This article presents a Radial Basis Neural Network (RBNN) based islanding detection technique. Islanding detection and prevention is a mandatory requirement for grid-connected distributed generation (DG) systems. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method ...

This paper presents a new islanding detection method based on the difference of the power transfer angle between the distributed generation and local load. After islanding, current id and iq will be changed by adding the variation to d_q transformation block of current. This makes voltage and frequency disturbance and therefore islanding is recognized. Active islanding detection method usually ...

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The process of producing microarray data involves multiple steps, some of which may suffer from technical problems and seriously damage the quality of the data. Thus, it is essential to identify those arrays with low quality. Our Mahalanobis Distance Quality Control (MDQC) is a multivariate quality assessment method for microarrays that is based on the similarity of quality measures across arra...

An important problem in data mining is detecting significant and actionable changes in large, complex data sets. Although there are a variety of change detection algorithms that have been developed, in practice it can be a problem to scale these algorithms to large data sets due to the heterogeneity of the data. In this paper, we describe a case study involving payment card data in which we bui...

The problems associated to data quality is an increasingly growing concern. Throughout this document we will focus on a specific data quality problem: the existence of approximate duplicate records. Data cleaning aims at correcting data quality problems that can be found in various situations. There are some data cleaning tools that address these data quality problems. One of the tasks of a dat...

Data quality is a key factor for economical success. It is usually defined as a set of properties of data, such as completeness, accessibility, relevance, and conciseness. The latter includes the absence of multiple representations for same real world objects. To avoid such duplicates, there is a wide range of commercial products and customized self-coded software. These programs can be quite e...

Evaluation of flat-panel angiography equipment through conventional image quality metrics is limited by the scope of standard spatial-domain image quality metric(s), such as contrast-to-noise ratio and spatial resolution, or by restricted access to appropriate data to calculate Fourier domain measurements, such as modulation transfer function, noise power spectrum, and detective quantum efficie...