This paper analyses the multi-objective design of an inductor for a DC-DC buck converter. The core volume and total losses are two competing objectives, which should be minimised while satisfying constraints on required differential inductance profile maximum overheating. optimisation problem is solved by means population-based metaheuristic algorithm based Artificial Immune Systems (AIS). Desp...

In this work we investigate the use of Multi-Objective metaheuristics for the data mining task of clustering. We first investigate methods of evaluating the quality of clustering solutions, we then propose a new Multi-Objective clustering algorithm driven by multiple measures of cluster quality and then perform investigations into the performance of different Multi-Objective clustering algorith...

Many approaches have been proposed for mining fuzzy association rules. The membership functions, which critically influence the final mining results, are difficult to define. In general, multiple criteria are considered when defining membership functions. In this paper, a multi-objective genetic-fuzzy mining algorithm is proposed for extracting membership functions and association rules from qu...

The configuration management repository includes abundant data not only on configuration items, but about the process itself. But meaningful information about the software process is often hidden. This paper presents a method of extracting software process metrics from software repositories. More specifically, the metrics presented use data from the bug or task tracker and from the configuratio...

Abstracl4n this paper a non-reference ohjeclive video quality metric is proposed. The quality metric is obtained by means of a non conventional use of data hiding technique. Test data are embedded in an MPEG-2 video; the basic w m p t i o n is that the data embedded undergo under the same degradation as the host video. To analyze the performance of the system, a comparison between the results o...

The paper discusses the design goals, current architecture and overall experiences gained in the process of building a software tool aiding human analysts in estimating approximate information quality (information accuracy) of an unknown relational data source. We discuss the algorithms and techniques that we found effective. In particular, we discuss the automated reasoning techniques used to ...

With the rapid proliferation of Linked Data on the Web, the topic of Linked Data query processing has recently gained attention. Works in this direction do not assume full availability of SPARQL endpoints. As an alternative to federation over these endpoints, this new querying paradigm follows the Linked Data principles to use only HTTP lookups for accessing and querying Linked Data. Existing w...

Most fielded data integration systems focus on data aggregation applications, where individual data sources all export fragments of a single relation. Given a query, the primary query processing objective in these systems is that of selecting the appropriate subset of sources so as to optimize various user objectives regarding the completeness and quality of the answers and the response time. I...

OBJECTIVE To compare the accuracy of surveillance of severe sepsis using electronic health record clinical data vs claims and to compare incidence and mortality trends using both methods. DESIGN We created an electronic health record-based surveillance definition for severe sepsis using clinical indicators of infection (blood culture and antibiotic orders) and concurrent organ dysfunction (va...