Applied Mechanics and Materials Vols. 121-126

Abstract: Logistics service quality, as the core of logistics management, how to define and evaluate it accurately and rationally is important for logistics enterprises to establish and enhance the competitive advantage. This dissertation has an eye to large matters, but starts working on small ones. We choose express delivery as the breakthrough points, target university students as the object of study, and revolve around the satisfaction of customers and their perception of the reliability, responsiveness, assurance, empathy and tangibles of logistics service they receive. In the light of the international theoretical findings, we create a comprehensive evaluation system of logistics service quality of a definite segment market. In the empirical analysis, the questionnaire is designed using Likert scale theory, and then we made a comprehensive evaluation in terms of the collected data based on fuzzy comprehensive evaluation. Eventually, as against the result of the empirical analysis, we present several concrete proposals for improvement.

Abstract: One of the main R & D work in nuclear engineering is the development of computer programs related to nuclear power plant (NPP) safety analysis. The advanced thermal hydraulic code named TRACE for NPP safety analysis is developing by U.S. NRC now. Lungmen NPP is the first ABWR NPP in Taiwan and still under construction. The safety analysis of NPP is very important work. In general, the description and results of the safety analysis for the transients are in the Final Safety Analysis Report (FSAR) of NPP. In this research, the development of the Lungmen NPP TRACE model for the safety analysis is performed. The transient analysis prediction of the TRACE model for Lungmen NPP is also performed. The loss of feedwater flow (LOFW) transient data and MSIV (Main Steamline Isolation Valve) closure direct scram transient data from FSAR are used to compare with the predicted results of the Lungmen NPP TRACE model. The compared results indicate that there are the similar trends of parameters between the TRACE model of Lungmen NPP and FSAR for the analysis of the LOFW transient and MSIV closure direct scram (MSIVCD) transient.

Abstract: For meeting the requirements of formulating a reasonable surgical planning by using PC before the orthopedic surgery, and for solving the problem that MIMICS cannot solve and post process biological tissue models, we present a new virtual orthopedic surgery system which can accurately predict the healing effects after analyzing the mechanical characteristics of biological tissue by combining finite element method with FEA software. According to the different operation plans formulate by orthopedic doctors, the different surgical results will be revealed from the virtual orthopedic surgery system by which the problem of choosing the best surgical procedure is solved and the functions of MIMICS is optimized. This paper introduces the overall structure, application platform, operating principle and major function modules of the virtual orthopedic surgery system, and then proves the practical applicability and reliability by an experiment.

Abstract: An on-line Least Square Support Vector Regression (LS-SVR) algorithm is given in this paper. Based on this algorithm the method of on-line fault prediction by temporal pattern estimation is proposed. The method needs neither the model to approximate the true system nor the fault training data and primary knowledge. It can study and predict while system’s running, and it is believed with fast speed, fewer amounts of calculation and better real-time capability. The result of simulation on CSTR proved the efficiency.

Abstract: Immune theory is applied to independent component analysis in this paper. By elaborated on blind source separation procedure, the blind source separation based on immune optimization algorithm is put forward, that is AIS-ICA algorithm. The paper carried out simulation experiments of mixing and separation for four specific signals. The experimental results show that the convergence speed and separation precision is high, and it has good stability. The new algorithm is used to gearbox vibration signals for blind source separation and fault diagnosis, fault information carried by vibration signals enhanced. Results show that the algorithm used to separate vibration signals of gearbox can greatly enhance fault information, reducing difficulty of gearbox fault diagnosis.

Abstract: Due to the limited generality of traditional fault diagnosis expert system and its low accuracy of extracting failure symptoms, a general fault monitoring and diagnosis expert system has been built. For different devices, users can build fault trees in an interactive way and then the fault trees will be saved as expert knowledge. A variety of sensors are fixed to monitor the real-time condition of the device and intelligent algorithms such as wavelet transform and neural network are used to assist the extraction of failure symptoms. On the basis of integration of multi-sensor failure symptoms, the fault diagnosis is realized through forward and backward reasoning. The simulation diagnosis experiments of NC device have shown the effectiveness of the proposed method.

Abstract: Removed due do double publication.

Abstract: This paper analyses the Min-min algorithm and its improved algorithms through the performances of load balance, time span, quality of service and economic principle. Based on the analysis of the merits of these algorithms, we propose an improved algorithm as PMTS (Priority-based maximum time-span algorithm) by integrating. In the instance of the application, we analyse and compare the performances of these algorithms, and experimental results show that, PMTS algorithm is better than other algorithms in the comprehensive performance of load-balance, time-span, quality of service and other aspects.

Abstract: LZW (Lempel Ziv Welch) algorithm is a dictionary compression algorithm with excellent performance. The algorithm, which has important advantages including strong universal ability and a dynamically formed dictionary in coding and decoding, is used extensively in lossless data compression field. This paper implements an LZW algorithm based on a tree-like data structure in C and offers two optimization schemes, including using pointer-trace and Variable-length code. The results show that these schemes extremely improve the compression efficiency with reduced compression time cost and provide an effective guarantee for real time transmission.

Abstract: Matching performance of ship engine and propeller has a significant impact on marine propulsion efficiency. In this paper, a hybrid approach combining particle swarm optimization (PSO) and genetic algorithms (GA) is developed for matching optimization of ship engine and propeller. Based on ship theory, the matching performance of ship engine and propeller is analyzed. Considering the diameter, angular speed, picth ratio and disk ratio of propeller, a mathematical model is constructed in which the open-water propeller efficiency is taken as the objective function for matching optimization of ship engine and propeller. Integrating PSO with GA is presented to solve it, in which the mutation operator of GA is introduced to the PSO for the diversity of particles. The effectiveness of the approach is illustrated by a matching optimization example of ship engine and propeller.