Many tasks from the natural and engineering sciences require precision solutions with complex curves. The main obstacle is the lack of the necessary mathematical apparatus. The analysis of symmetries on the Euclidean plane by Dieudonne and the figure by Weyl allowed us to formulate a new method for obtaining the parameters of linear transformation alternative to classical. It can be used for an ellipse, hyperbola, as well as complex flat curves. The method is analyzed for trajectories having symmetries. A theorem to obtain the parameters of the transformed curve in the general case is formulated. Theoretical calculations and the results of experimental studies using the method of geometric modeling are given. The method is very new, so it may not work for some curves. There is the possibility of obtaining it, since the research uses the simplest apparatus.
УДК 616-7(045) К. С. Строканев, магистрант А. В. Коробейников, кандидат технических наук В. А. Степанов, кандидат технических наук ИжГТУ имени М. Т. Калашникова СИСТЕМА ФОТОПЛЕТИЗМОГРАФИИ ПО ВИДЕОИЗОБРАЖЕНИЮ ЛИЦА С ИСПОЛЬЗОВАНИЕМ ЭЙЛЕРОВА УСИЛЕНИЯ Рассматривается система фотоплетизмографии по видеоизображению лица человека. Обосновывается актуальность развития средств медтехники на основе фотоплетизмографии. Описана разработанная система, состоящая из подсистем: выделения области на видеоизображении, предобработки видеоизображения и регистрации сигнала пульсограммы. Для предобработки видео используется Эйлерово усиление, что существенно повышает качество регистрируемого сигнала пульсограммы.
Despite the Stalinist myth, it was not the Bolsheviks but Indigenous intellectuals who introduced autonomy as a form of post-colonial settlement during the crisis and collapse of the Russian Empire to Siberia and Central Asia. Employing a comparative perspective, this article traces the development and implementation of two autonomous projects in Asian Russia. The Buryat-Mongol and Kazakh (Alash) Indigenous intellectuals synthesized local ideas and the globally circulating notions of national self-determination, enlightenment and democracy when articulating political unity of Indigenous peoples in national terms. By advocating their broader representation in existing and envisioned power structures they fought against discrimination and protected native languages and other forms of cultural expression from assimilation. This article shows that these Indigenous intellectuals were not silent recipients of the policies coming from the imperial and post-imperial centers but actively engaged in designing and ensuring the future of their communities.
Рассматриваются объективные методы оценки качества речевого сигнала: 1) Perceptual Evaluation of Speech (PESQ, рекомендация МСЭ-T P.862) - оценка восприятия качества речи, 2) Listening Quality Objective (LQO, рекомендация, МСЭ-T P.800.1) - качество прослушивания. Приведено краткое описание и схемы работы методики PESQ и формулы для преобразования оценок Raw MOS в MOS-LQO и обратно. Для тестирования были выбраны низкоскоростные вокодеры: 1) MEPLe, 2) Speex, 3) Codec2. Тестирование вокодеров проводилось на битовых скоростях от 700 до 4800 бит/с. Для тестирования использовались аудиофайлы артикуляционных таблиц количеством 20 записей (wav, 8000 КГц, 16 бит, моно). В результате тестирования были построены таблицы и графики для Raw MOS и MOS-LQO оценок выбранных вокодеров. При анализе результатов экспериментов сделан вывод об эффективности применения объективных методов оценки качества речи, и в качестве перспективного для дальнейших разработок вокодера был выделен MELPe, обеспечивающий на битовых скоростях 1200 и 2400 бит/с оценку качества MOS соответственно 2,9...3,2 и 3,0...3,3. Вокодер Speex показал сравнимые с MELPe результаты оценки при большей битовой скорости (4800 бит/с), а вокодер Codec2 показал результаты оценки ниже, чем MELPe.
The analysis of electrocardiogram signal morphology based on convolutional neural network is considered. Input data is obtained by splitting the signal into cardiac cycles. The calculation the average cycle is performed to exclude the artefacts. The Haar wavelet transform of the average cycle is performed. The images of size 200x6 are input data for the recognition system: 200 – number of counts constituting the cycle; 6 – number of Haar transform time scales. This work is a reconsideration of the previous work of the authors. The training samples base of marked cardiac cycle segments is the same (1500 cycles): the average cycle and the segment’s start and end indexes. In the previous work, the original composite system consisting of several modules was used as a recognition system. In current work it is proposed to use the convolutional neural network with the special structure: 4 convolutional layers, 2 dense layers, and 200 outputs for every of 3 segment. The recognition system based on neural network showed results slightly superior to the previous system. The percent of acceptable localization of the segments is the following: P – 82.2%, QRS – 88.7%, and T – 85.4%. The proposed system effectively solves the problem using the standard modules of modern artificial neural networks.
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