Computational intelligence in data mining (vol 2) jain, behera, mandal mohapatra 2014 12 11

32
Editors

SMART INNOVATION,
SYSTEMS AND TECHNOLOGIES

Lakhmi C. Jain
Himansu Sekhar Behera
Jyotsna Kumar Mandal
Durga Prasad Mohapatra

Computational
Intelligence in Data
Mining - Volume 2
Proceedings of the International Conference
on CIDM, 20-21 December 2014


Smart Innovation, Systems and Technologies
Volume 32

Series editors
Robert J. Howlett, KES International, Shoreham-by-Sea, UK
e-mail:
Lakhmi C. Jain, University of Canberra, Canberra, Australia, and
University of South Australia, Adelaide, Australia
e-mail:


About this Series
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Lakhmi C. Jain Himansu Sekhar Behera
Jyotsna Kumar Mandal
Durga Prasad Mohapatra
•

•

Editors

Computational Intelligence
in Data Mining - Volume 2
Proceedings of the International Conference
on CIDM, 20-21 December 2014

123


Editors
Lakhmi C. Jain
University of Canberra
Canberra
Australia
and
University of South Australia
Adelaide, SA
Australia
Himansu Sekhar Behera
Department of Computer Science
and Engineering
Veer Surendra Sai University
of Technology
Sambalpur, Odisha
India

Jyotsna Kumar Mandal
Department of Computer Science
and Engineering
Kalyani University

Nadia, West Bengal
India
Durga Prasad Mohapatra
Department of Computer Science
and Engineering
National Institute of Technology Rourkela
Rourkela
India

ISSN 2190-3018
ISSN 2190-3026 (electronic)
Smart Innovation, Systems and Technologies
ISBN 978-81-322-2207-1
ISBN 978-81-322-2208-8 (eBook)
DOI 10.1007/978-81-322-2208-8
Library of Congress Control Number: 2014956493
Springer New Delhi Heidelberg New York Dordrecht London
© Springer India 2015
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Springer (India) Pvt. Ltd. is part of Springer Science+Business Media (www.springer.com)


Preface

The First International Conference on “Computational Intelligence in Data Mining
(ICCIDM-2014)” was hosted and organized jointly by the Department of Computer
Science and Engineering, Information Technology and MCA, Veer Surendra Sai
University of Technology, Burla, Sambalpur, Odisha, India between 20 and 21
December 2014. ICCIDM is an international interdisciplinary conference covering
research and developments in the fields of Data Mining, Computational Intelligence, Soft Computing, Machine Learning, Fuzzy Logic, and a lot more. More than
550 prospective authors had submitted their research papers to the conference.
ICCIDM selected 192 papers after a double blind peer review process by experienced subject expertise reviewers chosen from the country and abroad. The
proceedings of ICCIDM is a nice collection of interdisciplinary papers concerned in
various prolific research areas of Data Mining and Computational Intelligence. It
has been an honor for us to have the chance to edit the proceedings. We have
enjoyed considerably working in cooperation with the International Advisory,
Program, and Technical Committees to call for papers, review papers, and finalize
papers to be included in the proceedings.
This International Conference ICCIDM aims at encompassing a new breed of
engineers, technologists making it a crest of global success. It will also educate the
youth to move ahead for inventing something that will lead to great success. This
year’s program includes an exciting collection of contributions resulting from a
successful call for papers. The selected papers have been divided into thematic
areas including both review and research papers which highlight the current focus
of Computational Intelligence Techniques in Data Mining. The conference aims at
creating a forum for further discussion for an integrated information field incorporating a series of technical issues in the frontier analysis and design aspects of
different alliances in the related field of Intelligent computing and others. Therefore
the call for paper was on three major themes like Methods, Algorithms, and Models

in Data mining and Machine learning, Advance Computing and Applications.
Further, papers discussing the issues and applications related to the theme of the
conference were also welcomed at ICCIDM.

