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Computational Intelligence and Signal Processing (CISP), 2012 2nd National Conference on

Date 2-3 March 2012

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Displaying Results 1 - 25 of 45
  • [Front cover]

    Publication Year: 2012, Page(s): 1
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  • [Back cover]

    Publication Year: 2012, Page(s): 1
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  • Front inside cover]

    Publication Year: 2012, Page(s): 1
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  • [Copyright notice]

    Publication Year: 2012, Page(s): 1
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  • Foreword

    Publication Year: 2012, Page(s): 1
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  • Preface

    Publication Year: 2012, Page(s): 2
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  • Reviewers

    Publication Year: 2012, Page(s):3 - 6
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  • Assam Don Bosco University

    Publication Year: 2012, Page(s): 7
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  • Contents

    Publication Year: 2012, Page(s):8 - 9
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  • Dimensionality reduction in a connectionist framework

    Publication Year: 2012, Page(s): 10
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  • On a framework for analyzing cloud system performance

    Publication Year: 2012, Page(s): 11
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  • MIMO channel modelling: Suitability between Neuro-Fuzzy and Fuzzy-Neural approaches

    Publication Year: 2012, Page(s):12 - 17
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (718 KB) | HTML iconHTML

    Multi-Input-Multi-Output (MIMO) wireless technology is one of the choices to meet high bandwidth data transmission requirements. However, MIMO channel modelling poses certain amount of challenges due to interference and correlation. Fuzzy-based systems are well suited for such applications due to their ability to deal with uncertainty. Fuzzy systems rely upon Artificial Neural Network (ANN) to exe... View full abstract»

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  • Power system optimization

    Publication Year: 2012, Page(s):18 - 21
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (117 KB) | HTML iconHTML

    Electric power systems have experienced continuous growth in all the three major sectors of the power system namely, generation, transmission and distribution. Electricity cannot be stored economically, but there has to be continuous balance between demand and supply. The increase in load sizes and operational complexity such as generation allocation, non-utility generation planning, and pricing b... View full abstract»

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  • Genetic Algorithms: Basic principles and applications

    Publication Year: 2012, Page(s): 22
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (39 KB) | HTML iconHTML

    Summary form only given. Genetic Algorithms are a part of Soft Computing Techniques that deal with function optimization. The basic principles of Genetic Algorithms are stated. Its stochastic nature and various genetic operators are discussed in this paper. Some basic issues (e.g., convergence) related to these algorithms are also discussed. View full abstract»

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  • Secure and energy-efficient data aggregation in Wireless Sensor Networks

    Publication Year: 2012, Page(s): 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (42 KB) | HTML iconHTML

    Data aggregation in intermediate nodes (called aggregator nodes) is an effective approach for optimizing consumption of scarce resources like bandwidth and energy in Wireless Sensor Networks (WSNs). However, in-network processing poses a problem for the privacy of the sensor data since individual data of sensor nodes need to be known to the aggregator node before the aggregation process can be car... View full abstract»

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  • Time series analysis and signal processing

    Publication Year: 2012, Page(s): 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (39 KB) | HTML iconHTML

    Summary form only given. Time series analysis is the analysis of the data collected sequentially in time. These data are usually represented as linear/nonlinear discrete-time models. The time-series models are used to analyse and predict the data. A linear time series is modeled by linear difference equations involving the time series and the white noise or the innovation process. Such ARMA(p, q) ... View full abstract»

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  • Vocal emotion recognition in five native languages of Assam using prosodic features in presence of white noise

    Publication Year: 2012, Page(s): 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (57 KB)

    Summary form only given. This work investigates whether vocal emotion expressions of (i) discrete emotion be distinguished from `no-emotion' (i.e. neutral), (ii) one discrete emotion be distinguished from another, (iii) surprise, which is actually a cognitive component that could be present with any emotion, be also recognized as distinct emotion, (iv) discrete emotion be recognized cross-linguall... View full abstract»

