with a text feature extraction algorithm to output a question feature set; determining whether the question feature set meets a preset splitting condition; performing segmenting clustering on the question feature set with a segmenting clustering algorithm if the preset splitting condition is met to output at least two question feature subsets; updating the question feature subsets to a question feature set, and determining whether the question feature set meets the preset splitting condition; and outputting the question feature set as a clustering class cluster if the preset splitting condition is not met.

Automatic extraction method, device and system for driving licence expiration date, and storage medium

An automatic extraction method for a driving licence expiration date, comprising: extracting candidate profile areas in an image file of a vehicle driving licence, and screening out a candidate profile area which comprises an annual inspection expiration date from the candidate profile areas; extracting the profile of each character in the screened out candidate profile area; acquiring a minimum circumscribed rectangle frame for each character profile, and dividing the obtained minimum circumscribed rectangle frame into separate single-character tiles; according to the location of each single-character tile in the profile area, sorting the single-character tiles; recognizing the character corresponding to the single-character tile; according to the sorting, using the recognized character, generating a character string representative of the annual inspection expiration date; and extracting time data in the character string, taking the time data as the annual inspection expiration date of ...

Image tampering detection method and system, electronic apparatus and storage medium

Disclosed are an image tampering detection method and system, an electronic apparatus and a storage medium. The method comprises: A. performing block segmentation on an image to be detected, dividing the image to be detected into several small image fragments, and extracting initial tampering detection features from the various small image fragments; and B. encoding the extracted initial tampering detection features by using a predetermined encoder so as to generate complex tampering features, and determining, according to the generated complex tampering features, a tampering detection result corresponding to the image to be detected, wherein the tampering detection result comprises being tampered with and being non-tampered with. The present invention achieves the accurate detection of image tampering of different types and formats.

Method for extracting respiratory movement parameter from one-arm X-ray radiography picture

The invention relates to a method for extracting a respiratory movement parameter from a one-arm X-ray radiography picture, which belongs to the crossed field of digital signal processing and medical imaging, and aims at separating the respiratory movement from the complex movement of an actual human body heart. The method comprises the following steps: selecting a group of architectural feature points (including the head and tail points of a vessel section) on a coronal artery vessel and tracking the motion curve of the architectural feature point along with the time in a sequence; and separating to obtain a bi-dimensional respiratory movement curve by the Fourier expansion and frequency-domain filtering method. In addition, in the invention, in order to describe the respiratory movementmore intuitively and effectively, the bi-dimensional respiratory movement obtained from two different radiography visual angles is rebuilt according to the three-dimensional reconstruction theory of the ...

Vascular angiography three-dimensional rebuilding method under dynamic model direction

Continuous variable cross-section tunnel lining concrete pouring construction method

The invention relates to the technical field of tunnel lining construction methods, in particular to a continuous variable cross-section tunnel lining concrete pouring construction method. The method comprises the following steps that S1, a bottom plate is poured at the bottom of a tunnel, and rails are laid; s2, a single-row formwork trolley structure is assembled in the tunnel; s3, the formwork trolley is adjusted according to the tunnel section of the construction position; s4, pouring construction of tunnel lining concrete is conducted based on the adjusted formwork trolley; for a small tunnel and a medium tunnel, a single-row formwork trolley is adopted for concrete pouring construction; as for a large tunnel, the two trolley units are transversely arranged in parallel along the tunnel to form a double-row formwork trolley for concrete pouring construction; according to the construction method, the size change requirement of the tunnel section can be met, the working space in the tunnel ...

Method and system of authentication based on voiceprint recognition

Non-negative matrix factorization as a feature selection tool for maximum margin classifiers

Non-negative matrix factorization, NMF, is combined with identification of a maximum margin classifier by minimizing a cost function that contains a generative component and the discriminative component. The relative weighting between the generative component and the discriminative component are adjusting during subsequent iterations such that initially, when confidence is low, the generative model is favored. But as the iterations proceed, confidence increases and the weight of the discriminative component is steadily increased until it is of equal weight as the generative model. Preferably, the cost function to be minimized is: min F , G 0 ⁢  X - FG  2 + ⁡ (  w  2 + C ⁢ i = 1 n ⁢ L ⁡ ( y i , w · g i + b ) ) .

IMAGE PROCESSING METHOD, IMAGE PROCESSING SYSTEM, AND COMPUTER-READABLE MEMORY MEDIUM

PROBLEM TO BE SOLVED: To solve a problem that may have an error like a lacked frame, a partly imaged frame or the like if a packet to be transmitted is missing during an event transmitted by a channel especially in a low band width. SOLUTION: An embodiment of a system and a method that use a model base technique for recovering from an image error in data communication is disclosed. A low-dimensional display is constructed of an image that contains an error. The error in the image is offset by using a manifold and a manifold statistical model that have image displays. COPYRIGHT: (C)2010,JPO&INPIT ...

Path planning system and method for robot, robot and storage medium

Guide robot and method of calibrating moving region thereof, and computer readable storage medium

Disclosed are a moving area calibration method for a tour guide robot, a tour guide robot, and a computer readable storage medium. The moving area calibration method for a tour guide robot comprises a signal receiving unit detecting and receiving motion instructions and transmitting the received motion instructions to a controller (10) (S10); the controller (10) determining, according to a predetermined mapping relationship between motion instructions and area calibration parameters, area calibration parameters corresponding to the received motion instructions, the area calibration parameters including a tour guide robot movement area, a light display parameter for use in the movement area, and a driving parameter corresponding to the movement area and the light display parameter (S20); and the controller (10) driving, according to the determined area calibration parameters, a lighting module (20) to perform calibration of light display in the movement area (S30). The moving area calibration ...

Method and device for searching group based on social networks

Image Rendering Method and Apparatus

An image rendering method and apparatus where the method includes recognizing a target area from a to-be-rendered image, setting a virtual light source for the target area, and performing rendering on the target area using the virtual light source. When rendering is performed on the to-be-rendered image, the rendering performed on the to-be-rendered image is implemented using the virtual light source. The virtual light source plays a rendering action only on the target area corresponding to the virtual light source, and does not affect another part of the to-be-rendered image, and therefore an image effect of the to-be-rendered image may be relatively good.

Use of umbilical cord blood stem cells to treat ischemic event

The invention relates generally to methods for isolation and culture of umbilical cord blood stem cells, cells isolated by the methods, and therapeutic uses for those cells.

Context and Epsilon Stereo Constrained Correspondence Matching

A catadioptric camera having a perspective camera and multiple curved mirrors, images the multiple curved mirrors and uses the epsilon constraint to establish a vertical parallax between points in one mirror and their corresponding reflection in another. An ASIFT transform is applied to all the mirror images to establish a collection of corresponding feature points, and edge detection is applied on mirror images to identify edge pixels. A first edge pixel in a first imaged mirror is selected, its 25 nearest feature points are identified, and a rigid transform is applied to them. The rigid transform is fitted to 25 corresponding feature points in a second imaged mirror. The closes edge pixel to the expected location as determined by the fitted rigid transform is identified, and its distance to the vertical parallax is determined. If the distance is not greater than predefined maximum, then it is deemed correlate to the edge pixel in the first imaged mirror.

Network topology self-adapting data visualization method, device, apparatus, and storage medium

The present application discloses a network topology self-adapting data visualization method, device, apparatus, and storage medium. The network topology self-adapting data visualization method includes: preprocessing nodes, output the preprocessed nodes; processing the preprocessed nodes by the force guidance layout algorithm to form an initial network topology graph; performing de-duplication processing for the duplicated preprocessed nodes in the initial network topology graph and outputting the de-duplicated nodes; and forming an object network topology graph on the basis of the de-duplicated nodes. By means of the network topology self-adapting data visualization method, data visualization and automation can be achieved, the data visualization processing procedure is simplified, manual intervention is not needed, the manual intervention cost can be effectively reduced, and the processing efficiency is improved.

Method for preparing metal organic framework-graphene oxide composite material

The invention discloses a method for preparing a metal organic framework-graphene oxide composite material. The method comprises the following steps: adding graphite powder into a mixed solution of concentrated sulfuric acid, sodium nitrate and potassium permanganate for oxidizing, adding water for hydrolyzing, and finally, adding H2O2, thereby obtaining graphene oxide; filtering, washing with water, centrifuging, and performing spray drying, thereby obtaining solid powder GO; and dispersing the solid powder GO in water, performing ultrasonic treatment, adding Cr(NO3)3.9H2O, terephthalic acid and hydrofluoric acid, reacting at the temperature of 210-230 DEG C for 67-77 hours, washing and soaking by using N,N-dimethyl formamide, drying, and activating, thereby obtaining the purified GrO@MIL-53 adsorbing material, namely the metal organic framework-graphene oxide composite material. Compared with common MIL-53, the adsorbent prepared by the method has the advantages that the specific surface ...

NiCe/Al2O3 fuel oil desulphurization adsorbing material and preparation method thereof

The invention discloses a NiCe/Al2O3 fuel oil desulphurization adsorbing material and a preparation method thereof. The method comprises the following steps: dissolving nickel nitrate and cerous nitrate in deionized water, and uniformly stirring the deionized water to obtain a mixed solution; gradually dropwise adding the mixed solution to a Al2O3 carrier, and ultrasonically and uniformly stirring the mixed solution and the Al2O3 carrier to obtain a mixture; drying and roasting the mixture to prepare the NiCe/Al2O3 fuel oil desulphurization adsorbing material. The specific surface area of the adsorbing material is 50 to 140m2/g, the pore volume is 0.3 to 0.8cm<3>/g, and the aperture size is 7 to 15nm; the adsorbing volume of the adsorbing material is 4.5 to 8.2mg-S/g-sorb. The NiCe/Al2O3 fuel oil desulphurization adsorbing material is high in adsorbing and desulphurization volume, high in selectivity and applicable to deep desulphurization; meanwhile, the NiCe/Al2O3 adsorbing material is ...

Photoelectric frost measuring sensor

The invention discloses a photoelectric frost measuring sensor which comprises a base, a heat-conducting part, a light transmitter, a light receiver, an upper cover plate and a fixed part, wherein, the base is a flat plate with two bulges, a semi-cylindrical groove is arranged on the bottom side of the flat plate, the thermal conductive part is embedded in the groove of the base, the top of the thermal conductive part extends out of the upper surface of the flat plate of the base, the light transmitter and the light receiver are respectively arranged on the inner sides of the two bulges of thebase, the light transmitter, the light receiver and the upper cover plate are connected into a whole, the upper cover plate is connected with two bulges of the base, and the base is connected with the fixed part. The base is made of insulating, thermal insulating and other materials, and the thermal conductive part is made of thermal conductive materials. The photoelectric frost measuring sensorhas ...

Accurate positioning method for favorable uranium ore sand body in coverage area

The invention belongs to the technical field of uranium mineralization favorable sand body prediction, and particularly relates to an accurate positioning method for favorable uranium mineralization sand bodies in a coverage area, which comprises the following steps of: 1, collecting and analyzing data, and delineating key prospecting basin sections and regions with larger potential; 2, determining a favorable prospecting target horizon; 3, supplementing and collecting drilling hole data for drilling through the favorable prospecting target horizon determined in the step 2, and counting data of various ore control elements of the target horizon; 4, drawing each ore control element map of the target horizon by utilizing Surfer software, and screening the most favorable mining area of each element; and 5, nesting and superposing various patterns, and accurately positioning the favorable uranium ore sand body. According to the method, all the favorable metallogenic elements are extracted and ...

Internet-of-things node positioning method and system of integrated energy system

The invention relates to the technical field of Internet of Things, in particular to an Internet of Things node positioning method and system of an integrated energy system. The method comprises the following steps: firstly, collecting RSSI values between a to-be-positioned Internet of Things node and anchor nodes, firstly screening out the anchor nodes with high measured signal intensity values of the to-be-positioned Internet of Things node, combining the anchor nodes, secondly, carrying out node positioning on each group of anchor node subsets by using LSM, and finally, carrying out node positioning on the to-be-positioned Internet of Things node. Finally, judging whether the node to be positioned is in an NLOS condition or not through a threshold algorithm; if the node to be positioned is not in the NLOS condition, determining that the final positioning result is the average value of the LSM positioning results of all subsets; and if the node to be positioned is under the NLOS condition ...

COLLABORATIVE FILTERING METHOD, APPARATUS, SERVER AND STORAGE MEDIUM IN COMBINATION WITH TIME FACTOR

A method of collaborative filtering in combination with time factor includes: establishing an exponential smoothing model; acquiring a time period proposed for the exponential smoothing model, the time period includes a plurality of time cycles; acquiring a plurality of user identifiers and user preference degree values of the user identifiers over a specified product during the plurality of time cycles; performing iterative calculations of the user preference degree values utilizing the exponential smoothing model, and obtaining smoothing results corresponding to the time cycles; generating a sparse matrix utilizing the user identifiers and the smoothing result corresponding to the time cycles, the sparse matrix includes a plurality of user preference degrees to be predicted; acquiring a collaborative filtering model and inputting the smoothing results corresponding to the time cycles into the collaborative filtering model; and training through the collaborative filtering model, calculating ...

METHOD, TERMINAL, APPARATUS AND COMPUTER-READABLE STORAGE MEDIUM FOR EXTRACTING A HEADWORD

Embodiments of the present invention disclose a method, a terminal, and an apparatus for extracting a headword and a computer-readable storage medium, wherein the method comprises: acquiring a text information input by a user, and the text information comprises one or more search terms; determining an out-edge weight of each search term; calculating a linkage-matrix for the each search term of the text information according to the out-edge weight; calculating a priori score of the each search term according to a preset document library; determining a random jumping vector for the each search term of the text information according to the priori score; calculating a first preliminary score of the each search term according to the linkage-matrix and the random jumping vector; determining a second preliminary score of the each search term according to a preset part-of-speech configuration rule; determining a final degree score of the each search term according to the first preliminary score ...

METHOD OF TRAINING RANDOM FOREST MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM

METHOD OF TRAINING RANDOM FOREST MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM The disclosure relates to a method of training a random forest model, an electronic device and a storage medium. The method of training the random forest model includes: analyzing, by a system of controlling model training, whether model training conditions are met or not; if the model training conditions are met, determining whether reconstructive training needs to be carried out on the random forest model or not; if the reconstructive training needs to be carried out on the random forest model, carrying out the reconstructive training on the random forest model by using sample data; if the reconstructive training does not need to be carried out on the random forest model, carrying out corrective training on the random forest model by using the sample data. The disclosure can reduce the number of times of training on the random forest model, relieve the system burden and improve the system efficiency. Fig. 2 ...

SPEAKER SEPARATION MODEL TRAINING METHOD, TWO-SPEAKER SEPARATION METHOD AND COMPUTING DEVICE

System and method of controlling obstacle avoidance of robot, robot and storage medium

The disclosure discloses a system and method of controlling obstacle avoidance of a robot, a robot and a storage medium. The method includes: acquiring current positioning data of the robot, and determining whether an obstacle, which is spaced from a current position at a distance shorter than a preset distance, exists in a path from the current position to a target position or not according to the current positioning data and position data of all obstacles in a predetermined moving region; if the obstacle, which is spaced from the current position at the distance shorter than the preset distance, exists, calculating the shortest distance between the robot and the obstacle according to the acquired positioning data, a predetermined 3D model of the robot and a predetermined 3D model of the obstacle; calculating a due movement direction of the current robot according to the acquired positioning data, the calculated shortest distance and the 3D model of the obstacle, and controlling a movement ...

Image tampering detection method and system, electronic apparatus and storage medium

Disclosed are an image tampering detection method and system, an electronic apparatus and a storage medium. The method comprises: A. performing block segmentation on an image to be detected, dividing the image to be detected into several small image fragments, and extracting initial tampering detection features from the various small image fragments; and B. encoding the extracted initial tampering detection features by using a predetermined encoder so as to generate complex tampering features, and determining, according to the generated complex tampering features, a tampering detection result corresponding to the image to be detected, wherein the tampering detection result comprises being tampered with and being non-tampered with. The present invention achieves the accurate detection of image tampering of different types and formats.

Voiceprint recognition method, device, storage medium and background server

The present invention provides a voiceprint recognition method, a device, a storage medium and a background server. The voiceprint recognition method comprises: collecting, by a client, a test voice of a user, and sending a voice recognition request to the background server, the voice recognition request comprises the user ID and the test voice; receiving, by the background server, the voice recognition request, and determining the voice recognition request to be processed with a message queue and an asynchronous mechanism; acquiring, by the background server, a target voiceprint feature which corresponds to the user ID of the voice recognition request to be processed, and acquiring a test voiceprint feature which corresponds to the test voice of the voice recognition request to be processed; judging, by the background server according to the target voiceprint feature and the test voiceprint feature, whether the target voiceprint feature and the test voiceprint feature correspond to the ...

Vector controller of alternating current asynchronous motor

The invention relates to a vector controller of an alternating current (AC) asynchronous motor. The vector controller comprises a control chip, a drive circuit, a three-phase inverter circuit, a Hallsensor and an amplifying and filtering circuit, and is characterized in that a PWM output hardware interlock circuit is connected between the control chip and the drive circuit, and the IGBT overflowing signal of the drive circuit is fed back to the PWM output hardware interlock circuit; a stator current overflowing signal generation circuit is connected with the output end of the amplifying and filtering circuit of a current sampling circuit in parallel, and a stator current overflowing signal is fed back to the PWM output hardware interlock circuit; and a temperature sensor is additionally arranged at the bottom of an IGBT module, a signal thereof is input to the A/D port of the control chip, and the general input/output ports of the control chip are utilized to control the operation of a ...

One-step fluorescence quantitative RT-PCR detecting method for hepatitis C virus(HCV) and reagent case thereof

The invention relates to a process of hepatitis c virus (HCV) one-step real-time fluorescent quantitative RT-PCR detection and a reagent kit. The process comprises firstly searching for human hepatitis c virus complete genomic sequence, conducting homologous alignment analysis for each HCV subtype sequence which is searched, then designing a pair of specific primer and a probe which is marked with fluorescent dye aiming to conservative gene sequence, and amplifying target gene through adopting a real-time fluorescent quantitative PCR process. Fluorescent strength of amplified product which is reacted continuously is detected under an appropriate wave, wherein hepatitis c virus is negative when Ct value is 0 or larger 27, and patients are infected with hepatitis c virus when Ct value is smaller 26, and hepatitis c virus is positive. Additionally, the process extracts HCV RNA through adopting improved Trizol method combining with specific silicon substrate ribonucleotide adsorbing column, ...

Adjustable-length cable special for field inspection of comprehensive automatic system of substation

The invention discloses an adjustable-length cable special for field inspection of a comprehensive automatic system of a substation. The cable comprises a middle shell, wherein a left shell and a right shell are arranged on the left side and the right side of the middle shell respectively; the side wall of the right shell is provided with a right cable outlet; the side wall of the left shell is provided with a left cable outlet; a shaft seat is arranged in the middle shell; a right cable wheel shaft is arranged on the shaft seat; a right cable wheel shaft inner cavity is formed in the right cable wheel shaft; a right cable wheel and a driven gear are fixedly arranged on the right cable wheel shaft; a cable is arranged on the right cable wheel; the right end of the cable extends out of the right shell through a right cable outlet; the left end of the cable extends into the right cable wheel shaft inner cavity from the side wall of the right cable wheel shaft and extends out of the left shell ...

Method for exploring planting adaptability of dragon fruits in organic photovoltaic greenhouse

The invention discloses a method for exploring the planting adaptability of dragon fruits in an organic photovoltaic greenhouse. The method comprises the following steps: selecting an organic photovoltaic cell; an organic photovoltaic greenhouse for planting pitaya is built in combination with an organic photovoltaic cell, and different organic photovoltaic experiment groups are arranged; observing data of agricultural indexes of the dragon fruits of the organic photovoltaic experiment group and the control group; and comprehensively evaluating the adaptability of organic photovoltaic greenhouse dragon fruit planting according to the data of the agricultural indexes. The method is developed around the adaptability evaluation mode of organic photovoltaic greenhouse pitaya planting according to the illumination requirement of pitaya planting and the agriculture-light complementary development requirement of a planting park, a foundation is laid for subsequent deep research of organic photovoltaic ...

Small sample target detection method and device, electronic equipment and storage medium

The invention relates to the technical field of artificial intelligence, and provides a small sample target detection method and device, an electronic device and a storage medium, when a small sample target detection model is trained, semantic similarities of an image level, an instance level and a pixel level are calculated, and the fusion problem of the semantic similarities of different levels is considered, so that the small sample target detection model is obtained. When different levels of semantic similarities are fused, the different levels of semantic similarities are not simply weighted and summed, but are fused through a series of convolution operations, so that the model can obtain richer semantic information, the robustness of the small sample target detection model obtained by training is relatively high, and the robustness of the small sample target detection model is improved. Therefore, unknown categories can be accurately detected by using the small sample target detection ...

ACOUSTIC MODEL TRAINING METHOD, SPEECH RECOGNITION METHOD, APPARATUS, DEVICE AND MEDIUM

An acoustic model training method, a speech recognition method, an apparatus, a device and a medium. The acoustic model training method comprises: performing feature extraction on a training speech signal to obtain an audio feature sequence; training the audio feature sequence by a phoneme mixed Gaussian Model-Hidden Markov Model to obtain a phoneme feature sequence; and training the phoneme feature sequence by a Deep Neural Net-Hidden Markov Model-sequence training model to obtain a target acoustic model. The acoustic model training method can effectively save time required for an acoustic model training, improve the training efficiency, and ensure the recognition efficiency. 1. An acoustic model training method , comprising:performing feature extraction on a training speech signal to obtain an audio feature sequence;training the audio feature sequence by a phoneme mixed Gaussian Model-Hidden Markov Model to obtain phoneme feature sequence; andtraining the phoneme feature sequence by a Deep Neural Net-Hidden Markov Model-sequence training model to obtain a target acoustic model.2. The acoustic model training method according to claim 1 , wherein performing feature extraction on a training speech signal comprises:performing pre-emphasis, framing, windowing, endpoint detection, fast Fourier transform, and Mel filter bank and discrete cosine transform on the training speech signal.3. The acoustic model training method according to claim 1 , wherein training the audio feature sequence by a phoneme mixed Gaussian Model-Hidden Markov Model to obtain a phoneme feature sequence comprises:training the audio feature sequence by a monophone Mixture Gaussian Model-Hidden Markov Model to obtain the phoneme feature sequence;training the original monophone mixed Gaussian Model-Hidden Markov Model by the audio feature sequence;obtaining an original monophone annotation corresponding to each audio feature in the audio feature sequence based on the original monophone Mixture ...