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Preface

The proceedings of ICCIDM have been released to mark this great day in
ICCIDM which is a collection of ideas and perspectives on different issues and
some new thoughts on various fields of Intelligent Computing. We hope the
author’s own research and opinions add value to it. First and foremost are the
authors of papers, columns, and editorials whose works have made the conference a
great success. We had a great time putting together this proceedings. The ICCIDM
conference and proceedings are a credit to a large group of people and everyone
should be there for the outcome. We extend our deep sense of gratitude to all for
their warm encouragement, inspiration, and continuous support for making it
possible.
Hope all of us will appreciate the good contributions made and justify our
efforts.


Acknowledgments

The theme and relevance of ICCIDM has attracted more than 550 researchers/
academicians around the globe, which enabled us to select good quality papers and
serve to demonstrate the popularity of the ICCIDM conference for sharing ideas

and research findings with truly national and international communities. Thanks to
all who have contributed in producing such a comprehensive conference
proceedings of ICCIDM.
The organizing committee believes and trusts that we have been true to the spirit
of collegiality that members of ICCIDM value, even as maintaining an elevated
standard as we have reviewed papers, provided feedback, and present a strong body
of published work in this collection of proceedings. Thanks to all the members
of the Organizing committee for their heartfelt support and cooperation.
It has been an honor for us to edit the proceedings. We have enjoyed considerably working in cooperation with the International Advisory, Program, and
Technical Committees to call for papers, review papers, and finalize papers to be
included in the proceedings.
We express our sincere thanks and obligations to the benign reviewers for
sparing their valuable time and effort in reviewing the papers along with suggestions and appreciation in improvising the presentation, quality, and content of this
proceedings. Without this commitment it would not be possible to have the
important reviewer status assigned to papers in the proceedings. The eminence
of these papers is an accolade to the authors and also to the reviewers who have
guided for indispensable perfection.
We would like to gratefully acknowledge the enthusiastic guidance and continuous support of Prof. (Dr.) Lakhmi Jain, as and when it was needed as well as
adjudicating on those difficult decisions in the preparation of the proceedings and
impetus to our efforts to publish this proceeding.
Last but not the least, the editorial members of Springer Publishing deserve a
special mention and our sincere thanks to them not only for making our dream
come true in the shape of this proceedings, but also for its brilliant get-up and
in-time publication in Smart, Innovation, System and Technologies, Springer.

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Acknowledgments

I feel honored to express my deep sense of gratitude to all members of International
Advisory Committee, Technical Committee, Program Committee, Organizing
Committee, and Editorial Committee members of ICCIDM for their unconditional
support and cooperation.
The ICCIDM conference and proceedings are a credit to a large group of people
and everyone should be proud of the outcome.
Himansu Sekhar Behera


About the Conference

The International Conference on “Computational Intelligence in Data Mining”
(ICCIDM-2014) has been established itself as one of the leading and prestigious
conference which will facilitate cross-cooperation across the diverse regional
research communities within India as well as with other International regional
research programs and partners. Such an active dialogue and discussion among
International and National research communities is required to address many new
trends and challenges and applications of Computational Intelligence in the field of
Science, Engineering and Technology. ICCIDM 2014 is endowed with an opportune forum and a vibrant platform for researchers, academicians, scientists, and
practitioners to share their original research findings and practical development
experiences on the new challenges and budding confronting issues.
The conference aims to:
• Provide an insight into current strength and weaknesses of current applications as
well as research findings of both Computational Intelligence and Data Mining.
• Improve the exchange of ideas and coherence between the various Computational
Intelligence Methods.
• Enhance the relevance and exploitation of data mining application areas for enduser as well as novice user application.
• Bridge research with practice that will lead to a fruitful platform for the development of Computational Intelligence in Data mining for researchers and

practitioners.
• Promote novel high quality research findings and innovative solutions to the
challenging problems in Intelligent Computing.
• Make a tangible contribution to some innovative findings in the field of data
mining.
• Provide research recommendations for future assessment reports.

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About the Conference

So, we hope the participants will gain new perspectives and views on current
research topics from leading scientists, researchers, and academicians around the
world, contribute their own ideas on important research topics like Data Mining and
Computational Intelligence, as well as network and collaborate with their international counterparts.


