2020 13th International Symposium on Computational Intelligence and Design (ISCID)最新文献

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Improvement of Genetic Algorithm and the Application in Computer Simulation Model of O2O Delivery Strategies 遗传算法的改进及其在O2O配送策略计算机仿真模型中的应用

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00072

Guangyu Zou, Yonglin Li

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引用次数: 1

Research on the Effect of Shift Work System on Rail Transit Drivers’ Sleep and Fatigue 倒班工作制对轨道交通驾驶员睡眠和疲劳的影响研究

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00066

Shoufang Dong, Tingting Zhang, Haiyan Zhu, Kaixin Li, Aili Wang

{"title":"Research on the Effect of Shift Work System on Rail Transit Drivers’ Sleep and Fatigue","authors":"Shoufang Dong, Tingting Zhang, Haiyan Zhu, Kaixin Li, Aili Wang","doi":"10.1109/ISCID51228.2020.00066","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00066","url":null,"abstract":"The shift work system has a certain interference effect on the physiology and psychological state of rail transit drivers. Existing studies have constructed fatigue analysis methods and indicators, but have not analyzed the causes of driver fatigue from the perspective of human factors engineering. This study sorted out the content of drivers' shift work system, and used t-test, one-way ANOVA, Pearson correlation analysis and other statistical analysis methods to analyze the correlation between drivers' sleep and fatigue according to their age, working section, technical level and lifestyle type. The results show that the sleep quality of rail transit drivers is significantly worse than that of average adults, and the degree of fatigue is higher, which is mainly reflected in mental fatigue and motivation weakening, and sleep quality has a direct effect on fatigue. Finally, according to the research results, the paper puts forward suggestions for improving the shift work system, which can provide reference for improving the safety level of rail transit operation and optimizing the personnel management strategy.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127766612","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

Noise Reduction Technique for Raman Spectrum using Deep Learning Network 基于深度学习网络的拉曼光谱降噪技术

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-09-09 DOI: 10.1109/ISCID51228.2020.00042

Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, C. Daengngam, Apidach Booranawong, M. Chongcheawchamnan

引用次数: 8

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