Ramu / Chee Onn / Sumithra International Conference on Computing, Communication, Electrical and Biomedical Systems

1. Auflage 2022
ISBN: 978-3-030-86165-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 690 Seiten, eBook

Reihe: EAI/Springer Innovations in Communication and Computing

This book presents selected papers from the International Conference on Computing, Communication, Electrical and Biomedical Systems (ICCCEBS 2021), held in March 2021 at KPR College of Engineering and Technology, Coimbatore, Tamil Nadu, India. The conference explores the interface between industry and real-time environments with newly developed techniques in computing and communications engineering. The papers describe results of conceptual, constructive, empirical, experimental, and theoretical work in areas of computing, communication, electrical, and biomedical systems. Contributors include academic scientists, researchers, industry representatives, postdoctoral fellows, and research scholars from around the world.

Zielgruppe

Research

Autoren/Hrsg.

Ramu, Arulmurugan

Chee Onn, Chow

Sumithra, M.G.

Inhaltsverzeichnis

1.       Chapter 1: Designing an ML - Based Congestion Detection Algorithm for Routing Data in MANETs

2.       Chapter 2: Empirical Analysis of Effect of Resampling on Supervised Learning Algorithms in Predicting Types of Lung Cancer on Multiclass Imbalanced Micro Array Gene Expression Data

3.       Chapter 3: Artificial Intelligence to Protect Cyber Security Attack on Cloud E-Learning Tools (AI- PCE)

4.       Chapter 4: Online OPD Management with Rating and Review System to Hospitals and Doctors

5.       Chapter 5: Design and Analysis of Various Non-Radiating Transmission Line Structures on a High-Speed PCB’s

6.       Chapter 6: Mediating Effect of Quality Enhancement between ICT-Related Factors and Student Satisfaction in Open and Distance Education

7.       Chapter 7: Synthesis  and  Characterization  of  Nano  Particles

8.       Chapter 8: Unisum Labeling of Hydra Hexagons

9.       Chapter 9: An Implementation of Mobile Shareable Content Oject Reference Model for Online Assessment using Virtal Learning Environment

10.   Chapter 10: A Finest Secured Routing Techniques With Transmision Of Data In Mobile Adhoc Newtorks

11.   Chapter 11: Evaluation of Various Cryptographic Techniques Based on File Size on Cloud Storage Security

12.   Chapter 12: Cloud Based Bio-Metric Enhanced ATM Powered by Deep Learning

13.   Chapter 13: Data Mining In Health Care: Application Perspective

14.   Chapter 14: A Hybrid Filter Wrapper Embedded Feature Selection for Selecting Important Attributes and Prediction of Chronic Kidney Disease

15.   Chapter 15: A Survey on Algorithms in Game Theory in Big Data

16.   Chapter 16: RG Technique to Reduce the Fuel Consumption and Co2 Emission in Vanet

17.   Chapter 17: Emphasizing a productive and protective access control to improve authentication using 802.1X with Software Defined Networks

18.   Chapter 18: Feature Extraction by Rework Image Recognition (RIR) Learning Model

19.   Chapter 19: Comprehensive Deep Recurrent Artificial Neural Network (CDRANN) - Evolutionary Model for Future Prediction

20.   Chapter 20: An Efficient Navigation Approach for Toll Plaza using Map Matching Algorithm with Hidden Markov Model

21.   Chapter 21: Mining Of Customer Review Feedback Using Sentiment Analysis For Smart Phone Product

22.   Chapter 22: Privacy Preservation framework for Bigdata Analysis

23.   Chapter 23: Interactive artificial neural network model for UX design

24.   Chapter 24: Multimodal Biometric Person Identification System Based on Speech and Keystroke Dynamics

25.   Chapter 25: Predictive Water Quality Modelling using ARIMA and VAR for Locations of Krishna River, Andhra Pradesh, India

26.   Chapter 26: Selection of Routing Protocol Based Qos Improvement for Mobile Adhoc Network

27.   Chapter 27: Multi Clustering Management (MC-M) based Segmentation of multiple organs from Abdominal CT images

28.   Chapter 28: Efficient Performance of Data Science Application in Medical Field

29.   Chapter 29: Enhancing Social Divergence using Genetic Algorithms and Linked Open Data for improving Immunity System against COVID-19

30.   Chapter 30: Ethereum Based P2P Lending System (Dao App) - Qualitative Review of a Possible Replacement for Lending Practices

