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Volumn 1, Issue , 2011, Pages 324-329

3D goods allocation in warehouse with L-GEM based 3-D RFID positioning

Author keywords

3D Indoor Positioning; L GEM; RBFNN; RFID

Indexed keywords

3-DIMENSIONAL; INDOOR POSITIONING; L-GEM; LOCALIZED GENERALIZATION ERRORS; LOW COSTS; MATLAB SIMULATIONS; OBJECT LOCATION; POSITIONING SYSTEM; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIO FREQUENCY IDENTIFICATION TECHNOLOGY; RBFNN; RFID READERS;

EID: 80155132318     PISSN: 2160133X     EISSN: 21601348     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2011.6016745     Document Type: Conference Paper
Times cited : (3)

References (15)
  • 2
    • 56449131021 scopus 로고    scopus 로고
    • Indoor location system based on discriminant-adaptive neural network in IEEE 802.11 environments
    • November
    • Shih-Han Fang, Tsung-Nan Lin, "Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments", IEEE Transactions on Neural Networks, Vol. 19, No. 11, November 2008.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.11
    • Fang, S.-H.1    Lin, T.-N.2
  • 5
    • 32844471136 scopus 로고    scopus 로고
    • An introduction to RFID technology
    • IEEE
    • Want, R, "An introduction to RFID technology", Pervasive Computing, IEEE, Vol. 5, pp. 25, 2006.
    • (2006) Pervasive Computing , vol.5 , pp. 25
    • Want, R.1
  • 6
    • 78649697822 scopus 로고    scopus 로고
    • LANDMARC: Indoor location sensing using active RFID
    • (PerCom 2003). Proceedings of the First IEEE International Conference 23-26 March
    • Ni, L.M.; Yunhao Liu; Yiu Cho Lau; Patil, A.P., "LANDMARC: indoor location sensing using active RFID", Pervasive Computing and Communications, 2003. (PerCom 2003). Proceedings of the First IEEE International Conference, pg. 407, 23-26 March 2003
    • (2003) Pervasive Computing and Communications, 2003 , pp. 407
    • Ni, L.M.1    Liu, Y.2    Lau, Y.C.3    Patil, A.P.4
  • 7
    • 0004415562 scopus 로고    scopus 로고
    • SpotON: An indoor 3D location sensing technology based on RF signal strength
    • Department of Computer Science and Engineering, Seattle WA
    • J. Hightower, R. Wantand G. Borriello, "SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength," Technical Report UW-CSE, University of Washington, Department of Computer Science and Engineering, Seattle WA.2000.
    • (2000) Technical Report UW-CSE, University of Washington
    • Hightower, J.1    Wantand, R.2    Borriello, G.3
  • 8
    • 47249104731 scopus 로고    scopus 로고
    • VIRE: Active RFID-based localization using virtual reference elimination
    • ICPP 2007. International Conference 2007
    • Yiyang Zhao; Yunhao Liu; Ni, L.M. "VIRE: Active RFID-based Localization Using Virtual Reference Elimination", Parallel Processing, 2007. ICPP 2007. International Conference, pp. 56, 2007.
    • (2007) Parallel Processing , pp. 56
    • Zhao, Y.1    Liu, Y.2    Ni, L.M.3
  • 9
    • 78651292780 scopus 로고    scopus 로고
    • Advanced LANDMARC with adaptive k-nearest algorithm for RFID location system
    • Kyuwon Han, Sung Ho Cho, "Advanced LANDMARC With Adaptive k-Nearest Algorithm for RFID Location System", Proceeding of IC-NIDC, pp. 595, 2010.
    • (2010) Proceeding of IC-NIDC , pp. 595
    • Han, K.1    Cho, S.H.2
  • 11
    • 34347245533 scopus 로고    scopus 로고
    • Localized generalization error model and its application to architecture selection for radial basis function neural network
    • Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xi-Zhao Wang, "Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network", IEEE Transactions on Neural Networks, Vol. 18, No.5, 2007.
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.5
    • Yeung, D.S.1    Ng, W.W.Y.2    Wang, D.3    Tsang, E.C.C.4    Wang, X.-Z.5
  • 13
    • 0036740269 scopus 로고    scopus 로고
    • RBF neural network center selection based on fisher ratio class separability measure
    • K. Z. Mao, "RBF Neural Network Center Selection Based on Fisher Ratio Class Separability Measure", IEEE Transaction on Neural Networks, Vo l 13, pp.1211-1217, 2002.
    • (2002) IEEE Transaction on Neural Networks , vol.13 , pp. 1211-1217
    • Mao, K.Z.1
  • 14
    • 0026819732 scopus 로고
    • 914 MHz path loss prediction models for indoor wireless communications in multifloored buildings
    • February
    • Scott Y. Seidel, Theodore S. Rappaport, "914 MHz Path Loss Prediction Models for Indoor Wireless Communications in Multifloored Buildings" IEEE Transactions on Antennas and Propagation Vol.40 No.2 February 1992.
    • (1992) IEEE Transactions on Antennas and Propagation , vol.40 , Issue.2
    • Seidel, S.Y.1    Rappaport, T.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.