2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献_第6页

An Adaptive Optimal Control Design for Mobile Robots with A Symmetrical Schematic 具有对称原理图的移动机器人自适应最优控制设计

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042885

Yung-Hsiang Chen, C. Chao, Yung-Yue Chen

引用次数: 0

Analysis and Research on Performance of Sleep Safety Monitoring System Based on WiFi Sensing 基于WiFi传感的睡眠安全监测系统性能分析与研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042921

Yi Wang, Haoran Yang, Jun Wang

引用次数: 0

Study on Landscape Pattern of Houguan Lake Wetland Park in Wuhan Based on Data Analysis of Arc GIS Software 基于Arc GIS数据分析的武汉后官湖湿地公园景观格局研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042945

Youjoun He, Li Yan

引用次数: 0

Efficient Hiring Analysis and Management Using Artificial Intelligence and Blockchain 使用人工智能和b区块链的高效招聘分析和管理

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042815

Gowda A G Aishwarya, Hui-Kai Su, W. Kuo

{"title":"Efficient Hiring Analysis and Management Using Artificial Intelligence and Blockchain","authors":"Gowda A G Aishwarya, Hui-Kai Su, W. Kuo","doi":"10.1109/ECICE55674.2022.10042815","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042815","url":null,"abstract":"The analysis of interviewing a candidate is a crucial part of building an efficient team for any organization. The right choice can effectively help produce quality work. As the interviewing environment is diversified into online and offline, based on the recent pandemic issues. The tracking of individuals validity and their work quality is often unclear. This has created a substantial loss for the organization choosing wrong candidates during this interview process. There are several hardships through remote hiring, where companies often find it difficult to validate their real identity due to proxysomeone else speaks in the background. Whereas offline hiring sometimes does not produce potential initial screening, making it difficult to find the right candidate. To solve all these hiring issues and help both companies and candidates we are producing a potential algorithm which helps review candidates and analyses their curriculum vitae and monitors the candidates throughout the interview process and furnishes detail report. The report will provide the candidates technical ability, culture fit data and many more factors that help choose the best one for the open position. The candidates can also reproduce such data along with their resume to companies to strengthen their ability of talent. This helps job searching candidates monitor and work through the gaps and make the best out of their skillset. The obtained data can be stored on to blockchain based on candidates’ choice, where several hiring organizations can find talents with less efforts.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128695367","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

Prediction of Remaining Battery Life for Light Vehicles 轻型汽车电池剩余寿命预测

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042949

Nian-Ze Hu, You-Xing Zeng, Bo-An Lin, Ruo-Wei Wu, You-Shin Lin, Kai-Hsun Hsu, Shang-Wei Liu, Tun-Chuan Chang, Chun-Min Tsai

引用次数: 0

Target Tracking Algorithm Combining Twin Network and Semantic Segmentation 结合双网络和语义分割的目标跟踪算法

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042935

Nan Lin, Kui Deng, Xu Zhou

{"title":"Target Tracking Algorithm Combining Twin Network and Semantic Segmentation","authors":"Nan Lin, Kui Deng, Xu Zhou","doi":"10.1109/ECICE55674.2022.10042935","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042935","url":null,"abstract":"Target tracking is widely used in automatic monitoring, vehicle navigation, video marking, humancomputer interaction, and automatic driving scenes. However, the accuracy of target tracking is limited by the influence of object deformation, lighting, occlusion, background interference, and other factors. In this study, the tracking accuracy of the twin network target tracking algorithm is reduced under the conditions of object deformation, illumination, occlusion, background interference, and so on. SiamUNet is a three-twin network target tracking framework proposed in this study. The basic network structure of SiamUNet is U-NET. The algorithm uses four-layer feature extraction, and after feature fusion and a four-step up-sampling process, the semantic information and background information of the target is fully utilized. At the same time, SiamUNetjudges whether each pixel belongs to the target by predicting the binary segmentation mask of the target in each frame of the video to obtain more accurate target information. SiamUNet was evaluated on VOT-2021, OTBIOO, and OTB50 datasets and compared with five popular trackers. Experimental results showed that SiamUNet had better tracking.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125818847","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

Development of Human-machine Interactive Interface for Hosiery Waterproof Coating Production Line 袜子防水涂料生产线人机交互界面的开发

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042839

Chun-Ching Hsiao, Han Chen

引用次数: 0

Analysis and Research on YOLOv5s Vehicle Detection with CA and BiFPN Fusion 基于CA和BiFPN融合的YOLOv5s车辆检测分析与研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042933

Muyang Lin, Zhiwen Wang, Lincai Huang

引用次数: 1

Research and Application of Internet of Things in Production and Risk Management 物联网在生产与风险管理中的研究与应用

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042851

Shiyi Wu

引用次数: 0

Research on Intelligent Construction of China English Network New Words Database Based on Adjacent Entropy Recognition Algorithm 基于相邻熵识别算法的中国英语网络新词库智能构建研究

2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2022-10-28 DOI: 10.1109/ECICE55674.2022.10042904

Y. Zu

{"title":"Research on Intelligent Construction of China English Network New Words Database Based on Adjacent Entropy Recognition Algorithm","authors":"Y. Zu","doi":"10.1109/ECICE55674.2022.10042904","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042904","url":null,"abstract":"With the development and popularization of the network, the network plays an important role in people’s daily life, work, and the dissemination of social hot information. Most of the online Chinese English neologisms are widely disseminated through the Internet platform and are known and used by people. New word recognition plays an important role in Chinese word segmentation and information retrieval. With the emergence of a large number of new words in China English, the lack of a China English neologism database has become a major obstacle to the study of China English. New word recognition is a major technical issue in building a corpus. To solve the problem that the internal cohesion of words in the existing point mutual information and low adjacency entropy of new word recognition algorithms, a new word recognition algorithm of China English is proposed. The algorithm also solves the problem of the single threshold setting of point mutual information of the threshold invalid phrases, and the low threshold of new word groups by using point mutual information to identify new words. The experimental results show that, under the same data and experimental environment, the method improves the accuracy, recall, and F values, which is effective and feasible for corpus construction.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131187745","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