Light transport matrix from homography

Aspects of the present invention include systems and methods for obtaining a light transport between a projector and a camera. In embodiments, the light transport between the projector and the camera is represented as a matrix and is obtained assuming that the projector displays on a surface that is planar or at least substantially planar. The light transport matrix is obtained by finding a homography between the projector and the camera. Using the homography to correlate camera and projector pixels and using color values in a captured solid color image, the light transport matrix can be obtained. In embodiments, at least an approximation of an inverse light transport matrix can also be computed, which is useful for many applications, such as inferring unknown projector images.

Constructing incremental tree model for vein image recognition and authentication

An indexed hierarchical tree search structure implements incremental tree modification to add new registrants to the tree without requiring reconstruction of the tree. Only data within a leaf node that receives new data is used in the incremental tree modification. Consequently, the original data set used in the creation of the hierarchical tree may be deleted after construction of the tree.

Data processing method and system for checking pipeline leakage

A method for checking pipeline leakage comprises: receiving detecting parameters collected by at least one sensor with respect to pipelines in its corresponding region; gathering detecting parameters collected by the at least one sensor; analyzing the gathered detecting parameters to obtain an evolutionary tendency of detecting parameters in the corresponding region of the at least one sensor; judging if the evolutionary tendency of the detecting parameters satisfies predefined features of leakage; determining that pipeline leakage exists in the corresponding region if the evolutionary tendency of the detecting parameters satisfies the predefined features of leakage. The present invention may help to determine leak regions with a leakage having small flow quantity, and provide a user with regions with pipeline leakage to be detected based on a resource constraint.

Determining fluid leakage volume in pipelines

Guide robot and method of calibrating moving region thereof, and computer readable storage medium

Disclosed are a moving area calibration method for a tour guide robot, a tour guide robot, and a computer readable storage medium. The moving area calibration method for a tour guide robot comprises a signal receiving unit detecting and receiving motion instructions and transmitting the received motion instructions to a controller (10) (S10); the controller (10) determining, according to a predetermined mapping relationship between motion instructions and area calibration parameters, area calibration parameters corresponding to the received motion instructions, the area calibration parameters including a tour guide robot movement area, a light display parameter for use in the movement area, and a driving parameter corresponding to the movement area and the light display parameter (S20); and the controller (10) driving, according to the determined area calibration parameters, a lighting module (20) to perform calibration of light display in the movement area (S30). The moving area calibration ...

Car damage picture angle correction method, electronic device, and readable storage medium

Disclosed are a car damage picture angle correction method, an electronic device, and a readable storage medium. The method includes: after receiving a car damage picture to be classified and identified, identifying a rotation category corresponding to the received car damage picture by using a pre-trained picture rotation category identification model; determining a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters, the rotation control parameter including a rotation angle and a rotation direction; and rotating the received car damage picture according to the determined rotation control parameter, so as to generate an angle-normal car damage picture. The disclosure can perform car damage picture angle correction more comprehensively and more effectively with no need to artificially perform angle identification on a car damage picture and to manually rotate ...

Electronic device, method and system of identity verification and computer readable storage medium

The disclosure discloses an electronic device, a method and system of identity verification and a computer readable storage medium. The electronic device includes a memory and a processor; the system of identity verification is stored in the memory, and is executed by the processor to implement: after current voice data of a target user to be subjected to identity verification are received, carrying out framing processing on the current voice data according to preset framing parameters to obtain multiple voice frames; extracting preset types of acoustic features in all the voice frames by using a predetermined filter, and generating multiple observed feature units corresponding to the current voice data according to the extracted acoustic features; pairwise coupling all the observed feature units with pre-stored observed feature units respectively to obtain multiple groups of coupled observed feature units; inputting the multiple groups of coupled observed feature units into a preset type ...

Cushion formula gardens irrigation equipment

The utility model discloses a cushion formula gardens irrigation equipment, package storage water tank, watering device and rain water collecting device, be provided with the delivery pipe on the storage water tank, the delivery pipe is connected with the water source, the outlet of storage water tank is with water piping connection is failed to riser and underground on the ground, be provided with booster water pump on the ground between riser and the outlet, the control source of booster pump is connected with a timing controller, and the riser sets up with perpendicular to the ground on the ground, is provided with a plurality of shower nozzles on it, the end connection of underground raceway has the parallel cushion formula irrigator that sets up of a plurality of, the utility model discloses can be simultaneously water tree crown and the root of trees, the perpendicular ground riser that sets up washes the tree crown through numerous shower nozzles, passes through the timing controller ...

Ointment for treating burns and scalds

Method for synthesizing and purifying five-ligand organosilicon compound

The invention relates to a synthesis and purification method of a penta-ligand organosilicon compound. The preparation method comprises the following steps: adding a silicon source and inorganic alkali into ethylene glycol, heating and refluxing to remove water under the protection of nitrogen, and distilling and purifying to obtain the penta-ligand organosilicon compound. The preparation method is wide in raw material source, simple in synthesis method, short in synthesis route and environment-friendly.

Composite electromagnetic vibration and magnetic field energy collection structure and optimization method thereof

The invention belongs to the field of energy collection, and particularly relates to a composite electromagnetic vibration and magnetic field energy collection structure and an optimization method thereof. The composite energy collection structure comprises a magnetic field energy collector module and an electromagnetic vibration energy collection module. The magnetic field energy collection module is used for collecting magnetic field energy, and the electromagnetic vibration energy collection module is used for collecting electromagnetic vibration energy; the magnetic field energy collection module and the electromagnetic vibration energy collection module share one sleeve and one induction coil, and the permanent magnet is detachably installed. Based on the energy collection structure, the condition that the magnetizing directions of different numbers of permanent magnets are consistent or opposite is simulated; and determining the placement direction and the placement number of the ...

Method and system of authentication based on voiceprint recognition

A method and a system of authentication based on voiceprint recognition are disclosed. The method comprises steps of: after receiving a voice data of a user to be identified, acquiring a voiceprint feature of the voice data, and generating a corresponding voiceprint feature vector based on the voiceprint feature; inputting the voiceprint feature vector into a background channel model generated by training in advance, to construct a current voiceprint identification vector corresponding to the voice data; and calculating a spatial distance between the current voiceprint identification vector and a pre-stored standard voiceprint identification vector of the user, and generating a verification result by authenticating the user based on the spatial distance. Thus, the invention can improve an accuracy and an efficiency of user authentication.

GUIDE ROBOT AND METHOD OF CALIBRATING MOVING REGION THEREOF, AND COMPUTER READABLE STORAGE MEDIUM

GUIDE ROBOT AND METHOD OF CALIBRATING MOVING REGION THEREOF, AND COMPUTER READABLE STORAGE MEDIUM The disclosure discloses a method of calibrating a moving region of a guide robot. The method includes: detecting and receiving, by a signal receiving unit, a movement instruction, and sending the received movement instruction to a controller; determining, by the controller, region calibration parameters corresponding to the received movement instruction according to a predetermined mapping relation between the movement instruction and the region calibration parameters, wherein the region calibration parameters include a pending moving region of the guide robot, a light display parameter in the pending moving region, and a driving parameter corresponding to the pending moving region and the light display parameter; driving, by the controller, the light emitting module to carry out light display calibration in the pending moving region according to the determined region calibration parameters ...

METHOD AND APPARATUS FOR TRAINING SEMANTIC SEGMENTATION MODEL, COMPUTER DEVICE, AND STORAGE MEDIUM

Modeling light transport in complex display systems

An image created by a first projector is recreated using a second projector by relating the two projectors to a common point of view, preferably as viewed from a camera. A first transport matrix T1 is captured to relate the first projector to the camera. A second transport matrix T2 is then capture to relate the second projector to the camera. To have a first image p1, as projected by the first projector, reproduced by the second projector, the second projector projects a distorted image defined as (T21)(T1)p1. The inverse of T2, as used in this equation is an estimation defined by first creating an intermediate matrix {hacek over (T)} of equal size as T2. If a column in T2 is denoted as Tr and a corresponding column in {hacek over (T)} is denoted as {hacek over (T)}r, then the construction and population of {hacek over (T)} is defined as {hacek over (T)}r=Tr/(Tr)2, and the inverse of T2 is estimated as the transpose of {hacek over (T)}.

Orientation-aware average intensity histogram to indicate object boundary depth in ultrasound images

Linear candidate lines at different angles are used to determine an average intensity for each pixel level of an ultrasound image. The resultant average intensities are collected into a histogram, and the histogram is used to determine the depth positions of tissue boundary lines within an ultrasound image.

Model-based object image processing

Aspects of the present invention include systems and methods for forming generative models, for utilizing those models, or both. In embodiments, an object model fitting system can be developed comprising a 3D active appearance model (AAM) model. The 3D AAM comprises an appearance model comprising a set of subcomponent appearance models that is constrained by a 3D shape model. In embodiments, the 3D AAM may be generated using a balanced set of training images. The object model fitting system may further comprise one or more manifold constraints, one or more weighting factors, or both. Applications of the present invention include, but are not limited to, modeling and/or fitting face images, although the teachings of the present invention can be applied to modeling/fitting other objects.

METHOD OF CALIBRATING PROJECTOR SYSTEM, PROGRAM, COMPUTER SYSTEM, AND PROJECTOR SYSTEM

PROBLEM TO BE SOLVED: To provide a method capable of automatically re-calibrating a projector having an arbitrary built-in function and a pose to be displayed for an arbitrarily desired view point. SOLUTION: An observing camera and an projector are used to form a stereo pair. Structured light is used to perform pixel-level fine reconstruction of a display surface. Geometric warping is implemented as a direct texture mapping problem. As a result, re-calibration of the projector movement is performed by simply computing a new projection matrix to be set as a camera matrix. For re-calibrating the new view point, the texture mapping is modified according to the new camera matrix. COPYRIGHT: (C)2011,JPO&INPIT ...

Reorganization bamboo press state measurement and control device

The utility model provides a signal, with pressure detection 2 to display circuit demonstration that reorganization bamboo press state measurement and control device comprises microcontroller, pressure detection circuit, laser shot location detection circuit, relay, keyboard, display circuit and power supply circuit, the opening of microcontroller control laser shot location detection circuit, and microcontroller receives keyboard, pressure detection circuit and laser shot location detection circuit to sending the signal of handling to relay control opening of punching machine and stopping, power supply circuit provides the power to microcontroller and relay. The utility model discloses convenient to use can judge whether qualified the reorganization bamboo clapper density after the punching press is, whether can judge the bamboo silk piece of putting into stamping die waits to press the material suitable, ability automatic shutdown punching machine has fine effect to improving the finished ...

Train pulling arm of train pulling machine

The train pulling arm of the train pulling machine comprises a train pulling arm body and a train pulling hook assembly used for hooking a train. The fixed seat is arranged at one end of the traction arm main body; a notch for the connecting rod device to abut against is formed in the fixed seat; a connecting rib plate is arranged at the lower part of the draw gear assembly, and a first hinge hole and a second hinge hole are formed in the connecting rib plate; the upper end of the connecting rod device is hinged to the connecting rib plate through a first hinge hole, the lower end of the connecting rod device is hinged to the traction arm main body through a third hinge hole formed in the traction arm main body, and the traction hook assembly can ascend and descend through rotation movement of the connecting rod device with the third hinge hole as the axis. Therefore, the height of the whole traction hook assembly is reduced, space can be effectively saved, and traction equipment can be ...

Two-dimensional high-resolution method for selectively and synchronously measuring As (III), Cr (III) and Sb (III) in sediment

The invention discloses a two-dimensional high-resolution method for selectively and synchronously measuring As (III), Cr (III) and Sb (III) in sediments, As (III), Cr (III) and Sb (III) can be selectively adsorbed, the technology is combined with laser ablation plasma mass spectrometry (LA-ICP-MS), and synchronous two-dimensional imaging can be carried out on As (III), Cr (III) and Sb (III) on the submillimeter scale. The invention relates to the technical field of environment monitoring. According to the two-dimensional high-resolution method for selectively and synchronously measuring As (III), Cr (III) and Sb (III) in the sediment, the adsorption rate, the extraction rate and the adsorption kinetics of an HR-MPTS fixed film are tested, whether the fixed film can meet the DGT measurement requirement or not is explored, meanwhile, the performance of DGT including the adsorption capacity, the diffusion coefficient, the environmental condition influence, the minimum detection limit and ...

Micron silicon-based negative electrode material with multi-layer coating structure, preparation method of micron silicon-based negative electrode material, negative electrode plate and lithium battery

The invention discloses a micron silicon-based negative electrode material with a multi-layer coating structure, a preparation method of the micron silicon-based negative electrode material, a negative electrode plate and a lithium battery. The micron silicon-based negative electrode material with the multi-layer coating structure comprises an inner core and a plurality of coating layers which are coated outside the inner core in sequence, wherein the inner core is made of a micron silicon-based material; the multiple coating layers comprise at least one of an electron conductor layer and an ion conductor layer. According to the invention, the conductivity of the silicon-based negative electrode can be improved, the expansion of the silicon-based material in the charge-discharge process is hindered, the formation of a stable solid electrolyte interface film is facilitated, the problems of expansion and breakage of the micron silicon-based negative electrode in the charge-discharge process ...

Method and system of voice recognition

METHOD AND DEVICE FOR GENERATING MEDICAL REPORT

The preset application is applied to the field of information processing technologies, and a method and a device for generating a medical report are provided. The method includes: receiving a medical image to be recognized; importing the medical image into a preset visual geometry group VGG neural network to acquire a visual feature vector and a keyword sequence of the medical image; importing the visual feature vector and the keyword sequence into a preset diagnostic item recognition model to determine diagnostic items corresponding to the medical image; constructing a paragraph for describing each of the diagnostic items respectively based on a diagnostic item extension model; generating a medical report for the medical image based on the paragraph, the keyword sequence and the diagnostic items. 1. A method for generating a medical report , comprising:receiving a medical image to be recognized;importing the medical image into a preset VGG neural network to acquire a visual feature vector and a keyword sequence of the medical image;importing the visual feature vector and the keyword sequence into a preset diagnostic item recognition model to determine diagnostic items corresponding to the medical image;respectively constructing a paragraph for describing each of the diagnostic items based on a diagnostic item extension model;generating a medical report for the medical image based on the paragraph, the keyword sequence and the diagnostic items.2. The method according to claim 1 , wherein the step of importing the medical image into a preset VGG neural network to acquire a visual feature vector and a keyword sequence of the medical image comprises:constructing a pixel matrix of the medical image based on pixel values of pixels in the medical image and position coordinates of the pixel values;performing dimensionality reduction on the pixel matrix through five pooling layers of the VGG neural network to acquire the visual feature vector;importing the visual feature ...

Voiceprint recognition method, device, storage medium and background server

The present invention provides a voiceprint recognition method, a device, a storage medium and a background server. The voiceprint recognition method comprises: collecting, by a client, a test voice of a user, and sending a voice recognition request to the background server, the voice recognition request comprises the user ID and the test voice; receiving, by the background server, the voice recognition request, and determining the voice recognition request to be processed with a message queue and an asynchronous mechanism; acquiring, by the background server, a target voiceprint feature which corresponds to the user ID of the voice recognition request to be processed, and acquiring a test voiceprint feature which corresponds to the test voice of the voice recognition request to be processed; judging, by the background server according to the target voiceprint feature and the test voiceprint feature, whether the target voiceprint feature and the test voiceprint feature correspond to the ...

Collaborative filtering method, apparatus, server and storage medium in combination with time factor

A method of collaborative filtering in combination with time factor includes: establishing an exponential smoothing model; acquiring a time period proposed for the exponential smoothing model, the time period includes a plurality of time cycles; acquiring a plurality of user identifiers and user preference degree values of the user identifiers over a specified product during the plurality of time cycles; performing iterative calculations of the user preference degree values utilizing the exponential smoothing model, and obtaining smoothing results corresponding to the time cycles; generating a sparse matrix utilizing the user identifiers and the smoothing result corresponding to the time cycles, the sparse matrix includes a plurality of user preference degrees to be predicted; acquiring a collaborative filtering model and inputting the smoothing results corresponding to the time cycles into the collaborative filtering model; and training through the collaborative filtering model, calculating ...

Electronic device, method and system of identity verification and computer readable storage medium

The disclosure discloses an electronic device, a method and system of identity verification and a computer readable storage medium. The electronic device includes a memory and a processor; the system of identity verification is stored in the memory, and is executed by the processor to implement: after current voice data of a target user to be subjected to identity verification are received, carrying out framing processing on the current voice data according to preset framing parameters to obtain multiple voice frames; extracting preset types of acoustic features in all the voice frames by using a predetermined filter, and generating multiple observed feature units corresponding to the current voice data according to the extracted acoustic features; pairwise coupling all the observed feature units with pre-stored observed feature units respectively to obtain multiple groups of coupled observed feature units; inputting the multiple groups of coupled observed feature units into a preset type ...

Ointment for treating burns and scalds

The present invention provides a kind of ointment for treating burns and scalds and aims at solving the problem of healing burns and scalds without scar left. The ointment is prepared with nine kindsof Chinese medicinal materials, including angelica, carbonized human hair, myrrh, dragon's blood, musk, etc. The present invention has the features of promoting granulation, high treating effect, no scabbing and no sequelae.

Adjusting method of transmission bandwidth of media stream and correlated device

The present invention discloses an adjusting method of a transmission bandwidth of a media stream and a correlated device. A media stream sending terminal obtains the evaluation scores of a plurality of media streams which are evaluated by a media stream receiving terminal according to the identifiers of the plurality of media streams, wherein the plurality of media streams are transmitted via the same transmission port, and the identifier are described based on the content of the media streams respectively. When the situation that a jam occurs or the jam relieves, is detected, the media stream sending terminal adjusts the transmission bandwidths of the corresponding media streams according to the evaluation scores, so that the transmission bandwidths of the plurality of media streams which are transmitted via the same transmission port can be adjusted based on the content of the media streams.

Ranging light source device and laser ranging equipment

The invention discloses a distance measuring light source device and laser distance measuring equipment, the distance measuring light source device comprises a signal generator, a photoelectric oscillation loop and an adder, the signal generator is used for generating an electric signal, the photoelectric oscillation loop is used for feeding back an oscillation signal, the adder is connected with the signal generator and the photoelectric oscillation loop, and the adder is connected with the photoelectric oscillation loop. And the adding module is used for adding the electric signal and the oscillation signal to obtain a driving signal, so that the photoelectric oscillation loop can generate a double-frequency laser signal based on the driving signal. The distance measuring light source device can generate dual-frequency laser signals from MHz to GHz, when the distance measuring light source device works, signals of two frequencies are sent out at the same time, distance measurement is ...

Filter and coupling polarity adjusting method

The invention relates to the technical field of communication, and provides a filter and a coupling polarity adjusting method, the filter comprises a first component, a second component, a first resonator, a second resonator and a coupling member, and a first resonant cavity and a second resonant cavity are formed between the second component and the first component; the first resonator is located in the first resonant cavity, and the second resonator is located in the second resonant cavity; one end of the coupling piece is located in the first resonant cavity and connected to the first resonator or the first component to form a short-circuit end, and the other end of the coupling piece is suspended in the second resonant cavity and located on one side of the second resonator to form an open-circuit end; and the coupling piece is used for carrying out capacitive coupling or inductive coupling between the first resonator and the second resonator. According to the filter provided by the ...

Multi-source heterogeneous data management method and system, storage medium and electronic equipment

The embodiment of the invention provides a multi-source heterogeneous data management method and system, a storage medium and electronic equipment. The method comprises the following steps: dividing multi-source heterogeneous data according to data types to obtain to-be-stored data of different data types; if the data type of the to-be-stored data is the oblique photography model, storing the to-be-stored data in a first database; and if the data type of the to-be-stored data is not the oblique photography model, determining a target data set corresponding to the data type of the to-be-stored data, and storing the to-be-stored data in the target data set of the second database. According to the method, the multi-source heterogeneous data is stored in different databases according to data types, data sets of different types of data are also stored in the same database in a differentiated mode, and centralized storage of the multi-source heterogeneous data is beneficial to unified management ...

Acoustic model training method, speech recognition method, apparatus, device and medium

An acoustic model training method, a speech recognition method, an apparatus, a device and a medium. The acoustic model training method comprises: performing feature extraction on a training speech signal to obtain an audio feature sequence; training the audio feature sequence by a phoneme mixed Gaussian Model-Hidden Markov Model to obtain a phoneme feature sequence; and training the phoneme feature sequence by a Deep Neural Net-Hidden Markov Model-sequence training model to obtain a target acoustic model. The acoustic model training method can effectively save time required for an acoustic model training, improve the training efficiency, and ensure the recognition efficiency.

Determining fluid leakage volume in pipelines

A method and an apparatus for determining leakage volume of fluid in transportation pipelines are provided. The method comprises: obtaining the negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; determining the pressure signal at the leakage location based on the negative pressure wave signals; determining the leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; and determining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period. The apparatus provided corresponds to the method described above. By using the method and apparatus described above, the leakage volume of the transportation pipelines can be obtained to help understand the leakage profile of the pipelines and thus reduce losses (FIG. 1).

DETERMINING FLUID LEAKAGE VOLUME IN PIPELINES

A method and an apparatus for determining leakage volume of fluid in transportation pipelines are provided. The method comprises: obtaining the negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; determining the pressure signal at the leakage location based on the negative pressure wave signals; determining the leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; and determining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period. The apparatus provided corresponds to the method described above. By using the method and apparatus described above, the leakage volume of the transportation pipelines can be obtained to help understand the leakage profile of the pipelines and thus reduce losses (). 1. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored thereon , wherein the computer readable program , when executed by a processor , causes the processor to:obtain negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; wherein the at least two pressure sensors are arranged on the pipeline such that, for each whole straight segment of the pipeline, one or more pressure sensors of the at least two pressure sensors are arranged at least at each end of the respective whole straight segment of the pipeline;determine a pressure signal at a leakage location based on the negative pressure wave signals;determine a leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; anddetermine the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period.2. The computer program product according to claim 1 , wherein the at least two pressure sensors comprises the two pressure sensors closest to the leakage location.3. The ...

