Table Of ContentAdvances in Intelligent Systems and Computing 1257
Vijendra Singh
Vijayan K. Asari
Sanjay Kumar
R. B. Patel Editors
Computational
Methods
and Data
Engineering
Proceedings of ICMDE 2020, Volume 2
Advances in Intelligent Systems and Computing
Volume 1257
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Nikhil R. Pal, Indian Statistical Institute, Kolkata, India
Rafael Bello Perez, Faculty of Mathematics, Physics and Computing,
Universidad Central de Las Villas, Santa Clara, Cuba
Emilio S. Corchado, University of Salamanca, Salamanca, Spain
Hani Hagras, School of Computer Science and Electronic Engineering,
University of Essex, Colchester, UK
László T. Kóczy, Department of Automation, Széchenyi István University,
Gyor, Hungary
Vladik Kreinovich, Department of Computer Science, University of Texas
at El Paso, El Paso, TX, USA
Chin-Teng Lin, Department of Electrical Engineering, National Chiao
Tung University, Hsinchu, Taiwan
Jie Lu, Faculty of Engineering and Information Technology,
University of Technology Sydney, Sydney, NSW, Australia
Patricia Melin, Graduate Program of Computer Science, Tijuana Institute
of Technology, Tijuana, Mexico
NadiaNedjah,DepartmentofElectronicsEngineering,UniversityofRiodeJaneiro,
Rio de Janeiro, Brazil
Ngoc Thanh Nguyen , Faculty of Computer Science and Management,
Wrocław University of Technology, Wrocław, Poland
Jun Wang, Department of Mechanical and Automation Engineering,
The Chinese University of Hong Kong, Shatin, Hong Kong
Theseries“AdvancesinIntelligentSystemsandComputing”containspublications
on theory, applications, and design methods of Intelligent Systems and Intelligent
Computing.Virtuallyalldisciplinessuchasengineering,naturalsciences,computer
and information science, ICT, economics, business, e-commerce, environment,
healthcare,lifesciencearecovered.Thelistoftopicsspansalltheareasofmodern
intelligentsystemsandcomputingsuchas:computationalintelligence,softcomput-
ingincludingneuralnetworks,fuzzysystems,evolutionarycomputingandthefusion
of these paradigms, social intelligence, ambient intelligence, computational neuro-
science, artificial life, virtual worlds and society, cognitive science and systems,
Perception and Vision, DNA and immune based systems, self-organizing and
adaptive systems, e-Learning and teaching, human-centered and human-centric
computing, recommender systems, intelligent control, robotics and mechatronics
including human-machine teaming, knowledge-based paradigms, learning para-
digms,machineethics,intelligentdataanalysis,knowledgemanagement,intelligent
agents, intelligent decision making and support, intelligent network security, trust
management,interactiveentertainment,Webintelligenceandmultimedia.
The publications within “Advances in Intelligent Systems and Computing” are
primarily proceedings of important conferences, symposia and congresses. They
cover significant recent developments in the field, both of a foundational and
applicable character. An important characteristic feature of the series is the short
publication time and world-wide distribution. This permits a rapid and broad
dissemination of research results.
Indexed by SCOPUS, DBLP, EI Compendex, INSPEC, WTI Frankfurt eG,
zbMATH, Japanese Science and Technology Agency (JST), SCImago.
More information about this series at http://www.springer.com/series/11156
Vijendra Singh Vijayan K. Asari
(cid:129) (cid:129)
Sanjay Kumar R. B. Patel
(cid:129)
Editors
Computational Methods
and Data Engineering
Proceedings of ICMDE 2020, Volume 2
123
Editors
Vijendra Singh Vijayan K.Asari
Schoolof Computer Science Department ofElectrical
UniversityofPetroleumandEnergyStudies andComputer Engineering
Dehradun, Haryana,India University of Dayton
Dayton,OH, USA
SanjayKumar
Department ofComputer Science R. B.Patel
andEngineering Department ofComputer Science
SRMUniversity Delhi-NCR andEngineering
Sonepat, Haryana, India Chandigarh Collegeof Engineering
andTechnology (CCET)
Chandigarh,Punjab, India
ISSN 2194-5357 ISSN 2194-5365 (electronic)
Advances in Intelligent Systems andComputing
ISBN978-981-15-7906-6 ISBN978-981-15-7907-3 (eBook)
https://doi.org/10.1007/978-981-15-7907-3
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Preface
WearepleasedtopresentSpringerBookentitledComputationalMethodsandData
Engineering, which consists of the Proceedings of International Conference on
Computational Methods and Data Engineering (ICMDE 2020), Volume 2 papers.
