Non-Invasive Screening Tool to Detect Anemia

Non-Invasive Screening Tool to Detect Anemia A.A. Azees, S. Suthaharan, K. Dinomi, Jayatunga E.H. Hemoglobin concentration is a vital parameter used to detect abnormalities in the human body including anemia and polycythemia. Currently, invasive techniques are used for hemoglobin measurement despite their many disadvantages including discomfort and potential complications for the pregnant, elderly and pediatric…

Electronic Travel Aid (ETA) System for Visually Impaired People

The aim of this project is to implement a reliable energy monitoring system which can measure current and voltage values to calculate useful parameters in order to produce useful outcomes or to carry out certain functionalities like device identification, pattern recognition, cost prediction etc. For this a set of smart plug devices are connected to a central device via wireless technology.

Analysis of Diabetes Retinopathy Using Retinal Images

This project is a biomedical research-based project. There are basically two stages of Diabetic Retinopathy (DR) as non-proliferative DR and proliferative DR. When a person is suffering from early stages of DR the patient cannot identify any difference in vision. But when it develops to proliferative DR, the person can experience a difference in vision. At this stage, no treatments can be done because retinal tissues are highly damaged. But if the disease is diagnosed at early stages the vision loss can be prevented.

MPPT Technique Based on Perturb and Observe Method for PV Systems Under Partial Shading Conditions

MPPT Technique Based on Perturb and Observe Method for PV Systems Under Partial Shading Conditions Dr. Iromi Ranaweera, Raziya, M. Afnaz, S. Jesudason, I. Ranaweera and H. Walpita An algorithm to track the maximum power point of a photovoltaic panel under partial shading conditions was developed and tested via simulations and hardware implementation. Key Words:…

Optimum Demand and Supply Operations of Power Systems

SMART POWER MANAGEMENT SYSTEM Rajitha Udawalpola, Taisuke Masuta The aim of this project is to implement a reliable energy monitoring system which can measure current and voltage values to calculate useful parameters in order to produce useful outcomes or to carry out certain functionalities like device identification, pattern recognition, cost prediction etc. For this a…

Smart Power Management System

Keywords: Machine Learning, Embedded System

The aim of this project is to implement a reliable energy monitoring system which can measure current and voltage values to calculate useful parameters in order to produce useful outcomes or to carry out certain functionalities like device identification, pattern recognition, cost prediction etc. For this a set of smart plug devices are connected to a central device via wireless technology.