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Intelligent Communication, Control and Devices: Proceedings of ICICCD 2018

Intelligent Communication, Control and Devices: Proceedings of ICICCD 2018

Paperback

Series: Advances in Intelligent Systems and Computing, Book 989

Technology & EngineeringGeneral Computers

ISBN10: 981138617X
ISBN13: 9789811386176
Publisher: Springer Nature
Published: Aug 29 2019
Pages: 988
Weight: 3.13
Height: 2.03 Width: 6.14 Depth: 9.21
Language: English
Chapter 1. Performance Improvement of Three Phase Squirrel Cage Induction Motor Operating Under Rated Voltages - A Design Consideration for Rural Areas.- Chapter 2. Design and Analysis of a Broad-Gain-Bandwidth Metasurface Antenna for Computational Microwave Imaging.- Chapter 3. A Rate Control Algorithm to Improve TCP over RFID Reader Network.- Chapter 4. A Binary Harmony Search Algorithm Approach for Security constrained allocation of PMUs to obtain Complete Network Observability.- Chapter 5. Ledger Based Sorting Algorithm.- Chapter 6. A Survey on Wireless Optical Communication: Potential & Challenges.- Chapter 7. Microwave Imaging of the Breast with a Ring Shaped DRA (Dielectric Resonator Antenna) for Cancer Detection.- Chapter 8. Simulation and Analysis of Distinct Apodized Profiles Using Fiber Bragg Grating For Dispersion Compensation at 100Gbps Over 120Km.- Chapter 9. Development of Integrated Distance Authentication and Finger Print Authorization Mechanism to Reduce Fraudulent Online Transaction.- Chapter 10. A Comparative Analysis of Infrared and Visible Image Fusion Methods in Transform Domain.- Chapter 11. Selection of Optimal Performance Parameters of Alumina/Water Nanofluid Flow in Ribbed Square Duct by Using AHP-TOPSIS Techniques.- Chapter 12. A Review: Soil Moisture Estimation Using Different Techniques.- Chapter 13. Monostatic Radar Based Ultra-Wideband Microwave Imaging System Featuring a Miniature Fork Shaped Microstrip Patch Antenna with a Reduced DGS for Early Breast Tumor Detection.- Chapter 14. An Enhanced Authentication Technique to Mitigate the Online Transaction Fraud.- Chapter 15. A Study of Factors to Predict At-risk Students Based on Machine Learning Techniques.

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