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Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Применить Всего найдено 31251. Отображено 199.
10-02-2005 дата публикации

СПОСОБ ОПРЕДЕЛЕНИЯ СКОРОСТИ ДВИЖЕНИЯ ПЕШЕХОДА ПЕРЕД НАЕЗДОМ НА НЕГО ТРАНСПОРТНОГО СРЕДСТВА

Номер: RU2246117C2

Изобретение относится к измерительной технике, используемой при уголовном и служебном расследованиях дорожно-транспортных происшествий (ДТП). Способ включает измерение скорости движения пешехода, установление ее среднеарифметической величины и отличается от известных тем, что проводят экспериментальное определение скорости движения 10-30 раз с тремя пешеходами одного возраста и одинакового физического развития с пострадавшим. При этом обрабатывают результаты как малую выборку с использованием центральных отклонений, с помощью которых определяют среднее значение скорости движения, среднее квадратическое отклонение, ошибку и достоверность среднего значения. При выявленной достоверности среднего значения рассчитывают необходимое количество экспериментов, которое сравнивают с их фактически проведенным числом, и при необходимости проводят дополнительные эксперименты, рассчитывают коэффициент достоверности экспериментальных данных по скорости движения охваченных экспериментами пешеходов, определяют ...

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20-08-2004 дата публикации

ДИСКРИМИНАТОР СЛУЧАЙНЫХ СИГНАЛОВ

Номер: RU2234729C2

Изобретение относится к специализированным вычислительным средствам и может быть использовано для сравнительного анализа случайных процессов, в частности для решения задач дискриминации случайных сигналов по энергетическим признакам. Техническим результатом является упрощение устройства. Устройство содержит мультиплексор, АЦП, перемножитель, накапливающий сумматор, блок деления на постоянный коэффициент, блок управления. 2 ил.

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27-10-2016 дата публикации

УСТРОЙСТВО ДЛЯ ПОВЫШЕНИЯ ТОЧНОСТИ ИЗМЕРЕНИЙ

Номер: RU2601177C2

Изобретение относится к устройству для повышения точности измерений. Технический результат заключается в повышении точности измерения величин. Устройство состоит из блоков памяти, блока деления, тестового блока и блока умножения, характеризующееся тем, что в устройство дополнительно введен пульт оператора, состоящий из блока индикации информации, вход которого является входом устройства, и блока управления, один выход тестового блока подключен на вход блока индикации информации, выход которого подключен на вход блока управления, выходы которого через первый и второй блок памяти подключены на вход блока деления, выход которого подключен на вход третьего блока памяти, выход которого и второй выход тестового блока подключены на входы блока умножения, выход которого является выходом устройства. 3 ил.

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07-03-2024 дата публикации

СПОСОБ ОБНАРУЖЕНИЯ АНОМАЛИЙ В УСТАНОВКЕ ДЛЯ ОБРАБОТКИ ВОДЫ

Номер: RU2814957C2

Изобретение относится к обнаружению аномалий при эксплуатации установок для обработки воды. Техническим результатом является повышение безопасности работы установки. Способ содержит этапы, на которых получают данные от датчиков, отражающих рабочее состояние установки, и дополнительные данные и обрабатывают эти данные в системе для сбора и обработки, которая осуществляет этап обучения, в течение которого система вычисляет параметры распределения вероятностей, с учетом указанных данных, причем указанный алгоритм выдает указатель, отражающий общее состояние установки в виде вероятностного закона; этап применения алгоритма, на котором вводят значения, считанные датчиками в реальном времени, вычисляют значения плотности вероятности для всех датчиков и, в зависимости от результата вычисления этого значения плотности вероятности, если данное значение плотности вероятности является низким, делают вывод о том, что датчики предоставляют значения, отличные от значений, которые они предоставляли во ...

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10-01-2010 дата публикации

ОБНАРУЖЕНИЕ АНОМАЛИЙ ПЕРСПЕКТИВНЫХ ПРЕДСТАВЛЕНИЙ ДАННЫХ

Номер: RU2378694C2

Изобретение относится к области исследования данных. Техническим результатом является повышение эффективности обработки данных. Настоящее изобретение задействует способы обработки данных с использованием подбора кривой для обеспечения автоматического обнаружения аномалий данных в «трубке данных» из перспективного представления данных, что позволяет, например, производить обнаружение аномалий данных, таких как аномалии, представленные на экране, аномалии, выявляемые при нисходящем анализе, и аномалии, выявляемые при «поперечном» анализе, в, например, сводных таблицах и/или OLAP-кубах данных (кубах данных, созданных по технологии оперативной аналитической обработки данных). Согласно изобретению определяют, существенно ли отличаются данные от прогнозируемого значения, установленного процессом подбора кривой, таким как, например, кусочно-линейная функция, примененная к трубке данных. Также согласно настоящему изобретению может быть использовано пороговое значение, содействующее в определении ...

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12-08-2022 дата публикации

СИСТЕМА АДМИНИСТРИРОВАНИЯ ТРАНЗАКЦИЙ С ИИ

Номер: RU2777958C2

Изобретение относится к области вычислительной техники. Технический результат заключается в реализации автоматического формирования отчетов о совершенных транзакциях. Технический результат достигается за счет выполнения следующих этапов: прием данных транзакций; формирование на их основе очищенного набора данных; осуществление кластеризации; идентификация конкретного поднабора из набора кластеров и прием пользовательского определения типа для каждого кластера этого конкретного поднабора; обучение модели прогнозирования с использованием журналов; определение типов транзакций для журналов в очищенном наборе данных, которые еще не ассоциированы с типом транзакции; формирование отчета о транзакциях. 3 н. и 17 з.п. ф-лы, 10 ил.

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20-04-2010 дата публикации

ПРЕДСТАВЛЕНИЕ ЦИФРОВЫХ МАТЕРИАЛОВ, ОСНОВАННОЕ НА ИНВАРИАНТНОСТЯХ МАТРИЦ

Номер: RU2387006C2

Изобретение относится к технологии представления сигналов. Техническим результатом является расширение функциональных возможностей. Система формирования компактного описания цифровых материалов содержит модуль получения, выполненный с возможностью получения цифрового материала, модуль сегментации, выполненный с возможностью разбиения упомянутого материала на множество областей, модуль вычисления, выполненный с возможностью формирования векторов характеристик для каждой области из упомянутого множества, причем векторы характеристик вычисляют на основе инвариантностей матриц, включающих в себя сингулярное разложение, модуль вывода, выполненный с возможностью формирования выходного результата, используя комбинацию вычисленных векторов характеристик, при этом выходной результат формирует вектор хэш-значений для этого цифрового материала, где вектор хэш-значений является компактным представлением цифрового материала, таким образом идентифицируя цифровой материал на основе упомянутого компактного ...

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10-05-1999 дата публикации

УСТРОЙСТВО ДЛЯ ТЕКУЩЕГО КОНТРОЛЯ И СТАТИСТИЧЕСКОГО АНАЛИЗА ОТКЛОНЕНИЙ НАПРЯЖЕНИЯ

Номер: RU2130199C1

Изобретение относится к области информационно-измерительной и вычислительной техники и может быть использовано в электроэнергетике для непрерывного контроля текущих значений и получения гистограммы отклонений напряжения с целью контроля по ГОСТ 13109-87 качества электроэнергии в электрических сетях промышленных предприятий и энергосистем. Техническим результатом является расширение функциональных возможностей, повышение надежности работы и удобства в эксплуатации устройства. Технический результат достигается за счет того, что устройство содержит преобразователь переменного напряжения в постоянное, нуль-орган, формирователь модуля, аналого-цифровой преобразователь, четыре счетчика, многопозиционный и двухпозиционный переключатели, шифратор, коммутатор, блок памяти, ключ, три элемента И-НЕ, генератор импульсов выборки, генератор тактовых импульсов, два блока индикации, два триггера, дешифратор, элемент НЕ. 4 ил.

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30-06-2017 дата публикации

ИНТЕЛЛЕКТУАЛЬНАЯ МИКРОПРОЦЕССОРНАЯ СИСТЕМА ДЛЯ ОПРЕДЕЛЕНИЯ ВЕЛИЧИНЫ ТЕХНИЧЕСКИХ ПОТЕРЬ ЭЛЕКТРОЭНЕРГИИ

Номер: RU2624001C1

Изобретение относится к области электротехники. Технический результат – непрерывный контроль и регистрация уровня потерь электроэнергии в сети, повышение точности определения потерь. Согласно изобретению система содержит датчик тока, датчик температуры окружающей среды, датчик температуры проводников присоединений, микроконтроллер, первый и второй приемопередатчики, постоянное запоминающее устройство, средство для отображения информации, отличающаяся тем, что в нее дополнительно введены второй микроконтроллер, третий микроконтроллер, четвертый микроконтроллер, цифровой трехфазный счетчик, цифровой однофазный многофункциональный счетчик, цифровой датчик напряжения, цифровое измерительное устройство реактивной мощности, первое приемное устройство, второе приемное устройство, третье приемное устройство, четвертое приемное устройство, первое передающее устройство, второе передающее устройство, третье передающее устройство, четвертое передающее устройство, пятое передающее устройство, шестое ...

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15-05-2019 дата публикации

Способ применения информации о сложной группе биомаркеров для диагностики злокачественной опухоли легкого у субъекта, диагностический набор и вычислительная система с её использованием

Номер: RU2687578C2

Группа изобретений относится к медицине, а именно к онкологии, и может быть использована для диагностирования злокачественной опухоли легкого у субъекта. Способ предусматривает следующие стадии: 1) применяют вычислительную систему для получения модели диагностирования злокачественной опухоли легкого. Модель устанавливают с использованием: данных уровня экспрессии отдельных биомаркеров в сложной группе биомаркеров, измеренных из биологических образцов выборки, состоящей из пациентов со злокачественной опухолью легкого и людей без злокачественной опухоли легкого, или их обработанных данных B, где k представляет собой индекс для отдельных биомаркеров и i представляет собой индекс для отдельных биологических образцов выборки; 2) применяют вычислительную систему для получения данных уровня экспрессии отдельных биомаркеров, измеренных в биологическом образце субъекта, или их обработанных данных B, или данных уровня экспрессии отдельных биомаркеров, или их обработанных данных Bи возраст субъекта ...

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30-08-1994 дата публикации

УСТРОЙСТВО ДЛЯ ОПРЕДЕЛЕНИЯ СТАТИСТИЧЕСКИХ ХАРАКТЕРИСТИК СЛУЧАЙНЫХ ПРОЦЕССОВ

Номер: RU2018952C1
Автор: Якимов В.Н.

Изобретение относится к вычислительной технике и может быть использовано для классификации случайных процессов. Цель изобретения - расширение функциональных возможностей за счет определения коэффициента эксцесса. Устройство содержит нуль-орган, блок нормирования, генератор треугольного напряжения, два блока умножения, квадратор, блок сравнения и блок усреднения. 1 ил.

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30-06-1994 дата публикации

СТАТИСТИЧЕСКИЙ АНАЛИЗАТОР

Номер: RU2015553C1

Изобретение относится к области статистической обработки результатов испытаний и может быть использовано для определения вероятности различных событий. Цель изобретения - повышение точности. Анализатор содержит блок задания начальных параметров, блоки деления, блоки вычитания, сумматор и блок извлечения корня. 1 ил.

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10-07-2003 дата публикации

УСТРОЙСТВО ОЦЕНКИ ДЕЙСТВИТЕЛЬНОГО ЗНАЧЕНИЯ ЕДИНИЦЫ ФИЗИЧЕСКОЙ ВЕЛИЧИНЫ ЦИФРОВОГО ГРУППОВОГО ЭТАЛОНА

Номер: RU2208244C1

Изобретение относится к автоматике и вычислительной технике и может быть использовано в метрологии при создании цифровых групповых эталонов. Техническим результатом является повышение точности оценки действительного значения единицы физической величины цифрового группового эталона и формирование на выходе устройства оценки действительного значения единицы физической величины, полученной по методу максимального правдоподобия с учетом действительного значения единицы физической величины цифрового группового эталона в предшествующий момент времени. Технический результат достигается за счет того, что устройство содержит регистры, делители, степенные преобразователи, умножители, сумматоры, компараторы, квадраторы, инверторы и функциональный преобразователь. 2 ил.

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20-07-2009 дата публикации

ОДНОМЕРНЫЙ МЕДИАННЫЙ ФИЛЬТР С МОДУЛЬНОЙ АРХИТЕКТУРОЙ

Номер: RU2362209C1

Изобретение относится к специализированным средствам вычислительной техники и может быть использовано в системах, в которых требуется аппаратная реализация алгоритмов цифровой фильтрации сигналов. Техническим результатом является повышение быстродействия медианного фильтра с любой нечетной длиной апертуры на базе модульной архитектуры, позволяющей вычислять медиану на каждом такте работы схемы. Устройство содержит N элементов задержки входного сигнала, соединенных последовательно, N модулей упорядочивания и хранения отсчетов, каждый из которых состоит из коммутатора шины, двух компараторов, регистра и комбинационной схемы, предназначенной для управления пересылками данных между модулями на основе логической обработки результатов сравнения входных кодовых сигналов и управляющих сигналов от двух соседних модулей. 2 ил., 6 табл.

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10-10-2009 дата публикации

УСТРОЙСТВО ДЛЯ ОЦЕНКИ ПОКАЗАТЕЛЯ АКТИВНОСТИ ОБУЧАЕМЫХ В УЧЕБНОМ ПРОЦЕССЕ

Номер: RU2369900C1

Изобретение относится к вычислительной технике и может быть использовано для оценки показателя активности обучаемых в учебном процессе. Техническим результатом является повышение эффективности учебно-воспитательного процесса и качества подготовки специалистов. Устройство содержит входные регистры, блоки деления, сумматоры, выходной регистр, блок индикации, генератор тактовых импульсов и распределитель импульсов. 2 ил.

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10-01-2002 дата публикации

УСТРОЙСТВО ДЛЯ ОЦЕНКИ ЭФФЕКТИВНОСТИ

Номер: RU2178201C1

Изобретение относится к вычислительной технике, а именно к оборудованию для обработки данных, и может быть использовано для оценки эффективности различных систем, например систем массового обслуживания. Техническим результатом является возможность оценки эффективности различных систем за счет определения вероятности выполнения задач этими системами благодаря вычислению вероятности того, что одна случайная величина больше или равна другой случайной величине. Для этого устройство содержит ПЗУ, коммутаторы, блоки умножения, сумматоры, элементы задержки, регистры, элементы ИЛИ, блок сравнения, блок индикации, генератор тактовых импульсов, элементов И и распределитель импульсов. 3 ил.

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ЭЛЕКТРОННАЯ СХЕМА ОПРЕДЕЛЕНИЯ СРЕДНЕКВАДРАТИЧЕСКОГО ОТКЛОНЕНИЯ СЛУЧАЙНОЙ СОСТАВЛЯЮЩЕЙ НАВИГАЦИОННЫХ ИЗМЕРЕНИЙ

Номер: RU2435210C1

Изобретение относится к области создания навигационных приемников, а также средств автономного контроля навигационных сигналов спутниковых систем ГЛОНАСС, GPS и др. с функцией оперативного контроля достоверности навигационных сигналов. Техническим результатом является повышение надежности и точности определения потребителем своего местоположения за счет определения среднеквадратического отклонения (СКО) случайной составляющей навигационных измерений. Электронная схема оперативного определения среднеквадратичного отклонения случайной составляющей навигационных измерений состоит из двух сдвиговых регистров, трех регистров, трех инверторов, пяти сумматоров, трех константных умножителей, трех модулей возведения в квадрат и одного модуля извлечения квадратного корня и связи между ними. 2 ил.

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УСТРОЙСТВО ДЛЯ ОЦЕНКИ КАЧЕСТВА ОБУЧЕНИЯ РАБОТЕ С КОМПЬЮТЕРОМ

Номер: RU2330323C1

Изобретение относится к вычислительной технике, в частности к устройствам для обработки данных, и может быть использовано для сравнения различных методик обучения работе с компьютером с целью выработки рекомендаций по улучшению качества преподавания. Техническим результатом является ускорение сравнения различных методик. Устройство содержит входные регистры, блоки умножения, блоки деления, элементы задержки, сумматоры, выходной регистр, блоки индикации, генератор тактовых импульсов и распределитель импульсов. 2 ил.

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ДВУМЕРНЫЙ СТАТИСТИЧЕСКИЙ АНАЛИЗАТОР УРОВНЯ И ПРОИЗВОДНОЙ НАПРЯЖЕНИЯ

Номер: RU2053550C1

Устройство относится к информационно-измерительной и вычислительной технике, предназначено для получения двумерной гисторграммы уровня и производной напряжения и может быть использовано в электроэнергетике для оценки изменчивости напряжения в промышленных электрических сетях, а также в других областях техники, например, для излучения и оценки поведения различных качающихся объектов: палубы судна, платформы танка во время движения и др. Цель изобретения - расширение класса решаемых задач за счет получения двумерной гистограммы уровня и производной напряжения. Анализатор содержит входной преобразователь 1 переменного напряжения в постоянное, аналого - цифровой преобразователь 2, компаратор 3, реверсивный счетчик 4, регистры 5, 6 и 17, элементы И - НЕ 7, 8, 15 и 18, генератор 9 тактовых импульсов, кварцевый генератор 10, одновибраторы 11, 13, 14 и 20, счетчик 12, ключ 16, блок 19 памяти. 1 з. п. ф-лы, 6 ил.

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27-03-2012 дата публикации

УСТРОЙСТВО ДЛЯ ОЦЕНКИ СРЕДНЕКВАДРАТИЧЕСКОГО ОТКЛОНЕНИЯ ДИСКРЕТНОГО СИГНАЛА

Номер: RU2446455C1

Изобретение относится к специализированным средствам вычислительной техники и может быть использовано в системах, в которых требуется аппаратная реализация алгоритмов оценки среднеквадратического отклонения дискретных сигналов, например, при оценке уровня шума и пороговом обнаружении. Техническим результатом является повышение точности оценки среднеквадратического отклонения дискретного сигнала. Устройство содержит два цифровых компаратора и два реверсивных счетчика, причем вторым входом второго цифрового компаратора является код, соответствующий константе [0,68·N], где N - количество отсчетов в выборке, выход второго цифрового компаратора соединен с входом управления направлением счета второго реверсивного счетчика. 3 ил., 2 табл.

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27-11-1998 дата публикации

ВЫЧИСЛИТЕЛЬ РАНГОВОЙ СТАТИСТИКИ

Номер: RU2122746C1
Автор: Бирюков М.Н.

Изобретение относится в радиотехнике и может использоваться в радиолокационных обнаружителях сигналов с изменяющейся мощностью в условиях шума. Изобретение позволяет увеличить точность при вычислении ранговой статистики и повысить помехозащищенность вычислителя ранговой статистики, что является техническим результатом. Это достигается введением многоразрядного регистра сдвига, увеличением размера опорной (шумовой) выборки, а также непосредственным вычислением рангов отсчетов сигнала и ранговой статистики. 2 ил.

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Номер: RU2110090C1

Изобретение относится к вычислительной технике и системам управления, может быть применено для построения адаптивных нечетких регуляторов для решения задач управления объектами, математическая модель которых априорно не определена, а цель функционирования выражена в нечетких понятиях. Целью изобретения является расширение функциональных возможностей. Вероятностный автомат содержит: первый блок памяти 2, второй блок памяти 3, блок выбора состояний 6, третий блок памяти 7, первый коммутатор 9, блок выбора выходного сигнала 10, второй коммутатор 12, генератор тактовых импульсов 13, первый блок генерации случайного кода 14, второй блок генерации случайного кода 15, четвертый блок памяти 16, первый блок определения максимального кода 18, пятый блок памяти 20, второй блок определения максимального кода 22. 6 з.п. ф-лы, 21 ил.

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Номер: RU2705010C1

Изобретение относится к области вычислительной техники. Технический результат - создание управляемого устройства, способного повысить достоверность моделирования и прогноза случайных событий в условиях возникновения катастрофических состояний числа отказов производственной и телекоммуникационной системы при плавных изменениях параметров управляющих воздействий или внешних факторов, а также своевременно оповещать администратора, на основе полученных данных идентификации и верификации. Для этого предложено устройство для прогнозирования случайных событий, которое содержит блок управления 1, блок модели системы 2, блок имитаторов состояний участков системы 3, блок формирования сигналов отказов 4, блок регистрации 5, блок проверки данных модели 6, блок коррекции данных модели 7, N ≥ 2 идентичных контроллеров оперативного времени модельных элементов 8– 8, главный контроллер оперативного времени 9, блок анализа катастроф 10 и блок задания пороговых значений количества отказов 11. 2 з.п. ф-лы, ...

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30-07-2021 дата публикации

МЕДИЦИНСКАЯ СИСТЕМА УДАЛЕННОГО МОНИТОРИНГА, АНАЛИЗА И ПРОГНОЗИРОВАНИЯ СОСТОЯНИЯ ПАЦИЕНТА ПО ПОСЛЕДОВАТЕЛЬНОСТИ ЭЛЕКТРОКАРДИОГРАММ СЕРДЦА ПЕРВОГО ОТВЕДЕНИЯ И КОМПЬЮТЕРИЗИРОВАННЫЙ СПОСОБ МОНИТОРИНГА, АНАЛИЗА И ПРОГНОЗИРОВАНИЯ СОСТОЯНИЯ ПАЦИЕНТА

Номер: RU2752707C1

Группа изобретений относится к медицине, а именно к системе и компьютеризированному способу удаленного мониторинга, анализа и прогнозирования состояния пациента по последовательности электрокардиограмм (ЭКГ). При этом для каждого пациента из наблюдаемого множества осуществляют накопление в базе данных последовательности его ЭКГ, маркированных идентификаторами пациента. Выделяют по запросу врача подмножество ЭКГ, которые объединяют в целевую группу по идентификаторам пациента и в соответствии с заданными в запросе врача ограничениями. Осуществляют кластеризацию выделенного подмножества путем объединения ЭКГ в кластер по признаку взаимного подобия их форм. Определяют меру подобия форм в пространстве признаков форм ЭКГ. Каждой ЭКГ ставят в соответствие дискретизированную ЭКГ (ДЭКГ), представляющую собой точку с координатами, значения которых несут информацию о форме исходной ЭКГ. Мера подобия форм между парами ЭКГ задается в виде расстояния между соответствующими им парами точек ДЭКГ. Для ...

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30-01-2019 дата публикации

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Номер: RU2678646C1

Группа изобретений относится к вычислительной технике и может быть использована для вычисления оценки среднего значения случайных величин, имеющих экспоненциальное распределение. Техническим результатом является повышение точности вычисления и упрощение устройства. В одном из вариантов устройство содержит измерительный блок, блок памяти и ранжирования, счетчик, блок выбора статистик, блок вычисления постоянных коэффициентов, блок регистрации результатов, блок управления, блок деления. 2 н.п. ф-лы, 2 ил., 2 табл.

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Номер: RU2195697C1

Изобретение относится к радиотехнике и вычислительной технике и предназначено для использования в комплексах автоматизированных систем управления сетями многоканальной радиосвязи. Техническим результатом изобретения является создание управляемого вероятностного автомата, позволяющего моделировать управляемые полумарковские цепи, идентифицируя и верифицируя граничные и аварийные (катастрофичные) состояния моделируемых случайных процессов при плавных изменениях параметров внешних условий и управляющих воздействий. Вероятностный автомат содержит датчик случайной последовательности, блок формирования нецелочисленных значений индикаторов, блок коррекции, блок формирования значений матрицы, блок управления, блок пороговых устройств, блок формирования значений индикаторов, генератор тактовых импульсов, элемент ЗАПРЕТ, блок элементов И, блок памяти, дешифратор, блок задания времени, элемент ИЛИ, блок анализа катастроф. 2 з.п.ф-лы, 3 ил.

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УСТРОЙСТВО ДЛЯ ПАРАМЕТРИЧЕСКОЙ ОЦЕНКИ ЗАКОНА РАСПРЕДЕЛЕНИЯ ПОТОКОВ СООБЩЕНИЙ

Номер: RU2195698C1

Изобретение относится к радиотехнике и вычислительной технике и предназначено для параметрической оценки закона распределения потоков многопакетных сообщений в средствах многоканальной (спутниковой, радиорелейной, тропосферной) радиосвязи, объединенных в цифровую сеть связи интегрального обслуживания. Техническим результатом является создание устройства для параметрической оценки закона распределения потоков сообщений с более широкой областью применения, устройства, способного оценивать как плотность вероятности различных потоков многопакетных сообщений, так и производить текущую оценку математического ожидания и дисперсии числа информационных сообщений пользователей, поступающих в цифровую сеть связи интегрального обслуживания за период наблюдения, - ключевых параметров, необходимых для определения вероятностно-временных характеристик потоков, циркулирующих в цифровой сети связи интегрального обслуживания. Устройство для параметрической оценки закона распределения потоков сообщений содержит ...

