international journal of · prof. (dr.) hamid saremi vice chancellor of islamic azad university of...
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International Journal of Emerging Science and EngineeringEmerging Science and Engineering
ISSN : 2319-6378ISSN : 2319-6378
Website: www.ijese.orgWebsite: www.ijese.org
International Journal of
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gni
gr em
E f o l anr Inu to eJ rl na t anoi
Exploring Innovation
www.ijese.org
IJESEIJESE
Volume-1 Issue-12, October 2013Volume-1 Issue-12, October 2013
Published by: Blue Eyes Intelligence Engineering and Sciences Publication Pvt. Ltd.
Published by: Blue Eyes Intelligence Engineering and Sciences Publication Pvt. Ltd.
EXPLORING INNOVA
TION
Editor In Chief
Dr. Shiv K Sahu
Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT)
Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal(M.P.), India
Dr. Shachi Sahu
Ph.D. (Chemistry), M.Sc. (Organic Chemistry)
Additional Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal(M.P.), India
Vice Editor In Chief
Dr. Vahid Nourani
Professor, Faculty of Civil Engineering, University of Tabriz, Iran
Prof.(Dr.) Anuranjan Misra
Professor & Head, Computer Science & Engineering and Information Technology & Engineering, Noida International University,
Noida (U.P.), India
Chief Advisory Board
Prof. (Dr.) Hamid Saremi
Vice Chancellor of Islamic Azad University of Iran, Quchan Branch, Quchan-Iran
Dr. Uma Shanker
Professor & Head, Department of Mathematics, CEC, Bilaspur(C.G.), India
Dr. Rama Shanker
Professor & Head, Department of Statistics, Eritrea Institute of Technology, Asmara, Eritrea
Dr. Vinita Kumari
Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., India
Dr. Kapil Kumar Bansal
Head (Research and Publication), SRM University, Gaziabad (U.P.), India
Dr. Deepak Garg
Professor, Department of Computer Science and Engineering, Thapar University, Patiala (Punjab), India, Senior Member of IEEE,
Secretary of IEEE Computer Society (Delhi Section), Life Member of Computer Society of India (CSI), Indian Society of Technical
Education (ISTE), Indian Science Congress Association Kolkata.
Dr. Vijay Anant Athavale
Director of SVS Group of Institutions, Mawana, Meerut (U.P.) India/ U.P. Technical University, India
Dr. T.C. Manjunath
Principal & Professor, HKBK College of Engg, Nagawara, Arabic College Road, Bengaluru-560045, Karnataka, India
Dr. Kosta Yogeshwar Prasad
Director, Technical Campus, Marwadi Education Foundation’s Group of Institutions, Rajkot-Morbi Highway, Gauridad, Rajkot,
Gujarat, India
Dr. Dinesh Varshney
Director of College Development Counceling, Devi Ahilya University, Indore (M.P.), Professor, School of Physics, Devi Ahilya
University, Indore (M.P.), and Regional Director, Madhya Pradesh Bhoj (Open) University, Indore (M.P.), India
Dr. P. Dananjayan
Professor, Department of Department of ECE, Pondicherry Engineering College, Pondicherry,India
Dr. Sadhana Vishwakarma
Associate Professor, Department of Engineering Chemistry, Technocrat Institute of Technology, Bhopal(M.P.), India
Dr. Kamal Mehta
Associate Professor, Deptment of Computer Engineering, Institute of Technology, NIRMA University, Ahmedabad (Gujarat), India
Dr. CheeFai Tan
Faculty of Mechanical Engineering, University Technical, Malaysia Melaka, Malaysia
Dr. Suresh Babu Perli
Professor & Head, Department of Electrical and Electronic Engineering, Narasaraopeta Engineering College, Guntur, A.P., India
Dr. Binod Kumar
Associate Professor, Schhool of Engineering and Computer Technology, Faculty of Integrative Sciences and Technology, Quest
International University, Ipoh, Perak, Malaysia
Dr. Chiladze George
Professor, Faculty of Law, Akhaltsikhe State University, Tbilisi University, Georgia
Dr. Kavita Khare
Professor, Department of Electronics & Communication Engineering, MANIT, Bhopal (M.P.), INDIA
Dr. C. Saravanan
Associate Professor (System Manager) & Head, Computer Center, NIT, Durgapur, W.B. India
Dr. S. Saravanan
Professor, Department of Electrical and Electronics Engineering, Muthayamal Engineering College, Resipuram, Tamilnadu, India
Dr. Amit Kumar Garg
Professor & Head, Department of Electronics and Communication Engineering, Maharishi Markandeshwar University, Mulllana,
Ambala (Haryana), India
Dr. T.C.Manjunath
Principal & Professor, HKBK College of Engg, Nagawara, Arabic College Road, Bengaluru-560045, Karnataka, India
Dr. P. Dananjayan
Professor, Department of Department of ECE, Pondicherry Engineering College, Pondicherry, India
Dr. Kamal K Mehta
Associate Professor, Department of Computer Engineering, Institute of Technology, NIRMA University, Ahmedabad (Gujarat), India
Dr. Rajiv Srivastava
Director, Department of Computer Science & Engineering, Sagar Institute of Research & Technology, Bhopal (M.P.), India
Dr. Chakunta Venkata Guru Rao
Professor, Department of Computer Science & Engineering, SR Engineering College, Ananthasagar, Warangal, Andhra Pradesh, India
Dr. Anuranjan Misra
Professor, Department of Computer Science & Engineering, Bhagwant Institute of Technology, NH-24, Jindal Nagar, Ghaziabad,
India
Dr. Robert Brian Smith
International Development Assistance Consultant, Department of AEC Consultants Pty Ltd, AEC Consultants Pty Ltd, Macquarie
Centre, North Ryde, New South Wales, Australia
Dr. Saber Mohamed Abd-Allah
Associate Professor, Department of Biochemistry, Shanghai Institute of Biochemistry and Cell Biology, Yue Yang Road, Shanghai,
China
Dr. Himani Sharma
Professor & Dean, Department of Electronics & Communication Engineering, MLR Institute of Technology, Laxman Reddy Avenue,
Dundigal, Hyderabad, India
Dr. Sahab Singh
Associate Professor, Department of Management Studies, Dronacharya Group of Institutions, Knowledge Park-III, Greater Noida,
India
Dr. Umesh Kumar
Principal: Govt Women Poly, Ranchi, India
Dr. Syed Zaheer Hasan
Scientist-G Petroleum Research Wing, Gujarat Energy Research and Management Institute, Energy Building, Pandit Deendayal
Petroleum University Campus, Raisan, Gandhinagar-382007, Gujarat, India.
Dr. Jaswant Singh Bhomrah
Director, Department of Profit Oriented Technique, 1 – B Crystal Gold, Vijalpore Road, Navsari 396445, Gujarat. India
Technical Advisory Board
Dr. Mohd. Husain
Director MG Institute of Management & Technology, Banthara, Lucknow (U.P.), India
Dr. T. Jayanthy
Principal, Panimalar Institute of Technology, Chennai (TN), India
Dr. Umesh A.S.
Director, Technocrats Institute of Technology & Science, Bhopal(M.P.), India
Dr. B. Kanagasabapathi
Infosys Labs, Infosys Limited, Center for Advance Modeling and Simulation, Infosys Labs, Infosys Limited, Electronics City,
Bangalore, India
Dr. C.B. Gupta
Professor, Department of Mathematics, Birla Institute of Technology & Sciences, Pilani (Rajasthan), India
Dr. Sunandan Bhunia
Associate Professor & Head,, Dept. of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia, West
Bengal, India
Dr. Jaydeb Bhaumik
Associate Professor, Dept. of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia, West Bengal, India
Dr. Rajesh Das
Associate Professor, School of Applied Sciences, Haldia Institute of Technology, Haldia, West Bengal, India
Dr. Mrutyunjaya Panda
Professor & Head, Department of EEE, Gandhi Institute for Technological Development, Bhubaneswar, Odisha, India
Dr. Mohd. Nazri Ismail
Associate Professor, Department of System and Networking, University of Kuala (UniKL), Kuala Lumpur, Malaysia
Dr. Haw Su Cheng
Faculty of Information Technology, Multimedia University (MMU), Jalan Multimedia, 63100 Cyberjaya
Dr. Hossein Rajabalipour Cheshmehgaz
Industrial Modeling and Computing Department, Faculty of Computer Science and Information Systems, Universiti Teknologi
Malaysia (UTM) 81310, Skudai, Malaysia
Dr. Sudhinder Singh Chowhan
Associate Professor, Institute of Management and Computer Science, NIMS University, Jaipur (Rajasthan), India
Dr. Neeta Sharma
Professor & Head, Department of Communication Skils, Technocrat Institute of Technology, Bhopal(M.P.), India
Dr. Ashish Rastogi
Associate Professor, Department of CSIT, Guru Ghansi Das University, Bilaspur (C.G.), India
Dr. Santosh Kumar Nanda
Professor, Department of Computer Science and Engineering, Eastern Academy of Science and Technology (EAST), Khurda (Orisa),
India
Dr. Hai Shanker Hota
Associate Professor, Department of CSIT, Guru Ghansi Das University, Bilaspur (C.G.), India
Dr. Sunil Kumar Singla
Professor, Department of Electrical and Instrumentation Engineering, Thapar University, Patiala (Punjab), India
Dr. A. K. Verma
Professor, Department of Computer Science and Engineering, Thapar University, Patiala (Punjab), India
Dr. Durgesh Mishra
Chairman, IEEE Computer Society Chapter Bombay Section, Chairman IEEE MP Subsection, Professor & Dean (R&D), Acropolis
Institute of Technology, Indore (M.P.), India
Dr. Xiaoguang Yue
Associate Professor, College of Computer and Information, Southwest Forestry University, Kunming (Yunnan), China
Dr. Veronica Mc Gowan
Associate Professor, Department of Computer and Business Information Systems,Delaware Valley College, Doylestown, PA, Allman
China
Dr. Mohd. Ali Hussain
Professor, Department of Computer Science and Engineering, Sri Sai Madhavi Institute of Science & Technology, Rajahmundry
(A.P.), India
Dr. Mohd. Nazri Ismail
Professor, System and Networking Department, Jalan Sultan Ismail, Kaula Lumpur, MALAYSIA
Dr. Sunil Mishra
Associate Professor, Department of Communication Skills (English), Dronacharya College of Engineering, Farrukhnagar, Gurgaon
(Haryana), India
Dr. Labib Francis Gergis Rofaiel
Associate Professor, Department of Digital Communications and Electronics, Misr Academy for Engineering and Technology,
Mansoura City, Egypt
Dr. Pavol Tanuska
Associate Professor, Department of Applied Informetics, Automation, and Mathematics, Trnava, Slovakia
Dr. VS Giridhar Akula
Professor, Avanthi's Research & Technological Academy, Gunthapally, Hyderabad, Andhra Pradesh, India
Dr. S. Satyanarayana
Associate Professor, Department of Computer Science and Engineering, KL University, Guntur, Andhra Pradesh, India
Dr. Bhupendra Kumar Sharma
Associate Professor, Department of Mathematics, KL University, BITS, Pilani, India
Dr. Praveen Agarwal
Associate Professor & Head, Department of Mathematics, Anand International College of Engineering, Jaipur (Rajasthan), India
Dr. Manoj Kumar
Professor, Department of Mathematics, Rashtriya Kishan Post Graduate Degree, College, Shamli, Prabudh Nagar, (U.P.), India
Dr. Shaikh Abdul Hannan
Associate Professor, Department of Computer Science, Vivekanand Arts Sardar Dalipsing Arts and Science College, Aurangabad
(Maharashtra), India
Dr. K.M. Pandey
Professor, Department of Mechanical Engineering,National Institute of Technology, Silchar, India
Prof. Pranav Parashar
Technical Advisor, International Journal of Soft Computing and Engineering (IJSCE), Bhopal (M.P.), India
Dr. Biswajit Chakraborty
MECON Limited, Research and Development Division (A Govt. of India Enterprise), Ranchi-834002, Jharkhand, India
Dr. D.V. Ashoka
Professor & Head, Department of Information Science & Engineering, SJB Institute of Technology, Kengeri, Bangalore, India
Dr. Sasidhar Babu Suvanam
Professor & Academic Cordinator, Department of Computer Science & Engineering, Sree Narayana Gurukulam College of
Engineering, Kadayiuruppu, Kolenchery, Kerala, India
Dr. C. Venkatesh
Professor & Dean, Faculty of Engineering, EBET Group of Institutions, Kangayam, Erode, Caimbatore (Tamil Nadu), India