VIDEO COMPRESSED SENSING RECONSTRUCTION METHOD, SYSTEM, ELECTRONIC DEVICE, AND STORAGE MEDIUM

The present disclosure provides a video compressed sensing reconstruction method, including: step B, after receiving to-be-reconstructed compressed video frames, extracting frame fragments of the compressed video frames according to a predetermined extraction rule; step C, inputting the frame fragments into an input layer of a pre-trained video frame reconstruction model, performing feature abstraction to the frame fragments through multiple hidden layers of the video frame reconstruction model, and building a nonlinear mapping between each frame fragment and a corresponding frame fragment block; and step D, reconstructing the input frame fragments to frame fragment blocks by the hidden layers according to the nonlinear mapping, and outputting the frame fragment blocks by an output layer of the video frame reconstruction model, and generating a reconstructed video based on the reconstructed frame fragment blocks. The present disclosure can render and reconstruct video frames quickly with ...

Method, system, device and readable storage medium for realizing insurance claim fraud prevention based on consistency between multiple images

Disclosed are a method, system, device and readable storage medium for realizing insurance claim fraud prevention based on consistency between multiple images. The method comprises: classifying damage assessment photographs of the same region of a vehicle into the same set; acquiring a key characteristic for each of the sets, and dividing the damage assessment photographs of each of the photograph sets into groups, such that the damage assessment photographs of each of the groups respectively match a plurality of related key points; according to the related key points of each of the groups, computing a characteristic transformation matrix for each of the groups, and converting, by using the corresponding characteristic transformation matrix, one of the photographs from each of the groups into a photograph for verification having the same shooting angle as another photograph from the same group; performing characteristic parameter matching between the photograph for verification and the ...

Supervised Nonnegative Matrix Factorization

Graph embedding is incorporated into nonnegative matrix factorization, NMF, while using the original formulation of graph embedding. Negative values are permitted in the definition of graph embedding without violating the nonnegative requirement of NMF. The factorized matrices of NMF are found by an iterative process. 6. The method of claim 1 , wherein data matrix U is comprised of n samples and each column of U represents a sample.7. The method of claim 6 , wherein each of said samples is an image file.8. The method of claim 1 , wherein W and are generated from true relationships among data pairs.9. The method of claim 8 , wherein said data pairs are class label data.10. The method of claim 1 , wherein each column of feature matrix X is a low dimensional representation of the corresponding column of U.11. The method of claim 1 , wherein at least one of similarity matrix W or dissimilarly matrix has negative values.12. The method claim 11 , wherein Tr(XLX) and Tr(X X) are positive.13. The method of claim 1 , wherein similarity matrix W and dissimilarity matrix are defined by the concept of within-class and between-class distances of Linear Discriminant Analysis (LDA).16. The system of claim 15 , wherein data matrix U is comprised of n samples and each column of U represents a sample.17. The system of claim 16 , wherein each of said samples is an image file.18. The system of claim 15 , wherein said data pairs are class labels of data.19. The system of claim 15 , wherein and each column of feature matrix X is a low dimensional representation of the corresponding column of U.20. The system of claim 15 , wherein at least one of similarity matrix W or dissimilarly matrix has negative values. This application is related to U.S. patent application Ser. No. ______ and ______ (Attorney Docket No. (AP431HO and AP445H0), filed on the same day as the instant application and entitled “Supervised Nonnegative Matrix Factorization.” These related applications are hereby ...

Supervised Nonnegative Matrix Factorization

Supervised nonnegative matrix factorization (SNMF) generates a descriptive part-based representation of data, based on the concept of nonnegative matrix factorization (NMF) aided by the discriminative concept of graph embedding. An iterative procedure that optimizes suggested formulation based on Pareto optimization is presented. The present formulation removes any dependence on combined optimization schemes. Analytical and empirical evidence is presented to show that SNMF has advantages over popular subspace learning techniques as well as current state-of-the-art techniques. 2. The method of claim 1 , wherein data matrix U is comprised of n samples and each column of U represents a sample.3. The method of claim 2 , wherein each of said samples is an image file.4. The method of claim 1 , wherein W and are generated from true relationships among data pairs.5. The method of claim 4 , wherein said data pairs are class labels of data.6. The method of claim 1 , wherein and each column of feature matrix X is a low dimensional representation of the corresponding column of U.7. The method of claim 1 , wherein the ratio formation of F(X) is handled without any transformation.8. The method of claim 1 , wherein at least one of similarity matrix W or dissimilarlty matrix has negative values.9. The method claim 8 , wherein Tr(XLX) and Tr(X X) are positive.10. The method claim 1 , wherein said Pareto optimality is applied directly on said ratio formulation of F(X) in the absence of any weighed sum approximation.13. The method of claim 12 , wherein said Pareto optimal is achieved when said multiplicative updates reach a stationary point.14. The method of claim 1 , wherein similarity matrix W and dissimilarity matrix are defined by the concept of within-class and between-class distances of Linear Discriminant Analysis (LDA).16. A method of classifying test data claim 1 , comprising:arranging a set of training data into a data matrix U;{'claim-ref': {'@idref': 'CLM-00001', 'claim 1 ...

Supervised Nonnegative Matrix Factorization

Supervised kernel nonnegative matrix factorization generates a descriptive part-based representation of data, based on the concept of kernel nonnegative matrix factorization (kernel NMF) aided by the discriminative concept of graph embedding. An iterative procedure that optimizes suggested formulation based on Pareto optimization is presented. The present formulation removes any dependence on combined optimization schemes. 3. The method of claim 1 , wherein said different dimensional matrix φ(U) is of higher dimension than said data matrix U.6. The method of claim 1 , wherein data matrix U is comprised of n samples and each column of U represents a sample.7. The method of claim 6 , wherein each of said samples is an image file.8. The method of claim 1 , wherein W and are generated from true relationships among data pairs.9. The method of claim 8 , wherein said data pairs are class labels of data.10. The method of claim 1 , wherein the ratio formation of F(X) is handled without any transformation.11. The method of claim 1 , wherein at least one of similarity matrix W or dissimilarlty matrix has negative values.12. The method claim 1 , wherein Tr(XLX) and Tr(X X) are positive.13. The method claim 1 , wherein said Pareto optimality is applied directly on said ratio formulation of F(X) in the absence of any weighed sum approximation.15. The method of claim 1 , wherein said Pareto optimal is achieved when the iterative multiplicative updates reach a stationary point.16. The method of claim 1 , wherein similarity matrix W and dissimilarity matrix are defined by the concept of within-class and between-class distances of Linear Discriminant Analysis (LDA).18. A method of classifying test data claim 1 , comprising:arranging a set of training data into data matrix U;{'claim-ref': {'@idref': 'CLM-00001', 'claim 1'}, 'applying the supervised kernel nonnegative factorization method of to data matrix U to identify the coefficient matrix X* at the Pareto optimal state; and'} ...

Importance filtering for image retargeting

A content-aware image retargeting technique uses an “importance filtering” technique to preserve important information in the resizing of an image. The image saliency is first filtered, guided by the image itself to achieve a structure-consistent importance map. The pixel importance is then used as the key constraint in computing the gradient map of pixel shifts from the original resolution to the target resolution. Finally the shift gradient is integrated across the image by a weighted filtering process to construct a smooth pixel shift-map and render the target image. The weight is again controlled by the pixel importance. The two filtering processes enforce the maintaining of structural consistency while preserving the important contents in the target image. The simple nature of the present filter operations allow for real-time applications and easy extension to video retargeting, as the structural constraints from the original image naturally convey the temporal coherence between frames.

L1-Optimized AAM Alignment

An Active Appearance Model, AAM, uses an Lminimization-based approach to aligning an input test image. In each iterative application of its statistical model fitting function, a shape parameter coefficient p and an appearance parameter coefficient λ within the statistical model fitting function are updated by Lminimization. The AAM further includes a canonical classifier to determine if an aligned image is a true example of the class of object being sought before the AAM is permitted to output its aligned image. 2. The Active Appearance Model machine of claim 1 , wherein the appearance basis A is comprised of eigenvectors claim 1 , and A is also computed by L-decomposition.3. The Active Appearance Model machine of claim 1 , wherein said class of object is a human face class.4. The Active Appearance Model machine of further including:canonical class classifier to determine if said aligned image is a true representation of said class of object; andan output for outputting said fitted image only if said canonical class classifier determines that said fitted image is a true representation of said class of object.5. The Active Appearance Model machine of claim 4 , wherein said canonical classifier has access to a library of fitted images (i.e. a library of previously aligned faces) claim 4 , and is trained using said library of fitted images claim 4 , said library of fitted images being comprised of a positive training set of true fitted images and a negative training set of untrue fitted images.6. The Active Appearance Model machine of claim 5 , wherein said positive training set is comprised of manually verified true images output from said align module as a result of submitting said image library of true image samples of said class of object to said align module.7. The Active Appearance Module machine of claim 6 , wherein said negative training set is comprised of object images from said positive training set to which perturbations have been introduced claim 6 , ...

Hierarchical Tree AAM

An active appearance model is built by arranging the training images in its training library into a hierarchical tree with the training images at each parent node being divided into two child nodes according to similarities in characteristic features. The number of node levels is such that the number of training images associated with each leaf node is smaller than a predefined maximum. A separate AAM, one per leaf node, is constructed using each leaf node's corresponding training images. In operation, starting at the root node, a test image is compared with each parent node's two child nodes and follows a node-path of model images that most closely matches the test image. The test image is submitted to an AAM selected for being associated with the leaf node at which the test image rests. The selected AAM's output aligned image may be resubmitted to the hierarchical tree if sufficient alignment is not achieved. 1. An object recognition device for recognizing a class of object in an input test image , said device comprising:an input for receiving said input test image;a plurality of active appearance model processing blocks (AAMs), each of said plurality of AAMs having been trained with a distinct group of independent, digital training images, each training image in all groups of training images having a true example of said class of object with a common, predefined set of characteristic features of said class of object identified and labeled, each group of training images being made distinct by sharing specific traits in select characteristic features distinct from the specific traits in other groups of training images, each of said plurality of AAMs having a corresponding model image and a corresponding statistical model fitting function reflecting the specific traits of the group of training images from which it is trained; (a) defining said input test image as a current_image;', '(b) applying said current_image to a selected AAM selected from among said plurality ...

High-Resolution Magnetocardiogram Restoration for Cardiac Electric Current Localization

Magnetocardiogram (MCG) provides temporal and spatial measurements of cardiac electric activities, which permits current localization. An MCG device usually consists of a small number of magnetic sensors in a planar array. Each sensor provides a highly low-resolution 2D MCG map. Such a low-res map is insufficient for cardiac electric current localization. To create a high resolution MCG image from the sparse measurements, an algorithm based on model learning is used. The model is constructed using a large number of randomly generated high resolution MCG images based on the Biot-Savart Law. By fitting the model with the sparse measurements, high resolution MCG image are created. Next, the 2D position of the electric current is localized by finding the peak in the tangential components of the high resolution MCG images. Finally, the 2D current localization is refined by a non-linear optimization algorithm, which simultaneously recovers the depth of the electric current from the sensor and its magnitude and orientation. 1. A magnetocardiogram (MCG) system comprising:a sensor unit including M×M electromagnetic sensors producing a sparse measurement output of M×M data units, said sparse measurement output constituting a first MCG image;a linear model defining a second MCG image of substantially higher resolution than said first MCG image, said second MCG image having a P×P resolution where P>M, said linear model establishing interpolation patterns between characteristics of the linear model and any data point of said M×M measurement output; anda high resolution MCG image synthesizer for producing a third MCG image by projecting said first MCG image onto the subspace of the linear model, and establishing coefficients for said third MCG image in accordance with the linear model and said M×M data units.2. The MCG system of claim 1 , wherein said third MCG image has a P×P resolution.3. The MCG system of claim 1 , further having an electric current localizer for determining a ...

Multi-Scale, Perspective Context, and Cascade Features for Object Detection

Systems and methods for object detection are presented herein. Embodiments of the present invention utilizing a cascade feature, one or more features at different scales, one or more multi-scale features in combination with a perspective feature, or combinations thereof to detect an object of interest in an input image. In embodiments, the various features are used to train classifiers. In embodiments, the trained classifiers are used in detecting an object of interest in one or more input images. 1. A non-transitory computer-readable medium or media comprising one or more sequences of instructions which , when executed by one or more processors , causes steps to be performed comprising: generating a context region for the image patch comprising at least a portion of the image; and', a high-scale feature comprises one or more features extracted from the image patch at a high-resolution size;', 'a mid-scale feature comprises one or more features extracted from the image patch at a mid-resolution size; and', 'a low-scale feature comprises one or more features extracted from a combined image patch at a low-resolution size, the combined image patch comprising the image patch and the context region., 'constructing a multi-scale feature comprising two or more of], 'for each image patch from a set of one or more image patches from an image2. The non-transitory computer-readable medium or media of wherein the multi-scale feature further comprises:a perspective feature descriptor comprising at least one of an indicator of a location of the image patch in the image and an indicator of a size of the image patch.3. The non-transitory computer-readable medium or media of wherein generating a context region for the image patch comprising at least a portion of the image comprises:selecting a portion or portions of the image that are within a context region area defined by a size that is relative to the size of the image patch and by a position relative to the image patch.4. The ...

Embedded Optical Flow Features

Aspects of the present invention include systems and methods for generating an optical flow-based feature. In embodiments, to extract an optical flow feature, the optical flow at sparse interest points is obtained, and Locality-constrained Linear Coding (LLC) is applied to the sparse interest points to embed each flow into a higher-dimensional code. In embodiments, for an image frame, the multiple codes are combined together using a weighted pooling that is related to the distribution of the optical flows in the image frame. In embodiments, the feature may be used in training models to detect actions, in trained models for action detection, or both. 1. A computer-implemented method comprising:obtaining a set of local motion features for an image frame stored in a memory;for each local motion feature from the set of local motion features, generating a sparse coding vector; andforming an image feature that represents the image frame by pooling the sparse coding vectors based upon a weighting of a distribution of local motion features in the image frame.2. The computer-implemented method of wherein the step of forming an image feature that represents the image frame by pooling the sparse coding vectors based upon a weighting of a distribution of local motion features in the image frame comprises:generating the image feature for a frame by pooling sparse coding vectors for the image frame by weighting each sparse coding vector in relation to a posterior of a local motion feature corresponding to the sparse coding vector.3. The computer-implemented method of wherein weighting each sparse coding vector in relation to a posterior of a local motion feature corresponding to the sparse coding vector comprises:weighting each sparse coding vector by an inverse proportional to a square root of a posterior of a local motion feature corresponding to the sparse coding vector.5. The computer-implemented method of wherein the step of forming an image feature that represents the image ...

Local Difference Pattern Based Local Background Modeling For Object Detection

Systems and methods for object detection that consider background information are presented. Embodiments of the present invention utilizing a feature called Local Difference Pattern (LDP), which is more discriminative for modeling local background image features. In embodiments, the LDP feature is used to train detection models. In embodiments, the LDP feature may be used in detection to differentiate different image background conditions and adaptively adjust classification to yield higher detection rates.

Identifying Text Pixels in Scanned Images

A processor and method make use of multiple weak classifiers to construct a single strong classifier to identify regions that contain text within an input image document. The weak classifiers are grouped by their computing cost from low to median to high, and each weak classifier is assigned a weight value based on its ability to accurately identify text regions. A level 1 classifier is constructed by selecting weak classifiers from the low group, a level 2 classifier is constructed by selecting weak classifiers from the low and median groups, and a level 3 classifier is constructed by selecting weak classifiers from the low, median and high groups. Regions that the level 1 classifier identifies as containing text are submitted to the level 2 classifier, and regions that the level 2 classifier identifies as containing text are submitted to the level 3 classifier. 1. A method of identifying regions of an input image that contain human-readable , printable characters , said method comprising the following steps;(1) providing a plurality of training images, said training images having printable character regions containing examples of said printable characters and non-character regions not containing examples of said printable characters; (a) identifying printable-character regions and non-printable regions, each identified printable-character region and identified non-printing region being designated a training region;', '(b) constructing a connected components (CC) region for each training region by constructing connected components of the foreground pixels in each training region, each CC region and its corresponding training region from which it is constructed constituting a training sample pair;', '(c) computing a plurality of image feature characteristic statistics for each training sample pair, wherein each image feature characteristic statistic provides distinguishing information of each sample pair;, '(2) for each of said training image, applying the following ...

Contact Text Detection in Scanned Images

A device and method for identifying text pixels that are erroneously classified as non-text pixels, includes accessing an image region containing a non-text component. For each non-text component within the image region component, only one determines if there are any long line structures within the bounding box defined by the non-text component. If the long line structures are greater than a predefined percentage of the span of the dimension of the bounding box parallel to the line structure, then the line structure is removed. Any remaining non-text pixels within the bounding box are reclassified as text-pixels.

Model-Based Face Image Super-Resolution

An output image of higher resolution than an input image is constructed by using a low resolution (LR) dictionary of triangle data entries, each having a one-to-one correlation with a high resolution (HR) data entry in an HR dictionary of triangle data entries. The input image is triangularized, and the closest matching LR data entry in the LR dictionary for each triangle in the triangularized input image is identified. The HR data entry correlated to each identified matching LR data entry is then used to construct the output image by wrapping the correlated HR data entry onto the corresponding triangle on the triangularized input image. 1. A method of creating from a first image , a second image of higher resolution than the first image , the method comprising the following steps:(A) defining as high resolution an image resolution substantially higher than the resolution of said first image;(B) defining as low resolution an image resolution substantially lower than the resolution of said second image;(C) providing a high resolution (HR) dictionary of triangularized high resolution (HR) images, each triangularized HR image having a common predefined number of triangles, said HR dictionary having a separate high resolution (HR) data entry for each triangle of each triangularized HR image;(D) providing a low resolution (LR) dictionary of triangularized low resolution (LR) images, each triangularized LR image having said common predefined number of triangles, said LR dictionary having a separate low resolution (LR) data entry for each triangle of each triangularized LR image;(E) assigning a one-to-one correspondence between each LR data entry and an HR data entry to form a data entry pair;(F) triangularizing said first image using a predefined triangularized model mesh having said common predefined number of triangles;(G) for each triangle in the triangularized first image, identifying its closest matching LR data entry within said LR dictionary, each closest matching ...

Adaptive Threshold for Object Detection

Systems and methods for developing and using adaptive threshold values for different input images for object detection are disclosed. In embodiments, detector response histogram-based systems and methods train models for predicting optimal threshold values for different images. In embodiments, when training the model, an optimal threshold value for an image is defined as the value that maximizes the reduction of false positive image patches while preserving as many true positive image patches as possible. Once trained, the model may be used to set different threshold values for different images by inputting a detector response histogram for the image patches of an image into the model to determine a threshold value for detection. 1. A non-transitory computer-readable medium comprising one or more sets of instructions which , when executed by one or more processors , causes the one or more processors to perform a method for training an adaptive thresholding model for detecting an object in an image , the method comprising: obtaining a set of training image patches, each training image patch having an associated detector response value;', 'computing a normalized histogram of the detector response values;', 'computing an optimal threshold value using the detector response values and the ground truth for the training image; and, 'for each training image in a set of training imagestraining a regression model using the normalized histograms and their associated optimal threshold values, the regression model for predicting an optimal threshold value for an input image given a set of detector response values for the input image.2. The non-transitory computer-readable medium of wherein the step of obtaining a set of training image patches claim 1 , each training image patch having an associated detector response value comprises:applying an initial detector to the training image from the set of training images to obtain the sets of training image patches for the training ...

Ray Image Modeling for Fast Catadioptric Light Field Rendering

A catadioptric camera creates images light fields from a 3D scene by creating ray images defined as 2D arrays of ray-structure picture-elements (ray-xels). Each ray-xel capture light intensity, mirror-reflection location, and mirror-incident light ray direction. A 3D image is then rendered from the ray images by combining the corresponding ray-xels. 1. A catadioptric camera system , comprising:a plurality of curved mirrors arranged into a mirror array for reflecting a desired 3D scene;a digital imaging system for capturing ray images of said curved mirrors, each of said ray images being a two-dimensional array of ray-structure picture-elements (ray-xels), each respective ray-xel including a light intensity measure according to a predefined color model, mirror-reflection location coordinates, and mirror-incident ray direction coordinates, wherein:said light intensity measure is indicative of the light intensity received at said respective ray-xel;said mirror-reflection location coordinates are indicative of a surface location on a corresponding curved mirror from which a reflected light ray travels from said corresponding curved mirror to said respective ray-xel, said reflected light ray being a reflection of an incident light ray from a point in said 3D scene to said surface location; andsaid mirror-incident ray direction coordinates are indicative of a vector direction of said incident light ray from said point in said 3D scene to said surface location.2. The catadioptric camera system of claim 1 , wherein said digital imaging system includes a pinhole camera.3. The catadioptric camera system of claim 1 , wherein said digital imaging system is a pinhole camera.4. The catadioptric camera system of claim 1 , wherein said digital imaging system includes a pinhole camera in communication with a processing device.5. The catadioptric camera system of claim 1 , wherein said catadioptric camera system is non-central.6. The catadioptric camera system of claim 1 , wherein ...

