2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)最新文献

A Defense Method Based on a Novel Replay Attack 一种基于新型重放攻击的防御方法

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362528

Juan Guo, Liang Chen, Haoran Sun, Aidong Xu, Zeguang Li, Yinwei Zhao, Yixin Jiang, Tengyue Zhang, Yunan Zhang

引用次数: 1

Research on Passive Method of Doppler Coefficient of Underwater High Speed Moving Target 水下高速运动目标多普勒系数被动测量方法研究

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362626

Nan Zou, Junyi He, Feng Liu, Chenmu Li, Yunbo Hao

{"title":"Research on Passive Method of Doppler Coefficient of Underwater High Speed Moving Target","authors":"Nan Zou, Junyi He, Feng Liu, Chenmu Li, Yunbo Hao","doi":"10.1109/ICPECA51329.2021.9362626","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362626","url":null,"abstract":"Doppler estimation is an important issue for passive positioning of flank arrays. In practical applications, Doppler compensation is an effective method to correct positioning errors caused by Doppler. To obtain the Doppler coefficient difference, this paper proposes two estimation methods: a method based on frequency domain cross-correlation (Hereinafter referred to as FDC method) and a method based on feature extraction (Hereinafter referred to as FE method). FDC method obtains the cross-correlation peak position of each subband Fourier series module of the receiving signal. FE method matches the pole position of the frequency domain waveform between different array elements and calculates the frequency shift to obtain the curve of the relationship between frequency and frequency shift. This paper comparatively analyzes the estimation error and computation amount of ambiguity function method (Hereinafter referred to as AF method), FDC method and FE method. Compared with AF method, the FDC and FE methods can achieve Doppler estimation and effectively reduce the estimation computation cost.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115719576","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

FPGA-based scalable and highly concurrent convolutional neural network acceleration 基于fpga的可扩展和高并发卷积神经网络加速

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362549

Hao Xiao, Kunhua Li, Mingcheng Zhu

{"title":"FPGA-based scalable and highly concurrent convolutional neural network acceleration","authors":"Hao Xiao, Kunhua Li, Mingcheng Zhu","doi":"10.1109/ICPECA51329.2021.9362549","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362549","url":null,"abstract":"This article proposes an efficient, low-latency, scalable, and low-error neural network acceleration architecture. Considering the performance requirements of high efficiency and low latency, the methods of multi-channel parallel computing between layers and pipeline design are adopted to accelerate the neural network. Then, based on Xilinx zynq-7000 FPGA, the acceleration strategy is realized, and the effect of calculating 28*28 handwritten images at 25.95us at a clock frequency of 200M is investigated. Further, the flexibility and scalability of the network is improved by adding a line buffer for variable image width and designing a mechanism for selectable convolution kernel size. Since the convolutional neural networks are based on floating-point operations, if the floating-point is converted to fixed-point when implemented on FPGA, there will not only be a loss of precision, but also introduce a tedious conversion work. Thus, our neural network uses 32-bit Floating point operations. Moreover, the task of handwritten digit recognition is performed on the MNIST data set, to experimentally evaluate our solution. Experiment results show that the neural network acceleration architecture proposed in this paper achieves better performance. Compare with the literature [4],[6], the calculation speed is significantly improved, and the calculation speed is increased by 101.6 times compared with the literature [4] Compared with the literature [6], there is a speed increase of 11.88 times.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124826352","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: 6

A practical on-site analysis method of smart electricity meter wiring with the reversed secondary polarity of voltage transformer 一种实用的电压互感器二次极性反置智能电表接线现场分析方法

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362658

Liu Chaonan, Wang Jinliang, Fan Hongzhen, Rong Xiao, Xu Jiaheng, Fan Youpeng

{"title":"A practical on-site analysis method of smart electricity meter wiring with the reversed secondary polarity of voltage transformer","authors":"Liu Chaonan, Wang Jinliang, Fan Hongzhen, Rong Xiao, Xu Jiaheng, Fan Youpeng","doi":"10.1109/ICPECA51329.2021.9362658","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362658","url":null,"abstract":"High-voltage three-phase three-wire energy meter is widely used in small current grounding system, whose neutral point ungrounded or grounded through arc suppression coil in 35kV and below voltage level. In particular, 10kV power customers mostly use this three-phase two-element electric energy meter to measure electric energy. Because the voltage transformer and current transformer are connected with the meter, the wiring is more complicated. After the meter have been installed, there may be some problems which will lead to incorrect measurement. Among these wrong wirings, the reverse polarity of the secondary side of the TV is difficult to distinguish. An initial judgment for TV secondary polarity reverse wiring can be obtained through conventional data measuring. Assuming that the uv (or wv) phase polarity is reversely connected, analyze the line voltages related to phase v, determine another line voltage vector in the vector diagram according to the angle between the two line voltage vectors on corresponding measuring elements, and identify current vector position through the phase angle from voltage vector. Then the accurate analysis and judgment of the three-phase and three-wire energy meter TV secondary polarity reverse wiring can be achieved.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125808957","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

Underwater target tracking method based on convolutional neural network 基于卷积神经网络的水下目标跟踪方法

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362582

Jiaqi Wang, Ruxin Fan

引用次数: 0

Wind Speed Data Repairing Method Based on Bidirectional Prediction 基于双向预测的风速数据修复方法

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362540

Xincheng Shen, Y. Qu, Shaoxiong Huang, Zhi Li, Kaifeng Zhang

引用次数: 0

Entity recognition model of power safety regulations knowledge graph based on BERT-BiLSTM-CRF 基于BERT-BiLSTM-CRF的电力安全法规知识图谱实体识别模型

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362652

Jianyou Yu, Jian Sun, Yunchang Dong, Dezhi Zhao, Xiaoyu Chen, Xianghong Chen

引用次数: 2

Design of the Frequency Modulated Continuous Wave (FMCW) Waveforms, Simulation of the Real Road Scenario and Signal Processing for the Automotive Adaptive Cruise Control 调频连续波(FMCW)波形设计、真实道路仿真及汽车自适应巡航控制信号处理

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362523

Xinyue Wang

引用次数: 2

Computer network security countermeasures based on big data 基于大数据的计算机网络安全对策

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362621

Ke Mei

{"title":"Computer network security countermeasures based on big data","authors":"Ke Mei","doi":"10.1109/ICPECA51329.2021.9362621","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362621","url":null,"abstract":"With the rapid development of science and technology in China, high-tech information technology is constantly developing and exploring, and is widely used in human work and life. Among them, computer technology based on big data is more representative. Big data technology is a technology of searching and analyzing collected information, which can solve many problems. Nowadays, big data technology plays an important role in construction, finance, trade and other fields. The increasingly innovative social demand puts forward new challenges to the development and application of computers, as well as new requirements for computer users. Network security is the basis of good application of computer technology. At the same time, “the wind of big data” also leads to many security problems. In view of the problems existing in the computer network in the era of big data, this paper studies how to effectively solve these problems, and uses data encryption technology to prevent them. The experimental results show that the data encryption technology can be effectively applied in the field of computer network security protection, and the accuracy rate of data information is as high as 95.3%. Hope to provide some help to the staff and users in related fields.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117042995","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

Research on Intelligent Drawing Technology of Steel Frame Structure 钢框架结构智能拉图技术研究

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362629

D. Cao, Weike Yang, Fen Li, Jie Zhao, Lifang Jia, Xiaoming Ma

引用次数: 0