Method of measuring the electroosmotic transport coefficient of a proton exchange membrane and device for implementing such a method

A method of determining the electroosmotic transport coefficient of a proton exchange membrane, the method including creating a stream of hydrated hydrogen on either side of the membrane which is permanently controlled so that the relative humidity is almost identical on each side of the membrane at any point, thereby making it possible to minimize any back diffusion into the membrane. Furthermore, the method includes estimating the back diffusion flux into the membrane from the rate of return to equilibrium of the relative humidity starting from the moment when the current is cut off.

ECG NOISE-FILTERING DEVICE

An Electrocardiography (ECG) noise-filtering device is provided in the invention. The ECG device includes a filter and a calculation circuit. The filter receives a first ECG signal and performs a Savitzky-Golay algorithm to generate a second ECG signal. The calculation circuit is coupled to the filter to receive the second ECG signal and processes the second ECG signal according to a Stationary Wavelet Transform (SWT) algorithm to generate a noise signal, and subtracts the noise signal from the second ECG signal to filter the noise signal in the first ECG signal. 1. An Electrocardiography (ECG) noise-filtering device , comprising:a filter, receiving a first ECG signal and performing an algorithm to generate a second ECG signal; anda calculation circuit, coupled to the filter to receive the second ECG signal and processing the second ECG signal according to a Stationary Wavelet Transform (SWT) algorithm to generate a noise signal, and subtracting the noise signal from the second ECG signal to filter the noise signal in the first ECG signal.2. The ECG noise-filtering device of claim 1 , wherein the filter is a Savitzky-Golay filter.3. The ECG noise-filtering device of claim 1 , wherein the calculation circuit comprises:a first calculation circuit, coupled to the filter, wherein after the first calculation circuit receives the second ECG signal, the first calculation circuit performs a SWT calculation on the second ECG signal obtained during an initial period, obtains the second ECG signal obtained in the initial period in the lowest level, and performs a QRS detection on the second ECG signal obtained in the initial period in the lowest level to generate a QRS template signal.4. The ECG noise-filtering device of claim 3 , wherein the calculation circuit further comprises:a first SWT circuit, coupled to the filter, wherein after the initial period, the first SWT circuit performs the SWT algorithm with a first number of levels on the second ECG signal received from the ...

Method and apparatus for predicting mouth-shape feature, and electronic device

A method and apparatus for predicting a mouth-shape feature, and an electronic device are provided. A specific implementation of the method comprises: recognizing a phonetic posterior gram (PPG) of a phonetic feature; and performing a prediction on the PPG by using a neural network model, to predict a mouth-shape feature of the phonetic feature, the neural network model being obtained by training with training samples and an input thereof including a PPG and an output thereof including a mouth-shape feature, and the training samples including a PPG training sample and a mouth-shape feature training sample.

Method, apparatus, device and computer readable storage medium for recognizing aerial handwriting

A method, an apparatus, a device and a computer-readable storage medium for recognizing aerial handwriting are provided. The method may include detecting a palm region of a user in a two-dimensional grayscale image; detecting a fingertip in the two-dimensional gray-scale image based on the palm area; determining a spatial trajectory of the fingertip based on a set of two-dimensional gray-scale images, the set of two-dimensional gray-scale images including the two-dimensional gray-scale image; and recognizing handwritten content of the user based on the spatial trajectory. A two-dimensional gray-scale image is used to recognize and track the spatial trajectory of the fingertip, which may speed up aerial handwriting recognition, and has low processing performance requirements for the device, while also ensuring high accuracy.

Scalable authentication management

Authentication management by receiving a request to initiate an authentication from a computing device of a user, directing the request to a selected authentication service of a plurality of authentication services, wherein the selected authentication service is determined dynamically based on respective authentication metrics of the plurality of authentication services, receiving authentication information via the selected authentication service, and authenticating the user based on the received authentication information.