Dr. Nilay Khare
Assoc. Professor & Head, Department of Computer Science, MANIT, Bhopal (M.P.), India
Dr. Sandra De Iaco
Professor, Dip.to Di Scienze Dell’Economia-Sez. Matematico-Statistica, Italy
Dr. Yaduvir Singh
Associate Professor, Department of Computer Science & Engineering, Ideal Institute of Technology, Govindpuram Ghaziabad,
Lucknow (U.P.), India
Dr. Angela Amphawan
Head of Optical Technology, School of Computing, School Of Computing, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Dr. Ashwini Kumar Arya
Associate Professor, Department of Electronics & Communication Engineering, Faculty of Engineering and Technology,Graphic Era
University, Dehradun (U.K.), India
Dr. Yash Pal Singh
Professor, Department of Electronics & Communication Engg, Director, KLS Institute Of Engg.& Technology, Director, KLSIET,
Chandok, Bijnor, (U.P.), India
Dr. Ashish Jain
Associate Professor, Department of Computer Science & Engineering, Accurate Institute of Management & Technology, Gr. Noida
(U.P.), India
Dr. Abhay Saxena
Associate Professor & Head, Department of Computer Science, Dev Sanskriti University, Haridwar, Uttrakhand, India
Dr. Judy. M.V
Associate Professor, Head of the Department CS &IT, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham,
Brahmasthanam, Edapally, Cochin, Kerala, India
Dr. Sangkyun Kim
Professor, Department of Industrial Engineering, Kangwon National University, Hyoja 2 dong, Chunche0nsi, Gangwondo, Korea
Dr. Sanjay M. Gulhane
Professor, Department of Electronics & Telecommunication Engineering, Jawaharlal Darda Institute of Engineering & Technology,
Yavatmal, Maharastra, India
Dr. K.K. Thyagharajan
Principal & Professor, Department of Informational Technology, RMK College of Engineering & Technology, RSM Nagar,
Thiruyallur, Tamil Nadu, India
Dr. P. Subashini
Assoc. Professor, Department of Computer Science, Coimbatore, India
Dr. G. Srinivasrao
Professor, Department of Mechanical Engineering, RVR & JC, College of Engineering, Chowdavaram, Guntur, India
Dr. Rajesh Verma
Professor, Department of Computer Science & Engg. and Deptt. of Information Technology, Kurukshetra Institute of Technology &
Management, Bhor Sadian, Pehowa, Kurukshetra (Haryana), India
Dr. Pawan Kumar Shukla
Associate Professor, Satya College of Engineering & Technology, Haryana, India
Dr. U C Srivastava
Associate Professor, Department of Applied Physics, Amity Institute of Applied Sciences, Amity University, Noida, India
Dr. Reena Dadhich
Prof. & Head, Department of Computer Science and Informatics, MBS MArg, Near Kabir Circle, University of Kota, Rajasthan, India
Dr. Aashis. S. Roy
Department of Materials Engineering, Indian Institute of Science, Bangalore Karnataka, India
Dr. Sudhir Nigam
Professor Department of Civil Engineering, Principal, Lakshmi Narain College of Technology and Science, Raisen, Road, Bhopal,
(M.P.), India
Dr. S. Senthil Kumar
Doctorate, Department of Center for Advanced Image and Information Technology, Division of Computer Science and Engineering,
Graduate School of Electronics and Information Engineering, Chon Buk National University Deok Jin-Dong, Jeonju, Chon Buk, 561-
756, South Korea Tamilnadu, India
Dr. Gufran Ahmad Ansari
Associate Professor, Department of Information Technology, College of Computer, Qassim University, Al-Qassim, Kingdom of
Saudi Arabia (KSA)
Dr. R. Navaneetha krishnan
Associate Professor, Department of MCA, Bharathiyar College of Engg & Tech, Karaikal Puducherry, India
Dr. Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department, Faculty of Computer Science and Information Systems, Universiti Teknologi Skudai,
Malaysia
Dr. Veronica McGowan
Associate Professor, Department of Computer and Business Information Systems, Delaware Valley College, Doylestown, PA, Allman
China
Dr. Sanjay Sharma
Associate Professor, Department of Mathematics, Bhilai Institute of Technology, Durg, Chhattisgarh, India
Dr. Taghreed Hashim Al-Noor
Professor, Department of Chemistry, Ibn-Al-Haitham Education for pure Science College, University of Baghdad, Iraq
Dr. Madhumita Dash
Professor, Department of Electronics & Telecommunication, Orissa Engineering College , Bhubaneswar,Odisha, India
Dr. Anita Sagadevan Ethiraj
Associate Professor, Department of Centre for Nanotechnology Research (CNR), School of Electronics Engineering (Sense), Vellore
Institute of Technology (VIT) University, Tamilnadu, India
Dr. Sibasis Acharya
Project Consultant, Department of Metallurgy & Mineral Processing, Midas Tech International, 30 Mukin Street, Jindalee-4074,
Queensland, Australia
Dr. Neelam Ruhil
Professor, Department of Electronics & Computer Engineering, Dronacharya College of Engineering, Gurgaon, Haryana, India
Dr. Faizullah Mahar
Professor, Department of Electrical Engineering, Balochistan University of Engineering and Technology, Pakistan
Dr. K. Selvaraju
Head, PG & Research, Department of Physics, Kandaswami Kandars College (Govt. Aided), Velur (PO), Namakkal DT. Tamil Nadu,
India
Dr. M. K. Bhanarkar
Associate Professor, Department of Electronics, Shivaji University, Kolhapur, Maharashtra, India
Dr. Sanjay Hari Sawant
Professor, Department of Mechanical Engineering, Dr. J. J. Magdum College of Engineering, Jaysingpur, India
Dr. Arindam Ghosal
Professor, Department of Mechanical Engineering, Dronacharya Group of Institutions, B-27, Part-III, Knowledge Park,Greater Noida,
India
Dr. M. Chithirai Pon Selvan
Associate Professor, Department of Mechanical Engineering, School of Engineering & Information Technology Manipal University,
Dubai, UAE
Dr. S. Sambhu Prasad
Professor & Principal, Department of Mechanical Engineering, Pragati College of Engineering, Andhra Pradesh, India.
Dr. Muhammad Attique Khan Shahid
Professor of Physics & Chairman, Department of Physics, Advisor (SAAP) at Government Post Graduate College of Science,
Faisalabad.
Dr. Kuldeep Pareta
Professor & Head, Department of Remote Sensing/GIS & NRM, B-30 Kailash Colony, New Delhi 110 048, India
Dr. Th. Kiranbala Devi
Associate Professor, Department of Civil Engineering, Manipur Institute of Technology, Takyelpat, Imphal, Manipur, India
Dr. Nirmala Mungamuru
Associate Professor, Department of Computing, School of Engineering, Adama Science and Technology University, Ethiopia
Dr. Srilalitha Girija Kumari Sagi
Associate Professor, Department of Management, Gandhi Institute of Technology and Management, India
Dr. Vishnu Narayan Mishra
Associate Professor, Department of Mathematics, Sardar Vallabhbhai National Institute of Technology, Ichchhanath Mahadev Dumas
Road, Surat (Gujarat), India
Dr. Yash Pal Singh
Director/Principal, Somany (P.G.) Institute of Technology & Management, Garhi Bolni Road , Rewari Haryana, India.
Dr. Sripada Rama Sree
Vice Principal, Associate Professor, Department of Computer Science and Engineering, Aditya Engineering College, Surampalem,
Andhra Pradesh. India.
Dr. Rustom Mamlook
Associate Professor, Department of Electrical and Computer Engineering, Dhofar University, Salalah, Oman. Middle East.
Managing Editor
Mr. Jitendra Kumar Sen
International Journal of Emerging Science and Engineering (IJESE)
Editorial Board
Dr. Saeed Balochian
Associate Professor, Gonaabad Branch, Islamic Azad University, Gonabad, Iratan
Dr. Mongey Ram
Associate Professor, Department of Mathematics, Graphics Era University, Dehradun, India
Dr. Arupratan Santra
Sr. Project Manager, Infosys Technologies Ltd, Hyderabad (A.P.)-500005, India
Dr. Ashish Jolly
Dean, Department of Computer Applications, Guru Nanak Khalsa Institute & Management Studies, Yamuna Nagar (Haryana), India
Dr. Israel Gonzalez Carrasco
Associate Professor, Department of Computer Science, Universidad Carlos III de Madrid, Leganes, Madrid, Spain
Dr. Guoxiang Liu
Member of IEEE, University of North Dakota, Grand Froks, N.D., USA
Dr. Khushali Menaria
Associate Professor, Department of Bio-Informatics, Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P.), India
Dr. R. Sukumar
Professor, Sethu Institute of Technology, Pulloor, Kariapatti, Virudhunagar, Tamilnadu, India
Dr. Cherouat Abel
Professor, University of Technology of Troyes, France
Dr. Rinkle Aggrawal
Associate Professor, Department of Computer Science and Engineering, Thapar University, Patiala (Punjab), India
Dr. Parteek Bhatia
Associate Professor, Deprtment of Computer Science & Engineering, Thapar University, Patiala (Punjab), India
Dr. Manish Srivastava
Professor & Head, Computer Science and Engineering, Guru Ghasidas Central University, Bilaspur (C.G.), India
Dr. B. P. Ladgaonkar
Assoc. Professor&Head, Department of Electronics, Shankarrao Mohite Mahavidyalaya, Akluj, Maharashtra, India
Dr. E. Mohan
Professor & Head, Department of Computer Science and Engineering, Pallavan College of Engineering, Kanchipuram,Tamilnadu,
India
Dr. M. Shanmuga Ptriya
Assoc. Professor, Department of Biotechnology, MVJ College of Engineering, Bangalore Karnataka, India
Dr. Leena Jain
Assoc. Professor & Head, Dept. of Computer Applications, Global Institute of Management & Emerging Technologies, Amritsar,
India
Dr. S.S.S.V Gopala Raju
Professor, Department of Civil Engineering, GITAM School of Technology, GITAM, University, Hyderabad, Andhra Pradesh, India
Dr. Ani Grubisic
Department of Computer Science, Teslina 12, 21000 split, Croatia
Dr. Ashish Paul
Associate Professor, Department of Basic Sciences (Mathematics), Assam Don Bosco University, Guwahati, India
Dr. Sivakumar Durairaj
Professor, Department of Civil Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi, Chennai
Tamil Nadu, India
Dr. Rashmi Nigam
Associate Professor, Department of Applied Mathematics, UTI, RGPV, Airport Road, Bhopal, (M.P.), India
Dr. Mu-Song Chen
Associate Professor, Department of Electrical Engineering, Da-Yeh University, Rd., Dacun, Changhua 51591, Taiwan R.O.C.,
Taiwan, Republic of China
Dr. Ramesh S
Associate Professor, Department of Electronics & Communication Engineering, Dr. Ambedkar Institute of Technology, Bangalore,
India
Dr. Nor Hayati Abdul Hamid
Associate Professor, Department of Civil Engineering, Universiti Teknologi Mara, Selangor, Malaysia
Dr. C.Nagarajan
Professor & Head, Department of Electrical & Electronic Engineering Muthayammal Engineering College,Rasipuram,Tamilnadu,
India
Dr. Ilaria Cacciotti
Department of Industrial Engineering, University of Rome Tor Vergata Via del Politecnico Rome-Italy
Dr. V.Balaji
Principal Cum Professor, Department of EEE &E&I, Lord Ayyappa Institute of Engg & Tech,Uthukadu, Walajabad, Kanchipuram,
Tamil Nadu, India
Dr. G. Anjan Babu
Assoc. Professor, Department of Computer Science, S V University, Tirupati, Andhra Pradesh, India
Dr. Damodar Reddy Edla
Assoc. Professor, Department of Computer Science & Engineering, National Institute of Technology, Goa, India
Dr. D.Arumuga Perumal
Professor, Department of Mechanical Engg, Noorul Islam University, Kanyakumari (Dist), Tamilnadu, India
Dr. Roshdy A. AbdelRassoul
Professor, Department of Electronics and Communications Engineering, Arab Academy for Science and Technology, Electronics and
Communications Engineering Dept., POBox 1029, Abu-Qir, Alexandria, Egypt
Dr. Aniruddha Bhattacharya
Assoc. Professor & Head, Department of Computer Science & Engineering, Amrita School of Engineering, Bangalore, India
Dr. P Venkateswara Rao
Professor, Department of Mechanical Engineering, KITS, Warangal, Andhra Pradesh, India
Dr. V.Mahalakshmi M.L
Assoc. Professor & Head, Institute of Management Studies, Chennai CID Quarters, V.K.Iyer Road, Mandaveli, Chennai
S.
