Verification of stochastic models of window opening behaviour for residential buildings
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Many car-following models predict a stable car-following behavior with a very small fluctuation around an equilibrium value g∗ of the net headway g with zero speed-difference Δv between the following and the lead vehicle. However, it is well-known and addi ...
In tropical and subtropical regions, air-conditioning is employed throughout the year, which poses a significant challenge to the designer in reducing its energy consumption. Buildings in these regions would have latent load that is large enough throughout ...
In the context of finding efficient and environmentally friendly solutions to energy pro- duction and consumption, this work presents a method for the systematic resolution of district energy problems using Multi-Objective Optimisation (MOO) methods. A dis ...
Until now, most efforts to improve monosaccharide production from biomass through pretreatment and enzymatic hydrolysis have used empirical optimization rather than employing a rational design process guided by a theory-based modeling framework. For such a ...
This study aims to explore the possibility of using machine learning techniques to build predictive models of performance in collaborative induction tasks. More specifically, we explored how signal-level data, like eye-gaze data and raw speech may be used ...
International Society of the Learning Sciences2009
Due to increasing globalization, urban societies are becoming more multicultural. The availability of large-scale digital mobility traces e.g. from tweets or checkins provides an opportunity to explore multiculturalism that until recently could only be add ...
The growing importance of economic and environmental issues associated with the replacement of transportation infrastructure creates a demand for new techniques that are able to predict accurately the behaviour of existing structures. While monitoring stru ...
This study investigates the potential for energy and water sustainability in hot and humid climates by utilizing the condensate captured from large dedicated air handling units (AHUs) for pre-cooling outdoor air in another AHU and subsequently offsetting c ...
The FuturICT project seeks to use the power of big data, analytic models grounded in complexity science, and the collective intelligence they yield for societal benefit. Accordingly, this paper argues that these new tools should not remain the preserve of ...
Following the seminal work of Von Dreele, high quality powder X-ray diffraction studies on proteins are being established as a valuable complementary technique to single-crystal measurements. Several studies using a variety of experiments approaches have b ...