Advanced Materials Research Vols. 557-559

Abstract: Technology and multimedia tools are constantly evolving and providing instructional designers new ways to present instruction. While the evolution of technology is full of instructional design potential, more research is needed to understand the cognitive processes when learning with different combinations of multimedia. The paper intends to interpret the application of multimedia technology in teaching basketball skills.

Abstract: Cultivating a sense of community in education has become increasingly popular. The purpose of this study was to analysis the three-dimensional virtual learning community. States of students in virtual community discourse were discussed from the technical view, than the paper sought to explore how media affected relationship between students.

Abstract: State estimation is an important topic in controller design. H_∞ filtering problem is discussed for fuzzy dynamical systems with time delays by using Takagi-Sugeno (T-S) model. Fuzzy H_∞ filter is obtained such that the filtering error system is stable and guarantees a prescribed estimation error level. Delay-dependent Lyapunov functional approach is employed to lower the conservativeness of the filter design. Therefore, the results of fuzzy H_∞ filter are delay-dependent. An example is given to illustrate the proposed results.

Abstract: The processing of copper alloy tube is a typical processing technology with kinds of varieties, specifications and procedures. Its technology design is not only very alternative, but also has the development trend of integration, intelligence and automation. Research is based on the drawing technology after the cast & roll procedure of copper alloy tube. The expert database system of tube process was developed with the methods of knowledge reasoning, orthogonal experiment design, artificial neural network, genetic algorithm, numerical simulation, CAD parameter optimization and database integration. Thus, the intelligent design of floating plug drawing procedure was accomplished.

Abstract: In the network communication, communication systems require multiple tasks simultaneously and independently, and each task needs constantly performing before termination in normal. In order to meet the demand, put forward the multi-channel thread method in communication process. Based on TCP / IP protocol socket network communication, in order to make the server effectively distinguish between multiple client task and accurate transmission of information, using multi thread method processing communication details, ensure the separate and concurrent of communication between each node and server. Deep understanding and flexible use of thread method to the communication process is the key to network communication.

Abstract: Abstract: For the control problem of nonlinear discrete systems, this paper describes the status of current research and analyzes the advantages and disadvantages of open-loop and closed-loop iterative learning controller. A class of nonlinear discrete systems will be extended to the general nonlinear discrete systems. To the general nonlinear discrete systems, a open-closed-loop PD-type iterative learning controller which based on current and last output error instead of last output error only is proposed. It makes use of information on system operation more fully and accurately. Besides, based on norm of λ and mathematical induction, its sufficient condition for convergence is given. In order to test its robustness, a simulation is done in the case of a persistent interference. Simulation results show that it is efficient.

Abstract: Abstract. Modern production facilities are large and highly complex, and they operate with numerous variables under closed loop control. In the production of green uranium pellets, pellet quality control involves many variables. Therefore, the classification of the quality of pellets is important for improving the efficiency of the production process. Classification of pellet quality using the conventional graphical method has some drawbacks; for example, the scale of the graph affects the accuracy and ease of use. In this paper, intelligent techniques are used to classify the quality of the pressurized water reactors(PWRs) green pellets into three categories according to the guidelines in the quality control manual of the experimental fuel elements laboratory of BATAN. Four features are used for classification, namely, height, volume, weight, density and theoretical density of the pellets. A dataset (150 observations) was collected from one lot of compacted UO₂ pellets and was used for training and testing of an ANFIS model. Up to 86.27% of the data can be classified correctly using the ANFIS model. Such performance is comparable to that of artificial neural networks. Thus, this model can be applied effectively for the evaluation and classification of pellet quality.

Abstract: Abstract: In order to solve the problem of slow convergence, an iterative learning control algorithm based on vector plots analysis is proposed. By introducing the geometric principle, that angle and side length of corresponding relationship in the same triangle, and transforming output’s error relationship into the relationship of the angel, the P-type is rewarded or penalized. The new algorithm with angle-correction speeds up significantly the convergence process. For illustration, a numerical simulation is utilized to show its efficiency and superiority. Empirical results show that the new algorithm is faster than P-type to make the system convergence .The method modifying P-type by angle is entirely feasible. The system’s output converges to the desired trajectory. The new algorithm can effectively solve the slow convergence problem. Introduction

Abstract: In this paper, it discussed the fuzzy multi-attribute decision making problems that are the attribute weights are known and the attribute values are intuitionistic fuzzy grey sets. Intuitionistic fuzzy grey set is given, and the positive and negative ideal points are introduced, then the definition of Hamming distance formula between the intuitionistic fuzzy grey numbers is discussed. Moreover, it puts forward multi-attribute decision making method based on intuitionistic fuzzy grey set, and discusses the steps of the method. Then, the examples are given to show that the method is reasonable and effective.

Abstract: Modern technologies are increasingly facilitating real-time monitoring of urban bridges and transportation networks. The advances in multi-channel fiber optical sensing system for instance, enable practical deployments for large extended bridge structural systems. Sensor data, can be used for long-term condition assessment, traffic-load regulation, emergency response, and seismic safety applications. In this paper, A flexible and scalable urban bridge Cluster Health Monitoring system is being developed and implemented. A typical concrete tied arch bridge was selected to introduce the computer-based automated signal analysis algorithms to process the monitoring data and one-year measurement data obtained from the fiber optical strain and temperature sensors are used for this study. The correlation analysis technique is applied to quantify the effect of temperature on the strain responses. The results show that the linear regression model exhibits good capabilities for mapping the strain responses with temperature.