METHOD FOR MEASURING THE ELECTRO-OSMOTIC TRANSPORT COEFFICIENT OF A PROTON EXCHANGE MEMBRANE AND DEVICE FOR IMPLEMENTING SUCH A METHOD

L'invention concerne un procédé de détermination du coefficient de transport électro-osmotique (K) d'une membrane (1) échangeuse de protons qui est plus fiable et plus précis que les procédés de l'art antérieur, et plus facile à mettre en œuvre et dans des conditions plus représentatives. Pour cela, le procédé consiste à créer un flux d'hydrogène hydraté de part et d'autre de la membrane (1) qui est contrôlé en permanence de façon à ce que l'humidité relative soit presque identique de part et d'autre de la membrane en tout point, ce qui permet de limiter au minimum le phénomène de rétrodiffusion dans la membrane. En outre, le procédé selon l'invention comprend de préférence une étape d'estimation du flux de rétrodiffusion dans la membrane à partir de la cinétique de retour à l'équilibre de l'humidité relative à partir du moment où l'on coupe le courant. The invention relates to a method for determining the electroosmotic transport coefficient (K) of a proton exchange membrane (1) which is more reliable and accurate than the prior art methods, and easier to implement. under more representative conditions. For this, the process consists in creating a flow of hydrogen hydrate on either side of the membrane (1) which is constantly controlled so that the relative humidity is almost identical on both sides of the membrane (1). the membrane at all points, which minimizes the phenomenon of backscattering in the membrane. In addition, the method according to the invention preferably comprises a step of estimating the backscattering flux in the membrane from the kinetics of equilibrium return of the relative humidity from the moment when the current.

Three-dimensional avatar method, device, electronic apparatus and storage medium

【課題】３次元アバタ生成方法、装置、電子機器及び記憶媒体を提供する。【解決手段】方法は、処理対象の顔画像及び３次元参照モデルを取得し、処理対象の顔画像をトレーニングされたニューラルネットワークに入力して、３次元顔モデル、顔属性情報及び顔フィギュア情報を取得し、３次元顔モデルに基づいて３次元参照モデルを変形処理して、３次元フィギュアモデルを取得し、顔属性情報及び顔フィギュア情報に基づいて３次元フィギュアモデルを調整して、ターゲットアバタを取得する。【効果】顔画像及び３次元参照モデルを選択することにより、アバタを迅速かつ正確に生成し、操作が簡単で便利であり、３次元アバタの生成効率及び精度を向上させ、ユーザの使用ニーズを満たすことができる。【選択図】図１

Wearable device with cardiovascular care

一種心血管健康穿戴裝置，係貼靠一使用者的一皮膚上，並量測該使用者的一生理訊號，該心血管健康穿戴裝置係包括一定位槽以及一偵測部，該定位槽係設置於該心血管健康穿戴裝置之一側。該偵測部係設置於對應該定位槽之位置上。藉由該使用者的部分手指位於該定位槽，且貼靠該偵測部，使該偵測部量測該生理訊號。藉此，本創作可供使用者偵測心悸、心律不整、血管彈性分析、血管狹窄或阻塞分析、心房顫動、早發性心房心室收縮、或是心房心室傳導阻滯等等分析。

Method and apparatus for generating three-dimensional virtual image, and storage medium

The disclosure provides a method for generating a three-dimensional virtual image. The method includes: obtaining a face image to be processed and a three-dimensional reference model; obtaining a three-dimensional face model, face attribute information and face image information by inputting the face image to be processed into a trained neural network; obtaining a three-dimensional image model by performing a deformation process on the three-dimensional reference model based on the three-dimensional face model; and obtaining a target virtual image by adjusting the three-dimensional image model based on the face attribute information and the face image information.

A gene encoding capsid protein of porcine circovirus type 2 (PCV2) and its application

A gene of PCV2 Cap protein is provided that can be easily soluble expressed. Also provided is an expression vector containing the gene, recombinant bacteria containing the expression vector, and an application of PCV2 vaccine that based on PCV2 Cap protein expressed by the recombinant bacteria.

