2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)最新文献_第5页

An Empirical Study on the Impact of Director Network on Information Disclosure Violations of Listed Companies 董事网络对上市公司信息披露违规行为影响的实证研究

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828931

Q. Cao, Yunhuan Zhou, Chaoyang Zhuo

{"title":"An Empirical Study on the Impact of Director Network on Information Disclosure Violations of Listed Companies","authors":"Q. Cao, Yunhuan Zhou, Chaoyang Zhuo","doi":"10.1109/icicse55337.2022.9828931","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828931","url":null,"abstract":"In recent years, the laws and regulations of China’s capital market have been continuously improved, and the quality and normative requirements for information disclosure of listed companies have also been gradually improved. For companies, it is more and more common for directors to serve in several companies at the same time, and the formed director network provides a new perspective for the relevant research on information disclosure violations. From the perspective of social network, this paper studies the influence of directors' network on information disclosure violations of companies, and considers the differences in the influence of directors' networks on information disclosure violations under different auditor types. The research results show that: (1) director network is significantly negatively correlated with information disclosure violations, that is, director network can effectively suppress information disclosure violations; (2) the network of directors in companies that employ non-top 10 accounting firms has a stronger inhibitory effect on corporate disclosure violations.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128513265","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

Research on Terahertz Single Point Satellite Ground Communication System 太赫兹单点卫星地面通信系统研究

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828906

Duan Weiqian, Song Ruiliang, Cui Dongnuan

{"title":"Research on Terahertz Single Point Satellite Ground Communication System","authors":"Duan Weiqian, Song Ruiliang, Cui Dongnuan","doi":"10.1109/icicse55337.2022.9828906","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828906","url":null,"abstract":"Terahertz wave system with specific frequency band can realize high-speed, high security and long-distance transmission under specific climate conditions. It is expected to become an effective substitute for the traditional satellite communication system based on microwave frequency band. Although the strong absorption of terahertz wave through the atmosphere due to water vapor has serious attenuation, in some dry areas on the earth, the water and other substances with strong absorption of terahertz wave are very thin, which is very suitable for satellite ground terahertz communication. In this paper, based on the theory of solid-state electronics technology, a satellite ground single point communication link system between geosynchronous orbit satellite and the ground with 220GHz as the central frequency is proposed. A desktop experimental verification system is set to study the transmitting function of the model. Simulation and test results show that the system can possess the communication performance with high speed and low bit error rate. After that, by improving the performance of each part of the system, it can greatly improve the communication characteristics.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127757632","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

Pedestrian Detection in Thermal Images by Enhancing the Brightness of Pedestrians 基于增强行人亮度的热图像行人检测

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828984

Han Cui, Kewei Wu, Xiaoping Zhu, Haiying Wang

{"title":"Pedestrian Detection in Thermal Images by Enhancing the Brightness of Pedestrians","authors":"Han Cui, Kewei Wu, Xiaoping Zhu, Haiying Wang","doi":"10.1109/icicse55337.2022.9828984","DOIUrl":"https://doi.org/10.1109/icicse55337.2022.9828984","url":null,"abstract":"Thermal image, which is not affected by visibility, has attracted significant attention in pedestrian detection. How-ever, thermal images have poorer image quality and lack color and texture features compared with RGB images. Furthermore, pedestrian detectors based on deep learning often rely heavily on feature extraction networks. As a result, the performance of the detectors tends to decrease when directly applied to thermal images. To solve this problem, we design a pre-processing network to fully use the feature that pedestrians have higher brightness in thermal images. The pre-processing network can enhance the brightness of pedestrians in thermal images. Then we filter out the brightest area from the processed image by increasing the contrast, and input the filtered result into the detector together with the original image to help the detector find pedestrians. In addition, we found that an overly complex feature extraction network is redundant for thermal images and will have a negative impact. On this basis, we simplify the feature extraction network of YOLOv3. After simplification, the accuracy and running speed are improved, and the memory usage of the model is reduced. Through sufficient experiments on the KAIST dataset, it is proved that our method can significantly improve the performance of pedestrian detection.","PeriodicalId":177985,"journal":{"name":"2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116581989","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

Research on AGV Lateral Motion Control Method Based on Inductance Data Converter 基于电感数据转换器的AGV横向运动控制方法研究

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828976

Jinjie Duan, Yongkang Zhou, Zhiming Zhan

引用次数: 0

Radio Frequency Transmitter Identification Based on Fingerprinting and Convolutional Neural Network 基于指纹识别和卷积神经网络的射频发射机识别

2022 IEEE 2nd International Conference on Information Communication and Software Engineering (ICICSE) Pub Date : 2022-03-18 DOI: 10.1109/icicse55337.2022.9828959

Qi Cheng, J. Li, Xiaoli Gao, Huaqi Fan, Ting Jiang

引用次数: 2