International Conference on Mathematics, Modeling and Computer Science最新文献_第9页

Design and research of GPS-free autonomous driving system based on SLAM 基于SLAM的无gps自动驾驶系统设计与研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670424

Minyao Fan, Maoyu Zhu, J. Bi

引用次数: 0

Research on IoT technology application under prevention and control of coronavirus pneumonia 新型冠状病毒肺炎防控中的物联网技术应用研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671037

Jiaming Gao

引用次数: 0

On-line phase-splitting intelligent analysis of line loss in low-voltage platform based on genetic algorithm 基于遗传算法的低压平台线损在线分相智能分析

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671452

Pengfei Lv, Dapeng Wang, H. Sun, B. Guo, Rila Sachu

{"title":"On-line phase-splitting intelligent analysis of line loss in low-voltage platform based on genetic algorithm","authors":"Pengfei Lv, Dapeng Wang, H. Sun, B. Guo, Rila Sachu","doi":"10.1117/12.2671452","DOIUrl":"https://doi.org/10.1117/12.2671452","url":null,"abstract":"When the power connection between the station area and the user changes, it is necessary to realize the user's return journey and return journey confirmation as soon as possible, which can improve the level of line loss management. Based on RBF neural adaptive genetic algorithm, the \"intelligent analysis system of line Loss online phase division in low-voltage substation\" can automatically control the phase reversal without manual intervention of base station users. Intelligent analysis of line loss and phase division of low voltage transformer is carried out by integrating various data of instrument. Based on the analysis of traditional circuit theory, a complete theoretical line loss calculation strategy is developed by using depth-first node determination method, supplemented by advanced artificial intelligence algorithm, which can achieve fast and accurate calculation under the condition of limited measurement data. To develop and build intelligent tools for substation regional line loss management, provide technical tools for substation regional line loss monitoring and control for line loss managers, improve the level of line information, damage calculation and analysis.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117234135","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 the teaching quality evaluation of neural network machine learning algorithm 神经网络机器学习算法的教学质量评价研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670410

Chuan Wu

引用次数: 0

Polymorphism prediction method based on big data artificial intelligence algorithm 基于大数据人工智能算法的多态性预测方法

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671558

Peng Wang, Yang Wu, Wen Wang, Yao Yang, Guanglu Feng

{"title":"Polymorphism prediction method based on big data artificial intelligence algorithm","authors":"Peng Wang, Yang Wu, Wen Wang, Yao Yang, Guanglu Feng","doi":"10.1117/12.2671558","DOIUrl":"https://doi.org/10.1117/12.2671558","url":null,"abstract":"In the innovation and development of modern information technology, big data analysis method with artificial intelligence technology as the core has been widely used in all fields. At present, big data analysis has achieved excellent results in practical exploration. It not only completes cluster analysis, association analysis, classification prediction of big data efficiently, but also realizes distributed deep learning in Map Reduce, Spark and other platforms, and uses Map Reduce programming framework to study the application advantages of deep learning models. As an important resource for modern social and economic development, big data information contains not only rich experience and knowledge, but also speeds up social and economic development in a certain sense. Therefore, it is necessary to strengthen the research and innovation of big data analysis methods. On the basis of understanding big data artificial intelligence algorithms, this paper mainly studies polymorphism prediction methods with big data artificial intelligence algorithms as the core, so as to understand the correlation between information in a limited time, mine the hidden content of a large amount of information, and make effective decisions according to actual characteristics.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":" 44","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133053128","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

Indoor fingerprint positioning direction based on deep learning 基于深度学习的室内指纹定位方向

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2671596

Binya Zhang, Yuanbo Zhao

{"title":"Indoor fingerprint positioning direction based on deep learning","authors":"Binya Zhang, Yuanbo Zhao","doi":"10.1117/12.2671596","DOIUrl":"https://doi.org/10.1117/12.2671596","url":null,"abstract":"In the modern technological innovation and development, although the global positioning system proposed by researchers can provide positioning information for wireless sensors, the application effect in indoor conditions does not meet the expected requirements. Therefore, someone proposed a Wi-Fi indoor positioning model with deep negative correlation learning as the core. Nowadays, with the comprehensive popularity of Wi-Fi technology, a large number of indoor positioning systems based on Wi-Fi signal strength have become the focus of attention in the market. Therefore, on the basis of understanding the concept of deep learning algorithm and negative correlation learning, this paper mainly studies the Wi-Fi positioning model with deep complex correlation learning as the core, so as to provide an effective basis for indoor fingerprint positioning direction. The final experimental results prove that this model can apply the negative correlation learning method to the regression predictor and denoising autoencoder, so that the deep learning method can adapt to the signals that follow the environment and time changes faster, and improve the effectiveness of the overall indoor positioning.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"12625 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130134228","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

The application of big data analysis in ship mechanical fault diagnosis system 大数据分析在船舶机械故障诊断系统中的应用

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670497

Jinliang Zhang

{"title":"The application of big data analysis in ship mechanical fault diagnosis system","authors":"Jinliang Zhang","doi":"10.1117/12.2670497","DOIUrl":"https://doi.org/10.1117/12.2670497","url":null,"abstract":"In the context of the development of the new era, although a large number of data information has emerged in the development of China's shipping industry, the overall trend is decentralized and has no practical application value. In order to master more valuable data information in the intelligent development of shipbuilding industry, researchers put forward the use of big data technology to process and store massive data. In the shipbuilding industry, big data analysis is widely used to collect and diagnose mechanical faults, and a standard mechanical fault diagnosis system is built, which can not only start from a macro perspective, discover the rules, but also obtain valuable content according to the collected information. Therefore, on the basis of understanding the development status of big data analysis and ship machinery fault diagnosis, this paper deeply discusses how to build a ship machinery fault diagnosis system according to the main content of big data analysis. The final results show that the application of big data analysis in the ship mechanical fault diagnosis system meets the technical requirements of the ship industry innovation in the new era.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131560588","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 atomization control system of environmental engineering based on Internet of Things 基于物联网的环境工程自动化控制系统研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670339

Yiming Zhao

{"title":"Research on atomization control system of environmental engineering based on Internet of Things","authors":"Yiming Zhao","doi":"10.1117/12.2670339","DOIUrl":"https://doi.org/10.1117/12.2670339","url":null,"abstract":"In the context of the new era, environmental engineering based on their own accumulated experience, based on the Internet of things proposed atomization control system, its core purpose is to solve the application of traditional atomization device, to ensure the quality of environmental engineering treatment. According to the operation of environment engineering analysis in recent years, the traditional atomization device more problems during application, such as the poor quality of work is not standard, the operation, work efficiency is too low, so in artificial intelligence, cloud computing and other advanced technology, comprehensive development based on Internet of things to build new spray control system in environmental engineering, On this basis, the challenges faced by practical engineering are solved. Based on the understanding of the development trend of the Internet of Things industry, this paper conducts a simulation study on the operation of the practical system according to environmental engineering and atomization control system. The final results show that the atomization control system of environmental factory based on Internet of Things technology has more effective functions, which meets the construction and management requirements of current environmental engineering.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133883010","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

Finite state machine based place name address component recognition 基于有限状态机的地名地址成分识别

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670637

Z. Wang

引用次数: 0

Cosmetics inspection and safety research based on virtual simulation experiment 基于虚拟仿真实验的化妆品检测与安全性研究

International Conference on Mathematics, Modeling and Computer Science Pub Date : 2023-06-02 DOI: 10.1117/12.2670294

Yao Zhang

引用次数: 0