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In recent years, the State Grid has built amounts of business systems, e.g. OA, marketing and MIS systems. And it gradually developed into big data. However, with the construction of information increasingly deepening and a sharp increase of data volume, new challenges and inconvenience have been brought out for data seekers. In this paper, an architecture model of data integration in power field...
Objective: Systematically review the value of second-trimester triple serum tests screening for Down's syndrome by using meta analysis. Method: The literature on PubMed, Journal of Medicine Library, CNKI, Web of Knowledge from January 2000 to April 2014 concerning second-trimester Down's syndrome screening was retrieved by computer or by hand. The literature was evaluated based on the QUADAS quality...
We propose Guided Random Testing (GRT), which uses static and dynamic analysis to include information on program types, data, and dependencies in various stages of automated test generation. Static analysis extracts knowledge from the system under test. Test coverage is further improved through state fuzzing and continuous coverage analysis. We evaluated GRT on 32 real-world projects and found that...
While being highly automated and easy to use, existing techniques of random testing suffer from low code coverage and defect detection ability for practical software applications. Most tools use a pure black-box approach, which does not use knowledge specific to the software under test. Mining and leveraging the information of the software under test can be promising to guide random testing to overcome...
Mining association rules is an essential task for knowledge discovery. But discovering association rules based on graph need many times to traverse graph in generating candidate itemset. This paper proposes the improved algorithm, which constructs the directed graph and generate candidate item sets by using the directed neighbor nodes set, the algorithm need traverse the directed graph only once....
In this paper, we propose a method to constrain and summarize optimal risk and preventive patterns in medical data using risk and preventive set with weight (RPSW) algorithm. The proposed method was tested by two benchmark medical data sets. The experiments show that the number of attribute-value items of the constraints was significant reduced and the results are understandable and intuitive.
We present a novel image-based method to synthesize realistic result of transparent object under arbitrary illuminations. Image-based relighting,environment matting and shadow matting algorithms are used to render refractive object as well as caustic shadow and specular property. On the basis of just several pictures of the transparent object, our algorithm eliminates the necessity for precise geometric...
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