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Database-driven Dynamic Spectrum Sharing (DSS) is the de-facto technical paradigm adopted by Federal Communications Commission (FCC) for increasing spectrum efficiency. In such a system, a geo-location database administrator (DBA) maintains spectrum availability information over its service region whereby to determines whether a secondary user can access a licensed spectrum band at his desired location...
As for the semi-supervised learning, both label and side information serve as pretty significant indicators for the classification. However, majority of the associated works only focus on one side of the road. In other words, either the label information or the side information is utilized instead of taking both of them into consideration simultaneously. To address the referred defect, we propose...
Power system stability has been a fundamental topic in power engineering area. Recently, with the growth of load demand and the utilization of renewable energy, the preventive control of power system transient stability becomes more challenging. Following the trend of applying intelligent approaches to solve stability problems, this paper proposes a decision tree (DT)-based online preventive control...
A radio monitor station (RMS) collects the radio signal information of a large range of frequency for the management of radio bandwidth usage. To meet the challenges of large dynamic data, we have developed a domain specific management information system (MIS) for the radio monitor stations. The system design and implementation are described in the paper. An algorithm is provided to work with the...
We show how to extend temporal support of SQL to the Turing-complete portion of SQL, that of persistent stored modules (PSM). Our approach requires minor new syntax beyond that already in SQL/Temporal to define and to invoke PSM routines, thereby extending the current, sequenced, and non-sequenced semantics of queries to PSM routines. Temporal upward compatibility (existing applications work as before...
As ship power system continues to expand the scale, the workload of the calculation and analysis is growing. Using computer technology to create an object-oriented ship power system simulation platform will play an important role on the overall power system design and performance evaluation. In this paper, we add simulation application algorithm further based on the established graphical simulation...
Intelligent System (IS) technologies have shown encouraging potential in facilitating very fast power system dynamic security assessment (DSA) in recent years. In general, the development of the IS consists of four stages. This paper conducts a comprehensive and detailed review on each stage and classifies the methods involved in the stages. The classification highlights the differences between the...
The process of using the database in order to ensure the correctness of data manipulation, we realized affairs. Transaction is a set of logical operation unit, the data transformation from one state to another state, to ensure consistency of data in the database, data manipulation should be discrete groups of logic cells, and when it all finished, Data consistency can be maintained, and when a part...
Conventional approaches to image annotation tackle the problem based on the low-level visual information. Considering the importance of the information on the constrained interaction among the objects in a real world scene, contextual information has been utilized to recognize scene and object categories. In this paper, we propose a Bayesian approach to region-based image annotation, which integrates...
In Web database integration, crawling data pages is important for data extraction. The fact that data are contained by multiple result pages increases the difficulty of accessing data for integration. Thus, it is necessary to accurately and automatically crawl query result pages from Web database. To address this problem, we propose a novel approach based on URL classification to effectively identify...
In text classification, effective feature selection is essential to make the learning task more efficient and accurate. This paper proposes a new feature selection algorithm based on Immune Clonal Selection Algorithm (ICSA) for medical text classification according to the characteristics of medical document. It considers that the affinity based on Jeffries-Matusita distance and the clone operator...
Cloud computing is gaining acceptance among mainstream technology users. Storage cloud providers often employ Storage Area Networks (SANs) to provide elasticity, rapid adaptability to changing demands, and policy based automation. As storage capacity grows, the storage environment becomes heterogeneous, increasingly complex, harder to manage, and more expensive to operate. This paper presents PGML...
In learning based single image super-resolution (SR) approach, the super-resolved image are usually found or combined from training database through patch matching. But because the representation ability of small patch is limited, it is difficult to guarantee that the super-resolved image is best under global view. To tackle this problem, we propose a statistical learning method for SR with both global...
In patch based face super-resolution method, the patch size is usually very small, and neighbor patchespsila relationship via overlapped regions is only to keep smoothness of reconstructed high-resolution image, so the prior is not always strong enough to regularize super-resolution when observed low-resolution image lose facial structure information. We propose to use Gaussian Mixture Model(GMM)...
Human beings recognize similarity in scene perception based on their available high-level knowledge about the low-level visual features, which is gradually accumulated throughout their entire lives. Once there is not enough knowledge they tend to rely on low-level visual content. Inspired by this observation, we proposed a new framework of relevance feedback for content-free image retrieval to tackle...
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