Key Engineering Materials Vols. 460-461

Abstract: Wireless sensor real-time control network is important construction part. With same Real-time system, this network need Real-time and reliability. Modern network mainly is Ethernet. This network speed is fast than the older, the simple protocol, the lower cost and integrate TCP/IP technique in the IT world. But because its self mechanism decide that it is a no-realtime network. This paper propose a novel wireless sensor real-time control network protocol model based on Ethernet hardware, including protocol logic, communication strategy logic, server logic, communication control logic and CMIB. At the same time, this paper introduce work flows and main function of main constructing part of this real-time protocol model.

Abstract: With the rapid development of internet technology, focusing on the product design of individual users, emphasizing the interaction design for Web and improving the user experience have become an inevitable trend of Web design, and also the hot spot of the design of personalized search engine. This paper proposed an optimized algorithm for building user models for product design websites. In order to show the design dimensions of Web pages presented by a browser, a concept of freshness is presented in this algorithm. By analyzing the user behavior of browsing Web pages, the model was updated using methods of machine learning. At last, the performance and effectiveness of this algorithm was analyzed and estimated through the simulation experiment.

Abstract: the cloud computing has the potential of becoming a revolutionary technology that changes the way service computing is performed. This paper presents a new Extensible Model and Architecture for United Cloud Computing, This model explicitly addresses the limited scalability of a single-provider cloud, the lack of interoperability among cloud providers, and the lack of built-in Business Service Management support in current cloud offerings. The principles introduced in this paper are essential for the cloud computing vision to materialize to its full extent.

Abstract: the face to global integration, highly integrated, highly competitive era, talent and technology has become the focus of competition, IT enterprises are so in particular. Establishing and improving an incentive mechanism is to stimulate enterprise IT staff enthusiasm for work, give full play to the creativity of employees, retaining a healthy sustainable development, making it an important way and there must be the road. This paper presents some effective approachs to solve these issues.

Abstract: Influence of recycled aggregate on slump, compressive strength and chloride ion permeability of recycled aggregate concrete was investigated. As is shown by the results, although recycled aggregate belongs to the category of poor quality aggregate, the properties of high performance recycled aggregate concrete are not reduced dramatically with the increasing amount of recycled aggregate, for recycled aggregate have both positive effects and negative effects on the properties of recycled aggregate concrete. The high performance recycled aggregate concrete can be developed by double-mixture of ultra fine fly ash and superplasticizer.

Abstract: In the light of heavy metal contents such as Pb and Zn in municipal sewage sludge exceeding the allowed maximum value of discharge wastes in China, new solidification technology was taken to solidify sewage sludge; its effect and safety were studied as well. The experiment results showed that the 28 days compressive strength of sewage sludge concretion were more than 40 MPa by this solidification method and a relative excellent advantage of road performance properties such as residual Marshall values and rutting resistance for asphalt mixture prepared with sewage sludge concretion. Meanwhile, its solidified heavy metal infusion met the requirements of the national standard, in other words, heavy metal ions receiving an effective bound and stable solidification.

Abstract: This work presented an approach for color and texture classification of green tea using Least Squares Support Vector Machine (LSSVM). Color features extracted from histogram of every channel in RGB and HSI color space, texture features computed from Grey Level Co-occurrence Matrix (GLCM) of every channel in RGB and HSI color space, and different combinations of the color and texture features, were used respectively as input data set for the LSSVM classifiers. The classification performances of these different methods were compared. The results show that the combined color and texture features from HSI color space give the best performance with accuracy of 96.33% for prediction unknown samples in testing set. Based on the results, it can be concluded that combined color and texture features coupled with a LSSVM classifier can be a fast and non-destructive technique efficiently utilized to classify green tea.

Abstract: In this paper, we present a fast method for segmentation of triangular meshes into simple patches. The method is suitable for commonly used CAD models. Given a mesh surface, all faces of it cluster to a user-specified number of patches according to similarity of curvatures. Experimental results show that our algorithm is very efficient and effective.

Abstract: A novel hybrid method based on SVM and linear regression for short-term load forecasting was presented. It is well known that temperature information is very important for load forecasting, but the local structure of temperature sensitive information is not adopted in the literature. The proposed model adopts an integrated architecture to handle the local temperature sensitive information. Firstly, the input load data set is clustered into several temperature similar days subsets by the k-means algorithm in an unsupervised manner, Then compute the temperature correction in each subsets and split the time point (5 minutes, 288/day) into three time zone: the most temperature sensitive time zone, the less temperature sensitive time zone, and partial temperature sensitive time zone. The most temperature sensitive time zone is forecasted by the linear regression, the less temperature sensitive time zone is coded only using past load data, and then use the generic support vector regression to forecast the next day load in that time point, the partial temperature sensitive time zone is coded combining the past load and temperature information and then using the support vector regression same as the less temperature sensitive time zone. Finally, we smooth the whole forecasted load curve using linear programming. The empirical results indicate that our hybrid method results in better forecasting performance than the original generic support vector regression.

Abstract: This topic mainly makes use of the VC plait distance language, design and realization agreement according to the TCP/IP of C/S the correspondence model of the mode, design terminal of correspondence format, design and carry out a terrace server, carry out a data between terminals transmission with synchronous. Under the environment of Windows XP, make use of Visual C provide of CSocket carry on the development of applied procedure, can make the procedure carry out a network a top a data to receive, send out function quickly and accurately, complete an of customer of the data deliver. The realization is under the network environment of have another person's on-line technique.