process of measuring the electroosmotic transport coefficient of a proton exchanger membrane and device for performing such a process

processo de medida de coeficiente de transporte eletro-osmótico de uma membrana trocadora de prótons e dispositivo para a execução de tal processo. a presente invenção refere-se a um processo de determinação do coeficiente de transporte eletro-osmótico (k) de uma membrana, (1) trocadora de prótons que é menor e mais preciso que os processos da técnica anterior, e mais fácil de executar em condições mais respresentativas. para isso, o processo consiste em criar um fluxo de hidrogênio hidratado de ambos os lados da membrana, (1) que é controlado permanentemente, de forma que a umidade relativa seja quase idêntica de ambos os lados da membrana, em qualquer ponto, o que permite limitar ao mínimo o fenômeno de retrodifusão na membrana. além disso, o processo, de acordo com a invenção, compreende, de preferência, uma etapa de estimativa do fluxo de retrodifusao na membrana, a partir da cinética de retorno ao equilíbrio da umidade relativa a partir do momento em que se corta a corrente. process of measuring the electroosmotic transport coefficient of a proton exchanger membrane and device for performing such a process. The present invention relates to a method of determining the electrosmotic transport coefficient (k) of a membrane, (1) proton exchanger that is smaller and more accurate than prior art processes, and easier to perform in more representative conditions. To achieve this, the process consists of creating a hydrous hydrogen flow on both sides of the membrane, (1) which is permanently controlled so that the relative humidity is almost identical on both sides of the membrane at any given point. allows to minimize the phenomenon of membrane back diffusion. furthermore, the method according to the invention preferably comprises a step of estimating the backscatter flow in the membrane from the relative humidity equilibrium kinetics from the moment the current is cut off.

Method of generating 3d video, method of training model, electronic device, and storage medium

A method of generating a 3D video, a method of training a neural network model, an electronic device, and a storage medium, which relate to a field of image processing, and in particular to technical fields of computer vision, augmented/virtual reality and deep learning. The method includes: determining, based on an input speech feature, a principal component analysis (PCA) coefficient by using a first network, wherein the PCA coefficient is used to generate the 3D video; correcting the PCA coefficient by using a second network; generating a lip movement information based on the corrected PCA coefficient and a PCA parameter for a neural network model, wherein the neural network model includes the first network and the second network; and applying the lip movement information to a pre-constructed 3D basic avatar model to obtain a 3D video with a lip movement effect.

Scalable authentication management

Authentication management by receiving a request to initiate an authentication from a computing device of a user, directing the request to a selected authentication service of a plurality of authentication services, wherein the selected authentication service is determined dynamically based on respective authentication metrics of the plurality of authentication services, receiving authentication information via the selected authentication service, and authenticating the user based on the received authentication information.

Method and apparatus for predicting mouth-shape feature, electronic device, storage medium and computer program product

A method and apparatus for predicting a mouth-shape feature, an electronic device, a medium and a computer program product are provided. A specific implementation of the method comprises: recognizing a phonetic posterior gram (PPG) of a phonetic feature; and performing a prediction on the PPG by using a neural network model, to predict a mouth-shape feature of the phonetic feature, the neural network model being obtained by training with training samples and an input thereof including a PPG and an output thereof including a mouth-shape feature, and the training samples including a PPG training sample and a mouth-shape feature training sample.

口形特徴予測方法、装置及び電子機器

【課題】口形特徴を予測する精度を向上させることができる口形特徴予測方法を提供する。 【解決手段】口形特徴予測方法は、音声特徴の音素事後確率（ＰＰＧ）を認識するステップと、ニューラルネットワークモデルを用いて前記ＰＰＧを予測して、音声特徴の口形特徴を予測するステップと、を有する。ニューラルネットワークモデルは、トレーニングサンプルを用いてトレーニングして得た入力にＰＰＧが含まれ、出力に口形特徴が含まれるニューラルネットワークモデルであり、トレーニングサンプルはＰＰＧトレーニングサンプル及び口形特徴トレーニングサンプルを含む。 【選択図】図１

Method and apparatus for recognizing handwriting in air, and device and computer-readable storage medium

Scalable authentication management

Authentication management by receiving a request to initiate an authentication from a computing device of a user, directing the request to a selected authentication service of a plurality of authentication services, wherein the selected authentication service is determined dynamically based on respective authentication metrics of the plurality of authentication services, receiving authentication information via the selected authentication service, and authenticating the user based on the received authentication information.

