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A service oriented semantic search engine framework is proposed to extract automatically and accurately information on service provider on the Internet. Domain knowledge on theme and abstract service provider are modeled by ontology to guide information extraction. Theme identification for each web page is executed after the page is fetched by search engine. A page or a part of content of a page is...
This paper presents a method to determine music-motion correspondence.For specific type of dance and music,system extract low-level features,calculate correspondence ,then select muisc-motion correspondence using genetic algorithms,and get a correspondence satisfing match accuracy and operation speed in the end.The experimental results indicate that system fully express the changes between music and...
For the popular DIV page layout in Web Pages, this paper presents a method based on the position of DIV to extract main text from the body of Web pages by reconstructing, remaining atomic DIV and analyzing DIV position. Experiments showed that the accuracy rate of extraction can reach more than 90%, with a high versatility and accuracy.
The development of mobile network technology provides a great potential for social networking services. This paper studied data mining for social network analysis purpose, which aims at find people's social network patterns by analyzing the information about their mobile phone usage. In this research, the real database of MIT's Reality Mining project is employed. The classification model presented...
This paper studies debt holders' belief updating and equity owners' financing decisions under asymmetric information during financial distress. This is done within a continuous-time framework, where the relevant state variable is assumed to follow an arithmetic Brownian motion (ABM). ABM can take negative values and has very realistic feature compared with geometric Brownian motion (GBM). Using Chapter...
As far as librarians in colleges and universities are concerned, it is significant for them to improve their abilities to provide multilingual information service, which can better meet the increasingly high academic information needs of college students and other researchers. This paper discusses how to improve the capability of multilingual information service for college librarians. Firstly, the...
Cooperative agents often need to reason about the states of a large and complex uncertain domain that evolves over time. Since exact calculation is usually impractical, we aim at providing a modeling tool that supports approximate online monitoring in such settings. Our proposed framework, the multi-agent dynamic Bayesian networks (MA-DBNs), models the dynamics of a group of cooperative agents approximately...
Extensive research has been done for efficient computation of probabilistic queries posed to Bayesian networks (BNs). One popular architecture for exact inference on BNs is the Junction Tree (JT) based architecture. Among all variations developed, HUGIN is the most efficient JT-based architecture. The Global Propagation (GP) method used in the HUGIN architecture is arguably one of the best methods...
Power allocation with relay selection with incomplete channel state information is considered. Particularly, the utility function is based on the rate and adds the different pricing schemes to reflect the cost of each node according to the different status of each node. We decide if and which relay node to take part in cooperative communication based on the SNR of each node. Then the source and the...
This paper proposes a novel multiple watermarking scheme for different purposes: to notify the copyright owner with a reversible visible watermark in the region of interest (ROI) of the original image, and to protect the copyright with an invisible watermark in the remaining part of the image. It can fully remove the visible watermark from the dual watermarked image and restore the ROI. The invisible...
The polynomial kernel is one of the most important kernels used in the learning theory. This paper provides an error analysis for the support vector machine (SVM) soft margin classifier with polynomial kernels. The learning rate is estimated by the sum of sample error and regularization error. As an important tool, so-called modified Durrmeyer polynomials are introduced. The norm of reproducing kernel...
In this country, there is a great gap on teacher resources allocation in urban and rural. Aiming at solving the problems of lacking qualified teachers resource and teacher post-training in rural, this paper presents network teaching platform to promote coordinated development of urban and rural areas teachers. It sets up a model for promoting coordinated development of urban and rural teachers with...
This experiment was about the effect of Butyl benzyl phthalate on DNA strand breaks and the DNA-protein crosslinks in cells. Mouse mast cells cultured in vitro were exposed to different concentrations of BBP (0, 4, 2<K 100 mumolldrL-1) for 1 h. Comet assay and KCl-SDS assay were used to measure the DNA strand breaks and DNA-protein crosslinks. Results showed that, all of the BBP treatment groups...
Localization and mapping in robotics are preliminary but challenging problems. A learning approach must be followed by a robot to understand its environment and perform data association before it accomplishes any other tasks. In this paper, we describe a novel combination of techniques to map the environmental boundaries traced by the robot and localize it inside the bounded region. This is an effort...
Reversible watermarking is suitable for hiding data in 2D vector graphics, especially in scalable vector graphics (SVG) medical images, because it can remove the distortions induced by watermark embedding after extracting the hidden bits. This paper proposes a novel reversible watermarking scheme based on the difference expansion and difference shifting. Since the 'path data' in SVG files includes...
This paper is to introduce a new approach to build topic digital library using concept extraction and document clustering. Firstly, documents in a special domain are automatically produced by document classification approach. Then, the keywords of each document are extracted using the machine learning approach. The keywords are used to cluster the documents subset. The clustered result is the taxonomy...
Named entities (NEs) are the expressions in human languages that explicitly link notations in languages to the entities in the real world. They play important role in cross-language information retrieval (CLIR) because most users' requests have been found to have NEs, and majority of out-of-vocabulary terms are NEs. Therefore, missing their translations has a significant impact to the retrieval effectiveness...
This paper describes an investigation of signal boosting techniques for post-search data fusion, where the quality of the retrieval results involved in fusion may be low or diverse. The effectiveness of data fusion techniques in such situation depends on the ability of the fusion techniques to be able to boost the signals from relevant documents and reduce the effect of noise that often comes from...
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