By Khalid Raza, Rafat Parveen (auth.), Natarajan Meghanathan, Dhinaharan Nagamalai, Nabendu Chaki (eds.)
The foreign convention on Advances in Computing and data know-how (ACITY 2012) presents an exceptional foreign discussion board for either teachers and execs for sharing wisdom and leads to thought, technique and functions of computing device technology and knowledge expertise. the second one foreign convention on Advances in Computing and knowledge know-how (ACITY 2012), held in Chennai, India, in the course of July 13-15, 2012, lined a few issues in all significant fields of laptop technological know-how and knowledge know-how together with: networking and communications, community protection and functions, internet and net computing, ubiquitous computing, algorithms, bioinformatics, electronic photograph processing and development acceptance, synthetic intelligence, gentle computing and functions. Upon a power overview strategy, a couple of fine quality, providing not just leading edge principles but additionally a based evaluate and a powerful argumentation of an analogous, have been chosen and picked up within the current complaints, that's composed of 3 diversified volumes.
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Extra resources for Advances in Computing and Information Technology: Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India - Volume 3
Here, we propose a novel hub identifying algorithm which relies on the use of conformational, physiochemical and pattern characteristics of amino acid sequences. In order to extract the most potential features, two feature selection techniques, CFS (Correlationbased Feature Selection) and ReliefF algorithms were used, which are widely used in data preprocessing for machine learning problems. The performance of two types of neural network classifiers such as RBF network and multilayer perceptron were evaluated with these filtering approaches.
Also, the decision rules generated from discrete features are easier to understand for both users and experts. The algorithms for reduct generation, discretization and rule generation can find in the paper published by the authors Bag et al. . 3 Electronic Nose for Black Tea Quality Estimation In this section, a brief description of the electronic nose instrument for tea quality estimation and the experiment with tea samples are presented. 1 Customized Electronic Nose Setup for Black Tea A customized electronic nose setup has been developed for quality evaluation of tea aroma, the details of which are presented in .
4], where the efficacy of electronic nose systems in classifying black tea aroma in different processing stages was demonstrated. Correlation of electronic nose data with the tea taster marks has been successfully carried out in . The electronic nose has demonstrated its usefulness in monitoring the aroma of black tea during the fermentation process . In these systems, the MOS sensors with headspace sampling have been used for aroma characterization of tea, but there are uncertainty and vagueness in the data set generated by these sensors.