The main aim of the International Conference on Computational Methods and
Data Engineering (ICMDE 2020) was to provide a platform for researchers and
academia in the area of computational methods and data engineering to exchange
researchideas andresults andcollaboratetogether.Theconferencewas held atthe
SRM University, Sonepat, Haryana, Delhi-NCR, India, from January 30 to 31,
2020.
All the 41 published chapters in the Computational Methods and Data
Engineering book have been peer-reviewed by the three reviewersdrawn from the
scientific committee, external reviewers and editorial board depending on the
subjectmatterofthechapter.Aftertherigorouspeer-reviewprocess,thesubmitted
paperswereselectedbasedonoriginality,significanceandclarityandpublishedas
chapters.
Wewouldliketoexpressourgratitudetothemanagement,facultymembersand
other staff of the SRM University, Sonepat, for their kind support during organi-
zationofthisevent.Wewouldliketothankalltheauthors,presentersanddelegates
for their valuable contribution in making this an extraordinary event.
We would like to acknowledge all the members of honorary advisory chairs,
international/nationaladvisorycommitteemembers,generalchairs,programchairs,
organization committee members, keynote speakers, the members of the technical
committees and reviewers for their work.
Finally,wethankserieseditors,AdvancesinIntelligentSystemsandComputing,
Aninda Bose and Radhakrishnan for their high support and help.
Dehradun, India Vijendra Singh
Dayton, USA Vijayan K. Asari
Sonepat, India Sanjay Kumar
Chandigarh, India R. B. Patel
v
Contents
Software Quality Optimization of Coupling and Cohesion Metric
for CBSD Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
M. Iyyappan and Arvind Kumar
Detecting WSN Attacks Through HMAC and SCH Formation . . . . . . . 21
Neetu Mehta and Arvind Kumar
Literature Review of Various Nature-Inspired Optimization
Algorithms Used for Digital Watermarking . . . . . . . . . . . . . . . . . . . . . . 39
Preeti Garg and R. Rama Kishore
Geospatial Knowledge Management-Fresh Fuel for Banking
and Economic Growth? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
Anupam Mehrotra
Neural Network and Pixel Position Shuffling-Based Digital Image
Watermarking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
Sunesh Malik and Rama Kishore Reddlapalli
Hybrid Optimized Image Steganography with Cryptography . . . . . . . . 79
Vineet Nandal and Parvinder Singh
TxtLineSeg: Text Line Segmentation of Unconstrained Printed Text
in Devanagari Script . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85
Rupinder Pal Kaur, M. K. Jindal, and Munish Kumar
Intelligent Strategies for Cloud Computing Risk Management
and Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101
Vinita Malik and Sukhdip Singh
Effective Survey on Handwriting Character Recognition . . . . . . . . . . . . 115
G. S. Monisha and S. Malathi
Enhancement in Braille Systems—A Survey . . . . . . . . . . . . . . . . . . . . . 133
K. M. R. Navadeepika and V. D. Ambeth Kumar
vii
viii Contents
A Critical Review on Use of Data Mining Technique for Prediction
of Road Accidents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
Navdeep Mor, Hemant Sood, and Tripta Goyal
Rio Olympics 2016 on Twitter: A Descriptive Analysis . . . . . . . . . . . . . 151
Saurabh Sharma and Vishal Gupta
A Survey on Vehicle to Vehicle Communication . . . . . . . . . . . . . . . . . . 163
Tanay Wagh, Rohan Bagrecha, Shubham Salunke, Shambhavi Shedge,
and Vina Lomte
OBD-II and Big Data: A Powerful Combination to Solve the Issues
of Automobile Care . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177
Meenakshi, Rainu Nandal, and Nitin Awasthi
OBU (On-Board Unit) Wireless Devices in VANET(s) for Effective
Communication—A Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191
N. Ganeshkumar and Sanjay Kumar
Chinese Postman Problem: A Petri Net Based Approach. . . . . . . . . . . . 203
Sunita Kumawat
Weather Dataset Analysis Using Apache Pig . . . . . . . . . . . . . . . . . . . . . 223
Anmoldeep Kaur and Arpan Randhawa
Analysis of Learner’s Behavior Using Latent Dirichlet Allocation
in Online Learning Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231
