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Smart Innovation, Systems and Technologies 153 Debahuti Mishra Rajkumar Buyya Prasant Mohapatra Srikanta Patnaik   Editors Intelligent and Cloud Computing Proceedings of ICICC 2019, Volume 2 Smart Innovation, Systems and Technologies Volume 153 Series Editors Robert J. Howlett, Bournemouth University and KES International, Shoreham-by-sea, UK Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the seriesistomakeavailableaplatformforthepublicationofbooksonallaspectsof single and multi-disciplinary research on these themes in order to make the latest resultsavailableinareadily-accessibleform.Volumesoninterdisciplinaryresearch combining two or more of these areas is particularly sought. Theseriescoverssystemsandparadigmsthatemployknowledgeandintelligence inabroadsense.Itsscopeissystemshavingembeddedknowledgeandintelligence, whichmaybeappliedtothesolutionofworldproblemsinindustry,theenvironment and the community. It also focusses on the knowledge-transfer methodologies and innovationstrategiesemployedtomakethishappeneffectively.Thecombinationof intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, hand- books, reference books, and other relevant types of book in areas of science and technologywheresmartsystemsandtechnologiescanofferinnovativesolutions. Highqualitycontentisanessentialfeatureforallbookproposalsacceptedforthe series. It is expected that editors of all accepted volumes will ensure that contributionsaresubjectedtoanappropriatelevelofreviewingprocessandadhere to KES quality principles. ** Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, SCOPUS, Google Scholar and Springerlink ** More information about this series at http://www.springer.com/series/8767 Debahuti Mishra Rajkumar Buyya (cid:129) (cid:129) Prasant Mohapatra Srikanta Patnaik (cid:129) Editors Intelligent and Cloud Computing Proceedings of ICICC 2019, Volume 2 123 Editors Debahuti Mishra RajkumarBuyya Department ofComputer Science CloudComputing andDistributed andEngineering Systems Laboratory Siksha‘O’ AnusandhanDeemed University of Melbourne to beUniversity Melbourne, VIC,Australia Bhubaneswar, Odisha, India Srikanta Patnaik PrasantMohapatra Department ofComputer Science Department ofComputer Science andEngineering University of California Siksha‘O’ AnusandhanDeemed Davis, CA,USA to beUniversity Bhubaneswar, Odisha, India ISSN 2190-3018 ISSN 2190-3026 (electronic) Smart Innovation,Systems andTechnologies ISBN978-981-15-6201-3 ISBN978-981-15-6202-0 (eBook) https://doi.org/10.1007/978-981-15-6202-0 ©SpringerNatureSingaporePteLtd.2021 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained hereinorforanyerrorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregard tojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Preface The 1st International Conference on Intelligent and Cloud Computing (ICICC 2019) was organized by the Department of Computer Science and Engineering, ITER,Siksha‘O’Anusandhan(DeemedtobeUniversity)during16–17December 2019.ICICC2019hasprovidedasuitableplatformforacademicians,practitioners, researchers and experts to showcase their work and findings as well as exchange ideas and future directions while sharing their experiences with each other. ICICC 2019 has focused on recent research trends and advancements in cloud computing anditsimportanceindiversifiedapplicationfields.Intelligentandcloudcomputing integrated with other relevant techniques not only adds values to crucial decisions but also provides new direction to advancement in key technical areas such as adoptionofInternetofthings,distributedcomputing,cloudcomputing,blockchain and big data. It provides significant insights that support managers in various sectors such as human resource developments, resource management, biological dataprocessing,marketingstrategies,supplychainmanagement,logistics,business operations and financial markets, thus making it a potential research area. The conference has received a good response with a large number of submissions. The total number of relevant papers accepted for publication has been broadly divided into five major tracks including: (i) intelligent and cloud computing, (ii) software engineering, (iii) wireless sensor network, (iv) IoT and its application and (v) AI and machine learning. The first three tracks, namely intelligent and cloud computing, service-oriented software engineering and wireless sensor networks (WSN), have been included in Volume I of the book. The fourth part, Internet of Things (IoT), is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. IoT has evolved with a greater generation of data. Internet of things cloud service creates excessive communication between inexpensive sensors in the IoT which means even greater connectivity; billions of connected devices and machines will soon join human users. v vi Preface In the last part, Artificial Intelligence (AI) is defined as the science of the engineering that makes the machine intelligent. The term AI has been modernized to include machine intelligent, natural sciences, natural computation, swarm intel- ligence, neural networks and fuzzy logic, and it moves from building systems that areintelligent tointelligent systems.Severalfactorshaveaffectedandareaffecting the revolution of AI, such as the data-driven products, new platforms and the maturity of machine learning supported by cloud computing technology. ICICC 2019 has not only encouraged the submission of unpublished original articlesinthefieldofintelligentandcloudcomputingissuesbutalsoconsideredthe several cutting-edge applications across organizations and firms while scrutinizing the relevant papers. Bhubaneswar, India Debahuti Mishra Melbourne, Australia Rajkumar Buyya Davis, USA Prasant Mohapatra Bhubaneswar, India Srikanta Patnaik Contents Internet of Things (IOT) An Energy-Efficient Data Routing in Weight-Balanced Tree-Based Fog Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Sayantan Saha and Arnab Mitra A Systematic Overview of Fault Tolerance in Cloud Computing . . . . . . 