ICDSMLA 2021: Proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications PDF
Preview ICDSMLA 2021: Proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications
Lecture Notes in Electrical Engineering 947 Amit Kumar Sabrina Senatore Vinit Kumar Gunjan Editors ICDSMLA 2021 Proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications Lecture Notes in Electrical Engineering Volume 947 Series Editors Leopoldo Angrisani, Department of Electrical and Information Technologies Engineering, University of Napoli Federico II, Naples, Italy Marco Arteaga, Departament de Control y Robótica, Universidad Nacional Autónoma de México, Coyoacán, Mexico Bijaya Ketan Panigrahi, Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India Samarjit Chakraborty, Fakultät für Elektrotechnik und Informationstechnik, TU München, Munich, Germany Jiming Chen, Zhejiang University, Hangzhou, Zhejiang, China Shanben Chen, Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China Tan Kay Chen, Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore Rüdiger Dillmann, Humanoids and Intelligent Systems Laboratory, Karlsruhe Institute for Technology, Karlsruhe, Germany Haibin Duan, Beijing University of Aeronautics and Astronautics, Beijing, China Gianluigi Ferrari, Università di Parma, Parma, Italy Manuel Ferre, Centre for Automation and Robotics CAR (UPM-CSIC), Universidad Politécnica de Madrid, Madrid, Spain Sandra Hirche, Department of Electrical Engineering and Information Science, Technische Universität München, Munich, Germany Faryar Jabbari, Department of Mechanical and Aerospace Engineering, University of California, Irvine, CA, USA Limin Jia, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Alaa Khamis, German University in Egypt El Tagamoa El Khames, New Cairo City, Egypt Torsten Kroeger, Stanford University, Stanford, CA, USA Yong Li, Hunan University, Changsha, Hunan, China Qilian Liang, Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA Ferran Martín, Departament d’Enginyeria Electrònica, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain Tan Cher Ming, College of Engineering, Nanyang Technological University, Singapore, Singapore Wolfgang Minker, Institute of Information Technology, University of Ulm, Ulm, Germany Pradeep Misra, Department of Electrical Engineering, Wright State University, Dayton, OH, USA Sebastian Möller, Quality and Usability Laboratory, TU Berlin, Berlin, Germany Subhas Mukhopadhyay, School of Engineering and Advanced Technology, Massey University, Palmerston North, Manawatu-Wanganui, New Zealand Cun-Zheng Ning, Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA Toyoaki Nishida, Graduate School of Informatics, Kyoto University, Kyoto, Japan Luca Oneto, Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Genova, Italy Federica Pascucci, Dipartimento di Ingegneria, Università degli Studi “Roma Tre”, Rome, Italy Yong Qin, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China Gan Woon Seng, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore Joachim Speidel, Institute of Telecommunications, Universität Stuttgart, Stuttgart, Germany Germano Veiga, Campus da FEUP, INESC Porto, Porto, Portugal Haitao Wu, Academy of Opto-electronics, Chinese Academy of Sciences, Beijing, China Walter Zamboni, DIEM—Università degli studi di Salerno, Fisciano, Salerno, Italy Junjie James Zhang, Charlotte, NC, USA The book series Lecture Notes in Electrical Engineering (LNEE) publishes the latest developments in Electrical Engineering—quickly, informally and in high quality. While original research reported in proceedings and monographs has traditionally formed the core of LNEE, we also encourage authors to submit books devoted to supporting student education and professional training in the various fields and applications areas of electrical engineering. The series cover classical and emerging topics concerning: (cid:129) Communication Engineering, Information Theory and Networks (cid:129) Electronics Engineering and Microelectronics (cid:129) Signal, Image and Speech Processing (cid:129) Wireless and Mobile Communication (cid:129) Circuits and Systems (cid:129) Energy Systems, Power Electronics and Electrical Machines (cid:129) Electro-optical Engineering (cid:129) Instrumentation Engineering (cid:129) Avionics Engineering (cid:129) Control Systems (cid:129) Internet-of-Things and Cybersecurity (cid:129) Biomedical Devices, MEMS and NEMS For general information about this book series, comments or suggestions, please contact [email protected]. To submit a proposal or request further information, please contact the Publishing Editor in your country: China Jasmine Dou, Editor ([email protected]) India, Japan, Rest of Asia Swati Meherishi, Editorial Director ([email protected]) Southeast Asia, Australia, New Zealand Ramesh Nath Premnath, Editor ([email protected]) USA, Canada