The Internet of Things (Io T) 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 Io T 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 Io T 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 Io T platforms, protocols, and standards that are being developed to enable seamless integration and interoperability of Io T devices and services. The research book aims to become a valuable resource for researchers, practitioners, and policymakers interested in smart technologies and sustainable living.
Зміст
Smart Home Door Lock Alarm System.- Development of an Io T-Smart Parking Mall Sensor Using Blynk and Thing Speak.- Development of a Smart Travellator using Blynk and Thing Speak 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 Io T Networks.- Smart Vending Machine for B40 Student.
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