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The objective of this paper is to investigate a method to model data uncertainties in order to regulate a smart heating system that reduces energy consumption. To achieve this, we propose a multilevel data fusion system that provides a contextual trend, based on the belief theory of Dempster-Shafer for data combination and the Transferable Belief Model (TBM) to take the decision. The fusion system...
Due to the fluctuations in energy prices and the global warming effects as a result of pollution emission in the energy generation/conversion processes, energy conservation has gained much attention recently. The buildings in US consume significant amount of energy. Thus undertaking a building retrofitting project, in which new technology and features are added to the existing structure, can potentially...
Occupancy prediction is a relatively new domain of research. It has gained momentum over the past decade. Varying approaches have been proposed to profile occupancy of buildings or space. Smart occupancy patterns, once predicted, can be effectively used in modeling energy management systems to achieve energy savings. While doing so, we also take into consideration the potential for occupant discomfort...
Today's mobile devices have inherited many of the characteristics of desktop computing -- including the assumptions that the user's full attention and dexterity can be focused on the interface. Unfortunately, on-the-go users are impaired by their mobility and often find desktop-style Windows Icon Menu and Pointer (WIMP) interfaces difficult, if not impossible, to use while performing their primary...
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