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A Fuzzy Collaborative Sensor Network for Semiconductor Manufacturing Cycle Time Forecasting.

Authors :
Yu-Cheng Lin
Toly Chen
Yu-Cheng Wang
Source :
International Journal of Distributed Sensor Networks. 2013, p1-7. 7p.
Publication Year :
2013

Abstract

Network based sensing has become an important field of research, and it is expected that new applications of remote sensing will be developed. A fuzzy collaborative sensor network is developed in this study to predict the cycle time of a job in a semiconductor manufacturing factory, which is an important task for the factory. In the fuzzy collaborative sensor network, each sensor detects the status of a particular job as well as various environmental conditions present in the factory and uses a fuzzy neural network to analyze the received information. Each sensor communicates its settings and forecasting results to other sensors with the aid of a central control unit. According to the experimental results, the aggregate forecasting performance was considerably improved through the sensors' collaboration. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15501329
Database :
Academic Search Index
Journal :
International Journal of Distributed Sensor Networks
Publication Type :
Academic Journal
Accession number :
95290815
Full Text :
https://doi.org/10.1155/2013/257276