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The behavior of many physical and biological processes and systems can be described satisfactorily by fractional order models. A new method, termed fractional linear prediction (FLP) based on fractional calculus, is used to model ictal and seizure-free EEG signals. Through numerical simulations it is demonstrated that, the EEG signal can be modeled accurately, by using a few integrals of fractional...
Karnatic Music (KM) is distinct because of the prevalence of gamaka — embellishments to musical notes in the form of frequency traversals. Another important aspect of KM is that the performance style is mostly extempore. Hence, Music Information Retrieval (MIR) tasks in the context of KM are highly challenging. This paper deals with the task of Audio Segmentation and its application to MIR challenges...
The aim of clustering is to discover the clusters based on the similarity features of objects. The present algorithm of visual access tendency (VAT) can access an exact number of clusters by its VAT image. The VAT image displays the squared shaped dark blocks along the diagonal; number of cluster information is accessed by counting the number of obtaining square blocks. Other extended versions are...
Gene expression data generated from microarray experiments are characterized by large number of genes or dimensions. Informative gene selection for performing clustering to discover useful phenotypes is a major issue as there is no class information available. In this paper, we propose a wrapper based feature selection approach to perform sample based clustering on gene expression data. The proposed...
This paper proposes a low cost method for the estimation of blood parameters using photo-plethysmography (PPG) technique. Data is obtained non-invasively from the fingertip, which is processed to estimate the heart rate and the hemoglobin concentration. The signal received from fingertip is first processed via analog filters and the output is sent to a computer through a microcontroller interface...
A new fuzzy c-means clustering with non-extensive entropy regularization is proposed in this paper. The purpose of entropy regularization is to form approximate solutions of singular problems in the maximum entropy framework. The non-extensive entropy with Gaussian gain is generally used for identifying non-uniform probability densities as in regular texture patterns. It is thus well suited for regularizing...
Positioning techniques are known in a wide variety of wireless radio access technologies. Traditionally, Global Positioning System (GPS) is the most popular outdoor positioning system. Localization also exists in mobile networks such as Global System for Mobile communications (GSM). Recently, Wireless Local Area Networks (WLAN) become widely deployed, and they are also used for localizing wireless-enabled...
Online dynamic security assessment involves analyzing the effect of a large number of contingencies in a short time. This is a computationally demanding task, and use of energy function method reduces the computational burden. Energy function method involves determination of a quantity called critical energy which requires system simulation for a short duration. In spite of the use of energy function...
Histopathological examination is the gold standard for many kinds of cancer diagnosis as the histopathology slides provide a cellular level view of the disease. Computer-aided automated diagnosis techniques have recently been developed based on the analysis of skin histopathological images to diagnose skin cancer. Due to the very high resolution characteristics of the skin whole slide images, the...
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