Table Of ContentAdvances in Intelligent Systems and Computing 798
Nishchal K. Verma · A. K. Ghosh
Editors
Computational
Intelligence: Theories,
Applications and
Future Directions—
Volume I
ICCI-2017
Advances in Intelligent Systems and Computing
Volume 798
Series editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
e-mail: [email protected]
The series “Advances in Intelligent Systems and Computing” contains publications on theory,
applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all
disciplines such as engineering, natural sciences, computer and information science, ICT, economics,
business,e-commerce,environment,healthcare,lifesciencearecovered.Thelistoftopicsspansallthe
areasofmodernintelligentsystemsandcomputingsuchas:computationalintelligence,softcomputing
includingneuralnetworks,fuzzysystems,evolutionarycomputingandthefusionoftheseparadigms,
social intelligence, ambient intelligence, computational neuroscience, 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 paradigms,machineethics,intelligent
data analysis, knowledge management, intelligent agents, intelligent decision making and support,
intelligentnetworksecurity,trustmanagement,interactiveentertainment,Webintelligenceandmultimedia.
Thepublicationswithin“AdvancesinIntelligentSystemsandComputing”areprimarilyproceedings
ofimportantconferences,symposiaandcongresses.Theycoversignificantrecentdevelopmentsinthe
field,bothofafoundationalandapplicablecharacter.Animportantcharacteristicfeatureoftheseriesis
theshortpublicationtimeandworld-widedistribution.Thispermitsarapidandbroaddisseminationof
researchresults.
AdvisoryBoard
Chairman
NikhilR.Pal,IndianStatisticalInstitute,Kolkata,India
e-mail:[email protected]
Members
Rafael Bello Perez, Faculty of Mathematics, Physics and Computing, Universidad Central “Marta
Abreu”deLasVillas,SantaClara,Cuba
e-mail:[email protected]
EmilioS.Corchado,UniversityofSalamanca,Salamanca,Spain
e-mail:[email protected]
HaniHagras,SchoolofComputerScienceandElectronicEngineering,UniversityofEssex,Colchester,
UK
e-mail:[email protected]
LászlóT.Kóczy,DepartmentofAutomation,SzéchenyiIstvánUniversity,Győr,Hungary
e-mail:[email protected]
VladikKreinovich,DepartmentofComputerScience,UniversityofTexasatElPaso,ElPaso,TX,USA
e-mail:[email protected]
Chin-TengLin,DepartmentofElectricalEngineering,NationalChiaoTungUniversity,Hsinchu,Taiwan
e-mail:[email protected]
JieLu,FacultyofEngineeringandInformation,UniversityofTechnology,Sydney,NSW,Australia
e-mail:[email protected]
Patricia Melin, Graduate Program of Computer Science, Tijuana Institute of Technology, Tijuana,
Mexico
e-mail:[email protected]
NadiaNedjah,DepartmentofElectronicsEngineering,StateUniversityofRiodeJaneiro,RiodeJaneiro,
Brazil
e-mail:[email protected]
NgocThanhNguyen,WrocławUniversityofTechnology,Wrocław,Poland
e-mail:[email protected]
JunWang,DepartmentofMechanicalandAutomationEngineering,TheChineseUniversityofHong
Kong,Shatin,HongKong
e-mail:[email protected]
Moreinformationaboutthisseriesathttp://www.springer.com/series/11156
Nishchal K. Verma A. K. Ghosh
(cid:129)
Editors
Computational Intelligence:
Theories, Applications
—
and Future Directions
Volume I
ICCI-2017
123
Editors
NishchalK.Verma A.K.Ghosh
Department ofElectrical Engineering Department ofAerospace Engineering
Indian Institute of Technology Kanpur Indian Institute of Technology Kanpur
Kanpur,Uttar Pradesh Kanpur,Uttar Pradesh
India India
ISSN 2194-5357 ISSN 2194-5365 (electronic)
Advances in Intelligent Systems andComputing
ISBN978-981-13-1131-4 ISBN978-981-13-1132-1 (eBook)
https://doi.org/10.1007/978-981-13-1132-1
LibraryofCongressControlNumber:2018945092
©SpringerNatureSingaporePteLtd.2019
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Preface
Computational intelligence (CI) focuses on biologically and linguistically inspired
computing tools and techniques. CI technologies have been playing and will con-
tinue to play important roles in a wide variety of application areas. Although there
havebeenmanysuccessstoriesincludingtechniqueslikedeeplearning,alotmore
islefttobedone,particularlyifonewantscomputingtoolstoreallymimicthebrain
either at a lower (neuronal) level or at a higher level. The scientific exchanges in
various collocated events are expected to play important roles in advancing CI
theories, applications and future directions.
