Applied Mechanics and Materials Vols. 347-350

Abstract: Power supply's performance is directly related to the performance of electronic devices. It puts forward higher requirements on the performance of computer switching power regulator,with widely using of high-power in family and computer overclocking technology applications. In this paper, switching power supply is modeled by using the simulink of matlab, simulations are performed to analyze the influence of source effect and loads effect on the performance of switching power regulator. Switching power regulator performance is affected both by source effect and loads effect during normal operation of computer, regulator performance under the influence of a single factor is difficult to test. For this problem, a feasible test method of switching power supply regulator performance is proposed. By building a test platform, the proposed method is verified.

Abstract: Semantic relatedness measures play important roles in many fields, such as information retrieval and Nature Language Processing. There are mainly two kinds of traditional methods to measure semantic relatedness: dictionary based and corpus based. However, with the development of information technology, web search engine is used to do this work. In this paper, we propose a method integrating page counts and web-based kernel function for measuring semantic relatedness between words. It gets a better result than using page counts and web-based kernel function alone. Experimental results show Spearman rank correlation coefficient can reach 0.63 and Correlation reach 0.724.

Abstract: The growing requirements of steel products qualities bring even tricky restrictions to the rolling process. With the fast response, reliable control and low maintenance requirements, the hydraulic automatic gauge control system has been widely applied to screw down the roller to maintain the precise rolling spaces for product quality control. Regarding to non-stopped heavy duties charged to the system, unavoidable faults and disfunctions not only influence the product quality, but also bring underlying safety issues. The hydraulic cylinder is the executing component of the roller screw down and it has the dominant percentage of hydraulic components faults. Working with unexpect loading is one of major impact factor that causes several chain-effects happened to the cylinder, as the classical diagnostic process is lack of cross-validating and time-consuming, the paper proposes the potentials of using acoustic emission to fill the dilemmas. The works include the data acquisition process to record the ultrasound acoustic signals from the hydraulic cylinder during it was loaded with 6 types of conditions, a modified image based acoustic emission approach constructed by using 8 significant waveform features was applied to generate visual effects and transform the cylinder acoustic emission signals under various loadings to a uniform format, the subtle differences among various loadings can be observed based on the pixel and intensity changes of the images. By applying the principal component analysis to project the acoustic emission image profiles onto the 3D plane, a clear trajectory can be observed with normal and overload conditions allocated upon the positive and negative sides of the axis. The result provided not only the potential of using acoustic emission for dynamic state identification of the subtle changes, but also opens up the possibility of preventive measures to the cylinder at risks in the future.

Abstract: We proposea method of RSS-base localization in WSN (Wireless Sensor Network), called Hybrid HMM, to improve the stabilityof node localization basedon RSS(Received Signal Strength).This model utilizesHMM(Hidden Markov Model) to takeinto account the time factor when receiving the RSS sequence, andconverts the action of ranging into an operationof classification.For the received RSS used for localization,our Hybrid HMMwill compare it withthe preset RSS threshold value, and put the result into one of two categories for subsequent processing: If the received value is higher than the threshold value, the distance value will be drawn from the signal propagation model. If lower, the information will be obtained from a trained HMM. Experimental results show that the Hybrid HMM method can greatly improve the localization accuracy.

Abstract: Turbulence played an important role in the evolution of the seawater energy and exchange. Multi-scale, long-term, fixed-point and continuous sampling is a new research direction in the turbulence observation. This dissertation designed high-capacity and no-vibration data storage solutions aiming at long-term, continuous turbulence observations. First a multi-scale submerged buoy observing platform is designed. Base on the turbulence observing platform, a multi-parameter data acquisition and no vibrations storage system is designed. This paper describes the hardware and software design implementation of large-capacity data storage arrays in details as well as the readability and easy operation of the transplant of FatFS. Actual test and sea trial prove the design can be achieved large-capacity data access of long-term observation of ocean turbulence base on the submerged buoy.

Abstract: Localization is the basis for navigation of mobile robots. This paper focuses on key techniques of localization for mobile robots based on vision. Firstly, the specific measures and steps of the algorithm are analyzed and researched in depth. In the study, SIFT algorithm combined with epipolar geometry constraint is used on the environment feature point detection, matching and tracking. And the method of RANSAC combined with the least squares is used to obtain accurate results of the motion estimation. Then the necessary experiments are carried out to verify the correctness and effectiveness of algorithms. The experimental results verified the accuracy of the improved algorithm.

Abstract: According to inputting different combination of conditions so as to produce different impacts, software testing designs a large number of test cases. If the implementation of an overall test, due to the limit of the combination of conditions, it is difficult to carry out. In order to generate high quality test cases as early as possible to improve the efficiency of software testing, it is designed a generation tool of the automatic software testing case on orthogonal experimental design. For the test data, the use of that tool design test cases. The practice shows that a small number of test cases are generated, the error detection ability is strong, and it greatly improves the efficiency of software testing.

Abstract: Nowadays motorcades are often used in entertainment and work in our daily life. Accordingly, it has become our major concern about ensuring the security of a motorcade, improving coordination of all the vehicles in the course of driving and increasing the efficiency of accomplishing various tasks. This paper proposes an idea about devising a motorcade monitoring system, designs a functional structure of the system, constructs a motorcade structure model according to its features and sets the distance between vehicles at different speed as well. ZigBee is selected to apply for monitoring a motorcade by applicable technical analysis. Besides, the effects of mobility of vehicle nodes upon application of ZigBee are analyzed in this paper.

Abstract: Web3D technology, with the advantages of realistic scene simulation and intelligent interaction, has been widely applied to many fields, like electronic business and medical treatment. Aiming at the problems of abstract information and poor interactivity in traditional Distributed Monitoring and Control Systems (DMCS), a method based on Web3D technology is presented. The services published by DMCS are called to deal with the request before the scene management, and then the effective messages are asynchronous transferred by the way of Ajax which can optimize the real-time scene interaction. The objects designed by JavaScript map the messages into entities in VRML/X3D scenes. Simulation analysis demonstrated the effectiveness of realistic scene simulation and high performance of intelligent interaction.

Abstract: To improve the efficiency of automated testing, reduce testing spending, This article brings out a new automation testing frameworkWTAF, and automated regression testing is the focus of the study. First of all, we choose the open source automation framework STAF for regression testing , And then utilize STAF services to link all testing process implemented during the regression testing. Using automation testing technology, WTAF can successfully solve the low efficiency problem existed in manual or semi-automation testing.