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15-01-2021 дата публикации

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Номер: RU2740534C1

Изобретение относится к вычислительной технике. Технический результат заключается в обеспечении возможности анализировать входной информационный поток в условиях непрерывной динамики смены его состояний. Устройство мониторинга информационного трафика содержит формирователь сигналов текущей оценки, дискриминатор зон значений оценки, распределитель импульсов, счетчик временных интервалов, коммутатор, первый и второй формирователи переменной поиска, первый и второй суммирующие счетчики, первый и второй блоки памяти, блок деления, классификатор, регистр стратегии поиска, формирователь сигналов сброса, блок отображения и записи данных, блок изменения пороговых сигналов, таймер текущих суток, блок формирования порога усечения, структурный анализатор, третий, четвертый, пятый блоки памяти, контроллер времени интервала анализа. 1 з.п. ф-лы, 4 ил.

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Система оценки устойчивости спутниковой системы позиционирования, например системы ГЛОНАСС, к неблагоприятным внешним воздействиям

Номер: RU2698159C1

Изобретение относится к области спутниковых систем позиционирования. Технический результат заключается в эффективности и надежности управления работой системы оценки устойчивости спутниковой системы позиционирования к неблагоприятным внешним воздействиям. Технический результат достигается за счет базы данных экспертных оценок вероятности намерения совершения преднамеренного неблагоприятного внешнего воздействия Pв отношении спутниковой системы позиционирования, базы данных экспертных оценок вероятности способности к совершению преднамеренного неблагоприятного внешнего воздействия Pь, базы данных экспертных оценок вероятности уязвимости от совершения преднамеренного неблагоприятного внешнего воздействия P, базы данных карт, блока оценки вероятности возможности использования спутниковой системы позиционирования Pв соответствии с математической моделью P=1-P·P·P, блока системы мониторинга и/или коррекции спутниковой системы позиционирования, блока навигационно-информационной спутниковой системы ...

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10-09-2013 дата публикации

УСТРОЙСТВО АВТОМАТИЧЕСКОЙ ОЦЕНКИ ФАЗОВОЙ НАПРЯЖЕННОСТИ РЕСПОНДЕНТА

Номер: RU2492520C1

Изобретение относится к вычислительной технике и может быть использовано для анализа взаимосвязи субъективных ответов респондента с его частотой сердечных сокращений (ЧСС) в процессе производимого тестирования, которая характеризует его психологическое состояние. Техническим результатом является повышение объективности, достоверности и быстродействия проводимого тестирования. Устройство содержит группы входных регистров, входные регистры, группы элементов задержки, коммутаторы, группы накопительных сумматоров, накопительные сумматоры, группы блоков деления, блоки деления, группы выходных регистров, выходные регистры, регистры, блоки индикации, группы блоков вычитания по модулю, группы блоков индикации, группу блоков сравнения, группы ключей, элементы ИЛИ, счетчики, группу квадраторов, группу элементов НЕ, блоки умножения, блоки вычитания, блоки извлечения квадратного корня, элементы задержки, генератор тактовых импульсов и распределитель импульсов. 5 ил., 4 табл.

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23-08-2021 дата публикации

Статистический анализатор временных интервалов (варианты)

Номер: RU2753822C1

Изобретение относится к области радиоизмерений. Технический результат заключается в расширении функциональных возможностей анализатора и упрощении процесса поиска моды, необходимой для получения оценки исследуемых временных интервалов. Статистический анализатор содержит входной буфер, счетчик, оперативное запоминающее устройство, блок инкрементирования, блок поиска максимума, выходной регистр и блок управления. В вариантном исполнении из анализатора может быть исключен входной буфер. Принцип действия анализатора предусматривает аппаратурное определение характеристики распределения исследуемых временных интервалов как случайной величины и поиск моды эмпирического распределения. Причем анализатор позволяет работать с временными интервалами, характеристики распределений которых являются как унимодальными, так и мультимодальными. 2 н. и 2 з.п. ф-лы, 5 ил.

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ВЫЧИСЛИТЕЛЬ РАНГОВОЙ СТАТИСТИКИ

Номер: RU2121710C1
Автор: Бирюков М.Н.

Изобретение относится к радиотехнике и может использоваться в радиолокационных обнаружителях сигналов с изменяющейся мощностью в условиях шума. Изобретение позволяет увеличить точность при вычислении ранговой статистики и повысить помехозащищенность вычислителя ранговой статистики, что является техническим результатом. Это достигается введением m + 1 коммутаторов и m + 1 элементов памяти ("пожарной цепочки"), увеличением размера опорной (шумовой) выборки, а также непосредственным вычислением рангов отсчетов сигнала и ранговой статистики. 2 ил.

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ПОСЛЕДОВАТЕЛЬНО-ПАРАЛЛЕЛЬНОЕ УСТРОЙСТВО ОБРАБОТКИСИГНАЛОВ

Номер: RU2321053C1

Изобретение относится к информационно-измерительным устройствам и может быть использовано в вычислительной технике, в системах управления и обработки сигналов. Техническим результатом является выделение полезной составляющей в условиях недостаточной априорной информации о статистических характеристиках аддитивного шума и функции полезной составляющей. Для этого устройство содержит регистр хранения входной реализации, блок управления, тактовый генератор, блок формирования матрицы коэффициентов, счетчик тактовых импульсов, регистры хранения строки матрицы, регистр сравнения, умножители, сумматоры, регистры хранения, регистр хранения выходной реализации. 1 ил.

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Номер: RU2004134293A
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Статистический анализатор, содержащий последовательно соединенные аналого-цифровой преобразователь и регистр, отличающийся тем, что введены последовательно соединенные первый сумматор, входы которого соединены с выходами регистра, первый умножитель, блок делителей, другие входы которого соединены с выходом регистра, блок элементов логарифмирования, второй сумматор, второй умножитель и блок вычисления принадлежности выборочного ряда к одному из 4 типов, последовательно соединенные блок элементов возведения в степень, входы которого соединены с выходами блока делителей, третий сумматор и третий умножитель, выход которого соединен со вторым входом блока вычисления принадлежности выборки к одному из 4 типов, последовательно соединенные блок умножителей, входы которого соединены с выходами блока элементов возведения в степень, четвертый сумматор и четвертый умножитель, выход которого соединен с третьим входом блока вычисления принадлежности выборки к одному из 4 типов, последовательно соединенные ...

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20-12-2002 дата публикации

МНОГОМЕРНЫЙ СТАТИСТИЧЕСКИЙ АНАЛИЗАТОР ВЫБРОСОВ И ПРОВАЛОВ НЕСТАЦИОНАРНОГО НАПРЯЖЕНИЯ

Номер: RU2000128953A
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... 1. Многомерный статистический анализатор выбросов и провалов нестационарного напряжения, содержащий первый нуль-орган, первый формирователь модуля, n (где n - число уровней анализа амплитуды выброса или глубины провала напряжения) аналоговых компараторов, n+1 двоичных счетчиков, многоканальный коммутатор, первый и второй цифровые блоки памяти, двоично-десятичный счетчик, распределитель уровней, регистр, цифровой компаратор, триггер, генератор прямоугольных импульсов, первый и второй одновибраторы, элемент И, элемент НЕ, преобразователь переменного напряжения в постоянное, вход которого соединен со входной клеммой анализатора, прямой выход первого нуль-органа соединен с старшим разрядом второй группы разрядов информационного входа регистра и первым управляющим входом первого формирователя модуля, второй управляющий вход которого подключен к инверсному выходу первого нуль-органа, а выход соединен с объединенными входами n аналоговых компараторов, инверсные выходы каждого из которых соединены ...

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Номер: RU2007122361A
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Способ оценивания многокомпонентного сигнала в стохастической регрессионной модели, коррелированной с погрешностями измеряемого сигнала, заключающийся в эмпирическом байесовском оценивании, с комплексированием метода наименьших квадратов и метода ортогональных проекций по одной и той же совокупности измерений сигнала.

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Номер: RU2003132854A
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Устройство для определения характеристик случайного процесса, содержащее счетчик импульсов, счетчик числа инверсий, генератор импульсов, группу элементов И, первые входы которых объединены, регистр буферной памяти, вход которого является входом устройства для определения характеристик случайного процесса, схему сравнения, группу переключателей, регистр, первый и второй коммутаторы, первую группу элементов задержки, первую группу сумматоров, первую группу масштабных усилителей, счетчик циклов, вход сброса в исходное состояние которого, соединен с выходом счетчика числа инверсий, а счетный вход объединен со счетным входом счетчика импульсов и с управляющими входами первого и второго коммутаторов и соединен с выходом счетных и управляющих импульсов генератора импульсов, вход останова которого соединен с выходом переполнения счетчика импульсов, первую и вторую группы блоков вычитания, группу блоков вычисления обратной величины и группу квадраторов, при этом выход последнего регистра буферной ...

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СИСТЕМА, СПОСОБ И КОМПЬЮТЕРНЫЙ ПРОГРАММНЫЙ ПРОДУКТ ДЛЯ МНОГОМЕРНОЙ СТАТИСТИЧЕСКОЙ ПРОВЕРКИ ДАННЫХ ПО ОБРАБОТКЕ И ИНТЕНСИФИКАЦИИ СКВАЖИН

Номер: RU2015118970A
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... 1. Выполняемый компьютером способ анализа данных по стволу скважины, включающий следующие этапы:получение набора данных из базы данных, при этом указанный набор данных включает данные по стволу скважины;обнаружение выходной переменной;удаление поврежденных данных из набора данных;вычисление нормального распределения для набора данных и формирование, таким образом, нормализованного набора данных;выполнение анализа дерева классификации и регрессии ("CART") по нормализованному набору данных на основании указанной выходной переменной; иопределение на основании анализа CART одной или более предикторных переменных, которые коррелируют с указанной выходной переменной.2. Выполняемый компьютером способ по п. 1, дополнительно включающий следующие этапы:определение влияния одной или более предикторных переменных на выходную переменную; иранжирование одной или более предикторных переменных на основании их влияния на выходную переменную.3. Выполняемый компьютером способ по п. 1, отличающийся тем, что ...

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10-05-1997 дата публикации

УСТРОЙСТВО ДЛЯ ОБРАБОТКИ СТАТИЧЕСКОЙ ИНФОРМАЦИИ

Номер: RU94019264A1
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Изобретение относится к цифровой вычислительной технике и может быть использовано при исследованиях различных физических явлений для статистической обработки данных, направленной на построение математической модели объекта. Цель: расширение области применения и универсализация устройства при осуществлении проверки как значимости коэффициентов, так и адекватности модели экспериментальным данным, за счет использования метода прямой статистической проверки гипотез, основанном на стохастическом (монтекарловском) моделировании случайных величин, распределенных по закону распределения статистики применяемого критерия. Устройство содержит датчики входных и выходных переменных объекта управления, блоки памяти, блок идентификации, квадратор, ключ, сумматор-вычитатель, счетчик с переменным коэффициентом, счета, реверсивный счетчик, генератор импульсов, узел памяти, узел регистра сдвига, блок элементов И, блок формирователей импульсов, регистр, коммутатор, делитель, анализатор, генератор случайных ...

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20-12-2004 дата публикации

УСТРОЙСТВО ДЛЯ ИЗМЕРЕНИЯ РАСПРЕДЕЛЕНИЙ СЛУЧАЙНЫХ ПРОЦЕССОВ

Номер: RU2003116960A
Принадлежит:

Устройство для измерения распределений случайных процессов, содержащее аналого-цифровой преобразователь, информационный вход которого является информационным входом устройства, а выход соединен с вторым информационным входом мультиплексора адреса, выход которого соединен с адресным входом блока памяти, выход которого соединен с входом комбинационного сумматора, счетчик числа отсчетов, блок управления, первый вход которого является входом “Пуск” устройства, первый выход блока управления подключен к входу запуска аналого-цифрового преобразователя, блок индикации, отличающееся тем, что оно содержит блок деления, вход делителя которого подключен к выходу счетчика числа отсчетов, тактовый вход которого объединен с входом запуска аналого-цифрового преобразователя и подключен к первому выходу блока управления, вход делимого блока деления соединен с выходом блока памяти и с входом комбинационного сумматора, выход которого подключен к информационному входу блока памяти, k младших разрядов с выхода ...

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Номер: RU2008146826A
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Способ оценки траектории движения ракеты на активном участке, заключающийся в том, что получают совокупность допустимых траекторий движения, оценивают реальное движение ракеты по телеизмерениям, отличающийся тем, что применяют в качестве модели движения нейросеть, обученную методом обратного распространения ошибки с адаптивным коэффициентом обучения, оценивают траекторию в режиме реального времени.

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Номер: RU2720430C9

Изобретение относится к области резервуарной геохимии, и может быть использовано для пространственной привязки проб пластовых флюидов к объектам разработки (пластам). Техническим результатом изобретения является упрощение и сокращение времени определения состава и/или свойств пластовых флюидов с обеспечением надежной различимости пластовых флюидов друг относительно друга. Способ определения состава и свойств пластового флюида, при котором обеспечивают определение перечня параметров состава и/или свойств пластовых флюидов, обеспечивающих различимость флюидов исследуемой пары пластов, по значению по меньшей мере одной геологической характеристики пары исследуемых пластов и по установленной и зафиксированной в базе данных взаимосвязи значения расстояния между пластами в паре, и/или среднего по паре значения коэффициентов проницаемости, и/или значения разницы плотностей пластовых флюидов, содержащихся в пластах пары, с перечнем параметров состава и свойств пластовых флюидов пары пластов, которые ...

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Изобретение относится к способу управления производственным процессом неразрушающего контроля в организациях, имеющих обособленные структурные подразделения (удаленные исполнители). Техническим результатом является повышение точности контроля производственного рабочего процесса. Способ включает в себя измерение, передачу по каналам связи, прием, хранение в базе данных, анализ значений показателей производственных процессов и результатов контроля объектов от удаленных исполнителей. По результатам контроля определяют частоту браковки для каждого удаленного исполнителя, среднюю частоту браковки в компании и устанавливают границы допустимых отклонений. При превышении границ допустимых отклонений для данного удаленного исполнителя определяют максимальную допустимую вероятность риска возникновения несоответствия, и при превышении максимальной допустимой вероятности риска устанавливают запрет на передачу по каналам связи результатов контроля до выявления и устранения причин несоответствия. 2 ил ...

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Изобретение относится к технике обнаружения сигналов при воздействии помех, например, в лазерной дальнометрии или в системах охранной сигнализации. Техническим результатом является сокращение объема испытаний при обеспечении необходимой надежности оценки вероятности недостоверных измерений. Способ содержит n-кратное повторение измерений, определение количества m недостоверных измерений и сравнение m с предельно допустимым значением m(n), при этом проводятизмерений, где P(0) - заданная вероятность того, что в серии измерений не будет ни одного недостоверного измерения, р - предельно допустимая вероятность недостоверного измерения, и если в серии количество недостоверных результатов m(n)=m(n)=0, то результат проверки считают положительным и прекращают испытания, в противном случае повторяют испытания по той же методике в объемегде Р(0) - заданная вероятность того, что во второй серии не будет ни одного недостоверного измерения, и при повторении недостоверных измерений во второй серии бракуют ...

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Номер: RU2008123355A
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... 1. Способ коэффициентной оценки, включающий получение интегрального показателя суммированием частных входных и (или) промежуточных показателей, умножаемых на весовые коэффициенты, отличающийся тем, что сравнивают каждое умножаемое значение показателя с заблаговременно задаваемой пороговой величиной и выбирают соответственно результату сравнения для весового коэффициента одно из заблаговременно задаваемых значений. ! 2. Устройство для коэффициентной оценки, содержащее первый сумматор, перемножитель с первой группой входов, связанных с выходами первого сумматора и второй группой входов для подачи значения весового коэффициента, числовую ячейку постоянного запоминающего устройства (ПЗУ) для хранения значения весового коэффициента и второй сумматор, одна из групп входов которого подключена к выходам перемножителя, отличающееся тем, что в состав устройства введены вторая и третья числовые ячейки ПЗУ для хранения двух дополнительных значений весового коэффициента и четвертая ячейка ПЗУ для хранения ...

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Номер: RU93014951A
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Цель изобретения - расширение функциональных возможностей и уменьшение времени, необходимого для достоверных измерений при гауссовых, показательных и релеевских распределениях плотности вероятности. Новым является введение двух аналоговых компараторов, трех счетчиков, трех пар цифровых компараторов, в каждом из которых один компаратор настроен на нижнее, второй на верхнее заранее заданные числа срабатывания, три запоминающих устройства, каждое из которых содержит сумматор, входы которого соединены соответственно с суммирующим и вычитающим входами запоминающего устройства, а выход - через схемы И и НЕ соответственно со счетным входом и входом сброса запоминающего триггера, выход которого является выходом запоминающего устройства, и вход переноса, соединенный с сумматором через дифференцирующую цепь, а со схемами И и НЕ - непосредственно, а также схема совпадений с тремя входами и таймер, при этом сигнальный вход соединен с каждым из трех входов схемы совпадений, включенной перед индикатором ...

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Субоптимальный нелинейный фильтр, содержащий N-канальные блоки (где N - размер аппроксимирующей сетки про пространственной координате): составной блок регистров, коммутатор, первый и второй регистры, накапливающий сумматор, первый, второй, третий, четвертый и пятый блоки умножения, сумматор, первый и второй блоки быстрого преобразования Фурье, первый и второй блоки умножения комплексных чисел, сумматор комплексных чисел, блок обратного преобразования Фурье, блок управления, отличающийся тем, что для повышения точности приближенного решения уравнения оптимальной нелинейной фильтрации в него дополнительно введены второй, третий и четвертый коммутаторы, второй накапливающий сумматор, умножитель на два, сумматор, первый и второй элементы И, элемент ИЛИ, генератор тактовых импульсов, при этом первый выход блока регистров соединен с первым информационным входом первого коммутатора, выход которого соединен с информационным входом первого регистра, выход которого соединен с первым информационным ...

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Предлагаемое изобретение относится к вычислительной технике и системам управления, может быть применено для построения адаптивных нечетких регуляторов для решения задач управления объектами, математическая модель которых априорно не определена, а цель функционирования выражена в нечетких понятиях. Устройство содержит первый блок памяти, второй блок памяти, блок выбора состояний, третий блок памяти, первый коммутатор, блок выбора выходного сигнала, второй коммутатор, генератор тактовых импульсов, первый блок генерации случайного кода, второй блок генерации случайного кода, четвертый блок памяти, первый блок определения максимального кода, пятый блок памяти, второй блок определения максимального кода.

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Номер: RU95115665A
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Устройство для исследования графов, содержащее матрицу формирователей дуг, матрицу формирователей путей, первый и второй элементы задержки, группу из n элементов задержки (n - число вершин исследуемого графа), генератор одиночных импульсов, первый, второй и третий элементы И, распределитель уровней, матрица формирователей дуг содержит n•n формирователей дуг, каждый из которых состоит из триггера и элемента И, единичный выход триггера соединен с первым входом элемента И, второй вход которого соединен с входом формирователя дуги, объединенного у всех дуг по столбцам матрицы формирователей дуг, матрица формирователей путей содержит n•n формирователей путей, каждый из которых состоит из триггера, первого и второго элементов И, отличающееся тем, что в каждый формирователь пути матрицы формирователей путей введены второй триггер, третий элемент И и элемент ИЛИ, причем первый вход формирователей путей, соединенный с первым входом первого элемента И и первым входом третьего элемента И этих формирователей ...

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Технология сбора статистической информации о посещаемости мест массового скопления людей, отличающаяся тем, что сбор статистической информации осуществляется путем добровольной регистрации посетителей за символическую плату в кассовых аппаратах, объединенных в единую сеть, а привлечение посетителей к добровольной регистрации обеспечивается выплатой премии за регистрацию, составляющей часть от сбора за регистрацию каждому посетителю, у которого номер регистрации кратен числу, установленному организатором сбора информации.

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Номер: RU2007105361A
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Устройство для обработки черно-белых изображений, содержащее блок хранения входной реализации, вход которого является информационным входом устройства, К каналов, каждый из которых состоит из коммутатора, блока аппроксимации и блока хранения оценки, арифметически суммирующее устройство, регистр хранения, выход которого является информационным выходом устройства, при этом выход блока хранения результатов измерений подключен к первым входам коммутаторов, ко вторым входам которых подключен выход блока разбиения на интервалы, который содержит генератор случайных чисел, распределенных по равномерному закону, выход которого подключен к входу блока устранения связанных значений, выход которого подсоединен ко входу блока ранжирования, к выходу которого подключен вход регистра хранения выборки случайных чисел, чей выход является информационным выходом блока разбиения на интервалы, к выходам коммутаторов подключены входы блоков аппроксимации, отличающееся тем, что выход блока хранения оценки полезной ...

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Полезная модель относится к области автоматики и вычислительной техники и может быть использована для научных исследований, в которых необходимо использование методов экспертных оценок на основе набора оценочных показателей с целью ранжирования объектов. Устройство предназначено для непосредственного расчета показателей, позволяющих ранжировать объекты на основе набора заданных оценочных показателей. Цель создания полезной модели - создание технического средства определенного назначения (расчета показателей, позволяющих ранжировать объекты на основе набора заданных оценочных показателей). Реализация и использование предлагаемой полезной модели позволяет проводить расчет показателей, позволяющих ранжировать объекты на основе любого количества оценочных показателей, используемых для проведения экспертных оценок, с учетом любого количества экспертов, участвующих в экспертной работе. Технический результат данной полезной модели заключается в том, что при реализации и использовании данного устройства ...

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Номер: SU1698897A1
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Изобретение относится к вычислительной технике и предназначено для определения статистических характеристик случайных процессов. Цель изобретения - повышение точности. Устройство содержит тактовый генератор 1, аналого-цифровой преобразователь 2, блоки памяти 3 и 23, блок элементов ИЛИ 4, элемент 5 задержки, амплитудные дискриминаторы 6 и 7, сумматоры 8 и 24, группы элементов 9 деления, блок 10 определения экстремальных значений, блок 11 деления, счетчик 12, регистр 13, блоки 14. 15, 16 сравнения, элементы И 17 и 18. формирователь 19 импульса, элементы ИЛИ 20 и 21, блок 22 оценки плотности вероятности, реверсивный счетчик 25, коммутатор 26. Повышение точности достигается путем адаптации параметров устройства к условной плотности вероятности случайного процесса . 2 ил.

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Изобретение относится к автоматике и вычислительной технике и может быть использовано в устройствах, осуществляклцих весовую обработку цифровой информации, представленной в виде массивов чисел (например, при обработке изображений). Целью изобретения является повышение быстродействия 30 устройства для вычисления скользящего среднего. Деть достигается путем параллельной обработки элементов исходного массива несколькими окнами. При этом параллельно вычисляются несколько значений скользящего среднего с учетом весовых функций. Устройство содержит блок 1 памяти массива, счетчик 2 но- мера базовой строки массива, счетчик 8 номера столбца маски, блок 9 умножения , накапливающий сумматор 10, делитель 11, регистр 12 делителя, блок 13 элементов И, регистр 14 числа столбцов маски, блок 15 умножения , сумматор 16, триггер 17, элементы И 18-23, элемент НЕ 24, элемент ИЛИ-НЕ 25, блок 26 элементов И, элемент ИЛИ 27, синхронизатор 28, выход Конец работы 29 и тактовый вход 30 устройства. 1 ил. (Л ...

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Изобретение относится к вычислительной технике, a именно к устройствам для оценки мгновенного значения амплитуды yJкoпoлocнoгo слу ,чайного процесса, и может использоваться в системах автоматического управления и контроля при наличии значительного уровня аддитивного случайного шума. Цель изобретения - по- вьппение помехоустойчивости - достигается тем, что в устройство, содержащее генератор «рртогональных импульсных последовательностей, .вычислитель и компаратор, соединенный с входом устройства, введены знаковые и полузнаковые корреляторы,выходы которых соединены с вычислительным блоком, формирующим оценку амплитуды в виде частного от деления суммы модулей полузнаковых коэффициентов корреляции на сумму модулей знаковых коэффициентов корреляции. 1 ил. W ьо 4: СО СП сс 00 ...

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Изг бретение относится к вычислительной технике. Целью изобретения является повышение быстродействия путем использования логических операций построения вариационного ряда и расширение функциональньк возможностей путем формирования ряда ординат в порядке их возрастания или убывания. Устройство содержит последовательно соединенные генератор тактовьс: импульсов и делитель, 2k блоков записи массива данных, 3k+1 блоков определения максимального числа , буферный регистр и блок памяти. Цри этом входы первой группы входов и выходы каждого блока записи массива данных подключены к соответствующим входам устройства и к входам одного из 2k блоков определения максимального числа, составляющих первую группу, выходы каждого из двух соседних блоков определения максимального числа первой группы с четным и нечетным порядковыми номерами подключены к входам соответствующих блоков определения максимального, числа второй группы, входы каждого из блоков определения максимального числа последующей группы подключены ...

