Advances in Communication and Computational Technology

1. Front Matter

   Pages i-xvii

   PDF

2. A Drug Recommendation System for Multi-disease in Health Care Using Machine Learning

   • N. Komal Kumar, D. Vigneswari

   Pages 1-12

3. Smart Mobility: Understanding Handheld Device Adoption

   • Latika Kharb, Deepak Chahal, Vagisha

   Pages 13-29

4. An Efficient Numerical Technique for Solving the Time-Fractional Cahn–Allen Equation

   • Amit Prakash, Hardish Kaur

   Pages 31-43

5. Image Colorization with Deep Convolutional Neural Networks

   • Sudesh Pahal, Preeti Sehrawat

   Pages 45-56

6. Electroencephalogram Based Biometric System: A Review

   • Kaliraman Bhawna, Priyanka, Manoj Duhan

   Pages 57-77

7. Improved Neural Network-Based Plant Diseases Identification

   • Ginni Garg, Mantosh Biswas

   Pages 79-89

8. Maximum Power Extraction Using Random Binary Searching Algorithm Under Non-uniform Insolation

   • Kusum Lata Agarwal, Avdhesh Sharma

   Pages 91-107

9. Prevention Against Internal Attack via Trust-Based Detection for Wireless Mesh Networks

   • Amit Kumar Roy, Ajoy Kumar Khan

   Pages 109-117

10. Sensor-Based Alarm System for Preventing Crop Vandalization by Birds in Agricultural Regions

    • Siddhanta Borah, Ankush Kumar Gaur, J. Arul Valan

    Pages 119-132

11. Pricing Mechanisms for Fair Bills and Profitable Revenue Share in Cloud Federation

    • Sameera Dhuria, Anu Gupta, R. K. Singla

    Pages 133-148

12. Higher Order Squeezing in Pump Mode in Multi-wave Mixing Process

    • Priyanka, Savita Gill

    Pages 149-162

13. Active Power Loss Diminution by Chaotic-Based Adaptive Butterfly Mating Optimization Algorithm

    • Kanagasabai Lenin

    Pages 163-169

14. Mobile-Based Signature Database (MOBSIGN DB): A New Signature Database

    • Sudhir Rohilla, Anuj Sharma, R. K. Singla

    Pages 171-180

15. Mining of Association Rules in R Using Apriori Algorithm

    • Anjali Mehta, Deepa Bura

    Pages 181-188

16. Comprehensive and Comparative Analysis of Different Files Using CP-ABE

    • Sahil Jalwa, Vardaan Sharma, Abdur Rehman Siddiqi, Ishu Gupta, Ashutosh Kumar Singh

    Pages 189-198

17. Efficient Data Cube Materialization

    • Raghu Prashant, Mann Suman, Raghu Eashwaran

    Pages 199-210

18. Ontology-Based Full-Text Searching Using Named Entity Recognition

    • Krishna Kumar, Md. Tanwir Uddin Haider, Shamsh Sameed Ahsan

    Pages 211-222

19. Recognition of Online Handwritten Gurmukhi Characters Through Neural Networks

    • Sukhdeep Singh, Anuj Sharma

    Pages 223-234

20. Optimizing Stream Data Classification Using Improved Hoeffding Bound

    • Arvind Pillania, Pardeep Singh, Vrinda Gupta

    Pages 235-243

This book presents high-quality peer-reviewed papers from the International Conference on Advanced Communication and Computational Technology (ICACCT) 2019 held at the National Institute of Technology, Kurukshetra, India. The contents are broadly divided into four parts: (i) Advanced Computing, (ii) Communication and Networking, (iii) VLSI and Embedded Systems, and (iv) Optimization Techniques.The major focus is on emerging computing technologies and their applications in the domain of communication and networking. The book will prove useful for engineers and researchers working on physical, data link and transport layers of communication protocols. Also, this will be useful for industry professionals interested in manufacturing of communication devices, modems, routers etc. with enhanced computational and data handling capacities.

• Computing
• Signal Processing
• Communication
• Networking
• VLSI
• Embedded Systems
• Optimization techniques
• IoT
• ICACCT 2019

• Department of Mathematics and Computer Science, University of Maryland Eastern Shore, Princess Anne, USA

  Gurdeep Singh Hura

• Department of Master of Computer Applications, National Institute of Technology Kurukshetra, Kurukshetra, India