Themodernworldsystemsandprocessesaregrowingexponentiallyinsizewith
complexity,therebytheirmonitoringandcontrolisachallengingtask.CIprovides
asetoftools,namely,butnotlimitedto,neuralnetworks,evolutionaryalgorithms,
fuzzy systems and hybrid intelligent systems that can understand the principles
which make intelligent behaviour possible in these systems. Through this volume,
researchers,scientists,academicians,scholarsandpractitionersinthisarea willget
an exposure to recent innovations and initiatives using CI-based approaches for
addressing the complex real-world problems. The deliberations should stimulate
new thoughts and ideas and pave the way for fruitful collaborations, explorations
and interdisciplinary applications in CI.
Kanpur, India Nishchal K. Verma
A. K. Ghosh
v
Contents
Part I Big Data Analytics
Analysis of Weather Data Using Forecasting Algorithms. . . . . . . . . . . . 3
S. Poornima, M. Pushpalatha and J. Sujit Shankar
K-Data Depth Based Clustering Algorithm . . . . . . . . . . . . . . . . . . . . . . 13
Ishwar Baidari and Channamma Patil
Approximation and Updation of Betweenness Centrality
in Dynamic Complex Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Prity Kumari and Anurag Singh
Part II Bioinformatics
High-Dimensional Data Classification Using PSO
and Bat Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Viplove Divyasheesh and Anil Pandey
Feature Learning Using Stacked Autoencoder for Shared
and Multimodal Fusion of Medical Images . . . . . . . . . . . . . . . . . . . . . . 53
Vikas Singh, Nishchal K. Verma, Zeeshan Ul Islam and Yan Cui
A New Computational Approach to Identify Essential Genes
in Bacterial Organisms Using Machine Learning. . . . . . . . . . . . . . . . . . 67
Ankur Singhal, Devasheesh Roy, Somit Mittal, Joydip Dhar
and Anuraj Singh
Automatic ECG Signals Recognition Based on Time Domain
Features Extraction Using Fiducial Mean Square Algorithm. . . . . . . . . 81
V. Vijendra and Meghana Kulkarni
vii
viii Contents
Part III Computational Intelligence for e-Health
Segmentation and Border Detection of Melanoma Lesions
Using Convolutional Neural Network and SVM. . . . . . . . . . . . . . . . . . . 97
Ashwin R. Jadhav, Arun G. Ghontale and Vimal K. Shrivastava
Image Processing Methods for Automated Assessment
of Sperm DNA Integrity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
B. Banu Rekha, S. Vidyalakshmi, S. Sree Niranjanaa Bose
and T. T. Anusha Devi
Smartphone-Based Ubiquitous Data Sensing and Analysis for
Personalized Preventive Care: A Conceptual Framework . . . . . . . . . . . 119
Saurabh Singh Thakur and Ram Babu Roy
Dimensionality Reduction-Based Breast Cancer Classification
Using Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133
Kuhu Gupta and Rekh Ram Janghel
Part IV Computational Simulation
A New Heuristic for Degree-Constrained Minimum Spanning
Tree Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149
Kavita Singh and Shyam Sundar
Event-Triggered Control for Trajectory Tracking by Robotic
Manipulator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
Ankur Kamboj, Narendra Kumar Dhar and Nishchal K. Verma
Trajectory Tracking of Quad-Rotor UAV Using Fractional
Order PIlDλ Controller . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171
Heera Lal Maurya, L. Behera and Nishchal K. Verma
Evaluation of Security Metrics for System Security Analysis. . . . . . . . . 187
K. Narasimha Mallikarjunan, S. Mercy Shalinie, K. Sundarakantham
and M. Aarthi
Event-Triggered Sliding Mode Control Based Trajectory
Tracking in a Cyber-Physical Space. . . . . . . . . . . . . . . . . . . . . . . . . . . . 199
Aniket K. Kar, Narendra Kumar Dhar and Nishchal K. Verma
Part V Data Mining and Visualization
Discovering Conversational Topics and Emotions Associated
with Demonetization Tweets in India . . . . . . . . . . . . . . . . . . . . . . . . . . . 215
Mitodru Niyogi and Asim Kumar Pal
Evaluation of Classifiers for Detection of Authorship
Attribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227