No
Volume-1 Issue-1, November 2012, ISSN: 2319–6378 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.
Page No.
1.
Authors: Kotaprolu Nanda Kishore, Vakkalagadda Prasad, Mada Yaswanth Manikanta, T.Ravi, Anup VSAP
Josyula
Paper Title: Optimised Design Of Dual-Band Cellular Repeater At Different Frequency Bands (GSM 1800/ DCS,
3G)
Abstract: The intended application of our Cellular Repeater is a system of duplex reception, amplification and
transmission used to enhance uplink(UL) and downlink(DL) signals in areas of low signal coverage i.e.; for the
situations where signal quality between the base station and the receiver is poor and communication fails. This will
be helpful for cellular providers to rectify the problems of poor signal service. This Dual band Cellular Repeater
consists of Bidirectional amplifier, receiving and transmitting antennas. This paper discusses our assembling
process, beginning with component selection and our difficulty in obtaining the required gain according to the user
requirement in the process of testing. This cellular repeater can be operated in 2 different operating frequency
bands namely, GSM 1800/DCS and 3G. The operation of the repeater can be switched between the two bands
depending on the user requirement using a duplexer which provides proper switching among the bands. This
model helps a lot in providing efficient signal service in the weaker coverage areas in the specified band of
frequency.
Keywords: Bi-Directional Amplifier (BDA), Yagi-Uda antenna, Patch panel antenna, power amplifier, GSM
1800/DCS, 3G
References: 1. K. V. S. Rao, P. V. Nikitin and S. Lam, “Antenna design for UHF RFID tags: A review and a practical application,” IEEE
Transactions on Antennas and Propagation, vol. 53, no. 12, pp. 3870-3876, Dec. 2005.
2. K.P. Ray and Y. Ranga, “CPW-fed modified rectangular printed monopole antenna with slot,” Microwave and Optoelectronics Conference, 2007 IMOC 2007 SBMO/IEEE MTT-S International, pp.79-81, Oct. 29 2007-Nov. 1 2007.
3. C. Balanis, Antenna Theory, Analysis and Design, 3rd edition, New York: Wiley, 2005.
4. R. C. Baraniuk, V. Cevher, and M. B. Wakin, “Low-dimensional models for dimensionality reduction and signal recovery, a geometrical perspective,” Proc. IEEE, vol. 98, no. 6, pp. 959–971,Jun. 2010.
5. O. M. Bucci, G. D’Elia, and M. D. Migliore, “A new strategy to reduce the truncation error in near-field far-field transformations,”
Radio Sci.,vol. 35, no. 1, pp. 3–17, Jan.–Feb. 2000.
6. 4S Telecom (P) LTD. BANGALORE User Manual
1-5
2.
Authors: Aswathy.Ravikumar, Saritha.R
Paper Title: An Improved Statistical Model for Protein Secondary Structure Prognostication
Abstract: Genome sequencing projects continue to provide a flood of new protein sequences. Recently there
have been advances in protein structure prognostication which in turn has improved fold recognition algorithms.
Predicting the secondary structure of proteins is important in biochemistry because the 3D structure can be
determined from the local folds that are found in secondary structures. Moreover, knowing the tertiary structure of
proteins can assist in determining their functions. The problem of protein secondary structure prognostication with
Hidden Markov Models is addressed here. Sequence family information is integrated via the combination of
independent predictions of homologous sequences and a weighting scheme. Hidden Markov models were built for
a representative set of just over 1,000 structures from the Protein Data Bank (PDB). The topology of the HMM
was restricted to biologically meaningful building blocks.
Keywords: HMM, protein structure, Markov Process
References: 1. Moult J, Hubbard T, Fidelis K, Pedersen J: Critical assessment of methods of protein structure prediction (CASP): Round
III.Proteins 1999, 37(suppl 3):2-6. 2. Zvelebil MJJM, Barton GJ, Taylor WR, Sternberg MJE. Prediction of protein secondary and active sites using the alignment of
homologous sequences. J Mol Biol 1987;195:957–961.
3. G. Pollastri, D. Przybylski, B. Rost, and P. Baldi, “Improving the Prediction of Protein Secondary Structure in Three and Egight Classes Using Recurrent Neural Networks and Profiles,” PROTEINS: Structure, Fuction,and Genetics, vol. 47, pp. 228–235, 2002.
4. K. Lin, V. A. Simossis, W. R. Taylor, and J. Heringa,“A simple and fast secondary structure prodiction method using hidden neural
networks,” Bioinformatics,vol. 21, no. 2, pp. 152–159, 2005. 5. J. J. Ward, L. J. McGuffin, B. F. Buxton, and D. T. Jones, “Secondary structure prediction with support vector machines,”
Bioinformatics, vol. 19, no. 13, pp.1650–1655, 2003.
6. J. Guo, H. Chen, Z. Sun, and Y. Lin, “A NovelMethod for Protein Secondary Structure Prediction Using Dual-Layer SVM and Profiles,” PROTEINS: Structure, function, and Bioinformatics, vol. 54, pp.738–743, 2004.
7. Petrey and B. Honig, “Protein structure prediction: Inroads to biology,”Mol. Cell., vol. 20, pp. 811–819, 2005.
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S.
No
Volume-1 Issue-12, October 2013, ISSN: 2319–6378 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.
Page
No.
1.
Authors: M. Karthik, P. Arul
Paper Title: Optimal Power Flow Control Using FACTS Devices
Abstract: In any power system, unexpected outages of lines or transformers occur due to faults or other
disturbances. These events, referred to as contingencies, may cause significant overloading of transmission lines or
transformers, which in turn may lead. Flexible AC Transmission System (FACTS) controllers provide a new
facilities, both in steady state power flow control and dynamic stability control. Static VAR controllers control only
one of three important parameters (voltage, impedance, phase angle) determining the power flow in the AC power
system viz. the amplitude of voltage at selected terminals of transmission line .Overloading Power flow control, in an
existing long transmission line, plays a vital role in Power System area. In this the Static Var Compensator (SVC)
and Thyrister Controlled Series Capacitor (TSCS) based FACTS device for minimize the losses and power flow in
long distance transmission line. The problem of determining the optimal SVC and TCSC parameters is formulated as
an optimization problem and a N-R method based approach is applied to solve the Optimal Power Flow (OPF)
problem. Simulations are done on IEEE 30 bus system for a few harmful contingencies.
Keywords: FACTS, Optimal Power flow, SVC (Static Var Compensator), TCSC.
References: 1. N.G. Hingorani, and L. Gyugyi, "Understanding FACTS; Concepts and Technology of Flexible AC Transmission Systems”, IEEE Press,
New York, 1993.
2. N. M. G. Kumar, P. Venkatesh, Dr. P. Sangamewara Raju,”Modelling and Analysis of SVC, TCSC, TCPAR in Power Flow Studies”,
International Journal of Emerging Technology and Advanced Engineering, Volume 3, Issue 1, January 2013. 3. Mrinal Ranjan and B. Vedik,” Optimal Location of FACTS Devices in a Power System by Means of Sensitivity Analysis”, Trends in
Electrical and Computer Engineering TECE 1(1) 1-9, 2011. 4. D. Devaraj and R. Narmatha Banu,” Optimal Power Flow for Steady State Security Enhancement using Enhanced Genetic Algorithm with
FACTS Devices”, Asian Power Electronics Journal, Vol. 4, No.3 December 2010.
5. G. RaghuBabu, G. Ashok kumar and M.B. Pavan Kumar, “Optimal Power Flow Enhancement In Deregulated Power Systems With Series Facts Devices”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
6. M. Basu,” Optimal power flow with FACTS devices using differential evolution”, Electrical Power and Energy Systems 30 (2008) 150–
156. 7. “Power System Analysis” by Hadi Saadat, Mc Graw-Hill Publications, 2004
8. Neeba Elizabeth Jose, K.Ramesh,“ Survey on Optimal Power Flow under Security Constraints” International Journal of Emerging
Technology and Advanced Engineering. Volume 3, Issue 1, January 2013 9. Abouzar Samimi, Peyman Naderi,”A New Method for Optimal Placement of TCSC Based on Sensitivity Analysis for Congestion
Management”, Smart Grid and Renewable Energy, 2012, 3, 10-16
10. R. Mohan Mathur. “Thyristor based FACTScontrollers for electrical transmission systems”. IEEE Press Series on Power Engineering, Wiley-Interscience. 2002
11. Douglas J. Gotham ,G. T. Heydt, “Power Flow Control And Power Flow Studies For Systems With Facts Devices”, IEEE Transactions on
Power Systems, Vol. 13, No. 1, February 1998 12. A.K.Sahoo,S.S.Dash,T.Thyagarajan, “Power Flow Study Including FACTS Devices”, Journal of Applied Sciences 10(15):1563-
1571,2010,ISSN 1812-5654
1-4
2.
Authors: M. I. Youssef, A. E. Emam, S. M. Saafan, M. Abd Elghany
Paper Title: Secured Image Encryption Scheme Using both Residue Number System and DNA Sequence
Abstract: This paper proposes a new image encryption scheme that uses DNA sequences and Residue number
system. The design of this scheme is based on the binary to residue data message conversion, then impeding the
message secretly inside the DNA sequence. This merge will be leaded to perform multilayer encryption with
different keys to increase the security and more flexibility, with less complexity. As the security is one of the most
important issues in communication systems, the evolvement of cryptography and cryptographic analysis are
considered as the fields of ongoing research. Thus, a straight forward algorithm that achieves efficiency as multi-
layer encryption techniques are implemented.
Keywords: DNA, Image, Encryption, Residue number system.
References: 1. A. Ammar, A.Al Kabbany, M. Youssef and A. Emam, “A Secure image coding scheme using Residue Number System”, in proceedings of
the 18th National Radio science conference, Egypt, pp. 339- 405, March 2001. 2. Clelland, C. T., Risca, V. and Bancroft, C., Hiding Messages in DNA Microdots, Nature, Vol. 399, 1999, pp.533-534.
3. Leier, A., Richter, C., Banzhaf, W. and Rauhe, H., Cryptography with DNA Binary Strands, BioSystems, Vol. 57, 2000, pp.13-22.
4. Shimanovsky, B., Feng, J. and Potkonjak, M., Hiding Data in DNA, Revised Paper from the 5th International Workshop on Information
Hiding, Lecture Notes in Computer Science, Vol. 2578, 2002, pp.373-386.
5. European Bioinformatics Institute, URL: http://www.ebi.ac.uk
6. M. Schena, “Microarray Analysis”, Wiley-Liss, July 2003. 7. K. W. Watson, “Self-checking computations using residue arithmetic,” Proc. IEEE, vol. 54, pp. 1920–1931, Dec. 1966.
8. E. D. D. Claudio, G. Orlandi, and F. Piazza, “A systolic redundant residue arithmetic error correction circuit,” IEEE Trans. Computers, vol.
42, pp. 427–432, Apr. 1993. 9. H. Krishna and J. D. Sun, “On theory and fast algorithms for error correction in residue number system product codes,” IEEE Trans.
