大数据背景下物流模型2019-NCOV疫情发展仿真系统设计与实现

Dong-Xu Liu, Feng Qin, Wan-Sheng Wang, Xiu-Ru Li, Lu Zhang, Lin Jiang, Ying-Ming Wang, Dandan Zuo, Y. Zheng
{"title":"大数据背景下物流模型2019-NCOV疫情发展仿真系统设计与实现","authors":"Dong-Xu Liu, Feng Qin, Wan-Sheng Wang, Xiu-Ru Li, Lu Zhang, Lin Jiang, Ying-Ming Wang, Dandan Zuo, Y. Zheng","doi":"10.17706/jsw.17.5.182-191","DOIUrl":null,"url":null,"abstract":"The outbreak of COVID-19 in December 2019 sent tens of thousands of people into panic; For sudden outbreak, due to the variability and immune virus, in view of the research and development will be to contain virus vaccine, so the country should not only possess strong vaccine research and development team and scientific research ability, and more need a kind of epidemic development simulation platform, the simulationof the real effective epidemic trends, provide high quality data for prevention and research department reference value; In this paper, the minimum deviation is sought through Logistics prediction model to improve the reliability and authenticity of epidemic simulation and prediction data. Real-time communication is completed by combining big data technology Spark training model and Kafka, and the simple and intuitive H5 realistic visual interface is adopted.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"22 1","pages":"182-191"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Implementation of Logistics Model 2019-NCOV Epidemic Development Simulation System in the Context of Big Data\",\"authors\":\"Dong-Xu Liu, Feng Qin, Wan-Sheng Wang, Xiu-Ru Li, Lu Zhang, Lin Jiang, Ying-Ming Wang, Dandan Zuo, Y. Zheng\",\"doi\":\"10.17706/jsw.17.5.182-191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The outbreak of COVID-19 in December 2019 sent tens of thousands of people into panic; For sudden outbreak, due to the variability and immune virus, in view of the research and development will be to contain virus vaccine, so the country should not only possess strong vaccine research and development team and scientific research ability, and more need a kind of epidemic development simulation platform, the simulationof the real effective epidemic trends, provide high quality data for prevention and research department reference value; In this paper, the minimum deviation is sought through Logistics prediction model to improve the reliability and authenticity of epidemic simulation and prediction data. Real-time communication is completed by combining big data technology Spark training model and Kafka, and the simple and intuitive H5 realistic visual interface is adopted.\",\"PeriodicalId\":11452,\"journal\":{\"name\":\"e Informatica Softw. Eng. J.\",\"volume\":\"22 1\",\"pages\":\"182-191\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"e Informatica Softw. Eng. J.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17706/jsw.17.5.182-191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"e Informatica Softw. Eng. J.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17706/jsw.17.5.182-191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

2019年12月爆发的COVID-19疫情使数万人陷入恐慌;对于突发性疫情,由于病毒的变异性和免疫性,鉴于研发出的疫苗将会遏制病毒,因此国家不仅要拥有强大的疫苗研发团队和科研能力,更需要一种疫情发展模拟平台,能够模拟真实有效的疫情趋势,为预防和研究部门提供高质量的数据参考价值;本文通过物流预测模型寻求最小偏差,提高疫情模拟预测数据的可靠性和真实性。结合大数据技术Spark训练模型和Kafka完成实时通信,采用简单直观的H5逼真可视化界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of Logistics Model 2019-NCOV Epidemic Development Simulation System in the Context of Big Data
The outbreak of COVID-19 in December 2019 sent tens of thousands of people into panic; For sudden outbreak, due to the variability and immune virus, in view of the research and development will be to contain virus vaccine, so the country should not only possess strong vaccine research and development team and scientific research ability, and more need a kind of epidemic development simulation platform, the simulationof the real effective epidemic trends, provide high quality data for prevention and research department reference value; In this paper, the minimum deviation is sought through Logistics prediction model to improve the reliability and authenticity of epidemic simulation and prediction data. Real-time communication is completed by combining big data technology Spark training model and Kafka, and the simple and intuitive H5 realistic visual interface is adopted.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信