{"title":"定位非故意臭氧产生源的软件无线电方法","authors":"M. Paun, I. Marghescu, R. Tamas","doi":"10.1109/BlackSeaCom.2015.7185096","DOIUrl":null,"url":null,"abstract":"This paper presents a Software Radio implementation for a system capable of locating unintentional ozone-generating sources. Arc discharges produced by electric equipment are a major ozone generator in industrial-related environments. There is evidence that long term exposure to ozone is a serious health threat. The novelty of this work resides in the application of telecommunication specific signal processing methods for the field of prophylactic and occupational medicine.","PeriodicalId":162582,"journal":{"name":"2015 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Software Radio approach for locating unintentional ozone-generating sources\",\"authors\":\"M. Paun, I. Marghescu, R. Tamas\",\"doi\":\"10.1109/BlackSeaCom.2015.7185096\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a Software Radio implementation for a system capable of locating unintentional ozone-generating sources. Arc discharges produced by electric equipment are a major ozone generator in industrial-related environments. There is evidence that long term exposure to ozone is a serious health threat. The novelty of this work resides in the application of telecommunication specific signal processing methods for the field of prophylactic and occupational medicine.\",\"PeriodicalId\":162582,\"journal\":{\"name\":\"2015 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BlackSeaCom.2015.7185096\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BlackSeaCom.2015.7185096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Software Radio approach for locating unintentional ozone-generating sources
This paper presents a Software Radio implementation for a system capable of locating unintentional ozone-generating sources. Arc discharges produced by electric equipment are a major ozone generator in industrial-related environments. There is evidence that long term exposure to ozone is a serious health threat. The novelty of this work resides in the application of telecommunication specific signal processing methods for the field of prophylactic and occupational medicine.