Table Of ContentLecture Notes in Networks and Systems 43
P. Nagabhushan
D. S. Guru
B. H. Shekar
Editors
Y. H. Sharath Kumar
Data
Analytics and
Learning
Proceedings of DAL 2018
Lecture Notes in Networks and Systems
Volume 43
Series editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
e-mail: [email protected]
The series “Lecture Notes in Networks and Systems” publishes the latest
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Advisory Board
FernandoGomide,DepartmentofComputerEngineeringandAutomation—DCA,Schoolof
Electrical and Computer Engineering—FEEC, University of Campinas—UNICAMP,
São Paulo, Brazil
e-mail: [email protected]
Okyay Kaynak, Department of Electrical and Electronic Engineering, Bogazici University,
Istanbul,Turkey
e-mail: [email protected]
Derong Liu, Department of Electrical and Computer Engineering, University of Illinois
at Chicago, Chicago, USA and Institute of Automation, Chinese Academy of Sciences,
Beijing,China
e-mail: [email protected]
WitoldPedrycz,DepartmentofElectricalandComputerEngineering,UniversityofAlberta,
Alberta, Canada and Systems Research Institute, Polish Academy of Sciences, Warsaw,
Poland
e-mail: [email protected]
Marios M. Polycarpou, KIOS Research Center for Intelligent Systems and Networks,
DepartmentofElectricalandComputerEngineering,UniversityofCyprus,Nicosia,Cyprus
e-mail: [email protected]
Imre J.Rudas, ÓbudaUniversity,Budapest Hungary
e-mail: [email protected]
Jun Wang, Departmentof Computer Science, City University of Hong Kong
Kowloon, HongKong
e-mail: [email protected]
More information about this series at http://www.springer.com/series/15179
P. Nagabhushan D. S. Guru
(cid:129)
B. H. Shekar Y. H. Sharath Kumar
(cid:129)
Editors
Data Analytics and Learning
Proceedings of DAL 2018
123
Editors
P. Nagabhushan B. H.Shekar
Indian Institute of Information Technology DepartmentofStudiesinComputer Science
Allahabad, Uttar Pradesh, India MangaloreUniversity
Mangalore, Karnataka,India
D.S.Guru
Department ofComputer Science Y.H.SharathKumar
andEngineering, CBCSEducation Department ofInformation Science
University of Mysore andEngineering
Mysuru,Karnataka, India MaharajaInstitute of Technology
Belawadi, Karnataka,India
ISSN 2367-3370 ISSN 2367-3389 (electronic)
Lecture Notesin Networks andSystems
ISBN978-981-13-2513-7 ISBN978-981-13-2514-4 (eBook)
https://doi.org/10.1007/978-981-13-2514-4
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Preface
We write this message with deep satisfaction to the proceedings of the “First
International Conference on Data Analytics and Machine Learning 2018
(DAL 2018)”held onMarch 30and31, 2018,atMysore,Karnataka, India, which
has the central theme “Data Analytics and its Application.” Our research experi-
ences in related areas for the last decade have inspired us to conduct DAL 2018.
This conference was planned to provide a platform for researchers from both
academia and industries where they can discuss and exchange their research
thoughts to have better future research plans, particularly in the fields of data
analytics and machine learning. Soon after we notified a call for original research
papers,therehasbeenatremendousresponsefromtheresearchers.Therewere150
paperssubmitted,outofwhichwecouldaccommodateonly50papersbasedonthe
reports of the reviewers. Each paper was blindly reviewed by at least two experts
fromtherelatedareas.Theoverallacceptancerateisabout30%.Theconferenceis
aimed at image processing, signal processing, pattern recognition, document pro-
cessing, biomedical processing, computer vision, biometrics, data mining and
knowledge discovery, information retrieval and information coding. For all these
areas,wegotanumberofpapersreflectingtheirrightcombinations.Ihopethatthe
readerswillappreciateandenjoythepaperspublishedintheproceedings.Wecould
make thisconference asuccessfulone,though it was launched ata relatively short
notice. It was because of the good response from the research community and the
goodeffortputinbythereviewerstosupportuswithtimelyreviews.Theauthorsof
all the papers submitted deserve our acknowledgments. The proceedings are pub-
lishedandindexedbySpringer-LNEE,whichisknownforbringingoutthistypeof
proceedings. Special thanks to them.
v
vi Preface
We would also like to thank the help of EasyChair in the submission, review,
and proceedings creation processes. We are very pleased to express our sincere
thanks to Springer, especially Jayanthi Narayanaswamy, Jayarani Premkumar,
AnindaBose,andtheeditorialstaff,fortheirsupportinpublishingtheproceedings
of DAL 2018.
