2022 International Conference on Electrical Engineering and Photonics (EExPolytech)最新文献_第5页

Method for Increasing Fast Response of the Operational Amplifiers in the Inverting Connection with an Input Stage of the Dual-Input-Stage Class and a Push-Pull “Folded” Cascode 采用双输入级输入级和推挽“折叠”级联的反相连接中提高运算放大器快速响应的方法

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950851

N. Prokopenko, V. Chumakov, Dmitriy Klejmenkin

引用次数: 0

Improvement in Data Transmission Efficiency in Mobile 5G New Radio System using Filter Bank Multicarrier Signals 利用滤波器组多载波信号提高移动5G新无线电系统的数据传输效率

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950816

P. H., Bang Khuc, I. Petrov, Timur Lavrukhin, A. Gelgor

{"title":"Improvement in Data Transmission Efficiency in Mobile 5G New Radio System using Filter Bank Multicarrier Signals","authors":"P. H., Bang Khuc, I. Petrov, Timur Lavrukhin, A. Gelgor","doi":"10.1109/EExPolytech56308.2022.9950816","DOIUrl":"https://doi.org/10.1109/EExPolytech56308.2022.9950816","url":null,"abstract":"This paper explores the potential advantages of using FBMC signals instead of OFDM signals in 5G NR. Several approaches to the generation and reception of FBMC signals such as based on frequency spreading and using poly-phase structure are considered. Moreover, a new computationally efficient scheme of FBMC signal generation is proposed. Bit error ratio (BER) curves in standard EPA, EVA, and ETU channels with Doppler frequencies of 5, 70, and 300 Hz, respectively, are obtained. A comparison of the computational complexity of the various approaches for processing FBMC signals together and concerning the case of OFDM signals is performed. It is shown that the method of implementing FBMC/OQAM signals with frequency spreading provides a gain in spectrum efficiency and energy cost, but suffers the computational complexity of up to approximately 12 times compared with a method of implementing CP-OFDM signals. The proposed approach to the formation of FBMC signals can reduce the loss in computational efficiency from 3 to 4 times, while the values of the gain in spectral efficiency remain unchanged.","PeriodicalId":204076,"journal":{"name":"2022 International Conference on Electrical Engineering and Photonics (EExPolytech)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134146764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Application of Deep Learning Methods to Improve the Resolution of Small Objects Images in Aerial Photographs 应用深度学习方法提高航拍小目标图像的分辨率

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950964

Alexander Y. Ivanov, V. Pavlov, Nguyen Canh Minh

引用次数: 0

Convolutional Neural Networks for Processing Micro-Doppler Signatures and Range-Azimuth Radar Maps of Frequency Modulated Continuous Wave Radars 卷积神经网络处理微多普勒特征和调频连续波雷达距离-方位雷达图

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950901

Artem A. Mardiev, V. Kuptsov

{"title":"Convolutional Neural Networks for Processing Micro-Doppler Signatures and Range-Azimuth Radar Maps of Frequency Modulated Continuous Wave Radars","authors":"Artem A. Mardiev, V. Kuptsov","doi":"10.1109/EExPolytech56308.2022.9950901","DOIUrl":"https://doi.org/10.1109/EExPolytech56308.2022.9950901","url":null,"abstract":"The article is devoted to the development of algorithms for radar data processing of continuous-wave radars using convolutional neural networks. The aim of the work is to develop an algorithm for recognizing micro-Doppler signatures based on convolutional neural networks, as well as to develop an algorithm for recognizing range-azimuth radar maps based on convolutional neural networks using video images as training masks. The work was carried out using the Python language, the Tensorflow and Keras machine learning libraries, the Matplotlib library for working with graphs and images. The interactive cloud environment Google Colab was used to train neural networks. The results of the work are the trained convolutional neural networks that are able to effectively recognize and classify unmanned aerial vehicles, cars, cyclists and pedestrians. The developed algorithms can be used in computer vision systems for analyzing radar data. The results of the work show the possibility of using convolutional neural networks in the advanced driver assistance systems of unmanned vehicles.","PeriodicalId":204076,"journal":{"name":"2022 International Conference on Electrical Engineering and Photonics (EExPolytech)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124538758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EDA Signal Processing Algorithms to Study the Influence of Flicker on EDA Signal EDA信号处理算法研究闪烁对EDA信号的影响

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950849

Wang Menghui, Wang Xiaofei, Zhao Yi, Ren Jie, Song Jian

引用次数: 0

Photoplethysmogram Parameters Change Depending on Sensor Positioning 光电容积图参数的变化取决于传感器的定位

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950818

I. Kolokolnikov, E. Savchenko, E. Nepomnyaschaya

引用次数: 0

A Memorized Recurrent Neural Network Design for Wide Bandwidth PA Linearization 一种记忆递归神经网络设计用于宽带PA线性化

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950881

Baitao Gong, Ziyang Feng, Cen Liu, J. Wang, Chao Zhang, Changyong Pan, Yonglin Xue

引用次数: 1

Section 1 Circuits & Systems for Telecommunications 第一节电信电路和系统

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/eexpolytech56308.2022.9950978

引用次数: 0

Comparison of Spectral Efficiency of FTN -Signaling with Coherent and Noncoherent Detection FTN信令相干和非相干检测的频谱效率比较

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950789

S. Zavjalov, Vladimir Prokhorov, A. M. Chudnov

引用次数: 6

Beta-active Microlayer Selective Deposition on the Tantalum Plate by Ion-Plasma Technology 离子等离子体技术在钽板上选择性沉积β -活性微层

2022 International Conference on Electrical Engineering and Photonics (EExPolytech) Pub Date : 2022-10-20 DOI: 10.1109/EExPolytech56308.2022.9950958

A. Petrovskaya, A. Tsyganov, Daniil A. Blokhin, S. Surov

{"title":"Beta-active Microlayer Selective Deposition on the Tantalum Plate by Ion-Plasma Technology","authors":"A. Petrovskaya, A. Tsyganov, Daniil A. Blokhin, S. Surov","doi":"10.1109/EExPolytech56308.2022.9950958","DOIUrl":"https://doi.org/10.1109/EExPolytech56308.2022.9950958","url":null,"abstract":"In this paper we provide the experimental confirmation of the carbon atoms layer selective deposition on the tantalum plate by ion-plasma technology developed for irradiated reactor graphite deactivation. The considered variant of the ion-plasma deactivation technology is based on the large area of irradiated reactor graphite surface sputtering by high pressure “shortened” discharge in argon and selective deposition of the beta-active micro layer enriched with carbon-14 radionuclides on the tantalum plate. The selective separation of radioactive metal impurities and carbon-14 is carried out by differentiation with respect to sputtered atoms condensation temperature. Non-irradiated reactor grade graphite samples (GR-280) containing metal impurities on the surface due to industrial fabrication reasons were used in our experiment. Selective deposition of the carbon layer on the tantalum plate was confirmed by means of Scanning Electron Microscopy (SEM) with X-ray microanalysis. The beta-radiolayer enriched by carbon-14 is of interest for the fabrication of new materials like a beta-active “nano-micro-sandwich” that can be used for the manufacturing of new beta-voltaic batteries - vacuum-beta-cells (VBC) or for medical brachytherapy purposes.","PeriodicalId":204076,"journal":{"name":"2022 International Conference on Electrical Engineering and Photonics (EExPolytech)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127029596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0