Conference Committee

Patron
Prof. E. Saibaba Reddy
Vice Chancellor, VSSUT, Burla, Odisha, India
Convenor
Dr. H.S. Behera
Department of CSE and IT, VSSUT, Burla, Odisha, India
Co-Convenor
Dr. M.R. Kabat

Department of CSE and IT, VSSUT, Burla, Odisha, India
Organizing Secretary
Mr. Janmenjoy Nayak, DST INSPIRE Fellow, Government of India

Conference Chairs
Honorary General Chair
Prof. P.K. Dash, Ph.D., D.Sc., FNAE, SMIEEE, Director
Multi Disciplinary Research Center, S ‘O’A University, India
Prof. Lakhmi C. Jain, Ph.D., M.E., B.E.(Hons), Fellow (Engineers Australia),
University of Canberra, Canberra, Australia and University of South Australia,
Adelaide, SA, Australia
Honorary Advisory Chair
Prof. Shankar K. Pal, Distinguished Professor
Indian Statistical Institute, Kolkata, India
General Chair
Prof. Rajib Mall, Ph.D., Professor and Head
Department of Computer Science and Engineering, IIT Kharagpur, India
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Conference Committee

Program Chairs
Dr. Sukumar Mishra, Ph.D., Professor
Department of EE, IIT Delhi, India
Dr. R.P. Panda, Ph.D., Professor
Department of ETC, VSSUT, Burla, Odisha, India
Dr. J.K. Mandal, Ph.D., Professor

Department of CSE, University of Kalyani, Kolkata, India
Finance Chair
Dr. D. Dhupal, Coordinator, TEQIP, VSSUT, Burla
Volume Editors
Prof. Lakhmi C. Jain, Ph.D., M.E., B.E.(Hons), Fellow (Engineers Australia),
University of Canberra, Canberra, Australia and University of South Australia,
Adelaide, SA, Australia
Prof. H.S. Behera, Reader, Department of Computer Science Engineering and
Information Technology, Veer Surendra Sai University of Technology, Burla,
Odisha, India
Prof. J.K. Mandal, Professor, Department of Computer Science and Engineering,
University of Kalyani, Kolkata, India
Prof. D.P. Mohapatra, Associate Professor, Department of Computer Science and
Engineering, NIT, Rourkela, Odisa, India

International Advisory Committee
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.
Prof.

Prof.
Prof.
Prof.
Prof.

C.R. Tripathy (VC, Sambalpur University)
B.B. Pati (VSSUT, Burla)
A.N. Nayak (VSSUT, Burla)
S. Yordanova (STU, Bulgaria)
P. Mohapatra (University of California)
S. Naik (University of Waterloo, Canada)
S. Bhattacharjee (NIT, Surat)
G. Saniel (NIT, Durgapur)
K.K. Bharadwaj (JNU, New Delhi)
Richard Le (Latrob University, Australia)
K.K. Shukla (IIT, BHU)
G.K. Nayak (IIIT, BBSR)
S. Sakhya (TU, Nepal)
A.P. Mathur (SUTD, Singapore)
P. Sanyal (WBUT, Kolkata)
Yew-Soon Ong (NTU, Singapore)
S. Mahesan (Japfna University, Srilanka)
B. Satapathy (SU, SBP)


Conference Committee

Prof. G. Chakraborty (IPU, Japan)
Prof. T.S. Teck (NU, Singapore)
Prof. P. Mitra (P.S. University, USA)

