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To improve the performance of quantum-inspired evolutionary algorithms (QIEAs), a new kind of QIEAs——elite group guided QIEA (EQIEA) are proposed through introducing an elite group guidance updating approach to solve knapsack problems. In EQIEA, the elite group at each iteration is composed of a certain number of individuals with better fitness values in the current population; all the individuals in the elite group cooperate together to affect quantum-inspired gates to produce off spring. Knapsack problems, a class of well-known NP-complete combinatorial optimization problems, are used to conduct experiments. The choices of parameters in EQIEA are discussed in an empirical way. Extensive experiments show that the EQIEA outperform six variants of QIEAs recently reported in the literature in terms of the quality of solutions. This paper also analyzes the convergence of EQIEA and the six variants of QIEAs. Experimental results show that EQIEA has better convergence than the six variants of QIEAs.

Based on mathematical models and output characteristics of photovoltaic cells, the simulation model for engineering application is established. By the model, the output characteristics of photovoltaic cells with different environmental factors can be analyzed. In MATLAB/SIMULINK environment, the model of the PV maximum power point tracking control is constructed. The simulation results demonstrate that PV can run at the maximum power point with the change of environment factors.

NoC is a expand for SoC.The architecture of NoC is huge and complex,it leads to the crosstalk fault between internal transmission of NoC increasingly serious. Crosstalk serious impact on the signal integrity of on-chip system.A new test codes generator was designed by PSpice simulation software based on improved HT model. The generator was composed of a 16-bit counter and a 16-bit data selector.The generator was tested by PSpice software,the result showed that it satisfied the test requirements and had the advantage of portable. A crossstalk test method was proposed in this paper,we used this method on a test circuit,the result showed that the method could reduce the number of tests and save resource effectively.

This paper presents a capacitive humidity sensor in CMOS technology. The humidity sensor element is implemented in standard CMOS technology without any further post-processing, which results in low fabrication cost. The sensor interface is based on a delta-sigma converter and can be easily reconfigured to compensate for process variation of the sensing element. The proposed humidity sensor is fabricated in 0.16μm standard CMOS process and the chip occupies 0.25mm2. The measurement result shows that this humidity sensor acquires a resolution of 0.1%RH in the range of 20%RH to 90%RH. The interface achieves a 12.5-bits capacitance-to-digital conversion and consumes only 9.6μW power at 1.2V supply voltage.

In this paper, to alleviate the influence of the noise the inaccurate measurement in the complicated environment, based on the robust ability in multivariate linear regression of PLS, and in combination with nonlinear data dimension reduction of manifold learning, a novel kernel matrix Isomap algorithm is proposed. The contribution rate is used to find and delete the “short circuit” edge. The matrix constructed by double centered transformation and kernel transformation trick is mapped to a high dimensional feature space, finally the relative position is obtained by PLS. Compared with traditional Isomap and MDS, simulation results indicate that the algorithm has good topology stability, generalization property, robustness and lower computational complexity

A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine. The parameters of the correcting nonlinear model, such as penalty factor and kernel parameter, were optimized by chaos genetic algorithm. And the nonlinear correction of photoelectric displacement sensor based on least square support vector machine was applied. The application results reveal that error of photoelectric displacement sensor is less than 1.5%, which is rather satisfactory for nonlinear correction of photoelectric displacement sensor.

User-defined functional watermarking algorithm was presented based on contourlet transform field and Ellipse Curve Cryptography（ECC） spatial field. First the edge and direction information of image was obtained by contourlet transform, the discrete functional watermarking was embedded into high frequency parts, and the embedding data was avoided to the image edge. ECC encrypts embedding coordinate’s series. Watermarking changes little original image because of less function data, and attends to zero watermarking algorithms. The results show that the algorithm is invisible to watermarking and also has enough robustness to noise and cropping attack.

An analog circuits fault diagnosis method based on chaotic fuzzy neural network (CFNN) is presented. The method uses the advantage of the global movement characteristic inherent in chaos to overcome the shortcomings that BPNN is usually trapped to a local optimum and it has a low speed of convergence weights. The chaotic mapping was added into BPNN algorithm, and the initial value of the network was selected. The algorithm can effectively and reliably be used in analog circuit fault diagnosis by comparing the two methods and analyzing the results of the example.

A fuzzy neural network based on-line turn fault detection approach for induction motors is proposed in this paper. B-spline membership fuzzy neural network is employed to detect turn fault and a genetic algorithm with an efficient search strategy is developed to optimize network parameters. Based on it, Experiments are carried out on a special rewound laboratory induction motor, the results show fuzzy neural network based diagnosis model determines the shorted turns exactly, and is more effective than the parameters estimation method under the condition of detecting a slowly developing turn fault.