5 resultados para Alberto Guerreiro Ramos

em Universidade Federal do Rio Grande do Norte(UFRN)


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The Solidary Economy is an area that has shown unusual traits to what is preached in the traditional economic organizations, even organizations that have very similar principles, as some cooperatives. This trait is approaching the concept of isonomy proposed by Ramos (1989). Given this context, and the notion that the isonomy is like a ideal type, the objective this work was to evidence particulars of isonomic environment the in economic and solidarity experiences, taking as an empirical research area the Grupo de Mulheres Decididas a Vencer, considered a solidary economic enterprise. For this, we used the descriptive-exploratory research of qualitative nature, where the object of such research is the know enterprise, therefore, also characterized as a case study, which were taken as research subjects six associates, they being the most active in the enterprise. From the five categories that characterize isonomy - minimum standards prescribing, self-gratifying activity, activities undertaken as a vocation, wide system of making decision and primaries interpersonal relations - and from the traits of a solidary economic enterprise the data analysis was built, through content analysis, specifically the categorial analysis. Given this context and reality in which it is Grupo de Mulheres Decididas a Vencer, with minimal rules and procedures for conducting activities, comparing them to a therapy, women choosing to insert in that environment, faced with a democratic space and unfettered bureaucracy in professional interpersonal relationships, in others words, an organizational space where they were shown signs of substantive rationality was possible to conclude that the Group will share experiences and characteristics of isonomy. This disclosure meets the multidimensional social that presupposes Paraecomomic Paradigm, enabling man to enter in different social environments of the economy in order to search for self-actualization

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The number of applications based on embedded systems grows significantly every year, even with the fact that embedded systems have restrictions, and simple processing units, the performance of these has improved every day. However the complexity of applications also increase, a better performance will always be necessary. So even such advances, there are cases, which an embedded system with a single unit of processing is not sufficient to achieve the information processing in real time. To improve the performance of these systems, an implementation with parallel processing can be used in more complex applications that require high performance. The idea is to move beyond applications that already use embedded systems, exploring the use of a set of units processing working together to implement an intelligent algorithm. The number of existing works in the areas of parallel processing, systems intelligent and embedded systems is wide. However works that link these three areas to solve any problem are reduced. In this context, this work aimed to use tools available for FPGA architectures, to develop a platform with multiple processors to use in pattern classification with artificial neural networks

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Breast cancer, despite being one of the leading causes of death among women worldwide is a disease that can be cured if diagnosed early. One of the main techniques used in the detection of breast cancer is the Fine Needle Aspirate FNA (aspiration puncture by thin needle) which, depending on the clinical case, requires the analysis of several medical specialists for the diagnosis development. However, such diagnosis and second opinions have been hampered by geographical dispersion of physicians and/or the difficulty in reconciling time to undertake work together. Within this reality, this PhD thesis uses computational intelligence in medical decision-making support for remote diagnosis. For that purpose, it presents a fuzzy method to assist the diagnosis of breast cancer, able to process and sort data extracted from breast tissue obtained by FNA. This method is integrated into a virtual environment for collaborative remote diagnosis, whose model was developed providing for the incorporation of prerequisite Modules for Pre Diagnosis to support medical decision. On the fuzzy Method Development, the process of knowledge acquisition was carried out by extraction and analysis of numerical data in gold standard data base and by interviews and discussions with medical experts. The method has been tested and validated with real cases and, according to the sensitivity and specificity achieved (correct diagnosis of tumors, malignant and benign respectively), the results obtained were satisfactory, considering the opinions of doctors and the quality standards for diagnosis of breast cancer and comparing them with other studies involving breast cancer diagnosis by FNA.

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The fundamental senses of the human body are: vision, hearing, touch, taste and smell. These senses are the functions that provide our relationship with the environment. The vision serves as a sensory receptor responsible for obtaining information from the outside world that will be sent to the brain. The gaze reflects its attention, intention and interest. Therefore, the estimation of gaze direction, using computer tools, provides a promising alternative to improve the capacity of human-computer interaction, mainly with respect to those people who suffer from motor deficiencies. Thus, the objective of this work is to present a non-intrusive system that basically uses a personal computer and a low cost webcam, combined with the use of digital image processing techniques, Wavelets transforms and pattern recognition, such as artificial neural network models, resulting in a complete system that performs since the image acquisition (including face detection and eye tracking) to the estimation of gaze direction. The obtained results show the feasibility of the proposed system, as well as several feature advantages.

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The Solidary Economy is an area that has shown unusual traits to what is preached in the traditional economic organizations, even organizations that have very similar principles, as some cooperatives. This trait is approaching the concept of isonomy proposed by Ramos (1989). Given this context, and the notion that the isonomy is like a ideal type, the objective this work was to evidence particulars of isonomic environment the in economic and solidarity experiences, taking as an empirical research area the Grupo de Mulheres Decididas a Vencer, considered a solidary economic enterprise. For this, we used the descriptive-exploratory research of qualitative nature, where the object of such research is the know enterprise, therefore, also characterized as a case study, which were taken as research subjects six associates, they being the most active in the enterprise. From the five categories that characterize isonomy - minimum standards prescribing, self-gratifying activity, activities undertaken as a vocation, wide system of making decision and primaries interpersonal relations - and from the traits of a solidary economic enterprise the data analysis was built, through content analysis, specifically the categorial analysis. Given this context and reality in which it is Grupo de Mulheres Decididas a Vencer, with minimal rules and procedures for conducting activities, comparing them to a therapy, women choosing to insert in that environment, faced with a democratic space and unfettered bureaucracy in professional interpersonal relationships, in others words, an organizational space where they were shown signs of substantive rationality was possible to conclude that the Group will share experiences and characteristics of isonomy. This disclosure meets the multidimensional social that presupposes Paraecomomic Paradigm, enabling man to enter in different social environments of the economy in order to search for self-actualization