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Full Description
The Internet of Things (IoT) has emerged as a new paradigm that connects the physical world with the digital world. It is a network of interconnected devices, sensors, and objects that can communicate with each other, collect and exchange data, and perform various tasks without human intervention. The IoT has the potential to revolutionize various industries, such as healthcare, transportation, manufacturing, and agriculture, by enabling real-time monitoring, automation, and optimization of processes. This book is a collection of research manuscripts that explores the latest developments in smart technologies for sustainable living with reference to the IoT landscape, including its architecture, applications and challenges. The research covers a wide range of topics including character segmentation, recognition and classification, deep learning, smart home, earthquake early-warning system, wireless sensor network, embedded RFID system and many more. It also discusses various IoT platforms, protocols, and standards that are being developed to enable seamless integration and interoperability of IoT devices and services. The research book aims to become a valuable resource for researchers, practitioners, and policymakers interested in smart technologies and sustainable living.
Contents
Smart Home Door Lock Alarm System.- Development of an IoT-Smart Parking Mall Sensor Using Blynk and ThingSpeak.- Development of a Smart Travellator using Blynk and ThingSpeak for Monitoring Customer's Temperature.- Development of Smart Agriculture (Smart Hydroponic) to Monitor Soil Humidity Level.- Earthquake Monitoring and Detection using the Internet of Things as Communication Protocol.- Development of a Malaysian Plate Number Recognition System for Parking Violation.- Smart Recycle Bin Prototype using Convolutional Neural Network for Trash Classification .- On Optimization of Selective Mapping and Clipping Hybrid Scheme Using Firefly Algorithm for PAPR Reduction.- Embedded RFID System: OKU Smart Card Detector.- Quality Improvement of Small Form-Factor Pluggable (SFP) Units Assembly using Robotic Automated System.- An Energy-Efficient Clustering Protocol for the Lifetime Elongation of Wireless Sensors in IoT Networks.- Smart Vending Machine for B40 Student.
