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Hybrid reasoning technique for improving context-aware applications

Matthias Strobbe, Olivier Van Laere, Bart Dhoedt, Filip De Turck, Piet Demeester
2011 Knowledge and Information Systems  
In both use cases, the hybrid approach is shown to provide a significant improvement.  ...  An important aspect of such platforms is the derivation of new, high-level knowledge by combining different types of context information using reasoning techniques.  ...  Besides these reasoning techniques, case-based reasoning and fuzzy reasoning seem very interesting to be used in context-aware frameworks.  ... 
doi:10.1007/s10115-011-0411-7 fatcat:4m5fgoenvvfw5ccwsqdvtxpssq

A survey of context modelling and reasoning techniques

Claudio Bettini, Oliver Brdiczka, Karen Henricksen, Jadwiga Indulska, Daniela Nicklas, Anand Ranganathan, Daniele Riboni
2010 Pervasive and Mobile Computing  
These techniques reduce the complexity of context-aware applications and improve their maintainability and evolvability.  ...  The pervasive computing community increasingly understands that developing context-aware applications should be supported by adequate context information modelling and reasoning techniques.  ...  A large part of this research investigates approaches to modelling context information used by context-aware applications and reasoning techniques for context information.  ... 
doi:10.1016/j.pmcj.2009.06.002 fatcat:u6an6bke4raipfdh6xtln4deze

Modelling and Reasoning Techniques for Context Aware Computing in Intelligent Transportation System [article]

Swarnamugi.M, Chinnaiyan.R
2021 arXiv   pre-print
The objective of this research paper is to highlight context and its features in ITS and to address the applicability of modelling techniques and reasoning approaches in Intelligent Transportation System  ...  We present a review on prominent applications developed in the literature concerning context awareness in the intelligent transportation system.  ...  RL in ITS applications is used to improve the system performance. Q-Learning is widely used in context-aware applications of ITS [42] [57] [58] .  ... 
arXiv:2107.14374v1 fatcat:whe2kjexingwvnacpw7iz7ecrm

A Research Roadmap for Context-Awareness-Based Self-managed Systems [chapter]

Weishan Zhang, Klaus Marius Hansen, Paolo Bellavista
2013 Lecture Notes in Computer Science  
For example, how to efficiently retrieve underlying contexts that are difficult to recognize especially with resource-limited handheld devices, how to make use of these contexts for achieving self-management  ...  , and how to process large-scale contexts.  ...  Weishan Zhang has been supported by "the Fundamental Research Funds for the Central Universities" and also the start up funds for "Academic Top-Notch in China University of Petroleum' professors.  ... 
doi:10.1007/978-3-642-37804-1_28 fatcat:jlqglpbgynedjmeypjer26hg5y

The Acquisition of Context Data of Study Process and their Application in Classroom and Intelligent Tutoring Systems

Janis Bicans
2015 Applied Computer Systems  
This sensor data put into the context of the study process can be widely used to improve student experience in the classroom and e-learning by providing more precise and detailed information to the teacher  ...  and/or an intelligent tutoring system for the selection of an appropriate tutoring strategy.  ...  Location awareness and mobile applications have been a subject of interest for context aware system authors for years.  ... 
doi:10.1515/acss-2015-0016 fatcat:3lwn5yovmvdtfh5qkghftdf3r4

Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones

Sara Saeedi, Adel Moussa, Naser El-Sheimy
2014 Sensors  
Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic.  ...  Context-aware systems are concerned with the following challenges which are addressed in this paper: context acquisition, context understanding, and context-aware application adaptation.  ...  A new hybrid paradigm is introduced for context recognition and applying the context for PNS application.  ... 
doi:10.3390/s140405742 pmid:24670715 pmcid:PMC4029676 fatcat:ez4ktd6cjvanvp5qblmbs6erwa

FRIENDs: Brain-monitoring agents for adaptive socio-technical systems

Alexis Morris, Mihaela Ulieru
2013 Multiagent and Grid Systems  
Brain cognitive context awareness Developing high human-awareness systems is a big challenge, and remains a novel problem related to the overarching goal of improving the socio-technical gap.  ...  Current approaches target a single user and application situation. To be ubiquitous it is unrealistic for applications to have specialized overhead for individual users.  ...  architectures for context awareness, and iv) application specific uses of brain context.  ... 
doi:10.3233/mgs-120198 fatcat:7a3zclxz2rbnrgo362d6g7lddq

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.  ...  The hybrid reasoning architecture incorporates both rule-based and case-based reasoning; this enables CARA to be more robust and to adapt to a changing environment by continuously retraining with new cases  ...  Conclusions The CARA context-aware hybrid reasoning framework (combining fuzzy rule-based reasoning with a case-based model) provides the basis for an assistive healthcare solution in a smart home environment  ... 
doi:10.1016/j.aasri.2013.10.040 fatcat:fgmyktzfm5dvbjw3nr6uao5vw4

