Applied Mechanics and Materials Vols. 713-715

Abstract: In order to study and broaden theapplication ofinfrared watermark, use the methods of gray componentreplacementto replace some or all of the black ink, get another replacement color. So that make the two colors has same visual effectin the visible light.However,thepresence of differences colors on the content of black ink. UseInfrared detection equipment to analysis two colors findthey existed differences in gray space.Under Infrared can be distinguished.Experiments usingcolor space conversion to achieve GCRalgorithmsand two color using print presses achieve infrared watermark embedding, then get a watermark graphic by infrared detection devices.

Abstract: Confidence regression is a significant research field of confidence machine learning. This paper adopts KNN algorithm as a tool, and performs error evaluation on results of regressive learning to classify the accept field and the refuse field so as to achieve the confidence regression. By setting specific error value, this approach achieves controllable confidence regression, which has been tested on experimental data of bodyfat and other data sets. The experimental results presented show the feasibility of our approach.

Abstract: Modern society has entered an era of information technology, computer communication and network technology is changing the entire human and social, blowing a lot of information to bring convenience, it also brings a lot of new questions, the first is information overload , it is difficult to digest: the second is difficult to identify true and false information; third is difficult to ensure information security; fourth is the information in the form of inconsistent, difficult to handle, "Faced with these challenges, data mining techniques have emerged, and have a higher frame model security and privacy protection according distributed heterogeneous environments of data mining features, integrated use of new technologies SOA, ontology, WEB services, follow the user-centric concept, data mining system framework proposed an open service oriented. binding domain knowledge of data mining applications, follow the user-centered design philosophy presented to the user for data mining center of the body, on the one hand based on data mining and mining objects to organize data mining algorithms, on the other hand provide effective data mining application solutions for the user based on the application domain knowledge to help different areas of multi-level users to easily select data mining services.

Abstract: In the visual background, diversified and personalized art design styles gradually permeate society and people’s habit of receiving information. With the constant improvement of the visual sensory requirements, word is no longer the only dissemination channel and its dominance suffers great influence. Visual communication is the vitality of the layout design. The design form of image application and graphic combination has has influenced social groups’ the habit of receiving information increasingly. A new form makes the pages more unique, full and has a sense of beauty. This paper introduces the way to analyze the relative relationship between the image and layout design in the visual background, whose purpose is to provide a theoretical basis for designers to wake with the reasonable application in the layout design.

Abstract: For the traffic safety or driving behavior research based on Advanced Driving Simulators (ADS), the validation of ADS which evaluates the effectiveness of ADS is the premise. In this paper, the validation method for ADS on the basis of the self-speed perception model is provided based on the related research findings and the speed sensitivity is determined as the main parameters of ADS validation evaluation model, which provides the effective support for the subjective validity assessment of ADS.

Abstract: Soil erosion in a catchment has becoming a serious environmental issue for an increasing damage to the surface ecological environment. To quantitatively simulate the sediment yield, the Soil and Water Assessment Tool (SWAT) was introduced in Tao River Basin. The investigation was conducted using a 8-year historical observed sediment data from 2001 to 2008. The performance evaluation shows that the simulated monthly sediment yield matched the observed data satisfactorily, with Re was less than 15%, R² > 0.9 and Nash-suttclife (Ens)>0.8 for both calibration (2001-2004) and validation period (2005-2008) at two observed stations, indicating the validity of SWAT model for sediment yield simulation in the study area. The results of this study can be helpful for solving the soil erosion issue for water environmental protection.

Abstract: On the basis of quadrature problem of function with two, three, four and five variables, this paper discuss quadrature problem of function with six variables. Firstly, we have expounded the method of differential quadrature problem. Finally, we solve the primary functions of a specific complete differential with six variables.

Abstract: This paper proposes a shadow removal method based on multiple feature fusion of multiple moving objects scene. First, extract the background image and foreground gradient image by using the detection algorithm which is based on intrinsic image. Obtain the edge information of the shadow by edge detection algorithm. The shadow of foreground gradient image is removed by edge difference analysis and morphological operations. Then, a shadow removal method based on invariant texture feature is used, which remove the shadow of object using edge information. Combined with the advantages of two methods, a method of shadow removal for moving objects based on multi-feature fusion is proposed.

Abstract: Dynamic optimization scheduling of the gas in iron and steel enterprises has great significance to reduce gas emission and the short-term forecast is the premise to realize the energy dynamic scheduling. Based on the characteristics that the influencing factors of blast furnace gas amount are complex and difficult to collect, a grey radial basis function (RBF) neural network forecast model is proposed to predict the gas amount for blast furnace in this paper. Combining grey theory, which is used to preprocess the historical data and obtain abundant information, with RBF neural network makes the effective trend forecast in the next 30 minutes come true. The model proposed in this paper is proved to be more accurate according to control experiments against the grey BP neural network.

Abstract: This article analysis the fundamental reasons of the universities recruiting excellent students from the perspective of systems engineering and establish a system dynamics model. Using vensim analysis the impact of recruiting , cultivating excellent students and the loss of them on the total amount of excellent students. While Long-term state of the system is predicted. Through comparing the two programs that the initial cultivation degree and recruiting efficiency are respectively as independent variables and the total amount of excellent students as dependent variable it can provide a reference for the system of university recruiting.