
Sensor Imaging Systems for Real-Time Applications
Intelligent Solutions for Diverse Sectors
by S. Kannadhasan, R. Nagarajan, T. Kamalakannan, M. Chandrasekaran, N. Shanmugasundaram
1st Edition
Publisher: Apple Academic Press
Book Details
| Print ISBN | 9781774919262 |
| eText ISBN | 9781040333631 |
| Publisher | Apple Academic Press |
| Publishing Year | 2025 |
| Edition | 1st Edition |
| Language | English |
| Pages | 322 |
Sensor Imaging Systems for Real-Time Applications, 1st Edition, offers a detailed compilation of intelligent sensor implementations aimed at engineering professionals and academic communities in electronics and communication engineering. The volume addresses critical requirements across clinical diagnostic tools, modern agricultural automation, and optical vehicular networking.
The text highlights machine learning algorithms evaluated on mammogram image datasets to assist in the early prediction of breast cancer. It further examines environmental and agricultural technology through UV-based bio-pest controlling systems and automated drip irrigation setups managed via Internet of Things connections. Additionally, vehicle-to-vehicle communication frameworks constructed with Li-Fi technology demonstrate real-time optical data transmission.
Edited by S. Kannadhasan, R. Nagarajan, T. Kamalakannan, M. Chandrasekaran, and N. Shanmugasundaram, this 322-page work published by Apple Academic Press provides practical context for upper-level coursework and industrial reference.
Table of Contents
Chapter 1: Embodying Connectivity: Wearable Radio Frequency Devices for Embedded Applications
Chapter 2: Fabrication of a Three-Wheeled Segway
Chapter 3: Application of Legendre Neural Network as an Effective Numerical Solution for a Second Order Robot Arm Control Problem
Chapter 4: Comparative Study on Machine Learning Algorithms in Early Prediction of Breast Cancer in Mammogram Image Datasets
Chapter 5: Design of an Enhanced Multiplier Using Booth Algorithm
Chapter 6: UV-Based Bio-Pest Controlling System to Aid Agriculture
Chapter 7: Advanced Monitoring and Healthcare for Asthma
Chapter 8: An Intelligent Monitoring System Using RFID Technology
Chapter 9: Cloud-Based Monitoring and Controlling of Three-Phase Induction Motor
Chapter 10: Smart Helmet for Protective Driving
Chapter 11: Vehicle-to-Vehicle Communication Using Li-Fi Technology
Chapter 12: Smart Hand-Glove-Based E-Vocalizer for Audio- and Voice-Impaired Individuals
Chapter 13: IoT-Based Demand Side Energy Management
Chapter 14: Rough Terrain Vehicle Using a Rocker Bogie Mechanism
Chapter 15: IoT-Based Smart Chair to Recognize the Sitting Position of Employees
Chapter 16: Automated Drip Irrigation Using IoT
Chapter 17: Sewage Surveillance and Support System
Chapter 18: Smart Monitoring and Controlling the Speed of DC Shunt Motor
Chapter 19: Smart Shopping Using Smart Trolley
Chapter 20: True Accident Detection and Rescue System
Chapter 21: Underground Cable Fault Distance Locator
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