Applied Mechanics and Materials Vol. 421

Abstract: By using dexelization algorithms, a Brep model is transformed to the three direction DEXEL model and VOXEL model. In the VOXEL model, every VOXEL could have its attributes such as color, or transparence. The attributes of the VOXEL model could be set and the inner attributes of a 3D model could be expressed. The VOXEL model and its inner attributes setting are very important for the design of complex models with complex inner attributes. Under Java2.0 and Java 3D, these algorithms were tested and some design examples were given.

Abstract: 3D animation is an application of computer graphics. The factors that affect the efficiency of 3D animation include animation algorithms, 3D models, materials and textures, rendering, and LOD (level of detail). This thesis discusses these technologies separately. By using these technologies properly, we could reduce the complexity of algorithms and the overall data quantity and then enhance the efficiency of 3D animation.

Abstract: In 3D animation, there are several key technologies used to make the 3D characters, scene, and environments look much real and alive. The key technologies include motion capture, 3D fur and hair design, particle system, clothes design, and Billboard etc. These technologies are related with the efficiency of 3D animation. This thesis discusses these technologies separately and suggests methods to enhance the efficiency of 3D animation.

Abstract: 3D animation technologies include FFD, Hierarchies and Kinematics (FK and IK), Dynamic animation, Keyframe, Time based animation, Non-linear animation, Path animation, Layered animation, and Motion capture animation etc. They are related with the efficiency of 3D animation. This thesis discusses these technologies separately and suggests methods to enhance the efficiency of 3D animation.

Abstract: ntroduce the technologies of 3D character animation in 3dsMax and Maya. These technologies include making skeletons, producing muscles, skinning, and creating animation etc. Compare these technologies in 3dsMax and Maya. Discuss the efficiency of 3D character animation and suggests methods to enhance the efficiency of 3D animation.

Abstract: OA office system use Internet/Intranet technology, Make the enterprise internal staff convenient to share information, work together, provide scientific basis for management and decision making. For OA the problems existing in the development process, this paper research the MVC pattern of OA platform architecture. First of all, using the Apache, JSP, Oracle and other technology research by the user layer, service layer, application layer, data layer support infrastructure; Then, the research platform, including user management, role management, authorization module and menu management, etc.; Finally, research the MVC architecture, work process and component for the details. Practice shows that using the MVC pattern to build platform for the OA system, it has the development of high efficiency, clear software structure, stable performance, easy maintenance, easy to transplant, etc.

Abstract: A cognitive routing system intelligently selects one protocol at a time for specific routing conditions and environment in MANET. Cognition or self-learning can be achieved in a cognitive routing system for mobile ad-hoc network (MANET) through a learning system like learning automata or neural networks. This article covers the application of learning automata and neural network to achieve cognition in MANET routing system. Mobile Ad-hoc networks are dynamic in nature and lack any fixed infrastructure, so the implementation of cognition enhances the performance of overall routing system in these networks. In learning automata the process of learning is different from reasoning or decision making. Learning automata require little knowledge to take decisions. Neural network can be improved by increasing the number of neurons and changing parameters. Self-training enhance neural network performance and it select suitable protocol for a given network environment. Cognition in MANET is either based upon learning automata as in some wireless sensor networks or specialized cognitive neural networks like Elman network. Learning automata do not follow predetermine rules and has the ability to learn and evolve. The interaction of learning automata with the MANET environment results in the evolution of cognition system.

Abstract: There has become a bottleneck to use support vector machine (SVM) due to the problems such as slow learning speed, large buffer memory requirement, low generalization performance and so on. These problems are caused by large-scale training sample set and outlier data immixed in the other class. Aiming at these problems, this paper proposed a new reduction strategy for large-scale training sample set according to analyzing on the structure of the training sample set based on the point set theory. By using fuzzy clustering method in this new strategy, the potential support vectors are obtained and the non-boundary outlier data immixed in the other class is removed. In view of reducing greatly the scale of the training sample set, it improves the generalization performance of SVM and effectively avoids over-learning. Then the proposed method was applied to bus passenger flow counting. The experimental results show that the method reposed in this paper obtains higher classification accuracy.

Abstract: This paper introduces the basic concepts and functions of the DC panel. Then introduce the role of Modbus protocol in the DC panel. After that, the scheme concept and hardware platform of the protocol implementation are analyzed. And then this paper explains the realization of Modbus protocol in DC panel system that ported μC/OS-II based on ARM Cortex-M3. Due to DC panel system has multi-tasking and large amount of monitoring data, the concurrent problems handling multiple tasks in the μC/OS-II are analyzed and designed. Finally, the communication is implemented via DC panel battery module with DC panel system used in the program. The results show that the implementation of the protocol can achieve real-time and stable effects.

Abstract: The quantification of complexity is one of the most fundamental issues in the investigation of complex networks. In this paper, we propose multi-states entropy to quantify the complexity of a typical diffusion system, in which the interactive dynamics is characterized by a finite capacity effect. We show that the entropy strongly depend on the local topology and the finite capacity. Furthermore, based on the maximum entropy principle, we optimize the interaction of these two factors to achieve the most efficient interactive diffusion process on scale-free networks.