Michael Luby, Senior Editor ([email protected]) All other Countries Leontina Di Cecco, Senior Editor ([email protected]) ** This series is indexed by EI Compendex and Scopus databases. ** · · Amit Kumar Sabrina Senatore Vinit Kumar Gunjan Editors ICDSMLA 2021 Proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications Editors Amit Kumar Sabrina Senatore BioAxis DNA Research Centre Private Ltd. Department of Computer Engineering, Hyderabad, Telangana, India Electrical Engineering and Applied Mathematics Vinit Kumar Gunjan University of Salerno Department of Computer Science Fisciano, Salerno, Italy and Engineering CMR Institute of Technology Hyderabad, Telangana, India ISSN 1876-1100 ISSN 1876-1119 (electronic) Lecture Notes in Electrical Engineering ISBN 978-981-19-5935-6 ISBN 978-981-19-5936-3 (eBook) https://doi.org/10.1007/978-981-19-5936-3 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part 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 or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. 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 herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Preface The rising technologies of artificial intelligence (AI), data science, and machine learning (ML) are advancing businesses more quickly than ever. Success in this era of digital transformation depends on leveraging analytics to uncover vast amount of data with detailed insights. In the past, these insights were uncovered manually through extensive data analysis and data complexity which continue to rise. The most recent technologies for data scientists are AI and ML, which allow them to quickly customize the data to verify its usefulness. With the advancements in computing power, organizations are now interested in analyzing both internal and external data to identify previously unknown insights that will drive operational efficiency, boost sales, and provide a competitive marketplace advantage. AI is a technology that continues to advance rapidly, and the discourse on AI ethics and governance is also evolving. Globally, a number of different sets of ‘AI ethics principles’ have been put forward by multilateral organizations, private sector entities, and several nation states. The future of AI is determined by a diverse group of stakeholders, including researchers, private organizations, government, standard- setting bodies, regulators, and general citizens. Around the world, many countries and organizations have defined principles to guide responsible management of AI for stakeholders. Though automated solutions are expected to introduce objectivity to decision making, recent cases globally have shown that AI solutions have the potential to be ‘biased’ against specific sections of society. This can lead to inconsistent output across a diverse demography. Selected papers from the International Conference on Data Science, Machine Learning and Applications, 2021 are placed in this volume. The chapters in this book provide an overview of the key concepts and theories underlying the technolo- gies and applications deliberated during the 2021 ICDSMLA Conference, with a focus on data science, machine learning, face recognition, evolutionary algorithms, like genetic algorithms, automotive applications, automation devices using artificial neural networks, business management systems, the Internet of Things (IoT), and contemporary speech processing systems. Additionally, the topics covered in this book are contemporary developments in sensor networks, VLSI systems, precision v vi Preface agriculture, and medical diagnostic systems. Wherever appropriate, a discussion of learning and software modules in artificial intelligence, soft computing, and deep learning algorithms is included. In a nutshell, this book sheds light on the data science and ML-based societal innovations that are useful for the social good. Hyderabad, India Amit Kumar Fisciano, Italy Sabrina Senatore Hyderabad, India Vinit Kumar Gunjan Contents Road Accident Detection and Indication System ...................... 1 Y. Lavanya, P. BhagyaSri, P. BhuvanaSri, and K. Noha Namratha Attendance System Based on Face Recognition Using Haar Cascade and LBPH Algorithm ...................................... 9 Akshat Kumar Rai, A. Akash, G. Kavyashree, and Thaseen Taj Different Thresholding Techniques in Image Processing : A Review .... 23 Radha Seelaboyina and Rajeev Vishwakarma Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives ........................................ 31 Vishnu Prasad Muddineni, Anil Kumar Bonala, and Thanuja Penthala Population Index and Analysis Based on Different Geographies; Using Distance Measurement, Social Distancing, and Deep Learning ......................................................... 