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Изобретение относится к вычислительной технике и может использоваться для определения закона распределения при малом числе измерений. Целью изобретения является повьшение точности оценивания закона распределения при малом числе измерений. В устройстве используется двухэтапная процедура оценивания, причем оценки моментов, полученные на первом этапе по ядерной оценке плотности- распределения . Устройство содержит аналоге (Л ...

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Изобретение относится к области специализированной вычислительной техники и может использоваться для анализа случайных процессов в измерительных устройствах. Цель изобре тения - повьппение точности за счет автоматической настройки измерительного пооога по -уровням шумов. Схема устройства содержит два регистра, коммутатор, сумматоры, блок элементов НЕ и элемент НЕ, блок управле ния , элемент задержки. Соединенные в соответствии с алгоритмом функционирования устройства перечисленные узлы позволяют осуществить режим адаптации , по шумам, что обеспечивает повышение достоверности результатов за счет автоматического разделения 1 сигналов и шумов по заданному отношению сигнал/шум во всем рабочем диапазоне уровней сигналов. 2 ил. § сл ю со со ...

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07-01-1988 дата публикации

Устройство для определения квантилей случайного процесса

Номер: SU1365095A1
Принадлежит:

Изобретение относится к автоматике и вычислительной технике и предназначено для определения статистических характеристик случайных процессов , в частности для определения медианы, квантилей и математического ожидания непрерывных случайных эрго- дических процессов. Цель изобретения - повьшение точности устройства.

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07-12-1992 дата публикации

Цифровой фильтр

Номер: SU1780089A1
Принадлежит:

Изобретение относится к вычислительной технике и может быть использовано всистемах цифровой обработки информации. Цель изобретения - повышение быстродействия. Фильтр содержит регистры памяти, сумматор, мультиплексоры, умножитель, элементы ИЛИ, элемент НЕ, регистр, блок синхронизации, две группы компарато- роз, группу реверсивных счетчиков, ключи, блок ключей и накапливающий сумматор. 1 ил.

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23-02-1985 дата публикации

Устройство для определения действующего значения сигнала

Номер: SU1141421A1
Принадлежит:

... 1. УСТРОЙСТВО ДЛЯ ОПРЕДЕЛЕНИЯ ДЕЙСТВУ1ОДЕГО ЗНАЧЕНИЯ СИГНАЛА, содержащее регистратор, блок масшта-, бирования, вход которого является входом устройства, выход блока масштабирования сбединен с первым информационным входом вычислительного блока , второй информационньй вход которого подключен к выходу источника постоянного напряжения, первый и второй управляющие входы первого вычислительного блока соответственно подключены к первым выходам первой и второй групп выходов генератора псевдослучайных чисел, а вход синхронизации подключен к первому выходу генератора тактовых импульсов, второй выход которого соединен с входом генератора псевдослучайных чисел, отличающийся тем,. что, с целью повышения быстродействия, - в него введены накапливающий сумматор, блок постоянной памяти, счетчик переноса , первый и второй регистры сдвига , сумматор по модулю два, одноразрядньй сумматор, мультиплексор, триггер переноса, блок извлечения квадратнс го корня и (Пг-1) вычислительных блоков, вторые информационные ...

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23-04-1982 дата публикации

Анализатор случайного сигнала

Номер: SU922771A1
Принадлежит:

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07-11-1985 дата публикации

Вычислитель оценки математического ожидания

Номер: SU1190390A1
Принадлежит:

ВЫЧИСЛИТЕЛЬ ОЦЕНКИ МАТЕМАТИЧЕСКОГО 0}ЩЦАНИЯ, содержащий аналого-цифровой преобразователь, элементы И, первый элемент НЕ-И, сумматор , дешифратор, счетчик,генератор импульсов, тактовый вход аналогоцифрового преобразователя объединен со счетным входом счетчика и подключен к выходу генератора импульсов, первый выхбд дешифратора соединен с первым входом первого элемента И, второй выход дешифратора подключен к первому входу второго элемента И, выход счетчика соединен с входом дешифратора , отличающийся тем, что, с целью повышения точности, в него введены блок ассоциативной памяти, второй элемент НЕ-И,умножитель , выход которого подключен к .первому информационному входу сумматора , вход сброса которого объединен с входом запуска генератора импульсов и является входом запуска вычислителя , второй информационный вход сумматора соединен с выходом первого элемента НЕ-И, первый вход которого подключен к второму выходу дешифратора , третий выход которого соединен с входом запуска аналого-цифрового ...

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28-02-1978 дата публикации

Цифровой спектроанализатор

Номер: SU595739A1
Принадлежит:

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30-12-1987 дата публикации

Устройство для определения автокорреляционной функции

Номер: SU1363254A1
Принадлежит:

Изобретение относится к системам экспресс-обработки измерительной информации. Целью изобретения является расширение функциональных возможностей путем определения автокорреляционной функции для порядковых статистик. Цель достигается за счет упорядочивания ансамбля входных величин и реализации рекурсивньпс алгоритмов. Для зтого в устройство введены группа цифроаналоговых преобразователей 13, две группы компараторов 2,4, элементы И-НЕ 5, триггеры 6, элементы ИЛИ .7, блок сравнения 8, блок уравновешивания 12, сумматор 15, цифроаналоговый преобразователь -16, регистры 17-19, счетчики 25 27, делитель частоты 30, генератор импульсов 31, распределитель импульсов 26, элементы И 22-24, блоки памяти 28,29. 2 ил. с fB ел со о оо ю СП 4; ...

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30-12-1987 дата публикации

Устройство для определения среднего значения выборочного размаха

Номер: SU1363252A1
Принадлежит:

Изобретение относится к системам экспресс-обработки измерительной информации. Целью изобретения является расширение функциональных возможностей путем определения среднего значения выборочного размаха знакопеременных сигналов. Цель достигается за счет обработки упорядоченных входных величин с помощью рекурсивных алгоритмов, а также за счет того, что в устройство введены распределители импульсов 21, 22, сумматор 14, группа сумматоров 1, делитель частоты 20, элементы И-НЕ 4, триггеры 5, элементы ИЛИ 6, вычи- татель 26, блок памяти 25, блок сравнения 7, блок уравновешивания 11. 2 ил. с (С 27 00 а ел tS9 28 ...

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28-10-1969 дата публикации

Статистический анализатор

Номер: SU255666A1
Автор: Шадрин Ю.В.
Принадлежит:

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05-01-2012 дата публикации

Methods for Estimating Location Using Signal with Varying Signal Speed

Номер: US20120004889A1
Принадлежит: Individual

Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.

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12-09-2019 дата публикации

Импульсное приемное устройство

Номер: RU0000192302U1

Полезная модель относится к технике обнаружения сигналов при воздействии помех, например, в лазерной дальнометрии или в системах охранной сигнализации. Импульсное приемное устройство содержит приемник с таймером, задающим пределы рабочего времени приема. Кроме того введены коммутатор режима времени, снабженный счетчиком времени, и счетчик недостоверных измерений, связанный с выходом приемника, а также введено решающее устройство, включенное на выходе счетчика недостоверных измерений. Счетчик недостоверных измерений может включать селектор пропусков и селектор ложных тревог, включенные на выходе приемника, при этом на входе селектора пропусков введен задатчик правильных результатов. Технический результат заключается в сокращении времени испытаний при обеспечении минимального разброса результатов и без ущерба для ресурса изделия. 1 з.п. ф-лы. 2 ил. РОССИЙСКАЯ ФЕДЕРАЦИЯ (19) RU (11) (13) 192 302 U1 (51) МПК G01C 3/00 (2006.01) G06F 17/18 (2006.01) G01J 1/44 (2006.01) ФЕДЕРАЛЬНАЯ СЛУЖБА ПО ИНТЕЛЛЕКТУАЛЬНОЙ СОБСТВЕННОСТИ (12) ОПИСАНИЕ ПОЛЕЗНОЙ МОДЕЛИ К ПАТЕНТУ (52) СПК G01J 1/44 (2019.05); G01C 3/00 (2019.05); G01S 17/02 (2019.05); G06F 17/18 (2019.05) (21)(22) Заявка: 2019121405, 09.07.2019 (24) Дата начала отсчета срока действия патента: Дата регистрации: 12.09.2019 (45) Опубликовано: 12.09.2019 Бюл. № 26 1 9 2 3 0 2 R U (54) Импульсное приемное устройство (57) Реферат: Полезная модель относится к технике обнаружения сигналов при воздействии помех, например, в лазерной дальнометрии или в системах охранной сигнализации. Импульсное приемное устройство содержит приемник с таймером, задающим пределы рабочего времени приема. Кроме того введены коммутатор режима времени, снабженный счетчиком времени, и счетчик недостоверных измерений, связанный с выходом приемника, а также введено решающее устройство, включенное на выходе счетчика Стр.: 1 (56) Список документов, цитированных в отчете о поиске: RU 2655006 C1, 23.05.2018. RU 2288454 C2, 27.11.2006. RU 165106 U1, 10.10.2016. US ...

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02-02-2012 дата публикации

Machine-implemented method and an electronic device for graphically illustrating a statistical display based on a set of numerical data, and a computer program product

Номер: US20120029873A1
Принадлежит: Chii Ying Co Ltd

A machine-implemented method for graphically illustrating a statistical display based on a set of numerical data includes the steps of: (a) finding a median and a subset of the numerical data, each corresponding to a member of a predetermined set of cumulative distribution probabilities of the Gaussian distribution; (b) computing a mean and a standard deviation; (c) computing a plurality of reference values, each differing from the mean by a corresponding predetermined number multiplied by the standard deviation; (d) generating a plot that includes a first line, a second line and a plurality of connecting lines, the first line having the median and the subset marked thereon, the second line having the mean and the reference values marked thereon, the connecting lines respectively connecting the median and the mean, and corresponding pairs of the subset of the numerical data and the reference values; and (e) outputting the plot for viewing by a user.

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23-02-2012 дата публикации

Comparing boolean functions representing sensor data

Номер: US20120047191A1
Принадлежит: Fujitsu Ltd

According to certain embodiments, a first Boolean function and a second Boolean function are received. The first Boolean function represents a first data set, and the second Boolean function represents a second data set. The first Boolean function and the second Boolean function are transformed to a first arithmetic function and a second arithmetic function, respectively. A first hash code and a second hash code are calculated from the first arithmetic function and the second arithmetic function, respectively. If the first hash code equals the second hash code, the first Boolean function and the second Boolean function are designated as equivalent; otherwise, the first Boolean function and the second Boolean function are designated as not equivalent.

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29-03-2012 дата публикации

Kit and method for predicting cytarabine sensitivy of patient having acute myeloid leukemia

Номер: US20120077683A1
Принадлежит: SAMSUNG ELECTRONICS CO LTD

A kit and method for predicting cytarabine sensitivity of patients having acute myeloid leukemia are disclosed.

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17-05-2012 дата публикации

Method for analyzing longitudinal data, corresponding computer and system

Номер: US20120123753A1
Автор: Marc Lavielle

The method according to the invention for analyzing longitudinal data characterizing the evolution of at least a first variable as a function of at least one second variable, comprising steps for determining ( 22, 24, 26 ) adjacent variation sub-intervals for at least one of said first and/or second variables and characterizing ( 28 ) said data on said sub-intervals wherein the step for determining said sub-intervals comprises: defining ( 24 ) a representative function of a dispersion of said variable in said sub-intervals, the value of which depends on the lower and upper bounds of said sub-intervals, and determining ( 26 ) the lower and upper bounds of said sub-intervals optimizing the value of said function.

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07-06-2012 дата публикации

Group variable selection in spatiotemporal modeling

Номер: US20120143796A1
Принадлежит: International Business Machines Corp

In response to issues of high dimensionality and sparsity in machine learning, it is proposed to use a multiple output regression modeling module that takes into account information on groups of related predictor features and groups of related regressions, both given as input, and outputs a regression model with selected feature groups. Optionally, the method can be employed as a component in methods of causal influence detection, which are applied on a time series training data set representing the time-evolving content generated by community members, output a model of causal relationships and a ranking of the members according to their influence.

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21-06-2012 дата публикации

System and method for determining the activity of a mobile element

Номер: US20120158351A1
Автор: Pierre Jallon

System for determining the activity of a mobile element (EM), includes at least one motion sensor (CM) having at least one measurement axis, which is provided with a fattener (MF) for securely connecting said motion sensor (CM) to the mobile element (EM). The system further includes a filter (FILT) for selecting, for each measurement axis of the motion sensor, high frequencies above a first threshold (S 1 ); processing equipment (DET) for determining a unidimensional high-frequency component (y(n)) equal to the square of the Euclidean norm of said high frequencies along the measurement axes of the motion sensor (CM) that are taken into account; a calculator (CALC) for calculating, for each state, probability density functions (P y,i ) of said high-frequency component (HF), said probability density function corresponding to each state according to a Chi-square law with a degree of freedom equal to the number of measurement axes of the motion sensor (CM) that are taken into account; and an analyzer for defining states of the mobile element, which utilizes the probability density function of the high-frequency component for each state, together with the probabilities of transitions between two successive states.

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28-06-2012 дата публикации

Method and system for determining blended histogram shape identifiers

Номер: US20120166140A1
Автор: James S. Weber
Принадлежит: Individual

A method and system for determining blended histogram shape identifiers. A blended set of possible histogram shapes is created by selecting generated histogram shapes from a first generated set of all possible histogram shapes generated with a first method that include highest order rankings from a first pre-determined ranking order and generated histogram shapes from a second set of all possible histogram shapes generated with a second method that include highest rankings from a second pre-determined ranking order. A graphical histogram is displayed using the third blended set of all possible histogram shapes, thereby creating the graphical histogram with a new set of all possible histogram shapes based on an aggregate rakings order of histogram shapes generated with the first and second methods.

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02-08-2012 дата публикации

Determination of melting temperatures of dna

Номер: US20120197537A1
Автор: Ronald T. Kurnik
Принадлежит: Roche Molecular Systems Inc

Numerical determinations of the first derivatives of a melt curve data set are made. A model function, such as a Gaussian Mixture Model (GMM) function, with parameters determined using a Levenberg-Marquardt (LM) regression process is used to find an approximation to the first derivative curve. The maximum values of the numerically determined first derivative values are used as initial conditions for parameters of the model function. The determined parameters provide one or more fractional melting temperature values, which can be returned, for example, displayed or otherwise used for further processing.

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20-12-2012 дата публикации

Detecting impact of extrinsic events on a time series

Номер: US20120323537A1
Принадлежит: Microsoft Corp

In one embodiment, an event impact signature detector may analyze a time series with external events. A data interface 250 may receive a data set 310 representing the time series with external events. A processor 220 may fit the data set 310 into a baseline time series model 330 . The processor 220 may iteratively determine each event location 352 for multiple external events 350 affecting the baseline time series model 330 . The processor 220 may iteratively solve for each event impact 354 of the multiple external events 350 factoring in interactions between the multiple external events 350.

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27-12-2012 дата публикации

Information processing device, method of processing information and storage medium

Номер: US20120331024A1
Принадлежит: NEC Corp

An information processing device can obtain an accurate result of regression analysis even if a mean and a variance of a response variable depends on an explanatory variable taking continuous variable. An information processing device calculates a mean of and a variance of a response variable for each range which is determined based on a partition candidate being information on partitioning a domain of an explanatory variable into a plurality of ranges based on observed data including information representing the explanatory variable and information representing the response variable being an observed value in terms of the explanatory variable and the mean and the variance are dependent on the explanatory variable. The information processing device selects a specific partition candidate among a plurality of the partition candidates by using an information criterion which is calculated based on the observed data and the calculated mean and variance of the response variable. The information processing device calculates a smooth function representing the variance of the response variable in the domain of the explanatory variable and a smooth function representing the mean of the response variable in the domain of the explanatory variable based on the mean and the variance calculated for each range determined based on the specific partition candidate.

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24-01-2013 дата публикации

Context-aware parameter estimation for forecast models

Номер: US20130024170A1
Принадлежит: SAP SE

Methods, systems, and computer-readable storage media for providing at least one parameter for use with a forecast model. Implementations include actions of receiving a first context vector, the first context vector including a plurality of context attributes that describe a first context, retrieving a first parameter vector from a repository based on the first context vector, the repository electronically storing a plurality of parameter vector, each parameter vector being associated with a respective context and including one or more parameters, parameterizing the forecast model based on parameters provided in the first parameter vector to provide a parameterized forecast model, optimizing the parameterized forecast model to provide an optimized forecast model, and forecasting one or more values using the optimized forecast model.

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31-01-2013 дата публикации

Forecasting Hotspots using Predictive Visual Analytics Approach

Номер: US20130031041A1
Принадлежит: PURDUE RESEARCH FOUNDATION

A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

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07-02-2013 дата публикации

System and method for statistically separating and characterizing noise which is added to a signal of a machine or a system

Номер: US20130036148A1
Автор: Netzer Moriya
Принадлежит: Nemor Properties LLC

Methods for determining variance properties of a noise component of a raw signal of a machine or a system. An example method includes recording a signal using a noise estimation unit, numerically differentiating the signal using a first module of the noise estimation unit to obtain a differentiated signal, identifying, using a second module of the noise estimation unit, a histogram which corresponds to the differentiated signal, and determining using the histogram, a variance property of the noise component of the signal.

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14-02-2013 дата публикации

Methods and systems for comparing vertical axis turbine arrays and providing configurations thereof

Номер: US20130041636A1

A method for providing potential flow elements including a vortex to capture rotation of a turbine, a dipole to capture a blockage effect of the turbine, a sink to capture extracted energy from wind by the turbine, and a source to capture recovery of flow due to inflow from around the turbine is described. Methods for providing configurations of a VAWT array based on a desired attribute of the array, using a low-order model when the array is subject to physical constraints are also described.

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28-03-2013 дата публикации

NEUROPSYCHOLOGICAL SPATIOTEMPORAL PATTERN RECOGNITION

Номер: US20130080127A1
Автор: Geva Amir B., Shahaf Goded
Принадлежит: Elminda Ltd.

Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base. 1. A method of constructing a flow pattern database , comprising:obtaining EEG and/or MEG signals from multiple subjects from one or more research groups for a behavioral process;identifying brain activity patterns for said behavioral process for said research groups using a counting method or method of calculating statistical significances of pairs;identifying a plurality of candidate pathways for said brain activity patterns;for each research group, defining a set of flow patterns among functional brain regions based on said candidate pathways, thereby constructing the flow pattern database.2. The method of claim 1 , further comprising claim 1 , prior to said definition of said set of flow patterns claim 1 , ranking said candidate pathways based on likelihood for said behavioral process claim 1 , and reducing the number of candidate pathways based on said ranking.3. The method of claim 2 , being performed iteratively wherein said reducing is based claim 2 , ...

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04-04-2013 дата публикации

DIGITAL DEVICE AND METHOD FOR MEASURING THE AXIAL LOAD OF A TORQUE-SHEAR-TYPE HIGH STRENGTH BOLT

Номер: US20130085686A1
Принадлежит: KOREA ELECTRIC POWER CORPORATION

The present invention relates to a digital device and a method for measuring the axial load of a torque-shear-type high strength bolt. One embodiment of the digital device of the present invention includes: a main body portion which is connected to an electromotive wrench fastening a torque-shear-type high strength bolt; a measurement portion disposed at the main body portion to measure the axial load of the torque-shear-type high strength bolt using a quantity of the electricity from the electromotive wrench; a power supply portion disposed at the main body portion and including a power lead-in portion for receiving an external power supply and a power lead-out portion for supplying power to the electromotive wrench; and a display portion displaying the axial force value measured by the measurement portion. 1. A digital device for measuring an axial load of a torque-shear-type high strength bolt , comprising:{'b': '100', 'a main body connected to an electromotive wrench fastening a torque-shear-type high strength bolt;'}{'b': 200', '100, 'a measuring unit disposed in the main body and measuring an axial load of the torque-shear-type high strength bolt based on a current amount of the electromotive wrench;'}{'b': 300', '100', '320', '340, 'a power supply formed in the main body and comprising a power lead-in portion for receiving power from outside and a power lead-out portion for supplying the power to the electromotive wrench; and'}{'b': 400', '200, 'a display unit displaying a measuring result of the axial load of the torque-shear-type high strength bolt measured by the measuring unit .'}2. The digital device according to claim 1 , further comprising:{'b': 120', '100', '200, 'an output unit formed in the main body and outputting data measured by the measuring unit to the outside.'}3. The digital device according to claim 1 , further comprising:{'b': 140', '100', '200, 'a connector formed in the main body and connected to a separate terminal such that the ...

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04-04-2013 дата публикации

DATA PROCESSING METHOD AND SYSTEM FOR CHECKING PIPELINE LEAKAGE

Номер: US20130085690A1

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 ...

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04-04-2013 дата публикации

Methods for estimating location using signal with varying signal speed

Номер: US20130085716A1
Принадлежит:

Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements. 1. A method to estimate at least one function of a probability distribution of at least one variable , where the variables consist of a primary function and arguments of said primary function , and where at least one said argument is a datum , and the data are separated into at least two groups and processed sequentially , comprising the steps of:(a) assigning prior bounds for said datum, said arguments, and said primary function;(b) assigning prior probability distributions within said prior bounds for all said arguments of said primary function;(c) generating realizations of said primary function from realizations of said arguments using Monte-Carlo technique;(d) determining at least one posterior bound among said realizations of said primary function and said arguments;(e) stopping the sequential processing when there are less than a minimum number of acceptable said realizations of said primary function within its said prior bounds;(f) stopping said sequential processing when at least one said posterior bound is inconsistent with at last one said prior bound;(g) determining at least one final bound after said data are sequentially processed; whereby at least one said function of said probability distribution of at least one said ...

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18-04-2013 дата публикации

Method and system for calculating breakpoints in a data visualization system

Номер: US20130094767A1
Автор: Andrew John Cardno
Принадлежит: Business Intelligence Solutions Safe BV

In a data visualization computing system, a computer implemented method of determining transition boundaries from data values in a data set for the generation of a graphical heatmap representation of the data values, the method including the steps of the data visualization computing system: retrieving the data values in the data set; determining a logarithmic base value, wherein the base value is calculated based on the retrieved data values; and generating transition boundaries for the heatmap representation by calculating transition boundary values, wherein the transition boundary values are calculated using an exponential function with a base value equal to the determined logarithmic base value and an exponent value that is incrementally increased from a value of one to a maximum exponent value to represent the retrieved data values.

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18-04-2013 дата публикации

CIRCUIT ARRANGEMENT AND METHOD FOR EVALUATING SIGNALS OF A CRANKSHAFT SENSOR AND OF A CAMSHAFT SENSOR OF AN INTERNAL COMBUSTION ENGINE

Номер: US20130096872A1
Автор: Boehl Eberhard
Принадлежит:

A circuit assemblage and a method for evaluating signals of a crankshaft sensor and of a camshaft sensor of an internal combustion engine are provided, the times at which the signals occur being evaluated. A position signal of a shaft of the internal combustion engine is formed from the times. Storage units are provided which simultaneously store the occurrence times of the signals of the crankshaft sensor and the occurrence times of signals of the camshaft sensor. A decision unit is provided as to whether the position signal is formed from the occurrence times of the signals of the crankshaft sensor or from the occurrence times of the signals of the camshaft sensor. 19-. (canceled)10. A circuit assemblage for evaluating signals of a crankshaft sensor and of a camshaft sensor of an internal combustion engine , comprising:means for detecting the times at which the signals occur, wherein a position signal of one of the crankshaft sensor and the camshaft sensor is determined based on the occurrence times of the signals;a storage unit which simultaneously stores the occurrence times of the signals of the crankshaft sensor and the occurrence times of the signals of the camshaft sensor;decision unit which decides whether the position signal is formed from the occurrence times of the signals of the crankshaft sensor or from the occurrence times of the signals of the camshaft sensor;a prediction unit which uses one of the stored occurrence times of the signals of the crankshaft sensor or the stored occurrence times of the signals of the camshaft sensor to predict an occurrence time in the future of a respective one of a signal of the crankshaft sensor or a signal of the camshaft sensor; anda calculation unit generating multiple counting pulses which, in sum, constitute the position signal, wherein the calculation unit is configured as a digital phase locked loop.11. The circuit assemblage as recited in claim 10 , wherein the decision unit includes a monitoring unit which ...

