Gestural interaction uses human gestures to interact with an interactive system. Many efforts have been done to define gestures and facilitate a comfortable and natural way to interact. In this paper an experimental s...
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ISBN:
(纸本)9781450328807
Gestural interaction uses human gestures to interact with an interactive system. Many efforts have been done to define gestures and facilitate a comfortable and natural way to interact. In this paper an experimental session in laboratory conditions is presented aiming at analyzing the usability factors of a visionbased gestural interface. Based on the results, recommendations are given to modify the configuration of some parameters between the human, the Kinect sensor, Kinect Mouse and the virtual visit of a museum with the final aim to improve the overall interaction. Copyright 2014 ACM.
The speed of real-time adaptive optical systems is primarily restricted by the data processing hardware and computational aspects. Furthermore, the application of mirror layouts with increasing numbers of actuators re...
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Model predictive control has become a widely accepted strategy in industrial applications in the recent years. Often mentioned reasons for the success are the optimization based on a system model, consideration of con...
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An intelligent building is required to provide safety to its occupants against any possible threat that may affect the indoor air quality, such as accidental or malicious airborne contaminant release in the building i...
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ISBN:
(纸本)9781479947287
An intelligent building is required to provide safety to its occupants against any possible threat that may affect the indoor air quality, such as accidental or malicious airborne contaminant release in the building interior. In this work, we design a distributed methodology for detecting and isolating multiple contaminant events in a large-scale building. Specifically, we consider the building as a collection of interconnected subsystems and we design a contaminant event monitoring agent for each subsystem. Each monitoring agent aims to detect the contamination of the underlying subsystem and isolate the zone where the contaminant source is located, while it is allowed to exchange information with its neighboring agents. The decision logic implemented in the contaminant event monitoring agent is based on the generation of observer-based residuals and adaptive thresholds. We demonstrate our proposed formulation using a 14-zone building case study.
Hybrid systems with memory are dynamical systems exhibiting both hybrid and delay phenomena. We present a general modelling framework for such systems using hybrid functional inclusions, whose generalized solutions ar...
Hybrid systems with memory are dynamical systems exhibiting both hybrid and delay phenomena. We present a general modelling framework for such systems using hybrid functional inclusions, whose generalized solutions are defined on hybrid time domains and evolve in the phase space of hybrid memory arcs equipped with the graphical convergence topology. We prove a general existence result based on some basic conditions on the data of hybrid systems. We further establish sufficient conditions for the stability analysis of hybrid systems with memory using Lyapunov-Razumikhin (L-R) functions. We demonstrate the stability results on a general nonlinear system with switching dynamics and state jumps.
The paper analyzes a variable common mode voltage injection technique for multi-phase sine wave pulse width modulation with improved computational efficiency compared to the Space-Vector Pulse Width Modulation (SVPWM)...
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The paper analyzes a variable common mode voltage injection technique for multi-phase sine wave pulse width modulation with improved computational efficiency compared to the Space-Vector Pulse Width Modulation (SVPWM) technique and fewer level switchings in the power inverter, which still achieves similar modulation and control performance in the case of two level voltage source inverters. Also, a simple saturation handling technique is proposed in order to limit the waveform distortions when used to drive an electric machine during high torque periods (e.g. during steep startup or disturbance rejection). The fewer level switchings in the power inverter lead to improved output power efficiency and decreased thermal dissipation, factors that represent essential constraints in the current automotive industry. The simulation results for the three-phase case are compared to Sinusoidal Pulse Width Modulation (SPWM) and SVPWM, taking into account the effective use of the DC bus voltage, the distortion in the generated voltage waveforms and the current feedback that is obtained.
This paper investigates convergence properties of scalable algorithms for nonconvex and structured optimization. We consider a method that is adapted from the classic quadratic penalty function method, the Alternating...
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This paper investigates convergence properties of scalable algorithms for nonconvex and structured optimization. We consider a method that is adapted from the classic quadratic penalty function method, the Alternating Direction Penalty Method (ADPM). Unlike the original quadratic penalty function method, in which single-step optimizations are adopted, ADPM uses alternating optimization, which in turn is exploited to enable scalability of the algorithm. A special case of ADPM is a variant of the well known Alternating Direction Method of Multipliers (ADMM), where the penalty parameter is increased to infinity. We show that due to the increasing penalty, the ADPM asymptotically reaches a primal feasible point under mild conditions. Moreover, we give numerical evidence that demonstrates the potential of the ADPM for computing local optimal points when the penalty is not updated too aggressively.
This article presents an experimental evaluation of a modified obstacle based artificial potential field algorithm for an off-road mobile robot. The first contribution of the presented approach concerns the transforma...
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ISBN:
(纸本)9781479979202
This article presents an experimental evaluation of a modified obstacle based artificial potential field algorithm for an off-road mobile robot. The first contribution of the presented approach concerns the transformation of the artificial potential field method for the guidance of the vehicle and obstacle avoidance, in order to make it suitable for utilising a visual feedback. The visual feedback is relying on a depth image, provided by the low cost kinect sensor. The second contribution concerns the proposal of a novel scheme for the identification and perception of obstacles. Based on the proposed methodology, the vehicle is capable of categorising the obstacles based on their height in order to alter the calculated forces, for enabling a cognitive decision regarding their avoidance or the driving over them, by utilising the robot's off road capabilities. The proposed scheme is highly suggested for off road robots, since in the normal cases, the existence of small rocks, branches, etc. can be accidentally identified as obstacles that could make the robot to avoid them or block its further movement. The performance of the proposed modified potential field algorithm has been experimentally applied and evaluated in multiple robotic exploration scenarios, where from the obtained results the efficiency and the advantages of such a modified scheme have been depicted.
We address the weight-balancing problem for a distributed system whose components (nodes) can exchange information via interconnection links (edges) that form an arbitrary, possibly directed, communication topology (d...
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We address the weight-balancing problem for a distributed system whose components (nodes) can exchange information via interconnection links (edges) that form an arbitrary, possibly directed, communication topology (digraph). A weighted digraph is balanced if, for each node, the sum of the weights of the edges outgoing from that node is equal to the sum of the weights of the edges incoming to that node. Weight-balanced digraphs play a key role in a variety of applications, such as coordination of groups of robots, distributed decision making, and distributed averaging which is important for a wide range of applications in signal processing. We propose a distributed algorithm for solving the weight balancing problem in a minimum number of iterations, when the weights are nonnegative real numbers. We also provide examples to corroborate the proposed algorithm.
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