经验,数据驱动和人工智能在社会(消防)和化学技术

T. Akitsu, Yuika Onami
{"title":"经验,数据驱动和人工智能在社会(消防)和化学技术","authors":"T. Akitsu, Yuika Onami","doi":"10.33805/2641-7383.114","DOIUrl":null,"url":null,"abstract":"“Realization of society 5.0 in fire and disaster prevention activities” is one of intensive goals of Japanese government developing fire technology [1]. Improvement of new equipment and materials for disaster response utilizing AI and ICT should be developed according to social requirements. Efforts to predict earthquake, pour, flood, etc. through AI analysis of data collected from past disasters must continue. In parallel with such elaboration of disaster prediction, it is necessary to proceed with preparations for prompt and accurate provision of disaster information during emergency situations and support for rebuilding lives post disaster.","PeriodicalId":11477,"journal":{"name":"Edelweiss Chemical Science Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Experience, Data-Driven and Artificial Intelligence in Social (Fire) and Chemical Technology\",\"authors\":\"T. Akitsu, Yuika Onami\",\"doi\":\"10.33805/2641-7383.114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"“Realization of society 5.0 in fire and disaster prevention activities” is one of intensive goals of Japanese government developing fire technology [1]. Improvement of new equipment and materials for disaster response utilizing AI and ICT should be developed according to social requirements. Efforts to predict earthquake, pour, flood, etc. through AI analysis of data collected from past disasters must continue. In parallel with such elaboration of disaster prediction, it is necessary to proceed with preparations for prompt and accurate provision of disaster information during emergency situations and support for rebuilding lives post disaster.\",\"PeriodicalId\":11477,\"journal\":{\"name\":\"Edelweiss Chemical Science Journal\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Edelweiss Chemical Science Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33805/2641-7383.114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Edelweiss Chemical Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33805/2641-7383.114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

“在火灾和防灾活动中实现社会5.0”是日本政府发展消防技术的密集目标之一[1]。应根据社会需求,开发利用人工智能和信息通信技术改进灾害应对新设备和新材料。通过人工智能分析从过去灾害中收集的数据来预测地震、暴雨、洪水等的努力必须继续下去。在进行这种灾害预测的同时,必须着手准备在紧急情况下迅速和准确地提供灾害资料,并支助灾后重建生活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Experience, Data-Driven and Artificial Intelligence in Social (Fire) and Chemical Technology
“Realization of society 5.0 in fire and disaster prevention activities” is one of intensive goals of Japanese government developing fire technology [1]. Improvement of new equipment and materials for disaster response utilizing AI and ICT should be developed according to social requirements. Efforts to predict earthquake, pour, flood, etc. through AI analysis of data collected from past disasters must continue. In parallel with such elaboration of disaster prediction, it is necessary to proceed with preparations for prompt and accurate provision of disaster information during emergency situations and support for rebuilding lives post disaster.
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
期刊最新文献
Are Commonplace Chiral Metal Complexes Unsuitable for Metamaterials? Re-reporting the Crystal Structure of Copper Complex from Another Point of View Beyond the Scope of Each Computational Chemistry Characterization and Evaluation of Biofilm Formation by Klebsiella pneumonia MBB9 Isolated from Epilithic Biofilms of the Porter Brook River, Sheffield Attempt to Reduce Potentially Flammable Organic Solvents in Chemical Synthesis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1