Engineering Commons^™

Real-Time Supervised Detection Of Pink Areas In Dermoscopic Images Of Melanoma: Importance Of Color Shades, Texture And Location, Ravneet Kaur, P. P. Albano, Justin G. Cole, Jason R. Hagerty, Robert W. Leander, Randy Hays Moss, William V. Stoecker

Electrical and Computer Engineering Faculty Research & Creative Works

Background/Purpose: Early detection of malignant melanoma is an important public health challenge. In the USA, dermatologists are seeing more melanomas at an early stage, before classic melanoma features have become apparent. Pink color is a feature of these early melanomas. If rapid and accurate automatic detection of pink color in these melanomas could be accomplished, there could be significant public health benefits.

Methods: Detection of three shades of pink (light pink, dark pink, and orange pink) was accomplished using color analysis techniques in five color planes (red, green, blue, hue, and saturation). Color shade analysis was performed using a logistic …

An Improved Particle Swarm Optimization Based Maximum Power Point Tracking Strategy With Variable Sampling Time

Faculty of Engineering University of Malaya

This paper presents an improved maximum power point tracking (MPPT) strategy for photovoltaic (PV) systems based on particle swarm optimization (PSO). The capability of the PSO algorithm to cope with partially shaded conditions (PSCs) is the primary motivation of this research. Unlike conventional PSO-based MPPT systems, a variable sampling time strategy (VSTS) based on the investigation of the dynamic behavior of converter current is deployed to increase system tracking time. The performance of the proposed system is evaluated using MATLAB simulation and experimentation, in which a digital signal controller is used to implement the proposed algorithm on a real boost …

Desarrollo E Implementación De Un Algoritmo Para Localización Relativa De Sags De Tensión En Un Sistema De Distribución, Cristian Camilo Díaz Piñeros, Angie Lorena Rivera Gómez

Ingeniería Eléctrica

Este proyecto tiene como propósito el desarrollo e implementación de un algoritmo en Matlab que permita determinar, en un sistema de distribución, la zona donde hay presencia de fuentes de sags. Para obtener este algoritmo, se utilizó el sistema de distribución de prueba IEEE de 37 nodos, modelado en el software ATP, además se simularon fallas de diferente naturaleza en distintos puntos del sistema. A partir de la información obtenida en las simulaciones, se realizó el tratamiento de datos para proceder a desarrollar el algoritmo en Matlab, el cual tuvo en cuenta elementos como la topología del sistema y la …

A Distributed Diffusion-Driven Algorithm For Load Balancing In An Electrical Power Grid, Isaac Abhilash Ayyala

LSU Master's Theses

In this thesis we propose a distributed algorithm, based on diffusion, to balance loads on an electrical power grid, while maintaining stable operation (system’s ability to maintain bus voltages within preset bounds). This algorithm, called the Diffusion-driven Distributed Load Balancing (DDLB) algorithm, is implemented on the OMNET++ Discrete Event Simulator and the response of the physical grid is simulated on a load flow program, which together simulate a deployment of the DDLB algorithm on the grid. The electrical grid is represented as a graph whose nodes are buses and whose edges are power lines connecting buses. Each node (except the …