Applied Mechanics and Materials Vol. 442

Abstract: Based on the normal work and study practice, the author sums up some experience that need to pay attention to some problems in the Ansys finite element analysis. In structural static analysis, the principle of the stress singularity and different load are needed to apply. And in analyzing the nonlinear structure, the problems of convergence are needed to pay special attention.

Abstract: With the development of Internent, the amount of information on the Internet is huge and updated quickly, which makes public opinion monitoring face enormous challeges in dealing with huge amounts of information and complex data. In the age of cloud computing, these data hids the huge value, which includes scienfitic computing, public information and enterprise applications field and so on. For getting some valued information from these data, we need to monitor these network opinion information. However, there are some shortages in traditional Internet opinion monitoring method, such as lack of powerful ability of data collecting and analysis ability. For solving this problem, a cloud computing framework of Internet opinion monitoring is proposed. The specific method is to make use of the mass data process ability of MapReduce to implement a new network information abtaining method.

Abstract: A lot of image registration algorithms are proposed in recent year, among these algorithms, which one is better or faster than the other can be only validated by experiments. In this paper, ITK (Insight Segmentation and Registration Toolkit) is used for verifying different algorithms as a framework. ITK framework requires the following components: a fixed image, a moving image, a transform, a metric, an interpolator and an optimizer. Dozens of classical algorithms are tested under the same conditions and their experimental results are demonstrated with different metrics, interpolators or optimizers. By comparison of registration time and accuracy, those practical and useful algorithms are selected for developing software in image analysis. These kinds of experiments are very valuable for software engineering, they can shorten the cycle of software development and greatly reduce the development costs.

Abstract: Life detection based on a single type of information sources detection technology cannot completely meet the needs of the earthquake relief. The existing life detection techniques are include of acoustic wave life detection, optical life detection and radar life detection. The advantages and existing problems of the three life detection techniques are analyzed. The advantages and present situation of multi-sensor detection synergy technique are given . We explained the platform structure , multi-sensor selection strategy, and information fusion model. Finally, the development direction of life detection technique based on multi-sensor synergy is forecasted. This platform mainly realizes the infrared image and acoustic wave synchronization collection, analysis and processing of both audio life detection and video detection function, make up for the deficiency of the single sensor life detector, can get a more comprehensive and more accurate information about the scene of rescue and living organisms, is more suitable for complex quake rescue environment.

Abstract: Considering the limited resources and data transmission redundancy of wireless sensor networks, this paper proposes a distributed data aggregation algorithm based on lifting wavelet transform (DDAA-LWT), and carries out the rational design. The algorithm distributes the computing quantity which the lifting wavelet transform requires to all network nodes, eliminates the additional computing and wireless transmission, reduces the information redundancy of network, greatly prolongs the lifecycle of wireless sensor networks. Simulation results demonstrate that the distributed data aggregation algorithm based on lifting wavelet transform (DDAA-LWT) can effectively aggregate the original sensed data and decrease the energy consumption, it significantly outperforms the data aggregation algorithm based on traditional wavelet transform (DAA-WT).

Abstract: Considering the shortage of LEACH protocol, a novel dynamic multi-hop routing protocol named Balance Energy-efficient and Real-time with Reliable communication protocol based on Connected Dominant Set (BERR-CDS) is proposed in this paper. BERR-CDS protocol fully takes account of the energy consumption of an individual node and entire network, a rational transmission path from source node to sink node is searched, aiming at the network topology changes which are caused by the death of cluster head, the invalidation of cluster member nodes and new nodes joining, BERR-CDS designs the corresponding valid mechanism to respond, and it can rapidly adapt to the topology change of network. Simulation results show that BERR-CDS protocol has better performances in term of energy consumption, network lifetime and reliability, it is an ideal routing protocol in wireless sensor networks.

Abstract: Wireless sensor network is a data centric distributed self-organizing network. The transmission of data is the most important task of it. It is a topic worthy of study that how to ensure the reliability of data transmission in any environment .Fountain codes algorithm is simple, and has no ratio. It is very suitable for coding scheme for Wireless Sensor Networks. This paper mainly studies the Fountain codes of Raptor codes in wireless sensor network data transmission technology, and gives the concrete scheme and implementation ways. The application of this technology can improve the reliability of data transmission and transmission efficiency. It overcome the problems of very large packet error codec technology traditional rate and the decoding success rate.

Abstract: An automatic deformation inspection system of car seat frame based on virtual instrument is invented and applied in real production. The hardware configuration, software modules, inspection and control theorem and application example are introduced. The system is easy to use with sound real-time performance, stability and high accuracy.

Abstract: This paper investigates the inventory slab allocation problem in the iron and steel production. Considering some practical production factors including allocation quality, slab and order preferences, and the order-fulfill situation, we formulate the problem as a mix-integer programming model to allocate inventory slabs to the orders so as to maximize material utilization rate and customer satisfaction. Our objectives are minimizing the suitability cost concerning the allocation of slabs to orders and the cost associating with the unfulfilled or exceeded weight for each order, as well as maximizing the profit in terms of the allocated slab weight and the preferences of orders and slabs. Computational results using real-world data collected from the company show that the solutions generated by MILP are optimal.

Abstract: It has discussed the approach to establish the models of terrain, threat and the evaluation of route cost in the route planning for UAV in low-altitude penetration. An Ant Algorithm is introduced into UAV route planning, since stagnation may appear during searching in use of traditional ant colonies algorithm,this paper introduces yaw angle to improve heuristic information, establishes the prior search set, makes ant colony algorithm the more rapid and effective search to the best route, simulation results prove the efficiency of the planning method.