SAMPLE TRAPPING METHOD AND SAMPLE TRAPPING APPARATUS

A sample trapping method and apparatus uses a sample conduit for trapping a gas sample by cooling or desorbing the gas sample by heating. The sample conduit may be cooled by arranging the sample conduit in the vicinity of, or bringing the sample conduit into contact with, a cooling part of a cooling device based on a cold storage refrigerator. 1. A sample trapping method using a sample conduit for trapping a gas sample by cooling or desorbing the gas sample by heating , the method comprising:cooling the sample conduit by arranging the sample conduit in the vicinity of, or bringing the sample conduit into contact with, a cooling part of a cooling device based on a cold storage refrigerator.2. The sample trapping method according to claim 1 , wherein a heating part of a heating device is arranged to meet the cooling part claim 1 , and is heated after the gas sample is cooled.3. The sample trapping method according to or claim 1 , wherein the sample conduit is cooled or heated by moving any one or both of the cooling part and the heating part closer to claim 1 , and away from claim 1 , the sample conduit.4. The sample trapping method according to or claim 1 , wherein the sample conduit is arranged by being embedded in any one of the cooling part and the heating part to cool or heat the sample conduit.5. The sample trapping method according to or claim 1 , wherein the sample conduit is cooled and heated rapidly to cryofocus the gas sample claim 1 , and the trapped sample is desorbed.6. The sample trapping method according to claim 1 , wherein the sample conduit is a hollow capillary tubing.7. The sample trapping method according to claim 2 , wherein the sample conduit and one or a plurality of separation columns are arranged in one or a plurality of gas chromatographic thermostats claim 2 , the cooling part and the heating part are arranged to meet the sample conduit between the separation columns claim 2 , and the separated gas sample is cooled and heated.8. The sample ...

APPARATUS FOR CUTTING HAIR

An apparatus for cutting a person's hair, having a comb with a spine, a handle that extends axially from the spine and a plurality of teeth that extends transversely from the spine, and at least one finger that extends transversely from the spine substantially perpendicularly to the plurality of teeth, the at least one finger terminating in a lobe that is shaped to comfortably follow a surface of the person's head and shaped to gently scoop and lift hair away from the person's head. 1. An apparatus for cutting a person's hair , comprising: i) a spine,', 'ii) a handle that extends axially from the spine, and', 'iii) a plurality of teeth that extends transversely from the spine, and, 'a) a comb having'}b) at least one finger that extends transversely from the spine substantially perpendicularly to the plurality of teeth, the at least one finger terminating in a lobe that is shaped to comfortably follow a surface of the person's head and shaped to gently scoop and lift hair away from the person's head.2. An apparatus as claimed in claim 1 , wherein the at least one finger comprises a first plurality of fingers connected together.3. An apparatus as claimed in claim 2 , wherein the spine includes a channel for releasably retaining the at least one finger.4. An apparatus as claimed in claim 3 , wherein:(a) the channel has at least one eye, and(b) the at least one finger has at least one hook that is complementary with the at least one eye for releasable retainment.5. An apparatus as claimed in claim 4 , wherein the spine has a plurality of eyes that are complementary with the at least one hook for releasably retaining the at least one finger in a plurality of positions along the spine.6. An apparatus as claimed in claim 5 , wherein the comb has one or more eyes in the handle to provide temporary storage for one or more fingers not currently being used.7. An apparatus as claimed in claim 2 , wherein the at least one finger further includes a second plurality of fingers ...

Denoise MCG Measurements

A magnetocardiogram (MCG) system with reduced noise artifacts is produced by first creating high-resolution image representations of low-resolution measurements obtained with a magnetic field sensor unit. The high-resolution image representations are created by use of a PCA model that has been trained using a library of ideal, no-noise, high-resolution images. The Biot-Sarvart Law is then used to create a 3D model of a current impulse, given the high-resolution image representations. From the 3D current impulse model, ideal sensor unit measurements as they would have been obtained using a theoretical sensor unit observing the 3D current impulse model are synthesized. 1. A magnetocardiogram (MCG) system comprising:a sensor unit including M×M electromagnetic sensors producing a sparse measurement output of M×M data values, said sparse measurement output constituting a first MCG image;a high resolution MCG image synthesizer for receiving said first MCG image and producing a higher resolution image representation of said first MCG image, said higher resolution image representation being a second MCG image of higher pixel density than said first MCG image; anda de-noising image processing block for receiving said second MCG image and producing a de-noised lower resolution image representation of said second MCG image, said de-noised lower resolution image representation being a third MCG image having M×M picture elements within a physical sensor area corresponding to the span of said M×M data values of said first MCG image and having a reduced noise level as compared to said first MCG image.2. The MCG system of claim 1 , wherein said de-noising image processing block identifies as target picture elements the picture elements of said second MCG image whose image locations correspond to the image locations of the M×M data values of said first MCG image claim 1 , and populates said physical sensor area with said target pictures elements.3. The MCG system of claim 1 , ...

DATA PROCESSING METHOD AND SYSTEM FOR CHECKING PIPELINE LEAKAGE

A method for checking pipeline leakage comprises: receiving detecting parameters collected by at least one sensor with respect to pipelines in its corresponding region; gathering detecting parameters collected by the at least one sensor; analyzing the gathered detecting parameters to obtain an evolutionary tendency of detecting parameters in the corresponding region of the at least one sensor; judging if the evolutionary tendency of the detecting parameters satisfies predefined features of leakage; determining that pipeline leakage exists in the corresponding region if the evolutionary tendency of the detecting parameters satisfies the predefined features of leakage. The present invention may help to determine leak regions with a leakage having small flow quantity, and provide a user with regions with pipeline leakage to be detected based on a resource constraint. 1. A data processing method for checking pipeline leakage , the method comprising:receiving detecting parameters collected by at least one sensor with respect to pipelines in its corresponding region;gathering detecting parameters collected by the at least one sensor;analyzing the gathered detecting parameters to obtain an evolutionary tendency of detecting parameters in the corresponding region of the at least one sensor;judging if the evolutionary tendency of the detecting parameters satisfy predefined features of leakage; anddetermining that pipeline leakage exists in the corresponding region if the evolutionary tendency of the detecting parameters satisfies the predefined features of leakage.2. The method according to claim 1 , wherein the gathering comprises gathering detecting parameters collected by at least one sensor respectively to form the gathered detecting parameters respectively corresponding to a plurality of regions.3. The method according to claim 1 , further comprising:in response to determining that no pipeline leakage exists in the corresponding region, (i) re-gathering detecting ...

Multiview Face Content Creation

New views of a 2D image are generated by identifying an object class within the image, such as through a face detector. The face is then fitted to a model face by means of an AAM, and the results extended to a fitted 3D polygon mesh face. A boundary perimeter with predefined anchor points and a predefined triangulation with the 3D polygon mesh is defined a predefined depth distance from the depth center of known landmarks within the 3D polygon mesh face. By rotating the 3D polygon mesh face relative to the boundary perimeter, which may follow the perimeter of the input image, new views of the input image are generated. 1. A multi-view image synthesis method for generating multiple views of an input image , said method comprising the following steps:(a) accessing said input image;(b) applying an auto-detection process to said input image for detecting a predefined object-class;(c) in response to said auto-detection process detecting a target image region within said input image that corresponds to said predefined object-class, aligning the target image region to a predefined 3-dimensional (3D) polygon mesh of said predefined object-class;(d) coupling the aligned target image to a boundary shape defined on said input image, said boundary shape having predefined anchor points for coupling to outer vertices of the aligned target image; and(e) rotating the aligned target image in accordance with a rotation of the 3D polygon mesh and in accordance with its triangulation with said anchor points, and replacing said target image region with the rotated aligned target image within said input image.2. The multi-view image synthesis method of claim 1 , wherein said input image is a two-dimensional (2D) image.3. The multi-view image synthesis method of claim 1 , wherein said auto-detection process is a face detection process and said predefined object-class is a human face.4. The multi-view image synthesis method of claim 1 , wherein said polygon mesh is a triangle mesh.5. The ...

Global Classifier with Local Adaption for Objection Detection

Aspects of the present invention include object detection training systems and methods and using object detection systems and methods that have been trained. Embodiments presented herein include hybrid learning approaches that combine global classification and local adaptations, which automatically adjust model complexity according to data distribution. Embodiments of the present invention automatically determine model complexity of the local learning algorithm according to the distribution of ambiguous samples. And, embodiments of the local adaptation from global classifier avoid the common under-training problem for local classifier. 1. A computer-implemented method for training a detection system for detecting an object in an image , the method comprising:obtaining a set of image patches, wherein each image patch is associated with a label indicating whether or not the image patch contains the object and with at least one feature;using the features of the set of image patches to train a global classifier;applying the global classifier to the features of the set of image patches to identify a set of ambiguous features that have response values from the global classifier that are within an ambiguous response value range;selecting a number of clusters to cluster the set of ambiguous features based at least in part on detection accuracy of classifiers trained using different clustering;clustering the set of ambiguous features using the selected number of clusters; andfor each cluster, using the ambiguous features associated with the cluster and the labels associated with those features to train a local classifier for that cluster.2. The computer-implemented method of wherein the step of using the ambiguous features associated with the cluster and the labels associated with those features to train a local classifier for that cluster comprises:adapting the global classifier using the ambiguous features for the cluster to obtain the local classifier.3. The computer- ...

Substructure and Boundary Modeling for Continuous Action Recognition

Embodiments of the present invention include systems and methods for improved state space modeling (SSM) comprising two added layers to model the substructure transition dynamics and action duration distribution. In embodiments, the first layer represents a substructure transition model that encodes the sparse and global temporal transition probability. In embodiments, the second layer models the action boundary characteristics by injecting discriminative information into a logistic duration model such that transition boundaries between successive actions can be located more accurately; thus, the second layer exploits discriminative information to discover action boundaries adaptively. 1. A non-transitory computer-readable medium or media comprising one or more sequences of instructions which , when executed by one or more processors , causes steps for recognizing a sequence of actions , comprising:segmenting input sensor data into time frames;for a time frame from a set of time frames, generating a feature using at least some of the input sensor data associated with the time frame; andfor a time frame from the set of time frames, assigning an estimated action label for the time frame based upon an output of a state space model that comprises a substructure transition model and a discriminative boundary model, the state space model using the feature of the time frame as an input.2. The non-transitory computer-readable medium or media of wherein the state space model comprises one or more switching linear dynamic system models.3. The non-transitory computer-readable medium or media of wherein the state space model further comprises a multinomial logistic transition model comprising an action label layer and a duration layer.4. The non-transitory computer-readable medium or media of wherein the substructure transition model is functionally interposed between a hidden state layer and the multinomial logistic transition model of the state space model such that nodes of ...

No-Tools Spread Faucet Assembly, Kits and Methods

A spread faucet assembly, an installation kit, and an installation method are described herein. The spread faucet assembly has a spout assembly with a spout, a tailpiece, and at least one fluid inlet conduit. It also include at least one valve assembly having a shank, an fluid inlet conduit, a fluid outlet conduit and a valve cartridge, wherein the shank has an inner surface having a fluid receiving area in fluid communication with the valve cartridge and the fluid outlet conduit, the inner surface defines an opening in fluid communication with the valve cartridge and valve assembly fluid inlet conduit, and the valve cartridge is positioned in the opening. A connector is also included for coupling the at least one valve assembly fluid outlet conduit with the at least one spout assembly fluid inlet conduit. A self-turning nut assembly is also provided having a nut with an outer surface and a tightening sleeve having an outer surface with at least one outwardly extending projection for securing the nut to a fluid supply connection. 1. A spread faucet assembly , comprising:a spout assembly having a spout, a tailpiece and at least one fluid inlet conduit; the shank has an inner surface having a receiving area in fluid communication with an outlet of the valve cartridge and with the fluid outlet conduit,', 'the inner surface of the shank defines an opening in fluid communication with an inlet to the valve cartridge and with the valve assembly fluid inlet conduit, and', 'the valve cartridge is positioned in the opening; and, 'at least one valve assembly having a shank, a fluid inlet conduit, a fluid outlet conduit and a valve cartridge, wherein'}a connector for connecting the at least one valve assembly fluid outlet conduit with the at least one spout assembly fluid inlet conduit.2. The spread faucet assembly according to claim 1 , wherein the inner surface of the shank defines a bullet-shaped opening.3. The spread faucet assembly according to claim 1 , wherein at least ...

HYBRID FAUCET ASSEMBLY AND WATER WAY FOR SAME

A faucet assembly is disclosed which is of a modular type for use in varying faucet designs and incorporating polymeric or partially polymeric parts in the internal water way assembly therein. The faucet assembly includes a cover plate and an internal water way assembly as well as at least one faucet handle. The internal water way assembly includes a valve assembly having a shank and a valve water way portion positioned on an upper portion of the shank. The valve water way portion defines a valve seat therein, and has a transversely extending outlet passageway. A valve cartridge for controlling flow through the assembly is seated in the valve seat, and, a bridge, which may be a single component or multi-part bridge has a passageway therethrough to receive water from the valve water way portion and a spout receiving portion. A spout tube is configured to be positioned in or on the spout receiving portion of the bridge. The internal water way assembly is attached to the cover plate. 1. A faucet assembly , comprising(a) a cover plate having an interior surface and an exterior surface; and [ a shank defining a longitudinally extending interior passageway therein, and', 'a valve water way portion positioned on an upper portion of the shank and configured to define a valve seat therein, wherein the valve water way portion has a transversely extending outlet passageway therein, and the valve seat is configured to receive fluid from a fluid source, and, '(i) a valve assembly having'}, '(ii) a valve cartridge for controlling flow through the internal water way assembly having an inlet for receiving water entering the valve seat and an outlet in communication with the outlet passageway of the valve water way portion;', '(iii) a bridge having a passageway therethrough in fluid communication with and to receive water from the outlet passageway of the valve water way portion of the valve assembly and the bridge having a spout receiving portion having a passageway therethrough; ...

Hash-Based Face Recognition System

In a face recognition system, overlapping patches are defined on a canonical face. Random clusters of pixel pairs are defined within each patch, and binary features are determined for each pixel pair by comparing their respective feature values. An inverted index hash table is constructed of the binary features. Similar binary features are then determined on a library of registrable samples of identified faces. A log probability of each registrable sample generating a binary feature from a corresponding cluster of pixel pairs at each specific patch location is determined and stored in the hash table. In a search phase, similar binary features are determined, and a hash key is determined for each binary feature. The log probabilities for each identity found in the hash table are summed for all clusters of pixel pairs and locations and sorted to find the high probability match.

THERAPEUTIC APPLICATIONS OF SMAD7

The invention provides methods and compositions for the treatment of inflammatory and/or tissue damage conditions. In particular, the use of Smad7 compositions delivered locally or systemically to a site of inflammation and/or tissue damage is described. Other specific embodiments concern treatment or prevention of side effects caused by radiation and/or chemotherapy, including but not limited to mucositis. 1. A method for treating or preventing an inflammatory condition in a subject comprising providing to the subject a therapeutically effective amount of a Smad7 (mothers against decapentaplegic homolog 7).2. The method of claim 1 , wherein Smad7 is provided as a protein claim 1 , an expression vector encoding a Smad7 protein.3. The method of claim 2 , wherein the composition comprises a Smad7 protein fused to a protein transduction domain (PTD).4. The method of claim 3 , wherein said Smad7 protein fusion further comprises a regulatory domain that prevents Smad7 function in the absence of an activator claim 3 , and the method further comprises provision of said activator.56-. (canceled)7. The method of claim 1 , wherein the Smad7 is provided in a formulation on a patch claim 1 , in a gelatinous composition claim 1 , in a microsphere claim 1 , in a microbead or combination thereof.8. The method of claim 7 , wherein the patch comprises a biodegradable patch.9. The method of claim 8 , wherein said biodegradable patch comprises an alginate polymer.10. The method of claim 1 , wherein the Smad7 is provided local to an affected region.11. The method of claim 1 , wherein the Smad 7 is provided systemically.12. The method of claim 1 , further comprising administering a second anti-inflammatory therapy to said subject.13. The method of claim 12 , wherein said PTD is Tat.14. The method of claim 1 , wherein the composition comprises a detectable marker.15. The method of claim 1 , wherein the acute inflammatory condition is selected from gut mucositis claim 1 , oral mucositis ...

Fast and Robust Classification Algorithm for Vein Recognition Using Infrared Images

A specific item within an item class is identified by defining sets of descriptor data from a training library. The collected descriptor data is grouped and organized into a hierarchical tree, where each leaf node is defined by relations between corresponding parts of the descriptor data. Registrable sets of descriptor data are then identified from a collection of registrable samples. The registrable sets of descriptors are sorted into the hierarchical tree. When an input sample to be identified is received, a test set of descriptor data is generated from the input sample. The test set is then sorted into the hierarchical tree. Each leaf node that receives a part of the test set provides a vote for the registered samples it contains. The registered sample with the most votes is deemed a match for the input sample. 1. A method of identifying a specific item within an item class , said method comprising:(a) from a training library of item samples of said item class, identifying a separate set of item descriptors for individual item samples in said training library;(b) collecting the separate sets of item descriptors into a single composite collection of item descriptors;(c) organizing said composite collection of item descriptors into a hierarchical tree structure according to relations in the item descriptors;(d) accessing a collection of unique registrable item samples belonging to said item class, each registrable item sample being a representation of a different target item and having a unique identification (ID) code identifying its corresponding target item;(e) identifying a, separate and corresponding, registrable set of item descriptors for each of said registrable item samples;(f) distributing the registrable sets of item descriptors into said hierarchical tree according to said relations in the item descriptors by which said hierarchical tree is organized, each leaf node of said hierarchical tree that receives any part of a registrable set of item ...

GAS LEAK DETECTOR

A gas-leak detector includes a suction pump that sucks sample gas and reference gas, two gas detection sensors, and a cell block having a cell therein. The cell receives the gasses and has two suction-gas introduction channels and a single gas discharge channel opening thereinto. The gas-leak detector detects a gas leak on the basis of outputs from the sensors. The introduction channels and the discharge channel open into the cell at a first one of opposing surfaces of the cell, the opening of the discharge channel being arranged between the openings of the two introduction channels. The sensors are on the same plane as a second one of the opposing surfaces and are arranged between the opening of the discharge channel and the openings of the introduction channels. The suction pump is arranged on the cell block and communicates with the opening of the discharge channel. 1. A gas-leak detector comprising:a suction pump that sucks sample gas that leaks from a test subject and reference gas that serves as a detection reference;two gas detection sensors capable of measuring changes in electric resistances based on thermal conductivities of the respective sucked gasses; anda cell block having a cell therein, the cell being a single space capable of receiving the two sucked gasses, the cell having two suction-gas introduction channels and a single gas discharge channel opening thereinto,wherein the gas-leak detector is capable of detecting a gas leak on the basis of outputs from the two gas detection sensors,wherein the two suction-gas introduction channels and the gas discharge channel open into the cell at a first one of two opposing surfaces of the cell, the opening of the gas discharge channel being arranged between the openings of the two suction-gas introduction channels,wherein the two gas detection sensors and a second one of the two opposing surfaces of the cell are on a same plane and the two gas detection sensors are arranged between the opening of the gas ...

Continuous Modeling for Dipole Localization from 2D MCG Images with Unknown Depth

A system identifies double-layer dipoles in a magnetic image by defining two-dimensional patches of distributed point charges that simulate the double-layer dipoles. The geometric center of a two-dimensional patch is used as the location of an equivalent dipole moment of the double-layer dipole. The momentum of the equivalent dipole moment is determined by submitting the magnetic image to a dipole construction system that identifies the location and momentum based on the submitted magnetic image. 1. A method of identifying a double-layer dipole from a magnetic image , comprising:obtaining a magnetic image of a magnetic field generated by a double-layer dipole, wherein said double-layer dipole is of undefined shape, size, depth and orientation;submitting said magnetic image to a current dipole constructing system to determine a 3D position and momentum of an electric current in accord with the magnetic image;assigning the 3D position of the electric current to the geometric center of a single double-layer 2D patch; anddeeming the geometric center of the single double-layer 2D patch to the position of an equivalent dipole moment of said double-layer dipole, said equivalent dipole moment being characterized by the generation of an electric field substantially similar to that produced by said double-layer dipole.2. The method of claim 1 , wherein the momentum generated by the dipole generator is assigned to said equivalent dipole moment.3. The method of claim 1 , wherein said single double-layer 2D patch is an approximation of said double-layer dipole.4. The method of claim 1 , wherein single double-layer 2D patch is of undefined size.5. The method of claim 1 , wherein said double-layer 2D patch is a distribution of point sources of electric charge having a common polarity.6. The method of claim 1 , wherein said single double-layer 2D patch defines an isochronal activation surface.7. The method of claim 6 , wherein said single double-layer 2D patch is one of two ...

2D Dipole Localization Using Absolute Value of MCG Measurements

A magnetic imaging systems produces magnetic magnitude images using magnetic sensors capable of determining only the absolute value of a detected magnetic field and provide no information regarding the positive or negative sign of the detected magnetic image. A 2D dipole location is determines the 2D location of a dipole within a magnetic magnitude image by finding the minimum of the derivative of the absolute value of the magnetic field. This 2D dipole location is then used to determine the 3D position and momentum of a current dipole responsible for the observed magnetic magnitude image. The current dipole is used to generate a magnetic image that incorporate positive and negative sign information. 1. A magnetic imaging system , comprising:magnetic magnitude sensor (MMS) unit providing a first MMS image consisting of an array of capture point data, wherein each capture point datum is the absolute value of a magnetic field in a direction normal to said array at that capture point;a high resolution image synthesizer receiving said first MMS image, said high resolution image synthesizer implementing a linear model of high resolution magnetic magnitude images, said high resolution image synthesizer further projecting said first MMS image into the subspace of the linear model and estimating model coefficients to produce a synthesized second MMS image as a model instance of the linear model, wherein said second MMS image defines a |Bz| map, said |Bz| map being a map of the absolute values of a magnetic field at each data point of the second MMS image in a direction normal to the second MMS image;a two-dimensional (2D) dipole localization unit receiving said second MMS image, said 2D dipole localization unit calculates the derivative of |Bz|, identifies the image minimum of the derivative of |Bz|, and defines the location of said image minimum as the 2D location of a current dipole within said second MMS image.2. The magnetic imaging system of claim 1 , wherein:the array ...

Small Vein Image Recognition and Authorization Using Constrained Geometrical Matching and Weighted Voting Under Generic Tree Model

An automated registration and authentication system combines a generative and discriminative approach to improve the matching of a query object to a database of registered objects. The discriminative approach uses a voting mechanism to identify a most likely match, and the generative approach uses ASIFT transforms to determine a best geometric match. The two results are combined using a technique base on Bayesian inference theory.