31.   Chapter 31: Malware Detection based on Portable Executable file features

32.   Chapter 32: Design  IoT Based Blind Stick for Visually Disabled Persons

33.   Chapter 33: Collaborative Interactive Workspace Environment using Augmented Reality

34.   Chapter 34: Analysis and Prediction of Covid-19 Cases Using Machine Learning Algorithms

35.   Chapter 35: Food Detection and Nutritional Recognition System using Neural Networks

36.   Chapter 36: Online shipping management firm with route and cost optimization for warehouses

37.   Chapter 37: Digital Certificate Based User Authentication to Access Networks and Hosts

38.   Chapter 38: Wield Nodemcu IOT To Shelter Coal Mining

39.   Chapter 39: Pancreases Segmentation and classification based on RCNN and AlexNet

40.   Chapter 40: A Compact Wideband dielectric resonator antenna for 5G applications

41.   Chapter 41: Development of FLC Based AC to AC Converter for Wind Energy

42.   Chapter 42: Energy management system for small scale hybrid wind solar battery based microgrid

43.   Chapter 43: EYE-TM :An Automatic Teller Machine  for the visually- impaired

44.   Chapter 44: High-Capacity Reversible Data hiding using lossless LZW compression

45.   Chapter 45: Tropical Cyclone detection using Optical flow estimation Deep Learning

46.   Chapter 46: Importance of Information and Communication Technology (ICT) in Higher Education Paper

47.   Chapter 47: A brief analysis of Border Gateway Protocol for Internet Controlling and Malicious Attacks

48.   Chapter 48: Hybrid Blind Watermarking using RDWT-DCT in Singular Value Decomposition Domain

49.   Chapter 49: A Real and Accurate Data Traffic Control in Wireless Sensor Networks Using CSMA Model

50.   Chapter 50: A Novel Approach for File Security in Cloud

51.   Chapter 51: Malicious Firmware Injection Detection on Wireless Networks using Deep Learning TF-IDF Normalization (MFI-IDF)

52.   Chapter 52: An Efficient Authentication Using Monitoring Scheme for Node Misbehavior Detection in Manet

53.   Chapter 53: A Framework for Analysis of Network Traffic using Predictive Algorithm

54.   Chapter 54: A Review on Deep Learning Technique on Basis of Different Types of Crop Diseases

55.   Chapter 55: Food Plant Diversity of Homestead Gardens in Cherangode Panchayath of Nilgiri District, TamilNadu

Über Autor(innen)

Dr. Arulmurugan Ramu is a Professor, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. His main research interest is in vision, particularly high-level visual recognition. He has authored more than 35 papers in major computer vision and machine learning conferences and journals. He is the recipient of Ph.D. degrees in Information and Communication Engineering from the Anna University at Chennai, M.Tech in Information Technology Anna University of Technology and B.Tech degree in Information Technology. He is guided many Ph.D. research scholar under the area of Image Processing using Machine Learning. He is an Associate Editor of Inderscience IJISC journal. He is awarded as Best Young Faculty Award 2018 and nominated for Best Young Researcher Award (Male) by International Academic and Research Excellence Awards (IARE-2019).

Chee-Onn Chow received his Bachelor of Engineering (Hons) and Master of Engineering Science degrees from University of Malaya, Malaysia in 1999 and 2001, respectively. He received his Doctorate of Engineering from the Tokai University, Japan in 2008. He joined the Department of Electrical Engineering as tutor in 1999, and subsequently been offered a lecturer position in 2001. He is currently an Associate Professor in the same department since 2015. His research interests include various issues related to wireless communications. He is a Chartered Engineer (IET, UK), a Professor Engineer (BEM, Malaysia) and a Senior Members of IEEE.

M. G. Sumithra, serves as Professor in Electronics and Communication Engineering, KPR Institute of Engineering and Technology. Coimbatore, TamilNadu, India. She obtained BE(Electronics and Comm. Engg.) from Govt. College of Engineering, Salem, India in 1994, received M.E.(Medical Electronics) from College of Engineering, Guindy, Anna University Chennai, India in 2001 and received PhD( Information and Communication Engineering) Anna University Chennai, India in 2011. Her areas of interest include Big Data, Signal Processing, Medical Image Processing, Biomedical Engineering and Wireless Communications. She has published 55 technical papers in refereed journals, 124 research papers in national and International conferences in India and abroad. She is an active member in various professional societies like ISTE, IEEE, IAENG, IACSIT, IET,  IEEE Nanotechnology Council, IEEE Biometrics Council IEEE Computer Society Technical Committee, Cloud Computing Community, Green ICT Community and Fellow in IETE, India Bio-Design.