We present a possible solution for the multi-vehicle cooperative search problem that is based on the idea of surrogate optimization to adaptively identify a terrain map on-line and use it to produce decentralized cont...
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Effective training is essential for human teleoperators to deliver satisfactory performance in actual tasks. Teleoperation is naturally a very difficult task due to the absence of naked-eye vision that cripples the co...
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Effective training is essential for human teleoperators to deliver satisfactory performance in actual tasks. Teleoperation is naturally a very difficult task due to the absence of naked-eye vision that cripples the cognitive behavior of the remote operator. Camera vision somehow is not a satisfactory substitution. However, training with naked-eye vision feedback may help human teleoperators to learn how to deliver satisfactory performance when they actually interact with camera vision. This study was carried out to further investigate this hypothesis, and to quantitatively supplement it with experimental proofs. For this cause, the recently built telerobotic test-bed between KAIST (Korea) and Saga University(Japan) was reshaped to a telerobotic mini-golf system, which is the trial experiment in this study. The performance of the players with and without naked-eye training was compared and quantitatively evaluated. The effectiveness of training with naked-eye vision was verified as an essential part in training human teleoperators.
This paper focuses on genetic optimization and filtering efficiency ofa recently developed class ofWeighted Vector Directional Filters (WVDFs), which minimize the aggregated weighted angular distances between the samp...
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In this paper, we provide a new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing outliers present in microarray images while preservi...
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This paper encompasses the study of the output impedance impact of parallel-connected UPS inverters. Two novel nonlinear control strategies are proposed. The first one is based on the single-wire current-sharing schem...
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This paper encompasses the study of the output impedance impact of parallel-connected UPS inverters. Two novel nonlinear control strategies are proposed. The first one is based on the single-wire current-sharing scheme, which is well known in parallel dc-to-dc converter systems. The second one is a wireless control technique derived from the droop method. The output impedance of the inverters is investigated in both cases. Results of two parallel-connected 1-kVA UPS inverters show the feasibility of the proposed approach. Finally, the two proposed controllers are compared between them and those with the existing solutions.
The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into a...
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The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.
We solve the problem of the distribution of petroleum products through oil pipelines networks. This problem is modeled and solved using two techniques: A heuristic method, a multiobjective evolutionary algorithm and m...
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We solve the problem of the distribution of petroleum products through oil pipelines networks. This problem is modeled and solved using two techniques: A heuristic method, a multiobjective evolutionary algorithm and mathematical programming. In the multiobjective evolutionary algorithm, several objective functions are defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some are evaluated through a repairing function to avoid infeasible solutions. In the mathematical programming approach the multiobjective optimization is solved using the constraint method in mixed integer linear programming. Some constraints of the mathematical model are nonlinear, so they are linearized. The results obtained with both methods for three concrete networks are presented. They are compared with a hybrid solution, where we use the results obtained by mathematical programming as the seed of the evolutionary algorithm.
Our research group, interested in outdoor scenes, has developed a methodology to register a CAD model of a city, with images taken with video cameras installed in a car, while driving city streets. So, we can merge vi...
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In neutral point indirectly grounded systems, phase-to-ground fault is putting new demands on fault diagnosis technology. Information fusion is applied to detect the phase-to-ground fault, which integrates several sou...
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In neutral point indirectly grounded systems, phase-to-ground fault is putting new demands on fault diagnosis technology. Information fusion is applied to detect the phase-to-ground fault, which integrates several sources of information, including line current, line voltage, zero sequence current and voltage, and quintic harmonic wave component. This method is testified through the simulation of Matlab. Simulation results show that the precision and reliability of the detection has been greatly increased.
Tangible agent (TA) is a new medium that communicates the senses of sight, hearing, touch, smell, and taste of human to computer. Intelligent behavior is a key property to realize the agent because it must interact wi...
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