Constructing Incremental Tree Model for Vein Image Recognition and Authentication

An indexed hierarchical tree search structure implements incremental tree modification to add new registrants to the tree without requiring reconstruction of the tree. Only data within a leaf node that receives new data is used in the incremental tree modification. Consequently, the original data set used in the creation of the hierarchical tree may be deleted after construction of the tree. 1. A method of creating an updatable search tree identifying a specific item within an item class , said method comprising:(a) accessing a collection of unique registrable item samples belonging to said item class, each registrable item sample being a representation of a different target item and having a unique identification (ID) code identifying its corresponding target item;(b) identifying a, separate and corresponding, registrable set of item descriptors for each of said registrable item samples;(c) creating a composite collection of item descriptors from the separate registrable sets of item descriptors into;(d) organizing said composite collection of item descriptors into a hierarchical tree structure according to relations in the item descriptors, each leaf node of said hierarchical tree being indexed according to its leaf index list, said leaf index list being comprised of the ID's of the target items corresponding to the item descriptors within the leaf node;(e) accessing a new registrable item having a unique identification (ID) code identifying its corresponding target item;(f) identifying a new registrable set of item descriptors for said new registrable item;(g) distributing the new registrable set of item descriptors into said hierarchical tree according to said relations in the item descriptors by which said hierarchical tree is organized, each leaf node of said hierarchical tree that receives any part of said new registrable set of item descriptors being a target leaf node, and each target leaf node being subjected to an incremental tree modification of said ...

Confidence Based Vein Image Recognition and Authentication

An indexed hierarchical tree search structure converts each registration sample into an equivalent registration model based on the clustering of its registration item descriptors in the leaf nodes of the hierarchical tree. Query item descriptors from a query sample from someone wanting to be recognized are distributed into the hierarchical tree. A query model is defined based on the clustering of query item descriptors at the leaf nodes, and registration and verification are made based on comparison of the query model and the registration models.

PIN BASED METHOD OF PRECISION DIAMOND TURNING TO MAKE PRISMATIC MOLD AND SHEETING

A system, and corresponding method for use, for providing a mass-producible retroreflective material, or sheeting, featuring full cube corner pins is presented. The full cube corner shaping may be provided with the use of a diamond turning tool. The diamond turning tool may be used to simultaneously manufacture a number of pins. The pins may be used to form a mold featuring a triangular or full cube corner surface formation. 1. A method for making a mold for forming a retroreflective sheeting , the method comprising:forming a pin bundle from a plurality of pins;leveling a top and a bottom surface of the pin bundle;machining the top surface of the pin bundle with a diamond turning tool to provide predefined shapes for each pin on the top surface;selecting a sub-set of pins from the pin bundle to form a sub-set bundle, each pin in the sub-set bundle having a same predetermined shape, wherein the predetermined shape comprises a single full cube corner; andelectroforming the sub-set bundle to provide the mold.2. The method of wherein machining the top surface further comprises:making cuts along three axes with the diamond turning tool along the top surface of the pin bundle, each of the three axes comprising a different direction and an associated tool tilt angle.3. The method of wherein the predetermined shape has three smooth and retroreflective surfaces.4. The method of wherein the three tool tilt angles comprise an equal value.5. The method of wherein the pins have a hexagonal cross section.6. The method of wherein the full cube corner includes a hexagonal aperture and the cube corner has three facets claim 5 , each facet including a polygon boundary of equal value.7. The method of wherein the polygon is a rectangle claim 6 , square claim 6 , or pentagon.8. The method of wherein the pins have a rectangular cross section.9. The method of wherein the full cube corner includes a rectangular aperture claim 8 , and the full cube corner also includes first and second ...

SUPPORTING APPARATUS FOR DISPLAY

A power-assisted supporting apparatus includes a base, a supporting member, and a drive mechanism connected between the base and the supporting member. The drive mechanism includes a motor, a gear assembly, and a controller controlling the motor. The motor includes a drive gear driving the gear assembly. The gear assembly includes a connecting shaft connected to the supporting member. The user presses buttons to instruct the controller to activate the motor, and the drive gear drives the gear assembly to rotate an electronic device which is held by the supporting member. 1. A supporting apparatus , comprising:a base;a supporting member; anda drive mechanism connected between the base and the supporting member, and comprising a motor comprising a drive shaft and a drive gear mounted to the drive shaft, a gear assembly connected to the drive shaft and comprising a connecting shaft connected to the supporting member, and a controller controlling the motor to operate, thereby allowing the drive gear to drive the gear assembly to rotate the supporting member.2. The supporting apparatus of claim 1 , wherein the gear assembly comprises a first gear set claim 1 , a second gear set claim 1 , and a third gear set claim 1 , the first gear set comprises a first bull gear mounted to the connecting shaft claim 1 , the second gear set comprises a rotation shaft claim 1 , a second bull gear mounted to a first end of the rotation shaft claim 1 , and a first pinion mounted to a second end of the rotation shaft claim 1 , the third gear set comprises a pivot claim 1 , a second pinion mounted to a first end of the pivot claim 1 , and a third bull gear mounted to a second end of the pivot claim 1 , the first pinion engages with the first bull gear claim 1 , the second pinion engages with the second bull gear claim 1 , and the drive gear engages with the third bull gear.3. The supporting apparatus of claim 2 , wherein the drive mechanism further comprises a first bracket and a second ...

ELECTRONIC DEVICE WITH DISPLAY SUPPORT APPARATUS

An electronic device includes a base, a display unit, a supporting member, a first drive mechanism, a second drive mechanism, and a controller. The first drive mechanism includes a first motor and a first gear assembly. The first motor includes a first drive gear driving the first gear assembly and the second drive mechanism includes a second motor and a second gear assembly. The second motor includes a second drive gear driving the second gear assembly. By operating buttons, the user can change the orientation of the display unit or other supported device, the first and second motors providing power assistance to the user in two planes of movement. 1. A supporting apparatus , comprising:a base;a supporting member;a first drive mechanism connected between the base and the supporting member, and comprising a first motor with a first drive shaft and a first drive gear mounted to the first drive shaft, a first gear assembly connected to the first drive gear and comprising a first connecting shaft connected to the supporting member;a second drive mechanism connected to the supporting member, and comprising a second motor comprising a second drive shaft and a second drive gear mounted to the second drive shaft, a second gear assembly connected to the second drive gear and comprising a connecting member for being connected to the display unit; anda controller controlling the first and second motors to operate, thereby allowing the first and second drive gears to drive the first and second gear assemblies to rotate the supporting member and the display unit.2. The supporting apparatus of claim 1 , wherein the first gear assembly comprises a first gear set claim 1 , a second gear set claim 1 , and a third gear set claim 1 , the first gear set comprises a first bull gear mounted to the connecting shaft claim 1 , the second gear set comprises a rotation shaft claim 1 , a second bull gear mounted to a first end of the rotation shaft claim 1 , and a first pinion mounted to a ...

PTD-SMAD7 THERAPEUTICS

The present technology provides methods and compositions for the treatment of inflammatory and/or tissue damage conditions. In particular, the use of Smad7 compositions delivered locally or systemically to a site of inflammation and/or tissue damage is described. Other specific embodiments concern treatment or prevention of side effects caused by radiation and/or chemotherapy, including but not limited to oral and gastric mucositis. Also provided are codon-optimized nucleic acids encoding for Smad7 fusion proteins. 120.-. (canceled)21. A fusion protein comprising a protein transduction domain and a functional Smad7 domain , wherein the functional domain is selected from the group consisting of amino acids 2-258 of the amino acid sequence as set forth in SEQ ID NO: 12 and amino acids 259-426 of the amino acid sequence as set forth in SEQ ID NO: 12.22. The fusion protein of claim 21 , wherein the protein transduction domain is a variant of a Tat protein from HIV.23. The fusion protein of claim 22 , wherein the protein transduction domain is selected from the group consisting of SEQ ID NO: 2 claim 22 , SEQ ID NO: 4 claim 22 , and SEQ ID NO: 6.24. The fusion protein of claim 21 , wherein the fusion protein further comprises one or more of an epitope tag or a purification tag.25. The fusion protein of claim 21 , wherein the amino acid sequence of the fusion protein is set forth in SEQ ID NO: 27.26. The fusion protein of claim 25 , wherein the functional Smad7 domain has one or more biological activities selected from the group consisting of mediating cell migration claim 25 , promoting cell proliferation claim 25 , reducing radiation-induced DNA damage claim 25 , and blocking fibrotic response.27. The fusion protein of claim 21 , wherein the amino acid sequence of the fusion protein is set forth in SEQ ID NO: 25.28. The fusion protein of claim 27 , wherein the functional Smad7 domain has one or more biological activities selected from the group consisting of reducing or ...

THERAPEUTIC APPLICATIONS OF SMAD7

The invention provides methods and compositions for the treatment of inflammatory and/or tissue damage conditions. In particular, the use of Smad7 compositions delivered locally or systematically to a site of inflammation and/or tissue damage is described. Other specific embodiments concern treatment or prevention of side effects caused by radiation and/or chemotherapy, including but not limited to mucositis. 142.-. (canceled)43. A method for treating or preventing one or more of skin inflammation or oral ulcers in a subject in need thereof comprising:administering to the subject in need thereof a therapeutically effective amount of a fusion protein comprising Smad7 (mothers against decapentaplegic homolog 7) fused to a protein transduction domain, wherein the protein translocates to the nucleus.44. The method of claim 43 , wherein the protein comprising Smad7 protects cells against DNA damage.45. The method of claim 43 , wherein the protein comprising Smad7 accelerates epithelial cell proliferation and/or migration.46. The method of claim 43 , wherein the subject is undergoing chemotherapy claim 43 , radiotherapy claim 43 , cytokine therapy claim 43 , immunotherapy claim 43 , hormone therapy claim 43 , toxin therapy claim 43 , or targeted therapy.47. The method of claim 43 , wherein the skin inflammation is the result of radiation toxicity or cancer therapy.48. The method of claim 43 , wherein the subject has an autoimmune disease or disorder.49. The method of claim 43 , wherein the protein comprising Smad7 is administered systemically or locally to an affected region.50. The method of claim 43 , wherein the protein comprising Smad7 is administered topically.51. The method of claim 43 , wherein the protein comprising Smad7 is provided in a formulation on a patch claim 43 , in a gelatinous composition claim 43 , in a microsphere claim 43 , in a microbead or combination thereof.52. The method of claim 43 , wherein the protein transduction domain is Tat.53. A method ...

Method and System for Authenticating Genuine Products for Online Shopping

A method of authenticating genuine products in an online shopping platform, including the steps of receiving an online shopping order from a buyer through the online shopping platform, the order having information about a targeted product and a designated store; purchasing the targeted product at the designated store by a buying agent; putting a unique and non-replaceable identification item on the targeted product when the purchase transaction is completed; videotaping selection of the targeted product by the buying agent, the purchasing of the targeted product at the designated store, and putting the unique and non-replaceable identification item on the targeted product; and making the video captured accessible to the buyer of the targeted product. 1. A method for authenticating a genuine product purchased by a buying agent for a buyer through an online shopping system , comprising the steps of:providing one or more videos captured by a video capturing device viewable for the buyer to access a purchase transaction process of a targeted product at a designated store, a process of at least a unique and non-replaceable identification item being putted to the targeted product, and a process of forming a unique and non-replaceable identification pattern on the unique and non-replaceable identification item putted to the targeted product; andbroadcasting the one or more videos through a predetermined communication network allowing the buyer monitoring the purchase transaction process of the targeted product at the designated store, the process of the unique and non-replaceable identification item being putted to the targeted product, and the process of forming the unique and non-replaceable identification pattern on the unique and non-replaceable identification item putted to the targeted product.2. The method claim 1 , as recited in claim 1 , wherein in the one or more videos providing step claim 1 , the buyer who has received the targeted product purchased by the ...

PTD-SMAD7 THERAPEUTICS

The present technology provides methods and compositions for the treatment of inflammatory and/or tissue damage conditions. In particular, the use of Smad7 compositions delivered locally or systemically to a site of inflammation and/or tissue damage is described. Other specific embodiments concern treatment or prevention of side effects caused by radiation and/or chemotherapy, including but not limited to oral and gastric mucositis. Also provided are codon-optimized nucleic acids encoding for Smad7 fusion proteins. 148-. (canceled)49. A protein molecule comprising a protein transduction domain and a human mothers against decapentaplegic-7 protein (Smad7) fragment comprising amino acids 259-426 of the human Smad7 protein , wherein the Smad7 fragment retains one or more biological activities of the functional full-length Smad7 protein , and with the proviso that the protein molecule lacks at least amino acids 1-203 of the human Smad7 protein.50. The protein molecule of claim 49 , wherein the human mothers against decapentaplegic-7 protein (Smad7) fragment consists of amino acids 259-426 of the human Smad7 protein.51. The protein molecule of claim 49 , wherein the protein transduction domain is Tat.52. The protein molecule of claim 50 , wherein the protein transduction domain is Tat.53. A pharmaceutical composition comprising the protein molecule of claim 49 , and one or more pharmaceutically acceptable excipients.54. A method for treating an inflammatory condition in a subject in need thereof claim 49 , comprising administering to the subject a therapeutically effective amount of the protein molecule of .55. The method of claim 54 , wherein the inflammatory condition is selected from the group consisting of radiation-induced damage claim 54 , psoriasis claim 54 , stomatitis claim 54 , proctitis claim 54 , ulcerative colitis claim 54 , Crohn's disease claim 54 , irritable bowel disease claim 54 , and inflammatory bowel disease.56. A method for treating a disease or ...

METHODS OF GENERATING XENOCHIMAERIC MICE WITH TUMOR AND HEMATOPOIETIC SYSTEM FROM THE SAME HETEROLOGOUS SPECIES

The present invention provides methods for the generation of xenochimaeric animals; for example, xenochimaeric mice, comprising bone marrow progenitor cells and tumors from a heterologous animal. In some aspects, the invention provides xenochimaeric mice bearing humanized bone marrow and human tumors. Such animals are a model system for the study of human tumor stroma, for drug discovery, and for the treatment of human cancers. 1. A method for producing a xenochimaeric mouse , the method comprisinga) introducing heterologous hematopoietic stem cells (HSCs) from a heterologous animal to the mouse, andb) introducing a solid tumor from the heterologous animal to the mouse.2. The method of claim 1 , wherein the heterologous animal is a human.3. The method of claim 1 , wherein the HSCs and the tumor are from the same individual.411-. (canceled)12. The method of claim 1 , wherein the heterologous HSCs are conditionally immortalized HSCs.13. The method of claim 12 , wherein the heterologous HSCs have been conditionally immortalized by culturing the HSCs in the presence of a MYC polypeptide and a BCL-2 polypeptide.1415-. (canceled)16. The method of claim 13 , wherein the MYC polypeptide is a Tat-MYC polypeptide and/or the BCL-2 polypeptide is a Tat-BCL-2 polypeptide.17. The method of claim 12 , wherein the heterologous HSCs have been conditionally immortalized by introducing nucleic acids encoding myc and/or bcl-2 into the cell.1819-. (canceled)20. The method of claim 1 , wherein the tumor sample is a solid tumor sample selected from a head and neck tumor claim 1 , a brain tumor claim 1 , an eye tumor claim 1 , a thyroid tumor claim 1 , an adrenal tumor claim 1 , a salivary gland tumor claim 1 , an esophageal tumor claim 1 , a gastric tumor claim 1 , an intestinal tumor claim 1 , a colon tumor claim 1 , a lung tumor claim 1 , a breast tumor claim 1 , a liver tumor claim 1 , a pancreas tumor claim 1 , a kidney tumor claim 1 , a bladder tumor claim 1 , a prostate tumor claim ...

CABLE MODEM AND METHOD THEREOF, COMPUTER READABLE MEDIUM AND APPARATUS

A cable modem in communication with a cable modem termination system, configured to perform at least the following: during an operation phase of the cable modem, acquiring and storing damaged channel information indicating a damaged channel among a plurality of channels between the cable modem and the cable modem termination system which is detected during the operation phase; during an initialization phase of the cable modem, adjusting a scanning sequence of the plurality of channels according to the stored damaged channel information so as to cause the damaged channel to have the latest scanning order; and scanning the plurality of channels according to the adjusted scanning sequence to determine, among the plurality of channels, a channel for performing communication between the cable modem and the cable modem termination system. 1. A cable modem in communication with a cable modem termination system , the cable modem comprising:a memory having instructions stored thereon; anda processor configured to execute the instructions stored on the memory to cause the cable modem to perform at least the following:during an operation phase of the cable modem, acquiring and storing damaged channel information indicating a damaged channel among a plurality of channels between the cable modem and the cable modem termination system which is detected during the operation phase; adjusting a scanning sequence of the plurality of channels according to the stored damaged channel information so as to cause the damaged channel to have the latest scanning order; and', 'scanning the plurality of channels according to the adjusted scanning sequence to determine, among the plurality of channels, a channel for performing communication between the cable modem and the cable modem termination system., 'during an initialization phase of the cable modem,'}2. The cable modem according to claim 1 , whereinthe damaged channel information indicates the latest detected damaged channel during the ...

Method for Adjusting Media Stream Transmission Bandwidth and Related Apparatus

A method for adjusting media stream transmission bandwidth and a related apparatus are provided. A media stream sending end acquires scores that are given, according to identifiers of multiple media streams, by a media stream receiving end to the media streams, where the multiple media streams are transmitted at a same transmission port, and these identifiers are described based on media stream content; when it is detected that congestion occurs or congestion is resolved, the media stream sending end performs transmission bandwidth adjustment on a corresponding media stream according to these scores, and therefore media stream transmission bandwidth adjustment may be performed, based on the media stream content, on the multiple media streams transmitted at the same transmission port. 1. A method for adjusting media stream transmission bandwidth , comprising:sending, by a media stream sending end, identifiers of at least two media streams to a media stream receiving end, wherein the at least two media streams are transmitted at a same transmission port, and the identifiers of the at least two media streams are each an identifier that is of each media stream in the at least two media streams and is described based on media stream content;acquiring, by the media stream sending end, a score given by the media stream receiving end to each media stream, wherein the score of each media stream is given by the media stream receiving end according to the identifier of each media stream; andperforming transmission bandwidth adjustment on at least one media stream according to a score of the at least one media stream when it is detected that one of congestion occurs and congestion is resolved.2. The method according to claim 1 , wherein the media stream content based identifier comprises at least one of the following features of each media stream: media capture content claim 1 , image composed claim 1 , capture content switching claim 1 , a rule for determining capture content ...

FAUCET-INTEGRATED CARBONATION SYSTEMS AND METHODS

Systems and methods are disclosed for providing carbonated water through a typical kitchen faucet. The faucet-integrated carbonation system can include a carbonated water reservoir coupled to a residential or commercial cold water supply line as well as a COtank, all of which can be mounted under a kitchen countertop or the like. The water held in the reservoir can be carbonated using the COwhen a user activates a COactivation mechanism. The system can further include a carbonated water on/off valve for dispensing carbonated water from the carbonated water reservoir via a waterway with an outlet disposed at the end of the faucet. 1. A faucet for dispensing carbonated water , comprising:a mixing valve coupled to a body of the faucet and fluidly coupled to at least one water supply line;a carbonated water valve coupled to the body of the faucet and fluidly coupled to a carbonated water waterway, the carbonated water valve comprising at least a portion of a carbon dioxide activation mechanism; anda dispensing waterway fluidly coupled to the carbonated water valve and configured to dispense carbonated water at an outlet of the faucet.2. The faucet of claim 1 , wherein the carbonated water valve is an ON/OFF valve comprising:an ON position in which the carbonated water waterway is fluidly coupled to the dispensing waterway;an OFF position in which the carbonated water waterway is disconnected from the dispensing waterway; anda carbon dioxide charge position in which tension on a cable coupled to the carbonated water valve opens a carbon dioxide tank valve.3. The faucet of claim 1 , further comprising:a pressure relief line fluidly coupled to the dispensing waterway at a point downstream of the carbonated water valve; anda pressure relief valve fluidly coupled to the pressure relief line, wherein the pressure relief valve is configured to permit one of liquid and gas to flow towards the dispensing waterway when a prevailing pressure upstream of the pressure relief valve ...

PTD-SMAD7 THERAPEUTICS

The present technology provides methods and compositions for the treatment of inflammatory and/or tissue damage conditions. In particular, the use of Smad7 compositions delivered locally or systemically to a site of inflammation and/or tissue damage is described. Other specific embodiments concern treatment or prevention of side effects caused by radiation and/or chemotherapy, including but not limited to oral and gastric mucositis. Also provided are codon-optimized nucleic acids encoding for Smad7 fusion proteins. 112.-. (canceled)13. A nucleic acid molecule comprising a codon-optimized cDNA nucleotide sequence comprising nucleotides encoding amino acids 204-258 of the human Smad7 protein.14. The nucleic acid molecule of claim 13 , wherein the nucleotide sequence further comprises a nucleotide sequence encoding a protein transduction domain.15. The nucleic acid molecule of claim 14 , wherein the protein transduction domain is Tat.1619.-. (canceled)20. The nucleic acid of claim 13 , wherein the nucleic acid molecule encodes a polypeptide having one or more biological activity selected from the group consisting of promoting healing in oral mucositis claim 13 , promoting wound healing claim 13 , reducing scarring claim 13 , reducing fibrosis claim 13 , and treating auto-immune disease.21. A pharmaceutical composition comprising the nucleic acid molecule of claim 13 , and one or more pharmaceutically acceptable excipients.2230.-. (canceled)31. A protein molecule comprising a human Smad7 protein having amino acids 204-258 of the human Smad7 protein.32. (canceled)33. The protein molecule of claim 31 , wherein the protein molecule has one or more biological activity selected from the group consisting of promoting healing in oral mucositis claim 31 , promoting wound healing claim 31 , reducing scarring claim 31 , reducing fibrosis claim 31 , and treating auto-immune disease.34. The protein molecule of claim 31 , wherein the amino acid sequence further comprises a protein ...

Method and device for identifying a user interest, and computer-readable storage medium

Disclosed is a method for identifying a user interest, including: obtaining training samples and test samples, the training samples being obtained by manually labeling after the corresponding topic models have been trained based on text data; extracting characteristics of the training samples and of the test samples, and computing optimal model parameters of a logistic regression model by an iterative algorithm based on the characteristics of the training samples; evaluating the logistic regression model based on the characteristics of the test samples and an area AUC under an ROC curve to train and obtain a first theme classifier; determining a theme to which the text data belongs using the first theme classifier, computing a score of the theme to which the text data belongs based on the logistic regression model, and computing a confidence score of the user being interested in the theme according to a second preset algorithm. Further disclosed are a device for identifying a user interest and a computer-readable storage medium.

