2022 IEEE 5th International Conference on Electronics Technology (ICET)最新文献_第8页

A Rumor Detection Method Based on Multimodal Information Fusion 基于多模态信息融合的谣言检测方法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824021

Zhong Nanjiang, Zhou Guomin, Ding Weijie, Zhang Jiawen

引用次数: 1

Study on Abnormal Gate Structures of GaN HEMT Devices GaN HEMT器件异常栅结构的研究

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825070

Zhenglian Chen, Guojian Shao, Tao Chen, Bin Ren, Changmei Zhang, Jun Sun

引用次数: 0

Maintenance of Large Scale Wireless Sensor Networks 大规模无线传感器网络的维护

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825017

Quancheng Zhang, Chuchu Dong, Fengqi Yu

引用次数: 2

Research on Key Technologies of Energy Router for Urban Rail Transit 城市轨道交通能量路由关键技术研究

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825088

Xianyang Cui, Tao Jin, Qi Dai

引用次数: 0

Energy-Efficient Data Collection and Trajectory Design for UAV-Enabled Wireless Sensor Network 基于无人机的无线传感器网络节能数据采集与轨迹设计

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824168

Shanxin Zhang, R. Cao, Zefeng Jiang

{"title":"Energy-Efficient Data Collection and Trajectory Design for UAV-Enabled Wireless Sensor Network","authors":"Shanxin Zhang, R. Cao, Zefeng Jiang","doi":"10.1109/icet55676.2022.9824168","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824168","url":null,"abstract":"In wireless sensor networks (WSNs), unmanned aerial vehicles (UAV) has become an effective data collection technology, but the large amount of energy consumption generated in the data collection process seriously reduces the life of the wireless sensor network. Aiming at the problem of high energy consumption in the data collection process of wireless sensor networks, an energy-efficient data collection strategy based on sensor nodes (SNs) wake-up scheduling and UAV trajectory design is designed. Based on this scheme, a problem of minimizing the weighted energy consumption of UAV and SNs is constructed. This problem is described as a mixed integer non-convex programming problem, which is usually difficult to solve. Aiming at this problem, a joint optimization algorithm based on path discretization and successive convex approximation is proposed to obtain a local optimal solution that satisfies the KKT condition. Experimental results show that our proposed scheme can achieve significant network energy saving, and can achieve a flexible trade-off between the energy consumption of UAV and SNs.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"33 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126089275","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

A DLL-based Router Scheme for the Process-layer Network in Smart Substations 智能变电站过程层网络中一种基于dll的路由器方案

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824564

Rui Guo, Ai Zheng, Qi Huang, Huabo Sun, Lei Chen

引用次数: 0

Field Trials for 5G System Roaming as Multi-operator Network Sharing Scheme — User Mobility Problems and Solutions 5G系统漫游作为多运营商网络共享方案的现场试验——用户移动性问题与解决方案

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825028

Xiaoyin Zhao, Chunlei Hu, Congjie Mao, Peng Li, Jinyang Yu, Weiliang Xie

引用次数: 0

Application of Terahertz Technology in Delamination Defect Inspection for Vehicle High-Voltage Cable Terminals 太赫兹技术在车用高压电缆端子分层缺陷检测中的应用

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824001

Shuaibing Li, Bing-zheng Cao, Yongqiang Kang, Hongwei Li, Baopeng Lu, Haiying Dong

{"title":"Application of Terahertz Technology in Delamination Defect Inspection for Vehicle High-Voltage Cable Terminals","authors":"Shuaibing Li, Bing-zheng Cao, Yongqiang Kang, Hongwei Li, Baopeng Lu, Haiying Dong","doi":"10.1109/icet55676.2022.9824001","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824001","url":null,"abstract":"The cable terminals are subjected to the combined action of transient overvoltage impact, rapid alternating cold and heat and long-term high-frequency vibration, resulting in the stratification of its internal insulation layer, micro air gap and partial discharge. Therefore, this paper studies the influence of delamination defect in vehicle high-voltage cable terminals on terahertz time-frequency domain. A three-layer composite structure is established to simulate the internal defects of vehicle high-voltage cable terminals. The results show that the THz absorption spectrum can be used to quickly judge whether there are defects, and the ability of absorbing terahertz wave in the area with insulation delamination is greater than that in the normal area. The location and geometric information of the defect can be roughly determined by multi-mode terahertz imaging of the sample with insulation delamination defect, and the imaged defect areas are verified by the area detection method based on image segmentation. Finally, the thickness of stress tube layers, air gaps and main insulation layers can be quickly estimated by terahertz time domain spectrum. Through Terahertz Absorption spectrum, terahertz multimode imaging and terahertz time domain spectrum, the internal delamination defects of vehicle high-voltage cable terminals can be comprehensively characterized.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124530661","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

Remaining Useful Life Prediction of Proton Exchange Membrane Fuel Cell Based on Deep Learning 基于深度学习的质子交换膜燃料电池剩余使用寿命预测

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825412

Xiangwei Wang

{"title":"Remaining Useful Life Prediction of Proton Exchange Membrane Fuel Cell Based on Deep Learning","authors":"Xiangwei Wang","doi":"10.1109/icet55676.2022.9825412","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9825412","url":null,"abstract":"Proton Exchange Membrane Fuel Cell (PEMFC) undertakes limitations such as insufficient stability and short service life. Hence, it is imperative to predict the remaining service life (RUL) of PEMFC accurately, which is closely related to avoiding accident risks, detecting failures, and maximizing profits. In this paper, a novel deep learning algorithm is proposed for the RUL prediction of PEMFC, which comprises bi-directional long-short-term memory recurrent neural network (Bi-LSTM-RNN), attention mechanism, and deep neural network (DNN). Furthermore, the correlation coefficient analysis method is adopted to determine the stack voltage as the aging index. The proposed algorithm is compared with five other machine learning algorithms on a 1kW PEMFC stack data set provided by FCLAB. Experimental results demonstrate that the proposed algorithm has a significant improvement in prediction accuracy with mean absolute error (MAE), mean squared error (MSE) and root mean squared error (RMSE) on test set are 0.0044, 0.00003 and 0.0056 respectively. This indicates that the proposed RUL prediction method is effective and trustworthy. Finally, the RUL of the PEMFC stack under a constant operation condition is predicted based on the developed algorithm, and the result shows the RUL of this stack is 9467.8 hours.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129153161","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

Remote Calibration of Digital Input Electricity Meters 数字输入电表的远程校准

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824808

Wu Xia, Xiankun Qin, Wenxing Lu, Junhua Liang, Junyan Ou

引用次数: 0