메뉴 건너뛰기




Volumn 194, Issue , 2016, Pages 279-287

Deep Neural Networks for wireless localization in indoor and outdoor environments

Author keywords

Deep Learning; Deep Neural Networks (DNNs); Hidden Markov model (HMM); Stacked Denoising Autoencoder (SDA); Wireless positioning

Indexed keywords

INDOOR POSITIONING SYSTEMS; LEARNING SYSTEMS; MARKOV PROCESSES; NETWORK LAYERS;

EID: 84977962758     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2016.02.055     Document Type: Article
Times cited : (260)

References (39)
  • 2
    • 80052943558 scopus 로고    scopus 로고
    • Indoor robot localization based on wireless sensor networks
    • Cheng L., Wu C.-D., Zhang Y.-Z. Indoor robot localization based on wireless sensor networks. IEEE Trans. Consum. Electron. 2011, 57(3):1099-1104.
    • (2011) IEEE Trans. Consum. Electron. , vol.57 , Issue.3 , pp. 1099-1104
    • Cheng, L.1    Wu, C.-D.2    Zhang, Y.-Z.3
  • 4
    • 2942726305 scopus 로고    scopus 로고
    • Wlan location determination in e-home via support vector classification
    • Sensing and Control IEEE
    • C.-L. Wu, L.-C. Fu, F.-L. Lian, Wlan location determination in e-home via support vector classification, in: 2004 IEEE International Conference on Networking, Sensing and Control, vol. 2, IEEE, 2004, pp. 1026-1031.
    • (2004) 2004 IEEE International Conference on Networking , vol.2 , pp. 1026-1031
    • Wu, C.-L.1    Fu, L.-C.2    Lian, F.-L.3
  • 7
    • 33847770958 scopus 로고    scopus 로고
    • Particle filters for location estimation in ubiquitous computing: a case study
    • Springer
    • J. Hightower, G. Borriello, Particle filters for location estimation in ubiquitous computing: a case study, in: UbiComp 2004: Ubiquitous Computing, Springer, 2004, pp. 88-106.
    • (2004) UbiComp 2004: Ubiquitous Computing , pp. 88-106
    • Hightower, J.1    Borriello, G.2
  • 8
    • 55349108885 scopus 로고    scopus 로고
    • Wi-fi based indoor localization and tracking using sigma-point Kalman filtering methods
    • 2008 IEEE/ION, IEEE, Monterey, CA
    • A.S. Paul, E.A. Wan, Wi-fi based indoor localization and tracking using sigma-point Kalman filtering methods, in: Position, Location and Navigation Symposium, 2008 IEEE/ION, IEEE, Monterey, CA, 2008, pp. 646-659.
    • (2008) Position, Location and Navigation Symposium , pp. 646-659
    • Paul, A.S.1    Wan, E.A.2
  • 9
    • 84867888352 scopus 로고    scopus 로고
    • Received-signal-strength-based indoor positioning using compressive sensing
    • Feng C., Au W.S.A., Valaee S., Tan Z. Received-signal-strength-based indoor positioning using compressive sensing. IEEE Trans. Mob. Comput. 2012, 11(12):1983-1993.
    • (2012) IEEE Trans. Mob. Comput. , vol.11 , Issue.12 , pp. 1983-1993
    • Feng, C.1    Au, W.S.A.2    Valaee, S.3    Tan, Z.4
  • 12
    • 84873726149 scopus 로고    scopus 로고
    • A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environments
    • Li Y., Li S., Ge Y. A biologically inspired solution to simultaneous localization and consistent mapping in dynamic environments. Neurocomputing 2013, 104:170-179.
    • (2013) Neurocomputing , vol.104 , pp. 170-179
    • Li, Y.1    Li, S.2    Ge, Y.3
  • 13
    • 84946496645 scopus 로고    scopus 로고
    • Distributed efficient localization in swarm robotic systems using swarm intelligence algorithms
    • De Sá A.O., Nedjah N., De Macedo Mourelle L. Distributed efficient localization in swarm robotic systems using swarm intelligence algorithms. Neurocomputing 2016, 172:322-336.
    • (2016) Neurocomputing , vol.172 , pp. 322-336
    • De Sá, A.O.1    Nedjah, N.2    De Macedo Mourelle, L.3
  • 14
    • 84956802323 scopus 로고    scopus 로고
    • Three classes of deep learning architectures and their applications: a tutorial survey
    • APSIPA Trans. Signal Inf. Process
    • L. Deng, Three classes of deep learning architectures and their applications: a tutorial survey, APSIPA Trans. Signal Inf. Process 2012,. http://dx.doi.org/10.1017/atsip.2013.9.
    • (2012)
    • Deng, L.1
  • 18
    • 84931567876 scopus 로고    scopus 로고
    • Multimodal learning for facial expression recognition
    • Zhang W., Zhang Y., Ma L., Guan J., Gong S. Multimodal learning for facial expression recognition. Pattern Recognit. 2015, 48(10):3191-3202.
    • (2015) Pattern Recognit. , vol.48 , Issue.10 , pp. 3191-3202
    • Zhang, W.1    Zhang, Y.2    Ma, L.3    Guan, J.4    Gong, S.5
  • 20
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • H. Lee, P. Pham, Y. Largman, A.Y. Ng, Unsupervised feature learning for audio classification using convolutional deep belief networks, in: Advances in Neural Information Processing Systems, 2009, pp. 1096-1104.
    • (2009) Advances in Neural Information Processing Systems , pp. 1096-1104
    • Lee, H.1    Pham, P.2    Largman, Y.3    Ng, A.Y.4
  • 21
    • 84055222005 scopus 로고    scopus 로고
    • Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
    • Dahl G.E., Yu D., Deng L., Acero A. Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition. IEEE Trans. Audio Speech Lang. Process. 2012, 20(1):30-42.
