MY-AIR:个性化空气质量信息服务

Jane Lin, Ouri E. Wolfson
{"title":"MY-AIR:个性化空气质量信息服务","authors":"Jane Lin, Ouri E. Wolfson","doi":"10.1109/SMDS49396.2020.00020","DOIUrl":null,"url":null,"abstract":"This paper describes an information service that personalizes air pollution monitoring by considering the fine grained user location, her microenvironment, and her activity. Personalization is obtained by integrating a large number of information sources including the Environmental Protection Agency (EPA) monitoring stations, traffic, weather, portable air pollution data from sensors carried by a small fraction of the population, smartphone sensors, vehicle sensors data captured via on-board diagnostics.","PeriodicalId":385149,"journal":{"name":"2020 IEEE International Conference on Smart Data Services (SMDS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MY-AIR: A Personalized Air-quality Information Service\",\"authors\":\"Jane Lin, Ouri E. Wolfson\",\"doi\":\"10.1109/SMDS49396.2020.00020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an information service that personalizes air pollution monitoring by considering the fine grained user location, her microenvironment, and her activity. Personalization is obtained by integrating a large number of information sources including the Environmental Protection Agency (EPA) monitoring stations, traffic, weather, portable air pollution data from sensors carried by a small fraction of the population, smartphone sensors, vehicle sensors data captured via on-board diagnostics.\",\"PeriodicalId\":385149,\"journal\":{\"name\":\"2020 IEEE International Conference on Smart Data Services (SMDS)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Smart Data Services (SMDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMDS49396.2020.00020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Smart Data Services (SMDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMDS49396.2020.00020","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

本文描述了一种信息服务,该服务通过考虑细粒度用户位置、微环境和活动来个性化空气污染监测。个性化是通过整合大量信息源获得的,包括环境保护局(EPA)监测站、交通、天气、一小部分人携带的便携式空气污染数据、智能手机传感器、通过车载诊断捕获的车辆传感器数据。
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
MY-AIR: A Personalized Air-quality Information Service
This paper describes an information service that personalizes air pollution monitoring by considering the fine grained user location, her microenvironment, and her activity. Personalization is obtained by integrating a large number of information sources including the Environmental Protection Agency (EPA) monitoring stations, traffic, weather, portable air pollution data from sensors carried by a small fraction of the population, smartphone sensors, vehicle sensors data captured via on-board diagnostics.
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
S3QLRDF: Property Table Partitioning Scheme for Distributed SPARQL Querying of large-scale RDF data BC-Sketch: A Simple Reversible Sketch for Detecting Network Anomalies 2020 IEEE International Conference on Smart Data Services (SMDS) SMDS 2020 Scalable and Hybrid Ensemble-Based Causality Discovery Stargazer: A Deep Learning Approach for Estimating the Performance of Edge- Based Clustering Applications
×
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