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18-04-2013 дата публикации

STATE INFERENCE IN A HETEROGENEOUS SYSTEM

Номер: US20130096878A1
Принадлежит: Valtion teknillinen tutkimuskeskus

The invention relates to inferring the state of a system of interest having a plurality of indicator values and possibly being heterogeneous in nature. A number of indicator values from a control state and from a comparison state are gathered. From these indicator values, classification power between the control and comparison states (measure of goodness) is computed. Difference values are computed for the indicator values from the system of interest based on the difference to the indicator values from control and comparison states. From a number of these indicators, composite indicators are formed, and composite measures of goodness and composite difference values are computed. A plurality of composite indicators may be formed at different levels. These indicators may be represented as a tree and grouped according to content, and at the same time they may be arranged according to the measure of goodness or some other value. The indicators, measures of goodness, and difference values may be visualized and shown to a user, who may use such a representation for inferring the state of the system. 124-. (canceled)25. A method in an apparatus for inferring a state of a system of interest , the method comprising the steps of:defining a first indicator and a second indicator in a system, where the values of the first indicator and the second indicator are indicative of the state of the system of interest;determining a measure of goodness for said first indicator and for said second indicator by using values of said first indicator and values of said second indicator, respectively, of a control state and a comparison state;determining a difference value for said first indicator and for said second indicator in a system of interest with reference to said first and second indicators in said control and comparison states;defining a composite indicator of said first indicator and said second indicator;determining a measure of goodness for the composite indicator by using ...

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18-04-2013 дата публикации

SYSTEMS AND METHODS FOR MONITORING AND PREDICTING USER PERFORMANCE

Номер: US20130096892A1
Принадлежит:

The embodiments described herein relate performance prediction systems and methods. According to some aspects there is provided a performance prediction system comprising at least one processor, the at least one processor being configured to: define a predictive model based upon a plurality of hypothesises for predicting learner performance, each hypothesis predicting learner performance based upon at least one learner engagement activity; monitor a plurality of the learner engagement activities associated with the user identifier for that user to obtain learner engagement values for each of the learner engagement activities; generate at least one performance prediction value for each hypothesis based upon the learner engagement values associated with the hypothesis; and combine the performance prediction values for the plurality of the hypothesises to generate a combined performance prediction value for that learner. 1. A computer-implemented method for predicting performance of at least one learner , the method comprising: (i) defining a predictive model based upon a plurality of hypothesises for predicting learner performance, each hypothesis predicting learner performance based upon at least one learner engagement activity;', '(ii) monitoring a plurality of the learner engagement activities associated with the user identifier for that user to obtain learner engagement values for each of the learner engagement activities;', '(iii) generating at least one performance prediction value for each hypothesis based upon the learner engagement values associated with the hypothesis; and', '(iv) combining the performance prediction values for the plurality of the hypothesises to generate a combined performance prediction value for the learner., '(a) for each learner having a user identifier associated therewith2. The method of claim 1 , wherein determining the at least one prediction value for each hypothesis comprises:(i) obtaining historical values for the plurality of ...

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25-04-2013 дата публикации

METHODS AND APPARATUSES FOR CONTROLLING INVOCATION OF A SENSOR

Номер: US20130103348A1
Принадлежит: Nokia Corporation

Methods and apparatuses are provided for controlling invocation of a sensor. A method may include accessing a context probability model generated based at least in part on historical context data. The method may further include using the context probability model to determine a probability that a context indicated by an output of a sensor will differ from a context indicated by a previous output of the sensor. The determination may be made based at least in part on observed context information. The method may additionally include controlling invocation of the sensor based at least in part on the determined probability. Corresponding apparatuses are also provided. 1. A method comprising:accessing a context probability model generated based at least in part on historical context data;using the context probability model to determine a probability that a context indicated by an output of a sensor will differ from a context indicated by a previous output of the sensor, the determination being made based at least in part on observed context information; andcontrolling invocation of the sensor based at least in part on the determined probability.2. The method according to claim 1 , wherein controlling invocation of the sensor comprises:determining a sampling rate for the sensor based at least in part on the determined probability; andcontrolling invocation of the sensor in accordance with the determined sampling rate.3. The method according to claim 2 , wherein determining a sampling rate for the sensor comprises determining the sampling rate further based on a constant value.4. The method according to claim 3 , wherein the constant value comprises a default sampling rate for the sensor.5. The method according to claim 1 , wherein controlling invocation of the sensor comprises:determining whether to invoke the sensor based at least in part on the determined probability.6. The method according to claim 5 , wherein determining whether to invoke the sensor comprises: ...

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02-05-2013 дата публикации

SYSTEM AND METHOD FOR PREDICTING AND PREVENTING FLOODING

Номер: US20130110399A1
Автор: MOSS Ian, Tremblay Robert
Принадлежит: INSURANCE BUREAU OF CANADA

A system and method for predicting and estimating risk of flooding in a geographical area of a municipality comprising determining a score representative of a risk of a flooding event to occur in the geographical area based on at least one climate variable and on an observation variable of the geographical area. 1. A method of estimating risk of a future water damage event in at least one geographical area , the method comprising:selecting at least one observation variable, the at least one observation variable having at least one set of values recorded for the at least one geographical area over a period of time that includes a past water damage event, the at least one observation variable influencing flooding in the at least one geographical area;selecting at least one climate variable, the at least one climate variable having at least one value for the at least one geographical area, the at least one climate variable influencing the water damage event in the at least one geographical area; anddetermining for the at least one geographical area a flood risk score representative of the risk of the future water damage event to occur based on the at least one observation variable and the at least one climate variable.2. The method of claim 1 , wherein the method is carried out in a plurality of geographical areas in a municipality.3. The method of claim 1 , wherein the at least one observation variable is selected from a combined sewer density claim 1 , an average age of a combined sewer claim 1 , a hydrodynamic slope claim 1 , a building count claim 1 , a building area claim 1 , a land use claim 1 , a soil type claim 1 , a soil permeability claim 1 , a vegetation cover claim 1 , a slope claim 1 , and a tree cover terrain slope.4. The method of claim 1 , wherein more than one observation variable is selected.5. The method of claim 1 , wherein the at least one climate variable is obtained from an intensity claim 1 , duration and frequency of precipitation in the at ...

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02-05-2013 дата публикации

DETERMINING VARIANTS IN GENOME OF A HETEROGENEOUS SAMPLE

Номер: US20130110407A1
Принадлежит: Complete Genomics, Inc.

After DNA fragments are sequenced and mapped to a reference, various hypotheses for the sequences in a variant region can be scored to find which sequence hypotheses are more likely. A hypothesis can include a specific variable fraction for the plurality of alleles that comprise the sequence hypothesis in the region. A likelihood of each hypothesis can be determined using a probability that accounts for the fraction of the alleles specified in the respective sequence hypothesis. Thus, other hypotheses besides standard homozygous and equal heterozygous (i.e., one chromosome with A and one with B in a cell) can be explored by explicitly including the variable fractions of the alleles as a parameter in the optimization. Also, a variant score can be determined for a variant relative to a reference. The variant score can be used to determine a variant calibrated score indicating a likelihood that the variant call is correct. 1. A method of determining one or more variants between a reference genome and a sample genome of a biological sample from a diploid organism , the method comprising:receiving reads of the sample genome and mappings of the reads to the reference genome, wherein the reads are obtained from a sequencing of a plurality of genomic fragments from the biological sample;identifying a first region of the sample genome, the first region having a first likelihood of including one or more variants relative to a corresponding region in the reference genome, the first likelihood being above a first threshold;determining a starting hypothesis of the sample genome in the first region;based on the starting hypothesis, generating a group of hypotheses, each of the sample genome in the first region, wherein at least one of the group of hypotheses includes a plurality of alleles and a respective allele fraction corresponding to each of the plurality of alleles; 'computing a probability score for the hypothesis using a probability function, the probability function ...

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02-05-2013 дата публикации

LEAK ESTIMATION USING LEAK MODEL IDENTIFICATION

Номер: US20130110416A1
Автор: Hill Peter Douglas
Принадлежит: KONINKLIJKE PHILIPS ELECTRONICS N.V.

A method of determining an estimated leak flow Qin a gas delivery system is provided that includes determining for each of N breaths (N>1): (i) an average total flow Formula (I) of the gas delivery system, and (ii) M values of Formula (II) (M>1) using M γ values, wherein each P is a leak pressure of the gas delivery system and each γ value is an integer or non-integer real number, determining which one of the γ values results in a minimum variation of the values of a coefficient g over the N breaths, wherein for each breath and each γ value the coefficient g is determined by Formula and determining the estimated leak flow Qusing at least the determined one of the γ values. 150. A method of determining an estimated leak flow Qin a gas delivery system () , comprising:{'o': [{'@ostyle': 'single', 'sub': 'tot', 'Q'}, {'@ostyle': 'single', 'sup': 'γ', 'P'}], 'determining for each of N breaths (N>1): (i) an average total flow of the gas delivery system, and (ii) M values of (M>1) using M γ values, wherein each P is a leak pressure of the gas delivery system and each γ value is an integer or non-integer real number;'}{'o': [{'@ostyle': 'single', 'sub': 'tot', 'Q'}, {'@ostyle': 'single', 'sup': 'γ', 'P'}], 'determining which one of the γ values results in a minimum variation of the values of a coefficient g over the N breaths, wherein for each breath and each γ value the coefficient g is determined by g= / ; and'}{'sub': 'est', 'determining the estimated leak flow Qusing at least the determined one of the γ values.'}2. The method according to claim 1 , wherein the determining the estimated leak flow Qcomprises determining a particular coefficient g using the determined one of the γ values claim 1 , and determining the estimated leak flow Qusing the determined one of the γ values and the particular coefficient g.3. The method according to claim 2 , wherein the determining a particular coefficient g using the determined one of the γ values comprises averaging each of the ...

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02-05-2013 дата публикации

METHOD OF IDENTIFYING MATERIALS FROM MULTI-ENERGY X-RAYS

Номер: US20130110438A1

A calibration method for a device for identifying materials using X-rays, including: a) determining at least one calibration material and, for each calibration material, at least one calibration thickness of this material, b) measuring, for each of the calibration materials and for each of the selected calibration thicknesses, attenuation or transmission coefficients for X radiation, c) calculating statistical parameters from the coefficients, d) determining or calculating, for each calibration material and for each calibration thickness, a presence probability distribution law, as a function of the statistical parameters. 122-. (canceled)23. A calibration method for a device for identifying materials using X-rays , comprising:a) determining at least one calibration material (i) and, for each calibration material, at least one calibration thickness (j) of this material;{'sub': 'K', 'b) measuring, for each of the calibration materials and for each of the selected calibration thicknesses, N attenuation or transmission coefficients αfor X radiation, with N≧2;'}{'sub': p', 'K;, 'c) setting up a vector {right arrow over (α)}, said vector representing N attenuation or attenuation coefficients α'}{'sub': 'p', 'd) repeating operations b) and c), with said calibration material, so that L vectors αare obtained, L representing the number of measurements done with a same calibration material having material i and thickness j;'}{'sub': 'p', 'e) calculating statistical parameters from said L vectors α;'}f) determining or calculating, from said statistical parameters, a presence probability distribution law fij, as a function of said statistical parameters, said presence probability distribution depending on said calibration material.24. The method according to claim 23 , wherein L is between 100 and several thousands.25. The method according to claim 23 , wherein said presence probability distribution law f is a density probability fij depending on the calibration material of ...

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02-05-2013 дата публикации

Methods and systems for predicting an optical fiber performance parameter

Номер: US20130110463A1
Автор: John A. Fee
Принадлежит: VERIZON BUSINESS GLOBAL LLC

A method for predicting polarization mode dispersion (PMD) in an installed optical fiber. Values of PMD are measured for a first optical fiber at various points in time during the manufacture and installation of the first optical fiber. Values of PMD are identified that correspond to sensitive ones of the various points in time. A set of correlation coefficients is calculated based on the values of PMD corresponding to the sensitive ones of the various points in time. An installed value of PMD for a second optical fiber is predicted based on the set of correlation coefficients.

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09-05-2013 дата публикации

USING PHASE MATCHED FILTERS FOR NQR DETECTION OF CONTINUOUS RABI TRANSITIONS

Номер: US20130116932A1
Принадлежит:

Nuclear quadrupole resonance measurement using two or more wire loop(s) within a space to define a portal, and driving the wire loop(s) with a baseband digital transmitter generating a chirped or stepped signal, to create a corresponding varying electromagnetic field within the portal. Coherent emissions reflected thereby are detected through a directional coupler feeding the transceiver. The detected coherent emissions are processed with a matched filter to determine presence of a target object within the portal. 1. A method for detecting a substance comprising:disposing at least one conductive surface to define a space;disposing two or more wire loops within the space adjacent the conductive surface;driving the wire loops with a first radio frequency signal, the first radio frequency signal creating a time varying electromagnetic field within the space;{'sub': 'EMPTY', 'receiving emissions as a result of stimulating the space with the first signal, and storing information corresponding to the received emissions resulting thereby as a set of reference points, V;'}placing a substance within the space;driving the wire loops with a second radio frequency signal to create a time varying electromagnetic field within the space, the time varying electromagnetic field thereby stimulating nuclear quadrupole resonance in the substance located in the space;{'sub': 'SIG', 'receiving emissions as a result of stimulating the substance with the second signal and storing information corresponding to the received emissions as a set of signal points, V;'}{'sub': EMPTY', 'EMPTY, 'averaging the reference points Vto determine a start point and stop point of a reference line, L;'}{'sub': SIG', 'SIG, 'averaging the signal points Vto determine a start point and stop point of a signal line, L; and'}further processing subsequent coherent emissions from the substance.2. The method of wherein step of further processing determines a difference between (a) a difference between Vand LV and (b) a ...

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09-05-2013 дата публикации

INDEXED OPTICAL ENCODER, METHOD FOR INDEXING AN OPTICAL ENCODER, AND METHOD FOR DYNAMICALLY ADJUSTING GAIN AND OFFSET IN AN OPTICAL ENCODER

Номер: US20130116959A1
Автор: York Frederick
Принадлежит: FARO TECHNOLOGIES, INC.

An optical encoder may include an encoder disk, an illumination system, and a detector to detect light diffracted from the encoder disk. The encoder disk may include a signal track comprising a diffraction grating, and an index track comprising a reflective index mark, wherein a width of the index mark is larger than a pitch of the diffraction grating. An indexing method may include providing an encoder disk, providing an illumination system to direct light to the encoder disk, providing a detector structured to detect light diffracted from the encoder disk, calculating an estimated count of quadrature states from a rising edge of an index pulse to a middle of the index interval, and calculating the quadrature state at an approximate center of the index pulse. A dynamic parameter correction method may include calculating a target gain and offset and correcting values based on the target gain and offset. 1. A method of dynamically adjusting gain and offset in an optical encoder , the method comprising:providing an encoder disk comprising a diffraction grating;illuminating the encoder disk with light;providing a detector structured to detect light diffracted from the diffraction grating and output a first fine count channel;calculating a first target gain and first target offset for the first fine count channel; andapplying a correction to data sampled from the first fine count channel based on the first target gain and first target offset; determining a minimum value and maximum value in a set of data from the first fine count channel;', 'calculating a moving average minimum based on the minimum value and minimum values from a plurality of prior sets of data from the first fine count channel;', 'calculating a moving average maximum based on the maximum value and maximum values from the plurality of prior sets of data from the first fine count channel;', {'sub': cal', 'A', 'A', 'cal', 'A', 'A, 'calculating the first target gain according to the equation G=(ave_max− ...

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16-05-2013 дата публикации

METHOD FOR USING MULTI-GAUSSIAN MAXIMUM-LIKELIHOOD CLUSTERING AND LIMITED CORE POROSITY DATA IN A CLOUD TRANSFORM GEOSTATISTICAL METHOD

Номер: US20130124167A1
Автор: Thorne Julian
Принадлежит: Chevron U.S.A. INC.

A method of modeling porosity and permeability in a subsurface region includes modeling a sparse data set as a mixture of Gaussian distributions, each with a cluster center in permeability-porosity space using permeability-porosity covariance. A number and location of cluster centers as well as covariances and probabilities of each cluster are derived using an interative maximum-likelihood algorithm. 1. A method of modeling a pair of related properties of a subsurface region comprising:obtaining data representative of the properties of the subsurface region;applying weights to the data;selecting parameters for the modeling, the parameters including a maximum number of clusters, a random seed and a number of points in an output cloud;solving for a number and location of cluster centers, covariances and probabilities for each cluster by use of a maximum-likelihood algorithm to produce a maximum-likelihood model; andsampling from the maximum-likelihood model with a probability given by a joint multi-variate Gaussian distribution.2. A method as in claim 1 , wherein prior to the solving claim 1 , data relating to at least one of the properties is transformed to a lograrithmic representation thereof.3. A method as in or claim 1 , wherein after the sampling claim 1 , the model is post-processed to produce a uniform density along an axis of one of the properties.43. A method as in any of - claims 1 , wherein the properties comprise porosity and permeability.5. A system for modeling a pair of related properties of a subsurface region comprising:a data storage device having machine readable data representative of the properties of the subsurface region; anda processor in communication with the data storage device, the processor being configured and arranged to:apply weights to the data;select parameters for the modeling, the parameters including a maximum number of clusters, a random seed and a number of points in an output cloud;solve for number and location of cluster ...

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23-05-2013 дата публикации

APPARATUS AND COMPUTER READABLE MEDIUM FOR DETERMINING WELL CHARACTERISTICS AND PORE ARCHITECTURE UTILIZING CONVENTIONAL WELL LOGS

Номер: US20130131989A1
Принадлежит: Saudi Arabian Oil Company

Apparatus, computer readable media, method and program code for determining well characterstics and pore architecture for a hydrocarbon well utilizing data available from conventional/standard electronic well logs, are provided. An example apparatus is configured to perform operations which include determining the value of well constants from well log data to include calculating water saturation, free water level location, wettability, and pore throat heterogeneity, and calculating/pore architecture at log resolution responsive thereto. This can be accomplished, for example, by accessing well log data from a conventional well log, determining a linear regression line responsive to parameters calculated from the well log data, the linear regression line having a slope and an intercept, and determining a value of each of a plurality of well constants responsive to a value of the slope and of the intercept of the linear regression line. 1. Non-transitory computer readable medium having processor readable code embodied on the computer readable medium , the processor readable code for programming one or more processors to perform the operations of determining well characteristics and pore architecture for a well , the operations comprising:accessing well log data from a well log for a well, the well log data including permeability, porosity, and free water level height;determining a linear regression line responsive to parameters calculated from the well log data, the linear regression line having a slope and an intercept; anddetermining a value of each of a plurality of well constants responsive to a value of the slope and of the intercept of the linear regression line, the well constants comprising free water level location, average pore throat heterogeneity, and average wettability.2. Non-transitory computer readable medium as defined in claim 1 , wherein the operation of determining a linear regression line comprises:determining a best match linear regression line by ...

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23-05-2013 дата публикации

SYSTEMS AND METHODS FOR APPLYING DATA MAPPING TECHNIQUES TO ASSESSMENT AND DIAGNOSTIC TEST RESULTS

Номер: US20130132029A1
Принадлежит: Pulsar Informatics, Inc.

Systems and methods for analyzing the results of a diagnostic-assessment test result of a subject with respect to those of a comparison population or subpopulation of interest are disclosed. A first set of testing conditions and/or demographic characteristics and their corresponding values are used optionally to identify a subpopulation of interest and select appropriate data from a general-population database. A second (and optionally a third) set of testing conditions and/or demographic characteristics (which may optionally be identical to the first) are then used to project either or both of the subject's test score or the test scores for the population or optional subpopulation of interest to a common basis of testing conditions and/or demographic characteristics using one or more projection functions specific to the testing condition and/or demographic characteristic, as applied to a particular test. A metric of comparison is then determined for the testing subject with this projected data. 1. A method using a computer for determining a metric of comparison between a diagnostic-assessment test score for a subject and diagnostic-assessment test scores for a comparison population of interest , the method comprising:receiving, at a computer, test score data for a subject, the test score data for the subject comprising one or more test scores and one or more of: one or more testing condition values and one or more demographic characteristic values, wherein the one or more test scores are indicative of results of a diagnostic-assessment test applied to the subject under the one or more testing conditions, and wherein the one or more demographic characteristics are descriptive of the subject;receiving, at the computer, a first set of one or more projection variables and a target value range corresponding to each of the one or more projection variables, each projection variable and corresponding value range defining a testing condition value range or a demographic ...

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23-05-2013 дата публикации

Apparatus and Method for Automatically Generating a Deterministric Target Differential Equation System

Номер: US20130132031A1
Принадлежит:

An apparatus and method are provided for automatically generating a deterministic target differential equation system for evaluating an output differential equation system with stochastic input parameters with a device for providing a weighted sum of orthogonal basic functions inserted into the output differential equation system, which forms a stochastic random variable. A multiplication device for multiplying the output differential equation system by the orthogonal basic functions and an integration device for integrating the output differential equation system which is multiplied by the orthogonal basic functions to generate the deterministic target differential equation system are provided. A control device calculates stochastic output parameters based on the deterministic target differential equation system generated and accordingly controls a mechanical or electronic adjustment element. The apparatus may be suitable for use in a robust regulating and control circuit for regulating an installation, e.g., a chemical reaction installation, e.g., to minimize harmful exhaust gas substances. 1. A method for automatically evaluating a deterministic target differential equation system for a control device of a technical system that can be described by an output differential equation system having stochastic and non-stochastic input parameters , the method comprising:a) determining a probability distribution of the stochastic input parameters based on measurements of a measuring device;b) selecting a set of basic functions from a basic function memory depending on the determined probability distribution;c) deriving a mask vector having expected values and standard deviations of the determined probability distribution;d) a calculation unit automatically calculating a weighted sum of the basic functions, wherein the weighted sum is weighted using the mask vector;e) the calculation unit automatically inserting the weighted sum of the basic functions into the output ...

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30-05-2013 дата публикации

METHOD AND SYSTEM FOR DETECTING REGULATORY SINGLE NUCLEOTIDE POLYMORPHISMS

Номер: US20130138353A1
Принадлежит:

A computer-implemented method for detecting a regulatory single nucleotide polymorphism (rSNP). The method comprises determining a first score representative of a transcription factor binding affinity of a first allele, and a second score representative of a transcription factor binding affinity of a second allele. The first and second alleles are associated with a single nucleotide polymorphism (SNP), and the first score differs from the second score representing a change in the transcription factor binding affinity. A statistical significance value of the change in transcription factor binding affinity represented by the first score and the second score is then determined and compared with a threshold to determine whether the SNP is an rSNP. This disclosure also concerns a computer system and a computer program for detecting a regulatory single nucleotide polymorphism (rSNP). 1. A computer-implemented method for detecting a regulatory single nucleotide polymorphism (rSNP) , comprising:(a) determining a first score representative of a transcription factor binding affinity of a first allele, and a second score representative of a transcription factor binding affinity of a second allele,wherein the first and second alleles are associated with a single nucleotide polymorphism (SNP), and the first score differs from the second score representing a change in the transcription factor binding affinity;(b) determining a statistical significance value of the change in transcription factor binding affinity represented by the first score and the second score; and(c) comparing the statistical significance value with a threshold to determine whether the SNP is an rSNP.2. The method of claim 1 , wherein the statistical significance value of the change in transcription factor binding affinity in step (b) represents a statistical significance of observing a ratio between a statistical significance value of the first score and a statistical significance value of the second score.3. ...

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30-05-2013 дата публикации

METHOD FOR DETECTING FALLS AND A FALL DETECTOR

Номер: US20130138395A1
Принадлежит: KONINKLIJKE PHILIPS ELECTRONICS N.V.

A method for detecting a fall by a user is provided that comprises a method of detecting a fall by a user, the method comprising processing measurements obtained from one or more sensors to extract a respective value for a plurality of features associated with a fall; determining a respective log likelihood ratio for each of said values; and determining whether the user has fallen based on the determined log likelihood ratios. 1. A method of detecting a fall by a user , the method comprising:processing measurements obtained from one or more sensors to extract a respective value for a plurality of features associated with a fall;determining a respective log likelihood ratio for each of said values; anddetermining whether the user has fallen based on the determined log likelihood ratios.2. A method as claimed in claim 1 , wherein the step of determining whether the user has fallen comprises determining whether the user has fallen based on a sum of the log likelihood ratios for each of said extracted values.3. A method as claimed in claim 2 , wherein the step of determining whether the user has fallen comprises determining whether the user has fallen based on a weighted sum of the log likelihood ratios for each of said extracted values.4. A method as claimed in claim 2 , wherein the step of determining whether the user has fallen comprises comparing the sum of the determined log likelihood ratios to a detection threshold.5. A method as claimed in claim 4 , wherein the step of determining whether the user has fallen comprises determining that the user has fallen in the event that the sum of the determined log likelihood ratios is greater than the threshold claim 4 , and that the user has not fallen in the event that the sum of the determined log likelihood ratios is less than the threshold.6. A method as claimed in claim 1 , wherein the step of determining a log likelihood ratio comprises using said value to look up the log likelihood ratio in a table.7. A method as ...