Computers, vol. 42, pp. 840–852, July 1993.
10. H. Z. Hsu and R. C. T. Lee, “DNA Based Encryption Methods”, the 23rd workshop on combinatorial Mathematics and Computation theory.
11. H. J. SHIU Et Al, “Data hiding methods based upon DNA sequences”, Information sciences, 2010.
12. H. Elkamchouchi and M. Makar, “Measuring encryption quality for bitmap images encrypted with rijndael and kamkar block ciphers,” in Radio Science Conference, 2005. NRSC 2005. Proceedings of the Twenty-Second National. IEEE, 2005, pp. 277–284.
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13. H. Ahmed, H. Kalash, and O. Allah, “Encryption efficiency analysis and security evaluation of rc6 block cipher for digital images,” in Electrical Engineering, 2007. ICEE’07. International Conference on. IEEE, 2007, pp. 1–7.
14. I. Elashry, O. Allah, A. Abbas, S. El-Rabaie, and F. El-Samie, “Homomorphic image encryption,” Journal of Electronic Imaging, vol. 18,
p.033002, 2009. 15. N. El-Fishawy and O. Zaid, “Quality of encryption measurement of bitmap images with rc6, mrc6, and rijndael block cipher algorithms,”
International Journal of Network Security, vol. 5, no. 3, pp. 241–251, 2007.
16. S. Kamali, R. Shakerian, M. Hedayati, and M. Rahmani, “A new modified version of advanced encryption standard based algorithm for image encryption,” in Electronics and Information Engineering (ICEIE), 2010 International Conference On, vol. 1. IEEE, 2010, pp. V1–
141.
17. R. Gray, Entropy and information theory. Springer Verlag, 2010. 18. H. Ahmed, H. Kalash, and O. Allah, “Implementation of rc5 block cipher algorithm for image cryptosystems,” International Journal of
Information Technology, vol. 3, no. 4.
19. R. Enayatifar, “Image encryption via logistic map function and heap tree,” Int. J. Phys. Sci, vol. 6, no. 2, p. 221, 2011. 20. Z. Han, W. Feng, L. Hui, L. Da Hai, and L. Chou, “A new image encryption algorithm based on chaos system,” in Robotics, Intelligent
Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on, vol. 2. IEEE, 2003, pp. 778–782.
3.
Authors: Sambit Kumar Patra, Krishna T. G
Paper Title: Knowledge-Based EXP Framework (Verifying System and Product Configurations Using MS-Excel,
XML and PERL Script)
Abstract: Nowadays, as computers get more advanced each day, so do the software being written for them. This
advancement brings about increasing complexity in system configurations. Most, if not all, requirements are
mentioned in lengthy user/installation manuals, reading those becomes all the more a tedious job. Small scripts are
being used for automation to verify the configuration. However managing the scripts became more tedious as the
numbers of configurations become huge. We figured that it would be so much easier on everyone if there could be a
framework in place to do the verifications, instead of someone doing it manually. We have come up with a
knowledge-based EXP framework which can be extensible using Microsoft Excel, XML schema and PERL script
which we intend to verify, things that overlooked, system health check up, product specific optimal value, database
and kernel.
Keywords: Knowledge-based system, EXP framework, system health check-up tool, verifying configuration tool.
References: 1. Z Pawlak, Rough set approach to knowledge-based decision support, European journal of operational research, 1997, Volume 99, Issue 1,
16 May 1997, Pages 48–57
2. Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP (2004) Determination of stable housekeeping genes, differentially regulated target genes
and sample integrity: BestKeeper—Excel-based tool using pair-wise correlations. Biotechnol Lett 26: 509–515
3. Yunbo Lia,• Qiping Shen, “Design of spatial decision support systems for property professionals using MapObjects and Excel”.
4. W3C, Extensible Markup Language (XML) 1.0, W3C Rec., Feb. 10, 1998. 5. W3C, XML Schema Part 1: Structures, W3C Rec., May 2, 2001.
6. D. Berner, J.-P. Talpin, H. D. Patel, D. Mathaikutty, and S. K. Shukla. Systemcxml: An exstensible systemc front end using xml. In FDL,
pages 405–409. ECSI, 2005. 7. David Berner, Jean-Pierre Talpin, “SystemCXML: An Extensible SystemC Front End Using XML”
8. Dan Davis y and Manish Parashar, “Latency Performance of SOAP Implementations”, Cluster Computing and the Grid, 2002. 2nd
IEEE/ACM International Symposium. 9. Harlan Carvey, Jeremy Faircloth, Perl Scripting for Windows Security: Live Response, Forensic Analysis, and Monitoring
10. Y. S. Kuo, Jaspher Wang, and N. C. Shih, “Handling Syntactic Constraints in a DTD-Compliant XML Editor”
11. Y. S. Kuo , Lendle Tseng , Hsun-Cheng Hu , N. C. Shih, An XML interaction service for workflow applications, Proceedings of the 2006 ACM symposium on Document engineering, October 10-13, 2006, Amsterdam, The Netherlands
12. Y. S. Kuo , N. C. Shih , Lendle Tseng , Hsun-Cheng Hu, Generating form-based user interfaces for XML vocabularies, Proceedings of the
2005 ACM symposium on Document engineering, November 02-04, 2005, Bristol, United Kingdom 13. Marc Dymetman, Chart-parsing techniques and the prediction of valid editing moves in structured document authoring, Proceedings of the
2004 ACM symposium on Document engineering, October 28-30, 2004, Milwaukee, Wisconsin, USA.
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4.
Authors: A. Satya Phani Kumari, Waheed Shafiah
Paper Title: Psychological Trauma and Mythical Images in ‘A Severed Head’
Abstract: It is arduous and somewhat complex thing to speak about the works of writers who express their
multifarious views in an extraordinary way in this empirical world where our great writers are free lances. Very few
writers achieve the success path as fiction playwrights and philosophical instigators. By virtue of the extent and
variety of her work, the vigour and originality, her influence on art, letters, philosophy and life, and the range and
beauty of her style, Iris Murdoch entered the literary scene with her book Sartre: The Romantic Rationalist. This
paper deals with the theme and analytical observation of A Severed Head in which Murdoch presents incest, marital
absurdity and extramarital relationships within the structure of extremely intricate psychological, existential and
Freudian views. The atrocities and incest are taken as common things in the western society and no one dares to
reveal those uncommon things to the world. No one thinks about the future of those sufferers. But Murdoch has
presented her positive views in her book A Severed Head and showed her courage to the literary world by taking a
weird subject. This paper elucidates her views about repressive social rules, her philosophical knowledge, sentiments,
humor and sudden twists in the story.
Keywords: Freudian psychology, incest, adultery, severed head, social sentiments, morality.
References: 1. Murdoch, Iris. A Severed Head. New York: Viking, 1961.
2. Murdoch, Iris. The Black Prince. London, 1973. 3. Murdoch, Iris. The Sacred and Profane Love Machine. New York: Viking, 1974.
4. Murdoch, Iris. Under the Net. New York: Viking, 1954.
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5. Byatt, A. S. Degrees of Freedom: The Novels of Iris Murdoch. London: Chato and Windus, 1965. 6. Byatt, A. S. Iris Murdoch: Writers and Their Works Series, No. 25, London: British Council Publication, 1976.
7. Carson, Judith Ann. “Iris Murdoch: Her Philosophy in Two Novels” (1979). Open Access Dissertations and Theses Paper 5116,
http://digitalcommons.mcmaster.ca/opendissertations/5116. 8. Conradi, Peter J. Iris Murdoch: The Saint and the Artist. New York: St. Martin’s Press, 1986.
9. Conradi, Peter J. Iris Murdoch: A Life. Ondon: Harper Collins, 2001.
10. Frankova Milada. Human Relationships in the Novels of Iris Murdoch. Brno: Masarykova Univerzita, 1995. 11. Freud, Sigmund. The Origins of Religion: Totem and Taboo, Moses and Monotheism and Other Works. Trans. James Strachey. Ed. Albert
Dickson. Harmondsworth: Penguin, 1985.
12. Kuehl, Linda. “Iris Murdoch: The Novelist as Magician/The Magician as Artist.” Modern Fiction Studies, XV (Autumn 1969), 340-360). 13. Rabinovitz, Rubin. Iris Murdoch. Columbia Essays on Modern Writers. New York: Columbia University Press, 1968.
5.
Authors: M. V. S. Lakshmi, Ravi Mathey
Paper Title: Encrypted Feature Extraction for Privacy SIFT
Abstract: Privacy has acquired considerable attention but is still largely ignored inside multimedia local community.
Consider some sort of cloud research scenario the spot that the server can be resource-abundant, and is also capable
regarding finishing the particular designated duties. It can be envisioned in which secure advertising applications
using privacy preservation is going to be treated seriously. In view that the scale-invariant characteristic transform
(SIFT) has become widely adopted in several fields, this project may be the first to the fact that privacy-preserving
SORT (PPSIFT) and to address the condition of safeguarded SIFT characteristic extraction and also representation
inside encrypted domain.
Keywords: Feature Extraction, Privacy Preserving, Security.
References: 1. G. O. Young, “Synthetic structure of industrial plastics (Book style with paper title and editor),” in Plastics, 2nd ed. vol. 3, J.
Peters, Ed. New York: McGraw-Hill, 1964, pp. 15–64. 2. W. Lu, A. Swaminathan, A. L. Varna, and M. Wu, “Enabling search over encrypted multimedia databases,” Proc. SPIE, vol. 7254, pp. 1–
11, Jan. 2009.
3. J. Shashank, P. Kowshik, K. Srinathan, and C. Jawahar, “Private content based image retrieval,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2008, pp. 1–8.
4. C. Y. Hsu, C. S. Lu, and S. C. Pei, “Homomorphic encryption-based secure sift for privacy-preserving feature extraction,” Proc. IS&T/SPIE
Media Watermark., Forensics, Security, vol. 7880, pp. 788005-1– 788005-17, Jan. 2011. 5. Z. Yang, S. Kamata, and A. Ahrary, “NIR: Content based image retrieval on cloud computing,” in Proc. IEEE Int. Conf. Intell. Comput.
Intell. Syst., vol. 3. Nov. 2009, pp. 556–559.
6. B. Moskovich and M. Osadchy, “Illumination invariant representation for privacy preserving face identification,” in Proc. IEEE Comput. Vis. Pattern Recognit. Workshop, Jun. 2010, pp. 154–161.
7. Z. Erkin, M. Franz, J. Guajardo, S. Katzenbeisser, I. Lagendijk, and T. Toft, “Privacy-preserving face recognition,” in Proc. 9th Int. Symp.
Privacy Enhancing Technol., 2009, pp. 235–253. 8. J. Krizaj, V. Struc, and N. Pavesic, “Adaptation of sift features for robust face recognition,” in Proc. Int. Conf. Image Anal. Recognit.,
2010, pp. 394–404.
9. A. Sadeghi, T. Schneider, and I. Wehrenberg, “Efficient privacypreserving face recognition,” in Proc. 12th Annu. Int. Conf. Inf. Security Cryptol., 2009, pp. 229–244.
10. C. Velardo and J. L. Dugelay, “Face recognition with daisy descriptors,” in Proc. ACM Multimedia Security Workshop, 2010, pp. 95–100.
11. U. Park, S. Pankanti, and A. K. Jain, “Fingerprint verification using sift features,” Proc. SPIE, vol. 6944, pp. 69440K-1–69440K-9, Mar. 2008.
12. Z. Ye, X. Chen, and Z. Li, “Video based mobile location search with large set of sift points in cloud,” in Proc. MCMC Workshop ACM
Multimedia Conf., 2010, pp. 25–30. 13. C. Y. Hsu, C. S. Lu, and S. C. Pei, “Secure and robust sift,” in Proc. ACM Multimedia, 2009, pp. 637–640
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6.
