Inventive Systems and Control

1. Front Matter

   Pages i-xxviii

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2. Optimal Placement of Phasor Measurement Units Considering Channel Limits Under Various Contingencies

   • K. Banumalar, B. V. Manikandan, S. Muralidharan

   Pages 1-24

3. Adaptive Deep Recurrent Neural Network-Based COVID-19 Healthcare Data Prediction for Early Risk Prediction

   • A. Asha, B. Dhiyanesh, G. Kiruthiga, L. Shakkeera, Y. Sharmasth Vali, K. Karthick

   Pages 25-37

4. Maximum Decision Support Regression-Based Advance Secure Data Encrypt Transmission for Healthcare Data Sharing in the Cloud Computing

   • V. Anusuya, B. J. Bejoy, M. Ramkumar, P. Shanmugaraja, B. Dhiyanesh, G. Kiruthiga

   Pages 39-51

5. Routing Integrity Mechanism to Prevent Wormhole Attacks in Vehicular Adhoc Networks

   • R. Prathap Kumar, U. Srilakshmi, K. Ganesh Reddy

   Pages 53-64

6. A Detailed Analysis on Spam Emails and Detection Using Machine Learning Algorithms

   • Razia Sulthana, Avani Verma, A. K. Jaithunbi

   Pages 65-76

7. Advanced Encryption Standard-Based Encryption for Secured Transmission of Data in Cognitive Radio with Multi-channels

   • Kiran P. More, Rajendrakumar A. Patil

   Pages 77-93

8. Multi Energy-Harvesting Smart Water Meter Design for Underground Water Pipeline Leakage Detection

   • Hari Prakash Athinarayanan, Muthupavithran Selvam

   Pages 95-111

9. Tensor Flow Model with Hybrid Optimization Algorithm for Solving Vehicle Routing Problem

   • Jai Keerthy Chowlur Revanna, Nushwan Yousif B. Al-Nakash

   Pages 113-127

10. Authentication Key Generator for Data Sharing on Cloud—A Review

    • B. V. Santhosh Krishna, B. Rajalakshmi, Esikala Nithish Mani krishna, Gundre Sai sruthi, Gangireddy Ramya sri, K. Ashok

    Pages 129-142

11. Restaurant Quality Analysis: A Machine Learning Approach

    • Rohit B. Diwane, Kavita S. Oza, Varsha P. Desai

    Pages 143-154

12. Towards the Implementation of Traffic Engineering in SDN: A Practical Approach

    • U. Prabu, V. Geetha

    Pages 155-161

13. Real-Time Intrusion Detection in Connected Autonomous Vehicles

    • Anjanee Kumar, Tanmoy Kanti Das

    Pages 163-175

14. Physical Architecture of Linear Feedback Shift Register Using Clock Tree Synthesis for Cyber-Physical System

    • B. Muthu Nisha, V. Nithya, J. Selvakumar

    Pages 177-187

15. Detection of Arrhythmia via Electrical Activity of the Heart Using AI Techniques

    • J. Pramitha, X. Anitha Mary

    Pages 189-200

16. Utilizing Deep Convolutional Neural Networks for Image-Based Plant Disease Detection

    • Saha Reno, Marzia Khan Turna, Sheikh Tasfia, Md. Abir, Anusha Aziz

    Pages 201-216

17. Detection of Covid-19 Using an Infrared Fever Screening System (IFSS) Based on Deep Learning Technology

    • V. Muthu, S. Kavitha

    Pages 217-228

18. Improving the Power Quality of Wind Turbines Under Unbalance Voltage Conditions Using the SMC Approach

    • B. Hariprasad, G. Sreenivasan, D. Mahesh Kumar, T. Lakshmi Swapna

    Pages 229-241

19. NAML—A Novel Approach of Machine Learning Implementation in the Hospitality Industry

    • C. S. Ashwin, Sheela Thavasi, K. R. Rangarajan

    Pages 243-252

20. A Novel Dynamic Energy Amendment Control for Solar Fed Brushless DC Motor for Water Pumping System

    • U. Arun Kumar, K. S. Chandraguptamauryan, K. Chandru, W. Rajan Babu

    Pages 253-266

This book presents selected papers from the 7th International Conference on Inventive Systems and Control (ICISC 2023), held on January 30–31, 2023, at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2023 include an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there are no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2023 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.

• Intelligent Systems
• Soft Computing
• Automation Systems
• Computational Intelligence
• Machine Learning
• Big Data Analytics and Internet of Things
• ICISC 2023 Proceedings

• Computer Science and Design, Dayananda Sagar College of Engineering, Bengaluru, India

  V. Suma

• University of Haute Alsace, Mulhouse, France

  Pascal Lorenz

• School of Information Technology, Deakin University, Geelong, Australia

  Zubair Baig

Suma. V has obtained her B.E., M.S., and Ph.D. in Computer Science and Engineering. She in addition being Professor in Information Science and Engineering is also holding a position of Dean in Research and Industry Incubation Centre.  She is also associated with leading software industries such as Wipro and was associated to Infosys and Exilant Technologies for training their software developers toward development of customer-satisfied products. She is further Consultant and Research Advisor at National Foundation for Entrepreneurship Development (NFED) which is an NGO whose objective is to uplift women and downtrodden community. She was associated with Hochschule Hof University, Germany, as a mentor for foreign exchange programs since 2007. She was Single Point of Contact for Infosys Campus Connect program from February 2011 to June 2016. She was also a recognized mentor in ACM MentorNet where she was mentoring an international student from Sate Mississippi University for the doctoral degree. She has guided several doctoral students from universities such as VTU, JNTU, Bharathiar, and Jain and in the panel of Ph.D. examiners in universities such as Jain, Anna, JNTU, University of Madras, University of North Maharashtra, University of Botswana, University of Johannesburg, Dr. M G R University, Periyar University, Karpagam University,  and so on.  She has successfully guided 11 Ph.D. scholars from various universities till now, and many are in the pipeline. She is responsible for several MOU’s for DSCE with industries such as Aero IT, QSIT, Envids Technologies LLP, and Avam Consulting and with other universities.


Pascal Lorenz received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995, he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is Professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks, and high-speed networks. He is the author/co-author of 3 books, 3 patents, and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010), and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017). He has served as Co-program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel session’s Co-chair for Globecom'16, Tutorial Chair of VTC'2013 Spring and WCNC'2010, Track Chair of PIMRC'2012 and WCNC'2014, and Symposium Co-chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014, and '2016. He has served as Co-guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems, and LNCS. He is Associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley), and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is Senior Member of the IEEE, IARIA Fellow, and Member of many international program committees. He has organized many conferences, chaired several technical sessions, and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.


Zubair Baig is currently Senior Lecturer in Cyber Security with the School of Information Technology, Deakin University, Geelong, VIC, Australia. He is also Co-director of the Security and Privacy in IoT (SPYRiT) Research Lab and Division Lead, IoT, Critical Infrastructure and CPS Security, and Centre for Cyber Security Research and Innovation (CSRI). He has authored/co-authored over 85 journal and conference papers and book chapters. His research interests are in the areas of cyber-security, the IoT, artificial intelligence, and optimization algorithms. He is serving as Editor for the IET Wireless Sensor Systems Journal and PSU—A Review—Journal. He has served on numerous technical program committees of international conferences and has delivered more than 15 keynote talks on cyber-security.