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Context Representation and Maximize Power Efficiency in Mobile Sensing

Journal: International Journal of Computer Techniques (Vol.2, No. 2)

Publication Date:

Authors : ; ;

Page : 114-120

Keywords : Mobile sensing; Energy efficiency; Context-awareness; Machine learning;

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Context representation and maximize power efficiency in mobile sensing applications require continuous data achievement and construal on more mobile sensor application level Existing model framework and inhomogeneous decreasing device battery lifetimes and it's operations put a heavy workload on the smart phone processor and sensor. Overcome from existing system in proposed using Fuzzy logic is an approach to novel context-inferring algorithms and generic framework designs that can help readers enhance existing between quality and price in mobile sensing applications, especially accuracy and power consumption. Proposed Focusing on a specific sensor to discover possible target applications in order to exploit contextual data. Proposed system providing an accurate user state framework model and more maximize power efficiency while the model operates on mobile sensor applications. Proposing developed the future of context-aware mobile sensing applications intends to generate and simplify a generic framework structure for user states.

Last modified: 2015-07-09 15:40:52