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  • Optimization problems and techniques

    Publication Year: 2012, Page(s): 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (38 KB) | HTML iconHTML

    Summary form only given. An overview of various kinds of optimization problems will be given with examples in the world of applications. Some classical methods of solving such problems, for example, greedy algorithms, dynamic programming, method of steepest descent etc will be mentioned. The notion of polynomial-time algorithms and their importance will be explained. Some examples of optimization ... View full abstract»

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  • Bispectrum analysis of EEG for motor imagery based BCI

    Publication Year: 2012, Page(s): 27
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (42 KB) | HTML iconHTML

    Summary form only given. Electroencephalography (EEG) is the recording of electrical activity of the brain from multiple electrodes placed on the scalp. Recent years have seen a surge of research in the use of EEG for control of an output device such as a computer application or a neuro-prosthesis. Motor imagery (MI), the mental process by which an individual rehearses or simulates an action induc... View full abstract»

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  • A simple variant of Integrate-and-Fire model of neuron for application in neuronal area

    Publication Year: 2012, Page(s):28 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (147 KB) | HTML iconHTML

    Though the Hodgkin-Huxley (H-H) type models can reproduce electrophysiological measurements to a high degree of accuracy, its intrinsic complexity restricts its use in describing neural network dynamics. For this reason, many phenomenological spiking neuron models such as Integrate-and-Fire (I&F) models have been developed in the past to discuss aspects of neural coding, memory, or network dyn... View full abstract»

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  • Fuzzy C-means clustering based uncertainty measure for sample weighting boosts pattern classification efficiency

    Publication Year: 2012, Page(s):31 - 35
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (124 KB) | HTML iconHTML

    The paper presents a fuzzy c-means clustering based fuzzy measure for weighting samples in a dataset for pattern classification. The method improves classification efficiency. The fuzzy c-means generated membership grades of a sample for belonging to different clusters are interpreted as measures of uncertainty for assigning specific crisp class label to this sample. The fuzzy measure of total unc... View full abstract»

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  • Maximal Ratio Combining using ANN-assisted equalisation in wireless channels

    Publication Year: 2012, Page(s):36 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (210 KB) | HTML iconHTML

    The work is related to the use of Artificial Neural Network (ANN) assisted equalization as an aid to Maximal Ratio Combining (MRC) in order to improve bit error rate (BER) values of demodulated signals in wireless channels that have both Gaussian and multipath fading characteristics. Modulation technique used in this work is Bipolar Phase Shift Keying (BPSK) in Gaussian and multipath Rayleigh fadi... View full abstract»

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  • Hybrid features based face recognition method using Artificial Neural Network

    Publication Year: 2012, Page(s):40 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    Face recognition is a biometric tool for authentication and verification having both research and practical relevance. A facial recognition based verification system can further be deemed a computer application for automatically identifying or verifying a person in a digital image. Varied and innovative face recognition systems have been developed thus far with widely accepted algorithms. The two ... View full abstract»

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  • A new method for determining the load margin of an interconnected power system

    Publication Year: 2012, Page(s):51 - 56
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (676 KB) | HTML iconHTML

    The paper describes a new method for determining critical load for a bus with respect to its voltage collapse limit of an interconnected multi-bus power system. For this purpose, network partitioning technique is used to transform load flow Jocobian matrix into a two by two matrix with respect to a selected/target bus and a procedure has been developed to determine load margin of the target bus us... View full abstract»

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  • Optimal size and location of distributed generations using Differential Evolution (DE)

    Publication Year: 2012, Page(s):57 - 61
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (246 KB) | HTML iconHTML

    To improve the overall efficiency of power system, the performance of distribution system must be improved. This paper presents a new methodology using Differential Evolution (DE) for the placement of DG units in electrical distribution systems to reduce the power losses and to improve the voltage profile. Unlike the conventional evolutionary algorithms that depend on predefined probability distri... View full abstract»

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