NDLI: 3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning

Content Provider	IEEE Xplore Digital Library
Author	Ng, W.W.Y. Li Lin Chan, P.P.K. Yeung, D.S.
Copyright Year	2011
Description	Author affiliation: Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China (Ng, W.W.Y.; Li Lin; Chan, P.P.K.; Yeung, D.S.)
Abstract	Radio frequency identification (RFID) technology has a wide range of industrial applications because of its low cost. In this paper, RFID is used for indoor object positioning system and we focus on the scenario of goods allocation in a warehouse. An Radial Basis Function Neural Network (RBFNN) is trained via a minimization of the Localized Generalization Error (L-GEM) to learn the object location based on received RFID signals from multiple RFID readers. Goods are stacked in 3-Dimensional ways in a warehouse, the RBFNN outputs 3-D vectors as the predicted locations of target goods. The proposed method is robust to uncertainty and changes in environment. Using MATLAB simulations, the experimental result shows that the proposed method yields an efficient indoor positioning.
Starting Page	324
Ending Page	329
File Size	145910
Page Count	6
File Format	PDF
ISBN	9781457703058
ISSN	21601348
e-ISBN	9781457703089
DOI	10.1109/ICMLC.2011.6016745
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiofrequency identification Training Neurons Accuracy Cybernetics Machine learning Noise RBFNN RFID 3D Indoor Positioning L-GEM
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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