Authors: D. Elangovan, K. Nirmala
Paper Title: Portrayal Based Concept Classification for Extracting ‘Operating System’ E- Content
Abstract: Portrayals (or cognitive structures) may be used as bases for classifying e-content documents of problem
centric courses such as ‘Operating System’. As concept extractions cannot be fully automated, this paper suggests a
novel technique in the form of procedures for identifying portrayal based and domain dependent documents for
selecting appropriate e-contents.[3] The paper has considered the ‘First Principles of Instruction’ (FPI) of David
Merrill in the form of its four cognitive structures namely Activation, Demonstration, Application and Integration as
portrayals. The paper suggests developing and storing of e-contents in the form of these portrayals explicitly. The
paper points out clearly that it is quite possible to represent portrayal documents, which are tagged with the e-content
documents for the subject ‘Operating System’. The proposed procedure has symbolized two portrayal concept words
of ‘Activation’ and ‘Demonstration’ for Operating System. Our proposed approach is based on literature support on
concept mining that uses portrayals. Comparative studies through experiments on these two portrayals have been
made with our suggested procedure and that of pure keyword searches of the same subject contents. The paper has
validated its approach through 38 selective learner respondents who were requested to present concept based short
sentences which are used for extraction of the tagged e-documents. It is proved that extraction is quick and easy,
even when the e-documents did not have specified keywords. Conclusions that are drawn from the studies would be
of use to e-content developers and concept extractors [1].
Keywords: Concept extraction, Concept portrayals, Portrayal classifications, Operating Systems e-content.
References: 1. Masaru Ohba, Katsuhiko Gondow: Toward mining "concept keywords" from identifiers in large software projects. ACM SIGSOFT
Software Engineering Notes 30(4): 1-5 (2005) 2. Saleema Amershi, and Cristina Conati “Combining Unsupervised and Supervised Classification to Build User Models for Exploratory
Learning Environments”, Journal of Educational Data Mining, Article 2, Vol 1, No 1, Fall (2009)
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3. Merrill M.D., (2007). “Converting e sub3-learning to e 3rd power-learning: an alternative instructional design method”. In S. Carliner and P. Shank (Eds.), e-Learning: Lessons Learned, Challenges Ahead (Voices from Academe and Industry). Pfeiffer/Jossey-Bass.
4. Suriakala M and Sambanthan T.G, (2007), “Merrill’s Taxonomy and Action Verbs for Information and Communication Technology
Content Analysis”, International Journal for Vocational Education, National Institute of Technical Teachers Training and Research, Chennai, India, Vol. No. June 2007 pp
5. Merrill M.D., (2002). “First Principles of Instruction”, Englewood Cliffs, NJ: Educational Technology Publications.
6. Arun K.Pujari, (2001), “Data mining techniques”, Universities Press (India) Pvt. Ltd. 2001
7.
Authors: Jasanpreet Singha, Narinder Kumarb, S. K. Mahlac
Paper Title: Rice Bran Oil Biodiesel as an Alternative in Single Cylinder CI Engine with DI Ethyl Ether Blends
Abstract: The increased attention on alternative fuels in the recent years was mainly driven by increasing oil prices,
strong emission norms and the concern on clean environment. The biodiesel has emerged as a potential substitute for
diesel fuel on account of its renewable source and lesser emissions. An experimental investigation has been carried
out to analyze the performance and emission characteristics of a compression ignition engine fuelled with rice bran
oil and its blends (5%, 10% and 15%) with di ethyl ether at different load conditions. The results of the experimental
investigation show that the RBO-DEE blend can be used efficiently in diesel engine without much change in the
engine hardware. In performance characteristics the thermal efficiency increases by 11.6% at 10% DEE addition in
the RBO at full load conditions and brake power also increases as oxygen addition improves the combustion process.
In exhaust emission characteristics the unburnt hydrocarbon and carbon monoxide emissions decreases with the
increase in DEE percentage in the blend. A significant reduction in smoke emissions can be seen with RBO-DEE
blend investigated.
Keywords: Biodiesel, Rice Bran Oil, Transesterification, Di Ethyl Ether, Performance, Emissions.
References: 1. Mustafa Balat and Havva Balat (24 March 2008). A critical review of bio-diesel as a vehicular fuel. Energy Conversion and Management,
Page 2727–2741.
2. P.K.Gupta, Rakesh Kumar, B.S.Panesar, and V.K.Thapar (April 2007). Parametric Studies on Bio-diesel prepared from Rice Bran Oil.
Agricultural Engineering International: the CIGR E journal. Manuscript EE06 007, Vol. IX. 3. Novy Srihartati Kasim, Tsung-Han Tsai, Setiyo Gunawan, Yi-Hsu Ju. (November 2008).Biodiesel production from rice bran oil and
supercritical methanol. Bioresource Technology 100 Page 2399–2403.
4. Fangrui Maa, Milford A. Hannab, 2 February 1999)Biodiesel production: a review. Bioresource Technology 70, Page 1-15. 5. Ulf Schuchardta, Ricardo Serchelia, Rogério Matheus Vargas(1998)Transesterification of Vegetable Oils: a Review. J. Braz. Chem. Soc.,
Vol. 9, No. 1, Page 199-210.
6. M.Mathiyazhagan, A.Ganapathi, B. Jaganath, N. Renganayaki, And N. Sasireka( April 2011)Production of biodiesel from non-edible plant oils having high FFA content. International Journal of Chemical and Environmental Engineering, Vol. 2, No.2.
31-34
8.
Authors: Abayomi Ibiyemi, Ezekiel Tella
Paper Title: Critical Issues in Economic Risks Consideration by Commercial Property Investors and Valuers in
Nigeria: The Case of Lagos
Abstract: Rationality in property investment valuation is predicated on a coherent valuation theory and practice,
generally acceptable methodology framework, and explicitness in risks appraisal and rental growth rates. This study
hypothesises that Lagos real estate firms do not account for economic risks explicitly in property investment
valuation practice. Many firms use the Payback Period, Residual, Discounted Cash Flow (DCF), and the
conventional Risk Adjusted Discount Factor (RADF) that increases the discount rate implicitly, depending on the
perceived volatility of the project relative to the risk-free rate of return. A questionnaire survey, using stratified
sampling, recently asked 110 valuation firms and 40 Commercial property investors in Lagos Metropolis about
comprehensive economic risks techniques applications, and perception of risks respectively. The data provided
verified the hypothesis. The results, based on chi-square goodness of fit test, indicated statistical differences between
theory and observed proportions. The conclusion of the study is that investment valuations are not explicitly
influenced by comprehensive risk considerations. The firms lack the understanding of the methods and procedures of
the contemporary risk models, hence, it is difficult for them to apply. Investors’ perception of risks is poor, so they
are unable to query the Valuers’ valuation rationale. The implication of the findings is that economic risks may be
understated: Future investment performance measurements must be qualified on the platform of comprehensiveness
of risks appraisal. The paper recommends that application of comprehensive models be made mandatory by the Real
Estate Professional Body, with a reliable property data bank that complies with international valuation best practices.
Commercial property investors should be encouraged to diversify, share, or spread their risks accordingly.
Keywords: Risk analysis, market risks, perception, valuation rationality, best practices, appraisal, Nigeria.
References: 1. Millington A.F. Accuracy and the role of the valuer, Estate Gazette, 9th November, (276): 603, 1985
2. Royal Institution of Chartered Surveyors, The Mallinson Report, London 1995
3. Bretten, J. and Wyatt, P. Variance in property valuations for commercial lending, Research Papers 4: 9, 2002. 4. Babawale, G.K. Valuers’ liability for negligence. The Estate Surveyor and Valuer, 30 (1):49-56, 2007
5. Crosby, Neil. Valuation accuracy, variation and bias in the context of standards and expectations. Journal of Property Investment and
Finance Vol. 18, No. 2, 2000. 6. Downs, A. Appraisal practices need revision. The Appraisal Journal, October, 454-458, 1991
7. Baum, A and Crosby, N. Property investment appraisal, Routledge, London, 1988
8. Levy, D. and Schuck, E. The Influence of clients on valuations, Journal of Property Investment and Finance. 17: 4, 1999 9. White, J.R. The real estate appraisers – The elusive goal of professionalism. The Appraisal Journal, July, 325-377, 1987
10. Waldy, B Valuation accuracy, 6th FIG permanent committee meeting and international symposium, Singapore, 1997
11. Ogunba, O. A. and Ajayi, C. A. An assessment of the accuracy of valuations in the residential property market of Lagos. The Estate Surveyor and Valuer. 2 (2):19-22, 1998
35-43
12. Ogunba, O.A. A study of Valuation and Pricing Practices in the Residential Propert Market in Lagos Metropolis. M.Sc Thesis submitted to The Department of Estate Management, Obafemi Awolowo University, Ile-Ife, 1997
13. Ogunba, O.A; Ajayi, C. A, and Aluko, B. T. Substitution versus anticipation: A resolution of the Nigerian Valuation Practice Paradox.
Journal of Land use and Development Studies, 1, (1), 1 – 10, 2005 14. Igboko, N. P. Research project on Valuation Methods in Nigeria with special reference to Years Purchase. Research report for the Nigeria
Institution of Estate Surveyors and Valuers, 1 – 43, 1992
15. Ogunba, O.A; and Ajayi, C. A. A Critique of the Conduct of Valuation in Lagos Metropolis; Contemporary issues in Real Estate. Journal of the Department of Estate Management University of Lagos, 2000
16. Investment Property Forum/IPD. The Assessment and Management of Risk in the Property Investment Industry, Investment Property
Forum/Investment Property Databank, London. 34-47, 2000. 17. Broadmap, Harry. Navigating the risks and opportunities in emerging markets: Pearls, Pitfalls, and Possibilities. Marketmap, Issue 1, 2011
18. Wikipedia, http://en.wikipedia.org/wiki/Risk. 2013
19. Ajayi, C. A. Property investment and analysis. Ibadan: De-Ayo Publications, 1998 20. Baum, A and Mackmin, D. The income approach to property valuation, 3rd ed, Thompson, London, 1996
21. Brueggeman, W.B.and Fisher, J.D. Real estate finance: Theory and practice. Cincinnati, South West publishing, 2001
22. Baum, A. Risk-explicit appraisal: A sliced income approach. Journal of valuation, 5:250-270, 1987 23. Baum, A. A critical examination of measurement of property investment risk. Working Paper No.22, University of Cambridge, Department
of Land Economy, 1988
24. Ogunba, O.A and Ojo, O. Resolving reliability, consistency and rationality problems of professionally prepared valuation in Nigerian practice. The Estate Surveyor and Valuer, 30 (1):39-48, 2007
25. Mallinson, M. and French, N. Uncertainty in property valuation, Journal of Property Investment and Finance, 18 (1):13-32, 2000.
26. Ibiyemi, A.O. Valuation model for eco-compliance in the assessment of value-in-use for going concern industrial processes in Nigeria, The
Estate Surveyor & Valuer, 27 (1): 5-24, 2004
27. Ibiyemi, A.O . Application of Property Valuation and Analysis to Green Buildings, Lagos Journal of Environmental Studies, 6 (1):47-54,
2007 28. Baum, A and Crosby, N. Property investment appraisal, Routledge, London, 2nd edition, 1995
29. Baum, A and Macgregor, B. The initial yield revealed: Explicit valuations and the future of property investments. Journal of Property
Valuation and investment. 10 (4):709-726, 1992 30. Ojo, O. Reliability, consistency and rationality of professionally prepared valuations: Suggestions for resolving the problems in Nigerian,
practice. CPD Training Workshop. Organised by the NIESV in Lagos, Kaduna and Enugu, 2004
31. Leramo, G. A. The Groundwork of property valuation. Kaduna Polytechnic Press, Kaduna, 1, 1 – 3, 1992. 32. Olawoye, C. O. Statutory Shaping of Land Law and Land Administration up to the Land Use Act. In J. A. Omotola (eds). The land use
Act. The Report of a National Workshop, Lagos University Press, 14 – 22, 1981.
33. Umezurike, O. N. The land use Decree, 1978: A Critical Analysis. FAB Educational Books, Jos, Nigeria, 1989 34. Bello, O. M. The Analysis and Valuation of Investment Property in the Context of the Land Use Act (No. 6 Of 1978) Of The Federal
Republic of Nigeria. Land Management in Africa – BEST PAPER PRIZE awarded by African Real Estate Society and the Royal Institute
of Chartered Surveyors, United Kingdom, 2001 35. Bello, O. M. Real Estate Values, Valuation Practice and Urban Land Market under the Nigerian Land Law. African Region Castle
Conference on Sustainable Land Management Conference on Sustainable Land Management in Africa, 14 – 17 March, Bagamoyo,
Tanzania, 329 – 340, 2006.
