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Interference mitigation between femtocells and the surrounding macrocells is one of the major challenges in femtocell deployment. This paper proposes a system architecture of using TV White Space (TVWS) in LTE femtocell networks, which includes: (i) a Geo-location database to obtain locally available TVWS information, and (ii) a new resource allocation scheme using the locally available TVWS to mitigate...
In this paper we present a novel scheme for reducing the impact of variations in head pose on face recognition. As its heavy reliance on the sampling center makes traditional log-polar sampling poorly suited for eliminating the impact of variation in head pose, we successfully overcome this problem using a quincunx pyramid sampling algorithm of our own design. Tests using the faces of 100 subjects...
An anti-PROXY detecting scheme based on characters is proposed. According the characters of data flow, viz. flow rate character, application character, content character, process character and behavior character, it is identified whether the user is an PROXY object or not. The next step anti-proxy action will be made in terms of practical policies. The scheme includes character collection, modes matching,...
Many researchers have explored the abstraction theory and tried to capture the essence of abstraction. In this paper, we propose the concept of Flow Fragment (FF) and apply FF to the G-KRA model framework. The FF-based model can be automatically constructed by recognizing the flow fragments of the abstraction model which is generated during the abstraction modeling phase in the G-KRA model. The mapping...
This paper presents a crawling system, that helps building a shopping search engine. The system's core is a vertical crawler that is specially used in shopping search engines. The crawler is divided into 5 parts and it realized automatic generation of crawling templates by its analysis module which is a regular expressions method set. A manual generation of crawling template is designed to support...
Divide-and-conquer principle is a fashionable strategy to handle large-scale classification problems. However, many works have revealed that generalization ability is decreased by partitioning training set in most cases, because partitioning training set can lead to losing classification information. Aiming to handle this problem, an ensemble learning algorithm was proposed. It used many sets of parallel...
Direction parameter thetas is one of the important parameters of GLCM (gray level co-occurrence matrix). A fixed angle (such as thetas=45deg) or the average of the measurements in four direction (thetas=0deg,45deg,90deg,135deg) were usually used in calculating GLCM. However, these methods are just empiristic idea, lacking of theoretical support. In fact, the above-mentioned idea are usually failed...
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