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Hybrid reasoning technique for improving context-aware applications
2011
Knowledge and Information Systems
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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
2010
Pervasive and Mobile Computing
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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]
2021
arXiv
pre-print
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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]
2013
Lecture Notes in Computer Science
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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
2015
Applied Computer Systems
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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
2014
Sensors
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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
2013
Multiagent and Grid Systems
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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
2013
AASRI Procedia
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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
2012
Journal of Applied Computing Research
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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
2012
Energy Procedia
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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
2013
Personal and Ubiquitous Computing
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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
2019
Proceedings (MDPI)
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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
2016
International Journal of Computer Applications Technology and Research
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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
2013
Journal of Organizational Computing and Electronic Commerce
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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
2017
Journal of Big Data
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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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