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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.

A new household multi-functional shoe cabinet was designed and prototyped. This shoe cabinet not only maintained the features of multi-function and intelligent control of the traditional one, but also made an innovation in its shortages. Through geometric space analysis and computation, selected rotary shoe rack for shoe storage for its space utilization rate is 1.6 times larger than the traditional one. A fully automatic shoe-cleaning device was designed and prototyped by using profiling mechanism, electronic timers and cam mechanism. Ozone disinfection and PTC dryer were used in shoes maintenance. The results in the performance test demonstrates that this shoe cabinet can accommodated 18 pairs of shoes in common use and clean and maintain shoes of size 34 ~ 45.

In order to remove the malodorous pollutants of total reduced sulfur (TRS) produced by kraft pulp mill, the experimental device was designed to remove the TRS gases in accordance with the principle of ClO2oxidizing TRS gases. After ClO2oxidizes TRS gases, the substances produced are absorbed by lye, which achieve the purpose of removing TRS gases. At the same time, these alkali absorber can be reused to the sulfur cycle of kraft pulp mills. With the self-designed experiment apparatus, the removal rate of H2S and CH3SH are 99.40% and 99.8% respectively, the concentration of H2S reduces from 1.275g/m3to 0.137mg/m3, the concentration of CH3SH reduces from 1.457g/m3to 0.032 mg/m3, which both reach national grade iii emission standards.

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.

Aimed at exploring the mechanism of acupuncture therapy, we develop functional brain networks using electroencephalogram (EEG) data, and use the methods cluster coefficient to analyze the functional networks. We develop the following result: during the acupuncture, the structure of network becomes tighter, the relativity grows stronger and the structure of the networks becomes complex. Our conclusion is that acupuncture is able to affect the firing properties of the central nervous system, and make the information transmission in the brain functional sections stronger.

A navigation star catalog (NSC) selection algorithm via support vector machine (SVM) is proposed in this paper. The sphere spiral method is utilized to generate the sampling boresight directions by virtue of obtaining the uniform sampling data. Then the theory of regression analysis methods is adopted to extract the NSC, and an evenly distributed and small capacity NSC is obtained. Two criterions, namely a global criterion and a local criterion, are defined as the uniformity criteria to test the performance of the NSC generated. Simulations show that, compared with MFM, magnitude weighted method (MWM) and self-organizing algorithm(S-OA), the Boltzmann entropy (B.e) of SVM selection algorithm (SVM-SA) is the minimum, to 0.00207. Simultaneously, under the conditions such as the same field of view (FOV) and elimination of the hole, both the number of guide stars (NGS) and standard deviation (std) of SVM-SA is the least, respectively 7668 and 2.17. Consequently, the SVM-SA is optimal in terms of the NGS and the uniform distribution, and has also a strong adaptability.

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.

According to the problems in the process of high-density mesh plate that mesh holes of plate is too density and the device screw bar is not long enough for the original equipment, a set process is used to overcome the problems of lying out and fixing for punchers. A simple special tool is designed. Fixed and slide ruler mechanisms are installed in the original machine. Repeat-orientation and several division methods are used, and the stroke of the original machine is increased two times, which successfully solves the processing problems and creates good economic benefits.

The random spruce short fiber reinforced polypropylene composites is a type of thermoplastic bio-composites. It is considered as homogeneous, isotropic in macro-scale of its specimen, in fiber scale about 500μm, the composite material appears heterogeneity, anisotropy due to the influence of microstructures of random short fibers. The heterogeneous deformations near the crack tip of the compact tension (CT) specimen which made from spruce/PP composites were measured by means of the digital image correlation method (DICM) with high resolutions digital image. The crack tip fields of heterogeneous displacement and strain for spruce/PP composites with fiber volume content 49% were obtained. The effects of random fiber microstructures on macroscopic deformations were discussed.

Achieving the detection and tracking of moving targets has been widely applied in all fields of today's society. Because of the shortcomings of traditional video tracking system, this paper proposes a novel method for designing video processing system based on hardware design of FPGA and DSP, and moving target in video can be detected and tracked by this system. In this system, DSP as the core of the system, it mainly completes the processing algorithms of video and image data, FPGA as a coprocessor, responsible for the completion of the processing of external data and logic. The hardware structure, link configuration, program code and other aspects of system are optimized. Finally, through the experiment, the input frame rate of video is 40frames/s, and the image resolution is 512pixels × 512pixels, median 16bites quantitative image sequence, the system can complete the relevant real-time detection and tracking algorithm and extract targets position of image sequences correctly. The results show that the advantage is that this system has powerful operation speed, real time, high accuracy and stability.

For the moving small dim targets in visible image sequences with low SNR and complex background, whose contained characters are simple and poor, they are extracted difficultly. This paper proposes a new method to detect and extract positions of small dim moving targets. According to the features of moving targets, in a very short time interval, the target trajectory is considered as a straight line approximately. Firstly, it makes use of threshold segmentation methods to extract the positions of targets in each frame, then building the motion line equations after the joint of multi-frame processing results. Finally, the position of small dim targets are detected out and extracted, and false targets are eliminated accurately. Hardware system was designed and the algorithm is implemented on hardware systems successfully. The experiment results show related functions of the system and extracting algorithm is feasible, the system is stable and has a strong process ability, which can effectively detect and extract small and dim target in complex background correctly.

Foam concrete is used in building energy-saving insulation works, to study its fire performance is very important for further enhancing the fire performance of buildings. Under simulated fire conditions, by determining the compressive strength of foam concrete at different densities, different calcination time and different water content, this experiment studies the effect of these conditions on the fire performance of foam concrete. The results show that in case of fire, the compressive strength loss rate of foam concrete increases with the decreasing of density; to calcine the foam concrete standard specimens whose density are 300kg/m3 and 800kg/m3, their strength loss rates are 66.3% and 25.5%, the compressive strength of foam concrete in the same density increases with the calcination time decreasing, water content has different effects on different densities of foam concrete in the fire security. The foam concrete is non-flammable, but its compressive strength decreases due to the fire of combustible materials and high-temperature calcination.

At present, high speed machining (HSM) features in high efficiency, high precision, high flexibility and high quality. HSM technology involves many factors, including cutting mechanisms, machining performance, tool path and other aspects. The key techniques on HSM such as linear interpolation, circular interpolation, cubic B-spline curve interpolation, non-uniform rational B-spline (NURBS) curve interpolation and their respective characteristics are paid more attention and expatiated.

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.

The prestressed steel beam is regarded as a composite system of beam and cables, and the interaction of the two parts is fully considered. The variational method is used to derive the equations for calculating the tension increment of external cables and deflection of steel beam under applied loadings. A model test of prestressed steel beam is used to verify the calculation results.

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.