Method and apparatus of training model, device, and medium

New structure for the water chestnut set of the counter towel wrapping machine

Camera and terminal

This application provides a camera and a terminal. The camera and a display panel are disposed on a same side of the terminal, the camera includes a lens barrel and a plurality of lenses disposed in the lens barrel in a stacked manner in a direction of an optical axis of the camera, the lens barrel includes a first segment, a lens accommodated in the first segment is a first lens, the first lens includes a light incident surface, a light exiting surface, and a side face connected between the light incident surface and the light exiting surface, the side face includes a first face and a second face that are connected, a perpendicular distance between the first face and the optical axis is less than a perpendicular distance between the second face and the optical axis, a shape of the first segment matches a shape of the first lens, and a part, of the first segment, cooperating with the first face is disposed adjacent to the display panel. Through the foregoing disposing, the display panel at a position, of the first segment, corresponding to the first face may be disposed closer to the optical axis, to further compress a size of the camera, and reduce occupied space of the camera.

Camera and terminal

A camera and a display panel are disposed on a same side of a terminal. The camera includes a lens barrel and a plurality of lenses disposed in the lens barrel in a stacked manner in a direction of an optical axis of the camera. The lens barrel includes a first segment housing a first lens, wherein the first lens includes a light incident surface, a light exiting surface, and a side surface connected between the light incident surface and the light exiting surface. The side surface includes a first surface and a second surface connected to the first surface, wherein a perpendicular distance between the first surface and the optical axis is less than a perpendicular distance between the second surface and the optical axis. A part of the first segment is disposed adjacent to the display panel to reduce a space occupied by the camera.

姿勢認識方法、姿勢認識機器及び記憶媒体

【課題】動作画像に対する取得と分析により、ユーザのリアルタイムの姿勢を取得することにより、携帯機器上の各種センサーの設置を減らし、使い勝手を向上させる姿勢認識方法、姿勢認識機器及び記憶媒体を提供する。【解決手段】使用者が携帯器材を操作する時の姿勢を認識する姿勢認識機器による姿勢認識方法であって、基準画像に基づいて基準モデルを生成するステップ、ユーザと前記携帯器材とを撮像した画像であって、第２認識特徴を含む動作画像を取得するステップおよび前記基準モデルにおける前記第２認識特徴の大きさ、形状、存在位置を含む第２特徴状況を判定し、姿勢認識情報を生成するステップを備える。【選択図】図３

光ディスクドライブ装置

【課題】本発明の目的は、安全性が高い光ディスクドライブ装置を提供することである。 【解決手段】本発明に係る光ディスクドライブ装置は、光ディスクを収容する本体と、本体に回動可能に接続されるディスクカバーと、減速装置とを備えており、減速装置は、本体に装着された減速部材と、減速部材と本体との間に接続された弾性部材を備えており、ディスクカバーを閉じた場合には、減速部材がディスクカバーを閉じたことによって第１の方向に沿って移動され、光ディスクとの間隔を保持すると共に弾性部材に弾性力を蓄積させ、ディスクカバーを開けた場合には、弾性部材が弾性力を解放することによって減速部材を駆動させ、減速部材は第１の方向の反対方向である第２の方向に沿って移動し、光ディスクに接触することによって、光ディスクの回転速度が低減される。 【選択図】図５

Clothe stretching device for knitting frame

ジョイスティック及び端末装置

【課題】センサのカーボン材料が摩耗する可能性がなく、センシング感度が高いジョイスティック及び端末装置を提供する。【解決手段】本発明に係るジョイスティックは、ハウジングと、ハウジングに挿通されたハンドルと、ハンドルに固定連結され、且つハウジングと可動に係合される第１ストッパ５０と、ハンドルと可動に連結され、且つハウジングと可動に係合される第２ストッパ６０と、第１ストッパ、第２ストッパ及びハウジングに接続される弾性部材７０と、磁石と、磁気センサと、を備え、第２ストッパは、ハンドルに突き当てられ、磁石は、ハンドル及びハウジングの一方に固定され、磁気センサは、ハンドル及びハウジングの他方に固定される。【選択図】図２

コントローラ構造

【課題】ユーザの操作感を向上させるコントローラ構造を提供する。【解決手段】駆動機構２１と、ウォームホイール２３と、両端が駆動機構２１およびウォームホイール２３に接続されるウォーム２２と、を含む駆動ユニット２、ウォームホイール２３に連結されるスライダ部材３、ウォームホイール２３に接続されるポテンショメータ５、および制御モジュールを備えるコントローラ構造１００のうち、駆動機構２１は、ウォームホイール２３を駆動する駆動力を提供することにより、スライダ部材３を直線運動させ、ポテンショメータ５は、スライダ部材の位置情報を取得するためのものであり、制御モジュールは、位置情報と駆動力情報とを取得し、駆動力情報および位置情報と、位置設定値および駆動力設定値とをそれぞれ比較して２つの比較結果を求めて、比較結果に応じて、スライダ部材３の位置を調整するように、駆動機構２１の駆動力を制御する。【選択図】図１