36. Greaves, M. The investment method of valuation and analysis: An examination of some of its problems. Ph.D. Thesis, University of
Reading, 1972 37. Marshall, A. Equated yield analysis. Estate Gazette, 9th November, (276): 603, 1976
38. Wood, E. Property investment: A real value approach. Ph.D.Thesis, University of Reading, 1972
39. Sykes, S. Property valuation: A rational model. The Investment Analyst. .61:20-26, 1981 40. Crosby, Neil. The investment method of valuation: A real value approach, Journal of Property Valuation and Investment, Vol. 1 Iss: 4,
pp.341 – 350, 1983
41. Matysiak, G.A and Wang, P. Commercial property market prices and valuations: analysing the correspondence, Journal of Property Research, 12(3): 181-202, 1995
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commercial property market, Journal of Valuation and Investment, 14 (5):34-47 43. Carsberg Report. Property valuation, Royal Institution of Chartered Surveyors, London, 2002.
44. Hutschinson, N., Adair, N. and Leheny, I. Property risk scoring: The report of investment risks to clients. RICS Research Paper Series, 7:1,
2007 45. Dugeri, T.M. Valuation of the Nigerian maturity of the property market. PhD Thesis submitted to the Department of Estate Management,
University of Lagos, Nigeria, 2011.
46. Falade, J.B. Globalisation, culture and the Nigerian Built Environment: problem, Challenges, and Benefits. Paper delivered at the Conference on Globalisation, Culture, and the Nigerian Built Environment, Obafemi Awolowo University, Ile-Ife, 2005
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International Conference on the Built Environment: Innovation, Policy, and Sustainable Development, Covenant University, Ota, Nigeria, 2006
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49. Crystalake. http://crystalake.wordpress.com/2010/12/25/property-investment-in-Singapore, 2010 50. Lin, Zhenguo and Liu, Yingehun. Real estate returns and risks with heterogeneous investors.
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51. investment+risks&cx=partner-pub-6697027465779297%3A3144322079&cof=FORID%3A10&ie=UTF-8&sa=Search&siteurl=http%3A%2F%2Fgoogle.inklineglobal.com%2F%3FMB, 2013
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2007
9.
Authors: Anjali Ganesh Jivani
Paper Title: An Insight into Concurrency Control Protocols of Distributed Databases
Abstract: This paper reviews the working of different concurrency control protocols in Distributed Databases. As
the development and maturity of the popular centralized database system moves towards the distributed approach, the
challenges and roles start becoming more complex and complicated. The discussion revolves around the variety of
protocols, their working, their advantages and their disadvantages in a distributed environment. The paper is a
comparative between the methods that are popular and accepted.
Keywords: Concurrency Control, Distributed Database, Fragmentation, Replication.
44-46
References: 1. Silberschatz, Korth and Sudarshan , “Database system concepts”, 5th Edition, Mc-graw Hill 2008.
2. Ricardo, Catherine, “Database Systems: Principles, Design and Implementation”, 1990, MacMillan Publishers, New York.
3. K. Sugihara, “Concurrency Control Based on Distributed Cycle Detection”, In Proceedings of International Conference on Data
Engineering, 1987,pp. 267-274.
4. Mandeep Kaur, Harpreet Kaur, “Concurrency Control in Distributed Database System”, In Proceedings of International Journal of
Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 7, July 2013. 5. T.F. Keefe, W.T. Tsai, J. Srivastava, “Database Concurrency Control In Multilevel Secure Database Management Systems”, IEEE
Transaction on knowledge and Data Engineering, 1993, 5 (6) 1039-1055.
6. Ray, L. V. Mancini, S. Jajodia and E. Bertino, ASEP: A Secure and Flexible Commit Protocol for MLS Distributed Database Systems”, 2000, IEEE Transactions on Knowledge and Data Engineering, 12(6): 880 – 899.
7. S. Mehrotra, R. Rastogi, Y. Breitbart, H. F. Korth, and A. Silberschatz, “The Concurrency Control Problem in Multidatabases:
Characteristics and Solutions”, ACM SIGMOD International Conference on Management of Data, San Diego, California, June 2-5, 1992, pp: 288-297.
10.
Authors: G. Manoharan, K. Nirmala
Paper Title: Process Harmonization of Objects for Learning Grid Computing Environment
Abstract: Advancements in computing and internet technologies have made it possible to share data storage and data
transfer resources, and computing power that are distributed across the world in networks. This opportunity has led to
the development of a distributed computing environment called ‘Grid computing’ or ‘Grid’. Research publications
are aplenty on methodologies and approaches for sharing such resources in Grids. Massive creation added with
reduced cost has made rich education contents to explore avenues such as Education Grids or Education Cloud
Computing. However, issues such as heterogeneity and task scheduling with respect to load balancing have become
complex research problems that need to be addressed. Educational e-contents are highly heterogeneous in regard to
processing sizes. Therefore uniform load balancing on e-Learning jobs in Grids may not be completely achievable.
However, it is found from literature that load harmonization with respect to variety of computing resources have been
tried out. Instructional modules in e-Learning environments are generally available in independent entities called
‘Objects’ of different volumes and computational intensities that use different variety of computing resources. This
paper presents parametric representations of user requests, for Harmonizing Learning Objects in Grid Computing
Environment. These parametric representations would be useful for effective Grid scheduling that applies semantics
and also for modeling semantic grid.
Keywords: Technology Enhanced Learning, Education Grids, Virtual Organization, Semantic representation.
References: 1. Wiki http://en.wikipedia.org/wiki/Semantic web (2012)
2. Ian Foster, Carl Kesselman, Jeffrey M. Nick and Steven Tuecke, “The Physiology of the Grid – An Open Grid Services Architecture for Distributed Systems Integration”, University of Chicago, USA, http://www.globus.org/research/papers/ogsa.pdf.2002
3. Md. Anwar Hossain Masud and Xiaodi Huang, “An E- Learning System Architecture based on Cloud Computing”, World Academy of
Science, Engineering and Technology, 2012, pp 123 – 127. 4. Kokilavani T,and Dr. George Amalarethinam D. I , “Applying Non-Traditional Optimization Techniques to Task Scheduling In Grid
Computing – An Overview”, International Journal of Resrach and Reviews in Computer Sciences, IJRRCS, Vol. 1, No. 4, Dec. 2011, pp
33 - 38. 5. Berners – Lee Tim, Hendler, J and Lassila, O, “The Semantic Web”, Scientific American, USA, 2001.
6. Matteo Gaita, Pierluigi and Domenico Talia, “Grid- Enabled Virtual Organizations for Next-Generation Learning Environments”, IEEE
Transactions on Systems, Vol. 41. No. 4, July 2011pp 784-797 7. Merrill M.D., (2007). “Converting e sub3-learning to e 3rd power-learning: an alternative instructional design method”. In S. Carliner and
P. Shank (Eds.), e-Learning: Lessons Learned, Challenges Ahead (Voices from Academe and Industry). Pfeiffer/Jossey-Bass. Handbook of
Research on Educational Communications and Technology, 2007, New York, USA edited by J. Michael Spector.
8. Nicola CAPUANO, Matteo GAETA, Pierluigi RITROVATO CAMPA, “The Anatomy of the earning Grid”, Ed. CRMPA, Centro di
Ricerea in Matematics, Pura ed Applicate, Italy, 2008. 9. Grid Way System Administrator’s Guide – Globus, www.globus.org/toolkit/docs/4.2/4.2.1/execution/gridway/gridway.pdf 2009
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11.
Authors: Kriti, Jatinder Singh, Vivek Pahwa
Paper Title: Dynamic and Steady State Analysis of Induction Machine
Abstract: In this paper, a model composed of fifth order differential equations of three-phase squirrel cage induction
motor using two axis-theories in synchronously rotating reference frame, for dynamic/transient analysis is developed.
The analysis has been extended to study the behaviour of three-phase induction machine during load changes and
with different MOI’s. The proposed model is implemented using well established and globally accepted software tool
i.e matlab/simulink. Further, the transfer function of three-phase induction machine under consideration is developed
for stability analysis. On the basis of analysis a specific recommendation has been given.
Keywords: Modeling, moment of inertia, (MOI), simulation, stability, three-phase induction machine.
References: 1. Pillay, R. J. Lee. and Harley, R. G. “DQ Reference Frames for the Simulation of Induction Motors”, Electric Power Systems Research,
vol.8 pp.15- 26, 1984.
2. Sandhu, K. S. , Pahwa, Vivek “Simulation Study Of Three-Phase Induction Motor With Variations In Moment Of Inertia” , ARPN Journal of Engineering and Applied Sciences, vol. 4, no. 6, August 2009.
3. Macdonald, Murray L. and Sen, Paresh C. “Control Loop Study of Induction Motor Drives using DQ Model”, IEEE Trans. on Industrial
Electronics and Control Instrumentation, vol. IECI-26, no 4,pp. 237-243, November 1979. 4. A .Alexandrovitz, S. Lechtman “Dynamic Behavior Of Induction Motor Based On Transfer Function Approach”,IEEE 17th Convention on
Electrical and Electronics Engineers in Israel, pp.328-333 March 1991.
5. S.I.Moonand A. Keyhani. 1994. Estimation of Induction Machine Parameters from Standstill Time-Domain Data. IEEE Transactions on
51-56
Industry Applications. 30(6):1609-1615. 6. Bose, Bimal K. “Modern Power Electronics and AC Drives”, Prentice Hall, February 2002
7. Omer M.Awed Badeeb “Investigation Of The Dynamic Performance Of Hysteresis Motors Using Matlab/Simulink” JEE vol 56, pp-106-
109 March 2005. 8. Papathanassiou, S.A. and M. P. Papadopoulos, “State-Space Modelling and Eigenvalue Analysis of the Slip Energy Recovery Drive”, IEE
Proc. on Electrical Power Applications, vol. 144, no. I,pp. 27-36, January 1997.
9. Krause, P.C. “Analysis of Electric Machinery,” IEEE Press New Jersy 1986. 10. Krishnan, R. “Electric Motor Drives,” Pearson Prantice Hall, 2007.
11. Chee-Mun Ong “Dynamic simulation of electric machinery using matlab/simulink”, Prentice Hall, New Jersey,1998.
12. Nelson, R. H., Lipo, A.T. and Krause, P.C. “Stability Analysis of a Symmetrical Induction Machine”, IEEE Trans. on Power Apparatus and Systems, vol. PAS-88, no. 11,pp. 1710-1717, November 1969.
12.
Authors: Amogh Waghmare, Sheldon Fernandes, Adesh Shetty, Shraddha Thakkar, Sharad Venkataraman
Paper Title: Radio Detection of Meteor using Forward Scattering
Abstract: In the current scenario, it is a common practice at an amateur level to observe meteor showers through our
naked eye. But many obstacles have been encountered while observing the meteor showers; such as bad weather and
light conditions. In this paper, a cost-efficient method has been proposed to observe and analyze characteristics of
meteor shower, based on the 'forward scattering principle’. The proposed model has been tested and results have
been presented in the paper.
Keywords: Data Logger, Forward Scattering, Meteor, Meteor Burst Communication, Meteor Shower, Yagi Uda
Antenna, Zenithal hour rate.
References: 1. Kanefsky, Bob, Nadine G. Barlow, and Virginia C. Gulick. "Can distributed volunteers accomplish massive data analysis tasks?" Lunar and
Planetary Science 1 (2001). Available:
2. McKinley D.W.R., ``Meteor science and engineering,'' McGraw-Hill, 1961. 3. Fukuda, Akira, et al. "Experiments on meteor burst communications in the Antarctic." Adv. Polar Upper Atmos. Res 17 (2003): 120-136.
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13.
