Advanced Materials Research Vols. 255-260

Abstract: In accordance with the limitation of the simulation research on a class of complex adaptive system, attempts to break traditional mathematical modeling framework and substitute new research methods for the latest achievements of complexity science and the interdisciplinary approach in the paper. Try to apply complex adaptive system theory to the simulation research on a class of complex adaptive system by establishing new research method and system. The computer-based model is able to observe and forecast the system behavior, and reflects combination complexity during the evolution. The research provides investors a reference for decision-making, at the same time, has a certain referential significance for the study of similar complex systems in terms of researchers.

Abstract: Churn is a great challenge for the development and deployment of Distributed Hash Table networks, but current churn treatments ignore the effect of adapting the size of routing table flexibly to handle churn. In this paper, we research the routing table self-adaptive mechanism for Kademlia. Based on quantifying the influence of K, the parameter representing the size of a k-bucket, on routing performance, a self-adaptive algorithm of K is proposed. This algorithm adapts K to the variation of churn rate which is estimated by the validity of data in routing table. Simulation results show that it can reduce the lookup latency under churn. Even if the churn rate varies remarkably, the network is flexible enough to provide fine performance.

Abstract: The Brusselator system subject to homogeneous Neumann boundary conditions is investigated. It is firstly shown that the homogeneous equilibrium solution becomes Turing unstable or diffusively unstable when parameters are chosen properly. Then the existence of Hopf bifurcation to the ODE and PDE models is obtained. Examples of numerical simulations are also shown to support and supplement the analytical results.

Abstract: An optical ammonia probe was fabricated based on Microstructured Polymer Optical Fiber (MPOFs) modified by eosin doped silica gel films.The structure of this probe was based on microstructured polymer optical fibers with microholes and these microholes could be used as the substrate of sensing materials and minor reaction pools. The sensing properties of the optical fiber sensor to gaseous ammonia were investigated at room temperature. The sensing probe showed different fluorescence intensity at 576 nm to different concentrations of trace ammonia in carrier gas of nitrogen. The response range was 20-350 ppm, with short response time within 600 ms.

Abstract: Due to the strong nonlinearity of the AC motor, it is difficult to obtain satisfied performance by the use of conventional PID control strategy. Self-adaptive control method is therefore needed to tackle with this problem. In this paper, a novel approach of fuzzy control is presented for the AC motor drives based on the PLC platform. The purpose is to enhance the speed control performance of AC motor by means of fuzzy logic. The hardware and software construction of the control system is described, and the fuzzy variables and fuzzy rules of the fuzzy controller are designed. Simulation test results show that the designed speed control system is efficient and reliable for the control of AC motor drives. Good performances such as faster dynamic response, smaller overshoot and higher accuracy compared with traditional PID controller are achieved.

Abstract: The patent applications filings (PAF) are complex to conduct due to its nonlinearity of influenced factors. A novel way about nonlinear regression modeling of PAF with the potential support vector machines (P-SVM) is presented in this study. Grey theory is a truly multidisciplinary and generic theory that deals with systems that are characterized by poor information. However, the application combining grey system theory and P-SVM for PAF prediction is rare. In this study, a grey potential support vector machines with genetic algorithms (GPSVMG) is proposed to forecast PAF. In addition, Grey system is used to add a grey layer before neural input layer and white layer after P-SVM layer. Genetic algorithms (GAs) are used to determine free parameters of P-SVM. The experiments show that the GPSVMG model is outperformed not only single grey model but also SVM with genetic algorithms (SVMG) model and potential support vector machines with genetic algorithms (PSVMG) model. So, PAF prediction based on GPSVMG is of validity and feasibility.

Abstract: A GST-driven spatially adaptive filter is developed in this paper based on the framework of non-local means (NLM) avoiding explicit motion estimation. Gradient Structure Tensor (GST) is introduced to express the underlying local image structural patterns, which drives the window function to yield adaptive scale and shape fitting for the local structure. This leads to patches with more similar gray-level and local structures being gathered for super-resolution estimation of image. Results on several test video sequences show that the proposed method is effective in providing super-resolution on general sequences and achieves improvement of performance on the compared method.

Abstract: Pyrolysis analysis of waste computer mainboard was carried out at heating rate of 10 °C /min, 20°C/min and 25 °C/min in nitrogen atmosphere. The thermogravimetric analysis result shows that the weight loses change in three steps: the curve of TG is smooth from room temperature to 300°C in the first step, which possess about 1 percent of the total weight. The weight loses abruptly increase from 300 °C to 450 °C in the second step, and the curve of TG recoveries to be smooth at the temperature of 450 °C, that is the third step. There is an evident exothermic peak and an evident endothermic peak during the pyrolysis process, the exothermic peak is due to the thermal decomposition of waste computer mainboard, the endothermic peak is related to the melting of copper. At the same time the pyrolysis process make the surface morphology and elevation morphology change. The experimental study provided valuable basis for the industrial recovery of waste computer mainboard.

Abstract: A novel detection method of laser direction and wavelength synchronal is fabricated by combining the four wedges and CMOS array camera. The unitized wedges we designed are composed of the four same wedges, and the joint is non-transparent. When the laser incident in the random direction, we calculate the distance of interference fringes in the four wedges, and deduce laser direction and wavelength. By simulation, it generates the drawings of optical path difference and the mini-distance when the minimum identification angle is 1o. In experiment, when we choose the angle of wedge is 0.01rad (≈0.57^o), the distance of interference fringes is 10μm, larger than 8μm in CMOS array camera, so the interference fringes with the 532nm laser can be detected.

Abstract: A new variable step-size numerical algorithm for implicit integration is discussed in this paper. The scheme for increase and decrease of step size is discussed according to the difference of output variable value. The next step size is calculated through the variable coefficient method and the limitation rules. The convergence and accuracy are testified by the simulation result. Compared with the common used ode45 algorithm, the algorithm has more computing efficiency with a certain calculation precision.