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  
The results demonstrate that, depending on the application, the use of neural networks can be considered to be a good approach for situation prediction, when combined with other techniques.  ...  This paper presents the results regarding a technique that can be used as an underlying mechanism for situation prediction.  ...  Another future topic for study is predicting not only the information that makes the next state of the sensors, but also the N states beyond that, which will improve the context adaptations of applications  ... 
doi:10.4013/jacr.2012.21.03 fatcat:ucrapspspbe43pqt4i75z2jiga

Filtering Technique on Mobile Cloud Computing

Changbok, Hyokyung Chang, Yongho Kang, Yumi Bae, Hyosik Ahn, Euiin Choi
2012 Energy Procedia  
We also apply the context of usage location and time to it for improving recommendation.  ...  Hence, this paper filtering approach based on resource usage frequency in mobile cloud computing in order to provide distributed IT resources and services to users based on context-awareness information  ...  Acknowledgments This research was financially supported by the Ministry of Education, Science Technology (MEST) and National Research Foundation of Korea(NRF) through the Human Resource Training Project for  ... 
doi:10.1016/j.egypro.2012.01.209 fatcat:b4mnxwa6gvbtbfgdrhcz5imfw4

Context-aware hybrid reasoning framework for pervasive healthcare

Bingchuan Yuan, John Herbert
2013 Personal and Ubiquitous Computing  
The work in this paper introduces a personalized, flexible and extensible hybrid reasoning framework for CARA system in a smart home environment which provides context-aware sensor data fusion as well  ...  Case study for evaluation of this hybrid reasoning framework is carried out under simulated but realistic smart home scenarios.  ...  Case-based reasoning is also a successful technique for context aware systems in many domains [27, 28] ,but less so for medical applications.  ... 
doi:10.1007/s00779-013-0696-5 fatcat:fr6c76hpdbeilmzpyscjxziaqy

Balancing Timing and Accuracy Requirements in Human Activity Recognition Mobile Applications

Jabla, Buendía, Khemaja, Faiz
2019 Proceedings (MDPI)  
Timing requirements are present in many current context-aware and ambient intelligent applications.  ...  These kinds of applications usually demand a timing response according to needs dealing with context changes and user interactions.  ...  COSAR [15] was a good example of a hybrid reasoning framework for context-aware activity recognition to ontologically refine the statistical predictions. Chen et al.  ... 
doi:10.3390/proceedings2019031015 fatcat:wqoq2xvr6zeszbqu5bopjawgfm

Activity Context Modeling in Context-Aware Environment

Samuel King Opoku
2016 International Journal of Computer Applications Technology and Research  
Key-value and object-oriented techniques fairly support data abstraction stage whereas the logic-based and ontology-based techniques are the ideal techniques for reasoning and planning stage.  ...  Pervasive computing takes advantage of context-aware computing to track, use and adapt to contextual information.  ...  The works of [21] and [35] introduced hybrid approach by combining different modelling techniques to improve performance.  ... 
doi:10.7753/ijcatr0511.1002 fatcat:awa2altddvgdhky3mgppi2c3o4

Open Mobile Miner: A Toolkit for Building Situation-Aware Data Mining Applications

Pari Delir Haghighi, Shonali Krishnaswamy, Arkady Zaslavsky, Mohamed Medhat Gaber, Abhijat Sinha, Brett Gillick
2013 Journal of Organizational Computing and Electronic Commerce  
In this paper we qualitatively extend the notion of resourceaware adaptation of mobile data mining to holistically enable situation-awareness feature for user applications.  ...  In organizational computing and information systems, data mining techniques have been widely used for analyzing customer behaviour and discovering hidden patterns.  ...  Acknowledgements We express our deep thanks to Prof Frada Burstein for her advice and insightful suggestions with regard to this work and paper.  ... 
doi:10.1080/10919392.2013.807713 fatcat:uso6nkqwjrfa3ldvof53rgdsre

The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis

Simon Elias Bibri, John Krogstie
2017 Journal of Big Data  
life in terms of employing a wide variety of big data and context-aware applications for advancing sustainability.  ...  We argue that big data analytics and context-aware Open Access © The Author(s) 2017.  ...  Urban context recognition techniques and algorithms Machine learning and hybrid modeling in context-aware computing Context-aware computing as a prerequisite enabling technology for AmI, UbiComp, and  ... 
doi:10.1186/s40537-017-0091-6 fatcat:tuoghrgbtzdflkrfb3ddcac6x4
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