Authors: Ashok Kumar Arroju, G. V. S. S. N.Sarma, Himani
Paper Title: Performance Analysis of Three-Phase Three-Leg AC/AC Converter using SPWM and SVPWM
Abstract: This paper proposes a three-phase nine switch ac/ac converter topology. This converter features
sinusoidal inputs and outputs, unity input power factor, and more importantly, low manufacturing cost due to
its reduced number of active switches. A suitable pulse width modulation (PWM) technique is employed to obtain
the required output voltage. The different methods for PWM generation can be broadly classified into Triangle
comparison based PWM (TCPWM) and Space Vector based PWM (SVPWM). In TCPWM methods such as sine-
triangle PWM, three phase reference modulating signals are compared against a common triangular carrier to
generate the PWM signals for the three phases. In SVPWM methods, a revolving reference voltage vector is
provided as voltage reference instead of three phase modulating waves. The magnitude and frequency of the
fundamental component in the line side are controlled by the magnitude and frequency, respectively, of the reference
vector. The highest possible peak phase fundamental is very less in sine triangle PWM when compared with space
vector PWM. Space Vector Modulation (SVM) Technique has become the important PWM technique for three phase
AC-AC converters for the control of AC Induction, Brushless DC, Switched Reluctance and Permanent Magnet
Synchronous Motors. The study of space vector modulation technique reveals that space vector modulation technique
utilizes DC bus voltage more efficiently and generates less harmonic distortion when compared with Sinusoidal
PWM (SPWM) technique. In this paper first a model for Space vector PWM is made and simulated using
MATLAB/SIMULINK software and its performance is compared with Sinusoidal PWM. The simulation study
reveals that Space vector PWM utilizes dc bus voltage more effectively and generates less THD when compared with
sine PWM.
Keywords: AC/AC converter, pulse width modulation (PWM), reduced switch count topology.
References: 1. B. Wu, High-power Converters and AC Drives. Piscataway, NJ: IEEE/Wiley, 2006.
2. B. Singh, B. N. Singh, A. Chandra, K. Al-Haddad, A. Pandey, and D. P. Kothari, “A review of three-phase improved power quality AC–
DC converters,” IEEE Trans. Ind. Electron., vol. 51, no. 3, pp. 641–660, Jun. 2004. 3. F. Blaabjerg, S. Freysson, H. H. Hansen, and S. Hansen, “A new optimized space-vector modulation strategy for a component-minimized
voltage source inverter,” IEEE Trans. Power Electron., vol. 12, no. 4, pp. 704–714, Jul. 1997.
4. R. L. A. Ribeiro, C. B. Jacobina, E. R. C. da Silva, and A. M. N. Lima, “AC/AC converter with four switch three phase structures,” in Proc. IEEE PESC, 1996, vol. 1, pp. 134–139.
5. K. Gi-Taek and T. A. Lipo, “VSI-PWM rectifier/inverter system with areduced switch count,” IEEE Trans. Ind. Appl., vol. 32, no. 6, pp.
1331–1337, Nov./Dec. 1996. 6. A. Bouscayrol, B. Francois, P. Delarue, and J. Niiranen, “Control imple- mentation of a five-leg AC–AC converter to supply a three-phase
induction machine,” IEEE Trans. Power Electron., vol. 20, no. 1, pp. 107–115, Jan.2005. 7. C. B. Jacobina, I. S. de Freitas, E. R. C. da Silva, A. M. N. Lima, and R. L. A. Ribeiro, “Reduced switch count DC-link AC–AC five-leg
con- verter,” IEEE Trans. Power Electron., vol. 21, no. 5, pp. 1301–1310, Sep.2006.
8. C. B. Jacobina, I. S. de Freitas, and A. M. N. Lima, “DC-link three-phase- to-three-phase four-leg converters,” IEEE Trans. Ind. Electron., vol. 54, no. 4, pp. 1953–1961, Aug. 2007.
9. J. Minibock and J. W. Kolar, “Novel concept for mains voltage propor- tional input current shaping of a VIENNA rectifier eliminating
controller multipliers,” IEEE Trans. Ind. Electron., vol. 52, no. 1, pp. 162–170, Feb.2005. 10. T. Nussbaumer, M. Baumann, and J. W. Kolar, “Comprehensive design of a three-phase three-switch buck-type PWM rectifier,” IEEE
Trans. Power Electron., vol. 22, no. 2, pp. 551–562, Mar. 2007.
11. F. A. B. Batista and I. Barbi, “Space vector modulation applied to three- phase three-switch two-level unidirectional PWM rectifier,” IEEE Trans. Power Electron., vol. 22, no. 6, pp. 2245–2252, Nov. 2007.
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12. P. W. Wheeler, J. Rodriguez, J. C. Clare, L. Empringham, and A. Weinstein, “Matrix converters: A technology review,” IEEE Trans. Ind. Electron., vol. 49, no. 2, pp. 276–288, Apr. 2002.
13. L. Wei, T. A. Lipo, and H. Chan, “Matrix converter topologies with reduced number of switches,” in Proc. IEEE PESC, 2002, vol. 1, pp.
57–63. 14. J. W. Kolar, F. Schafmeister, S. D. Round, and H. Ertl, “Novel three-phase AC–AC sparse matrix converters,” IEEE Trans. Power
Electron., vol. 22, no. 5, pp. 1649–1661, Sep. 2007.
15. A. M. Hava, R. J. Kerkman, and T. A. Lipo, “Simple analytical and graphical methods for carrier-based PWM–VSI drives,” IEEE Trans. Power Electron., vol. 14, no. 1, pp. 49–61, Jan. 1999.
16. F. Blaabjerg, U. Jaeger, and S. Munk-Nielsen, “Power losses in PWM–VSI inverter using NPT or PT IGBT devices,” IEEE Trans. Power
Electron., vol. 10, no. 3, pp. 358–367, May 1995. 17. Infineon Technologies, Application Note ANIP9931E—Calculation of Major IGBT Operating Parameters. Germany: Infineon
Technologies,
14.
Authors: Ibraheem Idrees, Yassir Mohammad
Paper Title: Charger for Lead-Acid Batteries
Abstract: In this paper some important charging method for rechargeable batteries and its charging circuits are
introduced. A smart battery charger circuit of about (225 watt) based on a dc/dc half-bridge converter is presented,
designed and analyzed in this research. This charger is able to control the values of the load voltage and current and
then, maintain them at a desirable value. A first converter is used to convert the grid 50 Hz electrical quantities into
dc quantities. A second converter adjusts the levels to the values required by the battery and moreover, provides a
galvanic isolation. MATLAB/Simulink program is used to simulate the presented charging circuit, and model of
lead-acid battery is used to simulate the battery performance. The main results which obtained from applying the
constant voltage method, constant current constant voltage method, and modified constant current constant voltage
method are highlighted and investigated.
Keywords: Rechargeable batteries, charger, Battery Charging Method, Matlab simulation.
References: 1. Ying-Chun Chuang " High-Efficiency ZCS Buck Converter for Rechargeable Batteries " IEEE Transactions on Industrial Electronics, Vol.
57,No.7,pp. 2463- 2472,July 2010
2. Ying-Chun Chuang, Yu-Lung Ke, Hung-Shiang Chuang and Yu-Min Chen ''Analysis and Implementation of Half-Bridge Series–Parallel Resonant Converter for Battery Chargers" IEEE Transactions on Industry Applications, Vol. 47,No.1, pp. 258-270, Jan.-Feb. 2011.
3. David Linden and Thomas B. Reddy"HANDBOOK OF BATTERIES" The McGraw-Hill Companies, Third Edition, Inc, 2002.
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15.
Authors: Hemalatha R, Poorvi K. C, Dharmalingam M
Paper Title: Tactile Sensation Imaging Technique for Embedded Lesion Detection
Abstract: In this paper we proposed tactile sensation imaging technique with supple waveguide and total internal
reflection principle. The technique can also be used to detect and identify enclosures within tissues. In order to
examine the performance of the proposed sensor, a realistic tissue vision with inclusions are integrated to emulate the
tumors models. The proposed tactile imaging sensor can be implemented within inclusion diameter of 4.09% and the
inclusion depth within 7.55%. From the planned characterization method the size, depth, and Young’s modulus
values are calculated using FEM and LMA algorithm.
Keywords: Tactile sensation imaging, Inclusion, FEM, LMA, Total internal Reflection.
References: 1. Jong-Ha Lee and Chang-Hee Won., Tactile Sensation Imaging System of IEEE transaction Journal of Bioimedical and Helath
informatics,March(2013)
2. Sojaku, H., Seto, H., Iwai, H., Kitazawa, S., Fukushima, W., Saito, K.: Detection of Incidental Breast Tumors by Noncontrast Spiral Computed Tomography of the Chest. Radiat. Med. 3, 780-782 (2008)
3. Gentle, C.R.: Mammobarography: A Possible Method of Mass Breast Screening. J.Biomech. Eng. 10, 124-126 (1998)
4. Wellman, P.S., Dalton, E.P., Krag, D., Kern, K.A., Howe, R.D.: Tactile Imaging of Breast Masses. Arch. Sur. 136, 204-208 (2001) 5. Howe, R.D., Matsuoka, Y.: Robotics for Surgery. Annual Review of Biomedical Engineering. 1, 211-240 (1999)
6. Krouskop, T.A., Wheeler, T.B., Kallel, F., Garra, B.S., Hall, T.: Elastic Moduli of Breast and Prostate Tissues under Compression.
Ultrason.Imaging. 20, 260-274 (1998) 7. Chang-Yen, D.A., Eich, R.K., Gale, B.K.: A Monolithic PDMS Waveguide SystemFabricated using Soft-lithography Techniques. J. Light.
Tech. 23, 2088-2093 (2005)
8. Kandel, E., Schwartz, J., Jessell, T.: Principles of Neural Science. McGraw-Hill Medical (2000)
70-72
Authors: Abhijit A. Patil, Uday C. Kapale , P. B. Gangawati
Paper Title: Augmentation of Heat Transfer in Laminar Flow Using Full Length Aluminum Twisted Tape
Abstract: Low fluid velocity results in small overall heat transfer coefficient as the rate of heat transfer mainly
depends upon the movement of molecules of fluids. Towards the goal of improved thermal management heat transfer
augmentation is a subject of vital importance in increasing the heat transfer rate and achieving higher efficiency. The
need to increase the thermal performance of heat based equipment like ovens, furnaces, and heat exchangers, thereby
effecting energy, material, and cost savings as well as a consequential mitigation of environmental degradation had
led to the development and use of many heat transfer enhancement techniques. Sixteen different enhancement
techniques have been identified by A.E. Bergles [1], which can be classified broadly as passive and active
techniques. Primarily, heat transfer augmentation methods are classified in three broad categories as Active method,
Passive method and Compound method. The effectiveness of any of these methods is strongly dependent on the
mode of heat transfer (single-phase free or forced convection, pool boiling, forced convection boiling or
condensation, and convective mass transfer), and type and process application of the heat exchanger. Several options
are available for enhancing heat transfer associated with internal flows. Enhancement may be achieved by increasing
16.
the convection coefficient and/or by increasing the convection surface area. The wire inserts or says tape provides a
helical roughness element in contact with the tube inner surface. Alternatively the convection coefficient may be
increased by inducing the swirl through insertion of a twisted tape. The inserts consist of a thin strip that is
periodically twisted through 360 degrees. Tape inserts are inexpensive and can be easily employed to improve the
thermal performance of existing system. Introduction of a tangential velocity component increases the speed of the
flow, particularly near the tube wall. By coiling the tube the heat transfer may be enhanced without turbulence or
additional heat transfer surface area. In this experimental project a continuous twisted insert of Aluminium material
is used to study the effect of insert on different parameters like Overall heat transfer coefficient, Reynolds Number,
Effectiveness, and the Temperature Variation etc. This paper gives revising the use of such techniques by using
twisted aluminum tape to understand the enhancement in rate of heat transfer for pipe flow. Numbers of cases are
studied by using heat exchanger with and without inserts, changing the condition of flow as parallel and counter flow
and also by changing the path of hot fluid
Keywords: Active techniques. Primarily, heat transfer augmentation methods, Overall heat transfer coefficient,
Reynolds Number, Effectiveness, and the Temperature Variation.