45 Bhushan Chougule, Samiksha Baral, Minal Tayde, and Kaustubh Sakhare On the Discriminability of Samples Using Binarized ReLU Activations ........................................................ 65 Michał Lewandowski, Werner Zellinger, Hamid Eghbal-zadeh, Natalia Shepeleva, and Bernhard A. Moser Supervised and Unsupervised Machine Learning Approaches—A Survey ............................................ 73 C. Esther Varma and Puja S. Prasad Skin Cancer Classification Using Deep Learning ..................... 83 D. K. Yashaswini, Pratheeksha C. Dhanpal, and S. A. Bhoomika Crop Yield Prediction Using Deep Learning .......................... 93 K. Mamatha, Shantideepa Samantha, and Kundan Kumar Prasad vii viii Contents Real-Time Tweets Streaming and Comparison Using Naïve Bayes Classifier ......................................................... 103 S. R. Shankara Gowda, Rose King, and M. R. Pavan Kumar Smart Shopping Trolley for Billing System ........................... 111 R. Kishor Kumar, V. Ashwitha, S. Jeevitha, P. Pranusri, and D. Rakshitha A Survey on IoT Protocol in Real-Time Applications and Its Architectures ..................................................... 119 M. L. Umashankar, S. Mallikarjunaswamy, N. Sharmila, D. Mahesh Kumar, and K. R. Nataraj Safe Characteristic Signature Systems with Different Jurisdiction Using Blockchain in E-Health Records .............................. 131 Shivakumar Dalali, B. K. Pramod, Ranjith Kumar, and M. J. Thejas Jain Web-Based Trash Segregation Using Deep Learning Algorithm ........ 139 S. Sheeba, Akshay Mohan, Ashish Kumar Jha, Bikash Agarwal, and Priya Singh Home Automation Using Face Recognition for Wireless Security ....... 149 B. S. Umashankar, Mandalia Vishal Shailesh, Md Shaghil Z. Ansari, and Rahul Markandey Hybrid-Network Intrusion Detection (H-NID) Model Using Machine Learning Techniques (MLTs) .............................. 161 K. R. Pradeep, Arjun S. Gowda, and M. Dakshayini Impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis ....................................... 175 Devanshi Singh and K. T. Thomas Several Routing Protocols, Features and Limitations for Wireless Mesh Network (WMN): A Review ................................... 187 Jasleen Kaur and Hardeep Singh A Deep Meta-model for Environmental Sound Recognition ............ 201 K. S. Arun Spatial Computing: Next Big Thing of Physical and Digital World ..... 211 Dweepna Garg, Bhavika Patel, Radhika Patel, and Ritika Jani Cloud Accessing Based on IOT Oriented WSNs for Optimal Water Conservation in Farming ........................................... 221 K. Raju, Y. Lavanya, J. Prasanth Kumar, and Jagan Mohan Rao S-Extension Patch: A Simple and Efficient Way to Extend an Object Detection Model ......................................... 231 Dishant Parikh Contents ix Roles and Impact of ASHA Workers in Combating COVID-19: Case Study Bhubaneswar .......................................... 243 Manjusha Pandey, S. N. Misra, Abhipsa Ray, and S. S. Rautaray Challenges and Requirements for Integrating Renewable Energy Systems with the Grid ............................................. 257 Komal Bai, Vikas Sindhu, Ahteshamul Haque, and V. S. Bharath Kurukuru Design of Progressive Monitoring Overhead Water Tank .............. 267 N. Alivelu Manga, Surya Teja Manupati, N. S. C. Viswanadh, P. Sriram, and D. V. S. G. Varun An Anchor-Based Fuzzy Rough Feature Selection for Text Categorization .................................................... 281 Ananya Gupta and Shahin Ara Begum Fabric Variation and Visualization Using Light Dependent Factor ..... 293 Gorsa Lakshmi Niharika, Shahana Bano, Kondapaneni Charan Sai, Kavuri Rohith, and Dasaradh Gutta Pulse Rate Estimation with a Smartphone Camera Using Image Processing Algorithm .............................................. 303 E. C. Sowmiya, K. Nirmala, and L. Suganthi Multilayer Perceptron Based Early On-Site Estimation of PGA During an Earthquake ............................................. 313 Siddhartha Sarkar, Satish Kumar, Anubrata Roy, and Bhargab Das IoT-Equipped Smart Campus Using LoRa Technology ................ 327 D. Annapurna, D. Tejus, Girish Narayan, Shrushti Hegde, and Parth PratimMishra A Novel Approach for Visualizing Medical Big Data Using Variational Autoencoders .......................................... 337 G. Madhukar Rao and Dharavath Ramesh An Efficient Cybersecurity Framework for Detecting Network Attacks Using Deep Learning ....................................... 347 K. R. Nataraj, Manasa, and M. Chandana Evaluation of Network Parameters in Cloud Environment ............. 355 S. R. Ahrthi, G. Sinchana, A. Trisha, and B. Sahana Multiple DG Placement in Distribution Network with Reconfiguration Process for Active Power Loss Minimization ..................................................... 363 B. Devulal, M. Siva, D. Ravi Kumar, A. Supriya, and P. Sushma Devi
The list of books you might like
