{"title":"基于区块链技术的运动训练大数据整合与优化","authors":"Zhichen Yang, Xinxin Zheng","doi":"10.3233/JIFS-219115","DOIUrl":null,"url":null,"abstract":"The increasing maturity of Internet information technology has led to the rapid rise of block-chain technology. In essence, the block-chain is a shared database. In recent years, block-chain technology has attracted the attention of the public and society. This paper mainly conducts systematic research and analysis on the integration and optimization of big data in sports training by block-chain, and achieves large-scale consensus in the case of decentralization, therefore, the information of the network will not be tampered with and forged, thus crossing the boundary of the bottom layer of the information system. This paper is based on the integration and optimization of sports training is big data. With the help of block-chain technology, each module is designed and implemented according to the needs. At the same time, the pow algorithm inside the block-chain is improved. The research results show that it is based on the block-chain. The integration and optimization of technical sports training big data can reduce the number of sports training injuries of sports school students by 10% -20%, which is very conducive to the healthy growth and development of sports school students.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sports training big data integration and optimization based on block-chain technology\",\"authors\":\"Zhichen Yang, Xinxin Zheng\",\"doi\":\"10.3233/JIFS-219115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing maturity of Internet information technology has led to the rapid rise of block-chain technology. In essence, the block-chain is a shared database. In recent years, block-chain technology has attracted the attention of the public and society. This paper mainly conducts systematic research and analysis on the integration and optimization of big data in sports training by block-chain, and achieves large-scale consensus in the case of decentralization, therefore, the information of the network will not be tampered with and forged, thus crossing the boundary of the bottom layer of the information system. This paper is based on the integration and optimization of sports training is big data. With the help of block-chain technology, each module is designed and implemented according to the needs. At the same time, the pow algorithm inside the block-chain is improved. The research results show that it is based on the block-chain. The integration and optimization of technical sports training big data can reduce the number of sports training injuries of sports school students by 10% -20%, which is very conducive to the healthy growth and development of sports school students.\",\"PeriodicalId\":44705,\"journal\":{\"name\":\"International Journal of Fuzzy Logic and Intelligent Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2021-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Fuzzy Logic and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/JIFS-219115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fuzzy Logic and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JIFS-219115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Sports training big data integration and optimization based on block-chain technology
The increasing maturity of Internet information technology has led to the rapid rise of block-chain technology. In essence, the block-chain is a shared database. In recent years, block-chain technology has attracted the attention of the public and society. This paper mainly conducts systematic research and analysis on the integration and optimization of big data in sports training by block-chain, and achieves large-scale consensus in the case of decentralization, therefore, the information of the network will not be tampered with and forged, thus crossing the boundary of the bottom layer of the information system. This paper is based on the integration and optimization of sports training is big data. With the help of block-chain technology, each module is designed and implemented according to the needs. At the same time, the pow algorithm inside the block-chain is improved. The research results show that it is based on the block-chain. The integration and optimization of technical sports training big data can reduce the number of sports training injuries of sports school students by 10% -20%, which is very conducive to the healthy growth and development of sports school students.
期刊介绍：
The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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