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Web application has been widely used. So it is urgent to test the security of Web application efficiently to resist various attacks. In this paper, key technologies (detecting framework with plugin, discovering unknown vulnerability and building detection tools integrated by user-defined) are absolutely researched. No matter Web application is running or not, the platform can be dramatically able to discover the vulnerability efficiently to insure their security.

Based on the establishment of the geometry and equations of non-contact vortex gripper, the numerical analysis of the internal flow field characteristics and the key parameters affecting the adsorption performance was carried out. The results showed that: for the single air-entrance gripper, the negative pressure center not coincides at the geometric center of the gripper. Besides, with the movement of swirling flow, the position of the negative pressure center transformed; When the geometric parameters and working conditions are fixed, there is the most suitable air gap making the maximum value of negative pressure and adsorption force; Compared to single air-entrance gripper, double air-entrance gripper have better adsorption stability.

In this paper, three types of urban sewage treatment cost model, Oxidation ditch, ICEAS and A2/O are established respectively. The cost model and the analytic hierarchy process (AHP) were applied to sewage treatment plant for process optimization. It provides guidance for urban sewage treatment process decision-making.

A finite-element mechanical model is established aiming at the features of telescopic suspension arm of dirt-removing crane in practice, such as that there exist many compound modes, the range of variation in lifting weight is big, etc. The strength, stiffness and stability of suspension arm is calculated and optimized based on ANSYS (software). The result of conventional design, which is checked and revised, tallies with the measured value relatively and may provide valuable reference for the design of suspension arm, which is to some extent significant to prolonging the fatigue life of cranes.

A kind of intelligent EOD manipulator with five DOF has been designed against the EOD sites with the complicated cases and many obstacles unstructured. In this paper a general solution for the intelligent EOD manipulator with five DOF has been summarized, and a system analysis based on the following five parts has been performed further: Design for structure of the hand, design for structure of the wrist, design for structure of the arm, design for body of the manipulator, design for the hydraulic driving system. In view of the above, utilizing software such as CATIA and AUTOCAD, etc, a relative three-dimensional solid model has been modeled in the design to improve it in efficiency and quality, accordingly, and shorting development period for the intelligent EOD manipulator with five DOF.

The construction industry is a pillar industry of Chinese national economy, but also one of the industries with high accident rates. This paper analyzed Chinese construction industry in recent years, production safety situation, which indicated that the building production safety accidents and deaths continued to decline, construction safety production and the overall situation was getting better and better. After management analysis of safety production in construction industry, strengthening the government functions, truly serving people oriented from government to business, and enhancing the safety culture were real solutions of construction management.

This paper summarized the actual situation and problems of domestic sewage treatment in small towns in Yunnan province, and recommended four suitable sewage treatment technologies combining with its domestic sewage treatment process for water treatment, project investment, land allocation and operating cost analysis.

First, this paper estimates all kinds of non-point source pollutant emissions in the source areas of Liao river, then calculates the pollutant quantity discharged into the river from rural living sources, planting pollution sources, livestock and poultry breeding pollution sources and aquaculture pollution sources in detail in the source areas. The results of the paper could provide a scientific basis for making a far-reaching significant watershed management scheme.

Natural fiber reinforced composites have become excellent candidates for automotive applications and civil engineering facilities. The design procedures will require precisely evaluating the toughness of the materials, which demand accurate measurements of strain or displacement that are difficult to obtain for ductile materials. The primary objectives of this paper were to develop reliable experimental approaches which can effectively evaluate the fracture behaviors of random short natural fiber reinforced polypropylene (PP) composites. The digital image correlation method (DICM) was applied to compute the deformation fields around the crack tip of a compact-tension specimen in a process of loading. An experimental and numerical hybrid method was used to describe the fracture behaviors of the composites. The relationship between the micro-structure of random fibers and the macroscopic mechanical properties of the composites can also be understood.

Natural short fiber reinforced polypropylene (PP) composite has great significance both in commercial and environmental and is widely used in motor industry. Its local inhomogeneity and interphase both affect the macroscopic properties of the composite. These phenomena are still difficult to observe and study accurately in the experiment. A cohesive zone model (CZM) based numerical simulation method is presented in this paper. The three-phase (matrix-interphase-fiber) model considering some different factors was developed to study the effects of interphase parameters on the mechanical properties of the composite.

Most of the methods for ontology merging need participation of domain experts and provide only partial automation with low efficiency. It is time-consuming and laborious especially when large amount of data are to be merged. In this paper, a method based on semantic is designed for ontology merging according to the case of ontologies to be merged. In this method, first the ontologies to be merged are conversed into a unified format. Then a secondary file is generated. After that semantic analysis is applied to secondary file and a dynamic SQL statements is generated automatically. At last the SQL statements are executed to finish ontology merging. It has been proved by the experiment that using this method would get good precision and high efficiency. Using this method, two ontologies Chinese Agricultural Thesaurus and AGROVOC of the Food and Agriculture Organization are merged successfully.

For better design and control of the space turntable, a model for measuring its angular velocity was built. The model utilized a two-axis space turntable to perform the simulation basing on the coordinate conversion theory. The measuring simulation went on with the help of MATLAB software using different carrier attitude angles. It shows the maximal error in the sub astral point longitude and/or latitude is 0.00785 degrees when comparing with the STK results, certifying the validity of the models. The satellite attitude angles have influence on the angular velocity, the maximal azimuth angular velocity is 3.784 deg per sec, yet the elevation's is 0.6945 deg per sec when the attitude angles are all 20 degrees. This simulation process provides some guidance for designing, controlling and calibrating the space turntable.

This paper puts forward an agent genetic algorithm based on bacteria foraging strategy (BFOA-L) as the feature selection method. The algorithm introduces the bacteria foraging (BF) behavior, and integrates the neural network and link agent structure to achieve fuzzy logic reasoning, so that the weights with no definite physical meaning in traditional neural network are endowed with the physical meaning of fuzzy logic reasoning parameters. The algorithm can maintain the diversity of the agent, so as to achieve satisfactory global optimization precision. The test result shows that this algorithm has good stability, little time complexity and high recognition accuracy.

Inspired by the human vision system, a new image representation and analysis model based on Gaussian multiscale multivariate image analysis (MIA) is proposed. The multiscale color texture representations for the original image are used to constitute the multivariate image, each channel of which represents a perceptual observation from different scales. Then the MIA decomposes this multivariate image into multiscale color texture perceptual features (the principal component score images). These score images could be interpreted as 1) the output of three color opponent channels: black versus white, red versus green and blue versus yellow, and 2) the edge information, and 3) higher-order Gaussian derivatives. Finally the color image denoising approach based on the models is presented. Experiments show that this denoising method against Gaussian filters significantly improves the denoising effect by preserving more edge information.