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A Versatile Lattice Based Model For Situation Recognition From Dynamic Ambient Sensors


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S.Katz et al, “Progress in development of the index of ADL”,The Gerontologist, pp 20-30Vol. 10, Issue 1,1970.10.1093/geront/10.1_Part_1.20Search in Google Scholar

T.Gu, L.Wang, W. Zhanqing,T. Xianping and L. Jian,”A pattern mining approach to sensorbased human activity recognition”, IEEE Transactions on Knowledge and Data Engineering, pp 1359-1372, Vol. 23, Issue 9, September 2011.10.1109/TKDE.2010.184Search in Google Scholar

D.Guan, T.Ma,W.Yuan, Y. Lee, AM JehadSarkar, “Review of Sensor-based Activity Recognition Systems”, pp. 418-33 Vol. 28, Issue 5, IETE Tech Rev,Oct 2011.10.4103/0256-4602.85975Search in Google Scholar

A. Bauer and Y. Fischer, “Task-oriented Situation Recognition”, In Proc. of Cyber Security, Situation Management and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II, SPIE Vol. 7709,2010.10.1117/12.849646Search in Google Scholar

J. Ye, S. Dobson and S. McKeever, “Situation Identification Techniques in Pervasive Computing: A Review”, Pervasive Mobile Computing, pp 36-66, Vol. 8, Issue 1, February 2012.10.1016/j.pmcj.2011.01.004Search in Google Scholar

A. Dahlbom, L. Niklasson,G. Falkman and A. Loutfi, “Towards Template-Based Situation Recognition,” in Proc. of Intelligent Sensing, Situation Management, Impact Assessment and Cyber-Sensing, SPIE Vol. 7352, 2009.10.1117/12.818715Search in Google Scholar

C Carpineto, G Romano, “Concept Data Analysis: Theory and Applications”, John Wiley, 2004.10.1002/0470011297Search in Google Scholar

T VKasteren, G Englebienne and B Kröse, “Transferring Knowledge of Activity Recognition Across Sensor Networks”, In Proceedings of the 8th international conference on Pervasive Computing, pp 283-300, 2010.10.1007/978-3-642-12654-3_17Search in Google Scholar

S Mittal and S L Maskara, “A Review of Bayesian Belief Network Structure Learning Algorithms”, In Proceedings of 8th International Conference on Information, Communications and Signal Processing (ICICS), 13 -16 Dec, Singapore.Search in Google Scholar

S Mittal, AAggarwal, S L Maskara, “Application of Bayesian Belief Networks for Context Extraction from Wireless Sensors Data”, 14th International Conference on Advanced Communication Technology (ICACT2012), pp 410 -415, Korea, 2012.Search in Google Scholar

R Cardell-Oliver and Liu Wei, “Representation and Recognition of Situations in Sensor Networks,” IEEE Communications Magazine, Vol.48, Issue 3, pp.112-117, March 2010.10.1109/MCOM.2010.5434382Search in Google Scholar

Y Oh, J Han and W Woo, “A context management architecture for large-scale smart environments,” IEEE Communications Magazine, Vol. 48, Issue 3, March 201010.1109/MCOM.2010.5434383Search in Google Scholar

A. Dahlbom, L. Niklasson, G. Falkman and A. Loutfi, “Towards template-based situation recognition,” in Proceedings of SPIE on Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, Vol. 7352. 2009.10.1117/12.818715Search in Google Scholar

J Ye, L Coyle, S Dobson and P Nixon, “Representing and manipulating situation hierarchies using situation lattices,”Revue d’intelligenceartificielle, Vol. 22, Issue 5, pp 647-667, 2008.10.3166/ria.22.647-667Search in Google Scholar

K. Thirunarayan, C. Henson and A. Sheth, “Situation awareness via Abductive Reasoning from Semantic Sensor data: A preliminary report,” International Symposium on Collaborative Technologies and Systems, pp.111-118, May 2009.10.1109/CTS.2009.5067470Search in Google Scholar

A Srivastav, W Yicheng, E Hendrick,I Chattopadhyay, A Ray and S Phoha,”Information Fusion for Object &Situation Assessment in Sensor Networks,” In Proceedings ofAmerican Control Conference (ACC), pp.1274-1279, 2011.Search in Google Scholar