Smita Nirkhi
Contents ix
Performance Analysis of Uncertain K-means Clustering Algorithm
Using Different Distance Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237
Swati Aggarwal, Nitika Agarwal and Monal Jain
Query Morphing: A Proximity-Based Data Exploration
for Query Reformulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247
Jay Patel and Vikram Singh
DDAM: Detecting DDoS Attacks Using Machine Learning
Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261
K. Narasimha Mallikarjunan, A. Bhuvaneshwaran, K. Sundarakantham
and S. Mercy Shalinie
Community Detection Using Node Attributes: A Non-negative
Matrix Factorization Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275
Pranav Nerurkar, Madhav Chandane and Sunil Bhirud
A Comparative Analysis of Community Detection Algorithms
on Social Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287
Pranav Nerurkar, Madhav Chandane and Sunil Bhirud
Part VI Evolutionary Computation
Solving Rubik’s Cube Using Graph Theory. . . . . . . . . . . . . . . . . . . . . . 301
ChanchalKhemani,JayDoshi,JuhiDuseja,KrapiShah,SandeepUdmale
and Vijay Sambhe
Multiobjective Virtual Machine Selection for Task Scheduling
in Cloud Computing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319
Ketaki Naik, G. Meera Gandhi and S. H. Patil
Hybrid Swarm Intelligence Algorithm for Detection of Health
of an Apple . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333
Lavika Goel, Faizan Mustaq and Charu Tak
Part VII Fuzzy Inference Systems
Iris Data Classification Using Modified Fuzzy C Means. . . . . . . . . . . . . 345
Nisha Singh, Vivek Srivastava and Komal
A Type-2 Fuzzy Systems Approach for Clustering-Based
Identification of a T-S Regression Model . . . . . . . . . . . . . . . . . . . . . . . . 359
Homanga Bharadhwaj, Vikas Singh and Nishchal K. Verma
Fuzzy Inference Network with Mamdani Fuzzy Inference System . . . . . 375
Nishchal K. Verma, Vikas Singh, Shreedharkumar Rajurkar
and Mohd Aqib
x Contents
An Empirical Comparison of Intelligent Controllers for the Ball
and Beam System. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389
S. Raghavendra Rao and Raghavendra V. Kulkarni
Health Monitoring of Main Battle Tank Engine Using
Mamdani-Type Fuzzy Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403
Gaurav Saraswat, Seetaram Maurya and Nishchal K. Verma
Fuzzy Set Theoretic Similarity Measure for Finger Vein
Image Retrieval . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415
Devarasan Ezhilmaran and P. Rose Bindu Joseph
Part VIII Fuzzy Knowledge Systems
Aerodynamic Parameter Modeling Using TS Fuzzy Systems
from Flight Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425
Dhan Jeet Singh, Nishchal K. Verma, A. K. Ghosh, Jitu Sanwale
and Appasaheb Malagaudanavar
Part IX Genetic Algorithms
Genetic-Algorithm-Based Optimization of Ant Colony Controller
for Fractional-Order Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441
A. Kumar, V. Upadhyaya, A. Singh, P. Pandey and R. Sharma
A Hybrid GA-PSO Algorithm to Solve Traveling Salesman
Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453
Indresh Kumar Gupta, Samiya Shakil and Sadiya Shakil
A Computational Intelligence Approach for Cancer Detection
Using Artificial Immune System. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 463
Nishant Keni, Nipun Suradkar, Mihirraj Dixit, Irfan A. Siddavatam
and Faruk Kazi
Prediction of the State of Grinding Materials in Run Time
Using Genetic Operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 475
Sonali Sen, Arup Kumar Bhaumik and Jaya Sil
Part X Gesture Identification and Recognition
Motion Direction Code—A Novel Feature for Hand Gesture
Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487
Bhumika Pathak and Anand Singh Jalal
Human Fall Detection System over IMU Sensors Using
Triaxial Accelerometer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495
Shubham Ranakoti, Shagneet Arora, Shweta Chaudhary, Shakun Beetan,
Amtoj Singh Sandhu, Padmavati Khandnor and Poonam Saini
