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Subject Details
Dept     : AIDS
Sem      : 5
Regul    : 2019
Faculty : Swathi ramiya
phone  : NIL
E-mail  : swathiramya.r.it@snsce.ac.in
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Assignments

Due Date Is Over
Due Date: 31-08-2024
logical design of iot
take a one real time example like home automation system and explain logical design .
Due Date Is Over
Due Date: 10-09-2024
physical design of iot
explain the physical design with block diagram
Due Date Is Over
Due Date: 29-09-2024
Exploring the Integration of RFID Technology
Exploring the Integration of RFID Technology in IoT Systems Investigate how RFID technology is integrated into IoT systems across various industries. Analyze its impact on data collection, tracking, and automation, while examining challenges, solutions, and future potential.
Due Date Is Over
Due Date: 30-09-2024
The Role of NFC in IoT Applications: Use Case
Objective: Explore how NFC (Near Field Communication) technology is applied within IoT systems for secure, contactless data exchange. Analyze its use in key industries, the challenges associated with its integration, and future trends in NFC technology.
Due Date Is Over
Due Date: 26-10-2024
TRUST IN IOT
Trust in IoT is crucial for ensuring secure, reliable, and private interactions between devices, networks, and users. It involves safeguarding data integrity, authenticating devices, and maintaining user privacy while preventing unauthorized access. As IoT systems expand across industries like healthcare and smart cities, fostering trust is vital for successful adoption and the safe exchange of information within these interconnected environments. This assignment explores key aspects of trust, including security protocols, privacy protection, and risk management in IoT networks.
Due Date Is Over
Due Date: 04-11-2024
AIOT
AIoT combines the power of Artificial Intelligence (AI) with the Internet of Things (IoT) to create intelligent, autonomous systems that can analyze data, learn from patterns, and make decisions without human intervention. This assignment focuses on how AI enhances IoT applications, such as smart cities, smart health, collaborative robots, digital twins, drones, and smart retailing, by optimizing processes, predicting outcomes, and automating tasks. Students will explore real-world use cases, the benefits of AI-driven IoT systems, and the challenges of integrating AI into IoT networks.