Prof. A. Konar (Jadavpur University)
Prof. S. Das (Galgotias University)
Prof. A. Ramanan (UJ, Srilanka)
Prof. Sudipta Mohapatra, (IIT, KGP)
Prof. P. Bhattacharya (NIT, Agaratala)
Prof. N. Chaki (University of Calcutta)
Dr. J.R. Mohanty, (Registrar, VSSUT, Burla)
Prof. M.N. Favorskaya (SibSAU)
Mr. D. Minz (COF, VSSUT, Burla)
Prof. L.M. Patnaik (DIAT, Pune)
Prof. G. Panda (IIT, BHU)
Prof. S.K. Jena (NIT, RKL)
Prof. V.E. Balas (University of Arad)
Prof. R. Kotagiri (University of Melbourne)
Prof. B.B. Biswal (NIT, RKL)
Prof. Amit Das (BESU, Kolkata)
Prof. P.K. Patra (CET, BBSR)
Prof. N.G.P.C Mahalik (California)
Prof. D.K. Pratihar (IIT, KGP)
Prof. A. Ghosh (ISI, Kolkata)
Prof. P. Mitra (IIT, KGP)
Prof. P.P. Das (IIT, KGP)
Prof. M.S. Rao (JNTU, HYD)
Prof. A. Damodaram (JNTU, HYD)
Prof. M. Dash (NTU, Singapore)
Prof. I.S. Dhillon (University of Texas)
Prof. S. Biswas (IIT, Bombay)
Prof. S. Pattnayak (S‘O’A, BBSR)
Prof. M. Biswal (IIT, KGP)
Prof. Tony Clark (M.S.U, UK)

Prof. Sanjib ku. Panda (NUS)
Prof. G.C. Nandy (IIIT, Allahabad)
Prof. R.C. Hansdah (IISC, Bangalore)
Prof. S.K. Basu (BHU, India)
Prof. P.K. Jana (ISM, Dhanbad)
Prof. P.P. Choudhury (ISI, Kolkata)
Prof. H. Pattnayak (KIIT, BBSR)
Prof. P. Srinivasa Rao (AU, Andhra)

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Conference Committee

International Technical Committee
Dr. Istvan Erlich, Ph.D., Chair Professor, Head
Department of EE and IT, University of DUISBURG-ESSEN, Germany
Dr. Torbjørn Skramstad, Professor
Department of Computer and System Science, Norwegian University
of Science and Technology, Norway
Dr. P.N. Suganthan, Ph.D., Associate Professor
School of EEE, NTU, Singapore
Prof. Ashok Pradhan, Ph.D., Professor
Department of EE, IIT Kharagpur, India
Dr. N.P. Padhy, Ph.D., Professor
Department of EE, IIT, Roorkee, India
Dr. B. Majhi, Ph.D., Professor
Department of Computer Science and Engineering, N.I.T Rourkela

Dr. P.K. Hota, Ph.D., Professor
Department of EE, VSSUT, Burla, Odisha, India
Dr. G. Sahoo, Ph.D., Professor
Head, Department of IT, B.I.T, Meshra, India
Dr. Amit Saxena, Ph.D., Professor
Head, Department of CS and IT, CU, Bilashpur, India
Dr. Sidhartha Panda, Ph.D., Professor
Department of EEE, VSSUT, Burla, Odisha, India
Dr. Swagatam Das, Ph.D., Associate Professor
Indian Statistical Institute, Kolkata, India
Dr. Chiranjeev Kumar, Ph.D., Associate Professor and Head
Department of CSE, Indian School of Mines (ISM), Dhanbad
Dr. B.K. Panigrahi, Ph.D., Associate Professor
Department of EE, IIT Delhi, India
Dr. A.K. Turuk, Ph.D., Associate Professor
Head, Department of CSE, NIT, RKL, India
Dr. S. Samantray, Ph.D., Associate Professor
Department of EE, IIT BBSR, Odisha, India
Dr. B. Biswal, Ph.D., Professor
Department of ETC, GMRIT, A.P., India
Dr. Suresh C. Satpathy, Professor, Head
Department of Computer Science and Engineering, ANITS, AP, India
Dr. S. Dehuri, Ph.D., Associate Professor
Department of System Engineering, Ajou University, South Korea
Dr. B.B. Mishra, Ph.D., Professor,
Department of IT, S.I.T, BBSR, India
Dr. G. Jena, Ph.D., Professor
Department of CSE, RIT, Berhampu, Odisha, India
Dr. Aneesh Krishna, Assistant Professor
Department of Computing, Curtin University, Perth, Australia

Conference Committee

Dr. Ranjan Behera, Ph.D., Assistant Professor
Department of EE, IIT, Patna, India
Dr. A.K. Barisal, Ph.D., Reader
Department of EE, VSSUT, Burla, Odisha, India
Dr. R. Mohanty, Reader
Department of CSE, VSSUT, Burla

