Applied Mechanics and Materials Vol. 733

Abstract: According to the several problems existing in the supply logistics of the traditional automotive manufacturing logistics, the optimization solution to the supply logistics based on the RFID technology of internet of things has been proposed. The influence of the indication of the traditional supply logistics on the whole automotive manufacturing logistics was described in details. In terms of the core element, the business logic thinking and implement method of the RFID technology, applied in each connection relationship of the supply logistics, the optimization of the supply logistics structure was then achieved and the procedure of the optimized supply logistics was plot, which has also been analyzed specifically to indicate the direction for future study.

Abstract: This paper designs and implements virtual Temperature and humidity sensor system on the basis of research on sophisticated structure of meteorological observation instrument and the development tool called Blender, an open source simulation platform. The designing ideas of the virtual system mentioned above have been described in details. Also, we have deeply analyzed and illustrated several Blender's key technical points applied in the system, including development workflow, 3D modeling, data management, human-system interaction, etc. The system adopts two main operation modes: auto-run assembly demo mode and manual assembly simulation mode, which can help users to improve their operation skills and reduce problems exposed in traditional training methods.

Abstract: In order to reduce the power consumption of handset GNSS receivers, we present a novel algorithm that tracks signals at fixed positions of the navigation message in an intermittent mode. The tracking channels only run during the beginning part of the message frame. In the rest they remain in idle state, to reduce power consumption of the channel. The beginning position of each message frame can be estimated accurately, and the beginning messages are constant or can be estimated, thus the coherent integration time can exceed one navigation bit, which can improve the Doppler frequency estimated accuracy. At the fixed position of the frame, the tracking channel only tracks the pseudo-code phase, and does not track the carrier frequency and phase. This algorithm can keep stable tracking for weak signals with 28 dBHz carrier-to-noise ratio (C/N0), while using only 2% of the power required by the computation associated with the traditional tracking.

Abstract: A set of lattice points S is called a titanic set if there exists a line passing through exactly two points in S. In this paper, we calculate the number of titanic sets S who’s every point (x, y) satisfies. The key to calculation is an algorithm for which memorandum method is used to compute (see formula in paper)

Abstract: The suffix tree is a useful data structure constructed for indexing strings. However, when it comes to large datasets of discrete contents, most existing algorithms become very inefficient. Discrete datasets are need to be indexed in many fields like record analysis, data analyze in sensor network, association analysis etc. This paper presents an algorithm, STD, which stands for Suffix Tree for Discrete contents, that performs very efficiently with discrete input datasets. It imports several wonderful intermediate data structures for discrete strings; we also take care of the situation that the discrete input strings have similar characteristics. Moreover, STD keeps the advantages of existing implementations which are for successive input strings. Experiments were taken to evaluate the performance and shown that the method works well.

Abstract: Modern engineering optimization design technology often employs model building, analysis and computational optimization, which is computational expense and highly time cost, thus we need to employ approximation techniques to simplify the prototype model. We herein studied a Kriging Surrogate Model-based approximation technique, and employed it for predictive design. We firstly investigated the fit type: Anisotropic fit and Isotropic fit. And we compared two correlation functions: Gaussian and Marten Cubic. We also studied the effect of sample points on approximation accuracy. Then we built a Kriging model and used R-squared for our error analysis to test our model. The computational results from expensive benchmark functions in different dimension of CEC 2014 tested our predictive methods.

Abstract: Modern CAE technology is widely used in modern automobile design, engine design and so on. But its computational expense and highly time cost reduce the efficiency of design. The paper studied a respond surface model-based technique for predictive design. Firstly, we study and compare the four kinds of polynomial orders of RSM technique. Then we use Latin Hypercube technique choose enough sample points for approximation. At last, we employed cross-validation error analysis for error analysis. The results of expensive benchmark functions of CEC 2014 tested our predictive methods.

Abstract: In the engineering design process, approximation Technique could guarantee the fitting precision, speed up the design process and reduce design costs. To a certain extent, surrogate models could replace time-consuming and highly accurate computational fluid dynamics analysis gradually. In this paper, we take Optimal Latin Hypercube Sampling experimental design strategies to determine the sample space and error analysis test sample, adopt the principle of infilling criteria based on the maximum error to improve the accuracy of the surrogate model, test the unimodal and multimodal expensive functions of 10 dimension, 20 dimensions and 30 dimensions, study the performance and scope of EBF-NN surrogate model based on infilling criteria by comparing the RBF-NN surrogate model.

Abstract: Modern automobile design technology often employed finite element analysis and computational fluid dynamics, which are computational expense and highly time cost and need to employ approximation techniques. We herein study a Chebyshev Polynomial Model-based approximation technique, and employ it for predictive design. Firstly, we investigated the multi-valuable function prediction on the model precision. We also employed cross-validation as error analysis method. The computational results from expensive optimization of CEC 2014 tested our predictive methods. The experimental results showed that the proposed method is suitable for solving the low dimensional function prediction problems.

Abstract: Because of 3D model in continuous quality can be expressed by a lot of voxels with same size and small enough dimensions, a detection method of inertial parameters based on principal direction of voxel model is proposed. The method first searches three-spindle for voxel model by employing famous principal component analysis (PCA) method and establishes a new coordinates system by three-spindle above. Next, inertial parameters curve of the model can be obtained by calculating principal moment of inertia before translating the origin of the new coordinate system to the minimum point of the model and center of mass after that. The curve gives a geometric descriptor of the mode. Storing and matching the descriptor, the method calculates similarity between query model and database model, and then displays consequence according to the similarity from good to bad. Experiences show that the inertial parameters can be used as a kind of feature descriptor on the equal volume model and can be calculated easily.