Artificial Intelligence and Evolutionary Computations in Engineering Systems

1. Front Matter

   Pages i-xviii

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2. Automatic Generation Control Using Novel PD Plus FOPI Controller Tuned by Salp Swarm Algorithm

   • Nimai Charan Patel, Manoj Kumar Debnath, Binod Kumar Sahu, Subhransu Sekhar Dash

   Pages 1-13

3. Plant Disease Identification and Detection Using Support Vector Machines and Artificial Neural Networks

   • S. Iniyan, R. Jebakumar, P. Mangalraj, Mayank Mohit, Aroop Nanda

   Pages 15-27

4. Efficiency Comparison and Analysis of Pseudo-random Generators in Network Security

   • Asis Kumar Tripathy, Satyabrata Swain, Alekha Kumar Mishra

   Pages 29-37

5. A Detailed Analysis of Intruders’ Activities in the Network Through the Real-Time Virtual Honeynet Experimentation

   • Rajarajan Ganesarathinam, M. Amutha Prabakar, Muthukumaran Singaravelu, A. Leo Fernandez

   Pages 39-53

6. Global and Local Signed Pressure Force Functions Active Contour Model Based on Entropy

   • Preeti Tiwari, Rajeev Kumar Gupta, Ramgopal Kashyap

   Pages 55-67

7. Optimization of Big Data Using Rough Set Theory and Data Mining for Textile Applications

   • I. Bhuvaneshwarri, A. Tamilarasi

   Pages 69-77

8. Machine-Learning-Based Device for Visually Impaired Person

   • Tuhina Priya, Kotla Sai Sravya, S. Umamaheswari

   Pages 79-88

9. Forest Cover Classification Using Stacking of Ensemble Learning and Neural Networks

   • Pruthviraj R. Patil, M. Sivagami

   Pages 89-102

10. Predicting the Trends of Price for Ethereum Using Deep Learning Techniques

    • Deepak Kumar, S. K. Rath

    Pages 103-114

11. Development of a Novel Embedded Board: CANduino

    • Ashish Daniel Cherian, S. Aman Nair, Aishwarya Janardhanan, Yashika Gupta, M. Sangeetha

    Pages 115-124

12. Sales Demand Forecasting Using LSTM Network

    • Balakrishnan Lakshmanan, Palaniappan Senthil Nayagam Vivek Raja, Viswanathan Kalathiappan

    Pages 125-132

13. Privacy-Enhanced Emotion Recognition Approach for Remote Health Advisory System

    • M. Thenmozhi, K. Narmadha

    Pages 133-142

14. An Effective Approach for Plant Monitoring, Classification and Prediction Using IoT and Machine Learning

    • Kumari Shibani, K. S. Sendhil Kumar, G. Siva Shanmugam

    Pages 143-154

15. Encrypted Transfer of Confidential Information Using Steganography and Identity Verification Using Face Data

    • Parth Agarwal, Dhruve Moudgil, S. Priya

    Pages 155-166

16. Intelligent Wireless Sensor Networks for Precision Agriculture

    • D. Anitha, Vaibhav D. Shelke, C. G. Anupama, Pooja Rajan

    Pages 167-181

17. Mining of Removable Closed Patterns in Goods Dataset

    • V. S. Amala Kaviya, B. Valarmathi, T. Chellatamilan

    Pages 183-192

18. Comparative Analysis and Performance of DSTATCOM Device Using PI and Second-Order Sliding Mode Control

    • K. Swetha, V. Sivachidambaranathan

    Pages 193-203

19. Stock Market Prediction Using Long Short-Term Memory

    • M. Ferni Ukrit, A. Saranya, Rallabandi Anurag

    Pages 205-212

20. Dragonfly Algorithm for Optimal Allocation of D-STATCOM in Distribution Systems

    • V. Tejaswini, D. Susitra

    Pages 213-228

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

• ICAIECES 2019
• Intelligent Communication Systems
• Evolutionary Computations
• Computational Intelligence in Wireless Networks
• Robotics and Automation
• Computational Methods in Biomedicine

• Department of Electrical Engineering, Government College of Engineering, Keonjhar, India

  Subhransu Sekhar Dash

• Department of Software Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India

  C. Lakshmi

• Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

  Swagatam Das

• Department of Electrical Engineering, IIT Delhi, New Delhi, India

  Bijaya Ketan Panigrahi

Dr. Subhransu Sekhar Dash is presently a Professor and HOD  in the Department of Electrical  Engineering, Government College of Engineering, Keonjhar, Odisha, India. He received his Ph.D. degree from College of Engineering, Guindy, Anna University, Chennai, India. He has more than 22 years of research and teaching experience. His research areas are AI techniques application to power system, modeling of FACTS controller, power quality and smart grid. He is a Visiting Professor at Francois Rabelais University, POLYTECH, France. He has published more than 220 research articles in peer-reviewed international journals and conferences.


Dr. C. Lakshmi is working as a Professor and Head in the Department of Software Engineering, SRM Institute of Science & Technology, India. She received her B.E., M.E., and Ph.D., degree in Computer Science and Engineering in 1990, 2001 and 2010 respectively. Her research interests include Pattern Recognition, Image Processing, Machine learning and Software Engineering. She has published many papers in International Journals and Conferences. She has served as guest editor in various international journals.


Dr. Swagatam Das received the B. E. Tel. E., M. E. Tel. E (Control Engineering specialization), and Ph.D. degrees, all from Jadavpur University, India, in 2003, 2005, and 2009, respectively. Currently, he is serving as an Assistant Professor at the Electronics and Communication Sciences Unit of Indian Statistical Institute, Kolkata. His research interests include evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. Dr. Das has published one research monograph, one edited volume, and more than 150 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of “Swarm and Evolutionary Computation,”, an international journal from Elsevier. He serves as associate editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems and Information Sciences (Elsevier). He is an editorial board member of Progress in Artificial Intelligence (Springer), Mathematical Problems in Engineering, International Journal of Artificial Intelligence and Soft Computing, and International Journal of Adaptive and Autonomous Communication Systems. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE).


Dr. B K Panigrahi is working as a Professor in the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as a faculty in Electrical Engineering Department, UCE Burla, Odisha, India, from 1992 to 2005. Dr Panigrahi is a senior member of IEEE and Fellow of INAE, India. His research interest includes the application of soft computing and evolutionary computing techniques to power system planning, operation, and control. He has also worked in the fields of bio-medical signal processing and image processing. He has served as the editorial board member, associate editor, and special issue guest editor of different international journals. He is also associated with various international conferences in various capacities. Dr. Panigrahi has published more than 100 research papers in various international and national journals.

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