Griffith University

B Information Technology (Hons)

Contact details for Mr Peter Darcy P.Darcy@griffith.edu.au

Thesis
Correcting Stored RFID Anomalies Utilising Intelligent Analysis and Classification

Description
Since the 1940s, there has been an increasing interest into the research of Radio Frequency Identification (RFID) to automatically track objects wirelessly among the academic and commercial sectors. Unfortunately, due to the nature of passive tags, complex data anomalies arise within the captured data which hinder the wide scale adoption of RFID systems. Within this research, I have put forth a methodology utilising comprehensive analytical processes coupled with novel and intelligent classification techniques to correct the erroneous data sets.

Supervisor

Dr Bela Stantic
Professor Abdul Sattar
Dr René Hexel

Research expertise

• Databases
• Artificial Intelligence
• Programming
• Websites

Publications

• P. Darcy, B. Stantic, and R. Derakhshan, “Correcting Stored RFID Data with Non-Monotonic Reasoning,” Principles and Applications in Information Systems and Technology (PAIST), vol. 1, no. 1, pp. 65–77, 2007.
• P. Darcy, B. Stantic, and A. Sattar, “Improving the Quality of RFID Data by Utilising a Bayesian Network Cleaning Method,” in the Proceedings of the IASTED International Conference Artificial Intelligence and Applications (AIA), 2009, pp. 94–99.
• P. Darcy, B. Stantic, and A. Sattar, “Augmenting a Deferred Bayesian Network with a Genetic Algorithm to Correct Missed RFID Readings,” in the Proceedings of the Malaysian Joint Conference on Artificial Intelligence (MJCAI), 2009, pp. 106–115.
• P. Darcy, B. Stantic, and A. Sattar, “A Fusion of Data Analysis and Non-Monotonic Reasoning to Restore Missed RFID Readings,” in the Proceedings of the Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009, pp. 313–318.
  P. Darcy, B. Stantic, and A. Sattar, “Applying a Neural Network to Recover Missed RFID Readings,” in the Proceedings of the Australasian Computer Science Conference (ACSC), 2010, pp. 133–142.
  
• P. Darcy, B. Stantic, and A. Sattar, “X-CleLo: Intelligent Deterministic RFID Data Transformer,” in the Proceedings of the International Conference on Enterprise Information Systems (ICEIS), 2010.
• P. Darcy, B. Stantic, and A. Sattar, “Correcting Missing Data Anomalies with Clausal Defeasible Logic,” in the Proceedings of the Advances in Databases and Information Systems (ADBIS), 2010.
• P. Darcy, B. Stantic, and A. Sattar, “Intelligent High-Level RFID Event Transformation Utilising Non-Monotonic Reasoning,” in the Proceedings of the Wireless Communications, Networking and Mobile Computing (WICOM), 2010.