The Schmidt measure was introduced as a tool to quantify the degree of multipartite entanglement, which is a natural generalization of the Schmidt rank for a bipartite system and is particularly suitable for character...
The Schmidt measure was introduced as a tool to quantify the degree of multipartite entanglement, which is a natural generalization of the Schmidt rank for a bipartite system and is particularly suitable for characterizing the multiparticle entanglement of graph states and other quantum states with underlying discrete structures. In this paper, by a counterexample we show that the Schmidt measure is not fully additive for pure states.
In this paper, particle swarm optimization with quantum infusion (PSO-QI) has been applied for the design of digital filters. In PSO-QI, Global best (gbest) particle (in PSO star topology) obtained from particle swarm...
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In this paper, particle swarm optimization with quantum infusion (PSO-QI) has been applied for the design of digital filters. In PSO-QI, Global best (gbest) particle (in PSO star topology) obtained from particle swarm optimization is enhanced by doing a tournament with an offspring produced by quantum behaved PSO, and selecting the winner as the new gbest. Filters are designed based on the best approximation to the ideal response by minimizing the maximum ripples in passband and stopband of the filter response. PSO-QI, as is shown in the paper, converges to a better fitness. This new algorithm is implemented in the design of finite impulse response (FIR) and infinite impulse response (IIR) filter.
Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection ha...
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Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection has been intensively studied, few considers the coverage problem from the perspective of target localization. In this paper, we investigate the coverage problem from the perspective of target localization for camera sensor networks. We first propose a novel localization-oriented sensing model based on the perspective projection of camera. Then, we propose a new notion of localization-oriented coverage (L-coverage for short). We assume that all camera sensors make the measurements independent of other in the field, and these camera sensors can cooperate to make an accurate estimation for the location of the target. In addition, the relationships among L-coverage, 2-coverage, and the density of camera sensors are also discussed in this paper. The obtained results show that our model can be effectively deployed in many practical scenarios.
A basic question regarding quantum entangled states is whether one can be probabilistically converted to another through local operations and classical communication exclusively. While the answer for bipartite systems...
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A basic question regarding quantum entangled states is whether one can be probabilistically converted to another through local operations and classical communication exclusively. While the answer for bipartite systems is known, we show that for tripartite systems, this question encodes some of the most challenging open problems in mathematics and computer science. In particular, we show that there is no easy general criterion to determine the feasibility, and in fact, the problem is NP hard. In addition, we find obtaining the most efficient algorithm for matrix multiplication to be precisely equivalent to determining the maximum rate to convert the Greenberger-Horne-Zeilinger state to a triangular distribution of three EPR states. Our results are based on connections between multipartite entanglement and tensor rank (also called Schmidt rank), a key concept in algebraic complexity theory.
This paper presents a concept of a smart working environment designed to allow true joint-actions of humans and industrial robots. The proposed system perceives its environment with multiple sensor modalities and acts...
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This paper presents a concept of a smart working environment designed to allow true joint-actions of humans and industrial robots. The proposed system perceives its environment with multiple sensor modalities and acts in it with an industrial robot manipulator to assemble capital goods together with a human worker. In combination with the reactive behavior of the robot, safe collaboration between the human and the robot is possible. Furthermore, the system anticipates human behavior, based on knowledge databases and decision processes, ensuring an effective collaboration between the human and robot. As a proof of concept, we introduce a use case where an arm is assembled and mounted on a robotpsilas body.
Distribution Static Compensator (DSTATCOM) is a shunt compensation device which is generally used to solve power quality problems in distribution systems. In an all-electric ship power system, these power quality prob...
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Distribution Static Compensator (DSTATCOM) is a shunt compensation device which is generally used to solve power quality problems in distribution systems. In an all-electric ship power system, these power quality problems mainly arise due to the pulsed loads, which causes the degradation of the entire system performance. This paper presents the application of DSTATCOM to improve the power quality in a ship power system during and after pulsed loads. The control strategy of the DSTATCOM plays an important role in maintaining the voltage at the point of common coupling. A novel adaptive control strategy for the DSTATCOM based on artificial immune system (AIS) is proposed. The optimal parameters of the controller are first found using particle swarm optimization. This provides a sort of innate immunity to common system disturbances. For unusual system disturbances, these optimal parameters are modified online, thus providing adaptive immunity in the control system. To evaluate the performance of the DSTATCOM and the AIS adaptive controller, a ship power system is developed in the MATLAB/SIMULINK environment. The effectiveness of the DSTATCOM and the AIS controller is examined for pulsed loads of different magnitudes and durations.
Polar Scan Matching is one of the methods of point to point scan matching for Simultaneous Localization and Mapping Application. It works in the original laser polar coordinate system and therefore eliminates the need...
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ISBN:
(纸本)9780958758390
Polar Scan Matching is one of the methods of point to point scan matching for Simultaneous Localization and Mapping Application. It works in the original laser polar coordinate system and therefore eliminates the need for an expensive correspondence search as in other scan matching methods by using the matching bearing association rule. However, most of the low-cost laser range finders available on the market have limited field of view and therefore the use of more than one laser range finder is necessary to cover 360 degree field of view and hence to provide a better Scan-Matching SLAM performance. This paper presents extensions of Polar Scan Matching to allow for matching with multiple laser scans simultaneously. Also a method for updating reference scans while mapping the environment is introduced. This paper also illustrates the advantages of using multiple laser range finders for SLAM. The results are illustrated with results from SLAM with a mobile robot equipped with two laser rangefinders.
This paper presents a mobile robot capable of repeating a manually trained route and detects any visual anomalies that were not present during the training run. A monocular panoramic vision sensor is used for both rep...
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ISBN:
(纸本)9780958758390
This paper presents a mobile robot capable of repeating a manually trained route and detects any visual anomalies that were not present during the training run. A monocular panoramic vision sensor is used for both repeating the route and anomaly detection. Anomalies are detect by extracting the differences between images captured during autonomous runs and reference images captured during training runs. This enables detection of both mobile anomalies, such as an intruder, and stationary anomalies, eg. a suspicious suitcase. However, routes are not repeated exactly and small deviations from the reference route leads to differences in image appearance. Two stereo correspondence algorithms are used to mitigate this problem and a performance comparison using manually segmented ground truth is performed in this paper. Anomalous regions are subsequently tracked using a particle filter. Experiments in three different environments are presented, a cluttered roboticslaboratory, a corridor, and an office environment.
Route following is defined as the ability to repeat the same route after having traversed it once under the control of a human operator. This paper presents a fast and robust appearance based route following algorithm...
ISBN:
(纸本)9780958758390
Route following is defined as the ability to repeat the same route after having traversed it once under the control of a human operator. This paper presents a fast and robust appearance based route following algorithm that utilises only monocular panoramic vision and odometry in large scale outdoor environments. Extensive experimental results have shown robustness against lighting variations and occlusion not yet demonstrated in the literature. The cumulative distance traveled by the robot in these experiments exceeds 20km and the longest repeated route is 732 meters.
In many robotic applications it is required to manipulate a specific rigid object whose CAD model is known a priori, but its position and orientation in space are unknown. This category of tasks includes piercing, pai...
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