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  • Conference proceedings
  • © 2020

Progress in Computing, Analytics and Networking

Proceedings of ICCAN 2019

  • Presents research in the field of computing, analytics and networking
  • Includes the outcomes of ICCAN 2019, held at the School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1119)

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Table of contents (65 papers)

  1. Front Matter

    Pages i-xxvi
  2. An Ensemble Approach for Classification of Thyroid Using Machine Learning

    • Bhavna Dharamkar, Praneet Saurabh, Ritu Prasad, Pradeep Mewada
    Pages 13-22
  3. Text Classification with K-Nearest Neighbors Algorithm Using Gain Ratio

    • Manjari Singh Rathore, Praneet Saurabh, Ritu Prasad, Pradeep Mewada
    Pages 23-31
  4. An Effective Framework for Skyline Queries Using Principal Component Analysis

    • Meenakshi Karsh, Sandeep Rai, Rajesh Boghey, Praneet Saurabh
    Pages 33-43
  5. Disease Classification Using Linguistic Neuro-Fuzzy Model

    • Himansu Das, Bighnaraj Naik, H. S. Behera
    Pages 45-53
  6. Ant Colony Optimization (ACO-Min) Algorithm for Test Suite Minimization

    • Subhasish Mohanty, Sudhir Kumar Mohapatra, Sultan Feisso Meko
    Pages 55-63
  7. Peer Analysis of “Sanguj” with Other Sanskrit Morphological Analyzers

    • Jatinderkumar R. Saini, Jaideepsinh K. Raulji
    Pages 65-73
  8. Color Image Encryption Technique Using 4D Logistic Map

    • Shubham Kumar, Chittaranjan Pradhan
    Pages 75-82
  9. Deep Learning Models for Analysis of Traffic and Crowd Management from Surveillance Videos

    • S. Seema, Suhas Goutham, Smaranita Vasudev, Rakshith R. Putane
    Pages 83-93
  10. An Innovative Image-Based Tabular Data Extraction Parallel Algorithm

    • Varun Nagesh Jolly Behera, Ashish Ranjan, Motahar Reza
    Pages 95-104
  11. Classification of Amino Acid Using Micro-electrical Model

    • Tanusree Roy, Pranabesh Bhattacharjee
    Pages 125-132
  12. Optimizing Performance of Text Searching Using CPU and GPUs

    • M. Musthafa Baig, S. Sivakumar, Soumya Ranjan Nayak
    Pages 141-150
  13. Automatic Parking Service Through VANET: A Convenience Application

    • Biswa Ranjan Senapati, Pabitra Mohan Khilar
    Pages 151-159
  14. Fault Diagnosis in Wireless Sensor Network Using Self/Non-self Discrimination Principle

    • Santoshinee Mohapatra, Pabitra Mohan Khilar
    Pages 161-168
  15. Efficient Data Structure for the Top-k Variation of Sports Auction

    • Biswajit Sanyal, Subhashis Majumder, Priya Ranjan Sinha Mahapatra
    Pages 169-178
  16. A Deep Convolutional Neural Network Approach to Rice Grain Purity Analysis

    • Mushahidul Islam Shamim, Biprodip Pal, Anhad Singh Arora, Mahbubul Amin Pial
    Pages 179-189

About this book

This book focuses on new and original research ideas and findings in three broad areas: computing, analytics, and networking and their potential applications in the various domains of engineering – an emerging, interdisciplinary area in which a wide range of theories and methodologies are being investigated and developed to tackle complex and challenging real-world problems. The book also features keynote presentations and papers from the International Conference on Computing Analytics and Networking (ICCAN 2019), which offers an open forum for scientists, researchers and technocrats in academia and industry from around the globe to present and share state-of-the-art concepts, prototypes, and innovative research ideas in diverse fields. Providing inspiration for postgraduate students and young researchers working in the field of computer science & engineering, the book also discusses hardware technologies and future communication technologies, making it useful for those in the field of electronics.


Editors and Affiliations

  • School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India

    Himansu Das, Prasant Kumar Pattnaik, Siddharth Swarup Rautaray

  • Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

About the editors

Himansu Das is an as Assistant Professor at the School of Computer Engineering, KIIT University, Bhubaneswar, India. He holds B. Tech and M. Tech degrees from Biju Pattnaik University of Technology (BPUT), Odisha, India. He has published several research papers in various international journals and conferences and has also edited several international books. He is a member of the editorial and review boards of a number of journals and conferences and has served as the organizing chair, publicity chair and as a member of the program committees of several national and international conferences. He is also associated with various educational and research societies like IACSIT, ISTE, UACEE, CSI, IET, IAENG, and ISCA. His research interests include grid computing, cloud computing, and machine learning.

Prasant Kumar Pattnaik, PhD (Computer Science), fellow of the IETE, and senior member of the IEEE, is a Professor at the School of Computer Engineering, KIITUniversity, Bhubaneswar. He has more than a decade of teaching and research experience, and has published several papers in peer-reviewed international journals and conferences. His areas of specialization are mobile computing, cloud computing, brain computer interface and privacy preservation. He has also edited various volumes for Springer and IGI Global.

Siddharth Swarup Rautaray, PhD (Information Technology), and member of the IET, IEEE, ACM is an Assistant Professor at the School of Computer Engineering, KIIT University, Bhubaneswar. His research interests include big data analytics, human computer interaction and image processing. He has published research papers in various international journals and conferences. He has been an organizing chair/committee member for a number of international conferences, workshops and symposiums, and a reviewer for various journals and conferences.

Kuan-Ching Li is currently a Distinguished Professor at Providence University, Taiwan. He is a recipient of awards and funding support from several agencies and industrial companies, as he also received distinguished chair professorships from universities in China and other countries. Besides publication in refereed journals and top conference papers, he is co-author/co-editor of more than 25 technical professional books published by CRC Press/Taylor & Francis, Springer, and McGraw-Hill. Dr. Li’s research interests include GPU/manycore computing, Big Data, and cloud. He is a senior member of the IEEE and a fellow of the IET.

 

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access