The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals includ...
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The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals including electrocardiogram (ECG), electromyogram (EMG) and 60-Hz sinusoid are linearly mixed for experimental tests. The mean-square errors (MSE) between the original sources and the separated signals are calculated for the evaluation of separation performance. These results demonstrated that the proposed block-wise approach can achieve the desired separation performance of signals in a more efficient way.
Randić et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with ti...
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Randić et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n 2 ), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species.
Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is...
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ISBN:
(纸本)9789746724913
Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.
Parallel current mode control algorithm for DC-DC converters is introduced in this paper. This control strategy is composed of two parallel terms: voltage term and current term which is calculated based on the input v...
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Parallel current mode control algorithm for DC-DC converters is introduced in this paper. This control strategy is composed of two parallel terms: voltage term and current term which is calculated based on the input voltage, inductor current and output voltage. The new duty cycle algorithm requires only one multiplication, one division and three additions in digital implementation. The simulation results demonstrate that parallel current mode control has superior steady-state response over the conventional current mode control, and maintains a good dynamic response. A 400-kHz switching frequency Buck converter based on FPGA implementation shows that the new duty cycle control strategy is optimal for digital control.
According to the current key management scheme exist large computation, trusted centre and key update cycle size is difficult to determine problems, we proposed a scheme that is based on ECC fully self-organization Ad...
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According to the current key management scheme exist large computation, trusted centre and key update cycle size is difficult to determine problems, we proposed a scheme that is based on ECC fully self-organization Ad hoc key management in this paper. The scheme use ECC instead of RSA for large computation; in order to solve trusted centre, we use fully self-organization; by using a double key update to overcome the regular updating cycle size problem. Computational cost of this program has a small computation safe, reliability and good scalability for large-scale Ad hoc network.
When the backscattering method is adopted to test the concentration and the size of soot, it's very important to analyze the backscattering characteristics of soot to determine the optimal light source, detector a...
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When the backscattering method is adopted to test the concentration and the size of soot, it's very important to analyze the backscattering characteristics of soot to determine the optimal light source, detector and detection angle. In this paper, the backscattering characteristics of nonspherical soot particles swarm are investigated. The size and shape of soot particles are determined by microscopic measurement. According to the micrograph, both Ellipsoid model and generalized Chebyshev models are selected to imitate soot particles. With the Monte-Carlo method, a random oriented particles swarm is created, and backscattering relative intensity is calculated by T-matrix method with different parameters. A simple backscattering test system was established, in which the light source and detector are selected based on the calculation results. The numerical and experimental results show that the combination of the Monte-Carlo method and the T-matrix calculation can be successfully applied to simulate the backscattering of the nonspherical particles swarm, and the experimental system has higher backscattering intensity according to simulation result. It provides a reference for improving the measurement accuracy of particles size and concentration.
Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristi...
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Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristic modeling and control approach is an effective way to solve this problem. Aimed at the flexible satellites described by using characteristic modeling approach, with the help of fuzzy rules, fuzzy dynamic characteristic modeling method and intelligent adaptive controller are designed to control this complex spacecraft. Meanwhile, based on the satellite system simulation platform, we validate the correctness and efficiency of the proposed modeling and control method by comparing with the simulation results of the other similar methods.
In recent years, dynamics model and control of space robot system are the hot topics in the research field. In this paper, a new dynamics model and control strategy of space robotic system with a flexible manipulator ...
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In recent years, dynamics model and control of space robot system are the hot topics in the research field. In this paper, a new dynamics model and control strategy of space robotic system with a flexible manipulator and a liquid fuel tank are investigated. Based on Lagrange equation method, the dynamics model of the space robotic system coupling with liquid sloshing, flexibility vibration and base movement is derived. The elastic deflection of the flexible manipulator is described by the assumed mode method and equivalent mechanical model is adopted instead of liquid sloshing under the environment of low-gravity. The inverse dynamics control algorithm combined with PD control method is performed to solve the trajectory tracking problem. Some simulation results are given to verify the effectiveness of the proposed method.
This paper aims to model and solve the Sum and Product Riddle in public announcement logic. A dynamic epistemic model is proposed, that is the linear temporal combination of the epistemic model of environment and the ...
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This paper aims to model and solve the Sum and Product Riddle in public announcement logic. A dynamic epistemic model is proposed, that is the linear temporal combination of the epistemic model of environment and the epistemic models after each announcement, such that the authors' model checking technique for temporal epistemic logic can be extended to support the modeling and verification of public announcement logic. This model checking method not only can help to find all solutions, but also verify related temporal epistemic properties. Such characteristic is not fully supported by the current version of MCK, MCMAS and DEMO. The authors implemented the proposed method in the symbolic model checker MCTK via OBDD and verified the sum and product riddle. The experimental results show that the proposed method is correct and efficient.
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