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This paper puts forward a classification method of imitating the human eyes to recognize image as a whole which combined chaotic neural network and the Empirical Mode Decomposition (EMD). The method takes the individual of weeds plant as the research object and utilizes the chaotic neural network, the EMD, Teager energy operator and cluster analysis technology comprehensively. Firstly take the two-dimensional gray image matrix as the chaotic neural network weight matrix directly. Use the chaotic neural network with n neurons expression to iterate and get the one-dimensional output curve. Secondly, make the EMD decomposition for the curve and get the corresponding intrinsic mode function (IMF) curves. Then make the Teager energy transformation for each IMF component and get the average Teager energy. Finally use the fuzzy clustering algorithm to cluster analyze and get the clustering results. It can realize the classification of different categories of weeds through analysis and contrast the results with the original images. The experiment proves the effectiveness of the proposed algorithm for classifying weeds, and it is a universal new method of weeds classification.

This paper discusses the use of Baum-Liu-Tesche (BLT) equation for analyzing and calculating the propagation and load responses of transmission-line networks in frequency domain and time domain. The derivation and each parameters of BLT equation is introduced, and using BLT equation, two examples of specific coaxial cable networks are established, and the propagation and responses of networks are analyzed and calculated. The responses of networks terminals are measurement, and calculation results and measurement results are compared. The results show the excellent agreement between measurement and calculation results. The study results of this paper can be used for cable networks design and protection against EMP.

Computer vision technology has been widely applied to various fields of agricultural development, and with the rapid development of computer technology, graphics and image processing technology, enormous progress has been achieved on its applications in agriculture. This paper has reviewed and summarized the development of computer vision technology mainly in detection and grading of the quality of agricultural products, crop monitoring, automation of agricultural production, crop disease identification and other aspects and has discussed the prospect for future development.

Trust mechanism has been identified as one of key areas in the field of Internet security. Our objective in this paper is to develop a dynamic trust evaluation model for Internet computing. The proposed scheme divides the recommendation trust into the direct recommendation trust and the indirect recommendation trust, and considers variety of factors to calculate the two types of recommendation trust degree. Simulation results show that, compared to the existing trust model, the model can effectively improve the accuracy of trust evaluation, and provide a better capacity of resisting malicious entities.

The security in e-mail protocol has received significant research attention. In this paper, an e-mail protocol, GSEP, using improved generalized signcryption scheme is proposed. GSEP can send private e-mail, public e-mail safely, and using key trace to solve the problem of key escrowing, using identity authentication to solve the problem of junk e-mail. The proposed protocol not only improves the information processing capability of e-mail system for its multi-function, but also guarantees the security of transmitting information.

Approximate but different EBOM encode rules be used in different enterprises. To solve the enterprise in the processing of EBOM data from source SAP system and also keep the low cost, on basis of research and analyze the internal users requirement, design and develop an ASP.NET Web system for EBOM processing. The system acts as the role of middleware between SAP systems, which convert EBOM data from source SAP system to the format that target SAP system accept, and then import into the target.

Based on the results of experiment, this paper discusses about the updating and validation of accurate finite element model for damage identification of the steel-concrete composite box girder bridge. Taking a 5 meters long steel-concrete composite box girder bridge as the research object and the finite element model is established. By means of scale model test the updating of the accurate finite element model has been completed and validation is confirmed.

Taking the four-span 40m simply supported multi-box steel-concrete composite girder bridge in the ProjectⅡ of Qiushi Expressway in Hangzhou as the background, this paper analyzed the static and dynamic behaviour of the bridge by FEM, then finished a field test study for the bridge. Finally, comparing the test values with the results obtained from FEM analysis, it was verified that the rigidity transverse beam method with infinte stiffness is also adaptive to caculating and predicting the load transverse distribution of the multi-box steel-concrete composite bridge. Steel diaphragm and stiffening rib of the multi-box steel- concrete composite bridge can improve the flexural capacity of bridge to some extent, so these contributions should be reasonably considered during the design stage in order to reduce the engineering cost. The measured modes agree well with the results from FEM.

Based on the data from dynamic analysis of a 40m-span multi-box steel-concrete composite bridge and the difference value of its modal curvature before and after the structural damage, this paper detects the damage locations in steel-concrete composite bridge by modal curvature difference method (MCDM). Here we adopt the updated finite element model in last work as analytical model, taking concrete density and elastic modulus as updating parameters and modal frequency+MAC as reference data. The results indicate that the modal curvature difference method can well locate the damages in steel-concrete composite bridge, especially the damage in concrete. But the change rate of frequency as damage index is insensitive to the bridge damage and the method can’t be applied solely for practical.

To make the dot gain compensation curve more precise, this paper analyzes the methods already used and then propose a new method. We implement this new method and the old ones respectively through MATLAB, and get their dot gain compensation curves. At the same time, the average error and variance were counted to test their precision. The results show that the new method can apparently improve the precision and reduce the error. The average error of the normal method is 2.96% while it is reduce to 1.56% by the new method.

This paper uses the more intuitive visual processing of the camera to extract navigation information instead of using the low-end information collection technology of the photoelectric sensor as the current autonomous lawnmower navigation sensor. Image grey processing, binary algorithm, the image smooth method, the image inflation, the improved Hough transform combining with VC++ are used to get the line in order to distinguish the done and undone lawn successfully and to obtain navigation path and navigation parameters. The improved grayscale algorithm and the Hough transform algorithm have reduced the amount of image data processing, solved the small angle lines problem, and improved the real-time of the robots. Meanwhile prove the impossibility of image sharpening and border detection on extracting lawn boundary. The feasibility of the lawn image processing has been proved by examples.

High-quality and high-performance gear research is a significant key technology research projects in energy, transportation, chemical industry, metallurgy common areas. The vibration and noise of gear transmission mostly come from the working gear transmission. The dynamic properties of gear transmission include the dynamic load of gear transmission system, the mechanism of vibration and noise, computing and control, which are the main directions of the future research.