Conference on Electronic Information Engineering and Data Processing最新文献_第7页

Adaptive HELLO interval based on neural network and multicriteria for UANET 基于神经网络和多准则的UANET自适应HELLO间隔

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682371

Rencheng Jin, Jiajun Liu, Xinyuan Zhang, Guangxu Wang

{"title":"Adaptive HELLO interval based on neural network and multicriteria for UANET","authors":"Rencheng Jin, Jiajun Liu, Xinyuan Zhang, Guangxu Wang","doi":"10.1117/12.2682371","DOIUrl":"https://doi.org/10.1117/12.2682371","url":null,"abstract":"Unmanned Aerial Vehicle Ad-hoc Network (UANET) are gaining extensive attention in fire monitoring, communication relay and other fields. Because of mobility of UAVs, network topology changes frequently. In OLSR routing protocol, each node broadcasts HELLO packets at regular intervals for link sensing and neighborhood detection. However, if the HELLO interval is too small when the node speed is slow, unnecessary traffic will appear in the network. If the HELLO interval is too large when the node speed is fast, the performance will be degraded too. This paper proposes a routing protocol that adaptively adjusts the HELLO interval. Large amount of simulation results of NS-3 is used as samples, the neural network is trained by GA-BP (Genetic Algorithm, Back Propagation) algorithm, and the chosen network performance metrics under different HELLO intervals are predicted according to the speed of nodes. The MADM (Multiple Attribute Decision Making) method is used to comprehensively evaluate these metrics and select the optimal HELLO interval. Our simulation results show that compared with the original OLSR and other schemes, the proposed scheme can achieve a large performance improvement at a very small cost.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121948698","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

Intelligent space disinfection system based on microcontroller 基于单片机的智能空间消毒系统

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682555

Yanzhao Xu, Linmao Wu, Yisong Fan, Qiang Guo

{"title":"Intelligent space disinfection system based on microcontroller","authors":"Yanzhao Xu, Linmao Wu, Yisong Fan, Qiang Guo","doi":"10.1117/12.2682555","DOIUrl":"https://doi.org/10.1117/12.2682555","url":null,"abstract":"In recent years, due to excessive levels of indoor air pollutants in teaching, there has been an increase in the number of cases of physical illness among primary and secondary school students, thus triggering key national concerns. Traditional air purification devices mainly purify air by means of filtration, they are single-functional and work independently, which makes it difficult to manage centrally. In order to protect students' physical and mental health and improve indoor air quality, a microcontroller-based intelligent control system for space disinfection is designed. The system adopts GD32 microcontroller as the main controller to realize filtration, purification and detection functions, and the air purification equipment connects to the IoT platform through 4G CAT1 chip and MQTT protocol to realize remote detection and control. The test shows that the system is reliable and stable in operation and simple in operation, the system has multi-sensor detection function and can accurately detect ozone, ammonia, formaldehyde, PM2.5, TVOC, carbon dioxide, temperature and humidity in indoor air. Therefore, the system can effectively improve indoor air quality, it solves the problem that the current equipment on the market works alone and has a single function and has a high practical use value.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124836865","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

Study on the joint fresh-keeping of fresh product supply chain system considering fresh-keeping effort 考虑保鲜力度的生鲜产品供应链系统联合保鲜研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682398

Rong Zhang, Yulin Tian

引用次数: 0

5G access selection strategy based on low-delay power service 基于低时延功率业务的5G接入选择策略

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682278

Shang Li, Y. Li, Weizhao Liu, Xiaomin Wei

引用次数: 0

Temperature analysis of lithium iron phosphate battery during operation based on electrochemical-thermal full coupling model 基于电化学-热全耦合模型的磷酸铁锂电池运行温度分析

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682421

WeiDa Chu, X. Tong, Fanchao Zeng, Chong Xu, Bin Wei, Zhenming Li, Mingyang Liu

引用次数: 0

An artificial intelligence algorithm-based house drawing recognition system for earthquake risk survey 基于人工智能算法的地震风险调查房屋图识别系统

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682280

Zhanling Fu, Chunli Zhang, Wuping Gao, Chengguo Yan

引用次数: 0

Equipment maintenance data mining based on FP-growth algorithm 基于FP-growth算法的设备维护数据挖掘

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682590

Juan Gu, Tianyuan Jiang, Lei Shen

引用次数: 0

Intelligent garbage classification system based on vision and speech recognition 基于视觉和语音识别的智能垃圾分类系统

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682463

Yimei Xu, Pengju He, Hongfei Hu, Ping Zhang

{"title":"Intelligent garbage classification system based on vision and speech recognition","authors":"Yimei Xu, Pengju He, Hongfei Hu, Ping Zhang","doi":"10.1117/12.2682463","DOIUrl":"https://doi.org/10.1117/12.2682463","url":null,"abstract":"With the rapid development of the economy and the continuous improvement of people's living standards, the production of daily waste has increased sharply. In order to effectively realize waste reduction and resource recycling, garbage classification has been widely promoted. However, despite various publicity efforts, there are still problems with unclear, ambiguous, and incorrect garbage classification among residents. To address these issues, an intelligent garbage classification system based on vision and speech recognition technology has been designed. The system includes an intelligent management terminal at each park's garbage collection point, which collects voice and image information for processing and analysis on a central server. The terminal is equipped with the ability to control the opening and closing of the intelligent garbage can lid and monitor the status of the garbage collection points. Furthermore, a supporting mobile application is available, enabling users to learn about garbage classification knowledge online and to carry out proper garbage classification. The implementation of this intelligent system solves the problem of garbage classification, which improves the efficiency of garbage treatment and provides significant practical and social value.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121282230","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

Edge network intrusion detection method based on feature selection and TextCNN 基于特征选择和TextCNN的边缘网络入侵检测方法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682500

Hongkai Wang, Sichen Pan, Xiaoming Ju, Yongming Feng

引用次数: 0

Adaptive dynamic double-threshold signal detection algorithm 自适应动态双阈值信号检测算法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682559

Le Yang, Zhian Deng

引用次数: 0