A. Lay-Ekuakille, P. Visconti, S. Maggi, G. Passarella, D. Bruno
{"title":"Metrological Aspects in Approximate Computing: Fourier Transform in Polluted Water Spectroscopy","authors":"A. Lay-Ekuakille, P. Visconti, S. Maggi, G. Passarella, D. Bruno","doi":"10.1109/METROSEA.2018.8657911","DOIUrl":null,"url":null,"abstract":"Environmental measurements need high accuracy and precision for delivering results necessary for authorities for making decisions. In particular, for water characterization, it is necessary to perform fast analysis in order to delivery immediate results, especially in online conditions. To do that, in some circumstances it is compulsory to accept deliberate low accuracy and precision as compromise for quick results. Approximate computing could be an innovating approach on the proviso that results should be realistic. This research illustrates findings regarding application of approximate computing in the field of spectroscopy measurements related to water characterization using an experimental instrumentation based on interferometry and spectroscopy.","PeriodicalId":252792,"journal":{"name":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METROSEA.2018.8657911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Environmental measurements need high accuracy and precision for delivering results necessary for authorities for making decisions. In particular, for water characterization, it is necessary to perform fast analysis in order to delivery immediate results, especially in online conditions. To do that, in some circumstances it is compulsory to accept deliberate low accuracy and precision as compromise for quick results. Approximate computing could be an innovating approach on the proviso that results should be realistic. This research illustrates findings regarding application of approximate computing in the field of spectroscopy measurements related to water characterization using an experimental instrumentation based on interferometry and spectroscopy.