Method and System for Authenticating Genuine Products for Online Shopping

A method of authenticating genuine products in an online shopping platform, including the steps of receiving an online shopping order from a buyer through the online shopping platform, the order having information about a targeted product and a designated store; purchasing the targeted product at the designated store by a buying agent; putting a unique and non-replaceable identification item on the targeted product when the purchase transaction is completed; videotaping selection of the targeted product by the buying agent, the purchasing of the targeted product at the designated store, and putting the unique and non-replaceable identification item on the targeted product; and making the video captured accessible to the buyer of the targeted product. 1. A method of authenticating genuine products in an online shopping platform , comprising the steps of:(a) receiving an online shopping order from a buyer through said online shopping platform, said order having information about a targeted product and a designated store;(b) purchasing said targeted product at said designated store by a buying agent;(c) putting a unique and non-replaceable identification item on said targeted product when said purchase transaction is completed;(d) videotaping at least one of the steps of selecting said targeted product by said buying agent, said purchasing of said targeted product at said designated store, and putting said unique and non-replaceable identification item on said targeted product; and(e) making said video captured in said step (d) accessible to said buyer of said targeted product.2. The method claim 1 , as recited in claim 1 , wherein said step (b) comprises the steps of:physically visiting said designated store by a buying agent at a predetermined time;selecting a targeted product from said designated store; andcompleting a purchase transaction for said targeted product at said designated store.3. The method claim 1 , as recited in claim 1 , wherein said step (b) ...

Electronic device and picture processing method

Embodiments of this application provide an electronic device and a picture processing method. The electronic device includes a rear cover, a front-facing camera, a rear-facing camera, and a light reflective apparatus. The light reflective apparatus may be switched between a usage state and an idle state. The picture processing method includes: controlling the light reflective apparatus to switch from the idle state to the usage state, when an operation that a user enables the front-facing camera is detected, where the usage state of the light reflective apparatus indicates that the light reflective apparatus is located on an object-facing side of the rear-facing camera and is configured to reflect a picture in a direction in which the front-facing camera is located, so that the rear-facing camera captures the picture reflected by the light reflective apparatus; separately obtaining a picture captured by the front-facing camera and a picture captured by the rear-facing camera; processing the picture captured by the rear-facing camera; and fusing the picture captured by the front-facing camera and a picture obtained by processing the picture captured by the rear-facing camera. In this application, a field of view of a picture taken by the front-facing camera can be increased with relatively low costs.

DETERMINING FLUID LEAKAGE VOLUME IN PIPELINES

A method and an apparatus for determining leakage volume of fluid in transportation pipelines are provided. The method comprises: obtaining the negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; determining the pressure signal at the leakage location based on the negative pressure wave signals; determining the leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; and determining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period. The apparatus provided corresponds to the method described above. By using the method and apparatus described above, the leakage volume of the transportation pipelines can be obtained to help understand the leakage profile of the pipelines and thus reduce losses (FIG. ). 1. An apparatus for determining leakage volume of fluid in a transportation pipeline , the apparatus comprising:a signal-obtaining unit, configured to obtain negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline;a pressure-determining unit, configured to determine a pressure signal at leakage location according to the negative pressure wave signals;a rate-determining unit, configured to determine a leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; anda volume-determining unit, configured to determine the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period.2. The apparatus of claim 1 , wherein the at least two pressure sensors are arranged on the pipeline such that claim 1 , for each whole straight segment of the pipeline claim 1 , one or more pressure sensors of the at least two pressure sensors are arranged at least at each of a first end and a second send of the respective whole straight segment of the pipeline;wherein a first pressure sensor of the at least two ...

Computer Vision Methods And Systems To Recognize And Locate An Object Or Objects In One Or More Images

Embodiments of the present invention include systems and methods for identifying and locating an object in an image. In embodiments, an object in an image may be identified by segmenting a first image of an object into one or more superpixels; extracting local descriptors from the first image, each of the descriptors having an interest point with a location; correlating the local descriptors to the superpixels based on locations of the local descriptors and superpixels; determining a probability for an object label for each of a set of the superpixels; and assigning an object label to each of the set of the superpixels based on the probability and a smoothness factor that includes weighting in terms of one or more of spatial, colors, angular distances between superpixels. The superpixels of an image may be concatenated to predict an object label for the image and to determine the location of the image. 1. A computer-implemented method for identifying an object in an image , comprising:segmenting a first image of an object into one or more superpixels;extracting local descriptors from the first image, each of the descriptors having an interest point with a location;correlating the local descriptors to the superpixels based on locations of the local descriptors and superpixels;determining a probability for an object label for each of a set of the superpixels using the correlated local descriptors; andassigning an object label to each of the set of the superpixels based on the probability and a smoothness factor, the smoothness factor being weighted by an angular distance between superpixels.2. A computer-implemented method as recited in claim 1 , wherein the step of determining a probability for an object label for each of a set of the superpixels using the correlated local descriptors comprises:performing a first tree-based voting using the correlated local descriptors to determine probabilities for object label groups for each of a set of the superpixels, each of ...

METHOD AND APPARATUS FOR MAMMOGRAPHIC MULTI-VIEW MASS IDENTIFICATION

A method, applied to an apparatus for mammographic multi-view mass identification, includes receiving a main image, a first auxiliary image, and a second auxiliary image. The main image and the first auxiliary image are images of a breast of a person, and the second auxiliary image is an image of another breast of the person. The method further includes detecting the nipple location based on the main image and the first auxiliary image; generating a first probability map of the main image based on the main image, the first auxiliary image, and the nipple location; generating a second probability map of the main image based on the main image, the second auxiliary image, and the nipple location; and generating and outputting a fused probability map based on the first probability map and the second probability map.

Intelligent Weighted Blending for Ultrasound Image Stitching

Ultrasound images are stitched together by extracting target image regions within each ultrasound image, identifying interest points for the extracted target images and then identifying interest point correspondences between the interest points of all the extracted target image regions. The interest point correspondence is used to define a common, word coordinate for all extracted target images, and the extracted target images are warped onto the world coordinates. A distance weight, w gradient weight w and histogram weight w is then determined for each pixel of the warped, target images. The three weights are then combined and normalized across all the warped, target images. The combined, normalized weights are used in the blending and stitching of the warped, target images. 1. A method of stitching together a respective image region from each of a plurality of input images , comprising:detecting feature points in each image region, and identify candidate corresponding feature points among the image regions, reject incorrect correspondences among the candidate corresponding feature points to define corresponding features points;warping the corresponding feature points onto a defined world coordinates spanning the image regions; [{'b': '1', '(a) defining a first weight, i.e. w, as a “distance weight” wherein each pixel is assigned a distance weight dependent upon its proximity to an edge of its respective image region;'}, {'b': '2', '(b) defining a second weight, i.e. w, as a “gradient weight” wherein pixels having a higher gradient, i.e. difference in intensity value as compared to neighboring pixels, receiving a higher weight value;'}, {'b': '3', '(c) defining a third weight, i.e. w, as a “histogram weight” of the intensity of each pixel across all image regions,'}], 'For each of said image regions,'}{'b': 1', '2', '3', '1', '2', '3, 'stitching the respective image regions by a blending function applied to overlapping areas of the image regions, wherein in said ...

Ultrasound Image Object Boundary Localization by Intensity Histogram Classification Using Relationships Among Boundaries

Fatty tissue boundary depths and muscle tissue boundary depths are identified in an ultrasound image by first creating an average intensity histogram of the ultrasound image. The histogram has a plurality of peaks, but has the characteristic that one of its peaks corresponds to a fat boundary depth, and a second of its peaks corresponds to a muscle boundary depth. A first classifier based solely on the local-characteristics of individual peaks is used to identify a first fat tissue depth. A second classifier trained to find a muscle depth given a fat depth, receives the output from the first classifier and identifies an output muscle tissue depth relative to the first fat tissue depth. A third classifier trained to find a fat boundary depth given a muscle boundary depth, receives the output muscle tissue depth and outputs a second fat boundary depth. 1. A system for identifying a first tissue boundary and a second tissue boundary in a test ultrasound image , said second tissue being of a different tissue type than said first tissue , the system comprising:an input for receiving said test ultrasound image; (i) generate an intensity histogram from pixel intensities of said test ultrasound image, said intensity histogram having peak regions corresponding to regions of intensity peaks in said test ultrasound image,', '(ii) calculating a series of stand-alone features for each peak region of the intensity histogram, said stand-alone features being determined from local-peak characteristics of each peak region and lacking any relational correlations between the first and second tissue boundaries;, 'a data processing device configured to process said ultrasound image according to the following stepsa first classifier coupled to receive said stand-alone features, said first classifier being trained to identify said first tissue boundary using only said stand-alone features and omitting any relational information between boundaries of different tissue types, said first ...

Orientation-Aware Average Intensity Histogram to Indicate Object Boundary Depth in Ultrasound Images

Linear candidate lines at different angles are used to determine an average intensity for each pixel level of an ultrasound image. The resultant average intensities are collected into a histogram, and the histogram is used to determine the depth positions of tissue boundary lines within an ultrasound image. 1. A method of identifying candidate inter-tissue boundary lines in an ultrasound image , comprising:accessing an input ultrasound image, said input ultrasound image including rows and columns of pixels;identifying candidate boundary lines by:(a) dividing said input ultrasound image into discrete, sequential depth positions, each discrete depth position being defined by a fixed number of rows of pixels;(b) defining a plurality of horizontal band regions, each horizontal band region corresponding to a separate one of said discrete depth positions and fully encompassing its corresponding depth position, each horizontal band region spanning a plurality of sequential depth positions; (i) defining a plurality of potential boundary lines within the current horizontal band region that corresponds to the current depth position, each of the defined potential boundary lines traversing a common point within the current horizontal band at a different angle relative to the horizontal;', '(ii) defining a candidate band region corresponding to each potential boundary line following the trajectory of its corresponding boundary line and encompassing its corresponding boundary line;', '(iii) determining an intensity value for each potential boundary line based at least in part on the intensity of pixels within its corresponding candidate boundary region;', '(iv) recording the potential boundary line of highest intensity value as the candidate line for the current depth position;, '(c) progressing, one discrete depth position at a time, along said input ultrasound image, and at each, current, depth position executing the following steps(d) collecting the intensity values of ...

Detector Evolution With Multi-Order Contextual Co-Occurrence

Aspects of the present invention comprise generating and using Multi-Order Contextual co-Occurrence (MOCO) descriptors to implicitly model the high level context using detection responses from a baseline object detector. In embodiments, a 1 st -order context feature is computed as a set of randomized binary comparisons on a response map of the baseline object detector. The statistics of the 1 st -order binary context features are further calculated to exercise construct a higher-order co-occurrence descriptor, which, in embodiments, may be combined with other features such as the 0 th -order context features and/or the 1 st -order features to form the MOCO. In embodiments, combining the MOCO feature with the original image feature, the baseline object detector may be evolved to a stronger context aware detector.

Point Set Matching with Outlier Detection

Aspects of the present invention include point set matching systems and methods. In embodiments, a tree model is used to find candidate matching locations for a set of query points. In embodiments, a similitude transform is assumed, and the parameters are separately solved to reduce computation complexity. In embodiments, the dominant scaling (α) and rotation (R) parameters are obtained by identifying a maximum in an accumulator space. A translation (t) matrix is calculated in another 1D accumulator space. With the obtained similitude transform, outliers can be reliably detected. This two-stage approach reduces the complexity and calculation time of determining a similitude transform and increases the accuracy and ability to detect outliers. 1. A computer-implemented method for point set matching , the method comprising:for each point from a set of points, each point being associated with a location and a descriptor, inputting the point's descriptor into a tree model to obtain one or more candidate matching points;using at least some of the set of points and at least some of their candidate matching points to find dominant scaling and rotation values and an inlier point selected from at least some of the set of points; andobtaining a translation matrix using the dominant scaling and rotation values, the inlier point, and at least some of the set of points and at least some of their candidate matching points.2. The computer-implemented method of wherein the tree model is a vocabulary tree comprising a set of leaf nodes based upon descriptors and a reverse index comprising claim 1 , for each leaf node claim 1 , a listing of one or more candidate matching points associated with that leaf node claim 1 , each candidate matching point comprising a location and an identifier.3. The computer-implemented method of wherein the at least some of their candidate matching points claim 2 , in the step of using at least some of the set of points and at least some of their candidate ...

GUIDE ROBOT AND METHOD OF CALIBRATING MOVING REGION THEREOF, AND COMPUTER READABLE STORAGE MEDIUM

The disclosure discloses a method of calibrating a moving region of a guide robot, including: detecting and receiving a movement instruction, and sending the received movement instruction to a controller; determining region calibration parameters corresponding to the received movement instruction according to a predetermined mapping relation between the movement instruction and the region calibration parameters, wherein the region calibration parameters include a pending moving region of the guide robot, a light display parameter in the pending moving region, and a driving parameter corresponding to the pending moving region and the light display parameter; driving the light emitting module to carry out light display calibration in the pending moving region according to the determined region calibration parameters. The disclosure further provides the guide robot and a computer storage medium. The technical solution of the disclosure enables the guide robot to display a marked region to be passed. 1. A method of calibrating a moving region of a guide robot , wherein the guide robot comprises a signal receiving unit for receiving a movement instruction , a controller and a light emitting module ,the method comprising:a1. detecting and receiving the movement instruction, and sending the received movement instruction to the controller by the signal receiving unit;a2. determining region calibration parameters corresponding to the received movement instruction by the controller according to a predetermined mapping relation between the movement instruction and the region calibration parameters, wherein the region calibration parameters include a pending moving region of the guide robot, a light display parameter in the pending moving region, and a driving parameter corresponding to the pending moving region and the light display parameter;a3. driving the light emitting module to carry out light display calibration in the pending moving region by the controller according to ...

SPEECH RECOGNITION METHOD, APPARATUS, AND COMPUTER READABLE STORAGE MEDIUM

Disclosed are a speech recognition method, apparatus, computer device and storage medium. The method includes: performing a framing and an acoustic feature extraction of a speech-information-to-be-tested according to a default rule to obtain a frame-level speech feature sequence; dividing the frame-level speech feature sequence into n blocks sequentially; inputting all blocks into a preset bidirectional LSTM-RNN model parallelly to obtain an output result of the corresponding neuron in an output layer of the preset bidirectional LSTM-RNN model corresponding to the forward recognition result and backward recognition result of each block to obtain a speech recognition result of the speech-information-to-be-tested. The present application can improve the speech recognition effect significantly and reduce the time delay of the speech decoding effectively. 1. A speech recognition method , comprising:performing a framing and an acoustic feature extraction of a speech-information-to-be-tested according to a default rule to obtain a frame-level speech feature sequence;dividing the frame-level speech feature sequence into n blocks sequentially, wherein n is an integer greater than or equal to 2, and each block includes a master block, and each master block is coupled to a slave block, and both of the master block and the corresponding slave block include a plurality of frame speech feature information, and a last-frame speech feature information of the master block is disposed adjacent to a first-frame speech feature information of the slave block;inputting all blocks into a preset bidirectional LSTM-RNN model parallelly to compute a forward recognition result of a corresponding neuron in a hidden layer of the preset bidirectional LSTM-RNN model of the master block in each block, and a backward recognition result of a corresponding neuron in a hidden layer of the preset bidirectional LSTM-RNN model of each block; andobtaining an output result of the corresponding neuron in ...

METHOD AND DEVICE FOR PROCESSING QUESTION CLUSTERING IN AUTOMATIC QUESTION AND ANSWERING SYSTEM

The present invention provides a method and a device for processing question clustering in an automatic question and answering system. The method comprises: receiving a clustering request input by a writer; acquiring a question set to be clustered from a database of unanswered questions based on the clustering request; performing feature extraction on the question set to be clustered with a text feature extraction algorithm to output a question feature set; determining whether the question feature set meets a preset splitting condition; performing segmenting clustering on the question feature set with a segmenting clustering algorithm if the preset splitting condition is met to output at least two question feature subsets; updating the question feature subsets to a question feature set, determining whether the question feature set meets the preset splitting condition; and outputting the question feature set as a clustering class cluster if the preset splitting condition is not met. 1. A method for processing question clustering in an automatic question and answering system , wherein the method comprises:receiving a clustering request input by a writer;acquiring a question set to be clustered from a database of unanswered questions based on the clustering request, wherein the question set to be clustered comprises at least one question to be clustered;performing feature extraction on the question set to be clustered with a text feature extraction algorithm to output a question feature set, wherein the question feature set comprises at least one question feature;determining whether the question feature set meets a preset splitting condition;performing segmenting clustering on the question feature set with a segmenting clustering algorithm if the preset splitting condition is met, to output at least two question feature subsets; updating the question feature subsets to a question feature set, and determining whether the question feature set meets the preset splitting ...

SYSTEM AND METHOD OF CONTROLLING OBSTACLE AVOIDANCE OF ROBOT, ROBOT AND STORAGE MEDIUM

A system and method of controlling obstacle avoidance of a robot. The method includes acquiring current positioning data of the robot, and determining whether an obstacle, spaced from a current position at a distance shorter than a preset distance, exists in a path from the current position to a target position or not according to the current positioning data and position data of all obstacles in a predetermined moving region; if the obstacle exists, calculating the shortest distance between the robot and the obstacle according to the acquired positioning data, a predetermined 3D model of the robot and a predetermined 3D model of the obstacle; calculating a due movement direction of the current robot according to the acquired positioning data, the calculated shortest distance and the 3D model of the obstacle, and controlling a movement posture of the robot according to the calculated movement direction to avoid the obstacles. 1. A system of controlling obstacle avoidance of a robot , comprising:a determination module for acquiring a current positioning data of the robot in real time or regularly, and determining whether an obstacle spaced from a current position at a distance shorter than a preset distance, exists in a path from the current position to a target position or not according to the current positioning data and position data of all obstacles in a predetermined moving region;a calculation module for calculating a shortest distance between the robot and the obstacle according to the current positioning data, a predetermined 3D model of the robot and a predetermined 3D model of the obstacle, if the obstacle is spaced from the current position at the distance shorter than the preset distance;a control module for calculating a due movement direction of the robot according to the current positioning data, the shortest distance and the 3D model of the obstacle, and controlling a movement posture of the robot according to the due movement direction to avoid the ...

VIDEO COMPRESSED SENSING RECONSTRUCTION METHOD, SYSTEM, ELECTRONIC DEVICE, AND STORAGE MEDIUM

The present disclosure provides a video compressed sensing reconstruction method, including: step B, after receiving to-be-reconstructed compressed video frames, extracting frame fragments of the compressed video frames according to a predetermined extraction rule; step C, inputting the frame fragments into an input layer of a pre-trained video frame reconstruction model, performing feature abstraction to the frame fragments through multiple hidden layers of the video frame reconstruction model, and building a nonlinear mapping between each frame fragment and a corresponding frame fragment block; and step D, reconstructing the input frame fragments to frame fragment blocks by the hidden layers according to the nonlinear mapping, and outputting the frame fragment blocks by an output layer of the video frame reconstruction model, and generating a reconstructed video based on the reconstructed frame fragment blocks. The present disclosure can render and reconstruct video frames quickly with a high quality. 1. A video compressed sensing reconstruction method , comprising:step B, after receiving to-be-reconstructed compressed video frames, extracting frame fragments of the compressed video frames according to a predetermined extraction rule;step C, inputting the frame fragments into an input layer of a pre-trained video frame reconstruction model, performing feature abstraction to the frame fragments through multiple hidden layers of the video frame reconstruction model, and building a nonlinear mapping between each frame fragment and a corresponding frame fragment block; andstep D, reconstructing the input frame fragments to frame fragment blocks by the hidden layers according to the nonlinear mapping, and outputting the frame fragment blocks by an output layer of the video frame reconstruction model, and generating a reconstructed video based on the reconstructed frame fragment blocks.2. The video compressed sensing reconstruction method of claim 1 , further comprising ...

Faucet-Integrated Touch-Free Soap Dispensing Systems

A faucet-integrated touch-free soap dispensing system includes a soap dispenser and a proximity sensor at least partially integrated with a faucet. A dispensing unit that includes a soap reservoir and a pump can be mounted below the deck that supports the faucet. 1. A faucet-integrated soap dispensing system comprising: a faucet body', 'a soap dispensing outlet; and', 'a spout for discharging water from the faucet; and, 'a faucet, comprising a soap reservoir;', 'a soap tube fluidly coupled between the soap reservoir and the soap dispensing outlet; and', 'a pump for pumping soap from the soap reservoir out of the soap dispensing outlet via the soap tube., 'a dispensing unit fluidly coupled to the faucet, the dispensing unit comprising2. The system of claim 1 , further comprising:a proximity sensor communicatively coupled to a controller of the dispensing unit.3. The system of claim 2 , wherein the proximity sensor is configured to:detect the presence of an object within a predetermined distance; andprovide a signal to the controller instructing the pump to pump soap through the soap dispensing outlet.4. The system of claim 2 , wherein the proximity sensor is located at least one of in and on an outer surface of the faucet body.5. The system of claim 2 , further comprising:a power source for providing electrical power to at least one of the dispensing unit, the proximity sensor, and the pump.6. The system of claim 2 , further comprising:an on/off switch communicatively coupled to the dispensing unit.7. The system of claim 6 , wherein the on/off switch is configured to claim 6 , when actuated claim 6 , send a signal to the dispensing unit to one of:toggle on and off power to the proximity sensor; andtoggle on and off power to the controller.8. A faucet-integrated soap dispensing system claim 6 , comprising:a faucet body; and a proximity sensor;', 'a dispensing unit communicatively coupled to the proximity sensor; and', 'a soap dispensing outlet fluidly coupled to the ...

