Applied Mechanics and Materials Vols. 121-126

Abstract: Simulated the state of market competition by using simulation software with considering the influence of the product’s compatibility and product’s CPV, providing reasonable suggestions for manufacturers.

Abstract: The mode peaks in frequency domain of vibration signal are strongly interfered by strong noise, causing the inaccuracy mode parameters. According to this situation, this paper comes up with the thought of mode-peak segmentation based on the spectral clustering algorithm. First, according to the concept of wave packet, the amplitude-frequency of vibration signal is divided into wave packets. Taking each wave packet as a sample of clustering algorithm, the spectral clustering algorithm is used to classify these wave packets. The amplitude-frequency curve of a mode peak becomes a big wave packet in macroscopic. The experiment to simulation signals indicates that this spectral clustering algorithm could accord with the macroscopic observation of mode segmentation effectively, and has outstanding performance especially in strong noise.

Abstract: Based on the analysis of data relationship between product structure and project plan of R&D projects, this paper proposes the mapping rules of product structure nodes and project task nodes, and establishes the mapping of the relationship between components and tasks. In this paper project plan is decomposed on the basis of product structure, so the workload of task decomposition of project manager is reduced, the efficiency is improved, and the accuracy and completeness of the task is ensured.

Abstract: To solve the problem of real-time, quantification monitor on the restoration of motor function in hemiplegia after stroke, this paper proposed motor-function evaluation content for 5-DOF upper-limb rehabilitation robot based on traditional motor-function evaluation method, and then it constituted judgment matrix and calculated weights by Analytical Hierarchy Process, finally, established a synthetical evaluation model of motor function for upper-limb rehabilitation robot. This paper is the organic combination of operational research, rehabilitation medicine and robotics. Compare with traditional motor-function evaluation method, the new evaluation method is so simply and flexible that it greatly increases the reliability, validity and feasibility of evaluation, which has changed traditional evaluation methods into mathematical process. It is the new orientation in motor-function evaluation.

Abstract: This paper analyzes the formal syntax and semantics of the UML activity diagram, then extends traditional test coverage criteria, puts forward the cover standards of the UML activity diagram , finally implements the test scenes generation algorithm and test tools, and has more help to improve the software quality.

Abstract: Hot stamping is a process which simultaneously forms and quenches the hot blanks at the austenization temperature (900-1200 °C) to produce full martensitic Ultra High Strength (UHS) steel structure. Automobile manufacturers use hot stamping to produce many car frame components which can decrease the total weight of the car and increase the car safety. The aim of this paper is to simulate the thermo-mechanical process of the hot stamping which consists of FEA simulations by using Abaqus/Explicit. The process includes too steps: heating of the blank to 900°C, and simultaneous punching and quenching process to increase the tensile strength of the material. The objectives of the FEA simulation are to obtain thermo-mechanical properties of the material and to predict strength of the steel as the product of hot stamping. The results of this simulation will be the values of maximum Von Mises stress and nodal temperature of the blank, the punch reaction force, and also the prediction of the yield strength and tensile strength of the material which will be compared to the yield strength and tensile strength of the available steel alloy data.

Abstract: After Taiwan becomes the 144th member of the World Trade Organization (WTO) on 2002, it also becomes a part of the global economic system. Therefore, when the financial tsunami influenced the global economy in 2007, it was inevitable that all transactions and professions in Taiwan could hardly survive, and the securities industry, of course, bore the brunt. Based on the exchange data of a Taiwan K-broker's orders, this research conducts an empirical case study by means of Data Mining. We adopt RFM (Recency, Frequency, and Monetary) modeling index to get the data, and then group the customers by Cluster Analysis of K-means and find out the transaction behaviors of indicative customers in each group around the financial tsunami. Finally, we summarize those users behavior of the hedging operations to be the reference models Taiwan stock market during the financial tsunami.

Abstract: Information dissemination security is a crucial factor for social network interaction. In this paper, we present a trust-aware information dissemination algorithm for social network in order to make the nodes transmitting more trustable information. Firstly, we propose information trust computation from two aspects: entity trust of information and source trust. Two above aspects can be integrated into whole trust of information. Likewise, we propose the trust relationship comutation method among nodes. Further, we present a multiple paths trust computation method (MPTC) for information dissmination in social network. Then, we address the trust-aware information dissemination algorithm (TIDA) based on above trust computaiton. Finally, our experiments show that TIDA is a feasible and effective solution for social network information dissemination.

Abstract: China’s community health services starts in 1997 and becomes the most important part of the urban health services system with the development of China’s social security system and community security. Two-way referral system in China came into being with the further development of community medical services. This paper studies the construction of two-way referral management information system based on the social security system platform using information management system and UML language based on the survey of the present implementation of two-way referral system. The two-way referral management information system includes the feasible analysis, the analysis of functional requirement, the on-stream analysis of two-way referral process, the on-stream analysis of two-way referral management information system, the design of functional configuration and functional module. The paper aims to reduce the cost of two-way referral and increase the visiting rate and medical care of community health service organization.

Abstract: In machine vision application, the main part to analyze an image is to identify its features which contribute to efficiency of the system. Many applications in vision system and image analysis used face detection as a feature of their whole system development. In application such as video surveillance, fatigue detection and security system, face is a fundamental step in the analysis before proceed to system implementation. It is very challenging to recognize a face from an image due to the wide variety of face and the uncertain of face position. In this paper, we propose a neural network based approach to identify multi-angle face which falls into five categories: all left-side face, half left-side face, positive face, half right-side face, and all right-side face. More than 100 images of each category have been used for training and testing of face detection and its features was extracted to be an input to BP neural network. We analyzed the result of training and testing set of neural network and the best classification achieved was 90.7%.