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All Journal JOIV : International Journal on Informatics Visualization
Akhilesh Kumar Sharma
Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan 303007, India
Computer Science & IT

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An Efficient Approach for Uncertain Event Detection in RFID Complex Event Processing Siti Salwani Binti Yaacob; Hairulnizam Bin Mahdin; Mohammed Saeed Jawad; Nayef Abdulwahab Mohammed Alduais; Akhilesh Kumar Sharma; Aldo Erianda
JOIV : International Journal on Informatics Visualization Vol 5, No 4 (2021)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.4.736

Abstract

The globalization of manufacturing has increased the risk of counterfeiting as the demand grows, the production flow increases, and the availability expands. The intensifying counterfeit issues causing a worriment to companies and putting lives at risk. Companies have ploughed a large amount of money into defensive measures, but their efforts have not slowed counterfeiters. In such complex manufacturing processes, decision-making and real-time reactions to uncertain situations throughout the production process are one way to exploit the challenges. Detecting uncertain conditions such as counterfeit and missing items in the manufacturing environment requires a specialized set of technologies to deal with a flow of continuously created data. In this paper, we propose an uncertain detection algorithm (UDA), an approach to detect uncertain events such as counterfeit and missing items in the RFID distributed system for a manufacturing environment. The proposed method is based on the hashing and thread pool technique to solve high memory consumption, long processing time and low event throughput in the current detection approaches. The experimental results show that the execution time of the proposed method is averagely reduced 22% in different tests, and our proposed method has better performance in processing time based on RFID event streams.
Co-Authors Aldo Erianda Hairulnizam Bin Mahdin Mohammed Saeed Jawad Nayef Abdulwahab Mohammed Alduais Siti Salwani Binti Yaacob