Fatema Haque Jui’s scientific contributions

This study describes a smart solar water pumping system that uses an induction motor drive and has grid-interactive characteristics. Solar PVs (SPV) may power up the irrigation and agricultural loads, reducing the load on the electrical grid. In addition to supplying the rated water discharge, the system is made to feed excess electricity back into the grid. By keeping an eye on the SPV array's power output, the maximum power (MPP) point is reached, guaranteeing optimal use of the device. The system operates in four distinct modes, and a universal control for each mode is suggested. The pump is guaranteed to run continuously even if the grid is not there. The motor that drives the induction motor is a variable frequency inverter (VSI). Additionally, the suggested system uses a voltage source converter (VSC) to enable bidirectional power transmission. The MATLAB/Simulink model of the system shows how well the suggested system integrates the SPV source into the grid, as do the simulated results.

The idea of "smart homes" has been completely transformed by the Internet of Things' (IoT) rapidly expanding technological capabilities, which allow for seamless automation and remote device control. Because of Python's strong and versatile programming features, this thesis discusses the design and simulation of IoT frameworks and device communication in a smart home setting. The suggested system incorporates a number of simulated Internet of Things (IoT) devices, including security cameras, smart lights, and thermostats. These devices use the MQTT (Message Queuing Telemetry Transport) protocol to connect with one another through a centralized message broker. The simulation demonstrates how various smart home components interact by simulating real-time communication between devices and a central controller using Python and the Paho MQTT module. Every gadget is represented as a MQTT client that reacts to simulated environmental changes and publishes status updates on a regular basis. Dynamic monitoring and control are made possible by the central controller, which processes incoming messages and subscribes to the device topics. The study simulates realistic smart home situations including automatic lighting, temperature control, and motion detection while highlighting the architectural concepts underlying effective communication, scalability, and security in IoT networks. This study advances knowledge about Internet of Things frameworks and how they may be used to improve the comfort, security, and energy efficiency of smart homes. It also lays the groundwork for future efforts to integrate more IoT protocols, cloud services, and sophisticated machine learning methods for predictive automation.