  Ashutosh Kumar Singh

• Department of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Malaysia

  Lau Siong Hoe

Dr. Gurdeep Singh Hura is an esteemed researcher and professor in the Department of Mathematics and Computer Science, UMES, Princess Anne, Maryland. He completed his B. S. degree in Electronics and Telecommunication Engineering in 1972 from Jabalpur University, India. He completed M.S. degree in Electronics and Tele-Communications Engineering in 1975 and Ph.D. in Computer Engineering in 1985, from Indian Institute of Technology, Roorkee, India. His research area includes Cyber security, GIS and E-portfolio, Distributed Algorithms. Network forensics, Software Engineering, Modeling and Simulation, Wireless Communication Security, Routing and Scheduling Strategies in High-speed Networks, Resource Allocation and Load Balancing . He is an author/co-author of over hundred technical papers, which were published, in International IEEE journals and refereed conferences. He guest edited three special issues on "Petri nets and related graph models: Past, Present and Future", 1991, “The Practice of Performance modeling and reliability analysis”, 1996, and “Internet: The state of the art”, Computer Communication (Elsevier, UK), 1998. He is co-author of a book on “Data and Computer Communications: Networking and internetworking”, CRC Press, 2001 and written six chapters in computer networks, terrestrial networks, dynamicity in social networks, and related areas. He received an external funding of over $5M for his research projects in US. He is a co-author of Best paper award on “Dynamic load balancing in Heterogeneous Computing system with Node Model”, 3rd International Conference in Industry and Engg (CAINE 2018), New Orleans, Oct 8-10, 2018. He is a senior member of IEEE and was elevated to Fellow of Society for Design and Process Science in 2002. He has organized tutorials on Computer Networks, Modeling and analysis, Software engineering, Cyber infrastructure, Cyber security and Accreditation Board of Engineering and Technology (ABET) accreditation in the countries: Singapore, India, Australia, Malaysia, Indonesia, China, and others. He is CAC ABET National and International Program evaluator. He was a consultant to NEC, Inc., Japan on load balancing aspect of its operating system for parallel machine (2000-2004). He received many awards such as Post-Tenure Review award of Excellence in recognition of outstanding achievement of exemplary Research/Scholarship, UMES,2018, Distinguished Scholar Award, School of Graduate Studies, UMES, 2015, Achievement award, World Congress of Computer and Engineering, Las Vegas, July 2016, etc.


Dr. Ashutosh Kumar Singh is an esteemed researcher and academician in the domain of Electrical and Computer engineering. Currently, he is working as a Professor and Head; Department of Computer Applications; National Institute of Technology; Kurukshetra, India. He has more than 18 years research, teaching and administrative experience in various University systems of the India, UK, Australia and Malaysia.Dr. Singh obtained his Ph. D. degree in Electronics Engineering from Indian Institute of Technology-BHU, India; Post Doc from Department of Computer Science, University of Bristol, United Kingdom and Charted Engineer from United Kingdom. He is the recipient of Japan Society for the Promotion of Science (JSPS) fellowship for short term visit in University of Tokyo and other Universities and another university of Japan. His research area includes Verification, Synthesis, Design and Testing of Digital Circuits, Predictive Data Analytics, Data Security in Cloud, Web Technology. He has published more than 240 research papers till now in peer reviewed journals, conferences and news magazines and in these areas. He has also co-authored eight books including “Web Spam Detection Application using Neural Network”, “Digital Systems Fundamentals” and “Computer System Organization & Architecture”. Prof. Singh has worked as principal investigator/investigator for six sponsored research projects andwas a key member on a project from EPSRC (United Kingdom) entitled “Logic Verification and Synthesis in New Framework”. Dr. Singh has visited several countries including Australia, United Kingdom, South Korea, China, Thailand, Indonesia, Japan and USA for collaborative research work, invited talks and to present his research work. He had been entitled for 13 awards such as Merit Awards-2003 (Institute of Engineers), Best Poster Presenter-99 in 86th Indian Science Congress held in Chennai, INDIA, Best Paper Presenter of NSC’99 INDIA and Bintulu Development Authority Best Postgraduate Research Paper Award for 2010, 2011, 2012. He has served as an Editorial Board Member of International Journal of Networks and Mobile Technologies, International journal of Digital Content Technology and its Applications. Also he has shared his experience as a Guest Editor for Pertanika Journal of Science and Technology, Chairman of CUTSE International Conference 2011, Conference Chair of series of International Conference on Smart Computing and Communication (ICSCC), and as editorial board member of UNITAR e-journal. He is involved in reviewing process in different journals and conferences of repute including IEEE transaction of computer, IET, IEEE conference on ITC, ADCOM etc.
 
Dr. Lau Siong Hoe serves as a Professor at the Faculty of Information Science and Technology, Multimedia University, Malaysia. Presently he is the Dean of Faculty of Information Science and Technology. Dr. Lau research interest is in the area of Big Data Visualization, Educational Data Mining & Learning Analytics, Educational Computing & Technology and Human-Computer Interaction.  Over the past few years, he has been doing research focusing on Business Intelligence & Analytics in Education and Human-Computer Interaction Security (HCISec). He has over 100 scientific papers and projects either presented or published. Dr. Lau is a Senior Member of IEEE, USA and certified as a MATRIZ level 3 practitioner. He is regularly sought after and requested lecturer at the majority of major IT/Computer Science schools. He also speaks regularly at workshops/conferences/seminars on Business Intelligence & Analytics with self-service BI solution and how to accelerate innovation and solve problems creatively in a scientific way with Design Thinking and TRIZ approaches for technology, engineering and management fields. Dr. Lau Siong Hoe received his degree in Electrical Engineering with Education (Hons) from University of Technology, Malaysia (UTM). He then completed his study in M. Sc. (IT) from University Putra Malaysia (UPM) and PhD from Multimedia University, Malaysia (MMU).

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