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30-05-2013 дата публикации

SYSTEM AND METHOD FOR MONITORING AND MANAGING UTILITY DEVICES

Номер: US20130138396A1
Принадлежит:

A system and method for monitoring and managing utility devices is provided where performance data for each utility device is compared against performance criteria. A deficiency value is assigned to each utility device based on the comparison, and a composite deficiency surface is generated based on the deficiency values. The areas of the composite deficiency surface are classified into deficiency classes. A particular area on the composite deficiency surface associated with a particular deficiency class is identified, and a priority index for the identified area is determined based on the particular deficiency value. One or more of the identified areas of the composite deficiency surface are classified into one or more construction projects based on the priority index for the corresponding area, and at least one of the one or more construction projects is recommended to a user. 1. A method for monitoring and managing a plurality of utility devices installed throughout a geographic area , the method comprising:receiving performance data for each of the plurality of utility devices;comparing the performance data against one or more performance criteria;assigning a deficiency value to each of the plurality of utility devices based on the comparison;generating a composite deficiency surface based on the deficiency values of the plurality of utility devices;classifying one or more areas of the composite deficiency surface into one or more deficiency classes, wherein each of the one or more deficiency classes is associated with a range of deficiency values;identifying a particular area on the composite deficiency surface associated with a particular deficiency class;determining a priority index for the identified area based on the particular deficiency value;classifying one or more of the identified areas of the composite deficiency surface into one or more construction projects based on the priority index for the corresponding area; andrecommending at least one of the ...

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30-05-2013 дата публикации

METHOD AND MODEL FOR MONITORING PRETREATMENT PROCESS OF LOW-K BLOCK LAYER

Номер: US20130138415A1

The present invention provides a method and model for monitoring the pretreatment process of a low-k block layer. The method comprises measuring film parameters of the film formed on the silicon substrate after applying the pretreatment process for different time periods; creating a statistical process control curve according to the film parameters; setting a SPC control limit; determining the pretreatment process normal when the data point of measurement in the SPC curve is within the control limit while determining the pretreatment process abnormal when the data point of measurement in the SPC curve exceeds the control limit. According to the present invention, the failure of the pretreatment process can be prevented to improve the product reliability and stability. 1. A method for monitoring the pretreatment process of a low-k block layer comprising:measuring the film parameters of the film formed on a silicon substrate after applying the pretreatment process for different time periods;creating a statistical process control curve according to the film parameters;setting a control limit for the statistical process control curve;determining the pretreatment process normal when the data point of measurement in the statistical process control curve is within the control limit while determining the pretreatment process abnormal when the data point of measurement in the statistical control curve exceeds the control limit.2. The method according to claim 1 , wherein the film parameter is the film thickness of the silicon nitride film formed on the silicon substrate after applying the pretreatment process.3. The method according to claim 1 , wherein the pretreatment process comprises:utilizing ammonia to react with the silicon substrate under plasma environment to form the silicon nitride film on the silicon substrate.4. The method according to claim 1 , wherein the low-k block layer is a nitrogen-doped carbon film.5. The method according to claim 1 , wherein the ...

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06-06-2013 дата публикации

AUTOMATED HYPOTHESIS TESTING

Номер: US20130144555A1
Автор: Hathaway William M.
Принадлежит: MORESTEAM.COM LLC

A method of automatically applying a hypothesis test to a data set. The method reduces errors made in failing to appreciate predicate assumptions of various statistical tests, and elicits a series of indications from the user regarding characteristics of interest embodied by the data set to select an appropriate statistical test. The system also reduces errors in constructing competing null and alternative hypothesis statements by generating a characterization of the data and defining null and alternative hypotheses according to the indications, selected statistical test, and conventions adopted with respect to the tests. The system also establishes a significance level, calculates the test statistic, and generates an output. The output of the system provides a plain interpretation of the quantitative results in the terms indicated by the user to reduce errors in interpretation of the conclusion. 1. A method of selecting a hypothesis test to be applied to at least one data set using a display , an input device , and a processor , the method comprising:providing on the display a description, understandable by a user unfamiliar with statistical analysis, of a plurality of data types;providing on the display a description, understandable by a user unfamiliar with statistical analysis, of a plurality of statistical parameters of interest;providing on the display a description, understandable by a user unfamiliar with statistical analysis, of a plurality of sample sizes;receiving from an input device an indication of the data type of the one or more data sets;receiving from the input device an indication of which of the plurality of statistical parameters of interest is to be tested;receiving from the input device an indication of the sample size of the one or more data sets;selecting a test to execute based on received indications; andexecuting, by the processor, the selected test.2. The method of claim 1 , wherein the processor is remote from the display and the input ...

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13-06-2013 дата публикации

AUTOMATED PERFORMANCE MEASUREMENT PROCESSES AND SYSTEMS

Номер: US20130151197A1
Принадлежит: GENERAL ELECTRIC COMPANY

Certain examples provide methods and systems to monitor performance. An example method includes triggering automated execution of one or more applications on one or more medical servers according to a selected template providing data for application execution. The example method includes monitoring the execution of the one or more applications to collect application execution information. The example method includes generating one or more log files based on the monitoring of the execution. The example method includes invoking a monitoring tool to process the log files and to provide statistical analysis regarding performance. The example method includes creating a report based on the statistical analysis. 1. A computer-implemented method to monitor performance , the method comprising:triggering automated execution of one or more applications on one or more medical servers according to a selected template providing data for application execution;monitoring the execution of the one or more applications to collect application execution information;generating one or more log files based on the monitoring of the execution;invoking a monitoring tool to process the log files and to provide statistical analysis regarding performance; andcreating a report based on the statistical analysis.2. The method of claim 1 , wherein the method is facilitated via a single automated script.3. The method of claim 1 , wherein the report comprises a performance matrix report organized by product and feature.4. The method of claim 1 , wherein the one or more medical servers comprise one or more of a picture archiving and communication system claim 1 , a cardiovascular information system claim 1 , and an electronic medical record system.5. The method of claim 1 , further comprising restarting the one or more medical servers prior to triggering execution of the one or more applications.6. The method of claim 5 , further comprising repeating the process one or more times beginning with ...

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13-06-2013 дата публикации

METHOD AND SYSTEM FOR DETERMINATION OF DETECTION PROBABILITY OF A TARGET OBJECT BASED ON A RANGE

Номер: US20130151198A1
Автор: Brown Jerry G.
Принадлежит:

A simulation system for predicting a likelihood of whether a target object positioned in an environment will be detected by a detection system when illuminated by a laser source. The simulation system may be used for a laser rangefinder application and a laser designator application. The simulation system may provide a detection probability of the target object at a specified range to the detection system or a plurality of detection probabilities as a function of the range to the detection system. The simulation system may provide an indication of an overlap of the beam provided by the laser source on the target object. The simulation system may determine the effect of vibration on the detection of the target object at a specified range. 110.-. (canceled)11. A method of operating a target locator system having a laser source , the method comprising the steps of:receiving at least one target characteristic of a target object which is to be illuminated by laser energy from the laser source;receiving at least one detector characteristic of a detector of a detection system which is to be detecting the laser energy from the laser source reflected by the target object;receiving at least one environment characteristic of an environment surrounding the target object;receiving a first range relative to the target object; andautomatically determining with a computer processor based on the at least one target characteristic, the at least one detector characteristic, the at least one environment characteristic, and the first range a probability of detection of the target object illuminated by the laser source at a first power level with the detection system at the first range.12. The method of claim 11 , further comprising the step of adjusting the power level of the laser source based on the probability of detection being below a threshold value.13. The method of claim 12 , wherein the at least one target characteristic claim 12 , the at least one detector characteristic claim ...

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20-06-2013 дата публикации

CONTINUOUS AIR MONITORS

Номер: US20130158888A1
Автор: Jones Morgan
Принадлежит: AWE

The invention provides for a continuous air monitor for detecting Alpha emitting radionuclides. The monitor measures and records the energy of each detected Alpha count in one of a plurality of channels and compensates for counts due to the presence of Radon. It does this by carrying out a channel by channel statistical test comparing the measured count in each channel to the expected count due to radon daughter products, and determining if any deviation from the expected count is statistically significant. 1. A continuous air monitor for detecting Alpha emitting radionuclides wherein the monitor measures and records the energy of each detected Alpha count in one of a plurality of channels and compensates for counts due to the presence of Radon by carrying out a channel by channel statistical test comparing the measured count in each channel to the expected count due to radon daughter products , and determining if any deviation from the expected count is statistically significant.2. A continuous air monitor as described in wherein the monitor carries out a rolling multi-channel test to determine if an Alpha release has occurred.3. A continuous air monitor as described in in which the statistically test is a Currie critical limit test.4. A continuous air monitor as described in wherein the monitor measures and records a predetermined total number of counts.5. A continuous air monitor as described in wherein the deposited energy in the detector is corrected according to the Bethe-Bloch equation in order to compensate for loss of energy of the Alpha particle across the air gap within the Monitor.6. A method of compensating for the presence of Radon gas in a Continuous Air Monitor comprising the steps of; recording the energy of each detected Alpha count in one of a plurality of channels claim 1 , carrying out a channel by channel statistical test comparing the measured count in each channel to the expected count due to radon daughter products claim 1 , and determining ...

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20-06-2013 дата публикации

Method and System for Detecting Transients in Power Grids

Номер: US20130158903A1

Conditions in a power grid are detected by sampling a voltage in the grid. A normal condition hypothesis is modeled as a sinusoid, and a transient condition hypothesis is modeled as a sum of damped sinusoids. The samples are used to construct probability density function. A likelihood ratio based on the pdf and the hypotheses is compared to a threshold to determine whether the condition is normal or transient. 1. A method for detecting a condition in a power grid , comprising the steps of:modeling a normal condition hypothesis as a sinusoid, and a transient condition hypothesis as a sum of damped sinusoids;constructing a probability density function (pdf) from voltage samples in the grid; andcomparing a likelihood ratio based on the pdf and the hypotheses to a threshold to determine the condition, wherein the steps are performed in a processor.2. The method of claim 1 , further comprising:connecting devices to the grid power according to the condition.3. The method of claim 1 , wherein the voltage is 1-phase or 3-phase.4. The method of claim 1 , further comprising:analyzing the samples in a stochastic detector to fit the samples to the pdf.5. The method of claim 1 , wherein the samples include normal samples and transient samples claim 1 , and the normal condition hypothesis is H:y=ae claim 1 , and the transient condition hypothesis is H:y=Ca claim 1 , where y is a voltage claim 1 , a is an amplitude claim 1 , e is a frequency of each normal sample claim 1 , and C is a full rank Vandermonde matrix of the frequencies claim 1 , damping factors and sinusoids for the transient samples.6. The method of claim 5 , further comprising:{'sub': '0', 'estimating a, a, e, and C using estimation of signal parameters via rotational invariance techniques (ESPRIT).'}7. The method of claim 1 , wherein the comparing further comprises:determining a likelihood ratio of the normal pdf and the transient pdf; andthresholding the likelihood ratio.8. The method of claim 5 , further ...

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20-06-2013 дата публикации

BATTERY ABNORMALITY PREDICTION SYSTEM

Номер: US20130158917A1
Автор: Uchida Masataka
Принадлежит: MITSUBISHI HEAVY INDUSTRIES, LTD.

A battery abnormality prediction system includes a normal range determination unit which acquires parameter values representing the states of a plurality of unit cells (to -(where n is a natural number equal to or greater than 2)) and determines whether or not the acquired parameter values are normal values, a statistical processing unit which sorts a plurality of parameter values determined to be normal values into ranges divided at predetermined intervals and performs statistical processing on the sorted parameter values, and a state determination unit which determines the states of the plurality of unit cells based on the result of the statistical processing in the statistical processing unit and determines whether or not the plurality of unit cells are in a state of being able to transit from a normal state to an abnormal state based on the determination result. 1. A battery abnormality prediction system comprising:a normal range determination unit which acquires parameter values representing the states of a plurality of unit cells and determines whether or not the acquired parameter values are normal values;a statistical processing unit which sorts a plurality of parameter values determined to be normal values in ranges divided at predetermined intervals and performs statistical processing on the sorted parameter values; anda state determination unit which determines the states of the plurality of unit cells based on the result of the statistical processing in the statistical processing unit and determines whether or not the plurality of unit cells are in a state of being able to transit from a normal state to an abnormal state based on the determination result.2. The battery abnormality prediction system according to claim 1 , wherein the statistical processing unit generates a frequency distribution based on the plurality of acquired parameter values and the divided ranges claim 1 , andthe state determination unit determines the state of the frequency ...

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20-06-2013 дата публикации

METHODS AND APPARATUS FOR ANALYZING TEST DATA IN DETERMINING THE EFFECT OF DRUG TREATMENTS

Номер: US20130158951A1
Автор: JIN Xidong, MUIR Timothy
Принадлежит: BOEHRINGER INGELHEIM INTERNATIONAL GMBH

Methods and apparatus provide for: receiving pre-clinical data measured during drug treatment of a plurality of mammals including at least two treatment groups; performing at least one EXACT, non-parametric, statistical hypothesis test comparing the pre-clinical data for the at least two treatment groups; and performing a Multiple Comparison Procedure (MCP) on the pre-clinical data for at least two comparisons, where the EXACT, non-parametric, statistical hypothesis test and the MCP are conducted on the pre-clinical data to produce one or more p-values, each p-value representing whether an associated one of the treatment groups has experienced a statistically significant improvement or decline in one or more conditions of the mammals associated with the treatment. 1. A method , comprising:receiving pre-clinical data measured during drug treatment of a plurality of mammals including at least two treatment groups;performing at least one EXACT, non-parametric, statistical hypothesis test comparing the pre-clinical data for the at least two treatment groups; andperforming a Multiple Comparison Procedure (MCP) on a result of the EXACT, non-parametric, statistical hypothesis test for at least two comparisons resulting from comparing the pre-clinical data,wherein the EXACT, non-parametric, statistical hypothesis test and the MCP are conducted to produce one or more p-values, each p-value representing whether an associated one of the treatment groups has experienced a statistically significant improvement or decline in one or more conditions of the mammals associated with the treatment.2. The method of claim 1 , wherein the EXACT claim 1 , non-parametric claim 1 , statistical hypothesis test is taken from the group consisting of: the EXACT Mann-Whitney test claim 1 , and the EXACT Kruskal-Wallis test.3. The method of claim 1 , wherein the EXACT claim 1 , non-parametric claim 1 , statistical hypothesis test is the EXACT Mann-Whitney test.4. The method of claim 1 , wherein ...

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04-07-2013 дата публикации

SYSTEMS AND METHODS FOR STEP DISCONTINUITY REMOVAL IN REAL-TIME PCR FLUORESCENCE DATA

Номер: US20130173173A1
Принадлежит: Roche Molecular System, Inc.

Systems and methods for removing jump discontinuities in growth data are provided. A first approximation to a received data set is determined by applying a non-linear regression process to a non-linear function that models the data set to determine parameters, including a step discontinuity parameter. A second approximation to the data set is also determined by applying a regression process to a second non-linear function to determine parameters, including a step discontinuity parameter, of the second function. One of the approximations is selected based on an information coefficient determined for each of the approximations. If a confidence interval for the step discontinuity parameter includes zero, no correction is made, and if includes zero, then a correction is made. For a correction, the portion of the data curve prior to the step change is replaced with appropriate portion of the selected approximation to produce a shift-corrected data set. 1. A method of automatically removing a step discontinuity in data representing a growth process , the method comprising:receiving a dataset representing a growth process, the dataset including a plurality of data points, each data point having a pair of coordinate values;calculating a first approximation of a curve that fits the dataset by applying a non-linear regression process to a first non-linear function to determine parameters of the first function, said parameters including a step discontinuity parameter;calculating a second approximation of a curve that fits the dataset by applying a second regression process to a second non-linear function to determine parameters of the second function, said parameters of the second function including a step discontinuity parameter;determining an information coefficient for each of the first and second approximations;selecting one of the approximations based on the information coefficient;determining a confidence interval of the step discontinuity parameter for the selected ...

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18-07-2013 дата публикации

METHOD AND DEVICE FOR ASCERTAINING A STATE OF A SENSOR

Номер: US20130185013A1
Принадлежит: ROBERT BOSCH GMBH

In a method for determining a state of a sensor configured to ascertain an operating parameter of an internal combustion engine, at least one aging effect which has an influence on a sensor characteristic curve of the sensor is detected. The sensor has different sensor characteristic curves for different states of the sensor. The at least one aging effect is detected during operation of the sensor. An item of aging information which reflects the at least one aging effect is stored in an electronic memory. The state of the sensor is deduced from the aging information which is present in stored form and which reflects the aging effect that has acted on the sensor. The deduction is carried out based on a predefined linkage between the at least one aging effect and the state of the sensor. 1. A method for determining a state of a sensor configured to ascertain an operating parameter of an internal combustion engine , comprising:operating the sensor to ascertain the operating parameter;detecting, during operation of the sensor, at least one aging effect which has an influence on a sensor characteristic curve of the sensor, the sensor having different sensor characteristic curves for different states of the sensor;storing, in an electronic memory, aging information which reflects the at least one aging effect; anddetermining the state of the sensor from the stored aging information reflecting the aging effect which has acted on the sensor, based on a predefined relationship between the at least one aging effect and the state of the sensor.2. The method as recited in claim 1 , wherein:the predefined relationship between the aging effect and the state of the sensor is present in one of the sensor or a control unit in the form of one of an approximation formula, a model, empirical data concerning sensor states as a function of aging effects, or a look-up table listing aging effects of different sensor states; andthe aging information stored in the memory is used to ascertain ...

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25-07-2013 дата публикации

SYSTEM AND METHOD FOR AUTOMATIC MODAL PARAMETER EXTRACTION IN STRUCTURAL DYNAMICS ANALYSIS

Номер: US20130191071A1
Автор: MITRA KAUSTAV
Принадлежит: Airbus Engineering Centre India

A system and method for automatic modal parameter extraction in structural dynamics analysis are disclosed. In one embodiment, a stabilization diagram of a structure is obtained using a frequency domain parameter extraction technique. The stabilization diagram is a graph of measured transfer functions which include stable poles of the structure for each modal order versus frequencies which include modal frequencies of each stable pole. Further, a user is allowed to input user modal parameters, such as a maximum damping ratio, maximum number of stable poles to be selected from the stabilization diagram, and minimum separation in frequency between consecutive stable poles. Furthermore, stable poles having a damping ratio less than or equal to the maximum damping ratio are obtained. A histogram having bins, with a width equal to the minimum separation in frequency, is obtained. Also, the modal parameter of the structure is automatically extracted using the histogram. 1. A method of automatic modal parameter extraction in structural dynamics analysis , comprising:obtaining a stabilization diagram of a structure using a frequency domain modal parameter extraction technique, wherein the stabilization diagram is a graph of measured transfer functions versus frequencies and wherein the measured transfer functions comprise stable poles of the structure for each modal order and the frequencies comprise modal frequencies of each of the stable poles;allowing a user to input user modal parameters selected from the group consisting of a maximum damping ratio, a maximum number of stable poles to be selected from the stabilization diagram, and a minimum separation in frequency between consecutive stable poles;obtaining stable poles having a damping ratio that is less than or equal to the maximum damping ratio from the stabilization diagram;forming a histogram having bins, wherein each bin having a width approximately equal to the minimum separation in frequency between the ...

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01-08-2013 дата публикации

METHOD FOR INSPECTING THE QUALITY OF A SOLDER JOINT

Номер: US20130193123A1
Принадлежит: RENAULT S.A.S.

A method for monitoring quality of a weld, includes implementing a probabilistic statistical model, for determining a rating of the quality of the weld. 112-. (canceled)13. A method for monitoring the quality of a weld , comprising:implementing a probabilistic statistical model, for determining a rating of the quality of the weld.14. The monitoring method as claimed in claim 13 , wherein the statistical model is a model of logistic regression.15. The monitoring method as claimed in claim 13 , wherein the implementing of the model makes it possible to rate the quality of the weld as compliant or as non-compliant or as uncertain.16. The monitoring method as claimed in claim 13 , wherein the model comprises a first module implemented to rate the quality of the weld as non-compliant or perhaps compliant claim 13 , and a second module implemented to rate the quality of the weld as compliant or uncertain.17. The monitoring method as claimed in claim 13 , further comprising a first phase of defining the model for rating the quality of the weld and a second phase of using the rating model to rate the quality of the weld.18. The monitoring method as claimed in claim 17 , wherein the first phase uses profilometry data for the weld and/or temperature data for the weld claim 17 , and the second phase uses profilometry data for the weld and/or temperature data for the weld.19. The monitoring method as claimed in claim 17 , wherein the first phase comprises:carrying out weld trials;acquiring data relating to the welds;rating the quality of the weld trials;smoothing the data, or smoothing the data carried out by breaks in mean;compressing the smoothed data and extracting explanatory variables, or extracting explanatory variables corresponding to the quantiles characteristic of an empirical distribution function of the smoothed data; andusing the explanatory variables to define parameters of the model.20. The monitoring method as claimed in claim 17 , wherein the second phase ...

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01-08-2013 дата публикации

SYSTEM AND METHOD FOR DIAGNOSING MACHINE TOOL COMPONENT FAULTS

Номер: US20130197854A1
Автор: Liao Linxia
Принадлежит: Siemens Corporation

A machine tool system is diagnosed by identifying a fault class to which an input measurement vector belongs. The fault class corresponds to a group of weight vectors in a code book of a self organized map that describes the machine tool system based on training data. Probabilities that the input measurement vector belongs to a given class are estimated based on the posterior probability of the weight vectors of the code book corresponding to the given class given the input measurement vector. Training data to create the code book may be collected under a first operating condition while the input measurement vector is collected under a second operating condition. 1. A method for identifying a fault class to which an input measurement vector belongs , the fault class corresponding to at least one weight vector in a code book of a self organized map describing a system based on training data , the method comprising:estimating a density of a Gaussian mixture model distribution defined by the code book;determining a posterior probability of each weight vector of the code book given the input measurement vector; andestimating each probability that the input measurement vector belongs to a given class, based on the posterior probability of the at least one weight vector of the code book corresponding to the given class given the input measurement vector.3. A method as in claim 2 , wherein a probability that an input measurement vector x belongs to a given class c is:{'br': None, 'i': P', 'c|x', 'P', 'j|x, 'sub': '∀j=c', '()=Σ().'}4. A method as in claim 1 , wherein the system is a subsystem of a machine tool system.5. A method as in claim 4 , wherein the input measurement vector includes data received from a machine tool controller.6. A method as in claim 1 , wherein the input measurement vector includes data measured by at least one of an accelerometer and a thermocouple.7. A method as in claim 1 , wherein the training data is collected under a first operating condition ...

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01-08-2013 дата публикации

Method for spectrometric analysis and related device

Номер: US20130197861A1

A method for analyzing spectrometric measurements, said measurements C={c, . . . , c} being organized in a histogram, said histogram being made up of accumulation channels, a channel j corresponding to an energy interval B, comprises at least three processing steps. A first step determines, for each accumulation channel j, distributions p representative of the amplitude and Z representative of the position of the Dirac pulses that make up the normalized spectrum of peaks as well as distributions q representative of the Pólya tree characterizing the normalized background spectrum, said elements being obtained by Gibbs sampling. A second step detects significant channels, said detection being performed by application of a Kolmogorov-Smirnov test for each accumulation channel of the histogram on the basis of the results of the first step. A third step identifies significant regions of the spectrum by grouping together intervals Bof the significant channels identified during the second step, said regions including at least one significant peak. 1. A method for analyzing spectrometric measurements , said measurements C={c , . . . , c} being organized in a histogram , said histogram being made up of accumulation channels , a channel j corresponding to an energy interval B , said method comprising at least three processing steps:a first step determining, for each accumulation channel j, distributions p representative of the amplitude and Z representative of the position of the Dirac pulses that make up the normalized spectrum of peaks as well as distributions q representative of the Pólya tree characterizing the normalized background spectrum, said elements being obtained by Gibbs sampling;a second step of detecting the significant channels, said detection being performed by the application of a Kolmogorov-Smirnov test for each accumulation channel of the histogram on the basis of the results of the first step;{'sub': 'j', 'a third step of identifying significant regions ...

