Open AccessAn Efficient Approach for Uncertain Event Detection in RFID Complex Event Processing
Author(s) -
Siti Salwani Yaacob,
Hairulnizam Mahdin,
Mohammed Saeed Jawad,
Nayef Abdulwahab Mohammed Alduais,
Akhilesh Sharma,
Aldo Erianda
Publication year - 2021
Publication title -
joiv : international journal on informatics visualization
Language(s) - English
Resource type - Journals
eISSN - 2549-9904
pISSN - 2549-9610
DOI - 10.30630/joiv.5.4.736
Subject(s) - counterfeit , computer science , exploit , thread (computing) , complex event processing , event (particle physics) , process (computing) , real time computing , data mining , risk analysis (engineering) , computer security , business , physics , quantum mechanics , political science , law , operating system
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.