The paper presents a solution for holonic control of smart manufacturing systems, using a mix of digitization procedures that capitalize on the possibilities offered by a Digital Twin simulation environment in modelin...
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New information technology is represented to be an effective tool for environmental monitoring data processing when unremovable information uncertainties exist and additional in-situ measurements can not be realized. ...
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Context awareness concept has evolved over time both in terms of associated technology and of domains of application and is becoming a key issue in designing systems with intelligent behavior, as the capacity of adapt...
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As society becomes more inter-dependent and inter-connected, the need of timely and efficient decision-making has become a necessity. Thus, the number of decision-making systems has steadily risen, allowing for an ove...
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Unknowingly we surround ourselves with code. Our technological world revolves around it and its quality impacts us. 85 billion USD are lost annually worldwide because of our lack of interest in improving the way we wr...
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The objective of this paper is trajectory tracking for an aerial vehicle in presence of wind disturbances. The approach first involves linearizing the non-linear model of the aerial vehicle around operating points cho...
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This research focuses on ubiquitous sensing systems for activity and gesture recognition through novel optical sensing and energy harvesting technologies such as triboelectric nanogenerators (TENG), solar cells, and v...
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The information on the structure of the forest has been of high interest for a long time, being related to the possibilities of maximizing the wood production in the conditions of ensuring ecological stability, but al...
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This paper aims at developing new techniques that study vital functions of the heart by analysing biological signals. ECG prediction is important for many current medical applications. Currently, there are many machin...
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In this paper we present a new classification method based on Dictionary Learning (DL). The main contribution consists of a kernel version of incoherent DL, derived from its standard linear counterpart. We also propos...
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