Applied Mechanics and Materials Vols. 63-64

Abstract: Vertexes arraying is the fundamental factor which influenced the qualities and efficiency in auto-body smoothing. Favorable vertexes arraying not only can make the surfaces satisfy styling but also improve quality and efficiency of surfaces smoothing. According to the expressing methods and matched condition of surfaces the vertexes arraying rules of auto-body surfaces are given. And the rules are validated by examples. The result verified that rational vertexes arraying can improve the quality and efficiency in auto-body surfaces smoothing.

Abstract: This paper presents a new scheme for BCD multiplication. This new scheme features a completely carry-free multiplication. The parallel structure of the new algorithm is investigated. This fast architecture was derived by looking at multiplication in a fresh perspective. A carry is able to be computed without performing multiplication on any of the previous bits. The new approach is expected to have a lot of potential contributions to digital design.

Abstract: Handheld electronic devices promote M-learning greatly. Foreign language learners favour the learning environment in handheld electronic devices. The authors explore the features of language learning in handheld electronic devices from the prospective of language input theory.The paper discusses the comprehension, nature and authenticity, abundance and varieties in language learning with handheld electronic devices.

Abstract: Rotary heat exchanger heat exchanger is produced based on the original so easy to have oxide generated sediments, it has a small, high efficiency and low cost, can be widely used in textile, printing and dyeing, food processing, leather, paper and chemical industries. The feasibility of the rotary heat exchangers is analyzed from thermodynamics.

Abstract: The sealing contact pressure is critical in determining the film thickness of elastohydrodynamic lubrication (EHL) on the seal. Contact pressure in sealing surface of non-rectangular section vane seal was obtained via FEA, and the polynomial equation of the contact pressure distribution was fitted with regression analysis. Therefore, the numerical model for the EHL film thickness can be developed and solved. Typical results of film thickness distribution and frictional force for the vane seal at room temperature were obtained. The EHL film thickness distributions follow the variation of the related contact pressure, and the sliding speed is also significant on the average film thickness and the hydrodynamic friction.

Abstract: Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles’ diversities and avoid the premature convergence effectively. Experimental results show that this method proposed by this paper has stronger optimal ability and better global searching capability than PSO.

Abstract: Fuzzy c-means clustering algorithm (FCM) is sensitive to noise and less effective when handling high dimensional data set. Given that particle swarm optimization algorithm (PSO) has strong global search capability and efficient performance, a new PSO based fuzzy clustering algorithm is proposed. Particles in the new algorithm are encoded by membership in FCM. The new algorithm adopts a new strategy to meet the constraints of FCM, so as to optimize the clustering effect of FCM. Finally, this algorithm is applied to motor fault diagnosis. Experiment shows that the new algorithm made up for the shortcomings of FCM, improved the efficiency and accuracy of clustering and bettered fault diagnosis results.

Abstract: Three R bar group as a typical mechanism of a linkage is studied. Analysis method is based on the theory of kinematics and the method of mathematics. After deriving of relevant kinematic equations, detail analysis about positions, velocities, accelerations, and angles, angular velocities, angular accelerations of bars as well as other kinematics parameters of three R bar group to be searched can be obtained in the paper. Relationships between known and unknown parameters of three R bar group have been determined according to different working states of three R bar group. The method presented in the paper provides a feasible and more efficient method for the analysis of kinematic characteristics of plane linkages.

Abstract: XML has been widely used for information exchange and storage as the de facto data representation format nowadays. Several XML query languages such XPath, XQuery and XML-QL have been proposed. Many structural join algorithms have been proposed for processing XPath queries, Although holistic twig join algorithms has been proved to be I/O optimal in terms of input and output sizes for queries with only ancestor-descendant edges, it cannot control the size of intermediate results for queries with parent-child edges. We address the problem of efficient path queries with mixed of ancestor-descendant and parent-child edges on a simple but novel index, called BI (i.e. Binary Index) based on Dewey labeling scheme. And we propose a new holistic path join algorithm, namely PSBI, which has the same performance as PathStack for query path with only ancestor-descendant edges, but it is significantly more efficient than PathStack for queries with the presence of parent-child edges. Experimental results demonstrate that the PSBI and BI index has a substantial performance improvement compared to original PathStack algorithm.

Abstract: For the difficult problems of measuring and forecasting values interfered by a number of factors, this paper proposed a method of power forecasting based on independent component analysis and least squares support vector machine, and results are modified using the regression. Each independent component from source signals is predicted using least squares support vector machine, the final prediction results obtained by modifying the preliminary predicting power according to the relationship between wind speed and its power. Using the data from a wind farm on the Northeast China wind farm, the simulation results show that this method has higher prediction accuracy, and the mean absolute error from 9.25% down to 5.48%, compared with the simple least squares support vector machine models.