Availability level-based service management

Embodiments of the present disclosure relate to availability level-based service management. In an embodiment, a computer-implemented method is disclosed. According to the method, it is detected initiation of a request from a first microservice to a second microservice. The first and second microservices are comprised in a plurality of microservices of an application. The request comprises an expected availability level for the application. In response to a current availability level of the application being higher than or equal to the expected availability level and in response to determining that the execution of the second microservice is unavailable, the request is caused to be routed to a simulated microservice of the second microservice. The simulated microservice is configured to return to the first microservice a dummy response to the request. In other embodiments, a system and a computer program product are disclosed.

MEMORY CONTROL DEVICE FOR ESTIMATING TIME INTERVAL AND METHOD THEREOF

A memory control device includes a memory and a controller. The memory includes a plurality of memory blocks. The controller is coupled to the memory and configured to select a first memory block from the memory blocks and program data into the first memory block. When the memory control device is deactivated and re-activated, the controller is further configured to read a voltage distribution of the first memory block to determine a deactivation interval, and determine a reference time according to the deactivation interval and an initial time, and the voltage distribution of the first memory block correspond to the data. 1. A memory control device , comprising:a memory comprising a plurality of memory blocks; anda controller coupled to the memory and configured to select a first memory block from the memory blocks and program data into cells of the first memory block to obtain a first voltage distribution across cells of the first memory block, thereby generating a first voltage value representative of the first voltage distribution, wherein the controller is configured to obtain a second voltage distribution across the cells of the first memory block after a time interval to thereby generate a second voltage value representative of the second voltage distribution, and the controller is configured to estimate the time interval based on a difference between the first and the second voltage values to generate an estimated time interval.2. The memory control device of claim 1 , wherein the controller is further configured to determine whether to erase the first memory block and to program the data into the cells of the first memory block according to the estimated time interval and a time threshold value.3. The memory control device of claim 1 , wherein the memory control device is deactivated and re-activated in the time interval.4. The memory control device of claim 1 , wherein the controller is configured to determine whether to perform a maintain operation on the ...

Method of training random forest model, electronic device and storage medium

A method of training a random forest model, an electronic device and a storage medium. The method of training the random forest model includes analyzing, by a system of controlling model training, whether model training conditions are met or not; if the model training conditions are met, determining whether reconstructive training needs to be carried out on the random forest model or not; if the reconstructive training needs to be carried out on the random forest model, carrying out the reconstructive training on the random forest model by using sample data; if the reconstructive training does not need to be carried out on the random forest model, carrying out corrective training on the random forest model by using the sample data.

Sparse Coding Based Superpixel Representation Using Hierarchical Codebook Constructing And Indexing

Embodiments of the present invention include systems and methods for identifying an object in an image. In embodiments, object identification includes using smooth encoding from a tree structure to generate a feature from a descriptor. In embodiments, the smooth encoding may be performed by, having identifying a leaf node for a descriptor, moving up the tree voting structure a number of levels from the identified leaf node to a branch node to identify leaf nodes dependent from the branch node; and then, by determining a sparse code under a condition that a distance between the descriptor and centroids of the leaf nodes dependent from the branch node weighted by the sparse code is minimized, wherein each element of the sparse code representing a weight corresponding to leaf nodes.

MEMORY CONTROL DEVICE, CONTROL METHOD OF FLASH MEMORY, AND METHOD FOR GENERATING SECURITY FEATURE OF FLASH MEMORY

A method for generating a security feature of a flash memory includes determining a memory block from a plurality of memory blocks in the flash memory; erasing data of the determined memory block of the flash memory; providing a predetermined voltage to the determined memory block to obtain a plurality of corresponding threshold voltages of a plurality of cells in the determined memory block, wherein each of the corresponding threshold voltages corresponds to a characteristic of each cell in the determined memory block; and establishing a security feature based on the plurality of corresponding threshold voltages. 1. A method for generating a security feature of a flash memory , comprising:determining a memory block from a plurality of memory blocks in the flash memory;erasing data of the determined memory block of the flash memory;providing a predetermined voltage to the determined memory block to obtain a plurality of corresponding threshold voltages of a plurality of cells in the determined memory block, wherein each of the corresponding threshold voltages corresponds to a characteristic of each cell in the determined memory block; andestablishing a security feature based on the plurality of corresponding threshold voltages of the cells.2. The method according to claim 1 , wherein the step of erasing data of the determined memory block comprises:erasing data in the determined memory block of the flash memory;writing a predetermined data to the determined memory block; anderasing the predetermined data in the written memory block.31. The method according to claim 1 , wherein the predetermined data is zero.41. The method according to claim 1 , wherein the step of providing the predetermined voltage to the memory block is different from a step of writing data to the memory block.51. The method according to claim 1 , wherein the security feature is produced according to at least one of at least part of the plurality of corresponding threshold voltages of the ...

RANDOM NUMBER GENERATOR, ENCRYPTION/DECRYPTION SECRET KEY GENERATOR AND METHOD BASED ON CHARACTERISTICS OF MEMORY CELLS

A method for generating a random number, applied in a random number generator coupled to a flash memory is disclosed. the method comprises: selecting a plurality of cells from the flash memory; initializing the selecting cells of the flash memory; programming the selecting cells to obtain a plurality of first potential values of the selecting cells; re-initializing the selecting cells of the flash memory; re-programming the selecting cells to obtain a plurality of second potential values of the selecting cells; and processing the first potential values and the second potential values according to a predetermined algorithm to generating the random number. 1. A method for generating a random number , applied in a random number generator coupled to a flash memory , the method comprising:selecting a plurality of cells from the flash memory;initializing the selecting cells of the flash memory;programming the selecting cells to obtain a plurality of first potential values of the selecting cells;re-initializing the selecting cells of the flash memory;re-programming the selecting cells to obtain a plurality of second potential values of the selecting cells; andprocessing the first potential values and the second potential values according to a predetermined algorithm to generating the random number;wherein at least one of the first and the second potential values is different, and each of the first and the second potential values corresponds to a characteristic of each selected cell in the flash memory.2. The method of claim 1 , wherein a complexity of the random number is enhanced by the predetermined algorithm.3. The method of claim 1 , further comprising:obtaining an encryption/decryption key according to the random number.4. The method of claim 1 , wherein the step of processing the first potential values and the second potential values according to the predetermined algorithm comprises:subtracting the first potential values from the second potential values to obtain a ...

ELECTRONIC DEVICE ENCLOSURE

An electronic device enclosure includes a chassis, a bracket, a shaft and a supporting member. The bracket is rotatably connected to the chassis through the shaft. The supporting member is sheathed with the shaft. Two opposite ends of the supporting member are respectively fixed to the chassis and the bracket. When the bracket rotates in a first direction relative to the chassis, the supporting member is elastically deformable to support the bracket preventing the bracket from rotating towards a second direction relative to the chassis. And the first direction is opposite to the second direction. 1. An electronic device enclosure comprising:a chassis;a bracket connected to the chassis;a shaft configured to rotatably connect the chassis to the bracket; anda supporting member sheathed with the shaft and having opposite ends of the supporting member are respectively fixed to the chassis and the bracket;wherein when the bracket is rotated relative to the chassis in a first direction, and the supporting member is elastically deformed to support the bracket to prevent the bracket from rotating towards a second direction opposite to the first direction.2. The electronic device enclosure of claim 1 , wherein the supporting member is an elastic element claim 1 , and the elastic element is a spring.3. The electronic device enclosure of claim 2 , wherein the chassis defines a first gap claim 2 , the bracket defines a second gap claim 2 , and opposite ends of the spring are engaged in the first gap and the second gap.4. The electronic device enclosure of claim 1 , further comprising a rotary member and a mounting member fixed to the bracket claim 1 , wherein the mounting member defines a groove claim 1 , and the rotary member is received in the groove.5. The electronic device enclosure of claim 4 , wherein the groove comprises a plurality of protrusions claim 4 , a notch is formed by the two adjacent protrusions claim 4 , the rotary member is received in the notch and is ...

DETERMINING FLUID LEAKAGE VOLUME IN PIPELINES

A method and an apparatus for determining leakage volume of fluid in transportation pipelines are provided. The method comprises: obtaining the negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; determining the pressure signal at the leakage location based on the negative pressure wave signals; determining the leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; and determining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period. The apparatus provided corresponds to the method described above. By using the method and apparatus described above, the leakage volume of the transportation pipelines can be obtained to help understand the leakage profile of the pipelines and thus reduce losses (FIG. ). 1. A method for determining leakage volume of fluid in a transportation pipeline , the method comprising:obtaining negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline;determining a pressure signal at a leakage location based on the negative pressure wave signals;determining a leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; anddetermining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period.2. The method of claim 1 , wherein the at least two pressure sensors are arranged on the pipeline such that claim 1 , for each whole straight segment of the pipeline claim 1 , one or more pressure sensors of the at least two pressure sensors are arranged at least at each of a first end and a second send of the respective whole straight segment of the pipeline;wherein a first pressure sensor of the at least two pressure sensors is arranged on a valve at an inlet at the first end of the respective whole straight segment of the pipeline and a second pressure sensor of the at ...

CAR DAMAGE PICTURE ANGLE CORRECTION METHOD, ELECTRONIC DEVICE, AND READABLE STORAGE MEDIUM

Disclosed are a car damage picture angle correction method, an electronic device, and a readable storage medium. The method includes: after receiving a car damage picture to be classified and identified, identifying a rotation category corresponding to the received car damage picture by using a pre-trained picture rotation category identification model; determining a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters, the rotation control parameter including a rotation angle and a rotation direction; and rotating the received car damage picture according to the determined rotation control parameter, so as to generate an angle-normal car damage picture. The disclosure can perform car damage picture angle correction more comprehensively and more effectively with no need to artificially perform angle identification on a car damage picture and to manually rotate the picture, thereby achieving a higher efficiency and accuracy. 1. A car damage picture angle correction method , comprising the following steps:A. after a car damage picture angle correction system receives a car damage picture to be classified and identified, identifying a rotation category corresponding to the received car damage picture by using a pre-trained picture rotation category identification model;B. determining a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters, the rotation control parameter comprising a rotation angle and a rotation direction; andC. rotating the received car damage picture according to the determined rotation control parameter, so as to generate an angle-normal car damage picture.2. The car damage picture angle correction method of claim 1 , wherein the picture rotation category identification model is a deep ...

ELECTRONIC DEVICE, METHOD AND SYSTEM OF IDENTITY VERIFICATION AND COMPUTER READABLE STORAGE MEDIUM

An electronic device for identity verification includes a memory and a processor; the system of identity verification is stored in the memory, and executed by the processor to implement: after receiving current voice data of a target user, carrying out framing processing on the current voice data according to preset framing parameters to obtain multiple voice frames; extracting preset types of acoustic features in all the voice frames by using a predetermined filter, and generating multiple observed feature units corresponding to the current voice data according to the extracted acoustic features; pairwise coupling all the observed feature units with pre-stored observed feature units respectively to obtain multiple groups of coupled observed feature units; inputting the multiple groups of coupled observed feature units into a preset type of identity verification model generated by pre-training to carry out the identity verification on the target user. 1. An electronic device , comprising a memory and a processor connected with the memory , wherein the memory stores a system of identity verification which may be operated in the processor , and the system of identity verification is executed by the processor to implement the following steps:{'b': '1', 'S, after current voice data of a target user to be subjected to identity verification are received, carrying out framing processing on the current voice data according to preset framing parameters to obtain multiple voice frames;'}{'b': '2', 'S, extracting preset types of acoustic features in all the voice frames by using a predetermined filter, and generating multiple observed feature units corresponding to the current voice data according to the extracted acoustic features;'}{'b': '3', 'S, pairwise coupling all the observed feature units with pre-stored observed feature units respectively to obtain multiple groups of coupled observed feature units;'}{'b': '4', 'S, inputting the multiple groups of coupled observed ...

USER KEYWORD EXTRACTION DEVICE AND METHOD, AND COMPUTER-READABLE STORAGE MEDIUM

A user keyword extraction method based on a social network includes: acquiring blog posts having been posted by a target user within a preset time interval, and performing word segmentation to acquire a word list of each blog post; inputting the acquired word list corresponding to each blog post into a Word2Vec model for training to acquire a word vector model; extracting keywords corresponding to the blog posts based on a keyword extraction algorithm to form a candidate keyword set of the target user, calculating a word vector of each keyword in the candidate keyword set based on the word vector model, and constructing a semantic similarity graph; and running a Pagerank algorithm on the semantic similarity graph to score the keywords so as to acquire interest keywords of the user. This application also provides a user keyword extraction device based on a social network, and a computer-readable storage medium. 1. A user keyword extraction device based on a social network , comprising a memory and a processor , wherein a user keyword extraction program runnable on the processor is stored on the memory , and when executed by the processor , the user keyword extraction program implements the following steps:acquiring blog posts having been posted by a target user within a preset time interval, performing word segmentation on the acquired blog posts by using a preset word segmentation tool, and acquiring a word list corresponding to each blog post respectively;inputting the acquired word list corresponding to each blog post into a Word2Vec model for training to acquire a word vector model;extracting, from the word list of one blog post, keywords corresponding to this blog post based on a keyword extraction algorithm, forming a candidate keyword set of the target user by the accumulated keywords corresponding to the blog posts having been posted by the target user within the preset time interval, and calculating a word vector of each keyword in the candidate keyword set ...

PIXEL COLLECTION CIRCUIT, DYNAMIC VISION SENSOR, AND IMAGE CAPTURE DEVICE

This application provides a pixel collection circuit comprising an optical-to-electrical converter circuit configured to convert a collected optical signal into an analog signal; an analog-to-digital converter circuit configured to: receive the analog signal from the optical-to- electrical converter circuit; and perform analog-to-digital conversion on the analog signal to obtain a digital signal; a differential circuit configured to: receive the digital signal from the analog-to-digital converter circuit; and obtain a difference signal between a digital signal of a previous triggering moment and the digital signal of a current triggering moment; the previous triggering moment and the current triggering moment are determined by at least a digital clock signal; a comparison circuit configured to receive the difference signal from the differential circuit, and output a pulse signal. A digital component is used to implement the pixel collection circuit in the dynamic vision sensor, so as to reduce noise, reduce interference, and facilitate debugging. 1. A pixel collection circuit , comprising:an optical-to-electrical converter circuit configured to convert a collected optical signal into an analog signal, and output the analog signal to an analog-to-digital converter circuit;the analog-to-digital converter circuit configured to receive the analog signal from the optical-to-electrical converter circuit and perform analog-to-digital conversion on the analog signal to obtain a digital signal, and output the digital signal to a differential circuit;the differential circuit configured to receive the digital signal from the analog-to-digital converter circuit, obtain a difference signal between a digital signal of a previous triggering moment and the digital signal of a current triggering moment, and output the difference signal to a comparison circuit, wherein the previous triggering moment and the current triggering moment are determined by at least a digital clock signal; ...

IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE

An image processing method and an image processing device are provided. The image processing method includes: determining a first width and a second width, where the second width is the width of a gap between display devices of target images on N screens, the first width is the width of a blind spot between source images corresponding to the N screens, N is an integer greater than 1, and the N screens are of a same size and are arranged side by side at a same height; and when the first width is different from the second width, adjusting the source images according to the determined first width and second width so as to obtain the target images, so that no mismatch exists in the stitched target images on the N screens. 1. An image processing method for providing video conferencing , comprising:determining a first width corresponding to width of one or more blind spots between N source images and determining a second width corresponding to width of one or more gaps between N target display devices, wherein N is an integer greater than 1 and the N target display devices have screens that are of a same size and are arranged side by side at a same height, and wherein the first width is different from the second width; andadjusting the source images according based on the determined first width and second width so as to obtain target images to be displayed on the N target display devices such that no mismatch exists in the target images displayed on the N target display devices.2. The method according to claim 1 , wherein the adjusting comprises:pruning and padding a source image so as to obtain a corresponding target image.3. The method according to claim 2 , wherein the pruning and padding comprises:calculating a part that needs to be pruned from the source image;determining, in a color array of the source image, a pixel area corresponding to the part that needs to be pruned;discarding pixel data in the pixel area;calculating a part that needs to be padded;determining, ...

METHOD FOR SELF-ALIGNING A THIN-FILM DEVICE ON A HOST SUBSTRATE

A method for self-aligning a thin-film device on a host substrate is provided. A predetermined location on a host substrate is treated with a hydrophobic lubricant to alter its interfacial energy. A needle is used to transfer a thin-film device, under water, to the location. Upon contact with the lubricant, the device adheres and self-aligns to the location to minimize the interfacial energy. 1. A method for self-aligning a thin-film device on a host substrate , the method comprising steps of:preparing a host substrate by depositing a first hydrophobic lubricant on at least one predetermined location on the host substrate;releasing a thin-film device under water from a carrier substrate, wherein the thin-film device is attached to the carrier substrate by a water-soluble polymer;picking up the thin-film device with a hydrophobic needle having a second hydrophobic lubricant at a tip of the hydrophobic needle;moving, while in a water environment, the hydrophobic needle with the thin-film device to the host substrate and contacting the thin-film device to the first hydrophobic lubricant on the predetermined location of the host substrate, the step of moving occurring with the thin-film device, the host substrate and the hydrophobic needle are under water;permitting the thin-film device to adhere and self-align with the predetermined location due to interfacial energy minimization; andevaporating the first hydrophobic lubricant.2. The method as recited in claim 1 , wherein the host substrate comprises silicon dioxide coated silicon.3. The method as recited in claim 1 , wherein the thin-film device is a photonic device.4. The method as recited in claim 3 , wherein the thin-film device comprises gallium Arsenic.5. The method as recited in claim 1 , wherein predetermined location comprises a gold surface that is coated with an aliphatic thiol.6. The method as recited in claim 1 , wherein the hydrophobic needle comprises a gold tip and a hydrophobic thiol layer on the gold ...

METHOD AND DEVICE FOR ACQUIRING SLANT VALUE OF SLANT IMAGE, TERMINAL AND STORAGE MEDIUM

A method, a device, a terminal and a storage medium for acquiring slant value of slant image are provided. The method for acquiring slant value of a slant image comprises: analyzing the slant image and acquiring coordinate information of a plurality of boundary lines of the slant image; acquiring first slant values of the boundary lines by analysing and calculating the coordinate information; acquiring a correction value; calculating difference values between the first slant values and the correction value respectively; determining the first slant value corresponding to the minimum difference value as the slant value of the slant image. The technical solution of the present disclosure can uniquely determine a slant value of slant image. 1. A method for acquiring slant value of a slant image , wherein the slant image is a rectangle; the method for acquiring slant value comprises:analyzing the slant image and acquiring coordinate information of a plurality of boundary lines of the slant image;acquiring first slant values of the boundary lines based on the coordinate information;acquiring a correction value;calculating difference values between the first slant values and the correction value respectively to acquire the minimum difference value;determining the first slant value corresponding to the minimum difference value as the slant value of the slant image.2. The method for acquiring slant value of a slant image of claim 1 , wherein the analyzing the slant image and acquiring coordinate information of a plurality of boundary lines of the slant image includes:performing binarization to the slant image to acquire a binary image;detecting the binary image based on Hough line segment detection algorithm to acquire the coordinate information of the plurality of boundary lines.3. The method for acquiring slant value of a slant image of claim 1 , wherein the slant image is an ID card photograph;the acquisition of correction value includes:analyzing the ID card photograph ...

ELECTRONIC DEVICE, METHOD FOR CONSTRUCTING SCORING MODEL OF RETAIL OUTLETS, SYSTEM, AND COMPUTER READABLE MEDIUM

The present disclosure provides an electronic device, a method for constructing a scoring model of retail outlets, a system and a computer readable medium. The method includes: crawling POI data of a predetermined map website by a crawler system; acquiring surrounding POI data based on a location of each retail outlet, and constructing POI relevant outlet features based on the surrounding POI data; acquiring surrounding LBS information based on the location of each retail outlet, and constructing client relevant features based on the surrounding LBS information; scoring each retail outlet based on a number of new clients increased in a predetermined time period and a revenue index; and constructing the scoring model by performing supervised learning of a preset classification algorithm model using the POI relevant outlet feature, the client relevant feature, and a score of the retail outlet. 1. An electronic device comprising:a processor;a storage device connected with the processor; [{'b': '1', 'S, crawling POI data of a predetermined map website by a crawler system;'}, {'b': '2', 'S, acquiring surrounding POI data of each retail outlet based on a location of each retail outlet, and constructing a POI relevant outlet feature based on the surrounding POI data;'}, {'b': '3', 'S, acquiring surrounding location based service (LBS) information of each retail outlet based on the location of each retail outlet, and constructing a client relevant feature of each retail outlet based on the surrounding LBS information of each retail outlet;'}, {'b': '4', 'S, scoring each retail outlet based on a number of new clients increased in a predetermined time period and a revenue index of each retail outlet; and'}, {'b': '5', 'S, constructing a scoring model of each retail outlet by performing supervised learning of a preset classification algorithm model using the POI relevant outlet feature, the client relevant feature, and a score of each retail outlet.'}], 'a system for ...

ADVERTISEMENT GENERATION METHOD, COMPUTER READABLE STORAGE MEDIUM AND SYSTEM

The disclosure relates to an advertisement generation method and system. The advertisement generation method includes: acquiring click data of the advertisements subjected to advertisement exposure triggered by each user from various predetermined data source servers, and extracting picture style features of advertisement background pictures in the advertisement click data; during recommending of advertisements to predetermined users, analyzing the advertisement click data of the various users according to predetermined picture style features and a predetermined first analysis rule to obtain picture style features of advertisement pictures to be recommended corresponding to the various users; and generating recommended advertisements according to the obtained picture style features corresponding to the various users to recommend the recommended advertisements to the corresponding users. The disclosure can objectively or adaptively integrate the picture style features of other advertisements to improve the acceptance of advertisement and improve the advertisement production efficiency. 1. An advertisement generation method , comprising:{'b': '1', 'S, acquiring click data of the advertisements subjected to advertisement exposure triggered by each user from various predetermined data source servers, and extracting picture style features of advertisement background pictures in the advertisement click data;'}{'b': '2', 'S, during recommendation of advertisements to predetermined users, analyzing the advertisement click data of the various users according to predetermined picture style features and a predetermined first analysis rule to obtain picture style features of advertisement pictures to be recommended corresponding to the various users;'}{'b': '3', 'S, generating recommended advertisements according to the obtained picture style features corresponding to the various users to recommend the recommended advertisements to the corresponding users.'}2. The advertisement ...

