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Hybrid Knowledge Modeling for Ambient Intelligence [chapter]

Porfírio Filipe, Nuno Mamede
Universal Access in Ambient Intelligence Environments  
In this context, a SDS enables universal access to ambient intelligence for anyone, anywhere at anytime, allowing the access to any device through any media or language.  ...  When a device is activated or deactivated, a broker's knowledge model is updated from device's knowledge model using a knowledge integration process.  ...  Introduction Ambient Intelligence (AmI) [1] is a vision that expresses a recent paradigm in information technology.  ... 
doi:10.1007/978-3-540-71025-7_5 dblp:conf/EUprojects/FilipeM06 fatcat:pkkiwcmbdbaxhogkzam2pqalma

Context computing for internet of things

Hector John T. Manaligod, Michael Joseph S. Diño, Supratip Ghose, Jungsoo Han
2019 Journal of Ambient Intelligence and Humanized Computing  
software, ambient context computing, adaptive knowledge base systems, advancement in wireless technologies, ambient IoT contexts, hybrid networking systems, artificial intelligence, innovative applications  ...  of semantic computing, knowledge mining, big data analysis, and ambient intelligence.  ...  This study aims to generate a deep neural-network learning model with a knowledge base for ambient context-awareness.  ... 
doi:10.1007/s12652-019-01560-3 fatcat:bfwo4fth6zfy3d4glttl6xujbq

Semantic-based technologies for video analysis in activity recognition, video surveillance and smart home domains

Pierluigi Ritrovato, Luca Greco
2020 Journal of Ambient Intelligence and Humanized Computing  
These approaches seems to be promising not only for object tracking in video surveillance systems but also for human activity and action recognition in Ambient Intelligence and Smart Home environment,  ...  The other three papers demonstrate the effectiveness of building solutions following an hybrid approach combining knowledge based techniques with traditional ones in context like object tracking and image  ... 
doi:10.1007/s12652-020-02269-4 fatcat:cakujoe25vftvhusloe2us2ztu

Challenges and trends in Ambient Intelligence

Paulo Novais, Gabriel Villarrubia González
2020 Journal of Ambient Intelligence and Humanized Computing  
We are also grateful to Vincenzo Loia, Editor-in-Chief of the Journal of Ambient Intelligence and Humanized Computing.  ...  Acknowledgements As the special issue editors, we would like to take this opportunity to thank the various authors for their papers and the reviewers for their work.  ...  The approach is based on a hybrid intelligent system, by combining different regression techniques in local models.  ... 
doi:10.1007/s12652-020-02023-w fatcat:dsjsj52ldfaejamkg6eyc4pjyi

Dem@Home: Ambient Monitoring and Clinical Support for People Living with Dementia [chapter]

Thanos G. Stavropoulos, Georgios Meditskos, Thodoris Tsompanidis, Stelios Andreadis, Ioannis Kompatsiaris
2016 Lecture Notes in Computer Science  
Dem@Home is an Ambient Assisted Living framework to support intelligent dementia care, by integrating a variety of ambient and wearable sensors together with sophisticated, interdisciplinary methods, such  ...  Semantic Web technologies, such as OWL, are used to represent sensor observations and application domain specifics as well as to implement hybrid activity recognition and problem detection solutions.  ...  Specifically, it follows a hybrid reasoning scheme, using DL reasoning for activity detection and SPARQL to extract clinical problems.  ... 
doi:10.1007/978-3-319-47602-5_6 fatcat:66ylgelpgbfghes37kdeayrzvy

A context-aware middleware for ambient intelligence

Tao Xu, Bertrand David, René Chalon, Yun Zhou
2011 Proceedings of the Workshop on Posters and Demos Track - PDT '11  
This platform provides an environment for rapid prototyping of context aware services in Ambient Intelligent (AmI).  ...  By the acronym MOCOCO we refer to our view of ambient intelligence (AmI), pointing out three main characteristics: Mobility, Contextualization and Collaboration.  ...  In this way we obtain a more flexible, robust, and efficient problem resolution in complex ambient intelligence situations.  ... 
doi:10.1145/2088960.2088970 fatcat:5marnktapvdajib2d4wcu2wtpm

Modeling and Control Maximum Power Point Tracking of an Autonomous Photovoltaic System Using Artificial Intelligence

Amadou Fousseyni Toure, David Tchoffa, Abderrahman El Mhamedi, Badie Diourte, Myriam Lamolle
2021 Energy and Power Engineering  
We proposed a hybrid controller of maximum power point tracking based on artificial neural networks. This hybrid controller is composed of two neural networks.  ...  The data necessary for the training are collected from a very large number of real-time measurements of the PV module.  ...  Intelligence.  ... 
doi:10.4236/epe.2021.1312030 fatcat:inlqlznb3rghpp5hrjtell2qee

Special Issue: Knowledge-based intelligent systems and their applications

Ignac Lovrek, Robert J. Howlett, Chee Peng Lim, Lakhmi C. Jain, Gloria E. Phillips-Wren
2010 Journal of Intelligent & Fuzzy Systems  
They harness the benefits of knowledge and intelligence to form an integrated framework for problem solving.  ...  Ambient intelligence envisages the concept of smart environments which are able to provide users with timely and effective services and information, without users themselves being aware of the underlying  ...  They harness the benefits of knowledge and intelligence to form an integrated framework for problem solving.  ... 
doi:10.3233/ifs-2010-0430 dblp:journals/jifs/LovrekHLJP10 fatcat:pqldbkq6dzfwbegmpvawluakly

