气体/气味的准确分类和精确量化

A. Mishra, Shiho Kim, N. S. Rajput
{"title":"气体/气味的准确分类和精确量化","authors":"A. Mishra, Shiho Kim, N. S. Rajput","doi":"10.1109/ISOCC50952.2020.9332957","DOIUrl":null,"url":null,"abstract":"Intelligent gas monitoring system is having its widespread applications. It essentially requires an accurate classification with precise quantification of gases/odors. Although, gas sensor arrays are capable of generating signatures however, mostly these signatures are complex and have subtle information. Therefore, in this paper, an efficient sensory system has been proposed for intelligent gas monitoring. Concept of analysis space transformation has been utilized for accurate classification of gases/ odors. Also, the drawback of data preprocessing in quantification has been illustrated by comparing the quantifier performance for the processed and raw responses. Further, the proposed sensory system has elevated the classification accuracy from 96% to 98.74% along with the quantification accuracy from 17.65% to 94%.","PeriodicalId":270577,"journal":{"name":"2020 International SoC Design Conference (ISOCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficient Sensory System for Intelligent Gas Monitoring Accurate classification and precise quantification of gases/ odors\",\"authors\":\"A. Mishra, Shiho Kim, N. S. Rajput\",\"doi\":\"10.1109/ISOCC50952.2020.9332957\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intelligent gas monitoring system is having its widespread applications. It essentially requires an accurate classification with precise quantification of gases/odors. Although, gas sensor arrays are capable of generating signatures however, mostly these signatures are complex and have subtle information. Therefore, in this paper, an efficient sensory system has been proposed for intelligent gas monitoring. Concept of analysis space transformation has been utilized for accurate classification of gases/ odors. Also, the drawback of data preprocessing in quantification has been illustrated by comparing the quantifier performance for the processed and raw responses. Further, the proposed sensory system has elevated the classification accuracy from 96% to 98.74% along with the quantification accuracy from 17.65% to 94%.\",\"PeriodicalId\":270577,\"journal\":{\"name\":\"2020 International SoC Design Conference (ISOCC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International SoC Design Conference (ISOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOCC50952.2020.9332957\",\"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 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC50952.2020.9332957","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

智能气体监测系统正在得到广泛的应用。它本质上要求对气体/气味进行精确的分类和量化。虽然,气体传感器阵列能够生成签名,然而,大多数这些签名是复杂的,具有微妙的信息。因此,本文提出了一种高效的气体智能监测传感系统。利用分析空间变换的概念对气体/气味进行准确分类。此外,通过比较处理和原始响应的量化器性能,说明了量化中数据预处理的缺点。此外,所提出的感官系统将分类准确率从96%提高到98.74%,量化准确率从17.65%提高到94%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Sensory System for Intelligent Gas Monitoring Accurate classification and precise quantification of gases/ odors
Intelligent gas monitoring system is having its widespread applications. It essentially requires an accurate classification with precise quantification of gases/odors. Although, gas sensor arrays are capable of generating signatures however, mostly these signatures are complex and have subtle information. Therefore, in this paper, an efficient sensory system has been proposed for intelligent gas monitoring. Concept of analysis space transformation has been utilized for accurate classification of gases/ odors. Also, the drawback of data preprocessing in quantification has been illustrated by comparing the quantifier performance for the processed and raw responses. Further, the proposed sensory system has elevated the classification accuracy from 96% to 98.74% along with the quantification accuracy from 17.65% to 94%.
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