Applied Mechanics and Materials Vols. 278-280

Abstract: A new reversible watermarking algorithm for image authentication, which embeds authentication information into the sub-band coefficients after lifting wavelet transform by using the difference expansion method, is proposed in this paper. Block map, after quad-tree decomposition, is used to represent the whole characteristic of image content and embed it into the original image as watermark information. Experiments results show that the proposed scheme can restore the image reversibly and has good ability to detect and locate vicious tamper.

Abstract: The traditional total variational (TV) model performs well for most noise image. However, the method will lose some information and details for the image which has rich texture and tiny boundary. Therefore, according to the requirements of the OCT pearl image, a novel denoising approach based on the TV model is proposed in this paper. This method combined the adaptive image denoising model and the novel fidelity term. Numerical experiments show that the proposed method can remove the noise while preserving significant image details. At pearl OCT image the method achieves at least 0.1dB gain over other existing denoising methods for Signal-Noise Ratio (SNR) measurement and Peak Signal-Noise Ratio (PSNR) measurement.

Abstract: A method based on quantum genetic algorithm (QGA) is presented to train and implement morphological neural network (MNN) in this paper. The algorithm adjusts the weights and biases of MNN and the QGA automatically determines the learning rate of the algorithm. Then the trained MNN is applied to image restoration. The image restoration simulation and a comparison with the median filter are shown in the end. We can see that the MNN is a quite good method applied to image restoration.

Abstract: In this paper, a digital image encryption scheme is investigated based on n dimensional (n-D) generalized hyper-chaotic cat map. Firstly, the transformation matrix in n-D map is constructed by using n(n-1)/2 transformation sub-matrix multiplication. Secondly, a novel approach is proposed that the possible sorting numbers of transformation sub-matrix multiplication are used as encrypted keys, which is applied to image encryption. It is the first time in the literature to report the image encryption scheme based on high dimensional hyper-chaotic cat map. Both theoretical analysis and numerical experiment results have confirmed the feasibility of the proposed method.

Abstract: Aimed at the temperature and humidity nonlinear variation and coupling phenomena in tobacco bulk curing, an artificial intelligence based controller is proposed. The controller using a microcomputer and fuzzy decoupling control technique can meet the requirements of temperature and humidity variation, the coupling phenomena is prevented, thereby improved the quality of fluecured tobacco. The controller has built-in several specialist technology curves suitable for different characteristics tobacco leaves. The composition of the controller, principle of the intelligent control and the fuzzy controller design are presented in this paper. The control method can be applied to other temperature and humidity control field when it is changed in some sort, has popularization and application value.

Abstract: A generalized minimum variance controller is developed for linear time-varying systems for servo applications. The plants to be controlled is described using a SISO CARMA model and the control objective is to minimize a generalized minimum variance performance index, where the output tracking error variance is penalized by squared incremental of plant input in order to reduce fluctuation in plant input and attenuate process disturbances.

Abstract: Various applications of brushless DC motors (BLDCM) can be found in the industrial environment. However, almost all controllers designed for BLDCM are based on reduced models where a first order dynamics is regarded as the internal model. This way a second order dynamics is considered with considerable simplification in the controller design. Since the reduced model may not reflect the entire dynamics of the motor, some deterioration in the control outcome can be observed. To improve the performance, this paper considers the adaptive control of a BLDCM without using reduced model. Some unknown time-varying payloads are applied to ensure its effectiveness in practical applications. Rigorous mathematics proof of closed loop stability is provided together with the boundedness of the internal parameters. Simulation cases are given to show efficacy of the proposed scheme.

Abstract: In this paper, we study the leader-following adaptive consensus problem for multi-agent systems with unknown nonlinear dynamics. The topologies of the networks are switching. A novel adaptive consensus algorithm is proposed by using linear parameterizations of unknown nonlinear dynamics of all agents. By stability analysis and parameter convergence analysis of the proposed algorithm, adaptive consensus can be realized based on neighboring graphs. The stability analysis is based on algebraic graph theory and Lyapunov theory, the PE condition plays a key role in parameter convergence analysis. Example is given to validate the theoretical results.

Abstract: This paper designs a PLC automatic control system in stone cutting. The author elaborated the stone cutting process, the system hardware/software design and the human-machine interface design process. This system is the collection of PLC, sensing detection, frequency converter, configuration control technology and advanced stone cutting process in an organic whole. The author designed optional automatic/manual function and parameters setting screen. The author added limit current protection and position protection, and designed function of automatic detecting cooling water shortage to protect the saw blade from damage. Also the designed equipment can automatic light and bell for alarm. Operation results show that, this system can meet the designed requirement, and can remarkably improve the quality of stone processing. This designed control system has high machining accuracy, high intelligence, full automation, perfect protection, friendly man-machine interface and simple operation.

Abstract: In this paper, we study the chaos control in the fractional-order Lorenz system with random parameter. Firstly, according to orthogonal polynomial approximation principle of the Functional analysis, the fractional-order Lorenz system with random parameter is reduced to its equivalent deterministic one. Secondly, chaos control equivalent deterministic system research using the linear feedback method. Finally, though numerical results show the effective and feasible of this method.