F. N. Murrieta-Rico, V. Petranovskii, R. Yocupicio-Gaxiola, Vera V. Tyrsa
{"title":"Zeolite-Based Optical Detectors","authors":"F. N. Murrieta-Rico, V. Petranovskii, R. Yocupicio-Gaxiola, Vera V. Tyrsa","doi":"10.4018/978-1-5225-5751-7.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH001","url":null,"abstract":"The detection of chemical species is a common and required task in several areas of technology. Currently, measurements in dedicated labs are the predominant tools for detection and characterization of chemicals and materials. Although these techniques are available in specialized equipment, their use is often bounded by cost of application or the operator's expertise. Also, in many applications rather than an analysis of all the detectable chemical species, it is only of interest to determine the presence of a particular chemical compound, and if it is present, to quantify its concentration. For these reasons, alternative methods for detecting specific chemical species are required. One case of such methods are the optical chemical sensors, particularly the ones based on the materials known as zeolites. In a broad sense, these sensors are constituted by an optical detector that is modified with zeolites. This combination allows the detection of specific chemical compounds if the zeolitic materials is properly modified to have an optical response for the analyte.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122773857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Roselli, V. Fioriti, M. Mongelli, A. Colucci, G. Canio
{"title":"Machine Vision-Based Application to Structural Analysis in Seismic Testing by Shaking Table","authors":"I. Roselli, V. Fioriti, M. Mongelli, A. Colucci, G. Canio","doi":"10.4018/978-1-5225-5751-7.CH010","DOIUrl":"https://doi.org/10.4018/978-1-5225-5751-7.CH010","url":null,"abstract":"In the present chapter the most recent and successful experiences in the application of machine vision-based techniques to structural analysis with main focus on seismic testing by shaking table are described and discussed. In particular, the potentialities provided by 3D motion capture methodologies and, more recently, by motion magnification analysis (MMA) emerged as interesting integrations, if not alternatives, to more conventional and consolidated measurement systems in this field. Some examples of laboratory applications are illustrated with the aim of providing evidence and details on the practical potentialities and limits of these methodologies for vibration motion acquisition, as well as on data processing and analysis.","PeriodicalId":305974,"journal":{"name":"Optoelectronics in Machine Vision-Based Theories and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132665260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}