N. A. Deepak and N. S. Shobha
An Overview of Recent Developments in Convolutional Neural
Network (CNN) Based Face Detector. . . . . . . . . . . . . . . . . . . . . . . . . . . 243
Rahul Yadav and Priyanka
A Review of Artificial Intelligence Techniques for Requirement
Engineering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259
Kamaljit Kaur, Prabhsimran Singh, and Parminder Kaur
Data-Driven Model for State of Health Estimation of Lithium-Ion
Battery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279
Rupam Singh, V. S. Bharath Kurukuru, and Mohammed Ali Khan
Trusted Sharing of IOT Data Using an Efficient Re-encryption
Scheme and Blockchain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295
Preeti Sharma and V. K. Srivastava
Clustering of Quantitative Survey Data: A Subsystem of EDM
Framework. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307
Roopam Sadh and Rajeev Kumar
Smell-O-Vision Device . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321
P. Nandal
Contents ix
A Dynamic Approach for Detecting the Fake News Using Random
Forest Classifier and NLP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331
J. Antony Vijay, H. Anwar Basha, and J. Arun Nehru
Automated Essay Grading: An Empirical Analysis of Ensemble
Learning Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343
Shakshi Sharma and Anjali Goyal
Survey of Scheduling and Meta Scheduling Heuristics in Cloud
Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363
Savita Khurana and Rajesh Kumar Singh
A Novel Idea for Designing a Speech Recognition System Using
Computer Vision Object Detection Techniques . . . . . . . . . . . . . . . . . . . 375
Sukrobjon Toshpulotov, Sarvar Saidov,
Selvanayaki Kolandapalayam Shanmugam, J. Shyamala Devi,
and K. Ramkumar
Empirical Classification Accuracy Assessment of Various Classifiers
for Clinical Diagnosis Datasets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383
Sabita Khatri, Narander Kumar, and Deepak Arora
Comparison of Transform-Based and Transform-Free Analytical
Models Having Finite Buffer Size in Non-saturated IEEE 802.11
DCF Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393
Mukta and Neeraj Gupta
An Overview of Learning Approaches in Reflection Removal . . . . . . . . 411
Rashmi Chaurasiya and Dinesh Ganotra
Comparison of Bioinspired Algorithms Applied to the Timetabling
Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427
Jose Silva, Noel Varela, Jesus Varas, Omar Lezama, José Maco,
and Martín Villón
Algorithm for Detecting Polarity of Opinions in Laptop
and Restaurant Domains . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439
Jose Silva, Noel Varela, Danelys Cabrera, Omar Lezama, Jesus Varas,
and Patricia Manco
Prediction of the Yield of Grains Through Artificial Intelligence. . . . . . 447
Jose Silva, Noel Varela, Danelys Cabrera, and Omar Lezama
A Secured Steganography Algorithm for Hiding an Image and Data
in an Image Using LSB Technique. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455
Vaibhav Singh Shekhawat, Manish Tiwari, and Mayank Patel
Data Rate Analysis of LTE System for 2 (cid:1) 2 MIMO Fading Channel
in Different Modulation Scheme. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469
Dimple Jangir, Gori Shankar, and Bharat Bhusan Jain
x Contents
Prediction of Defects in Software Using Machine Learning
Classifiers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481
Ashima Arya, Sanjay Kumar, and Vijendra Singh
Energy-Efficient Schemes in Underwater Wireless Sensor Network:
A Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495
Poonam, Vikas Siwach, Harkesh Sehrawat, and Yudhvir Singh
Information Hiding Techniques for Cryptography
and Steganography. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511
Bhawna, Sanjay Kumar, and Vijendra Singh
Affect Recognition using Brain Signals: A Survey . . . . . . . . . . . . . . . . . 529
Resham Arya, Ashok Kumar, and Megha Bhushan
“Memorize, Reproduce, and Forget” Inclination; Students’
Perspectives: A Study of Selected Universities in Ghana . . . . . . . . . . . . 553
John Kani Amoako, Yogesh Kumar Sharma, and Paul Danquah
Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 565
