Applied Mechanics and Materials Vols. 556-562

Abstract: An improved Grey Target (GT) approach using the Evidential Reasoning (ER) algorithm, named as ER-GT, is proposed to handle the challenge when conducting the contribution analysis in the Weapon System of Systems (WSoS) context. The WSoS technology contribution analysis is a small-sample, less-data problem without a recognized pattern, which fits the characteristics of the problems that GT is designed to solve. However, the standard system in GT may not exist at all since its indices are derived from different systems and fails to be consistent with the System Military Value (SMV), which represents the contribution made of a system to WSoS. In order to make certain adjustments of the standard system, the information derived from capabilities requirements, practical restraints and/or experts’ knowledge must be taken into consideration. Since the ER algorithm has a privilege in dealing with different types of information under uncertainty, it is applied to transform the standard system into a “mission system” so as to integrate different types of information. A comparative case using both GT and ER-GT is studied to validate the efficiency of the proposed ER-GT approach. The study result shows that the defense capability is given a bigger contribution rate, which has been neglected by traditional GT.

Abstract: By using the finite element analysis method, this paper firstly conducted simulation test for phone packing boxes under ANSYS environment. As a result, the force distributiones of packing boxes under different loading conditions were calculated, the reliability of cushion packing box is obtained. Finally, structural optimization is conductedwas carried out to the location where may undertake bigger force. Then, experiments and tests were conducted to the optimized packing box. In the meantime, the theoretical simulation result and the measured result from test are compared. Repeated comparisons have been carried out to draw the final decision.

Abstract: Fabric quality detection and classification plays a very important role for the automatic detection in fabrics. Using wavelet transform, this study intends to analyze the fabric image and work out the type feature of fabric texture; and then through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the study tries to distinguish and classify the texture of fabrics, mainly of knited fabric, printed fabric, stain fabric and plain weave fabric. The approach of TOPSIS is applied in analyzing the correlation among random factor sequence of feature indexes after some data processing, and determining its texture type of the designated fabric on the basis of the highest correlative degree. Experiment findings show that the automatic recognizing system of fabric types discussed in this study is capable of recognizing four different textile images.

Abstract: According to the theory that electromagnetic waves diffract when approaching obstacles, the thesis focuses on the airport terminal area obstacles affection on the performance of Instrument Landing System (ILS). It is done through calculating of the first Fresnel zone radius and clearance and the electromagnetic environment radiation distribution of the ground station via Single-Wedge Model on the basis of combining the Instrument Landing Systemin the civil aviation airport terminal area and abstracted general theoretical model. This research can provide theoretical basis for the arrangement of navigation station and evaluation of the ILS glide slope in a practical airport environment. Therefore, the study is of magnificent importance for the safe operation of the civil aviation airport.

Abstract: Based on the fuzzy control cluster algorithm, we establish the modern charm mathematical model of traditional toys with UG software, and design the 3D reconstruction system of traditional folk toys through program. In order to verify the effectiveness of the system, we use the UG software to do 3D reconstruction simulation on the modern charm of traditional toys, and obtain the 3D key point capture graph. Through the key point we construct 3D key line of toys. From the statistics of performance, the maximum frequency of key point reconstruction is up to 8500 times /s, which has good performance. Finally, through the UG 3D reconstruction we get the modern fashion reconstruction design for traditional toy, which provides the technical reference for the study of traditional folk toys.

Abstract: For the purpose of improving scientific regulatory and effectively making use of supervision information for food safety, we have collected more than 200,000 testing data in the information system from 2009 to 2013. In this paper, with association rule, several analytical models, as exemplified by soy data, was created according to the feature of soy. Valuable information can be obtained from massive testing data, which is conducive to food safety supervisions.

Abstract: This paper provides a simple and effective parametric modeling method which will simplify the human body model to cross-sectional contours and map selected human body measuring parameters into cross-sectional contours. Deformation functions of different human parts are defined to make deformation on cross-sectional contours. Deformed model is optimized and cross-sectional contours are restructured to triangular grid in order to render the model after deformation. Operations of this method are simple and only 13 commonly-used measuring parameters are needed to obtain targeted human body model with a good sense of reality.

Abstract: The study of the characteristics of WBAN channel model is crucial, due to the fact that it is an important step to design wireless body area network (WBAN). WBAN channel models are so different from the traditional mobile channel models and there are few publications on them. In this paper, we studied the statistic characteristics of the WBAN channel based on the IEEE 802.15.6 models. We focus on body surface to body surface circumstance, simulated the path loss models on 400, 600 and 800MHz and studied the statistic characteristics of the path loss models. Finally, we used the Guass model to fit the statistic results of the path loss and obtained coefficients of Gauss model .

Abstract: With the development of the market economy, the logistics industry has been developed rapidly.It is easy to understand that good vehicle travel path planning has very important significance in the logistics company,especially in the general production enterprises. This paper mainly studies the microcosmic traffic system in the type of vehicle routing problems: capacity-constrained vehicle routing problem. We demonstrate the use of Ant Colony System (ACS) to solve the capacitated vehicle routing problem, treated as nodes in a spatial network. For the networks where the nodes are concentrated, the use of hybrid heuristic optimization can greatly improve the efficiency of the solution. The algorithm produces high-quality solutions for the capacity-constrained vehicle routing problem.

Abstract: Locating object regions is particularly important for image segmentation. Incorporating knowledge of human anatomy, such as numerical anatomical models, into image segmentation to produce more effective results. This paper presents a method of automatic gallbladder location and segmentation based on anatomical knowledge. Firstly, located liver according to the anatomic knowledge that the liver is the largest internal organ using distance transformation and then segmented liver with located outline as initial function using level set method. Secondly, located gallbladder according to the anatomic knowledge that the gallbladder is wrapped in liver using the circumscribed sphere of the liver surface and the sphere of maximum similarity with gallbladder is the location of gallbladder. Finally, segmented gallbladder with the sphere as initial function using level set method.