In the management of computer network systems, the service function chaining (SFC) modules play an important role by generating efficient paths for network traffic through physical servers with virtualized network fun...
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In this paper, statistical analysis of lightning-induced voltages on distribution lines accounting for lossy ground is proposed. The analysis is performed by means of a Monte Carlo-based probabilistic approach. It aim...
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This paper considers the robust relay precoder design problem for multi-input multi-output cognitive relay networks (MIMO-CRNs), where a pair of secondary user (SU) communicates using an amplify-and-forward (AF) half-...
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This study proposes an approach to determining the controller gain based on the linear quadratic regulator (LQR) method for a non-minimum phase plant. The extended state observer is designed based on the conventional ...
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This study proposes an 'General-Purpose Intelligent Management System of Logistics Fleet' aimed at providing an easy-to-install and financially affordable system that can service small and medium logistic busi...
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The Covid-19 pandemic has spawned numerous dynamic modeling attempts aimed at estimation, prediction, and ultimately control. The predictive power of these attempts has varied, and there remains a lack of consensus re...
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The Covid-19 pandemic has spawned numerous dynamic modeling attempts aimed at estimation, prediction, and ultimately control. The predictive power of these attempts has varied, and there remains a lack of consensus regarding the mechanisms of virus spread and the effectiveness of various non-pharmaceutical interventions that have been enforced regionally as well as nationally. Setting out in data available in the spring of 2020, and with a now-famous model by Imperial College researchers as example, we employ an information-theoretical approach to shed light on why the predictive power of early modeling approaches have remained disappointingly poor.
In recent times, Wireless Sensor Networks (WSNs) are broadly utilized in targeted monitoring applications. Traditional target coverage techniques usually consider that environment is known completely and every target ...
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Improved shuffled frog leaping algorithm (ISFLA) has been proposed in this paper for multi-robot path planning in a clutter environment. Basic SFLA algorithm has been improved in the local search process by adding the...
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Most existing Secure Multi-Party Computation (MPC) protocols for privacy-preserving training of decision trees over distributed data assume that the features are categorical. In real-life applications, features are of...
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In contemporary magnetic confinement devices, the density distribution is sensed with interferometers and actuated with feedback controlled gas injection and open-loop pellet injection. This is at variance with the de...
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