Conference Steering Committee
Publicity Chair
Prof. A. Rath, DRIEMS, Cuttack
Prof. B. Naik, VSSUT, Burla
Mr. Sambit Bakshi, NIT, RKL
Logistic Chair
Prof. S.P. Sahoo, VSSUT, Burla
Prof. S.K. Nayak, VSSUT, Burla
Prof. D.C. Rao, VSSUT, Burla
Prof. K.K. Sahu, VSSUT, Burla
Organizing Committee
Prof. D. Mishra, VSSUT, Burla
Prof. J. Rana, VSSUT, Burla
Prof. P.K. Pradhan, VSSUT, Burla
Prof. P.C. Swain, VSSUT, Burla
Prof. P.K. Modi, VSSUT, Burla
Prof. S.K. Swain, VSSUT, Burla
Prof. P.K. Das, VSSUT, Burla
Prof. P.R. Dash, VSSUT, Burla

Prof. P.K. Kar, VSSUT, Burla
Prof. U.R. Jena, VSSUT, Burla
Prof. S.S. Das, VSSUT, Burla
Prof. Sukalyan Dash, VSSUT, Burla
Prof. D. Mishra, VSSUT, Burla
Prof. S. Aggrawal, VSSUT, Burla
Prof. R.K. Sahu, VSSUT, Burla
Prof. M. Tripathy, VSSUT, Burla
Prof. K. Sethi, VSSUT, Burla
Prof. B.B. Mangaraj, VSSUT, Burla
Prof. M.R. Pradhan, VSSUT, Burla
Prof. S.K. Sarangi, VSSUT, Burla
Prof. N. Bhoi, VSSUT, Burla
Prof. J.R. Mohanty, VSSUT, Burla

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Prof. Sumanta Panda, VSSUT, Burla
Prof. A.K. Pattnaik, VSSUT, Burla
Prof. S. Panigrahi, VSSUT, Burla
Prof. S. Behera, VSSUT, Burla
Prof. M.K. Jena, VSSUT, Burla
Prof. S. Acharya, VSSUT, Burla
Prof. S. Kissan, VSSUT, Burla
Prof. S. Sathua, VSSUT, Burla
Prof. E. Oram, VSSUT, Burla
Dr. M.K. Patel, VSSUT, Burla

Mr. N.K.S. Behera, M.Tech. Scholar
Mr. T. Das, M.Tech. Scholar
Mr. S.R. Sahu, M.Tech. Scholar
Mr. M.K. Sahoo, M.Tech. Scholar
Prof. J.V.R. Murthy, JNTU, Kakinada
Prof. G.M.V. Prasad, B.V.CIT, AP
Prof. S. Pradhan, UU, BBSR
Prof. P.M. Khilar, NIT, RKL
Prof. Murthy Sharma, BVC, AP
Prof. M. Patra, BU, Berhampur
Prof. M. Srivastava, GGU, Bilaspur
Prof. P.K. Behera, UU, BBSR
Prof. B.D. Sahu, NIT, RKL
Prof. S. Baboo, Sambalpur University
Prof. Ajit K. Nayak, S‘O’A, BBSR
Prof. Debahuti Mishra, ITER, BBSR
Prof. S. Sethi, IGIT, Sarang
Prof. C.S. Panda, Sambalpur University
Prof. N. Kamila, CVRCE, BBSR
Prof. H.K. Tripathy, KIIT, BBSR
Prof. S.K. Sahana, BIT, Meshra
Prof. Lambodar Jena, GEC, BBSR
Prof. R.C. Balabantaray, IIIT, BBSR
Prof. D. Gountia, CET, BBSR
Prof. Mihir Singh, WBUT, Kolkata
Prof. A. Khaskalam, GGU, Bilaspur
Prof. Sashikala Mishra, ITER, BBSR
Prof. D.K. Behera, TAT, BBSR
Prof. Shruti Mishra, ITER, BBSR
Prof. H. Das, KIIT, BBSR

Mr. Sarat C. Nayak, Ph.D. Scholar
Mr. Pradipta K. Das, Ph.D. Scholar
Mr. G.T. Chandrasekhar, Ph.D. Scholar
Mr. P. Mohanty, Ph.D. Scholar
Mr. Sibarama Panigrahi, Ph.D. Scholar

Conference Committee


Conference Committee

Mr.
Mr.
Mr.
Mr.
Mr.
Mr.

