Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018 PDF
Preview Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018
Advances in Intelligent Systems and Computing 937 Jyotsna Kumar Mandal Debika Bhattacharya Editors Emerging Technology in Modelling and Graphics Proceedings of IEM Graph 2018 Advances in Intelligent Systems and Computing Volume 937 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 & 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 Nadia Nedjah, Department of Electronics Engineering, University of Rio de Janeiro, 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. ** Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink ** More information about this series at http://www.springer.com/series/11156 Jyotsna Kumar Mandal (cid:129) Debika Bhattacharya Editors Emerging Technology in Modelling and Graphics Proceedings of IEM Graph 2018 123 Editors Jyotsna KumarMandal Debika Bhattacharya Department ofComputer Science Department ofComputer Science andEngineering andEngineering University of Kalyani Institute of Engineering andManagement Kalyani, West Bengal, India Kolkata, West Bengal, India ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems andComputing ISBN978-981-13-7402-9 ISBN978-981-13-7403-6 (eBook) https://doi.org/10.1007/978-981-13-7403-6 ©SpringerNatureSingaporePteLtd.2020 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 IEMGraph 2018—International Conference on EmergingTechnologyinModellingandGraphicswasheldon6–7September2018 in Kolkata, India. IEMGraph 2018 was an international and interdisciplinary con- ferencecoveringresearchanddevelopmentinthefieldofemergingtechnologiesin intelligentsystemsandcomputing.Itaddressedalltrendingresearchtopicsandthe latest research in emerging technology in modelling and graphics including image processing and analysis, image segmentation, digital geometry for computer imaging, image and security, biometrics, video processing, medical imaging, and virtual and augmented reality. More than 250 pre-registered authors submitted their work in this conference. IEMGraph 2018 finally accepted and hosted 70 papers after a double-blind peer review process. The conference technical committee with the contribution of competent and expert reviewers decided about the acceptance of the submitted papers. One of the primary objectives of IEMGraph 2018 was the investigation of information-based technological change and its adaptation in different industries and academic world. The conference tried to bridge the gap between industry demandandacademicsupplyinresearchfieldstoaddressthatdemand.Thisannual eventwasaddressedjointlytoacademicsandpractitionersandprovidedaforumfor a number of perspectives based on either theoretical analyses or empirical case studies that foster the exchange of ideas. The conference offered a number of sessions under its patronage that was a valuable resource for scholars and practi- tioners, and also the conference workshop was organized to give hands-on expe- rience to students in image processing, graphical modelling, and AI-related fields. We would like to thank all participated in any way in the IEMGraph 2018 and team members of organizing committee and other committees for organizing the conference successfully. Also, thanks to the contributors of this volume for con- tributing their articles for publication. We express our sincere gratitude to the famous publication house Springer for their communication sponsorship and the v vi Preface co-organizer “Indian Space Research Organisation (ISRO)”, India, for their tech- nical sponsorship, and to the members of the technical committee who provided a significant contribution to the review of papers and all members of the organizing committee for their help, support, and spirit participation before, during, and after the conference. This volume will be a state-of-the-art material for researchers, engineers, and students. Kalyani, India Jyotsna Kumar Mandal Kolkata, India Debika Bhattacharya Contents Identification of Noise Pollution Prone Regions in Mumbai Using Expectation-Maximization Clustering Technique . . . . . . . . . . . . . . . . . . 1 Arushi Agarwal, Pratibha Chaudhary, Rana Majumdar, Sunil Kumar Chowdhary and Abhishek Srivastava An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Suchismita Goswami, Sushmita Goswami, Shubhasri Roy, Shreejita Mukherjee and Nilanjana Dutta Roy Epileptic Seizure Recognition Using Deep Neural Network . . . . . . . . . . 21 Anubhav Guha, Soham Ghosh, Ayushi Roy and Sankhadeep Chatterjee Graph-Based Supervised Feature Selection Using Correlation Exponential . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Gulshan Kumar, Gitesh Jain, Mrityunjoy Panday, Amit Kumar Das and Saptarsi Goswami A Sentiment-Based Hotel Review Summarization. . . . . . . . . . . . . . . . . . 