Applied Mechanics and Materials Vols. 347-350

Abstract: Volume rendering is one of the focuses in the research and application of computing visualization. On basis of the spatial data volume formally defined,principles and methods are introduced on the division of volume data, computation of resampling and composition of image in the ray casting algorithm. By resampling and compositing with shader, the algorithm is successfully improved in performance by GPU. The application of the algorithm in seismic interpretation is implemented for visualization of spatial seismic data in gray and pseudo-color and a transfer function is designed to highlight the characteristics of stratums in seismic data field, overcoming limitations in the visualization of profiles, slices and surface rendering of seismic data.

Abstract: Building energy simulation program plays an important role in reducing energy consumption for heating in North China. For the past 60 years, a wide range of building energy simulation programs have been developed. However, in China, building energy simulation programs are not popularized smoothly because of the problems such as unfriendly interface, complex usage and excessively specialized. This paper presents a new building energy simulation program with B/S structure. As a collection of building energy simulation and economic analysis, this program can be accepted by the professionals and non-professionals due to its accuracy and easy operation.

Abstract: Automatic subjective question of marking is a key technology in the network test system. In order to solve this problem, this paper analyzes the grading teachers thinking reviewers subjective questions. Then introduce the concept of a one-way approach degree based on the nearness theory of fuzzy mathematics. Finally design a subjective question automatic scoring algorithm and give a specific algorithm achievement. It provide certain reference value of automatic scoring of subjective questions.

Abstract: Compared with bistatic RCS, the monostatic RCS calculation is more difficult for the needs of surface current on scatterer induced by the incident wave of every single angle, so the calculation burthen is very large. Based on the character of impedance matrix of MOM is invariable whether the angle of incident wave was changed, this paper proposes a fast algorithm for monostatic RCS based on LU decomposition. Numerical results show out that this algorithm can compress the computation burthen of monostatic RCS significantly, and this algorithm is easy to operate.

Abstract: For multi-constraint nonlinear optimization, this paper puts forward a complex blind deflation algorithm based particle swarm optimization with survival of the fittest mechanism (CBD-PSOSFM) which has faster convergence speed, and then gives a quantificational formula of the improved convergence speed, discusses implement method and the rule of parameters design; Because of the blind source separation (BSS) optimization characteristic in nature, the algorithm can be used to implement semi-BSS with nonlinear multi-constraint. For active object echo detection, the paper sets up fitness function with the multi-constraint like as kurtosis, energy and outline and forms the complex blind deflation algorithm. Finally, the simulation experiment of blind deflation to complex echo validates the algorithms validity and faster convergence capability.

Abstract: The traditional semantic network retrieval has the following two urgent problems to be solved . The first problem is that the two concepts on the surface look very relevant, but vocabulary used to describe the two concepts has no contact, and in fact ,the two concepts are very poorly correlated. The second problem is that the two concepts on the surface do not seem related, but many words used to describe the two concepts have the same or related aspects, and the two concepts actually have great correlation. We call the two kinds of phenomena misjudge of the relationship between the two concepts. The retrieval mechanism studied in this paper aims to synthesize direct relations and internal relations between concepts, and to establish a higher intelligent double semantic network retrieval of concept network and sememe network.

Abstract: Delta compression techniques are commonly used in the context of version control systems and the World Wide Web. They are used to compactly encode the differences between two files or strings in order to reduce communication or storage costs. In this paper, we study the use of delta compression in compressing massive web pages according to the similarity of their templates. We propose a framework for template-based delta compression which uses template-based clustering techniques to find the web pages that have similar templates and then encode their differences with delta compression techniques to reduce the storage cost. We also propose a filter-based optimization of Diff algorithm to improve the efficiency of the delta compression approach. To demonstrate the efficiency of our approach, we present experimental results on massive web pages. Our experiments show that template-based delta compression achieves significant improvements in compression ratio as compared to individually compressing each web page.

Abstract: Through analyzing the problems in the assessment of computer programming courses, a stage assessment scheme based on experiments is presented in the paper. Experimental arrangement is consistent with theoretical progress, and experiment subjects are established according to theory course units in this scheme. At the same time, the result of the experiment is used to verify the study of the course. The proposed scheme improved the reliability and effectiveness of examination and assessment. Teaching effect is better than before and the professional quality of students is improved.

Abstract: MANET(mobile ad-hoc network) is an independent NET AS SYSTEM, which has much difference with wired network. It does not depend on fixed main network ( but can be cooperated with main network). This article puts forward a kind of ASN structure during the design of MANET Tourism Network. So it solves the inadaptability between the net segmentation and combination in the MANET from wired ASN. It proves this MBGP can guarantee net MANET QQS in a simulated way.MANET is a kind of communication net with no central structure, which is contrary to the traditional wireless network with base station. It is also called self-organized net. The difference between MANET and wired autonomous network is that MANET gateway BGP agreement is very different from BGP agreement of wired autonomous network.

Abstract: A model of emotional interaction agents in intelligent tutoring systems is presented in this paper, and the functionalities of the key components of the agents are described. To improve the emotional interaction between learners and the system, a kind of emotional interaction agents which can deduce users emotional statues, provide helps needed, and mark emotional difficulty of the learned pedagogical units, is introduced and discussed in detail in order to improve pedagogical effects.