A.K. Bhoi, Ph.D. Scholar
T.K. Samal, Ph.D. Scholar
Ch. Ashutosh Swain, MCA
Nrusingh P. Achraya, MCA
Devi P. Kanungo, M.Tech. Scholar
M.K. Sahu, M.Tech. Scholar

xvii


Contents

Multi-objective Design Optimization of Three-Phase Induction
Motor Using NSGA-II Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Soumya Ranjan and Sudhansu Kumar Mishra

1

A Comparative Study of Different Feature Extraction Techniques
for Offline Malayalam Character Recognition . . . . . . . . . . . . . . . . . . .
Anitha Mary M.O. Chacko and P.M. Dhanya

9

A Context Sensitive Thresholding Technique for Automatic
Image Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Anshu Singla and Swarnajyoti Patra

19

Encryption for Massive Data Storage in Cloud . . . . . . . . . . . . . . . . . .
Veeralakshmi Ponnuramu and Latha Tamilselvan
An Integrated Approach to Improve the Text Categorization
Using Semantic Measures. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
K. Purna Chand and G. Narsimha
An Android-Based Mobile Eye Gaze Point Estimation System
for Studying the Visual Perception in Children with Autism . . . . . . . .
J. Amudha, Hitha Nandakumar, S. Madhura, M. Parinitha Reddy
and Nagabhairava Kavitha

27

39

49

FPGA Implementation of Various Image Processing Algorithms
Using Xilinx System Generator . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
M. Balaji and S. Allin Christe

59

A Study of Interestingness Measures for Knowledge Discovery
in Databases—A Genetic Approach . . . . . . . . . . . . . . . . . . . . . . . . . .
Goyal Garima and Jyoti Vashishtha

69

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Contents

Efficient Recognition of Devanagari Handwritten Text . . . . . . . . . . . .
Teja C. Kundaikar and J.A. Laxminarayana

81

Quality Assessment of Data Using Statistical and Machine
Learning Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Prerna Singh and Bharti Suri

89

Design of Biorthogonal Wavelets Based on Parameterized Filter
for the Analysis of X-ray Images . . . . . . . . . . . . . . . . . . . . . . . . . . . .
P.M.K. Prasad, M.N.V.S.S. Kumar and G. Sasi Bhushana Rao

99

An Efficient Multi-view Based Activity Recognition System
for Video Surveillance Using Random Forest . . . . . . . . . . . . . . . . . . .
J. Arunnehru and M.K. Geetha

111

Position and Orientation Control of a Mobile Robot
Using Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
D. Narendra Kumar, Halini Samalla, Ch. Jaganmohana Rao,
Y. Swamy Naidu, K. Alfoni Jose and B. Manmadha Kumar
Fuzzy C-Means (FCM) Clustering Algorithm: A Decade Review
from 2000 to 2014 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Janmenjoy Nayak, Bighnaraj Naik and H.S. Behera
Character Recognition Using Firefly Based Back Propagation
Neural Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
M.K. Sahoo, Janmenjoy Nayak, S. Mohapatra, B.K. Nayak
and H.S. Behera

123

133

151

Analyzing Data Through Data Fusion Using Classification
Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Elizabeth Shanthi and D. Sangeetha

165

Multi-objective Particle Swarm Optimization in Intrusion
Detection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Nimmy Cleetus and K.A. Dhanya

175

Vision Based Traffic Personnel Hand Gesture Recognition
Using Tree Based Classifiers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
R. Sathya and M. Kalaiselvi Geetha

187

Optimization of the Investment Casting Process Using Genetic
Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sarojrani Pattnaik and Sutar Mihir Kumar

201


Contents

xxi

Cyclostationary Feature Detection Based Spectrum Sensing Technique
of Cognitive Radio in Nakagami-m Fading Environment . . . . . . . . . . .
Deborshi Ghosh and Srijibendu Bagchi

