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Combining Pervasive Computing with Activity Recognition and Learning [chapter]

Patrice C., Bruno Bouchard, Abdenour Bouzouane, Sylvain Giroux
2010 Web Intelligence and Intelligent Agents  
Tambe (Tambe et al., 2000) has conducted some experiments, using a C4.5 decision-tree approach, on building an agent for helping user scheduling meetings based on observation learning of transfer decision  ...  The problem of plan recognition has been an active research topic for a long time (Carberry, 2001) and still remains very challenging.  ...  /books/web-intelligence-and-intelligent-agents/combining-pervasive-computingwith-activity-recognition-and-learning © 2010 The Author(s).  ... 
doi:10.5772/8382 fatcat:epzzxj4rsra5vpo4gw2y6vnya4

Activity Recognition: Approaches, Practices and Trends [chapter]

Liming Chen, Ismail Khalil
2011 Activity Recognition in Pervasive Intelligent Environments  
The chapter first reviews the existing approaches and algorithms that have been used for activity recognition in a number of related areas.  ...  Activity recognition has attracted increasing attention as a number of related research areas such as pervasive computing, intelligent environments and robotics converge on this critical issue.  ...  For example, Kauz [22] adopted firstorder axioms to build a library of hierarchical plans for plan recognition.  ... 
doi:10.2991/978-94-91216-05-3_1 fatcat:jvu3pv3mivdm5aw4incyrcoy3q

Sensor-Based Activity Recognition

Liming Chen, J. Hoey, C. D. Nugent, D. J. Cook, Zhiwen Yu
2012 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
We also discuss some promising directions for future research.  ...  We first discuss the general rationale and distinctions of vision-based and sensor-based activity recognition.  ...  Other emerging applications, such as intelligent meeting rooms and smart hospitals, are also dependent on activity recognition in order to provide multimodal interactions, proactive service provision,  ... 
doi:10.1109/tsmcc.2012.2198883 fatcat:6s6uew7xhjglva2wikyulmduiy

Informal learning recognition through a cloud ecosystem

Francisco José García-Peñalvo, Mark Johnson, Gustavo Ribeiro Alves, Miroslav Minović, Miguel Ángel Conde-González
2014 Future generations computer systems  
Cloud technologies provide ways to achieve this through new architectures, methodologies, and workflows that facilitate semantic tagging, recognition, and acknowledgment of in-formal learning activities  ...  The services facilitate the exchange of information and knowledge associated with informal learning activities ranging from the use of social software through widgets, computer gaming, and remote laboratory  ...  A technical means for coordination of informal learning brings the potential for recognition and exploitation of informal learning activities.  ... 
doi:10.1016/j.future.2013.08.004 fatcat:dskoj7jibbattgopjnbzfvaxri

User Activity Recognition through Software Sensors [chapter]

Stephan Reiff-Marganiec, Kamran Pathan, Yi Hong
2013 Distributed Networks  
As users use web services more frequently they are exchanging messages with the services through the SOAP protocol.  ...  However, determining the activity of a user has shown to be elusive to being sensed with hardware sensors.  ...  The CoBrA system [34] uses a broker-centric agent architecture to provide runtime support for intelligent meeting rooms.  ... 
doi:10.1201/b15282-14 fatcat:fccholxcirhkbnlpvwihp2e4iu

A survey on ontologies for human behavior recognition

Natalia Díaz Rodríguez, M. P. Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
2014 ACM Computing Surveys  
Describing user activity plays an essential role in ambient intelligence.  ...  In this work, we review different methods for human activity recognition, classified as data-driven and knowledge-based techniques.  ...  the Spanish Ministry of Economy and Competitiveness, and the project Development of an Intelligent System for Behaviour Detection and Control in a Tagged World (TIN2009-14538-C02-01).  ... 
doi:10.1145/2523819 fatcat:kvlfg5ghsfgpbewnbebhpakk4i

Applied Imagery Pattern Recognition 2011

2011 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  
Abstract: The Intelligence Advanced Research Projects Activity (IARP A) invests in high risklhigh-payoff research programs that have the potential to provide our nation with an overwhelming intelligence  ...  Again and again, we see that for some problems these computer methods are more sensitive, more perceptive, than even a trained artist or art historian, at least for a handful of problems.  ...  Such image/video geolocation is an extremely time consuming and labor-intensive activity that often meets with limited success.  ... 
doi:10.1109/aipr.2011.6176381 fatcat:7bbefbxrnnfjvdtun4zixrckjy

Recognition and Optimization Analysis of Urban Public Sports Facilities Based on Intelligent Image Processing

Hao Li, Dujuan Li, Bai Yuan Ding
2021 Computational Intelligence and Neuroscience  
The experimental results show that R-CNN, FAST R-CNN, and Faster R-CNN in urban public facilities can be intelligently recognized by image recognition technology for comparison.  ...  Finally, the study analyzes the service cost of public facilities, compared with traditional public services, with the application of public services under image recognition, so as to guide different groups  ...  Acknowledgments is work was supported by Nanchong City Philosophy and Social Science Research Planning Project (NC2019B181).  ... 
doi:10.1155/2021/8948248 pmid:34899898 pmcid:PMC8660230 fatcat:3eer3aaj3rf3bb5xkwkkutmu4i

