In this paper the problem of the HIV/AIDS spread reduction is addressed in the framework of optimal control theory. A model recently proposed has been adopted;it considers two classes of susceptible subjects, the wise...
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This paper presents practical experiences in an inverter-based microgrid installed at SEPIC research laboratory (Technical University of Catalonia, Spain). These experiences validate recent developments in the control...
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Smart meters enable improvements in electricity distribution system efficiency at some cost in customer privacy. Users with home batteries can mitigate this privacy loss by applying charging policies that mask their u...
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Quantum communication complexity studies the efficiency of information communication (that is, the minimum amount of communication required to achieve a certain task) using quantum states. One representative example i...
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This paper proposes a system, by which humanoid robots could imitate human movements to learn human behaviors. Considering the security problem during humanoid robot imitation process, a method of stability identifica...
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This paper proposes a system, by which humanoid robots could imitate human movements to learn human behaviors. Considering the security problem during humanoid robot imitation process, a method of stability identification based on improved Multi-Layer Perception (MLP) is proposed. Firstly, the positions of the human joints are collected by a Kinect. Secondly, the human joints information is transformed into robot angles information by the inverse kinematics equation. Finally, the stability of the robot is identified by the deep neural network, which has the robot angles as its input. Simulations and experimental results demonstrate that compared with the Back Propagation neural network (BPnn), RBF neural network (RBFnn), Support Vector Machine (SVM) and Extreme Learning Machine (ELM), MLP neural network has the best identification accuracy. And the filters we used can overcome the problem of speed pulse, to some extent, and achieved an ideal imitation result.
In this paper, we studied the influence of the presence of a wide river on electromagnetic fields generated by lightning strikes to a tall tower located on a high mountain, using the three-dimensional finite-differenc...
In this paper, we studied the influence of the presence of a wide river on electromagnetic fields generated by lightning strikes to a tall tower located on a high mountain, using the three-dimensional finite-difference time-domain method. In the computations, the lightning channel and the tower are represented by the transmission line model extended to include a tall strike object. Electromagnetic fields are computed at different points located in the river and above the ground. It is shown that the peak value and the electromagnetic field waveforms, computed at the considered observation points, are significantly affected by the presence of the river.
Electrocardiograms are generated by electrical signals, and therefore individual electrocardiogram signals can vary according to the measurement environment that is created by the subjects' behavioral characterist...
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ISBN:
(纸本)9781728125312
Electrocardiograms are generated by electrical signals, and therefore individual electrocardiogram signals can vary according to the measurement environment that is created by the subjects' behavioral characteristics. Generally, post-exercise electrocardiograms that are used as biometric identification data do not match pre-exercise electrocardiograms owing to temporarily occurring tachycardia, and this reduces user identification performance. Research is being conducted on normalization techniques that make the post-exercise electrocardiograms match the pre-exercise electrocardiograms, but there have been problems caused by the distortion of morphological features such as P waves, QRS complexes, and T waves. To address problem, this study looked at the measurements of electrocardiograms before and after exercise and performed linear interpolation normalization on the P and T waves of a post-exercise tachycardia electrocardiogram cycle to make it match the pre-exercise electrocardiogram cycle. This study also proposes a user recognition system based on this technique. To analyze the proposed system's performance, the lead-I electrocardiogram signals of 20 subjects were measured three times at 2- to 3-day intervals before and after exercise, and a database was constructed. The experiment results showed that the conventional algorithm's maximum recognition performance was 88.33%, and the proposed normalization method's performance was 91.67%. A combined method was found to be both excellent and similar to the proposed method, with a performance of 92.5%.
This paper presents the architecture and control of a LLC bidirectional isolated DC-DC converter with unity gain for low power application. The converter features zero voltage switching (ZVS) at light loads, which res...
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This paper presents a control strategy for Cyber-Physical System defense developed in the framework of the European Project ATENA, that concerns Critical Infrastructure (CI) protection. The aim of the controller is to...
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Microgrid control becomes more and more developed with the application of this concept on a larger scale. This paper defines the modern microgrid concept and evaluates the possible architectures and control hierarchy....
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