With the development of Internet and Semantic Web technology, a huge amount of information appears on the network. Meanwhile, more and more knowledge was descripted based on XML (eXtensible Markup Language) and RDF(Resource Description Framework)format. It is a worthy study on problem of Knowledge Convergence...

There are many kinds of learning resources in the online education platform, but there are still many problems, such as learning resources are difficult to retrieve, search results are redundant, and can only be retrieved by keywords, but lack of semantic support. This paper integrated semantic web into...

In Web services environment, high-quality services discovery and selection depend on reliable users with high reputations. However, user reputation is hard to accurately obtain directly. To evaluate the reliability of users, we present user reputation measurement method, named URMM. Based on the historical...

Remote sensor systems maintain numerous applications in various fields. Sparing vitality in such systems is continuously a basic issue that should be considered to delay the network lifespan. Bunching in the systems is additionally considered as a vitality sparing directing strategy. This manuscript,...

Microblog serves as an outlet for expressing ideas of events and plays a significant role in propagating news. This paper focused on the most popular microblog in China - Sina-Weibo and discussed topic influences. Firstly, this paper decomposed topic structure into Average Fundamental Popularity and...

With wide use of microblogging, the sentiment analysis of emergencies based on microblogging is helpful to analyze the trend of public opinion, and is beneficial to monitor and guide the public opinion correctly for government. Firstly, word2vec is used to transform microblogging text into the feature...

The research of text similarity, especially for rumors texts, which constructed the calculation model on the basis of known rumors and calculated its similarity. From which, people can recognize the rumors in advance, and improve their vigilance to effectively block and control rumors dissemination....

Identifying sentiment polarity of a document is a building block of sentiment classification and natural language processing tasks, it aims to automate the prediction of sentiment orientation in a document. In general, recently fast-growing Deep Neural Networks(DNN) method has been extensively used as...

A new speech denoising method that aims for processing corrupted speech signal which is based on the sparse representation theory of speech signal. In this paper, we train a composite dictionary consisting of the concatenation of the speech dictionary and the noise dictionary by using the K-SVD algorithm....

Accurate estimation of the power consumption of electric vehicles in the future driving route will help to reduce the user's range anxiety, which results from short all electric range of electric vehicles and the lack of charging facilities. The existing research methods mainly focus on three aspects:...

Based on the existing time-of-use electricity price pricing scheme of Beijing, a real-time pricing scheme for electric vehicle charging is proposed in this paper to perform load shifting by adjusting the hourly-changed charging price. A two-stage model of determining electric vehicle charging price is...

We research the operation of an APP, which collects the data of related products through the members' photographs. We organize the information collected and make a regression model. We use MATLAB to make a scatter plot to understand the task in the APP in longitude - latitude - price distribution in...

With the development of the science and technology, a new business model for publishing tasks over the internet has emerged. This paper mainly focuses on the task completion of crowdsourcing platform and pricing scheme. By packaging tasks centrally, we establish a task pricing model based on partial...

This paper is aimed at presenting a technique appraising software trustworthiness grounded on Grey correlation analysis, which performs calculating of the weight for each index by virtue of trapezoidal fuzzy number. This paper initially works out at positive and negative ideal values for trustworthiness...

The scientific location of military equipment maintenance support sites problems are concerned by scholars. We study how to solve the location level classify without participation of experts, by setting up Hopfield neural network module, designing concrete computational procedures, and finally illustrating...

Interaction design, as the language between game and player, plays an important role in the whole game design. This paper introduces a 2D flying shooting game which is a combination of Arduino integrated circuit equipment and Processing programming software, and players can control the game by the PS2...

This paper is based on digital reduction technology and from the perspective of ancient bridge protection and the surrounding environment landscape reconstruction, putting forward to the methods of landscape heritage protection and reconstruction.And the second through the field investigation, this paper...

Under the tide of digital humanities, the Library actively participates in the research and practice. It has made considerable achievements. Based on the research documents collected by the CNKI and WOS database, this research reviews digital humanities in the field of Library Science. This article attempts...

Sustainable international development (SIND) is a kind of international development that meets the needs of the present without compromising the ability and efficacy of future generations to meet their own needs [@25,26,27 Vijayan Gurumurthy Iyer, World Engineers' Convention(WEC) 2004, Shanghai, China]....