    • (2012) IEEE Trans. Audio Speech Lang. Process. , vol.20 , Issue.1 , pp. 30-42
    • Dahl, G.E.1    Yu, D.2    Deng, L.3    Acero, A.4
  • 24
    • 84885844506 scopus 로고    scopus 로고
    • Modeling rfid signal distribution based on neural network combined with continuous ant colony optimization
    • Chen Z., Wang C. Modeling rfid signal distribution based on neural network combined with continuous ant colony optimization. Neurocomputing 2014, 123:354-361.
    • (2014) Neurocomputing , vol.123 , pp. 354-361
    • Chen, Z.1    Wang, C.2
  • 25
    • 84940061454 scopus 로고    scopus 로고
    • Rfid-enabled indoor positioning method for a real-time manufacturing execution system using os-elm
    • Yang Z., Zhang P., Chen L. Rfid-enabled indoor positioning method for a real-time manufacturing execution system using os-elm. Neurocomputing 2016, 174:121-133. , 10.1016/j.neucom.2015.05.12.
    • (2016) Neurocomputing , vol.174 , pp. 121-133
    • Yang, Z.1    Zhang, P.2    Chen, L.3
  • 26
    • 78149243430 scopus 로고    scopus 로고
    • Robust indoor positioning using differential wi-fi access points
    • Chang N., Rashidzadeh R., Ahmadi M. Robust indoor positioning using differential wi-fi access points. IEEE Trans. Consum. Electron. 2010, 56(3):1860-1867.
    • (2010) IEEE Trans. Consum. Electron. , vol.56 , Issue.3 , pp. 1860-1867
    • Chang, N.1    Rashidzadeh, R.2    Ahmadi, M.3
  • 27
    • 78651400521 scopus 로고    scopus 로고
    • Lswd. localization scheme for wireless sensor networks using directional antenna
    • Zhang B., Yu F. Lswd. localization scheme for wireless sensor networks using directional antenna. IEEE Trans. Consum. Electron. 2010, 56(4):2208-2216.
    • (2010) IEEE Trans. Consum. Electron. , vol.56 , Issue.4 , pp. 2208-2216
    • Zhang, B.1    Yu, F.2
  • 28
    • 34547782737 scopus 로고    scopus 로고
    • A real-time indoor wifi localization system utilizing smart antennas
    • Lim C.-H., Wan Y., Ng B.-P., See C.-M.S. A real-time indoor wifi localization system utilizing smart antennas. IEEE Trans. Consum. Electron. 2007, 53(2):618-622.
    • (2007) IEEE Trans. Consum. Electron. , vol.53 , Issue.2 , pp. 618-622
    • Lim, C.-H.1    Wan, Y.2    Ng, B.-P.3    See, C.-M.S.4
  • 30
    • 14644395700 scopus 로고    scopus 로고
    • Neural network models for intelligent networks: deriving the location from signal patterns
    • R. Battiti, A. Villani, T. Le Nhat, Neural network models for intelligent networks: deriving the location from signal patterns, Proc. AINS 2002, UCLA, 2002.
    • (2002) Proc. AINS 2002, UCLA
    • Battiti, R.1    Villani, A.T.2    Le, Nhat3
  • 31
    • 51949115350 scopus 로고    scopus 로고
    • Wireless based object tracking based on neural networks
    • 2008, ICIEA 2008, IEEE, Singapore
    • K. Derr, M. Manic, Wireless based object tracking based on neural networks, in: 3rd IEEE Conference on Industrial Electronics and Applications, 2008, ICIEA 2008, IEEE, Singapore, 2008, pp. 308-313.
    • (2008) 3rd IEEE Conference on Industrial Electronics and Applications , pp. 308-313
    • Derr, K.1    Manic, M.2
  • 32
    • 84881603790 scopus 로고    scopus 로고
    • Fingerprinting localization based on affinity propagation clustering and artificial neural networks
    • IEEE, Shanghai, China
    • G. Ding, Z. Tan, J. Zhang, L. Zhang, Fingerprinting localization based on affinity propagation clustering and artificial neural networks, in: 2013 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Shanghai, China, 2013, pp. 2317-2322.
    • (2013) 2013 IEEE Wireless Communications and Networking Conference (WCNC) , pp. 2317-2322
    • Ding, G.1    Tan, Z.2    Zhang, J.3    Zhang, L.4
  • 34
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton G.E., Osindero S., Teh Y.-W. A fast learning algorithm for deep belief nets. Neural Comput. 2006, 18(7):1527-1554.
    • (2006) Neural Comput. , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 36
    • 79551480483 scopus 로고    scopus 로고
    • Stacked denoising autoencoders. learning useful representations in a deep network with a local denoising criterion
    • Vincent P., Larochelle H., Lajoie I., Bengio Y., Manzagol P.-A. Stacked denoising autoencoders. learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 2010, 11:3371-3408.
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 3371-3408
    • Vincent, P.1    Larochelle, H.2    Lajoie, I.3    Bengio, Y.4    Manzagol, P.-A.5
  • 37
    • 84992311848 scopus 로고    scopus 로고
    • Improving neural networks by preventing co-adaptation of feature detectors, arXiv preprint.
    • G.E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, R.R. Salakhutdinov, Improving neural networks by preventing co-adaptation of feature detectors, arXiv preprint. http://arXiv:1207.0580.
    • Hinton, G.E.1    Srivastava, N.2    Krizhevsky, A.3    Sutskever, I.4    Salakhutdinov, R.R.5
  • 38
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S.T., Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 2000, 290(5500):2323-2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.