Applied Mechanics and Materials Vols. 182-183

Abstract: In this paper, the global robust exponential stability is discussed for Cohen-Grossgerg neural network with parameter uncertainties and time varying delays. On the basis of the linear matrix inequalities (LMIs) technique, and Lyapunov functional method combined with the Bellman inequality and Jensen inequality technique, we have obtained the main condition to ensure the global robust exponential stability of the equilibrium point for this system. The proposed result is less restrictive, easier to check in practice. Remarks are made with other previous works to show the superiority of the obtained result, and the simulation example is used to demonstrate the effectiveness of our result.

Abstract: This paper describes the software of “dairy management information system”. The software based on JSP + Serverlet + JavaBeans model developed for medium-sized dairy farms. The software is divided into herd management, milk production management, cattle breeding, statistics and analysis, a cattle ranch management, system management functions, and dairy cows can be a variety of technical data to analyze, synthesize, organize, is a practical, economic, and user-friendly information management system for dairy farm.

Abstract: BP neural network for failure pattern recognition has been used in hydraulic system fault diagnosis.However, its convergence rate is relatively small and always trapped at the local minima. So a new modified PSO-BP hydraulic system fault diagnosis method was proposed,which combined the respective advantages of particle swarm algorithm and BP algorithm. Firstly, the inertia weight and learning factor of the standard particle swarm algorithm was improved, then BP neural network’s weights and thresholds were optimized by modified PSO algorithm. BP network performance was ameliorated. The simulation results showed that this method improved the convergence rate of the BP network, and it could reduce the diagnostic errors.

Abstract: The paper proposes a new power system stabilizer based on adaptive variable universe fuzzy systems. The algorithm creates the bridge to supply H_∞ control design with more intelligence and fuzzy control design with better robust performance. By Lyapunov method, the overall closed-loop system is shown to be stable. In this study, the effect of both fuzzy logic approximate error and external disturbance on the tracking error is attenuated to a prescribed lever ρ by adequately selecting the weight factor γ. The statement is confirmed by simulation results of a single-machine infinite-bus system and a multi-machine system.

Abstract: The pipeline Analog-to-Digital Converter is highlight for its high resolution, accuracy, speed and low power consumption. In this paper, we have completed the design and simulation of a pipeline ADC with the SIMULINK toolbox of MATLAB. The model of 1.5 bit per stage was set up, and nine stages were connected to establish the system model. The system model can work correctly at 100MHz sampling frequency and reach 10 bit resolution. The simulation results can verify the correction of the pipeline ADC theory.

Abstract: Introduced the design background, concept, function of intelligent interactive three-dimensional experimental model, and key technologies to achieve these functions on VB + OpenGL platform.

Abstract: Contour map has been known as one of the best methods to depict 3-dimensional terrains on 2-dimensional plots. With the emergence and rapid development of wireless sensor network, new approaches for contour mapping can be adopted to take the advantage of distributed nodes. In this paper, an integral contour mapping system with mobile data collection nodes is devised. Basically, the design allows each sensor node moves around a target area and extracts elevation samples in the aid of an upper reference plane. The network organization and data synthesizing algorithm are also studied. Furthermore, a low cost demonstrative platform based on 8051 microcontroller and ultrasonic transducers is implemented to prove the feasibility of the system.

Abstract: For the reason that dominant colors can characterize color information of image region and can represent the image using fewer dimensions, it is one of the widely used color features in image retrieval. We extract the dominant color feature in HSV color space, and combine it with color distribution information. In this paper, a new similarity measurement algorithm based on block distance is proposed for dominant color matching. Our proposed algorithm not only takes the distance between dominant colors into account, but also the difference of the percentage of dominant colors. The average precision of our algorithm improves about 5% and about 14% respectively compared with block distance and Euclidean distance. Although the average precision of our algorithm is almost equal to quadratic form distance, the computation cost of our algorithm is obviously less than it.

Abstract: In order to achieve the application requirements of a mobile asphalt concrete mixer, a distributed computer control system of the mixer is developed with an industrial control computer and a S7-200 PLC. Through analyzing the operation principle of mixer, main functions and specifications of the system are proposed. In this paper, the hardware constitution and the software design method of the system are introduced in detail, and the working process of the asphalt concrete mixer can be controlled automatically and intelligently in real time. Moreover, the functions of batching control, process monitoring and data management has been realized. Test results show that the asphalt concrete mixer works stably and reliability.

Abstract: Considering the discreteness and non-linearity of the component parameter and the advancement and limitations of neural network in the analogous circuit fault diagnosis and as the combination of the fuzzy logic and neural network, the fuzzy neural network’s having the merits of both, involving learning, association, recognition, adaptation and fuzzy information processing, a method with fuzzy neural network for the analogous circuit fault diagnosis is proposed. In this paper, the structure and training methods of the fuzzy neural network are presented and the specific implementation of the diagnosis system is illustrated with examples. Simulation results show that the mathematical model has a better diagnostic effect. Compared with other methods, this diagnostic method, with the broad application prospect of its structure and method, is scientific, simple, and practical and so on.