209

A Modified Real Time A* Algorithm and Its Performance Analysis
for Improved Path Planning of Mobile Robot . . . . . . . . . . . . . . . . . . .
P.K. Das, H.S. Behera, S.K. Pradhan, H.K. Tripathy and P.K. Jena

221

Optimum Design and Performance Analysis of Dipole Planar
Array Antenna with Mutual Coupling Using Cuckoo Search
Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Hrudananda Pradhan, Biswa Binayak Mangaraj and Iti Saha Misra

235

Model Based Test Case Generation from UML Sequence
and Interaction Overview Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . .
Ajay Kumar Jena, Santosh Kumar Swain and Durga Prasad Mohapatra

247

Enhancing HMM Based Malayalam Continuous Speech Recognizer
Using Artificial Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Anuj Mohamed and K.N. Ramachandran Nair

259

Classification of Heart Disease Using Naïve Bayes and Genetic
Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Santosh Kumar and G. Sahoo

269

Solution for Traversal Vulnerability and an Encryption-Based
Security Solution for an Inter-cloud Environment . . . . . . . . . . . . . . . .
S. Kirthica and Rajeswari Sridhar

283

Efficient Spread of Influence in Online Social Networks. . . . . . . . . . . .
Gypsy Nandi and Anjan Das

293

Adaptive FIR Filter to Compensate for Speaker Non-linearity . . . . . . .
Varsha Varadarajan, Kinnera Pallavi, Gautam Balgovind
and J. Selvakumar

301

A Pi-Sigma Higher Order Neural Network for Stock Index
Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
S.C. Nayak, B.B. Misra and H.S. Behera

311

Comparison of Statistical Approaches for Tamil to English
Translation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
R. Rajkiran, S. Prashanth, K. Amarnath Keshav and Sridhar Rajeswari

321


xxii

Contents

An Integrated Clustering Framework Using Optimized K-means
with Firefly and Canopies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
S. Nayak, C. Panda, Z. Xalxo and H.S. Behera

333

A Cooperative Intrusion Detection System for Sleep Deprivation
Attack Using Neuro-Fuzzy Classifier in Mobile Ad Hoc Networks . . . .
Alka Chaudhary, V.N. Tiwari and Anil Kumar

345

Improving the Performance of a Proxy Cache Using Expectation
Maximization with Naive Bayes Classifier . . . . . . . . . . . . . . . . . . . . . .
P. Julian Benadit, F. Sagayaraj Francis and U. Muruganantham

355

Comparative Study of On-Demand and Table-Driven Routing
Protocols in MANET . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
G. Kumar Pallai, S. Meenakshi, A. Kumar Rath and B. Majhi

369

A Novel Fast FCM Clustering for Segmentation of Salt
and Pepper Noise Corrupted Images . . . . . . . . . . . . . . . . . . . . . . . . .
B. Srinivasa Rao and E. Srinivasa Reddy

381

Non Linear Autoregressive Model for Detecting Chronic
Alcoholism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Surendra Kumar, Subhojit Ghosh, Suhash Tetarway, Shashank Sawai,
Pillutla Soma Sunder and Rakesh Kumar Sinha
Theoretical Analysis of Expected Population Variance Evolution
for a Differential Evolution Variant . . . . . . . . . . . . . . . . . . . . . . . . . .
S. Thangavelu, G. Jeyakumar, Roshni M. Balakrishnan
and C. Shunmuga Velayutham

393

403

Quantification and 3D Visualization of Articular Cartilage
of Knee Joint Using Image Processing Techniques . . . . . . . . . . . . . . .
M.S. Mallikarjunaswamy, Mallikarjun S. Holi and Rajesh Raman

417

Application of Particle Swarm Optimization and User Clustering
in Web Search. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sumathi Ganesan and Sendhilkumar Selvaraju

427

Analyzing Urban Area Land Coverage Using Image
Classification Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
T. Karthikeyan and P. Manikandaprabhu

439


Contents

xxiii

CALAM: Linguistic Structure to Annotate Handwritten Text Image
Corpus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Prakash Choudhary and Neeta Nain

