2022 IEEE 5th International Conference on Electronics Technology (ICET)最新文献_第7页

The Target Detection Method of Pulse-Doppler Radar Based on Graph Attention Networks 基于图注意网络的脉冲多普勒雷达目标检测方法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824889

Yang Yang, Yang Zhao, Haibo Wang, Dong Cao, Linyan Liu

引用次数: 0

Research on Bearing Digital Twin Modeling and Residual Life Predictive Simulation Based on Deep Learning 基于深度学习的轴承数字孪生建模及剩余寿命预测仿真研究

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824825

Jieting Huang, Tan Li, Weining Song, Zhiming Zheng

引用次数: 0

Rating the Severity of Toxic Comments Using BERT-Based Deep Learning Method 使用基于bert的深度学习方法对有毒评论的严重程度进行评级

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825384

Ziyu Zhai

{"title":"Rating the Severity of Toxic Comments Using BERT-Based Deep Learning Method","authors":"Ziyu Zhai","doi":"10.1109/icet55676.2022.9825384","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9825384","url":null,"abstract":"With the integration of Internet and smartphones into people’s lives, toxic comments become ubiquitous on various online social media. These comments hinder seriously the construction of a safe and healthy network environment, leading to a great demand for automated methods which can effectively identify such harmful information and deal with it in a timely manner. To address this challenge, we propose a BERT-based deep learning method in this paper to rate the severity of toxic comments. On the basis of the text dataset provided by Jigsaw, BERT-based backbones (RoBERTa and DeBERTa) are trained to extract contextualized embeddings from sentences. After that, corresponding severity scores of comments are calculated by the subsequent head layers, where the head is chosen from the multilayer perceptron, convolutional neural network, and attention structure. After applying the K-Fold cross validation and an average ensemble of different models, our method achieves a rank 28/2301 (top 1.2%) in the leaderboard of Jigsaw Rate Severity of Toxic Comments Kaggle competition. This result can get a silver medal in this competition, and proves that our model can be an effective approach to rate precisely the severity of a toxic comment. This work can remarkably reduce the workload of manual review of Internet content and help build a more harmonious online community environment.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"8 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":"131133265","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: 2

Clock Optimization Techniques 时钟优化技术

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9823968

Ang Boon Chong, Tan Say Hong, Koh Jid Ian, Mohamad Halim Izzat, Loo Gin Hao, Chin Kevin Che Chau

引用次数: 2

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

IoT Warehouse Management System Based on ACO Path Planning 基于蚁群算法路径规划的物联网仓库管理系统

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824705

Fucheng Men, Junmei Guo, Yizhong Luan

{"title":"IoT Warehouse Management System Based on ACO Path Planning","authors":"Fucheng Men, Junmei Guo, Yizhong Luan","doi":"10.1109/icet55676.2022.9824705","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824705","url":null,"abstract":"Current storage management processes involving storage equipment suffer from Automated Guided Vehicle (AGV) path planning problems and rely on recording cargo and information manually. Hence, storage facilities present a low equipment operation efficiency due to recording errors and preserving storage data in paper, which is easy to lose. Therefore, this paper develops an Ant Colony Optimization (ACO) path planning-based IoT warehouse management system, relying on an ant colony algorithm and IoT technology. The proposed system collects and processes the forklift’s data through the vehicle’s intelligent terminal and exploits an optimized ant colony algorithm to realize the forklift’s real-time positioning, over-speed alarm, and path planning. Data transmission between the vehicle terminal and the warehouse management platform is established through the MQTT protocol. Finally, the entire system is monitored and managed through a WEB browser, with the MySQL database employed for persistent data storage. Adopting the developed non-contact warehouse management method centralizes and networks the scattered data in the warehouse management process, improving warehouse logistics efficiency.","PeriodicalId":166358,"journal":{"name":"2022 IEEE 5th International Conference on Electronics Technology (ICET)","volume":"8 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":"122526454","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

Renewable Energy Capacity Credit Assessment Method Considering Source-load Correlation 考虑源负荷相关性的可再生能源容量信用评估方法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9825300

Y. Mi, Yongji Cao, Hengxu Zhang, Jinye Yang, Chen Li, Leshu Sun

引用次数: 1

Dual Mix-up Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction 机器剩余使用寿命预测的双混合对抗域自适应

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824464

Yanjun Dong, Chunhua Zhou, Zhou Wu, Mianzhi Cheng

{"title":"Dual Mix-up Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction","authors":"Yanjun Dong, Chunhua Zhou, Zhou Wu, Mianzhi Cheng","doi":"10.1109/icet55676.2022.9824464","DOIUrl":"https://doi.org/10.1109/icet55676.2022.9824464","url":null,"abstract":"Remaining useful life (RUL) prediction is one of the core issues in the equipment maintenance process. It aims to accurately forecast machines’ run-to-failure life span using previous and current state data. As various data-driven models are proving to be effective, because RUL labels for machines in particular conditions are difficult to obtain, domain adaptation approaches begins to be explored in the RUL prediction issue. We propose a novel Dual Mix-up Adversarial Domain Adaptation (DMADA) approach to further improve the RUL forecasting accuracy, building on existing RUL domain adaptation studies. In DMADA, both time-series mix-up and domain mix-up regularization are conducted. Virtual samples generated by linear interpolation lead to enriched and more continuous sample space. The linear interpolation encourages consistency of prediction in-between samples and allows the model to explore the feature space more thoroughly. At the same time, the domain mixup conserves the invariance of learned features. The two mixup regularizations combined promote both the transferability and the discriminability of extracted features, which is essential to satisfactory unsupervised domain adaptation performance. Thorough experiments on the C-MPASS dataset are conducted and satisfactory results prove the proposed approach effective.","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":"116291156","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

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 Novel Meshless Element Method for Elliptic Equation 一种新的椭圆方程无网格元法

2022 IEEE 5th International Conference on Electronics Technology (ICET) Pub Date : 2022-05-13 DOI: 10.1109/icet55676.2022.9824816

Xiaosong Zhu, Xuanhong Liang, Yunhao Qiu, Youyuan Wang

引用次数: 0