Жарияланымдар / Публикации
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- Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Development and Design of an Optical-Electronic System of Fiber-Optic Sensors Based on Inclined Fiber Bragg Gratings(2023-06-07); The object of research is an optical-electronic system for recording and processing signals from fiber-optic sensors. Due to the use of optical fibers as sensitive elements, there is no influence on the measurement result of electromagnetic fields, spurious electromagnetic radiation, channel crosstalk, there are no problems, electrical safety is significantly increased, there are no problems of arcing and sparking. A scheme of a receiving-transmitting module has been developed, which is additionally equipped with a preliminary protection and filtering system. Further, measuring tracks, microcontroller software and functional tests were ordered to determine the metrological properties of the proposed system.Signal integrity analysis is presented, which allows you to check whether the signals present in the device are correctly transmitted between their sources and receivers. The analysis of signal integrity is investigated, which is performed in two stages of the device design process. Modeling of the studied module in the specialized program Altium Designer. With the help of this program, potential problems were found, such as the occurrence of crosstalk between paths, the exact values of some elements, accurate analytical calculation. Learned an impedance analysis trace for a given connection's parameters, where the value affects the shape of the given path, its physical dimensions, distance from other paths, and other physical properties of the board. Optoelectronic system for recording and processing signals from fiber optic sensors based on Bragg fiber gratings resistant to electromagnetic interference and temperature, for use in modern systems for monitoring building structures, bridges, tunnels, dams, high-rise buildings, railways, oil platforms, buildings, pipelines.Цитирования (OpenAlex) 1 - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Hybrid deep neural networks for automated detection of coronary pathologies in angiographic video sequences(2025-12-30); Sergii V. PavlovCoronary artery disease (CAD) remains one of the most prevalent causes of death worldwide, demanding accurate and timely diagnosis to guide treatment. Coronary angiography is the clinical reference standard for visualizing arterial patency; however, its manual interpretation is labour-intensive and subject to considerable inter-observer variability. This study introduces a hybrid deep learning framework that fuses convolutional neural networks with long short -term memory units to exploit both spatial and temporal cues in cine angiography. After automated frame extraction, selection and normalization, sequences are processed end-to-end to detect the presence and type of clinically significant coronary pathology. Validation on an expert-labeled video dataset demonstrates robust performance (accuracy=0.88; precision=0.85; recall=0.92; F1-score=0.88; AUC≈0.91). Gradient-weighted class activation mapping highlights lesion-relevant vessel segments, supporting model interpretability. These findings confirm that the proposed CNN-LSTM architecture can reduce observer variability and accelerate decision-making by delivering consistent, automated assessment of angiographic studies. - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Optical Sensor System for 3D Jones Matrix Reconstruction of Optical Anisotropy Maps of Self-Assembled Polycrystalline Soft Matter Films(Multidisciplinary Digital Publishing Institute, 2024-02-29)Цитирования (OpenAlex) 26 - Некоторые метрики заблокированы вашиминастройками согласия
Тип записи:Публикация, Assembling and testing optoelectronic system to record and process signals from fiber-optic sensors(Institute of Advanced Engineering and Science (IAES), 2024-06-04); Beibut AmirgaliyevThe given research presents assembling and testing optoelectronic system to record and process signals from fiber-optic sensors. The main optoelectronic systems to record and process the signals from fiber-optic sensors are light source controller and optical power detector. There was assembled controller diagram, which apart from light source includes current source for its adequate operation, as well as the systems necessary for stabilizing its working point. The scheme was modelled for specifying nominal and maximum operation criteria. Construction has been designed in the way, that light source controller includes structures of the current regulation and stabilization super luminescent diode (SLED) and temperature stabilization. Apart from that, there was assembled the microsystem of optical power detector additionally to the light detector, which includes the microsystems of intensification and filtration of the signal measured, processing analog data into digital form, microcontroller, used for preliminary data analysis. Data of optoelectronic systems diagram to record and process the signals from fiber-optic sensors has high response speed, low noise level and sufficient progress.