TOOL-LESS MOUNTING APPARATUS FOR HARD DISK DRIVE AND STORAGE DEVICE USING THE SAME

A hand-mountable mounting apparatus for hard disk drives (HDD) and storage devices using HDD includes a tray defining an installation space for the hard disk drive and a locking unit. The tray includes a hook. A bracket of the locking unit includes defines a first locking slot corresponding to the hook and a sliding plate defining a second locking slot corresponding to the hook and the first locking slot. The sliding plate is slidable between an unlock position, where the hook is free to withdraw, and a lock position, where the first locking slot and the second locking slot are not aligned and the hook is latched by the sliding plate. 1. A tool-less mounting apparatus for hard disk drive comprising:a tray defining an installation space for the hard disk drive and comprising a hook; and a supporting bracket defining a first locking slot corresponding to the hook; and', 'a sliding plate slidably connected to a side of the supporting bracket and defining a second locking slot corresponding to the hook and the first locking slot;, 'a locking unit comprisingwherein the hook is coupled to the sliding plate by passing through the first locking slot and the second locking slot; the sliding plate is slidable between an unlocking position, where the first locking slot aligns with the second locking slot and the hook is free to pass through the first locking slot and the second locking slot, and a locking position, where the first locking slot and the second locking slot are not aligned and the hook is stopped by the sliding plate.2. The mounting apparatus of claim 1 , wherein the mounting apparatus further comprises a resilient member connected between the sliding plate and the supporting bracket;when the sliding plate is forced to slide to the unlocking position, the resilient member is elastically deformed; when the sliding plate is unforced, the resilient member drives the sliding plate to slide to the locking position under restoring force.3. The mounting apparatus of ...

PALLET

A pallet includes two bottom plates and three supporting members. A plane is defined by the two bottom plates. The three supporting members are secured to the two bottom plates. A first passageway is defined between every adjacent two supporting members and allows for a forklift fork to be in along a first direction that is substantially perpendicular to the plane. The first passageway further allows for the forklift fork to slide out of along a second direction that is substantially perpendicular to the first direction. 1. A pallet comprising:two bottom plates; a plane is defined by the two bottom plates;three supporting members secured to the two bottom plates and configured to support merchandise; and a first passageway is defined between every adjacent two supporting members;wherein the first passageway allows for a forklift fork to extend therethrough along a first direction that is substantially perpendicular to the plane defined by the two bottom plates, and the first passageway further allows for the forklift fork to slide out of the first passageway, along a second direction that is substantially perpendicular to the first direction.2. The pallet of claim 1 , wherein each supporting member comprises two side panels and a plurality of top panels secured to the two side panels; and the two side panels are secured to the two bottom plates.3. The pallet of claim 2 , wherein each side panels is substantially perpendicular to the each bottom plate.4. The pallet of claim 2 , wherein each top panel is substantially perpendicular to each side panel and parallel to each bottom plate.5. The pallet of claim 2 , wherein the two side panels are substantially parallel each other.6. The pallet of claim 2 , wherein a receiving space is defined between adjacent two of the plurality of top panels for receiving an extending portion of the merchandise.7. The pallet of claim 2 , wherein a first cutout and a second cutout is defined in each side panel; the first cutout of each ...

Unbalanced sample data preprocessing method and device, and computer device

Provided is an unbalanced sample data preprocessing method, which includes: a data acquisition request is received and initial data is acquired according to the data acquisition request, and the initial data is classified according to a preset classification rule to obtain first-class sample sets and second-class sample sets; characteristics of K first sample points extracted are analyzed to obtain a new data characteristic of the first-class sample sets; a new data label of the first-class sample sets is generated according to a first label corresponding to the first-class sample sets; a ratio between the number of first-class sample sets and the number of second-class sample sets is calculated; and new data of the first-class sample sets is generated according to the new data characteristic and the new data label, and the amount of new data is adjusted according to the ratio to increase the number of first-class sample sets.

Component Based Correspondence Matching for Reconstructing Cables

In a stereoscopic pair of images, global homography at the image level is applied to feature points extracted from connected components (CC) to identify corresponding CC's and feature points, and to discard any CC's that do not have a corresponding pair in the stereoscopic pair of images. Local homography at the CC level is then applied to individual footprint areas of the previously identified paired CC to further clean feature point correspondence. Any CC or feature point or pixel within a paired CC footprint not satisfying local homography constraint is discarded. A correspondence is also extrapolated between unknown pixels within a paired CC footprint using a weighing mechanism and the unknown pixel's surrounding pixels that do have a known correspondence. This provides a dense correspondence of pixels, or feature points, which is then used to create a dense 3D point cloud of identified objects within a 3D space. 1. A method of identifying corresponding objects in first and second images of a stereoscopic pair of images , said method comprising the following steps:(a) determining a first set of connected components from said first image, and a second set of connected components from said second image;(b) determining a first set of feature descriptors from said first set of connected components and a second set of feature descriptors from said second set of connected components;(c) matching pairs of corresponding feature descriptors between the first and second sets of feature descriptors;(d) applying global homography to said first and second images to reject matched pairs of corresponding feature descriptors that do not satisfy global homography constraints;(e) for each pair of corresponding feature descriptors not rejected in step (d), applying local homography to the pair of corresponding feature descriptors in accordance to the pair's corresponding connected components, and rejecting any pair of corresponding feature descriptors that does not satisfy its ...

METHOD, DEVICE, AND APPARATUS FOR DETECTING DISEASE PROBABILITY, AND COMPUTER-READABLE STORAGE MEDIUM

The present disclosure discloses a method for detecting disease probability which includes: collecting each datum associated with a user, and performing feature processing to each collected datum; constructing a multi-dimensional data set according to each datum after being feature processed; performing random sampling on the multi-dimensional data set to divide into a test set and a training set; building a model based on the training set to obtain a regression decision tree; testing the regression decision tree according to the test set, to calculate the disease probability of the user. The present disclosure further discloses a device, an apparatus for detecting disease probability, and a computer-readable storage medium. 1. A method for detecting disease probability , comprising:collecting each datum associated with a user, and performing feature processing to each collected datum;constructing a multi-dimensional data set according to each datum after being feature processed;performing random sampling on the multi-dimensional data set to divide into a test set and a training set;building a model based on the training set to obtain a regression decision tree;testing the regression decision tree according to the test set, to calculate the disease probability of the user.2. The method of claim 1 , wherein the step of performing feature processing to each collected datum comprises:performing feature analysis on each collected datum to determine a feature type of each datum;when the datum is a missing value datum, performing mean imputation or multiple imputation to the missing value datum;when the datum is an outlier datum, screening the outlier datum, and screening out the datum whose outlier is less than a preset threshold, and treating the screened datum as the missing value datum.3. The method of claim 2 , wherein the mean imputation comprises: performing interpolation using an average value claim 2 , or performing interpolation using mode.4. The method of claim ...

METHOD AND TERMINAL FOR GENERATING A TEXT BASED ON SELF-ENCODING NEURAL NETWORK, AND MEDIUM

The present disclosure relates to the technical field of natural language understanding, and provides a method, a terminal and a medium for generating a text based on a self-encoding neural network. The method includes: obtaining a text word vector and a classification requirement of a statement to be input; reversely inputting the text word vector into a trained self-encoding neural network model to obtain a hidden feature of an intermediate hidden layer of the self-encoding neural network model; modifying the hidden feature according to a preset classification scale and the classification requirement; defining the modified hidden feature as the intermediate hidden layer of the self-encoding neural network model, and reversely generating a word vector corresponding to an input layer of the self-encoding neural network model by the intermediate hidden layer; and generating the corresponding text, according to the generated word vector. 1. A method for generating a text based on a self-encoding neural network , comprising:obtaining a text word vector and a classification requirement of a statement to be input;reversely inputting the text word vector into a trained self-encoding neural network model to obtain a hidden feature of an intermediate hidden layer of the self-encoding neural network model;modifying the hidden feature according to a preset classification scale and the classification requirement;defining the modified hidden feature as the intermediate hidden layer of the self-encoding neural network model, and reversely generating a word vector corresponding to an input layer of the self-encoding neural network model by the intermediate hidden layer; andgenerating the corresponding text, according to the generated word vector.2. The method according to claim 1 ,wherein before the operation of “obtaining a text word vector and a classification requirement of a statement to be input”, comprises:obtaining labeled multi-category training samples, and generating ...

METHOD AND DEVICE FOR VEHICLE IDENTIFICATION

The present application provides a method and device for vehicle identification, the method comprises: obtaining a first vehicle image and a second vehicle image, wherein the first vehicle image comprises a first vehicle, and the second vehicle image comprises a second vehicle; extracting a first color feature and a first vehicle type feature of the first vehicle, and extracting a second color feature and a second vehicle type feature of the second vehicle based on a convolutional neural network model; combining the first color feature and the first vehicle type feature into a first vehicle feature, and combining the second color feature and the second vehicle type feature into a second vehicle feature; calculating a similarity parameter between the first vehicle feature and the second vehicle feature; and determining whether the first vehicle is the same one as the second vehicle according to the similarity parameter. 1. A vehicle identification method , comprising:obtaining a first vehicle image and a second vehicle image, wherein the first vehicle image comprises a first vehicle, and the second vehicle image comprises a second vehicle;extracting a first color feature and a first vehicle type feature of the first vehicle, and extracting a second color feature and a second vehicle type feature of the second vehicle based on a convolutional neural network model;combining the first color feature and the first vehicle type feature into a first vehicle feature, and combining the second color feature and the second vehicle type feature into a second vehicle feature;calculating a similarity parameter between the first vehicle feature and the second vehicle feature; anddetermining whether the first vehicle is the same one as the second vehicle according to the similarity parameter.2. The method according to claim 1 , wherein the step of extracting a first color feature and a first vehicle type feature of the first vehicle and a second color feature and a second vehicle ...

CHASSIS

A chassis includes a shell, two sliding rails, a slider and a bracket. The two sliding rails are fixed to the shell. The slider is slidably fixed to one of the two sliding rails. The slider includes a positioning post. The bracket defines a groove. The positioning post is located in the groove and moves from a first position to a second position along the groove. When the positioning post is located at the first position, the bracket is locked with the shell. When the positioning post is located at the second position, the bracket is unlocked from the shell and can move away relative to the shell. 1. A chassis comprising:a shell;two sliding rails secured to the shell;a slider slidably secured to one of the two sliding rails, and the slider comprising a positioning post; anda bracket defining a groove;wherein the positioning post is configured to move from a first position to a second position along the groove; when the positioning post is located at the first position, the bracket is engaged with the shell; and when the positioning post is located at the second position, the bracket is unlocked with the shell and is configured to move away from the shell.2. The chassis of claim 1 , wherein when the positioning post moving from the first position to the second position claim 1 , the positioning post moves along a first direction claim 1 , the bracket moves along a second direction relative to the shell claim 1 , and the first direction is substantially perpendicular to the second direction.3. The chassis of claim 2 , wherein the shell comprises a bottom plate claim 2 , and the second direction is parallel to the bottom plate.4. The chassis of claim 1 , wherein the groove defines a slot and a positioning groove claim 1 , the slot communicates with the positioning groove claim 1 , and an extending direction of the slot is substantially perpendicular to an extending direction of the positioning groove.5. The chassis of claim 4 , wherein the bracket comprises cover claim ...

DETERMINING FLUID LEAKAGE VOLUME IN PIPELINES

A method and an apparatus for determining leakage volume of fluid in transportation pipelines are provided. The method comprises: obtaining the negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline; determining the pressure signal at the leakage location based on the negative pressure wave signals; determining the leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; and determining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period. The apparatus provided corresponds to the method described above. By using the method and apparatus described above, the leakage volume of the transportation pipelines can be obtained to help understand the leakage profile of the pipelines and thus reduce losses. 1. A method for determining leakage volume of fluid in a transportation pipeline , the method comprising:obtaining negative pressure wave signals detected by at least two pressure sensors arranged on the pipeline;determining a pressure signal at a leakage location based on the negative pressure wave signals;determining a leakage rate during a leakage period based on the pressure signal at the leakage location according to a leakage model; anddetermining the leakage volume of the fluid in the pipeline based on the leakage rate and the leakage period.2. The method according to claim 1 , wherein the at least two pressure sensors comprises the two pressure sensors closest to the leakage location.3. The method according to claim 1 , wherein obtaining the negative pressure wave signals further comprises processing the read negative pressure wave signals by a low pass filter.4. The method according to claim 1 , wherein determining the pressure signal at the leakage location comprises:determining the leakage location based on the negative pressure wave signals; anddetermining the pressure signal at the leakage location according to ...

METHODS AND COMPOSITIONS FOR TREATING CANCER AND INFLAMMATORY DISEASES

The invention provides a peptide construct comprising a cell penetrating peptide and an inhibitory peptide that interferes with the interaction between E1A and CtBP. The invention also provides related pharmaceutical composition comprising such a peptide construct. Also provided is a conjugate comprising such a peptide construct and a carrier molecule. The invention also provides related pharmaceutical compositions. Also provided are related methods of inhibiting cell proliferation in an individual and methods of treating cancer in by such pharmaceutical compositions. The present application also provides methods of treating an inflammatory disease and inhibiting inflammation in an individual comprising administering to the individual an effective amount of a therapeutic agent comprising an inhibitory peptide that interferes with the interaction between E1A and CtBP. 1. A peptide construct comprising a cell penetrating peptide and an inhibitory peptide that interferes with the interaction between E1A and CtBP.2. The peptide construct of claim 1 , wherein the peptide construct is a fusion peptide.3. The peptide construct of claim 1 , wherein the inhibitory peptide comprises PXDLS (SEQ ID NO:2).4. The peptide construct of claim 1 , wherein the inhibitory peptide comprises PXDLSXK (SEQ ID NO:6).5. The peptide construct of claim 4 , wherein the inhibitory peptide comprises SEQ ID NO:1.6. The peptide construct of claim 1 , wherein the binding affinity of the inhibitory peptide to CtBP is the same or higher than that of SEQ ID NO:1.7. The peptide construct of claim 1 , wherein the inhibitory peptide comprises no more than about 25 amino acids.8. (canceled)9. The peptide construct of claim 1 , wherein the peptide construct is modified for conjugation to a carrier molecule.10. The peptide construct of claim 1 , wherein the cell penetrating peptide is an amphipathic peptide or anionic peptide.11. The peptide construct of claim 1 , wherein the cell penetrating peptide is ...

METHOD AND SYSTEM OF DETECTING IMAGE TAMPERING, ELECTRONIC DEVICE AND STORAGE MEDIUM

A method and system of detecting image tampering, an electronic device and a storage medium. The method includes: A. carrying out block segmentation on a to-be-detected image to segment the to-be-detected image into a plurality of image small fragments, and extracting initial tampering detection features from all the image small fragments; B. encoding the extracted initial tampering detection features with a predetermined encoder to generate complicated tampering features, and determining a tampering detection result corresponding to the to-be-detected image according to the generated complicated tampering features, wherein the tampering detection result includes an image-tampered result and an image-not-tampered result. The disclosure realizes accurate detection for different types and formats of image tampering. 1. A method of detecting image tampering , comprising:step A, carrying out block segmentation on a to-be-detected image to segment the to-be-detected image into a plurality of image small fragments, and extracting initial tampering detection features from all the image small fragments;step B, encoding the extracted initial tampering detection features with a predetermined encoder to generate complicated tampering features, and determining a tampering detection result corresponding to the to-be-detected image according to the generated complicated tampering features, wherein the tampering detection result comprises an image-tampered result and an image-not-tampered result.2. The method of detecting image tampering of claim 1 , wherein the step A comprises:converting the to-be-detected image from a first color space into a second color space;carrying out the block segmentation on the to-be-detected image to segment the to-be-detected image into N*M image small fragments, wherein N and M are positive integers;applying a preset wavelet function decomposition to each second color space component of each image small fragment to obtain multiple corresponding ...

SIDE PLATE MOUNTING APPARATUS AND CASE USING THE SAME

A mounting apparatus for a side plate to enable the side plate to be mounted to a case includes a sliding member, an elastic member, and at least one hook defined on the side plate. The sliding member is slidably mounted to an inner surface of the side plate. An end of the sliding member is connected to a side of the side plate by the elastic member, each of the sliding member and the side plate defines a latching slot corresponding to the hook. The sliding member is slidable on the side plate to lock or release the hook. A case using the mounting apparatus and the side plate is further disclosed. 1. A mounting apparatus for a side plate , the mounting apparatus comprising:a sliding member slidably mounted to an inner surface of the side plate;an elastic member; andat least one hook defined on the side plate;wherein an end of the sliding member is connected to a side of the side plate by the elastic member, each of the sliding member and each of the side plate define a latching slot corresponding to the hook, the sliding member is slidable on the side plate to lock or release the hook.2. The mounting apparatus of claim 1 , wherein the elastic member is a hook spring claim 1 , the hook spring is parallel with a sliding direction of the sliding member claim 1 , when the hook passes through the latching slot claim 1 , the elastic member drives the sliding member to lock the hook by pretension force.3. The mounting apparatus of claim 1 , wherein the mounting apparatus further comprises a clamp claim 1 , the clamp is mounted to the chassis claim 1 , an end of the clamp defines a locking hole claim 1 , the sliding member further comprises a location post coupling with the locking hole; when the sliding member slide to a released position claim 1 , where the sliding member releases the hook claim 1 , the location post maintains in the locking hole to hold the sliding member.4. The mounting apparatus of claim 3 , wherein the clamp is made of elastic material claim 3 , ...

METHOD, APPARATUS AND DEVICE FOR VOICEPRINT RECOGNITION, AND MEDIUM

The present solution provides a method, apparatus and device for voiceprint recognition and a medium, which is applicable to the technical field of Internet. The method includes: establishing and training a universal recognition model, wherein the universal recognition model is indicative of a distribution of voice features under a preset communication medium; acquiring voice data under the preset communication medium; creating a corresponding voiceprint vector according to the voice data; and determining a voiceprint feature corresponding to the voiceprint vector according to the universal recognition model. According to the present solution, the voice data is processed by establishing and training the universal recognition model, so that a corresponding voiceprint vector is obtained, a voiceprint feature is determined and a person who makes a sound is recognized according to the voiceprint feature. Since the universal recognition model does not limit contents of the voice, the voiceprint recognition can be used more flexibly and usage scenarios of the voiceprint recognition are increased. 1. A method for voiceprint recognition , comprising:establishing and training a universal recognition model, wherein the universal recognition model is indicative of a distribution of voice features under a preset communication medium;acquiring voice data under the preset communication medium;creating a corresponding voiceprint vector according to the voice data; anddetermining a voiceprint feature corresponding to the voiceprint vector according to the universal recognition model.2. The method according to claim 1 , wherein the step of establishing and training a universal recognition model comprises:establishing an initial recognition model; andtraining the initial recognition model according to an iterative algorithm to obtain the universal recognition model.4. The method according to claim 1 , wherein the step of creating a corresponding voiceprint vector according to the ...

SYSTEM, DEVICE, METHOD, AND READABLE STORAGE MEDIUM FOR ISSUING AUTO INSURANCE INVESTIGATION TASK

Disclosed are a system, device, method, and readable storage medium for issuing an auto insurance investigation task. The system includes: a task issuance module that acquires associated crowdsourcing parameters of an auto insurance investigation task, determining one or more public investigators matching the investigation task based on a preset first analysis rule and a preset model, and issuing the investigation task carrying the crowdsourcing parameters to mobile terminals of the determined public investigators; a data acquisition module that obtains corresponding investigation data of the investigation task from a mobile terminal of at least one of the determined public investigators who have accepted the task after recognizing the issued investigation task has been accepted; and a data analysis module that analyzes the obtained investigation data based on a preset second analysis rule and finding out the investigation data that conforms to preset conditions as the task result to be adopted. 18-. (canceled)9. A device for issuing an auto insurance investigation task , comprising a processing unit and a plurality of units coupled to the processing unit , wherein the plurality of units include a system for issuing an auto insurance investigation task , an input/output unit , a communications unit , and a storage unit;wherein the input/output unit is configured to input a user instruction and output a response data of the device for issuing an auto insurance investigation task to the input user instruction,wherein the communications unit is configured for communicative connection with a mobile terminal of a public investigator or a background server,wherein the storage unit is configured to store the system for issuing an auto insurance investigation task and an operation data of the system,wherein the processing unit is configured to call and execute the system for issuing an auto insurance investigation task to perform the following operations:A: acquiring a ...

Context Constrained Novel View Interpolation

Aspects of the present invention include systems and methods for generating a novel view interpolation. In embodiments, feature correspondences and geometrical contexts are used to find additional correspondences based on the assumption of the local linear transformation. The accuracy and the number of correspondence matches may be improved by iterative refinement. Having obtained a set of correspondences, a novel view image can be generated.

CABLE MODEM TERMINATION SYSTEM

A system, in one embodiment, includes a cable modem termination system configured to perform at least the following processing: determining a first quantity related to uncorrectable erroneous codewords and a second quantity related to other codewords except the erroneous codewords in the data packet received by the cable modem termination system from the terminal device via the channel; calculating a first metric relating the first quantity to the second quantity; and in response to the first metric exceeding a first threshold for a first predetermined time, determining the channel as a damaged channel. 1. (canceled)2. (canceled)3. (canceled)4. A cable modem termination system , comprising:a memory, on which instructions are stored; anda processor configured to execute instructions stored on the memory to execute at least the following processing:determining a first quantity related to uncorrectable erroneous codewords and a second quantity related to other codewords except the erroneous codewords in the data packet received by the cable modem termination system from the terminal device via the channel;calculating a first metric relating the first quantity to the second quantity; andin response to the first metric exceeding a first threshold for a first predetermined time, determining the channel as a damaged channel;wherein the processor is further configured to execute instructions stored on the memory to perform at least the following processing:determining a third quantity related to uncorrectable erroneous test codewords and a fourth quantity related to other test codewords except the erroneous test codewords in the test data received by the cable modem termination system from the terminal device via the channel;calculating a second metric relating the third quantity to the fourth quantity; andin response to the second metric being lower than the second threshold for a second predetermined time, determining the channel as an available channel.5. The cable modem ...