2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)最新文献_第3页

Simulation Analysis of the Effect of Sensor Disturbances on Transient Electromagnetic Field Calibration 传感器扰动对瞬态电磁场标定影响的仿真分析

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908902

Yuanpeng Yang, Songgao Huang, Xinyang Shi, Chonghua Fang

引用次数: 0

Design of X-band Ultra-wide-angle Scanning Phased Array Antenna x波段超广角扫描相控阵天线设计

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909093

Jiaojun Lu, Hongchao Wu, Zhao Li, Jianjun Wu, Tianqing Ling

引用次数: 1

FRDVDnet: Towards Fast and Robust Deep Video Denoising FRDVDnet:实现快速鲁棒的深度视频去噪

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908989

Hao Yang, Dong Sun, Kai Tang, Jianhang Zou, Jianming Zhuo, Yijun Cai

引用次数: 0

Anti-jamming Method of Satellite Navigation Based on Synthetic Aperture 基于合成孔径的卫星导航抗干扰方法

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909188

Chuang Han, Shuozhe Li, Y. Gong, Zhaolin Zhang, Yuexian Wang, Ling Wang

引用次数: 1

An Improved HWA Algorithm for Blind Recognition of Linear Block Codes 线性分组码盲识别的改进HWA算法

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908813

Di Mao, Fuqiang Li

引用次数: 1

An FPGA-based Fall Detection System Using Millimeter-wave Radar and Convolutional Neural Network 基于毫米波雷达和卷积神经网络的fpga跌倒检测系统

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908958

Jun Cao, An Feng, Bo Wang

{"title":"An FPGA-based Fall Detection System Using Millimeter-wave Radar and Convolutional Neural Network","authors":"Jun Cao, An Feng, Bo Wang","doi":"10.1109/ICEICT55736.2022.9908958","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908958","url":null,"abstract":"Falls have become the second leading cause of unintentional injury death in the elderly. Timely detection of falls in the elderly can avoid greater injuries. Therefore, it is increasingly important to study fall detection systems. Based on this background, a fall detection system is designed in this paper. A fall detection system is usually divided into two parts: data acquisition and feature recognition. Due to its excellent confidentiality and applicability, millimeter-wave radar is used for data acquisition in this paper. Usually, the data collected by millimeter-wave radar is processed in a computer, and feedback is given to fall or not. But the data processing software in the computer brings great convenience to the system at the same time, it also limits the stability and portability of the system and hinders the practical application of the system. For this, the system introduces FPGA (Field Programmable Gate Array) to replace the computer for all the data processing including short-time Fourier transform and CNN (Convolutional Neural Network) feature recognition. Experimental results show that the system can detect falls accurately in simple cases, which preliminarily proved the feasibility of FPGA application in the fall detection system. The FPGA-based fall detection system can realize miniaturization and low price through tape-out after further improvement, and promote the practical application of the fall detection system.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133827087","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: 1

Performance Evaluation and ZigBee Smart Home Device Security Access Scheme 性能评估与ZigBee智能家居设备安全接入方案

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909098

Ben Zhou, Xindong Huang, Minghui You, Fawen He, Zhenzhe Zhong, Zuoshuai Wang, Shengzhe Ye, Hailin Chen, Luhui Zhao

引用次数: 0

Research on Auxiliary Detection Technology for Downlink Telemetry Parameter Anomaly Discovery 下行遥测参数异常发现辅助检测技术研究

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908802

Yuhai Chong, Mei Zhao, Dong Li, Baiyan Wang, Yulu Peng, Naisong Chen, Sheng Wang, Jie Hu, Qifu Luo

{"title":"Research on Auxiliary Detection Technology for Downlink Telemetry Parameter Anomaly Discovery","authors":"Yuhai Chong, Mei Zhao, Dong Li, Baiyan Wang, Yulu Peng, Naisong Chen, Sheng Wang, Jie Hu, Qifu Luo","doi":"10.1109/ICEICT55736.2022.9908802","DOIUrl":"https://doi.org/10.1109/ICEICT55736.2022.9908802","url":null,"abstract":"In order to solve the problem of efficient and automatic identification for the anomaly detection of carrier rocket downlink telemetry parameters, an automatic identification method based on the statistical characteristics of historical data is proposed for the slowly varying parameters. Under the condition of time slicing, the method first performs numerical filtering on historical measured data, and then Gaussian Process Regression (GPR) algorithm is used to locally model the segmented historical data. Secondly, the prediction output of the GPR sub-model based on each historical sample data is fused by the dynamic Gauss-Markov estimation algorithm to obtain the prediction value and prediction variance of the target data, and the parameter discrimination interval is constructed based on this. The real-time abnormal alarm is given when the statistical distribution of the measured target data of each sub segment in the discrimination interval exceeds the limit. Finally, after accumulating the complete and effective data segments of the measured parameters of the target, the global distribution is counted, and if it exceeds the limit, the parameter abnormality flag is given. Simulation results show that this method can effectively find abnormal parameters, and has strong ability to suppress random noise and more accurate parameter estimation ability.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115684834","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

A Novel Method of Beam Compression Based on Artificial Magnetic Conductor 一种基于人工磁导体的光束压缩新方法

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9908687

Qiang Gao, Baojun Niu, Hong-bing Sun, Wen Jiang

引用次数: 0

Natural Scene Text Detection Algorithm Based on Improved DBNet 基于改进DBNet的自然场景文本检测算法

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI: 10.1109/ICEICT55736.2022.9909509

Hui Chen, J. Liu, Weimin Zhou

引用次数: 0