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With the rapid development of wireless communications, the ever increasing demand for limited spectrum resources will eventually cause spectrum scarcity problem. Cognitive Radio offers a solution to this problem, which intelligently detect unused spectrum and share it, without harmful interference to primary users. It has been a research hotspot on how to analyze and utilize licensed spectrum to meet...
How to make a the early warning system of disaster to have intelligence is a hot topic now. A technology framework based on Bayesian network is presented to capture and predict the 3D spatial information, and designed a system of coal mine early warning based on the Bayesian network, which supports for disaster management and remote engineering Control.
For integrating web databases, the very first challenge is to understand what a query interface says or what query capabilities a source supports. From the view of people, the interior structure of web pages is not concerned to for people. In the most cases, semantic block is identified via visual elements. Therefore, in this paper, a novel arithmetic of schema extraction based on visual features...
Query interface is used to formulate queries to receive needed data from web databases in deep web. In order to access domain-specific databases, the most important step is to construct an integration interface that allows uniform access to disparate relevant sources. Therefore, this paper proposes a novel method of integrating query interfaces based on ontology in deep web. Firstly, make full use...
In deep web, a significant amount of information can only be accessed through query interface of a back-end database, however, general search engine can not interact with the query interface, resulting in the myriad hidden and unvisible information can not be accessed. Therefore, this paper proposes a novel method of filling forms of deep web entries by importing ontology technique. Firstly, construct...
The traditional clustering algorithms are designed for large dataset or vary large dataset. It is not easy to cluster the small dataset because of the loss of the statistical character and probability character. In this paper, the class ration is introduced, based on the class ratio, the dynamic clustering algorithm is proposed. The dataset are divided into all possible classes, and the class ratios...
Many memory-intensive algorithms can actually be designed to parallel realizations through constructing the memory hierarchy. Base on this thought, we disassemble the K-shortest paths/K-nearest-neighbors (KSP/KNN) problem to small subproblems and use Yen's method to treat with each subproblem, therefore derive a new method to resolve the KSP/KNN problem, which can easily be realized in parallel computing...
A novel domain decomposition approach for modeling electrically small details within large computational domains is proposed. The approach tackles the conditioning issues associated with highly non-uniform finite element meshes resulting from direct discretization of fine geometrical details. The proposed method addresses this particular challenge, specifically for fast optimization tools, by separating...
Nowadays, the E-Commerce plays a very important role in peoples' life; many people like to shop on Internet. At the same time, people left so much information in Internet, which include the privacy information. Malicious users in Internet can get users' privacy information with directly or indirectly way. Traditional way is to protect the directly privacy. In this paper, we proposed a schema to prevent...
Nowadays, the e-commerce plays a very important role in peoplespsila life; many people like to shop on internet. At the same time, people left so much information in Internet, which include the privacy information. Malicious users in internet can get userspsila privacy information with directly or indirectly way. Traditional way is to protect the directly privacy. In this paper, we proposed a schema...
Fuzzy clustering plays a very important role in clustering analyze and the fuzzy set is the base of the fuzzy clustering. Dynamic fuzzy set can be changed with the environment; in a real process task; the dynamic fuzzy set should be updated, which make the fuzzy set fit the environment well. In this paper, we apply the immune evolutionary into the update of the dynamic fuzzy set; the fitness degree...
Link context is a beneficial complement to the anchor text when we predict the topic of the target Web page. In this paper, we have defined the link context of the anchor text as a word set in which each word has dependency relationship with it. We have proposed an effective method for the extraction of the link context. Firstly, we have decomposed the whole sentence into some sub-clauses through...
In cognitive radio networks, the unlicensed users can utilize the unoccupied licensed spectrum opportunistically. In this paper, we propose a joint power and end-to-end rate control algorithm considering restricting the interference to licensed users. By duality theory, the optimal resource allocation solution is given for the unlicensed users while satisfying the interference temperature limits....
The MAC-layer sensing, as a key component of spectrum sensing in cognitive radio, concerns the sensing mechanism design to determine when to sense and access which channel. An important issue of MAC-layer sensing is to find an available channel with a minimized searching delay for the cognitive transmission without any harmful interference. In this paper, we focus on this issue and propose adaptive...
Sentiment classification aims at mining reviews of people for a certain event's topic or product by automatic classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help people automatic analysis of customers' opinions from the web information. Automatic opinion mining will benefit...
The Web has been rapidly deepened with myriad searchable databases online, where data are hidden behind query interfaces. However, users often have difficulties in finding the right sources and then querying over them in myriad useful databases online. For solving this problem, this paper presents a new method by importing focused crawling technology to automatically accomplish deep web sources discovery...
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