2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献_第4页

Railway Signal Intelligent Monitoring System Based on Data Mining 基于数据挖掘的铁路信号智能监控系统

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688683

Jianjun Wu

{"title":"Railway Signal Intelligent Monitoring System Based on Data Mining","authors":"Jianjun Wu","doi":"10.1109/TOCS53301.2021.9688683","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688683","url":null,"abstract":"At present, the research invested by the railway department in the development of railway transportation is very huge. The railway transportation related technologies are constantly updated, and the equipment automation and intelligent level are constantly developing, which puts forward higher requirements for railway monitoring. Railway is an indispensable part of railway transportation. Railway signal equipment can reflect the real situation of railway in real time and carry out emergency treatment for the situation of railway, which ensures the safety on the railway transportation road. Therefore, higher standards and requirements should be put forward for the intelligent monitoring system of railway signal. This paper mainly studies the railway signal intelligent monitoring system based on data mining. This paper expounds the design principles of the railway signal intelligent monitoring system to standardize the design of the system, then designs the railway signal intelligent monitoring system, and then expounds the database design, put the collected railway signal equipment data into the database for comparative research, so as to realize fault diagnosis. This paper studies the railway signal intelligent monitoring system in collecting railway signal data samples, comparing them in the database using data mining technology, and comparing their acquaintance degree, so as to understand the actual operation of the monitoring system. The research results show that in the test and research of railway signal intelligent monitoring system, there is little difference in the monitoring time of samples. The average collection time of railway signal samples is about 4 seconds. The longer the comparison time, the higher the similarity between the samples and fault manifestation data. For example, the comparison time of sample 5 occupies 8.93 seconds, and its similarity estimation index is 13.91.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127291632","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

Analysis of Energy Supply and Layout Optimization Mathematical Model of New Energy Conversion Power Station under Carbon Neutralization 碳中和下新能源转换电站供能及布局优化数学模型分析

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688787

Yijing Wang, Mengmeng Du, Yifan Li, L. Ouyang

{"title":"Analysis of Energy Supply and Layout Optimization Mathematical Model of New Energy Conversion Power Station under Carbon Neutralization","authors":"Yijing Wang, Mengmeng Du, Yifan Li, L. Ouyang","doi":"10.1109/TOCS53301.2021.9688787","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688787","url":null,"abstract":"The development of new energy vehicles is the certain way for our country to move from a major automobile country to a powerful automobile country. As the “benchmark” industry of the emerging economy, the development of the new energy automobile industry is driving the development of China’s advanced manufacturing industry and the construction of a modern industrial system. The large-scale application of new energy vehicles and their synergy with renewable energy will have a profound impact on ensuring our country’s energy security and achieving the goal of carbon peak and carbon neutrality. This article collects the national energy structure statistics of the United States, Japan, France, and China, analyzes the ratios of the different total energy used in different countries, and concludes that the development and utilization of new energy must be an important branch of the future development of the world. Then, this article discusses the current hot new energy industry-charging and swapping points for new energy vehicles, and researches on the layout of urban swap stations-that is, to determine which locations in the urban area are the most reasonable for placing swap stations. For this reason, this paper establishes a mathematical model to study the layout optimization of substations in cities. This paper also selects a certain city in China as a case study, taking some urban components, such as living quarters and their number of households, the location of buildings and the surrounding environment, as the main decisive factors, so as to determine which locations in the city are suitable for new energy vehicles. Change station coordinates.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130067628","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

Design of Chinese named entity recognition algorithm based on BiLSTM-CRF model 基于BiLSTM-CRF模型的中文命名实体识别算法设计

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688786

Luan Di, Xie Ling, Wang Guangwen

引用次数: 0

Design and Implementation of Family Financial Risk Prevention System Based on TRIZ and Wireless Sensor Network 基于TRIZ和无线传感器网络的家庭财务风险防范系统的设计与实现

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688777

Moli Xu

{"title":"Design and Implementation of Family Financial Risk Prevention System Based on TRIZ and Wireless Sensor Network","authors":"Moli Xu","doi":"10.1109/TOCS53301.2021.9688777","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688777","url":null,"abstract":"With the gradual increase of people’s awareness of financial asset risk, the use of TRIZ innovation theory and wireless sensor network technology can not only monitor people’s long-term family asset risk, but also save money and family time and energy. This paper realizes the basic requirements of family financial risk prevention system based on TRIZ innovation tools and wireless sensor network from both hardware and software aspects. The system uses GAINSJ node and risk sensor to collect and transmit asset data. The management software on the local PC actively processes, stores, displays data and transmits it to the remote server. It has access to data on the Internet. At the same time, the existing feature parameter extraction method of financial investment sentiment is improved and simplified. Finally, the validity of the system is verified by the experiment of emotion data collection and transmission. The arithmetic average filtering algorithm and the simplified threshold algorithm are simulated on MATLAB. The result improves the feasibility of the simplified threshold algorithm.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131982061","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

Performance Analysis on BER of IR-UWB under Maglev System 磁悬浮系统下IR-UWB误码率性能分析

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688977

Shi Xiao, Jinbao Zhang

引用次数: 0

Electric vehicle charging system pressure control based on fuzzy neural network PID control 电动汽车充电系统压力控制基于模糊神经网络PID控制

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688659

Zhaopeng Li, Jie Pang, Chunxiang Xu, Chengcai Zhang

引用次数: 2

Regional Rural Economic Forecasting Based on Single Exponential Smoothing Model with Outlier points 基于离群点单指数平滑模型的区域农村经济预测

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688826

Long Jing

引用次数: 0

Simulation analysis and power flow calculation of energy saving and consumption reduction in static pressure hydropower 静压水电节能降耗仿真分析及潮流计算

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688664

Xingchen Mu

引用次数: 0

Research on Transistor Amplifier Circuit Based on Project 基于工程的晶体管放大电路研究

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688928

Jihong Li, Miao Zhang, Yijun Fan

引用次数: 0

Computational analysis of user big data of electric vehicles based on SVM and dynamic planning 基于支持向量机和动态规划的电动汽车用户大数据计算分析

2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688651

Yang Jing, Zhang Fan, Chen Ziyi

{"title":"Computational analysis of user big data of electric vehicles based on SVM and dynamic planning","authors":"Yang Jing, Zhang Fan, Chen Ziyi","doi":"10.1109/TOCS53301.2021.9688651","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688651","url":null,"abstract":"In order to mine new energy vehicle users according to the user’s scoring table, first use the Spearman correlation coefficient method to calculate the correlation coefficients of the three brands to determine the significance of each brand; Secondly, establish an SVM model and use the trained SVM model to calculate the purchase probability of the population to be predicted. The accuracy rate of the result of brand one is 96%, the accuracy rate of brand two is 92.2%, and the accuracy rate of brand three is 88%; Finally, the dynamic programming method is used to calculate how the service intensity is allocated to the eight product indicators, so as to achieve the optimal customer plan. The final result showed that: for the joint venture brand, the battery technical performance, comfort, economy, and power were increased by 1%, and the willingness to be obtained by using the SVM model was changed from not buying to buying; Regarding independent brands, battery technical performance, comfort, safety performance, economy, power performance and driving control performance, appearance and interior decoration, each increase 0.83% of user satisfaction, and the prediction result becomes a purchase; For new power brands, battery technical performance, comfort, economy, power performance and driving control performance each increase user satisfaction by 1%, the prediction result will become a purchase.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752891","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