Ambient Intelligence Interaction via Dialogue Systems [chapter]

Porfirio Filipe, Nuno Mamede
2010 Ambient Intelligence  
concerns the number of interactions needed for convergence, www.intechopen.com Ambient Intelligence 114 which restricts their application mainly to offline processing.  ...  Section 4 gives an overview of the knowledge modelling approach for semantic interface design. Section 5 describes the Knowledge Aggregation Process (KAP).  ...  In this book a selection of unsolved problems which are considered key for ambient intelligence to become a reality, is analyzed and studied in depth.  ... 
doi:10.5772/8677 fatcat:hfubmndwc5cffnswotkl4qmmhy

AI tools for use in assembly automation and some examples of recent applications

David Sanders, Alexander Gegov
2013 Assembly Automation  
Ambient-intelligence.  ...  Ambient Intelligence to improve energy efficiency. Ambient Intelligence and Knowledge Management technologies are being used to optimise the energy efficiency of manufacturing units [88] .  ... 
doi:10.1108/01445151311306717 fatcat:jj5hnx5li5alde7fa352nwdp64

Transparency Issues in a Hybrid Reasoning Architecture for Assistive Healthcare

Bingchuan Yuan, John Herbert
2013 AASRI Procedia  
A personalized, extensible hybrid reasoning framework has been implemented for the CARA (Context Aware Real-time Assistant) system which aims to satisfy these design goals.  ...  for both subject and caregivers.  ...  In addition, simulation of Ambient Contexts models changes of light, room temperature, sound and humidity.  ... 
doi:10.1016/j.aasri.2013.10.040 fatcat:fgmyktzfm5dvbjw3nr6uao5vw4

Handbook of Ambient Intelligence and Smart Environments20114Handbook of Ambient Intelligence and Smart Environments. Berlin: Springer 2010. $229.00 (hardcover) xviii, 1294 pp. (100 illustr.) 974‐0‐387‐93807

H. Nakashima
2011 Kybernetes  
Intelligence 582 2.1 State-of-the-Art in Infrastructure Monitoring . . . . . . . . . . 584 2.2 Context-Awareness in Ambient Intelligence . . . . . . . . . . 584 2.3 Knowledge Representation and Reasoning  ...  Model (B): Abnormal Behavior Detection . 682 4.3 Application Model (C): Enabling "Smart Environments" 686 4.4 Application Model (D): Environment or "Ambient Intelligence" (Learning) . . . . . . .  ...  Now washing machines, heating systems and even toys come equipped with some capability for autonomous decision making.  ... 
doi:10.1108/03684921111169602 fatcat:vzpxididpfb5lceysolr3sjd6a

Analysis of a hybrid neural network as underlying mechanism for a situation prediction engine

Carlos Oberdan Rolim, Anubis G.M. Rossetto, Valderi R.Q. Leithardt, Claudio F.R. Geyer
2012 Journal of Applied Computing Research  
We analysed a hybrid neural network called Multi-output Adaptive Neural Fuzzy Inference System (MANFIS) and compared its predictive ability with a Multi-Layer Perceptron (MLP).  ...  This paper presents the results regarding a technique that can be used as an underlying mechanism for situation prediction.  ...  Reasoning and prediction of situation For Ambient Intelligence to be truly effective the systems must be able to reason and predict context information.  ... 
doi:10.4013/jacr.2012.21.03 fatcat:ucrapspspbe43pqt4i75z2jiga

Integration of Intelligent Agents Supporting Automatic Service Composition in Ambient Intelligence

Maria J. Santofimia, Francisco Moya, Felix J. Villanueva, David Villa, Juan C. Lopez
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Systems for Ambient Intelligence environments demand at some stage a service composition task, as a mean of adaptability to the context changes.  ...  This paper proposes the use of Intelligent Agents for the automation of the composition task, providing transparency from the user point of view.  ...  Intelligent agents have been modelled as BDI Agent, using for this purpose the Jadex platform.  ... 
doi:10.1109/wiiat.2008.244 dblp:conf/iat/SantofimiaMVVL08 fatcat:gkyqj4ir7zdynmk2owzkzkjyvi

Special issue on human behaviour monitoring, interpretation and understanding

Ahmad Lotfi, Amir Pourabdollah, Diego Resende Faria
2020 Journal of Ambient Intelligence and Humanized Computing  
Acknowledgements The guest editors would like to thank the Editor in Chief of the Journal of Ambient Intelligence and Humanized Computing, Prof.  ...  Their knowledgeable comments on the papers have greatly contributed to improve the qualities of the published papers. The guest editors wish to thank all of them for their invaluable help.  ...  This has been achieved by proposing a descriptive language, a hybrid Markov model, and developing a knowledge-base developed by processing data coming from ambient sensors.  ... 
doi:10.1007/s12652-020-02544-4 fatcat:yhpxsqfebfdpxh6qni3avuanza
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