This paper presents a novel approach for head tracking in augmented reality (AR) flight simulators using an adaptive fusion of Kalman and particle filters. This fusion dynamically balances the strengths of both algori...
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We study a network design problem (NDP) where the planner aims at selecting the optimal single-link intervention on a transportation network to minimize the travel time under Wardrop equilibrium flows. Our first resul...
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Aims. To investigate the extreme variability properties of the TeV blazar S4 0954+65 using optical photometric and polarization observations carried out between 2017–2023 using 3 ground-based telescopes. Methods. We ...
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This research explored a novel explicit total Lagrangian Fragile Points Method (FPM) for finite deformation of hyperelastic materials. In contrast to mesh-based methods, where mesh distortion may pose numerical challe...
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We study the problem of controlling multi-agent systems under a set of signal temporal logic tasks. Signal temporal logic is a formalism that is used to express time and space constraints for dynamical systems. Recent...
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In the last few decades, the use of power converters has become essential in the smart grid environment. Consequently, this leads to the presence of a high-level of conducted electromagnetic interference between the s...
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In the last few decades, the use of power converters has become essential in the smart grid environment. Consequently, this leads to the presence of a high-level of conducted electromagnetic interference between the smart grid elements. This paper studies the effect of two power converter modulation techniques: conventional fixed-frequency modulation and spread-spectrum modulation, on the performance of the Power Line Communication (PLC) signal. The paper presents a practical implementation of the system and discusses the results for different operating scenarios.
The paper proposes a cheap hybrid ground-air sensor network for environmental parameter measurements. The ground sensors are grouped into clusters, each cluster having several sensory nodes connected to a cluster head...
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ISBN:
(数字)9781728157429
ISBN:
(纸本)9781728157436
The paper proposes a cheap hybrid ground-air sensor network for environmental parameter measurements. The ground sensors are grouped into clusters, each cluster having several sensory nodes connected to a cluster head that sends the relevant data to the aerial, mobile nodes - unmanned aerial vehicles (UAVs). Thus, using optimal trajectories, the UAVs are used both for measuring directly environmental parameters, as well as for collecting data from ground sensors. The authors present the modules' implementation of the hybrid system: ordinary sensory nodes, cluster heads, ground control stations, communication modems and UAV platforms. Finally, the performances of the realized hybrid network are analyzed from multiple points of view: energy consumption, time, and data acquisition efficiency.
We present three classes of distributed formation controllers for achieving and maintaining the 2D/3D formation shape of manipulator end-effectors to cope with different scenarios due to availability of modeling param...
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This paper addresses the problem of end-effector formation control for manipulators that are subjected to external disturbances: input disturbance torques and disturbance forces at each end-effector. The disturbances ...
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In this paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. It was assumed that the solution shall operate in real-time, preferably for...
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