Lu-An Tang, Yu Xiao, Kim Sangkyum et al., “Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach,” International Journal of Distributed Sensor Networks, Vol. 2012, Article ID 724846, 19 pages, 2012.Search in Google Scholar

J Fogarty and S E. Hudson, “Toolkit Support for Developing and Deploying Sensor-Based Statistical Models of Human Situations”, In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp 135-144, 2007, ACM, New York,USA.10.1145/1240624.1240645Search in Google Scholar

S. Yau, D. Huang, H. Gong andY. Yao, “Support for Situation Awareness in Trustworthy UbiquitousComputing Application Software,” Software: Practice and Experience, pp 893-921, Vol. 36, No. 9,2006.10.1002/spe.736Search in Google Scholar

P. Costa, G. Guizzardi, J. Almeida, L. Pires and M. Van Sinderen, “Situations inConceptual Modeling of Context,”In Proceedings of the 10th IEEE International Enterprise Distributed Object Computing Conference Workshops, pp 6-16, October, 2006.Hong Kong.10.1109/EDOCW.2006.62Search in Google Scholar

S. W. Loke, “Representing and Reasoning with Situations for Context-Aware Pervasive Computing: ALogic Programming Perspective”, Knowledge Engineering Review, pp 213-233, Vol. 19 Issue 3, 2004.10.1017/S0269888905000263Search in Google Scholar

G. Thomson, S.Terzis and P. Nixon, “Situation Determination with Reusable Situation Specifications,” InProceedings of 4th IEEE International Conference on Pervasive Computing and Communications, pp 620-623, March 2006.Search in Google Scholar

T. Emmanuel, S. Intille and K. Larson, “Activity Recognition in the Home Using Simple and Ubiquitous Sensors”, In Proceedings of 2nd International Conference on Pervasive Computing in LNCS, Springer, Vol. 3001, pp 158-175,2004.Search in Google Scholar

N. Bicocchi, M. Lasagni andF. Zambonelli, “Bridging Vision and Commonsense forMultimodal Situation Recognition in Pervasive Systems,” 12thIEEE International Conference on Pervasive Computing and Communications,pp48-56, March 2012.10.1109/PerCom.2012.6199848Search in Google Scholar

L. Atallah et al., “Distributed Inferencing with Ambient and Wearable Sensors”, Wireless Communications and Mobile Computing, pp 117-131, Vol. 12, Issue 1, 2010.10.1002/wcm.893Search in Google Scholar

Y. Fischer, A. Bauer and J.Beyerer, “A Conceptual Framework for Automatic Situation Assessment,” in Proceedings of First International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), pp.234-239, 2011.10.1109/COGSIMA.2011.5753451Search in Google Scholar

A. Mahajan, C. Oesch, H. Padmanaban, L. Utterback, S. Chitikeshi and F. Figueroa, “Physical and Virtual Intelligent Sensors for Integrated Health Management Systems”, International Journal on Smart Sensing and Intelligent Systems, pp 559 – 575, Vol. 5, No. 3, September 2012.10.21307/ijssis-2017-495Search in Google Scholar

B.Ganter and R.Wille, “Formal Concept Analysis: Mathematical Foundations”, Springer Verlag, 1999.10.1007/978-3-642-59830-2Search in Google Scholar

K. Dalkir, “Knowledge Management in Theory and Practice”, The MITPress, 2011.Search in Google Scholar

http://conexp.sourceforge.net/Search in Google Scholar

J. Poelmans et al., “Formal Concept Analysis in Knowledge Discovery: ASurvey”, In Proceedings of 18th International Conference on Conceptual Structures: From Information to Intelligence,pp 139-153, 2010.10.1007/978-3-642-14197-3_15Search in Google Scholar

J. Herethet al.,”Conceptual Knowledge Discovery and Data Analysis”, In Proceedings of 8th International Conference onConceptual Structures: Logical, Linguistic, and Computational Issues, pp 421-437, 2000.10.1007/10722280_29Search in Google Scholar

Y. Zhao, K. George and U. Fayyad, “Hierarchical Clustering Algorithms for Document Datasets”, Data Mining and Knowledge Discovery, pp 141-168, Vol.10, Issue 2, March 2005.10.1007/s10618-005-0361-3Search in Google Scholar

A. Mannini and A. Sabatini, “Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers”, Sensors,pp. 1154-1175,Vol. 10,Issue 2, February 2010.Search in Google Scholar

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