Information Operations Recognition: from Nonlinear Analysis to Decision-making [article]

Aleksandr G. Dodonov, Dmitry V. Lande, Vitaliy V. Tsyganok, Oleh V. Andriichuk, Sergii V. Kadenko, Anastasia N. Graivoronskaya
2019 arXiv   pre-print
In this context, open source intelligence technology (OSINT) solves the problem of initial analysis of modern-time information flows.  ...  A separate chapter covers the applications of approaches from expert estimation theory and decision-making support to information operation recognition.  ...  It serves as a forum for coordination and facilitation of programs and activities on open source intelligence for all services and military command.  ... 
arXiv:1901.10876v2 fatcat:la2d5dgya5ft7nuispo7es3adq

Ontology‐based activity recognition in intelligent pervasive environments

Liming Chen, Chris Nugent
2009 International Journal of Web Information Systems  
The proposed approach adopts ontologies for modeling sensors, objects and activities, and exploits logical semantic reasoning for the purposes of activity recognition.  ...  Activity Recognition in Intelligent Pervasive Environments 3 context aware personalized activity assistance will be commonplace in the very near future.  ...  For example, Kauz (Kautz, 1991) adopted first-order axioms to build a library of hierarchical plans for plan recognition.  ... 
doi:10.1108/17440080911006199 fatcat:s56mcxvofzbpncaohnvgwk6o3a

Multibiometric Systems [chapter]

2010 Vein Pattern Recognition  
) for meeting those requirements.  ...  of service.  ...  the security test and evaluation (ST&E) activities, and the final risk assessment report).  ... 
doi:10.1201/9781439821381-c7 fatcat:zhw2azssm5a6hgyqhobtwyvbce

MARS: Multi-stage Attack Recognition System

Faeiz Alserhani, Monis Akhlaq, Irfan U. Awan, Andrea J. Cullen, Pravin Mirchandani
2010 2010 24th IEEE International Conference on Advanced Information Networking and Applications  
In this paper, we identify the limitations of the current techniques and propose a framework for alert correlation that overcomes these shortcomings.  ...  Alerts correlation techniques have been widely used to provide intelligent and stateful detection methodologies. This is to understand attack steps and predict the expected sequence of events.  ...  Hackers are shifting their focus from looking for fame and advertised attacks to profit-oriented activities. The current trends in cyber attacks are hidden, slowand-low, and coordinated.  ... 
doi:10.1109/aina.2010.57 dblp:conf/aina/AlserhaniAACM10 fatcat:bn4ktakv5jflzcvxzz552oiqcy

Building Recognition Using LiDAR and Energy Minimization Approach

Sergejs Kodors, Aivars Ratkevics, Aldis Rausis, Jazeps Buls
2015 Procedia Computer Science  
The document describes the energy minimization approach how to detect and recognize buildings in LiDAR point cloud.  ...  , which must be classified and transformed into vector data like shape files before using them in the geographical information systems (GIS) to solve urban planning and monitoring problems.  ...  Acknowledgements The authors express their gratitude to the State Land Service of Latvia for providing samples for the research purposes.  ... 
doi:10.1016/j.procs.2014.12.015 fatcat:52x5bzxdhfer5lcxyjjafhehku

Ontology-based office activity recognition with applications for energy savings

Tuan Anh Nguyen, Andrea Raspitzu, Marco Aiello
2013 Journal of Ambient Intelligence and Humanized Computing  
We propose an activity recognition solution that effectively handles multiple-user, multiple-area situations, rapidly recognizing office activities as inputs for building energy and comfort management  ...  and presence/absence) at three office activity areas (working room, meeting room, and coffee corner) for two persons with average accuracy of more than 92%.  ...  Acknowledgements We thank Peter Kamphuis, Dimitri de Jong and Jeroen Jager for providing data on the survey reported in Section 2.2.  ... 
doi:10.1007/s12652-013-0206-7 fatcat:i3tnje27qnfrtoy5zeaifxv24a

Mobile merchandise evaluation service using novel information retrieval and image recognition technology

Chi-Chun Lo, Ting-Huan Kuo, Hsu-Yang Kung, Hsiang-Ting Kao, Chi-Hua Chen, Che-I Wu, Ding-Yuan Cheng
2011 Computer Communications  
RMES and RMRS provide Intelligence Agents (IAs) and Multiple Document Summarization (MDS) to summarize recommendations on merchandise for MUs, all in real time.  ...  This change has been evident in the decreased ratio of planned purchases but not in the increase of planned (or spontaneous) purchases.  ...  These pictures will be sent back to the back-end RMIS for image recognition, to provide real-time and convenient merchandise evaluation service.  ... 
doi:10.1016/j.comcom.2010.03.033 fatcat:otuj4komone3vmc4njgkv537b4
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