This paper aims to analyze the adequacy of social support practices in non-profit sector by users and representatives which are part “Conselho Local de Ação Social (CLAS)” a organization located north Portugal focused on prevention exclusion poverty. A mixed methodological approach was used. questionnaire applied beneficiaries. To complement results, interviews with entities that constitute exe...

Vision-based flame detection can be applied in large open spaces for fire detection, which has been achieved with camera surveillance systems. The motion estimator exploits some motion features such as color, shape and texture that are used to recognize fire and non-fire region. Classical systems applied optical flow estimation methods for flame detection which are based on the assumptions, for...

This paper presents the architecture of an Optical Character Recognition (OCR) technology application based on two approaches, a multilayer neural network and a Support Vector Machine (SVM) classifier using Zernike moments for feature extraction. The performance comparison of the two approaches is based on the similar layout of most of the characters that must be recognized. The comparison show...

This paper first reviewed the relevant theories of neural network, rough sets and support vector machine (SVM). All of them have great advantages on dealing with various imprecise and incomeplete data. However, there exists essential difference among them. Except for neural network, rough sets and support vector machine are seldom used in the field of remote sensing image classification. How to...

This paper suggests a method of applying convolutional neural network (CNN) to realtime moving-vehicle image dataset, and experiments its performances. Compared to Support vector machine (SVM), the CNN led to a 13.59% increase in performance.