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Data provenance is the lineage of a digital artifact or object. Its capture in workflow-controlled distributed applications is well studied but less is known about quality of provenance captured solely through existing control infrastructures (i.e., middleware frameworks used for high throughput computing). We study completeness of provenance in case where information is only available from the middleware...
Input-output tables provide a complete picture of the flows of products and services in the economy for a given year. Data mining is the process of analyzing data to discover patterns and relationships, which allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Based on Chinese input-output tables of Statistical Yearbook...
Comet is to describe the web application model that a web server pushes the data to a browser using a long-held HTTP request. Electric power web system is a typical application of this kind. This paper introduced several kinds of technologies to implement Comet, and how to carry out the electric power web system using pushlet framework. Our results from test software LoadRunner indicate that the newly...
We present a dynamic partitioning strategy that selects test cases using online feedback information. The presented strategy differs from conventional approaches. Firstly, the partitioning is carried out online rather than off-line. Secondly, the partitioning is not based on program code or specifications; instead, it is simply based on the fail or pass information of previously executed test cases...
QuikScan is an innovative document format aimed at facilitating reading and information navigation in documents. It employs multiple within-document summaries formatted as numbered list items to summarize the gist of each section of a document. The presence of the summaries, with a fine level of granularity, enables readers to skim for the superordinate ideas of each section and locate particular...
A novel range-free localization approach, smallest enclosing Circle based Localization (SECL), has been proposed. This approach uses the center of smallest enclosing circle of neighboring anchor nodes to estimate the position of target. Comparing to centroid, SECL considers the geometrical coverage of anchors rather than the mass center of them. Consequently, SECL is robust to imperfect topology,...
In this paper, based on analysis of gabor-filters parameters, it selects filters which have multi-scale and multi-orientation parameters, extract texture features from the convolution results that use these filters and Ancient porcelain shards Images, and reduce feature-data??s dimensions based on principal component analysis (PCA). At last, use nearest neighbor method classifies shards, automatically...
Swallowable capsule with wireless data transferring enables diagnostic of whole gastrointestinal track (GI) without invasive surgical operation. The capsule travels through GI driven by natural perilstatics. Sensors in the capsule can collect data and send them wirelessly to a receiver outside of the body. Irritable Bowel Syndrome (IBS) is a common functional disease in western society. The objective...
The model for precise description and measurement of user profile was studied through adopting the technology of knowledge discovery from database. The news browsing manner of users was analyzed, while news similarity was computed based on users' reading style, then the model for user profile was generated by the mining algorithm. The experiments showed that this model worked very well in describing...
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