一种用于隧道周边收敛和拱顶下沉监测的嵌入式挂钩

本实用新型提供了一种用于隧道周边收敛和拱顶下沉监测的嵌入式挂钩，包括嵌入式圆筒、钩体、保护盖板，所述嵌入式圆筒包括圆筒壁、圆筒底、内螺纹孔杆段、固定耳、螺母、铰链，所述钩体包含外螺纹孔杆段及弯钩，所述钩体通过外螺纹孔固定在嵌入式圆筒的内螺纹孔中，所述保护盖板一端与嵌入式圆筒通过铰链连接，另一端通过螺栓将其固定在嵌入式圆筒螺母上。与相关技术相比，本实用新型提供的一种用于隧道周边收敛和拱顶下沉监测的嵌入式挂钩具有如下优点：该装置可嵌入隧道围岩内部，可有效降低传统挂钩因侵入隧道施工作业面而易发生施工过程中机械碰撞、爆破振动、及喷射混凝土施工等对挂钩的破坏，可有效提高监测数据的准确性及连续性，确保施工安全。

Improvement for wheel tire structure

Blood oxygen concentration measurement device and method

A blood oxygen concentration measurement device includes a light source unit, a light detection unit, a signal processing circuit, and a control unit. The light source generates a light signal. The light detection unit receives a penetrating signal generated by the light signal penetrating an object to generate a detection signal. The signal processing circuit receives the detection signal and processes the detection signal to generate a first processing signal. The control unit receives the first processing signal, calculates the blood oxygen value, the pulse rate and the signal strength index according to the first processing signal, and outputs the blood oxygen value, the pulse rate, and the signal strength index, or performs a low perfusion signal measurement process according to the signal strength index and the first predetermined index.

Heart rate detection device and method

An embodiment of the invention provides a heart rate detection device. The heart rate detection device may include an electrocardiography (ECG) signal extraction circuit, a detection circuit, a calculation circuit and a filter. The ECG signal extraction circuit obtains an ECG signal. The detection circuit detects a plurality of R-waves in the ECG signal. The calculation circuit uses the first of the R-waves as the initial point from which to calculate the standard deviation of the R-waves in each moving window. The calculation circuit determines whether the standard deviation corresponding to each moving window is larger than the first threshold. The calculation circuit determines whether the number of moving windows whose corresponding standard deviation exceeds the first threshold is larger than a second threshold to generate a determination result. Furthermore, the calculation circuit determines whether to use the filter to filter the ECG signal based on the determination result.

Method of generating 3D video, method of training model, electronic device, and storage medium

A method of generating a 3D video, a method of training a neural network model, an electronic device, and a storage medium, which relate to a field of image processing, and in particular to technical fields of computer vision, augmented/virtual reality and deep learning. The method includes: determining, based on an input speech feature, a principal component analysis (PCA) coefficient by using a first network, wherein the PCA coefficient is used to generate the 3D video; correcting the PCA coefficient by using a second network; generating a lip movement information based on the corrected PCA coefficient and a PCA parameter for a neural network model, wherein the neural network model includes the first network and the second network; and applying the lip movement information to a pre-constructed 3D basic avatar model to obtain a 3D video with a lip movement effect.

Systems and methods for achieving continuation of experience between components in a hybrid environment

Systems and methods described herein provide for a process for managing continuity of experience between operation of a hybrid computer system in the connected state and the slate component independently in the disconnected state. Embodiments further provide for the continuity of experience for devices operating under multiple processors or multiple platforms. According to embodiments, one or more states and conditions of the connected hybrid computer system may be synchronized with the slate component when the slate component is disconnected from the hybrid computer system. Alternatively, embodiments provide for the synchronization of one or more states and conditions of the independent slate component with the hybrid computer system responsive to connecting the slate component to the hybrid computer system. Non-limiting examples of states and conditions according to embodiments are web pages, applications, documents, lists of recently opened files and web pages, and web browser active tabs.