{"title":"用于工业和医学断层扫描中多源数据采集和分析的分布式系统","authors":"T. Rymarczyk","doi":"10.1109/IIPHDW.2018.8388395","DOIUrl":null,"url":null,"abstract":"The article presents the idea of a distributed system for industrial and medical tomography. The paper shows examples of reconstruction of images made by the author using various tomographic techniques and reconstruction algorithms. Depending on specific technological tomography, both advantages and disadvantages can be observed in terms of accuracy, frequency and resolution of reproduced images. Knowledge of the characteristics of each tomographic technique allows you to choose the appropriate method of image reconstruction. The proposed model of the cyber-physical system consists of a set of sensors, processing unit, Big Data cluster, algorithms for processing data in the cloud and data analysis and visualization.","PeriodicalId":405270,"journal":{"name":"2018 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed systems for acquisition and analysis of multi-source data in industrial and medical tomography\",\"authors\":\"T. Rymarczyk\",\"doi\":\"10.1109/IIPHDW.2018.8388395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents the idea of a distributed system for industrial and medical tomography. The paper shows examples of reconstruction of images made by the author using various tomographic techniques and reconstruction algorithms. Depending on specific technological tomography, both advantages and disadvantages can be observed in terms of accuracy, frequency and resolution of reproduced images. Knowledge of the characteristics of each tomographic technique allows you to choose the appropriate method of image reconstruction. The proposed model of the cyber-physical system consists of a set of sensors, processing unit, Big Data cluster, algorithms for processing data in the cloud and data analysis and visualization.\",\"PeriodicalId\":405270,\"journal\":{\"name\":\"2018 International Interdisciplinary PhD Workshop (IIPhDW)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Interdisciplinary PhD Workshop (IIPhDW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIPHDW.2018.8388395\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Interdisciplinary PhD Workshop (IIPhDW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIPHDW.2018.8388395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed systems for acquisition and analysis of multi-source data in industrial and medical tomography
The article presents the idea of a distributed system for industrial and medical tomography. The paper shows examples of reconstruction of images made by the author using various tomographic techniques and reconstruction algorithms. Depending on specific technological tomography, both advantages and disadvantages can be observed in terms of accuracy, frequency and resolution of reproduced images. Knowledge of the characteristics of each tomographic technique allows you to choose the appropriate method of image reconstruction. The proposed model of the cyber-physical system consists of a set of sensors, processing unit, Big Data cluster, algorithms for processing data in the cloud and data analysis and visualization.
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