449

A Novel PSO Based Back Propagation Learning-MLP (PSO-BP-MLP)
for Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Himansu Das, Ajay Kumar Jena, Janmenjoy Nayak, Bighnaraj Naik
and H.S. Behera

Quantum Based Learning with Binary Neural Network . . . . . . . . . . .
Om Prakash Patel and Aruna Tiwari

461

473

Graphene Nano-Ribbon Based Schottky Barrier Diode
as an Electric Field Sensor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Dipan Bandyopadhyay and Subir Kumar Sarkar

483

Dynamic Slicing of Object-Oriented Programs in Presence
of Inheritance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
S.R. Mohanty, M. Sahu, P.K. Behera and D.P. Mohapatra

493

Prediction of Heart Disease Using Classification Based Data
Mining Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sujata Joshi and Mydhili K. Nair

503

An Empirical Analysis of Software Reliability Prediction
Through Reliability Growth Model Using Computational
Intelligence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Manmath Kumar Bhuyan, Durga Prasad Mohapatra, Srinivas Sethi
and Sumit Kar

513

A Harmony Search Based Gradient Descent Learning-FLANN
(HS-GDL-FLANN) for Classification . . . . . . . . . . . . . . . . . . . . . . . . .
Bighnaraj Naik, Janmenjoy Nayak, H.S. Behera and Ajith Abraham

525

Improved AODV Performance in DOS and Black Hole
Attack Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Anurag Gupta, Bhupendra Patel, Kamlesh Rana and Rahul Pradhan

541

Airfoil Self Noise Prediction Using Linear Regression Approach . . . . .
Shiju Sathyadevan and M.A. Chaitra

551

Detection of Outliers in an Unsupervised Environment . . . . . . . . . . . .
M. Ashwini Kumari, M.S. Bhargavi and Sahana D. Gowda

563


xxiv

Contents

Discovering Latent Relationships Among Learning Style Dimensions
Using Association Rule Mining. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
C. Beulah Christalin Latha, E. Kirubakaran and Ranjit Jeba Thangaiah

575

Empirical Analysis of Low Power and High Performance
Multiplier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
K. Hemavathi and G. Manmadha Rao

585

Facial Expression Recognition Using Modified Local Binary
Pattern . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Suparna Biswas and Jaya Sil

595

On Multigranular Approximate Rough Equivalence
of Sets and Approximate Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . .
B.K. Tripathy, Prateek Saraf and S.Ch. Parida

605

Spatial and Temporal Analysis of VOC Concentration in Capital City
of Odisha in Indian Sub-continent . . . . . . . . . . . . . . . . . . . . . . . . . . .
S. Rath, S.K. Pandey, D.P. Sandha, M. Mohapatra, B. Rath,
T. Grahacharya and B.P.S. Sahoo

617

Generating Prioritized Test Sequences Using Firefly Optimization
Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Vikas Panthi and D.P. Mohapatra

627

Directional Multi-scaled Fusion Based Median Filter for Removal
of RVIN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Aparna Sarkar, Suvamoy Changder and J.K. Mandal

637

Design of Area Optimized Sobel Edge Detection . . . . . . . . . . . . . . . . .
Sunil Kumar Kuppili and P.M.K. Prasad
Accelerated FFT Computation for GNU Radio Using GPU
of Raspberry Pi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
S. Sabarinath, R. Shyam, C. Aneesh, R. Gandhiraj and K.P. Soman
Feature Extraction and Performance Analysis of EEG Signal
Using S-Transform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Monorama Swain, Rutuparna Panda, Himansu Mahapatra
and Sneha Tibrewal
Image Super Resolution Reconstruction Using Iterative
Adaptive Regularization Method and Genetic Algorithm . . . . . . . . . . .
S.S. Panda, G. Jena and S.K. Sahu

647

657

665

675


Contents

xxv

Semi-markov Process Based Cooperation Enforcement Mechanism
for MANETs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
J. Sengathir and R. Manoharan

683

Reduction Combination Determination for Efficient Microarray
Data Classification with Three Stage Dimensionality
Reduction Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Rasmita Dash and B.B. Misra
Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

695

705