Allahabad, India Dr. P. Nagabhushan
Mysuru, India Dr. D. S. Guru
Mangalore, India Dr. B. H. Shekar
Belawadi, India Dr. Y. H. Sharath Kumar
Contents
Recognition of Seven-Segment Displays from Images
of Digital Energy Meters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Thotreingam Kasar
An Enhanced Task Scheduling in Cloud Computing Based
on Hybrid Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Mokhtar A. Alworafi, Atyaf Dhari, Sheren A. El-Booz, Aida A. Nasr,
Adela Arpitha and Suresha Mallappa
A Moment-Based Representation for Online Telugu Handwritten
Character Recognition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
Krishna Chaithanya Movva and Viswanath Pulabaigari
A Switch-Prioritized Load-Balancing Technique in SDN . . . . . . . . . . . . 39
K. A. Vani, J. Prathima Mabel and K. N. Rama Mohan Babu
A Robust Human Gait Recognition Approach
Using Multi-interval Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
V. G. Manjunatha Guru and V. N. Kamalesh
Keyword Spotting in Historical Devanagari Manuscripts
by Word Matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65
B. Sharada, S. N. Sushma and Bharathlal
A Parallel Programming Approach for Estimation of Depth
in World Coordinate System Using Single Camera . . . . . . . . . . . . . . . . 77
C. Rashmi and G. Hemantha Kumar
An Alternate Voltage-Controlled Current Source for Electrical
Impedance Tomography Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . 93
Venkatratnam Chitturi and Nagi Farrukh
vii
viii Contents
Analyzing and Comparison of Movie Rating Using Hadoop
and Spark Frame Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
Akshaya Devadiga, C. V. Aravinda and H. N. Prakash
Classification of Osteoarthritis-Affected Images Based on Edge
Curvature Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111
Ravindra S. Hegadi, Trupti D. Pawar and Dattatray I. Navale
Identification of Knee Osteoarthritis Using Texture Analysis . . . . . . . . . 121
Ravindra S. Hegadi, Umesh P. Chavan and Dattatray I. Navale
Logo Retrieval and Document Classification Based
on LBP Features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
C. Veershetty and Mallikarjun Hangarge
Semantic Relatedness Measurement from Wikipedia and WordNet
Using Modified Normalized Google Distance . . . . . . . . . . . . . . . . . . . . . 143
Saket Karve, Vasisht Shende and Swaroop Hople
Design and Simulation of Neuro-Fuzzy Controller for Indirect
Vector-Controlled Induction Motor Drive. . . . . . . . . . . . . . . . . . . . . . . . 155
B. T. Venu Gopal and E. G. Shivakumar
Entropy-Based Approach for Enabling Text Line Segmentation
in Handwritten Documents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169
G. S. Sindhushree, R. Amarnath and P. Nagabhushan
Automated Parameter-Less Optical Mark Recognition. . . . . . . . . . . . . . 185
N. C. Dayananda Kumar, K. V. Suresh and R. Dinesh
A Bimodal Biometric System Using Palmprint and Face Modality . . . . 197
N. Harivinod and B. H. Shekar
Circular Map Pattern Spectrum—An Accurate Descriptor
for Shape Representation and Classification . . . . . . . . . . . . . . . . . . . . . . 207
Bharathi Pilar and B. H. Shekar
Features Fusion for Retrieval of Flower Videos . . . . . . . . . . . . . . . . . . . 221
D. S. Guru, V. K. Jyothi and Y. H. Sharath Kumar
Offline Signature Verification: An Approach Based
on User-Dependent Features and Classifiers . . . . . . . . . . . . . . . . . . . . . . 235
K. S. Manjunatha, H. Annapurna and D. S. Guru
Simple DFA Construction Algorithm Using Divide-and-Conquer
Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245
Darshan D. Ruikar and Ravindra S. Hegadi
Estimating the Rating of the Reviews Based on the Text . . . . . . . . . . . . 257
Mohammadamir Kavousi and Sepehr Saadatmand
Contents ix
Multimodal Biometric Recognition System Based
on Nonparametric Classifiers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269
H. D. Supreetha Gowda, G. Hemantha Kumar and Mohammad Imran
ClassificationofMulti-classMicroarrayCancerDataUsingEnsemble
Learning Method. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279
B. H. Shekar and Guesh Dagnew
A Study of Applying Different Term Weighting Schemes on Arabic
Text Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293
D. S. Guru, Mostafa Ali, Mahamad Suhil and Maryam Hazman
A Survey on Different Visual Speech Recognition Techniques . . . . . . . . 307
Shabina Bhaskar, T. M. Thasleema and R. Rajesh
Activity Recognition from Accelerometer Data Using Symbolic
Data Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317
P. G. Lavanya and Suresha Mallappa
Automated IT Service Desk Systems Using Machine Learning
Techniques. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331
S. P. Paramesh and K. S. Shreedhara
Automatic Segmentation and Breast Density Estimation for Cancer
Detection Using an Efficient Watershed Algorithm. . . . . . . . . . . . . . . . . 347
Tejas Nayak, Nikitha Bhat, Vikram Bhat, Sannidhi Shetty,
Mohammed Javed and P. Nagabhushan
Offline Signature Verification Based on Partial Sum of Second-Order
Taylor Series Expansion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359
B. H. Shekar, Bharathi Pilar and D. S. Sunil Kumar
Urban LULC Change Detection and Mapping Spatial Variations
of Aurangabad City Using IRS LISS-III Temporal Datasets and
Supervised Classification Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369
Ajay D. Nagne, Amol D. Vibhute, Rajesh K. Dhumal, Karbhari V. Kale
and S. C. Mehrotra
Study of Meta-Data Enrichment Methods to Achieve
Near Real Time ETL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387
N. Mohammed Muddasir and K. Raghuveer
BornBaby Model for Software Synthesis. . . . . . . . . . . . . . . . . . . . . . . . . 403
H. L. Gururaj and B. Ramesh
Lung Cancer Detection Using CT Scan Images: A Review
on Various Image Processing Techniques . . . . . . . . . . . . . . . . . . . . . . . . 413
A. P. Ayshath Thabsheera, T. M. Thasleema and R. Rajesh