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08-08-2013 дата публикации

DETERMINING AN INDICATION OF A BACKGROUND LEVEL OF UTILITY CONSUMPTION

Номер: US20130204399A1
Принадлежит: INTELLIGENT SUSTAINABLE ENERGY LIMITED

A non-intrusive method of determining, in respect of a group of appliances that are arranged to consume a utility, an indication of a background level of consumption of the utility by the group of appliances, the method comprising: receiving a series of utility values representative of a total level of consumption of the utility by the group of appliances; determining, based on the received utility values, an indication of a background level of consumption of the utility; and outputting the determined indication of the background level of consumption of the utility. 130-. (canceled)31. A non-intrusive method of determining , in respect of a group of appliances that are arranged to consume a utility , an indication of a background level of consumption of the utility by the group of appliances , the method comprising:receiving a series of utility values representative of a total level of consumption of the utility by the group of appliances;identifying, based on the received utility values, an indication of a background level of consumption of the utility; andoutputting the identified indication of the background level of consumption of the utility;wherein identifying an indication of a background level of consumption comprises:calculating a series of moving averages from the received utility values; andusing the series of moving averages to determine the indication of the background level of consumption of the utility.32. The method of claim 31 , wherein calculating the series of moving averages is biased to respond more quickly to decreases in the received utility values than to increases in received utility values.33. The method of claim 31 , comprising calculating a next moving average according to =(1−α) +αp claim 31 , where is the most recently calculated moving average in the series of moving averages claim 31 , p is a next received utility value and α is a value in the range 0<α<1.34. The method of comprising setting the value of α in dependence on the value ...

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08-08-2013 дата публикации

PRINTING INSPECTION APPARATUS, PRINTING INSPECTION SYSTEM, STATISTICAL METHOD FOR INSPECTION DATA, PROGRAM, AND SUBSTRATE MANUFACTURING METHOD

Номер: US20130204563A1
Автор: Hirai Shinji, Ido Katsuya
Принадлежит: SONY CORPORATION

A printing inspection apparatus includes a measurement unit and a controller. The measurement unit is configured to measure solder that is printed on a substrate with a squeegee of a screen printing apparatus, the screen printing apparatus including a plurality of squeegees that slide on a screen in different slide directions to print solder on different substrates. The controller is configured to determine a slide direction of the squeegee that prints the solder based on measured data of the solder, the measured data being obtained by the measurement unit, and execute statistical processing of inspection data of the solder based on the measured data of the solder for each of the slide directions of the squeegees. 1. A printing inspection apparatus , comprising:a measurement unit configured to measure solder that is printed on a substrate with a squeegee of a screen printing apparatus, the screen printing apparatus including a plurality of squeegees that slide on a screen in different slide directions to print solder on different substrates; and determine a slide direction of the squeegee that prints the solder based on measured data of the solder, the measured data being obtained by the measurement unit, and', 'execute statistical processing of inspection data of the solder based on the measured data of the solder for each of the slide directions of the squeegees., 'a controller configured to'}2. The printing inspection apparatus according to claim 2 , wherein calculate the center of gravity of a volume and the center of gravity of an area of the solder based on the measured data of the solder, and', 'determine the slide direction of the squeegee that prints the solder based on a position of the center of gravity of a volume and a position of the center of gravity of an area of the solder., 'the controller is configured to'}3. The printing inspection apparatus according to claim 1 , wherein calculate an inclination of height of the solder based on the measured data ...

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08-08-2013 дата публикации

Method for Obtaining Information about a Radiation Source or a Material Interacting with a Radiation Source and a Measurement Setup for Performing the Method

Номер: US20130204578A1
Принадлежит: ARKTIS RADIATION DETECTORS LTD.

A method for obtaining information about an unknown neutron source or an unknown material interacting with a known neutron source comprises the steps of: (a) providing a radiation detector capable of delivering a neutron energy information allowing the production of response histogram(s) as a function of neutron energy, (b) measuring with said radiation detector neutrons being emitted from said unknown neutron source or from said unknown material, (c) deriving from said measured neutrons a neutron energy spectrum, especially in form of a histogram, (d) normalizing said energy spectrum or histogram relative to a parameter or set of parameters derived from the measurement of a different variable, (e) comparing said normalized energy spectrum or histogram with known energy spectra or histograms, and (f) drawing conclusions on the basis of said comparison about the nature of the unknown neutron source or unknown material. 1. A method for obtaining information about a radiation source or a material interacting with radiation from a radiation source , said method comprising the steps of: (a) providing a radiation detector capable of delivering neutron energy information allowing the production of response histogram(s) as a function of energy (E); (b) measuring with said radiation detector neutrons being emitted from said radiation source or from said material; (c) deriving from said measured neutrons a neutron energy spectrum , especially in form of a response histogram; (d) normalizing said energy spectrum or response histogram relative to a parameter or set of parameters derived from the measurement of a different variable; (e) comparing said normalized energy spectrum or histogram with known energy spectra or histograms; and (f) drawing conclusions on the basis of said comparison about the nature of the radiation source or material , or both.2. The method according to claim 1 , wherein said known histograms are taken from a database claim 1 , and said comparing step is ...

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15-08-2013 дата публикации

Computer-Implemented System And Method For Bounding Accuracy On A Forecast Of Photovoltaic Fleet Power Generation

Номер: US20130211722A1
Автор: Hoff Thomas E.
Принадлежит: CLEAN POWER RESEARCH, L.L.C.

A computer-implemented system and method for bounding accuracy on a forecast of photovoltaic fleet power generation is provided. Measured irradiance observations for a plurality of locations are retrieved. The measured observations include a time series recorded at successive time periods. Forecast irradiance observations are retrieved. Error between the forecast and the measured observations is identified. A mean and standard deviation of the error is determined and combined into a fleet mean and fleet standard deviation. Sky clearness indexes are generated as a ratio of each measured observation and clear sky irradiance. A time series of the sky clearness indexes is formed. Fleet irradiance statistics are determined through statistical evaluation of the sky clearness indexes time series. A time series of power statistics is generated as a function of the fleet irradiance statistics and photovoltaic fleet power rating. A statistical confidence is associated with each power statistic in the time series. 1. A computer-implemented system for bounding accuracy on a forecast of photovoltaic fleet power generation , comprising the steps of: sets of measured irradiance observations for a plurality of locations representative of a geographic region within which a photovoltaic fleet is located, each set of the measured irradiance observations comprising a time series recorded at successive time periods spaced at input time intervals; and', 'sets of forecast irradiance observations for the plurality of locations over the successive time periods, each forecast irradiance observation matching one of the measured irradiance observations for the same location;, 'a data storage comprising computer-readable data, comprising a forecast statistics module configured to identify error between the sets of forecast irradiance observations and the sets of measured irradiance observations for each of the locations, and to determine a mean and standard deviation of the error for each ...

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15-08-2013 дата публикации

METHOD FOR THE CONTINUOUS MONITORING AND DIAGNOSIS OF SOURCES OF PARTIAL DISCHARGES (PDs) IN HIGH VOLTAGE CABLES DURING CONNECTION TO, AND OPERATION IN THE POWER GRID, AND PHYSICAL SYSTEM FOR CARRYING OUT SAME

Номер: US20130211750A1
Принадлежит:

A method specially designed for detecting events associated with partial discharges (PDs) in high voltage cables includes the identification of the location and the evaluation of the amplitude and rate of repetition per period of the grid voltage, with the possibility of identifying different sources producing PD signals as a function of the location thereof and recognising the type of defect associated with PDs in the same location. Generated electric signals are measured and the discriminated in relation to the background noise. A system for carrying out the method includes devices for discriminating the noise in relation to the transient waveform of the PD, determining the parameters associated therewith, determining the map of sources of PDs along the length of the cable, graphically representing the sources, and identifying the patterns of the sources of PDs separated as a function of the location thereof along the length of the cable. 18.-. (canceled)9. A method for monitoring partial discharges in a high voltage cable , the method comprising:measuring electric signals of the cable for a time interval of at least one grid voltage period with a plurality of partial discharge sensors;filtering noise of the measured signal by calculating a Wavelet transform and identifying a partial discharge as a function of a statistical dispersion of the components of said transform.10. The method according to claim 9 , further comprising determining in the filtered signal a start time of a pulse and at least one of the following parameters:phase angle over time in relation to the zero-crossing of a grid voltage, amplitude and an integral of the pulse of the partial discharge at the sensing point.11. The method according to claim 10 , comprising identifying the cable where the partial discharge originates as a function of the highest amplitude of the signals detected by each trio of sensors positioned in accessories claim 10 , and determining the parameter associated with a ...

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15-08-2013 дата публикации

MULTIVARIATE DATA MIXTURE MODEL ESTIMATION DEVICE, MIXTURE MODEL ESTIMATION METHOD, AND MIXTURE MODEL ESTIMATION PROGRAM

Номер: US20130211801A1
Принадлежит: NEC Corporation

With respect to the model selection issue of a mixture model, the present invention performs high-speed model selection under an appropriate standard regarding the number of model candidates which exponentially increases as the number and the types to be mixed increase. A mixture model estimation device comprises: a data input unit to which data of a mixture model to be estimated, candidate values of the number of mixtures which are required for estimating the mixture model of the data, and types of components configuring the mixture model and parameters thereof, are input; a processing unit which sets the number of mixtures from the candidate values, calculates, with respect to the set number of mixtures, a variation probability of a hidden variable for a random variable which becomes a target for mixture model estimation of the data, and estimates the optimal mixture model by optimizing the types of the components and the parameters therefor using the calculated variation probability of the hidden variable so that the lower bound of the posterior probabilities of the model separated for each component of the mixture model can be maximized; and a model estimation result output unit which outputs the model estimation result obtained by the processing unit. 110-. (canceled)11. A mixture model estimation device comprising:a data input unit that inputs data of a mixture model to be estimated, and candidate values for a mixture number, and types and parameters of components constituting the mixture model that are necessary for estimating the mixture model of the data;a processing unit that sets the mixture number from the candidate values, calculates a variation probability of a hidden variable for a random variable which is a target for estimating the mixture model of the data with respect to the set mixture number, and optimally estimates the mixture model by optimizing the types and parameters of the components using the calculated variation probability of the hidden ...

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29-08-2013 дата публикации

AUTOMATIC MONITORING AND ALARMING DEVICE BASED ON LARGE STRAIN OF POWER TRANSMISSION TOWER

Номер: US20130226471A1
Автор: Ji Jinchuan, LI Wenliang
Принадлежит:

An automatic monitoring and alarming device based on large strain of a power transmission tower comprises a solar cell (), a wireless alarm sending device (), an insulation basement () and a truss with great probability of generating large strain on the power transmission tower. One end of two invar alloy fine rods is respectively fixed on the insulation basement (). The first invar alloy fine rod (A) is fixedly adhered to the truss with great probability of generating large strain on the power transmission tower, and the arrangement direction of which is the same as the strain generating direction of the truss. The second invar alloy fine rod (B) is sleeved with an insulation bushing () and is suspended on the outside of the truss with great probability of generating large strain. The solar cell (), the wireless alarm sending device (), a metal probe () and a metal contact () together form an alarm circuit. The strain of the service power transmission tower is automatically monitored and alarmed by the automatic monitoring and alarming device, which solves the problem that the large strain of the power transmission tower body can not be detected in time in the prior art. 1765111251121131151114731766211121. An automatic monitoring and alarming device based on large strain of a power transmission tower , comprising a solar cell () , a wireless alarm sending device () , an insulation basement () and a truss with great probability of generating large strain on the power transmission tower , characterized in that a first invar alloy fine rod (A) with a length of L and a second invar alloy fine rod (B) with a length of L have one end fixedly disposed on the insulation basement () , respectively , and the first invar alloy fine rod (A) and the second invar alloy fine rod (B) are arranged in parallel in the same direction; a metal probe () protruding towards the second invar alloy fine rod (B) is fixedly disposed on the other end of the first invar alloy fine rod (A) , a ...

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29-08-2013 дата публикации

METHODS AND APPARATUS FOR HYBRID OUTLIER DETECTION

Номер: US20130226491A1
Принадлежит:

Methods and apparatus for data analysis according to various aspects of the present invention are configured to identify statistical outliers in test data for components, including hybrid outliers representing outliers within subsets of larger data populations. A method and apparatus according to various aspects of the present invention may operate in conjunction with a test system having a tester, such as automatic test equipment (ATE) for testing semiconductors. 1. A test data analysis system for analyzing test data for multiple components fabricated on a wafer , comprising:a memory configured to store the test data; and select a central component from the plurality of components;', 'identify a plurality of local components in a local area near the central component;', 'determine a derived value of the test data for the plurality of local components;', 'compare the test data for the central component to the derived value for the plurality of local components; and', 'identify whether the test data for the central component represents a hybrid outlier according to the comparison of the test data for the central component to the derived value for the plurality of local components., 'a hybrid outlier system having access to the memory and configured to, for each of a plurality of test data for each of a plurality of components2. A test data analysis system according to claim 1 , wherein the hybrid outlier system is configured to normalize the test data for the central component and the local components.3. A test data analysis system according to claim 2 , wherein the hybrid outlier system is configured to compare the test data for the central component to the derived value for the plurality of test components by comparing the normalized test data for the central component to the derived value for the plurality of test components.4. A test data analysis system according to claim 2 , wherein the test data comprises test data generated using multi-site testing claim 2 , ...

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12-09-2013 дата публикации

METHOD AND SYSTEM FOR DETECTING DISCRIMINATORY DATA PATTERNS IN MULTIPLE SETS OF DATA

Номер: US20130238251A1

A comprehensive analysis procedure for analyzing and comparing multiple sets of data to detect hidden discriminatory data patterns. The inventive procedure identifies a best subset of markers for optimal discrimination between two or more sets of data. A point-wise test on two or more sets of data is performed to calculate test statistic values and to generate a statgram, a two- or higher-dimensional map of the test statistic values along the range of data. A threshold is then determined for isolating critical regions of the statgram at each significance level to provide candidate markers. A subset of markers from the candidate markers is then selected to discriminate among the sets of data. The two or more sets of data are classified using the subset of markers. 1. A system for detecting discriminatory data patterns in multiple sets of data , each unit of data being described uniquely by one or more coordinates , the system comprising:a point-wise test module for performing a point-wise test on a training set of data to calculate a plurality of test statistic values for corresponding units of data from two or more groups of data representing known conditions;a threshold module for determining a threshold test statistic value based on a selected significance level and selecting units of data having a test statistic value with an absolute value exceeding the threshold value, the selected units of data comprising candidate marker elements;a marker selection module for selecting a subset of marker elements from the candidate marker elements to discriminate among the two or more groups of data; anda classification module for classifying a testing set into the two or more groups of data using the subset of marker elements.2. The system of claim 1 , comprising a variance stability module for checking at least one of the candidate marker elements and the subset of marker elements for variance stability.3. The system of claim 1 , wherein the threshold module performs a ...

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12-09-2013 дата публикации

METHOD AND APPARATUS FOR ESTIMATING A MOLECULAR MASS PARAMETER IN A SAMPLE

Номер: US20130238252A1

A method for estimating a molecular mass parameter in a sample that includes at least one component of given molecular mass, comprising the steps consisting of passing the sample through a processing chain comprising a mass spectrometer with a MEMS or NEMS electromechanical sensor, in this way obtaining a signal representing the molecular mass parameter and estimating the molecular mass parameter by means of a signal processing device. The molecular mass parameter is defined on the basis of a parameter of time distribution of successive detections, by the MEMS or NEMS electromechanical sensor, of the adsorption of said component, and the estimation of the molecular mass parameter is made by Bayesian inference, on the basis of a direct analytical modeling of said signal according to the molecular mass parameter and to technical parameters of the processing chain comprising at least one technical parameter of the MEMS or NEMS electromechanical sensor. 2. A method for estimating at least one molecular mass parameter according to claim 1 , wherein the analytical modeling comprises a parameter that represents detection instants at which the electromechanical sensor detects the adsorption of said component claim 1 , and wherein the molecular mass parameter is defined from said parameter that represents the detection instants.3. A method for estimating at least one molecular mass parameter according to claim 2 , wherein the parameter that represents the detection instants is a vector or of a list of parameters of each component detection.4. A method for estimating at least one molecular mass parameter according to claim 1 , further comprising a step for detecting the adsorption sites of components on the MEMS or NEMS electromechanical sensor claim 1 , wherein the analytical modeling further comprises a parameter of time distribution of said adsorption sites and a deterministic function that returns a value of drop in frequency for each pair of values for a mass of adsorbed ...

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19-09-2013 дата публикации

METHODS OF NORMALIZING MEASURED DRUG CONCENTRATIONS AND TESTING FOR NON-COMPLIANCE WITH A DRUG TREATMENT REGIMEN

Номер: US20130245960A1
Автор: Leider Harry, Linden Ariel
Принадлежит: AMERITOX, LTD.

Methods for monitoring subject compliance with a prescribed treatment regimen are disclosed. In one embodiment, the method comprises measuring a drug level in fluid of a subject and normalizing said measured drug level as a function of one or more parameters associated with the subject. The normalized drug level is compared to a reference value and associated confidence intervals or to a concentration range. The reference value and associated confidence intervals and/or the concentration range may be normalized based on one or more parameters associated with subjects in a reference population. 1. A method of creating confidence intervals for a prescribed opioid regimen by:(a) administering to a plurality of members of a population the opioid regimen for a time sufficient to achieve steady state;(b) measuring a raw urine opioid level in a plurality of members of the population, wherein said raw opioid level is measured by a least one of GC-MS or LC-MS-MS;(c) normalizing the raw urine opioid levels as a function of at least one of urine pH, urine specific gravity, urine creatinine concentration, subject height, subject weight, subject age, subject body mass index, subject gender, subject lean body mass, and subject body surface area;(d) determining a mean or median estimate of the normalized opioid levels for the prescribed opioid regimen; and(e) determining upper and lower confidence intervals for the normalized mean or median estimate.2. The method of wherein the plurality of members are assigned to the population based on the presence or absence of one or more exclusion criteria.3. The method of wherein the one or more exclusion criteria are selected from the group comprising CYP2D6 allele variation claim 2 , history of substance abuse; significant disease; recent illness; abnormal findings on physical examination claim 2 , electrocardiogram claim 2 , laboratory studies claim 2 , or drug screens; recent history of prescription drug use claim 2 , over-the-counter ...

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19-09-2013 дата публикации

METHOD OF POWER SYSTEM PREVENTIVE CONTROL CANDIDATE MEASURES IDENTIFICATION SELF-ADAPTIVE TO EXTERNAL ENVIRONMENT

Номер: US20130246000A1
Принадлежит:

A method of power system preventive control candidate measures identification self-adaptive to external environment, which is applicable to dynamic identification of stations and power equipment under the effect of calamity, and judgment of preventive control measures that lose or restore control capability, and those for which control range or cost has changed. Automatic online identification of set of preventive control candidate measures includes two tasks: identification of stations and power equipment under the effect of calamity, and adjustment of the space of preventive control measures. According to information of power transmission line fault probability due to calamity, online dynamic quantitative assessment of stations and equipment is performed under the effect of external environment, and automatically correct control range and control cost of the measures according to the effect on equipment, so that the result of preventive control adapts to real-time external environment, ensuring feasibility and economy of auxiliary decision making. 1. A method of power system preventive control candidate measures identification self-adaptive to external environment , including the following steps:a) collecting a power transmission line fault probability assessment result in a current period of time, a maintenance plan information, an information of equipment of non-scheduled shutdown, and a plurality of candidate control measures set for a normal environment at the control center;b) judging primary equipment that is at an end of maintenance and is put into operation according to information of scheduled maintenance, and adding the primary equipment to the plurality of candidate control measures set;c) adding equipment under an effect of calamity to the plurality of candidate control measures set if fault probability or collective fault probability of the equipment exceeds a certain limit;d) in case line fault probability is identified as exceeding a certain setting ...

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26-09-2013 дата публикации

GENETIC MARKERS ASSOCIATED WITH INTERFERON-ALPHA RESPONSE

Номер: US20130251677A1
Принадлежит: Merck Sharp & Dohme Corp.

The present invention provides genetic markers on human chromosome 19 that are associated with a beneficial response to interferon alpha (IFN-α). These IFN-α response markers are useful, inter alia, to identify patients who are most likely to benefit from treatment with IFN-α pharmaceutical compositions and drug products, in methods of treating patients having a disease susceptible to treatment with an IFN-α, and in methods for selecting the most appropriate therapy for such patients. 2. A method of testing an individual for the presence or absence of at least one IFN-α response marker , the method comprising obtaining a nucleic acid sample from the individual and assaying the nucleic acid sample to determine the individual's genotype at a polymorphic site (PS) in Table 1 , wherein if the individual is heterozygous or homozygous for the better response allele for said PS , then the IFN-α response marker is present and if the individual is homozygous for the other allele for said PS , then the IFN-α response marker is absent.3. The method of claim 2 , which further comprises generating a test report that indicates the individual's genotype at said PS.4. The method of claim 2 , wherein the IFN-α response marker is selected from the homozygous IFN-α response marker genotypes in Table 1.5. A method of selecting a therapy for treating an individual having a disease susceptible to treatment with an interferon alpha (IFN-α) claim 2 , comprising obtaining the individual's genotype at a polymorphic site (PS) selected from the polymorphic sites in Table 1 and selecting a therapy based on the results of the determining step claim 2 ,wherein if the individual is heterozygous or homozygous for the better response allele at the selected PS, then the selected therapy comprises initial treatment or continued treatment with the IFN-α, andwherein if the individual is homozygous for the other allele at the selected PS, the selected therapy comprises administering the IFN-α in ...

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03-10-2013 дата публикации

DENSITY MEASURING SYSTEM AND DENSITY MEASURING METHOD

Номер: US20130261985A1
Автор: OOISHI Yasuharu
Принадлежит: AZBIL CORPORATION

A density-equation creating system includes a container, into which each of a plurality of kinds of mixed gas being injected, a heating element that is provided in the container and produces heat at a plurality of heating temperatures, a measuring section that measures values of electric signals output from the heating element respectively at the plurality of heating temperatures, and an equation creating section that creates a density equation including independent variables and a dependent variable based on values of density of the plurality of kinds of mixed gas and based on measured values of electric signals output from the heating element at the plurality of heating temperatures, the independent variables being electric signals output from the heating element at the plurality of heating temperatures, and the dependent variable being the density. 1. A density-equation creating system , comprising:a container, each of a plurality of kinds of mixed gas being injected in the container;a heating element configured to produce heat at a plurality of heating temperatures and provided in the container;a measuring section configured to measure values of electric signals output from the heating element respectively at the plurality of heating temperatures; andan equation creating section configured to create a density equation including independent variables and a dependent variable based on values of density of the plurality of kinds of mixed gas and based on measured values of electric signals output from the heating element at the plurality of heating temperatures, the independent variables being electric signals output from the heating element at the plurality of heating temperatures, and the dependent variable being the density.2. The density-equation creating system according to claim 1 , whereina number of the plurality of heating temperatures of the heating element is at least a value obtained by subtracting 1 from a number of gas components in each of the ...

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03-10-2013 дата публикации

INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

Номер: US20130262013A1
Автор: Ide Naoki
Принадлежит: SONY CORPORATION

An information processing device includes a sensor that measures predetermined data, a model storage unit that stores a model obtained by modeling time series data measured in the past, an information amount computation unit that computes an information amount obtained from measurement based on the difference of an information amount when measurement by the sensor is not performed which is decided based on a prior distribution of state variables of the model and an information amount when measurement by the sensor is performed which is decided based on a posterior distribution of the state variables of the model, and a measurement control unit that controls the sensor based on the information amount obtained from the measurement. 1. An information processing device comprising:a sensor that measures predetermined data;a model storage unit that stores a model obtained by modeling time series data measured in the past;an information amount computation unit that computes an information amount obtained from measurement based on the difference of an information amount when measurement by the sensor is not performed which is decided based on a prior distribution of state variables of the model and an information amount when measurement by the sensor is performed which is decided based on a posterior distribution of the state variables of the model; anda measurement control unit that controls the sensor based on the information amount obtained from the measurement.2. The information processing device according to claim 1 , wherein the model stored in the model storage unit is a Hidden Markov Model.3. The information processing device according to claim 2 , wherein the information amount when measurement by the sensor is not performed is an information amount computed from a posterior probability of state variables of the Hidden Markov Model obtained from time series data up to the previous measurement and a prior probability of state variables of a current time predicted ...

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03-10-2013 дата публикации

INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

Номер: US20130262032A1
Автор: Ide Naoki
Принадлежит: SONY CORPORATION

An information processing device includes a main sensor that is a sensor that is operated in at least two operation levels and acquires predetermined data, a sub sensor that is a sensor that acquires data different from that of the main sensor, and an information amount calculation unit that predicts the difference between an information amount when measurement is performed by the main sensor and an information amount when measurement is not performed by the main sensor from data obtained by the sub sensor and decides the operation level of the main sensor based on the prediction result. 1. An information processing device comprising:a main sensor that is a sensor that is operated in at least two operation levels and acquires predetermined data;a sub sensor that is a sensor that acquires data different from that of the main sensor; andan information amount calculation unit that predicts the difference between an information amount when measurement is performed by the main sensor and an information amount when measurement is not performed by the main sensor from data obtained by the sub sensor and decides the operation level of the main sensor based on the prediction result.2. The information processing device according to claim 1 , wherein the sub sensor is a sensor that incurs lower measurement costs for acquiring data than the main sensor.3. The information processing device according to claim 2 , wherein the information amount calculation unit decides the operation level of the main sensor by comparing the difference of the information amounts when measurement is performed and not performed by the main sensor to a threshold value based on a current margin of an index used to decide the measurement costs.4. The information processing device according to claim 1 , wherein the information amount calculation unit acquires parameters of a probability model learned by time series data obtained by the main sensor and the sub sensor in the past claim 1 , and predicts the ...

