Search results for "fuzzy logic system"

showing 4 items of 4 documents

Automatic Monitoring System for the Evolution of the Hemangiomas

2019

In this paper we describe an automatic monitoring system for the evolution of infantile hemangiomas using a fuzzy logic system based on two parameters: area and redness. To follow the evolution, we have used for each subject pairs of images at different moments of time. The starting points of the algorithm are the rectangular regions of interest (ROI), manually selected for each of the two images, and automatically segmented using Otsu’s method in combination with different preprocessing methods. Using the results of segmentation, we could compute the evolution of the area and the evolution of the redness of hemangioma. These two parameters were used as input for the fuzzy logic system, obt…

Fuzzy logic systemComputer sciencebusiness.industryMonitoring systemPattern recognitionmedicine.diseaseFuzzy logicOtsu's methodHemangiomasymbols.namesakemedicinesymbolsPreprocessorSegmentationArtificial intelligencebusiness2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
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Development of a predicitive type-2 neurofuzzy controller

2009

A controller that combines the main characteristics and advantages of three different control methodologies is proposed for the control of systems with nonlinearities and uncertainties. A neural network predictive control approach is implemented modifying the output of a controller with a fuzzy logic structure that uses type-2 fuzzy sets. Neural networks are also used to optimize the membership function parameters. The proposed controller is tested by simulation for the control of a bioreactor characterized by bifurcation and parameter uncertainty.

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciPredictive control Type-2 fuzzy logic systems Neurofuzzy control
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Sviluppo di un sistema di supporto decisionale tipo Fuzzy per il controllo della glicemia post-prandiale nel diabete mellito tipo 1

2010

fuzzy logic system neuro fuzzy system expert system diabetes mellitus glycemia control
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Development of a fuzzy expert system for the control of glycemia in type 1 diabetic patients

2011

Abstract The paper describes the structure and the characteristics of an expert system that allows the optimization of postprandial glycemia in type 1 diabetic patients. The expert system is able to provide patients with the number of rapid insulin units that must be taken in order to keep the blood glucose level close to the omeostatic condition in the hours following a meal.

medicine.medical_specialtyFuzzy logic systemSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciFuzzy expert systembusiness.industryInsulinmedicine.medical_treatmentControl (management)computer.software_genremedicine.diseaseExpert systemEndocrinologyPostprandialInternal medicineDiabetes mellitusEmergency medicinemedicinebusinesscomputerfuzzy logic system neuro fuzzy system expert system diabetes mellitus glycemia control
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