References: 1. W.J. Marner and A.E. Bergles,‘Augmentation of highly viscous laminar heat transfer inside tubes with constant wall temperature’,
Experimental Thermal and Fluid Science,Volume 2, Issue 3, July 1989, Pages 252–267,Heat Transfer Research, Inc., Alhambra, California,
USA and Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA.
2. J.P. Du Plessis and D.G. Kröger, ‘Heat transfer correlation for thermally developing laminar flow in a smooth tube with a twisted-tape insert’, International Journal of Heat and Mass Transfer, Volume 30, Issue 3, March 1987, Pages 509–515Department of Mechanical
Engineering, University of Stellenbosch, Stellenbosch, South Africa and Department of Applied Mathematics, University of Stellenbosch,
Stellenbosch, South Africa. 3. WatcharinNoothong, Smith Eiamsa-ard and PongjetPromvonge, ‘Effect of Twisted-tape Inserts on Heat Transfer in a tube’, The 2nd Joint
International Conference on “ Sustainable Energy and Environment (SEE 2006)”,21-23 November 2006, Bangkok, Thailand.
4. P.K. Nagrajan and P. Sivashanmugam, ‘heat Transfer Enhancement Studies in a Circular Tube Fitted with Right-Left Helical Inserts with Spacer’, World Academy of Science, Engineering and Technology 58 2011.
5. V. N. Kapatkar, A. S. Padalkar and Sanjay Kasbe, ‘Experimental Investigation on Heat Transfer Enhancement in Laminar Flow in Circular
Tube Equipped with Different Inserts’, Proc. Of Int. Con. On Advances in Mechanical Engineering 2010, AMAE 6. Siva Rama Krishna, GovardhanPathipaka, P. Sivashanmugam ‘Heat transfer and pressure drop studies in a circular tube fitted with straight
full twist’,Heat Transfer Laboratory, Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu
620 015, India. 7. M.A. Akhavan-Behabadi, Ravi Kumar , M.R. Salimpour and R. Azimi, ‘Pressure drop and heat transfer augmentation due to coiled wire
inserts during laminar flow of oil inside a horizontal tube’, International Journal Thermal Sciences,Volume 49, Issue 2, February 2010,
Pages 373–379 8. S. Naga Sarda, A.V. Sita Rama Raju, K. KalyaniRadha and Shyam Sunder, ‘Enhancement of heat transfer using varying width twisted tape
inserts’, International Journal of Engineering, Science and Technology, Vol. 2, No. 6, pp. 107-118.
9. S.K. Saha, A. Dutta and S.K. Dhal ‘Friction and heat transfer characteristics of laminar swirl flow through a circular tube fitted with regularly spaced twisted-tape elements’ dept. of mech. Engg. , Daltech, Dalhousie University, Halifax, Nova, Scotia B3J 2X4, Canada,
received in revised form 16 February 2001
10. Incropera, Dewitt, Bergmann, Lavine, ‘Fundamentals of Heat and Mass Transfer’, Willy India Edition, p.p.505 to 524. 11. Yunus A. CENGAL & Afshin J. Ghajar, Heat and mass transfer fundamental and application, McGraw Hill Publications.
12. J. P. Holman Heat and mass transfer, McGraw Hill Publications.
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17.
Authors: Hajar Zare Bahramabadi, Hamidreza Dalili Oskouei, Asghar Ebrahimi
Paper Title: Design Low Power Full-Adders for Arithmetic Applications
Abstract: This paper presents low power CMOS full adder cells. The full adder cells are utilization to low power by
using XOR and XNOR gate architectures with pass transistor logic and transmission gate. All simulation results have
been carried out by using HSPICE program simulator based on 22 nm CMOS technology at 1.2 V supply voltages.
The operating frequency is 250 MHz. In comparison with other 1 bit adder cells, simulation results show that have
used low power consumption and power delay product of SUM and COUT.
Keywords: A CMOS full adder, XNOR-XOR gate, low power full adder.
References: 1. N. H. E. Weste and D. Harris, "CMOS VLSI Design: A Circuit and Systems Perspective," Third Edition," Addison Wesley, 2005.
2. AP. Chandrakasan, S.Sheng, and R.W.Brodersen, Low-Power CMOS digital design," IEEE 1. Solid-State Circuit, vol. 27, pp. 473-483,
Apr. 1992. 3. 1.B Kuo and 1.-H. Lou, "Low-Voltage CMOS VLSI Circuit," John Wiley & Sons, Inc.,1999.
4. S.M. kang, and L.Yusuf, "CMOS Digital integrated circuit Analysis and Design," McGraw-Hili, 1999.
5. M. Zhang, 1. Gu, and C. H. Chang, "A novel hybrid pass logic with static CMOS output drive full-adder cell," Proc. 36th IEEE Int Symp. Circuits and Systems, vol. Y, Bangkok, Thailand, May 2003, pp. 317-320.
6. C. K. Tung, Y. C. Hung, S. H. Shieh, and G. S. Huang, "A Low- Power High-Speed Hybrid CMOS Full Adder for Embedded System,"
Design and Diagnostics of Electronic Circuits and Systems IEEE, April 2007, Page(s): 1-4. 7. 1. F. Jiang, Z. G. Mao, W. F. He, Q. Wang, "A new full adder design for tree structured arithmetic circuits," Proc. 2nd Int Conf on (ICCET
2010), voL4, pp.Y4-246-V4-249, 16-18 April, 2010.
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Authors: Milad Razmi, Ali Rafiee, Zoheir Kordrostami
Paper Title: Noise Reduction of Hyperspectral Imagery Nonlocal Sparse Representation
Abstract: Noise reduction is always an active research area in image processing due to its importance for the
sequential tasks such as object classification and detection. In this paper, we develop a sparse representation based
noise reduction method for hyperspectral imagery, which is dependent on the ssumption that the non-noise
component in the signal can be approximated by only a small number of atoms in a dictionary while noise
component has not this property. The main contribution of the paper is in introducing nonlocal similarity and
spectralspatial structure of hyperspectral imagery into sparse representation. Non-locality means the self-similarity of
18.
image, by which the whole image can be partitioned into some groups containing similar patches. The similar
patches in each group is sparsely represented with shared atoms making the signal and noise more easily separated.
Sparse representation with spectral-spatial structure can exploit spectral and spatial joint correlations of hyperspectral
imagery also making the signal and noise more distinguished, in which 3-D blocks are instead of 2-D patches for
sparse coding. The experimental results indicate that the proposed method has a good quality of restoring the true
signal from the noisy observation.
Keywords: Hyperspectral imagery, noise reduction, sparse representation, nonlocal similarity, spectral-spatial
structure.
References: 1. N. Renard, S. Bourennane, and J. Blanc-Talon, "Denoising and dimensionality reduction using multilinear tools for hyperspectral images,"
IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2, pp. 138-142, 2008.
2. G. Chen and S. Qian, "Denoising and dimensionality reduction of hyperspectral imagery using wavelet packets, neighbour shrinking and
principal component analysis," International Journal of Remote Sensing, vol. 30, no. 18, pp.4889-4895,2009. 3. J. Mairal, M. Elad, and G. Sapiro, "Sparse representation for color image restoration," IEEE Trans. Image Processing, vol. 17, no. I, pp. 53-
69, 2008.
4. A. Buades, B. Coli, and J. M. Morel, "A review of image denoising algorithms, with a new one," Multisc. Model. Simulat., vol. 4, no. 2, pp. 490-530, 2005.
5. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Non-local sparse models for image restoration," in IEEE 12th International
Conference on Computer Vision, 2009, pp.2272-2279. 6. S. Bourguignon, D. Mary, and E. Slezak, "Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to
the muse instrument," in 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010.
7. J. F. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 315, pp. 972-976, 2007. 8. J. Liu, S. Ji, and J. Ye, "Multi-task feature learning via efficient l2,1-norm minimization," in Uncertainty in A rtificiallntelligence (UAl),
2009.
82-85
19.
Authors: Majid Fereidoon, Majid Najimi, Gholamreza Khorasani
Paper Title: Simulation of Hydropower Systems Operation using Artificial Neural Network
Abstract: This paper presents a simulation model for hydropower systems. Reliability-Based Simulation (RBS)
model is a common tip for simulation of Hydropower systems. This method is based on determination of power
generation capacity using iteration process mentioned initial firm energy. Also, in this method energy equation is
implicit and solving it requires the iteration process too. This method is time consuming especially in multi-reservoir
systems. Using Artificial Neural Network (ANN) the desired parameter such as releases from reservoir can be
obtained more quickly.
Keywords: RBS model, Hydropower systems, Artificial Neural Network.
References: 1. Archer, R., Zakeri, G., Auckland, , U., Vaudrey, T., 2005. Splines as an Optimization Tool Optimization Tool Petroleum Engineering. SPE
95601. SPE Annual Technical Conference and Exhibition, 9–12 October, Dallas, Texas. Society of Petroleum Engineers.
2. Bower, L., Hufschmidt, M. M., and reedy, W. H. (1962). “Operating procedures: their role in the design and implementation of water water
reaources systems bby simulation analysis.’ Design of water resource systems, A. Mass et al., eds., Harvard Univ. Press, Cambridge, Mass., 443- 458.
3. Clark, E. J. (1950). “New York control curves.” J. Am. Water Works Assoc., 42(9), 823- 827.
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20.
Authors: Milad Razmi, Ali Rafiee, Zoheir Kordrostami
Paper Title: Noise Reduction in Hyperspectral Images Through Spectral Unmixing
Abstract: Spectral unmixing and denoising of hyperspectral images have always been regarded as separate
problems. By considering the physical properties of a mixed spectrum, this letter introduces unmixing-based
denoising, a supervised methodology representing any pixel as a linear combination of reference spectra in a
hyperspectral scene. Such spectra are related to some classes of interest, and exhibit negligible noise influences, as
hey are averaged over areas for which ground truth is available. After the unmixing process, the residual vector is
mostly composed by the contributions of uninteresting materials, unwanted atmospheric influences and sensor-
induced noise, and is thus ignored in the reconstruction of each spectrum. The proposed method, in spite of its
simplicity, is able to remove noise effectively for spectral bands with both low and high signal-to-noise ratio.
Experiments show that this method could be used to retrieve spectral information from corrupted bands, such as the
ones placed at the edge between ultraviolet and visible light frequencies, which are usually discarded in practical
applications. The proposed method achieves better results in terms of visual quality in comparison to competitors, if
the mean squared error is kept constant. This leads to questioning the validity of mean squared error as a predictor for
image quality in remote sensing applications.
Keywords: Denoising, hyperspectral images, image restoration, mean squared error, spectral unmixing.
90-94
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21.
Authors: Bharti Tiwari, Papiya Dutta, Neha Shrivastava
Paper Title: Kalman Filter for Mimo of DM Highly Noise Resistive Communication
Abstract: Signals are carriers of information, both useful and unwanted. Extracting or enhancing the useful
information from a mix of conflicting information is a simplest form of signal processing. Acoustic noise problems
becomes more pronounce as increase in number of industrial equipment such as engines, transformers, compressors
and blowers are in use. An adaptive filter is a filter that self-adjusts its transfer function according to an
optimization algorithm driven by an error signal. Adaptive filtering is a wide area of researcher in present decade in
the field of communication. Adaptive noise cancellation is an approach used for noise reduction in speech signal.
This paper works we presents an algorithm for performing effective channel estimation for multiple inputs multiple
outputs (MIMO), the channel estimation is performed using an proposed Extended Kalman Filter (EKF).
Keywords: Extracting or enhancing the useful information.
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Sachin. P.V , P.Sudheesh, (ICDCS), IEEE Explore, pp 466 – 469, March 2012
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9. An Affine Combination of Two LMS Adaptive Filters—Transient Mean-Square Analysis Neil J. Bershad, Fellow, IEEE, José Carlos M. Bermudez, Senior Member, IEEE, and Jean-Yves Tourneret, Member, IEEE, IEEE TRANSACTIONS ON SIGNAL PROCESSING,
VOL. 56, NO. 5, MAY 2008
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