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10-10-2013 дата публикации

REPRESENTATIVE-VALUE CALCULATING DEVICE AND METHOD

Номер: US20130268570A1
Автор: Koo Heung Seob
Принадлежит:

An apparatus and a method for calculating representative values are provided. The apparatus includes a first calculation unit which calculates a median value and a median absolute deviation (MAD), or a mean value and a standard deviation of process condition values for each sampling point, by using the process condition values which have been measured through a sensor for the each sampling point for each sample; a second calculation unit which calculates standardized values by using the process condition values, the median value, and the median absolute deviation (MAD), or calculates standardized values by using the process condition values, the mean value, and the standard deviation; and a third calculation unit which calculates a representative value of the process condition values for the each sample based on the calculated standardized values. 1. A representative value calculating apparatus comprising:a first calculation unit which calculates a median value and a median absolute deviation (MAD), or a mean value and a standard deviation of process condition values for each sampling point, by using the process condition values which have been measured through a sensor for the each sampling point for each sample;a second calculation unit which calculates standardized values by using the process condition values, the median value, and the median absolute deviation (MAD), or calculates standardized values by using the process condition values, the mean value, and the standard deviation; anda third calculation unit which calculates a representative value of the process condition values for the each sample based on the calculated standardized values.2. The representative value calculating apparatus of claim 1 , further comprising:an extraction unit which extracts only the process condition values corresponding to sampling points which have been set by a user among the measured process condition values.3. The representative value calculating apparatus of claim 1 , ...

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24-10-2013 дата публикации

Method for Analyzing an EDS Signal

Номер: US20130277555A1
Принадлежит: FEI COMPANY

The invention relates to a method for analyzing the output signal of a silicon drift detector (SDD). A SDD is used for detecting X-rays emitted by a sample as a result of impinging radiation. 1. A method for analyzing a signal of a radiation sensor containing randomly spaced steps , the method comprising:detecting the presence of steps;estimating the time intervals between adjacent steps;filtering the signal preceding a step with a first filter behavior;filtering the signal following a step with a second filter behavior;estimating the step height; andfrom the multitude of steps form a density distribution or histogram according to the estimated step height,whereinthe variance of the step height is estimated using an estimate of the variance of the plateau preceding the step and an estimate of the variance of the plateau following the step, the estimates of the variance of the plateaus based on the length of the interval of each of the plateaus; andeach of the multitude of steps contributing to the density distribution or histogram according to a weight factor, the weight factor a function of the variance, the function such that a step with a low variance is associated with a larger weight factor than a step with a high variance,as a result of which step height estimates with a low variance, corresponding to a high reliance, are emphasized.2. The method of in which estimating the variance of the plateaus based on the length of the interval of each of the plateaus further involves taking into account a noise model of the signal analyzed.3. The method of in which the signal is the signal of a solid state device and the steps are the result of X-ray photons impinging on said solid state device.4. The method of in which the step height represents the energy of an X-ray photon.5. The method of in which each step is represented by an estimated step height and a step height variance claim 1 , and the contribution of the step to the density distribution or histogram ...

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31-10-2013 дата публикации

ENVIRONMENTAL MONITORING

Номер: US20130289927A1
Принадлежит: Magpie Sensing LLC

A computer-based method includes collecting a sequence of measurements related to a controllable environmental parameter in a monitored space over time, deriving a master curve based on the sequence of collected measurements to characterize normal periodic variations in the controllable environmental parameter over time, collecting one or more subsequent measurements that represent the controllable environmental parameter of the monitored space, and evaluating a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level by comparing a curve associated with one or more of the subsequent measurements to the master curve. 1. A computer-based method comprising:collecting a sequence of measurements related to a controllable environmental parameter in a monitored space over time;deriving a master curve based on the sequence of collected measurements to characterize normal periodic variations in the controllable environmental parameter over time;collecting one or more subsequent measurements that represent the controllable environmental parameter of the monitored space; andevaluating a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level by comparing a curve associated with one or more of the subsequent measurements to the master curve.2. The computer-based method of claim 1 , further comprising alerting one or more system operators if the evaluation reveals a likelihood that the controllable environmental parameter will claim 1 , at some future point in time claim 1 , exceed an acceptable level claim 1 ,wherein the alerting is in advance of the controllable environmental parameter exceeding the acceptable level.3. The computer-based method of claim 1 , further comprising:estimating the future point in time that the controllable environmental parameter will exceed the acceptable level.4. The computer-based method of claim 3 , further comprising: ...

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14-11-2013 дата публикации

METHOD AND APPARATUS FOR ANALYZING GENETIC INFORMATION OF ABNORMAL TISSUE

Номер: US20130304387A1
Принадлежит: SAMSUNG ELECTRONICS CO., LTD.

A method and apparatus for analyzing genetic information of abnormal tissue, the method and apparatus involving obtaining a first set of sequence data that includes one or more pieces of sequence data that are aligned in one or more single nucleotide polymorphism (SNP) sites from genetic samples of abnormal tissue; obtaining a second set of sequence data that includes one or more pieces of sequence data that are aligned in one or more SNP sites from genetic samples of normal tissue; analyzing, by a processing unit, a distribution of alleles in corresponding portions of the first set of sequence data and the second set of sequence data; and determining a contamination rate of a sample of a tissue by using a result of the analyzing. 1. A method of analyzing genetic information of abnormal tissue , the method comprising:obtaining data corresponding to one or more nucleotide sequences from a genetic sample of abnormal tissue that are aligned with one or more single nucleotide polymorphism (SNP) sites, and data corresponding to one or more nucleotide sequences from a genetic sample of normal tissue that are aligned with the one or more SNP sites;using a gene analyzing unit to analyze a distribution of alleles at the one or more SNP sites in the nucleotide sequences obtained from the genetic sample of the abnormal tissue and the genetic sample of the normal tissue, which sequences are aligned with each of the one or more SNP sites; anddetermining a rate of contamination of the genetic sample of the abnormal tissue by genetic material of normal tissue, based on the distribution of alleles.2. The method of claim 1 , wherein analyzing the distribution of alleles comprises analyzing a characteristic of loss of heterozygosity (LOH) that occurs in the abnormal tissue.3. The method of claim 1 , wherein analyzing the distribution of alleles comprises calculating a probability that one or more alleles of the normal tissue also exist in the abnormal tissue.4. The method of claim 1 ...

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21-11-2013 дата публикации

TARGET DETECTION SIGNAL PROCESSOR BASED ON A LINEAR LOG LIKELIHOOD RATIO ALGORITHM USING A CONTINUUM FUSION METHODOLOGY

Номер: US20130311137A1
Принадлежит:

A method including collecting physical measurement data from a sensor. The physical measurement data is converted to radiance data. The radiance data includes a plurality of radiance data points. A detection score is generated by processing the radiance data using a discriminant function. The detection score includes a plurality of detection score points corresponding to the plurality of radiance data points. The discriminant function is derived by a fusion technique using a linear log likelihood ratio principle. A detection map is generated by applying a threshold to the detection score. The detection map includes a plurality of detection map points corresponding to the plurality of radiance data points, each detection map point of the plurality of detection map points includes one of a target-indicating value and a clutter-indicating value. A presence or an absence of a target is determined from the detection map. 1. A method comprising:collecting physical measurement data from a sensor;converting the physical measurement data to radiance data, the radiance data comprising a plurality of radiance data points, each radiance data point of the plurality of radiance data points comprising a multi-dimensional vector;generating a detection score by processing the radiance data using a discriminant function, the detection score comprising a plurality of detection score points corresponding to the plurality of radiance data points, each detection score point of the plurality of detection score points comprising a target-likelihood value, the discriminant function derived from a linear log likelihood ratio principle;generating a detection map by applying a threshold to the detection score, the detection map comprising a plurality of detection map points corresponding to the plurality of radiance data points, each detection map point comprising one of a target-indicating value and a clutter-indicating value; anddetermining from the detection map one of a presence and an ...

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28-11-2013 дата публикации

AUTOMATIC FLUID CODING AND HYDRAULIC ZONE DETERMINATION

Номер: US20130317752A1
Принадлежит: SCHLUMBERGER TECHNOLOGY CORPORATION

Systems, methods, and media for processing formation pressure test data are provided. The method includes determining using a processor, a plurality of regressions for measurements of the formation pressure test data, and determining that two or more of the plurality of regressions represent a fluid code. The method also includes combining the two or more of the plurality of regressions representing the fluid code to generate a first fluid-type regression, and combining two or more other ones of the plurality of regressions representing a second fluid code to generate a second fluid-type regression. The method further includes determining that the first fluid-type regression and the second fluid-type regression are in a first hydraulic zone, and calculating a location of a boundary between the first fluid-type regression and the second fluid-type regression by extrapolating the first and second fluid-type regressions to a point of intersection therebetween. 1. A method for processing formation pressure test data , comprising:determining, using a processor, a plurality of regressions for measurements of the formation pressure test data;determining that two or more of the plurality of regressions represent a fluid code;combining the two or more of the plurality of regressions representing the fluid code to generate a first fluid-type regression;combining two or more other one of the plurality of regressions representing a second fluid code to generate a second fluid-type regression;determining., that the first fluid-type regression and the second fluid-type regression are in a first hydraulic zone; andcalculating a location of a boundary between the first fluid-type regression and the second fluid-type regression by extrapolating the first and second fluid-type regressions to a point of intersection therebetween.2. The method of claim 1 , further comprising determining that a third fluid-type regression claim 1 , adjacent to the second fluid-type regression claim 1 , ...

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28-11-2013 дата публикации

SYSTEM AND METHOD OF USING SPATIALLY INDEPENDENT SUBSETS OF DATA TO DETERMINE THE UNCERTAINTY OF SOFT-DATA DEBIASING OF PROPERTY DISTRIBUTIONS FOR SPATIALLY CORRELATED RESERVOIR DATA

Номер: US20130317779A1
Автор: Thorne Julian
Принадлежит: Chevron U.S.A. INC.

A system and method, implemented on a computer, for determining the uncertainty of soft-data debiasing of property distributions of spatially correlated reservoir data are provided. The method includes inputting, into the computer, soft-data at a plurality of spatial locations on a grid and hard-data at a plurality of location along well paths that intersect the grid. Each location of the hard-data is collocated with soft-data values of one or more types. The method further includes calculating, using the computer, a variogram of the hard-data and creating subsets of independent hard-data using the variogram and the soft-data values that are collocated with each of the hard-data location; applying, using the computer, a bootstrap process on each of the plurality of subsets of independent hard-data to obtain a plurality of bootstrap data sets from each of the plurality of subsets of independent hard-data; calculating soft-data debiased histograms for each of the obtained plurality of bootstrap data sets using a binary decision tree and the collocated soft-data; and characterizing the uncertainty of the soft-data debiased histograms. 1. A method , implemented on a computer , for determining the uncertainty of soft-data debiasing of property distributions of spatially correlated reservoir data , comprising:inputting, into the computer, soft-data at a plurality of spatial locations on a grid and hard-data at a plurality of location along well paths that intersect the grid, wherein each location of the hard-data is collocated with soft-data values of one or more types;calculating, using the computer, a variogram of the hard-data and creating subsets of independent hard-data using the variogram and the soft-data values that are collocated with each of the hard-data location;applying, using the computer, a bootstrap process on each of the plurality of subsets of independent hard-data to obtain a plurality of bootstrap data sets from each of the plurality of subsets of ...

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28-11-2013 дата публикации

Reporting and Management of Computer Systems and Data Sources

Номер: US20130318567A1
Принадлежит: Wal Mart Stores Inc

A system and method are provided for managing data, such as for example security or other business data. For the example of security data, security data is received from a plurality of assets that may or may not be remotely located. A plurality of security metrics are computed and normalized according to thresholds. Security metrics are aggregated to generate an aggregate score, this may include weighting the metrics according to metric priorities. A change effort corresponding to each metric is also received and a corresponding change effort for the aggregate score is calculated. Aggregate scores and aggregate change efforts are analyzed to generate risk reduction recommendations. Upon instruction, metrics corresponding to an aggregate score may be displayed including recommendations of metrics for risk reduction. The recommended metrics may be selected according to analysis of change-to-effort ratios for the metrics.

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05-12-2013 дата публикации

System and method for determining the presence of spectral components in the spectra of mixture

Номер: US20130325400A1
Автор: Jackson Richard, WANG Qian
Принадлежит:

The present invention discloses a system and method for detecting the spectra of unknown components in the spectrum of a mixture and/or for verifying the presence of suspected components in the spectrum of a mixture. The system and method involves using the algorithm to perform a regression that includes the target and known spectra in a mixture, calculating a residual where the coefficient for the target spectrum is zero, called the extracted spectrum, and comparing the extracted spectrum and the target spectrum. The system and method may be used with chemometrics algorithms, multiple known spectra, and/or multiple target spectra. 1. A method for determining the presence of spectral components in a mixture , said method comprising:performing a regression that includes the target spectrum and one or more known other component spectra present in a mixture;calculating the extracted spectrum, where said extracted spectrum is the residual where the coefficient for the target spectrum is set to zero; andcomparing said extracted spectrum to said target spectrum using a comparison metric.2. The method of where;said comparison metric is at least one of a correlation coefficient, weighted correlation coefficient, Euclidian distance or absolute maximum distance.3. The method of wherein;the weights in said weighted correlation coefficients are not all the same.4. The method of further comprising;comparing said extracted spectrum to the residual spectrum.5. The method of wherein;wherein said method is used in an iterative fashion.6. The method of wherein;said regression includes a baseline spectrum or other component spectra.7. The method of wherein;said regression spectra include either derivative spectra or derivative spectra multiplied by an envelope function.8. The method of further comprising;using one or more regression coefficients to calculate concentrations.9. The method of wherein said regression comprises;at least one of the multiple spectra of a target component, ...

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05-12-2013 дата публикации

METHOD FOR CALCULATING CONSUMPTION AND/OR A REMAINING RANGE OF A MOTOR VEHICLE AND MOTOR VEHICLE

Номер: US20130325403A1
Принадлежит:

A method calculates a remaining range and/or consumption of a motor vehicle with an energy storage system for a drive which acts on at least one wheel of the motor vehicle. The remaining range and/or the consumption can be calculated in a first fashion by using a first algorithm and in a second fashion by using a second algorithm. The second fashion requires a higher degree of expenditure on calculation than the first fashion. Switching over between the first fashion and the second fashion occurs as a function of the energy stored in the energy storage system. 18-. (canceled)9. A method for calculating a remaining range and/or a consumption of a motor vehicle with an energy storage system for a drive which acts on at least one wheel of the motor vehicle , comprising:calculating the remaining range and/or the consumption in a first fashion by using a first algorithm;calculating the remaining range and/or the consumption in a second fashion by using a second algorithm, the second fashion requiring a higher degree of expenditure on calculation than the first fashion,switching over between the first fashion and the second fashion as a function of energy stored in the energy storage system, whereinthe first algorithm is an algorithm which is based on area segments with respectively assigned energy costs, andthe second algorithm is a Dijkstra algorithm, which is based on road segments, or an algorithm which is derived from the Dijkstra algorithm, the second algorithm having energy values as a cost function.10. The method as claimed in claim 9 , wherein the energy storage system comprises a fuel tank and/or a battery.11. The method as claimed in claim 9 , wherein if the energy stored in the energy storage system is less than a limiting value claim 9 , the second algorithm is used claim 9 , and otherwise the first algorithm is used.12. The method as claimed in claim 11 , wherein the limiting value is adapted as a function of a user input.13. The method as claimed in claim 9 ...

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12-12-2013 дата публикации

Electron Microscope and Method of Operating the Same

Номер: US20130332116A1
Автор: Suzuki Takashi
Принадлежит:

An electron microscope and method of operating an electron microscope () has an electron beam source () for producing an electron beam, a noise canceling aperture () for detecting a part of the beam, an amplifier (), an effective value calculating circuit () for extracting DC components of the output signal from the amplifier (), a detector () for detecting a signal obtained in response to impingement of the beam on a sample (A), a preamplifier circuit (), an amplifier circuit (), a dividing circuit () for performing a division based on the output signal from the amplifier circuit () and on the output signal from the amplifier (), and a multiplier circuit () for performing multiplication of the output signal from the dividing circuit () and the output from the effective value calculating circuit (). 1. An electron microscope comprising:an electron beam source for producing an electron beam;an electron beam detecting portion for detecting a part of the electron beam;a DC component extracting portion for extracting DC components of an output signal from the electron beam detecting portion;an image detecting portion for detecting a signal obtained in response to impingement of the electron beam on a sample;a division portion for performing a division based on an output signal from the image detecting portion and on an output signal from the electron beam detecting portion; anda multiplication portion for performing a multiplication of a signal indicative of the result of the division performed by the division portion and a signal extracted by the DC component extracting portion.2. The electron microscope as set forth in claim 1 , wherein said DC component extracting portion calculates an effective value of the output signal from said electron beam detecting portion claim 1 , taken over a given period of time.3. The electron microscope as set forth in claim 2 , wherein said given period of time is set to be long enough to obtain one frame of image containing an image of ...

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19-12-2013 дата публикации

METHODS AND SYSTEMS FOR HIGH RESOLUTION MELT ANALYSIS OF A NUCLEIC ACID SEQUENCE

Номер: US20130338928A1
Принадлежит: THERMO FISHER SCIENTIFIC OY

Described herein are methods and systems for analyzing and visualizing HRM data from a double-stranded nucleic acid. The HRM data is generally characterized by a plurality of data points each including a signal value associated with the concentration of a double-stranded nucleic acid in a sample and a temperature value associated with a the temperature of the sample. Embodiments of the invention analyze the HRM curves from samples using the first negative derivative of the HRM curve or a virtual standard. The first negative derivative plot method may be used to identify the melting temperature of a homogenous double-stranded nucleic acid in a sample, as well as the presence and melting temperature of heterogeneous double-stranded nucleic acids in the sample. Data points associated with the melting temperature are plotted on a scatter plot for analysis. The virtual standard allows for visualization of HRM data across data sets. 1. A method of analyzing high resolution melt (HRM) data wherein the HRM data is characterized by a plurality of data points each including a signal value associated with the concentration of a double-stranded nucleic acid in a sample and a temperature value associated with a the temperature of the sample , the method comprising:generating a HRM curve from the HRM data;plotting the first negative derivative of the HRM curve;detecting the melt peak of the first negative derivative plot;plotting a data point associated with the melt peak on a scatter plot; andanalyzing the data point on the scatter plot.2. The method of wherein generating the HRM curve from the HRM data comprises at least one of smoothing the HRM data or removing exponential decay from the HRM data.3. The method of wherein the melt peak is a data point along the first negative derivative plot having the greatest amplitude.4. The method of further comprising fitting a Gaussian probability function to the first negative derivative plot; andthe melt peak is a data point along the ...

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19-12-2013 дата публикации

Anomaly Detection Method, Program, and System

Номер: US20130338965A1
Принадлежит:

A method providing an analytical technique introducing label information into an anomaly detection model. Effective utilization of label information is based on introducing the degree of similarity between samples. Assuming, for example, there is a degree of similarity between normally labeled samples and no similarity between normally labeled and abnormally labeled samples. Also each sensor value is generated by the linear sum of a latent variable and a coefficient vector specific to each sensor. However, the magnitude of observation noise is formulated to vary according to the label information for the sensor values, and set so that normal label unlabeled anomalously labeled. A graph Laplacian is created based on the degree of similarity between samples, and determines the optimal linear transformation matrix according to a gradient method. A optimal linear transformation matrix is used to calculate an anomaly score for each sensor in the test samples. 1. A computer implemented method to detect an anomaly based on measurement data , the method comprising the steps of:inputting measurement data having an anomalous or normal label and measurement data having no label as samples;determining a similarity matrix indicating the relationship between the samples based on the samples;defining a penalty based on the similarity matrix and calculating parameters in accordance with an updating equation having a term reducing the penalty; andcalculating a degree of anomaly based on the calculated parameters.2. A method according to further comprising: the step of calculating a graph Laplacian from the similarity matrix prior to the step of calculating the parameters claim 1 , the step for calculating the parameters using the calculated graph Laplacian.3. A method according to claim 2 , wherein the penalty based on the similarity is a Mahalanobis distance based on the similarity matrix or graph Laplacian.4. A method according to claim 1 , wherein the similarity matrix is a N×N ...

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26-12-2013 дата публикации

SYSTEMS AND METHODS FOR UNMIXING DATA CAPTURED BY A FLOW CYTOMETER

Номер: US20130346023A1
Принадлежит:

Systems and methods for obtaining fluorochrome abundance information by unmixing fluorescence emission data captured by a flow cytometer in accordance with embodiments of the invention are disclosed. In one embodiment, a data analysis system includes a processor, a memory, and an optical data analysis application, wherein the optical data analysis application configures the processor to obtain control optical data, generate a mixing model using the obtained control optical data and a system of linear combinations, obtain experimental optical data for particles stained with a set of fluorochromes, and estimate abundances of the fluorochromes in the set of fluorochromes using the obtained experimental optical data by solving a system of equations to unmix the optical data, where the number of equations is larger than the number of unknowns, based upon the generated mixing model using an unmixing process that accounts for increased noise variance with increased fluorochrome abundance. 1. A data analysis system configured to analyze optical data captured by a flow cytometer with respect to a plurality of particles stained with a plurality of fluorochromes , where an optics and detection system within the flow cytometer separates optical emission with respect to spectral ranges and where at least one detector is used to capture a number of optical measurements that is greater than the plurality of fluorochromes used to stain the plurality of particles , the data analysis system comprising:a processor; obtain control optical data for at least one particle stained with at least one fluorochrome selected from a set of fluorochromes, where the control optical data is captured by the flow cytometer configured so that an optics and detection system within the flow cytometer separates optical emission with respect to a predetermined set of spectral ranges;', 'generate a mixing model using the obtained control optical data and a system of linear combinations;', 'obtain ...

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02-01-2014 дата публикации

METHOD FOR STATISTICAL QUALITY ASSURANCE IN AN EXAMINATION OF STEEL PRODUCTS WITHIN A STEEL CLASS

Номер: US20140005981A1
Автор: Löffler Hans-Ulrich
Принадлежит:

A method for statistical quality assurance in an examination of steel products within a steel class is provided. Initially measurement samples are taken to determine at least one mechanical property. In addition to the measurement results, computed results of a computer-aided model for calculating the mechanical property of the respective steel product are used. Taking into account the statistical deviation between the measured results and the computed results, a statement is made as to whether the steel products have a specified probability of achieving a target value for the mechanical property. 18-. (canceled)9. A method for statistical quality assurance in an examination of steel products within a steel class , comprising:taking measurement samples to determine at least one mechanical property of the respective steel product;computing results using a computer-aided model for calculating the mechanical property of the respective steel product; anddetermining a statistical deviation between the measurement results and the computed results,wherein, taking into account the statistical deviation between the measured results and the computed results, a statement is made as to whether the steel products have a specified probability of achieving a target value for the mechanical property.101. The method as claimed in claim ,wherein, on the basis of a comparison of the measurement results with the computed results, a statement is made as to whether further measurement samples of individual steel products are necessary.11. The method as claimed in claim 9 ,wherein a number of the measurement samples to be taken within the steel class is determined as a function of the statistical deviation between the measurement results and the computed results.12. The method as claimed in claim 9 ,wherein a number of measurement samples to be taken within a steel class is determined as a function of the statistical deviation between a target value for tensile strength and the computed ...

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09-01-2014 дата публикации

REMOTE IDENTIFICATION OF NON-LAMBERTIAN MATERIALS

Номер: US20140012541A1
Принадлежит:

In one example of a method for remote identifying a non-Lambertian target material, a spectral signature for a target is determined from each of at least two different sets of imagery acquired at different angles, and compared to a predicted signature for a candidate material for each of the at least two different angles. The predicted signatures take into account the known anisotropy of reflectance, and thus also radiance, of the candidate material. 2. The method of claim 1 , wherein the acquisition angle for at least one of the two images is within a forward scattering lobe of a radiation being reflected from the target from a known illumination source claim 1 , and the acquisition angle for another of the at least two images is outside the forward scattering lobe.34.-. (canceled)5. The method of claim 1 , wherein at least one of the at least two images is acquired using a non-polarimetric reflectance imaging modality.6. The method of claim 1 , wherein predicting claim 1 , with the specially programmed computer claim 1 , for each of the at least two images claim 1 , a spectral signature comprises obtaining surface reflection parameters for the candidate material using a bidirectional reflectance distribution function (BRDF).78.-. (canceled)9. The method of claim 1 , further comprising determining claim 1 , with the specially programmed computer claim 1 , errors in the predicted candidate spectral signatures based one or more uncertainties.10. The method of claim 9 , wherein determining the predicated candidate spectral signatures further comprises use of the one or more surface reflection parameters obtained from a predetermined bidirectional reflectance distribution function (BRDF) for the candidate material claim 9 , and wherein the one or more uncertainties include one or more uncertainties in the one or more surface reflection parameters for the candidate material.1117.-. (canceled)18. Computer readable media storing instructions that claim 9 , when executed ...

