68 research outputs found
Electronic ballast for high pressure sodium lamp as a power source
Проаналізовано резонансний інвертор напруги як вихідний каскад електронного пускорегулювального апарата (ЕПРА) для живлення натрієвих ламп високого тиску (НЛВТ). Розглянуто підтримання потужності НЛВТ в області допустимих значень за допомогою ЕПРА, побудованого за розімкненою структурою, впродовж усього терміну її експлуатації.The voltage resonant inverter is an output stage of electronic ballast for high-pressure sodium lamps operation is analyzed. The maintenance of power of high pressure sodium lamp in operation area during the lamp aging by electronic ballast with open-loop structure is considered
The operator of the transformation of the scale in the tasks of modeling and analysis of cycle signals
У роботі дано означення ізоморфних відносно порядку та значень циклічних функціональних відношень, досліджено дію оператора перетворення шкали на циклічні детерміновані та випадкові функції, а також досліджено дві його форми – оператор динамічного масштабування та оператор динамічного зсуву. Записано аналітичні співвідношення між функціями ритму циклічних функціональних відношень, що пов’язані через закони динамічного зсуву та масштабування.The definition of the isomorphous cycle functional relations in sense of order and the meanings is given in the papers. The action of the operator of scale transformation on the cycle determined and random functions is studied. Two its forms – the dynamical scaling operator and dynamical displacement operator are studied also. The analytical dependences between the functions of the rhythm of the cycle functional relations by the laws of the dynamical displacement and scaling are written in this work
Some specialities and analytical dependences in the tasks of spectral analysis and synthesis of signals on basis of their model in the form of cyclic function
У роботі обґрунтовано використання оператора перетворення шкали в задачах спектрального аналізу та синтезу сигналів. Введено поняття кратної ритмічної пов’язаності циклічних функцій та кутової частоти для довільної (детермінованої та стохастичної) циклічної функції неперервного аргументу. Встановлено аналітичний зв’язок між функцією ритму та кутовою частотою циклічної функції неперервного аргументу. Запропоновано підхід до спектрального аналізу та синтезу циклічних функцій.In the work, has been proved the use of the scale transformation operator in the task of spectral analysis and synthesis of signals. The concept of multiple rhythmical connection of cyclic functions and the concept of angular frequency for arbitrary determined and random cyclic function of uninterrupted argument have been introduced. The analytical connection between rhythm function and angular frequency of the cyclic function of uninterrupted argument has been set up. An approach to spectral analysis and synthesis of cyclic functions has been suggested
Recommended from our members
Model for Determining the Psycho-Emotional State of a Person Based on Multimodal Data Analysis
Data Availability Statement:
The data supporting this study’s findings are openly available in https://doi.org/10.6084/m9.figshare.23596362.v1 (accessed on 1 September 2022). Datasets are used for different models’ performance evaluation, namely: FER: fer2013: https://www.kaggle.com/deadskull7/fer2013 (accessed on 1 September 2022) and CK + 48 five emotions: https://www.kaggle.com/gauravsharma99/ck48-5-emotions (accessed on 1 September 2022); SER: RAVDESS Emotional speech audio: https://www.kaggle.com/uwrfkaggler/ravdess-emotional-speech-audio (accessed on 1 September 2022); TER: Text-Emotion-detection: https://www.kaggle.com/dataset/f10c38f8f356a43b344ca82476b6b32b5d31b99af19276ba1f7846004c0851f2 (accessed on 1 September 2022); Datasets from the Internet inside the project: https://drive.google.com/drive/folders/1ZV3ceCjNND7xcUxbsJb57aitTpUbcYa9?usp=sharing (accessed on 1 September 2022); Videos for tests from YouTube: (1) Biden Delivers Remarks On Inflation_NBC News—https://www.youtube.com/watch?v=ckCOF719atE (accessed on 1 September 2022); (2) Boris Johnson_Ukraine will win war and ‘be free’—https://www.youtube.com/watch?v=WPM8Pvgkz7Y (accessed on 1 September 2022); (3) Father’s final words to his dying son!—https://www.youtube.com/watch?v=C3hABRHmQoo (accessed on 1 September 2022); (4) Minecraft Warden Update is a NIGHTMARE!—https://www.youtube.com/watch?v=2osdz9Z5JKY (accessed on 1 September 2022). Video for Live Test: https://drive.google.com/drive/folders/1wAR2CdlGIEtOSjKv7T9e-gQhBHIAiLLM?usp=sharing (accessed on 1 September 2022).The paper aims to develop an information system for human emotion recognition in streaming data obtained from a PC or smartphone camera, using different methods of modality merging (image, sound and text). The objects of research are the facial expressions, the emotional color of the tone of a conversation and the text transmitted by a person. The paper proposes different neural network structures for emotion recognition based on unimodal flows and models for the margin of the multimodal data. The analysis determined that the best classification accuracy is obtained for systems with data fusion after processing each channel separately and obtaining individual characteristics. The final analysis of the model based on data from a camera and microphone or recording or broadcast of the screen, which were received in the “live” mode, gave a clear understanding that the quality of the obtained results is highly dependent on the quality of the data preparation and labeling. This is directly related to the fact that the data on which the neural network is trained is highly qualified. The neural network with combined data on the penultimate layer allows a psycho-emotional state recognition accuracy of 0.90 to be obtained. The spatial distribution of emotion analysis was also analyzed for each data modality. The model with late fusion of multimodal data demonstrated the best recognition accuracy.The National Research Foundation of Ukraine funded this research under project number 2021.01/0103 and British academy fellowship number RaR\100727
- …