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Petr S. Martyshko, Igor V. Ladovskii, Denis D. Byzov and Alexander G. Tsidaev
We present a new method for gravity data inversion for the linear problem (reconstruction of density distribution by given gravity field). This is an iteration algorithm based on the ideas of local minimization (also known as local corrections method). U...
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Yeonjoo Kim, Eun-Sung Chung, Kwangjae Won and Kyungik Gil
This study developed a robust parameter set (ROPS) selection framework for a rainfall-runoff model that considers multi-events using the Pareto optimum and minimax regret approach (MRA). The calibrated parameter sets based on the Nash-Sutcliffe coefficie...
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Colin Sowder and E. Ashley Steel
Inexpensive remote temperature data loggers have allowed for a dramatic increase of data describing water temperature regimes. This data is used in understanding the ecological functioning of natural riverine systems and in quantifying changes in these s...
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Tor-Morten Gr,Jarle Hansen,Gheorghita Ghinea
Pág. pp. 13 - 22
In this paper we pursue the context-aware paradigm in a distributed mobile environment. Context-awareness plays a significant role in the domain of implicit human computer interaction and we present an intelligent context-aware meeting room application. ...
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