{"title":"基于复杂事件处理的RFID事件分析","authors":"Kong Xiangsheng","doi":"10.3991/IJOE.V10I1.3049","DOIUrl":null,"url":null,"abstract":"A variety of devices and ubiquitous computing systems such as RFID (Radio Frequency Identification) generate and exchange significant events during their execution. In this paper, compared to most existing RFID framework, We provide a framework of RFID system based on Complex Event Processing which aims at providing a scalable solution for gathering, filtering, and providing clean RFID data. We design a complex event detection algorithm of performing Complex Event Processing directly over unreliable RFID event streams by incorporating cleansing requirements into complex event specifications. We explain how raw RFID events can make business process data accessible for process mining. The results of this research can be widely used for RFID events analysis in various areas such as logistics and manufacturing systems.","PeriodicalId":14375,"journal":{"name":"International Journal of Online Engineering","volume":"10 1","pages":"5-9"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"RFID Event Analysis Based on Complex Event Processing\",\"authors\":\"Kong Xiangsheng\",\"doi\":\"10.3991/IJOE.V10I1.3049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A variety of devices and ubiquitous computing systems such as RFID (Radio Frequency Identification) generate and exchange significant events during their execution. In this paper, compared to most existing RFID framework, We provide a framework of RFID system based on Complex Event Processing which aims at providing a scalable solution for gathering, filtering, and providing clean RFID data. We design a complex event detection algorithm of performing Complex Event Processing directly over unreliable RFID event streams by incorporating cleansing requirements into complex event specifications. We explain how raw RFID events can make business process data accessible for process mining. The results of this research can be widely used for RFID events analysis in various areas such as logistics and manufacturing systems.\",\"PeriodicalId\":14375,\"journal\":{\"name\":\"International Journal of Online Engineering\",\"volume\":\"10 1\",\"pages\":\"5-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Online Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3991/IJOE.V10I1.3049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Online Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3991/IJOE.V10I1.3049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RFID Event Analysis Based on Complex Event Processing
A variety of devices and ubiquitous computing systems such as RFID (Radio Frequency Identification) generate and exchange significant events during their execution. In this paper, compared to most existing RFID framework, We provide a framework of RFID system based on Complex Event Processing which aims at providing a scalable solution for gathering, filtering, and providing clean RFID data. We design a complex event detection algorithm of performing Complex Event Processing directly over unreliable RFID event streams by incorporating cleansing requirements into complex event specifications. We explain how raw RFID events can make business process data accessible for process mining. The results of this research can be widely used for RFID events analysis in various areas such as logistics and manufacturing systems.
期刊介绍:
We would like to inform you, that iJOE, the ''International Journal of Online Engineering'' will accept now also papers in the field of Biomedical Engineering and e-Health''. iJOE will therefore be published from January 2019 as the ''International Journal of Online and Biomedical Engineering''. The objective of the journal is to publish and discuss fundamentals, applications and experiences in the fields of Online Engineering (remote engineering, virtual instrumentation and online simulations, etc) and Biomedical Engineering/e-Health. The use of cyber-physical systems, virtual and remote controlled devices and remote laboratories are the directions for advanced teleworking/e-working environments. In general, online engineering is a future trend in engineering and science. Due to the growing complexity of engineering tasks, more and more specialized and expensive equipment as well as software tools and simulators, shortage of highly qualified staff, and the demands of globalization and collaboration activities, it become essential to utilize cyber cloud technologies to maximize the use of engineering resources. Online engineering is the way to address these issues. Considering these, one focus of the International Journal of Online and Biomedical Engineering is to provide a platform to publish fundamentals, applications and experiences in the field of Online Engineering, for example: Remote Engineering Internet of Things Cyber-physical Systems Digital Twins Industry 4.0 Virtual Instrumentation. An important application field of online engineering tools and principles are Biomedical Engineering / e-Health. Topics we are interested to publish are: Automation Technology for Medical Applications Big Data in Medicine Biomedical Devices Biosensors Biosignal Processing Clinical Informatics Computational Neuroscience Computer-Aided Surgery.