13 Binod Kumar Pattanayak, Nagarjuna Hota, and Jyoti Prakash Mishra An EPIC Mechanism for Advertising the Tourist Spots in Smart Cities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 Vikash Kumar Singh, Anil Bikash Chowdhary, and Sajal Mukhopadhyay Data Analysis and Prediction of Terror Component Using Web Services . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Shrabanee Swagatika, Bishnupriya Panda, Debabrata Singh, and Alakananda Tripathy Facial Expression Recognition System (FERS): A Survey . . . . . . . . . . . 43 Sonali Mishra, Ratnalata Gupta, and Sambit Kumar Mishra Load Balancing of Tasks in Cloud Computing Using Fault-Tolerant Honey Bee Foraging Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 Bivasa Ranjan Parida, Amiya Kumar Rath, and Shrabanee Swagatika Flip Learning: A Novel IoT-Based Learning Initiative. . . . . . . . . . . . . . 59 Sushil Kumar Mahapatra, Binod Kumar Pattanayak, and Bibudhendu Pati Improvement of Load Balancing in Shared-Memory Multiprocessor Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 Hasan Deeb, Archana Sarangi, and Shubhendu Kumar Sarangi Building Amazon Web Services Infrastructure from the Scratch for an Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 MuskanGarg,Harsh,HarshitSingh,ShrabaneeSwagatika,andSmitaRath vii viii Contents Fault Detection for VANET Using Vehicular Cloud. . . . . . . . . . . . . . . . 87 BiswaRanjanSenapati,SantoshineeMohapatra,andPabitraMohanKhilar An Approach to Cohort Selection in Cloud for Face Recognition . . . . . 97 Jogendra Garain, Satyabrata Maity, and Dipak Kumar Internet of Things (IoT) Framework Deployment Template for Cloud-Based Harbor Surveillance and Ferry Monitoring System. . . 105 Madhuri Rao, Narendra Kumar Kamila, and Nibedita Adhikari Art of Style Transfer Using Convolutional Neural Network: A Deep Learning Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 Siddharth Saurabh and Barnali Sahu Impact of Internet of Things (IoT) on 5G . . . . . . . . . . . . . . . . . . . . . . . 125 Mitrabinda Khuntia, Debabrata Singh, and Sipra Sahoo Prediction of Exchange Rate in a Cloud Computing Environment Using Machine Learning Tools. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 Trilok Nath Pandey, Tanu Priya, and Sanjay Kumar Jena Survey on Stock Price Forecasting Using Regression Analysis. . . . . . . . 147 Bhupendra Kumar Gupta, Manas Kumar Mallick, and Sarbeswara Hota Intrusion Detection and Classification Using Decision Tree-Based Feature Selection Classifiers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 Manas Kumar Nanda and Manas Ranjan Patra Role of Cloud Computing for Big Data: A Review. . . . . . . . . . . . . . . . . 171 Madhusmita Das and Rasmita Dash Role of Cloud Computing in Geotechnical Engineering . . . . . . . . . . . . . 181 Rashmisikha Behera and Manas Ranjan Das Energy-Efficient Clustering with Rotational Supporter in WSN. . . . . . . 195 Priyambada Parida, Bandita Sahu, Ami Kumar Parida, and Sambit Kumar Mishra A Review on Mobile Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . 209 Napur Bharati, Sucheta Das, and Mahendra Kumar Gourisaria CorroboratingtheVeracityofBodyFatPercentageandClassification of Sarcopenia Using Island Differential Evolution Algorithm. . . . . . . . . 219 J. Grace Hannah and D. Gladis DesignofCompactSuper-WidebandMonopoleAntennaforSpectrum Sensing Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 Pawan Kumar, Shabana Urooj, and Bharat J. R. Sahu Probabilistic and Distance-Aware Clustering Approach to Decrease the Effect of Hot Spot in WSN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241 Ruchi Kulshrestha and Prakash Ramani Contents ix A Real-Time Sentiments Analysis System Using Twitter Data . . . . . . . . 251 Aditya Dave, Santosh Bharti, Samir Patel, and Sambit Kumar Mishra Low-ProfileCircularlyPolarizedAntennaforContemporaryWireless Communication Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 Bharat J. R. Sahu, Sachin Kumar, and Shobhit Saxena Detection of XSS Vulnerabilities of Web Application Using Security Testing Approaches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267 Sanjukta Mohanty and Arup Abhinna Acharya Artificial Intelligence (AI) Evolutionary Hybrid Feature Selection for Cancer Diagnosis . . . . . . . . 279 BichitranandaPatra,LambodarJena,SantosiniBhutia,andSoumenNayak Predicting the Price of Gold: A CSPNN-DE Model . . . . . . . . . . . . . . . . 289 Samuka Mohanty and Rajashree Dash Weighted Particle Swarm Optimization with T-Distribution in Machine Learning Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299 Sonali Samal, Archana Sarangi, and Shubhendu Kumar Sarangi A Novel Approach for Breast Cancer Data Classification Using Deep Forest Network. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 Bishnupriya Panda, Shrabanee Swagatika, Sipra Sahoo, and Debabrata Singh A Survey on Deep Learning: Convolution Neural Network (CNN) . . . . 317 Madhusmita Sahu and Rasmita Dash An Optimized Method for Arrhythmia Classification Using Artificial Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 Sipra Sahoo, Saumendra Kumar Mohapatra, Bishnupriya Panda, Mihir Narayan Mohanty, and Sateesh Kumar Pradhan A Survey on Hybridized Gene Selection Strategies . . . . . . . . . . . . . . . . 337 Suman Kumari Panigrahi, Kaberi Das, Debahuti Mishra, and Bhaskar Kumar Veedhi Indian Stock Market Prediction Based on Rough Set and Support Vector Machine Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345 Rudra Kalyan Nayak, Ramamani Tripathy, Debahuti Mishra, Vijay Kumar Burugari, Prabha Selvaraj, Abhisek Sethy, and Biswaranjan Jena Epileptic Seizure Detection Using DWT- and Rule-Based Variants of TSVM with KNN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357 Sumant Kumar Mohapatra and Srikanta Patnaik

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