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16-01-2014 дата публикации

INTERPOLATING A PORTION OF A SIGNAL IN RESPONSE TO A COMPONENT OF THE SIGNAL AND A COMPONENT OF ANOTHER SIGNAL

Номер: US20140019048A1
Принадлежит: TOKITAE LLC

An embodiment of an apparatus includes a first component determiner configured to determine a component of a first signal, a second component determiner configured to determine a component of a second signal, and an interpolator configured to interpolate a portion of the second signal in response to the components of the first and second signals. For example, such an apparatus may include an altitude-component determiner, a lapse-rate-component determiner, and an interpolator. The altitude-component determiner is configured to determine an altitude component of a first signal, and the lapse-rate-component determiner is configured to determine a lapse-rate component of a second signal having an empty portion. And the interpolator is configured to interpolate an altitude component of the second signal in response to the altitude component of the first signal, and to interpolate the empty portion of the second signal in response to the lapse-rate and altitude components of the second signal. 1. An apparatus , comprising:a first component determiner configured to determine a component of a first signal;a second component determiner configured to determine a component of a second signal; andan interpolator configured to interpolate a portion of one of the first and second signals in response to the components of the first and second signals.2. The apparatus of wherein the first and second signals respectively represent first and second physical quantities.3. The apparatus of wherein the first and second signals respectively represent first and second temperatures.4. The apparatus of wherein the first and second signals respectively represent first and second temperatures of first and second regions of a surface of a celestial body.5. The apparatus of wherein the first and second signals respectively represent first and second temperatures of first and second regions of a land mass.6. The apparatus of wherein the first and second signals respectively represent first and ...

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16-01-2014 дата публикации

SYSTEMS, METHODS, AND LOGIC FOR GENERATING STATISTICAL RESEARCH INFORMATION

Номер: US20140019090A1
Автор: CHEN Steve X.
Принадлежит: X&Y SOLUTIONS

In one embodiment, a system for generating a statistical analysis output is disclosed. The system receives and processes input from a user to perform statistical analysis and generate an output. The input includes at least one statistical variable from a plurality of statistical variables in a dataset, statistical modules adopted for analysis, and output formats. The system includes a processing unit configured to: automatically identify statistical variables in the dataset; automatically generate a program code for obtaining a variable distribution; select at least one statistical variable for statistical analysis; select one or more of the at least one statistical variable and automatically generate programs that implement the statistical functions for manipulating the variables; automatically perform statistical analysis based on the statistical modules by executing program codes associated with the modules; and automatically generate a program code for organizing outcomes of the statistical analysis into the user selected output formats. 1. Logic encoded in one or more non-transient tangible media that includes code for execution and when executed by a processor is operable to perform operations comprising:receiving a set of input including at least one statistical variable selected for analysis from a plurality of statistical variables contained in a dataset, one or more statistical modules adopted for specific analysis, and one or more output formats;automatically identifying each of the plurality of statistical variables in the dataset;for each identified statistical variable, automatically generating a program code for obtaining a variable distribution;selecting from the identified variables in the dataset at least one statistical variable for statistical analysis based on the variable distribution;if the user input includes a selection of one or more statistical functions for manipulating variables, selecting one or more of the at least one statistical ...

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23-01-2014 дата публикации

BASELINE PREDICTIVE MAINTENANCE METHOD FOR TARGET DEVICE AND COMPUTER PROGRAM PRODUCT THEREOF

Номер: US20140025315A1
Принадлежит: NATIONAL CHENG KUNG UNIVERSITY

A baseline predictive maintenance method for a target device (TD) and a computer program product thereof are provided. Fresh samples which are generated when the target device produces workpieces just after maintenance are collected, and a new workpiece sample which is generated when the target device produces a new workpiece is collected. A plurality of modeling samples are used to build a TD baseline model in accordance with a conjecturing algorithm, wherein the modeling samples include the new workpiece sample and the fresh samples. A TD healthy baseline value for the new workpiece is computed by the TD baseline model, and a device health index (DHI), a baseline error index (BEI) and baseline individual similarity indices (ISI) are computed, thereby achieving the goals of fault detection and classification (FDC) and predictive maintenance (PdM). 1. A baseline predictive maintenance method , comprising:collecting a plurality of fresh samples which are generated when a target device (TD) produces a plurality of workpieces just after maintenance;collecting a new workpiece sample which is generated when the target device produces a new workpiece, wherein each of the fresh samples and the new workpiece sample comprises a set of paired data consisting of a set of TD-related process data (X) and an actual representative value generated by the target device, and the set of TD-related process data (X) comprises a plurality of parameters;building a TD baseline model by using a plurality of modeling samples in accordance with a conjecturing algorithm, wherein the modeling samples include the new workpiece sample and the fresh samples; and{'sub': 'B', 'using the TD baseline model to compute a healthy baseline value (ŷ) of the target device when the new workpiece is produced, wherein the healthy baseline value is a predicted value of the actual representative value that the target device under a healthy status should have when producing the new workpiece.'}2. The baseline ...

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23-01-2014 дата публикации

ITERATIVE ESTIMATION OF SYSTEM PARAMETERS USING NOISE-LIKE PERTURBATIONS

Номер: US20140025356A1
Принадлежит: UNIVERSITY OF SOUTHERN CALIFORNIA

An estimating computer system may iteratively estimate an unknown parameter of a model or state of a system. An input module may receive numerical data about the system. A noise module may generate random, chaotic, or other type of numerical perturbations of the received numerical data and/or may generate pseudo-random noise. An estimation module may iteratively estimate the unknown parameter of the model or state of the system based on the received numerical data. The estimation module may use the numerical perturbations and/or the pseudo-random noise and the input numerical data during at least one of the iterative estimates of the unknown parameter. A signaling module may signal when successive parameter estimates or information derived from successive parameter estimates differ by less than a predetermined signaling threshold or when the number of estimation iterations reaches a predetermined number. 1. An estimating computer system for iteratively estimating an unknown parameter of a model or state of a system comprising:an input module that has a configuration that receives numerical data about the system;a noise module that has a configuration that generates random, chaotic, or other type of numerical perturbations of the received numerical data or that generates pseudo-random noise;an estimation module that has a configuration that iteratively estimates the unknown parameter of the model or state of the system based on the received numerical data and that uses the numerical perturbations or the pseudo-random noise and the input numerical data during at least one of the iterative estimates of the unknown parameter; anda signaling module that has a configuration that signals when successive parameter estimates or information derived from successive parameter estimates differ by less than a predetermined signaling threshold or when the number of estimation iterations reaches a predetermined number.2. The estimating computer system of wherein:the noise module ...

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30-01-2014 дата публикации

SYSTEM FOR IMPROVING PROBABILITY OF TRANSIENT EVENT DETECTION

Номер: US20140032150A1
Принадлежит: TEKTRONIX, INC.

A test and measurement instrument provides for increased transient event detection by adjusting data sampling periods. The test and measurement instrument includes a data sampler for acquiring first sampled data and a data processor structured to process the first sampled data. The data processor operates during a first data processing period. Also included in the instrument is a sample time adjustor structured to allow a user to select a time for the data sampler to acquire second sampled data. The time for the data sampler to acquire the second sampled data occurs during the first data processing period. The time for acquiring the second sampled data may be determined by generating a probability distribution function, then applying the distribution function to the available times during the first data processing period that the second sample data may be collected. Methods of use of the test and measurement instrument are also provided. 1. A test and measurement instrument comprising:a data sampler for acquiring first sampled data;a data processor structured to process the first sampled data, the data processor operating during a first data processing period; anda sample time adjustor structured to allow a user to select a time for the data sampler to acquire second sampled data that is during the first data processing period.2. The test and measurement instrument of claim 1 , in which the data processor is a frequency transform processor structured to perform one or more frequency transforms on the first sampled data.3. The test and measurement instrument of claim 1 , in which the second sampled data is fully acquired by the instrument at least a period of time before the completion of the first data processing period.4. The test and measurement instrument of claim 1 , in which the sample time adjustor includes a probability distribution function.5. The test and measurement instrument of claim 4 , in which a start time for the data sampler to acquire the second ...

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30-01-2014 дата публикации

Multisensor Management and Data Fusion via Parallelized Multivariate Filters

Номер: US20140032167A1
Принадлежит: Physical Sciences, Inc.

A system with multiple sensors is managed to determine which sensors to utilize when forming an estimate of the system state. A list of active sensor subsets is formed from multiple sensors. The list of active sensor subsets is represented by a list of differing vectors with indices enumerating the sensors of each sensor subset. Noise is filtered from a measurement of each sensor. State and covariance for each sensor of the multiple sensors is estimated based on prior measurements. A quality of service (QoS) metric is calculated for each sensor subset based on the estimated sensor state. The QoS metric is recorded in a QoS vector and the list of active sensors subsets is updated with the sensor subsets that have a QoS metric above a QoS threshold. The state and covariance estimates are combined to form the estimates of the system state and covariance. 1. A method of managing a system having multiple sensors to determine which sensors to utilize when forming an estimate of the system state , the method comprising:forming a list of active sensor subsets from the multiple sensors in the system, the list of active sensor subsets being represented by a list of one or more differing vectors, each of the one or more differing vectors including indices enumerating the sensors of an individual sensor subset;filtering noise from a measurement of each sensor of the multiple sensors;determining an estimated state and an estimated covariance for each sensor of the multiple sensors based on a prior measurement of each sensor of the multiple sensors;calculating a quality of service metric for each sensor subset based on the estimated state of each sensor of the multiple sensors, the quality of service metric being recorded in a quality of service vector;updating the list of active sensors subsets with the sensor subsets that have a quality of service metric above a quality of service threshold; andcombining the state estimate and the covariance estimate to form the estimate of the ...

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13-02-2014 дата публикации

Wireless Transmission Of Temperature Data For A Geographic Area

Номер: US20140046620A1
Принадлежит: Exergen Corporation

A user obtains an individual's body temperature data and transmits the data to a medical monitor (e.g., a medical device) for display. Additional data includes a timestamp and location of the body temperature data. Once the data is transmitted, a user may view the medical monitor for a temperature reading. For example, a doctor may take a patient's temperature and the temperature reading is displayed on a medical monitor. The body temperature data of each patient is detected using a preferred temperature detector, such as a temporal artery thermometer using an arterial heat balance approach. After collecting an individual's body temperature data, the body temperature data can be transferred to a processor. By sending body temperature data for many individuals for a geographic region, the processor can identify a pattern (e.g., a pandemic) in the body temperature data. 1. A method of identifying a disease outbreak , comprising:receiving at a processor, over wireless communications paths, body temperature data from a plurality of individuals from plural locations, each location transmitting data for multiple individuals from a common temperature detector; andin the processor, using statistical analysis of only the body temperature data from the plurality of individuals at the plural locations to determine a pattern in percentage of fevers per time period to indicate a disease outbreak in a geographic area.2. The method of further comprising scanning across the temporal artery for each individual to obtain body temperature data.3. The method of further comprising storing the body temperature data in a database in the processor.4. The method of wherein receiving the body temperature data comprises receiving cell phone signal transmission.5. The method of wherein the body temperature data is received in the form of a Short Message Service (SMS) claim 4 , text message claim 4 , or email message.6. The method of further comprising displaying the pattern to a user of the ...

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13-02-2014 дата публикации

METHOD FOR ADAPTIVE DATA ACQUISITION

Номер: US20140046631A1

Methods for adaptive data acquisition are disclosed herein. In one aspect, methods for adaptive data acquisition include performing a first sensing method on a signal having a plurality of components to determine the likelihood that a component is not a relevant signal component, retaining a portion of the signal components sensed using the first sensing method that are above a first threshold, performing a second sensing method on the signal components retained above a first threshold to determine the likelihood that a component is not a relevant signal component, wherein the second sensing method is more reliable than the first sensing method at determining the likelihood that a component is not a relevant signal component, and retaining a portion of the signal components sensed using the second sensing method that are above a second threshold. 1. A method for adaptive data acquisition , comprising:(a) performing, by a sensor in communication with a data processor, a first sensing method on a signal having a plurality of components and determining, by the data processor, a first probability that a component is not a relevant signal component;(b) comparing, by the data processor, the determined first probability for each of the plurality of components with a first threshold to determine a first subset of components that meet the first threshold;(c) performing, by the sensor, a second sensing method on the first subset of components and determining, by the data processor, a second probability that a component is not a relevant signal component; and(d) comparing, by the data processor, the determined second probability for each of the first subset of components with a second threshold to determine a second subset of components that meet the second threshold.2. The method of claim 1 , further comprising:(e) performing, by the sensor, a third sensing method on the second subset of components and determining, by the data processor, a third probability that a component ...

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27-02-2014 дата публикации

METHODS FOR JOINT CALLING OF BIOLOGICAL SEQUENCES

Номер: US20140058681A1
Принадлежит: REAL TIME GENOMICS, INC.

Methods and systems for simultaneously evaluating biological sequences across multiple population members, and methods and systems for simultaneously calling normal and cancerous biological sequences from a mixed sample containing normal and cancerous material are disclosed. This may be achieved by evaluating the probability of one or more hypothesis being correct for a plurality of population members based on biological sequence information for the population. For related family members, Mendelian inheritance may be integrated into the method. For populations, information from members under evaluation may be used to refine priors to more accurately call population members. Copy number variation, de novo mutations, and phenotypic traits and their genetic explanations may also be accommodated in the methods. Specific systems for implementing the methods are also disclosed. 1. A method of calling a target biological sequence of a biological sequence source based on a set of sequence reads , the method performed by one or more processors executing program instructions stored on one or more memories , the instructions causing the one or more processors to perform the method comprising:obtaining biological sequence read information from a target biological sequence source and a second biological sequence source, wherein the target source and the second source are genetically related; a set of sequence reads that correspond to the target biological sequence source;', 'a biological sequence of the target biological sequence source;', 'a set of sequence reads that correspond to the second biological sequence source; and', 'a biological sequence of the second biological sequence source; and', contamination of a set of sequence reads that correspond to a biological sequence source;', 'the copy number of a genomic sequence of a biological sequence source;', 'the presence of de novo mutation in a genomic sequence of a biological sequence source; and', 'a phenotypic trait;, 'one ...

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27-02-2014 дата публикации

METHODS FOR ASSESSING DRUG EFFICACY AND RESPONSE OF A PATIENT TO THERAPY

Номер: US20140058683A1
Автор: Slotman Gus J.
Принадлежит:

Methods of identifying, monitoring and matching patients with appropriate treatments using a systemic mediator-associated physiologic test profile are provided. The methods of the present invention increase the likelihood of demonstrating clinical efficacy in clinical trial datasets. 1. A method for analyzing clinical trial results for efficacy of a therapeutic agent comprising:(a) obtaining one or more prerandomization baseline parameters of subjects selected for a clinical trial for a therapeutic agent, wherein said prerandomization baseline parameters comprise one or more demographic variables, physiologic variables, gene expression profiles or results of hospital laboratory tests;(b) generating from the prerandomization baseline parameters systemic mediator-associated response test (SMART) profiles for the subjects receiving the therapeutic agent;(c) using statistical tests executed on a computer to compare the SMART profiles of subjects of step (b) that responded or failed to respond to the therapy; and(d) producing a control SMART profile as an output, wherein said control SMART profile comprises independent variables for subjects who responded positively to the therapeutic agent,thereby analyzing clinical trial results for efficacy of a therapeutic agent.2. A method for identifying a subject whose physiological responses to a disease or condition is matched to the mechanism of action of a therapeutic agent for the treatment of the disease or condition comprising:(a) obtaining one or more baseline parameters of a subject with a disease or condition, wherein said baseline parameters comprise one or more demographic variables, physiologic variables, gene expression profiles or results of hospital laboratory tests;(b) generating from the baseline parameters a systemic mediator-associated response test (SMART) profile for the subject;(c) using statistical tests to compare the SMART profile of the subject with one or more control SMART profiles comprising ...

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27-02-2014 дата публикации

METHOD AND DEVICES FOR DETERMINING NOISE VARIANCE FOR GYROSCOPE

Номер: US20140058704A1
Принадлежит: RESEARCH IN MOTION LIMITED

Methods and devices for determining a noise variance of an axis of a gyroscope are described. In one aspect, the method includes: representing a plurality of gyroscope readings for the axis in a histogram, the histogram including a plurality of bins associated with respective ranges; determining a bias for the axis of the gyroscope by identifying a concentration of the gyroscope readings within the histogram; and determining a noise variance for the axis of the gyroscope based on the histogram and based on the identified concentration of gyroscope readings. 1. A processor-implemented method of determining a noise variance of an axis of a gyroscope , the method comprising:representing a plurality of gyroscope readings for the axis in a histogram, the histogram including a plurality of bins associated with respective ranges;determining a bias for the axis of the gyroscope by identifying a concentration of the gyroscope readings within the histogram; anddetermining a noise variance for the axis of the gyroscope based on the histogram and based on the identified concentration of gyroscope readings.2. The method of claim 1 , wherein the bias for the axis of the gyroscope is determined based on bin populations of the bins and wherein the bin population for a bin identifies a total number of gyroscope readings associated with that bin.3. The method of claim 1 , wherein determining a noise variance for the axis of the gyroscope comprises:identifying one or more bins of the histogram that are adjacent to the bin containing the bias.4. The method of claim 3 , wherein determining a noise variance for the axis of the gyroscope further comprises:determining that the identified one or more bins represent noise associated with the gyroscope.5. The method of wherein determining a noise variance for the axis of the gyroscope comprises:fitting bin data associated with the identified one or more bins to a Gaussian curve; anddetermining the noise variance for the axis of the gyroscope ...

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06-03-2014 дата публикации

SYSTEM AND METHOD FOR DETERMINING A PROBABILITY OF WELL SUCCESS USING STOCHASTIC INVERSION

Номер: US20140067322A1

A system and a computer implemented method for determining a best well location from a plurality of possible well locations are described herein. The method includes drawing a plurality of earth models from a posterior distribution, wherein the posterior distribution is generated by stochastic inversion of existing data; calculating a well production at a plurality of proposed well locations within an earth model in the plurality of earth models using a relationship between the well production and earth parameters; calculating from the plurality of earth models, cost distributions using the relationship between well cost and the earth parameters; and calculating probability weighted values for the proposed well locations using probabilities from location dependent stochastic inversions as weights. 1. A computer implemented method for determining a best well location from a plurality of possible well locations , the method comprising:drawing, using the computer, a plurality of earth models from a posterior distribution, wherein the posterior distribution is generated by stochastic inversion of existing data;calculating, by the computer, a well production at a plurality of proposed well locations within an earth model in the plurality of earth models using a relationship between the well production and earth parameters;calculating, by the computer, from the plurality of earth models, cost distributions using the relationship between well cost and the earth parameters; andcalculating, by the computer, probability weighted values for the proposed well locations using probabilities from location dependent stochastic inversions as weights.2. The method according to claim 1 , further comprising claim 1 , prior to calculating the well production at the plurality of proposed well locations claim 1 , deriving the relationship between the well production and the earth parameters given a plurality of wells associated with production data.3. The method according to claim 2 , ...

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13-03-2014 дата публикации

DETERMINING A POLARIZATION-RELATED CHARACTERISTIC OF AN OPTICAL LINK

Номер: US20140071436A1
Принадлежит:

A polarization-related characteristic of an optical path is determined from a predetermined function of the mean-square of a plurality of differences between polarization-analyzed optical power parameters corresponding to pairs of wavelengths mutually spaced about a midpoint wavelength by a small optical frequency difference. At least some of the said differences correspond to wavelength pairs measured under conditions where at least one of midpoint wavelength, input state of polarization (I-SOP) or analyzed state of polarization (A-SOP) of a pair is different. 118. A method of measuring a polarization-related characteristic of an optical path () wherein light comprising polarized light is propagated , the method comprising the steps of using:{'b': 14', '20', '14', '14', '20', '14', '14', '20', '14', '20', '14', '20', '14', '45, 'polarization-controller-and-analyzer means (,A;A,B,;A,B,A; ,; ,C; A,) connected to the optical path at or adjacent either the proximal end thereof or a distal end thereof to control at least one of state of polarization (I-SOP) of light launched in the optical path and state of polarization (A-SOP) used to analyze light leaving the optical path,'}{'b': 22', '22', '22', '22, 'detecting means (; A,B; D) to detect the analyzed light and provide corresponding detection signals, and'}{'b': '40', 'processing means () to process the detection signals to derive said polarization-related characteristic,'}wherein said light leaving the optical path is analyzed to provide transmitted coherent optical power at each wavelength of light in each of at least two groups of wavelengths,{'sub': L', 'U, 'and wherein the lowermost (λ) and uppermost (λ) said wavelengths in each said group of wavelengths are separated by a first small optical frequency difference;'}and wherein each of the said at least two groups comprises a wavelength pair, said pair in each group defining a midpoint wavelength therebetween, and being mutually spaced by a second small optical- ...

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13-03-2014 дата публикации

AUTOMATIC SET-UP FOR INSTRUMENT FUNCTIONS

Номер: US20140074430A1
Принадлежит: Artium Technologies, Inc.

Machine-implemented methods and apparatuses to automatically set-up a signal processing system are described. The signal processing system is set to a first bandwidth. A sampling frequency of the signal processing system is set to a first sampling frequency. Next, first samples of first signals are received at the first bandwidth and the first sampling frequency. First parameters of the first signals based on the first samples are determined. Next, a second sampling frequency is determined based on the first parameters to sample second samples. The first parameters of the first signals may be a mean transit time, a minimum transit time, a mean frequency of the signals, and a standard deviation of the frequency of the signals. Next, a mixer frequency is determined based on the first parameters. A low pass filter is set based on the mixer frequency. 119-. (canceled)20. A machine-implemented method to adjust an aperture , comprising:measuring parameters of spherical objects passing through a first sample volume;determining a probability that more than one spherical object resides at a time in the first sample volume is less than a predetermined threshold based on the parameters; andadjusting the aperture based on the probability.21. The machine-implemented method of claim 20 , wherein the determining the probability includes applying a Poisson statistics.22. The machine-implemented method of claim 20 , wherein the measuring the parameters includes measuring a distance between the spherical objects.23. The machine-implemented method of claim 20 , wherein the measuring the parameters includes measuring an arrival rate of the spherical objects.2446-. (canceled)47. A system claim 20 , comprising:means for measuring parameters of spherical objects passing through a first sample volume;means for determining a probability that more than one spherical object resides at a time in the first sample volume is less than a predetermined threshold based on the parameters; andmeans ...

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20-03-2014 дата публикации

GUIDED BAYESIAN EXPERIMENTAL DESIGN

Номер: US20140081575A1
Принадлежит: SCHLUMBERGER TECHNOLOGY CORPORATION

A Bayesian methodology is described for designing experiments or surveys that are improved by utilizing available prior information to guide the design toward maximally reducing posterior uncertainties in the interpretation of the future experiment. Synthetic geophysical tomography examples are used to illustrate benefits of this approach. 1. A method for designing an experiment , comprising:selecting physical model parameters;selecting candidate physical observations using D-optimality augmented criteria;calculating a covariance matrix relating the physical model parameters to the candidate physical observations;calculating a set of physical observations from the selected candidate observations using the covariance matrix and the physical model parameters using a processor.2. The method of claim 1 , further comprising updating the covariance matrix.3. The method of claim 2 , wherein the updating comprises selecting at least one of the set of the physical observations.4. The method of claim 1 , further comprising repeating the calculating the set of observations.5. The method of claim 1 , wherein the calculating a covariance matrix comprises calculating a sensitivity matrix.6. The method of claim 1 , further comprising configuring survey equipment based on the set of physical observations.7. The method of claim 1 , further comprising assigning the physical model parameters to a probability density function.8. The method of claim 1 , wherein the calculating a set of physical observations comprises using observation noise.9. The method of claim 8 , wherein the using observation noise comprises a prior mean model claim 8 , a prior covariance matrix describing the uncertainty around the prior mean model claim 8 , a covariance matrix describing uncertainty around anticipated zero-mean observation noise claim 8 , or a combination thereof.10. The method of claim 1 , wherein each observation is associated with multiple measurements.11. The method of claim 10 , further ...

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