Dissertation > Excellent graduate degree dissertation topics show

Rules-based engine and data streaming technology for RFID integration middleware

Author: LiHua
Tutor: LiMinBo
School: Fudan University
Course: Computer Software and Theory
Keywords: RFID Middleware Data Stream Rule Engine Business Process Control
CLC: TP391.44
Type: Master's thesis
Year: 2011
Downloads: 80
Quote: 1
Read: Download Dissertation

Abstract


RFID middleware plays an important role in intergration between RFID and enterprise infornation systems. With RFID middleware, enterprise information systems can manipulate RFID device, collect and filter RFID data in a managed way. However, it needs considerable refactoring for those systems to process RFID data in a bussness context, and it could lead those systems to be tightly-coupled. The tightly-coupled systems may not be able to serve company business optimization purposes, escpecially for companies with rapidly changeable bussness demands.Our research focused on how to solve the intergration issues between RFID and enterprise information systems. Topics such as how to use data stream technolgy in RFID data filtering, business senario expresssion by RFID event pattern, RFID event pattern recognition using rule inference engine, algebraic expressions and automation of business processes, were discussed in details.The RFID integration middleware for enterprise information systems was proposed on the premise of abundant research on rule engine and data stream technologies. It contains core modules like documents server, data processing engine and business process control engine. Design concerns of those modules were discussed. To promise deployment flexibility, a distributed interactive communication mechanism among modules was introduced. The component strategy based on Spring.NET was used to enable the middleware configurable.In this paper, implementation of core modules such as data processing engine, business process control engine was described. Two examples were demonstrated respectively, to verify efficient performance of RFID event pattern recognition and flexibility of business process control.

Related Dissertations

  1. Research and Implementation of Clustering Algorithm over Uncertain Data Streams,TP311.13
  2. Research and Implement of Configurable Data Migration Framework,TP311.13
  3. Research and Design of the futures trading system,TP311.52
  4. Frequent Itemsets Mining Algorithm,TP311.13
  5. Based on J2EE framework and rules engine credit risk monitoring system construction,TP311.52
  6. Design and Implementation of the Service and Surport of Network Management System,TP393.07
  7. Research on Mining PU Data Streams,TP18
  8. Outlier Detection for Multivariate Spatio-temporal Data in Wireless Sensor Networks,TN929.5
  9. Research on Main Memory Index for RFID Data Stream,TP391.44
  10. The Research on Feature Selection for Data Stream,TP311.13
  11. Research on Data Stream Processing Methods Based on GPU,TP332
  12. Efficient TOP-K Keyword Search on XML Sreams,TP311.10
  13. RFID Middleware and Research on the Application in Automobile Vehicle Production Field,TP391.44
  14. Hazardous gas cylinder safety regulatory system based on electronic tags,TP277
  15. Research on Data-stream State Management Mechanism for Network Forensics,TP399-C2
  16. Stream-based information distribution system of stock,F830.91
  17. Researching and Implementing of Key Techologies about RFID Middleware,TP391.44
  18. Research on Mining Algorithms of Web Data Stream for Uwer Interest Drift,TP311.13
  19. Research on Cleaning Techniques over RFID Data Stream Based on Outlier Detection Methods,TP391.44
  20. Research and Implement of Key Techniques for Data Integration of Network Security Detect Data,TP393.08
  21. Mining Association Rules over a Stream Sliding Window,TP311.13

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Optical pattern recognition devices
© 2012 www.DissertationTopic.Net  Mobile