39 Debraj Ghosh Heuristic Approach for Finding Threshold Value in Image Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Sandip Mal and Ashiwani Kumar An Educational Chatbot for Answering Queries . . . . . . . . . . . . . . . . . . 55 Sharob Sinha, Shyanka Basak, Yajushi Dey and Anupam Mondal A Supervised Approach to Analyse and Simplify Micro-texts . . . . . . . . 61 Vaibhav Chaturvedi, Arunangshu Pramanik, Sheersendu Ghosh, Priyanka Bhadury and Anupam Mondal vii viii Contents A Short Review on Different Clustering Techniques and Their Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 Attri Ghosal, Arunima Nandy, Amit Kumar Das, Saptarsi Goswami and Mrityunjoy Panday An Efficient Descriptor for Gait Recognition Using Spatio-Temporal Cues. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 SanjayKumarGupta,GauravMaheshSultaniyaandPratikChattopadhyay Supervised Classification Algorithms in Machine Learning: A Survey and Review. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 Pratap Chandra Sen, Mahimarnab Hajra and Mitadru Ghosh Breast Cancer Diagnosis Using Image Processing and Machine Learning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 Subham Sadhukhan, Nityasree Upadhyay and Prerana Chakraborty Using Convolutions and Image Processing Techniques to Segment Lungs from CT Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 Souvik Ghosh, Sayan Sil, Rohan Mark Gomes and Monalisa Dey Analyzing Code-Switching Rules for English–Hindi Code-Mixed Text . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 Sainik Kumar Mahata, Sushnat Makhija, Ayushi Agnihotri and Dipankar Das Detection of Pulsars Using an Artificial Neural Network . . . . . . . . . . . . 147 Rajarshi Lahiri, Souvik Dey, Soumit Roy and Soumyadip Nag Modification of Existing Face Images Based on Textual Description Through Local Geometrical Transformation. . . . . . . . . . . . 159 Mrinmoyi Pal, Subhajit Ghosh and Rajnika Sarkar A Neural Network Framework to Generate Caption from Images. . . . . 171 Ayan Ghosh, Debarati Dutta and Tiyasa Moitra Remote Sensing and Advanced Encryption Standard Using 256-Bit Key . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181 Sumiran Naman, Sayari Bhattacharyya and Tufan Saha Grasp-Pose Prediction for Hand-Held Objects. . . . . . . . . . . . . . . . . . . . 191 Abhirup Das, Ayon Chattopadhyay, Firdosh Alia and Juhi Kumari A Multi-level Polygonal Approximation-Based Shape Encoding Framework for Automated Shape Retrieval. . . . . . . . . . . . . . . . . . . . . . 203 Sourav Saha, Soumi Bhunia, Laboni Nayak, Rebeka Bhattacharyya and Priya Ranjan Sinha Mahapatra Contents ix A Hand Gesture Recognition Model Using Fuzzy Directional Encoding of Polygonal Approximation. . . . . . . . . . . . . . . . . . . . . . . . . . 217 Sourav Saha, Soma Das, Shubham Debnath and Sayantan Banik Signature-Based Data Reporting in Wireless Sensor Networks . . . . . . . 231 Monika Bhalla and Ajay Sharma Wine Quality Analysis Using Machine Learning . . . . . . . . . . . . . . . . . . 239 Bipul Shaw, Ankur Kumar Suman and Biswarup Chakraborty Generalized Smart Traffic Regulation Framework with Dynamic Adaptation and Prediction Logic Using Computer Vision . . . . . . . . . . . 249 Vishal Narnolia, Uddipto Jana, Soham Chattopadhyay and Shramana Roy A Short Review on Applications of Big Data Analytics . . . . . . . . . . . . . 265 Ranajit Roy, Ankur Paul, Priya Bhimjyani, Nibhash Dey, Debankan Ganguly, Amit Kumar Das and Suman Saha A Survey of Music Recommendation Systems with a Proposed Music Recommendation System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279 Dip Paul and Subhradeep Kundu Interactive Systems for Fashion Clothing Recommendation. . . . . . . . . . 287 Himani Sachdeva and Shreelekha Pandey Embedded Implementation of Early Started Hybrid Denoising Technique for Medical Images with Optimized Loop. . . . . . . . . . . . . . . 295 Khakon Das, Mausumi Maitra, Minakshi Banerjee and Punit Sharma Stress Profile Analysis in n-FinFET Devices. . . . . . . . . . . . . . . . . . . . . . 309 T. P. Dash, S. Das, S. Dey, J. Jena and C. K. Maiti An Annotation System to Annotate Healthcare Information from Tweets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 Nixon Dutta, Anupam Mondal and Pritam Paul Broad Neural Network for Change Detection in Aerial Images . . . . . . . 327 Shailesh Shrivastava, Alakh Aggarwal and Pratik Chattopadhyay User-Item-Based Hybrid Recommendation System by Employing Mahout Framework . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 Sutanu Paul and Dipankar Das Gray Matter Segmentation and Delineation from Positron Emission Tomography (PET) Image . . . . . . . . . . . . . . . . . . . . . . . . . . . 359 Abhishek Bal, Minakshi Banerjee, Punit Sharma and Mausumi Maitra A Joint Image Compression–Encryption Algorithm Based on SPIHT Coding and 3D Chaotic Map. . . . . . . . . . . . . . . . . . . . . . . . . 373 Ramkrishna Paira
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