Detecção de interface em tanques de petróleo usando transmissores de nível e controladores Fuzzy

This work presents a proposal to detect interface in atmospheric oil tanks by installing a differential pressure level transmitter to infer the oil-water interface. The main goal of this project is to maximize the quantity of free water that is delivered to the drainage line by controlling the interface. A Fuzzy Controller has been implemented by using the interface transmitter as the Process Variable. Two ladder routine was generated to perform the control. One routine was developed to calculate the error and error variation. The other was generate to develop the fuzzy controller itself. By using rules, the fuzzy controller uses these variables to set the output. The output is the position variation of the drainage valve. Although the ladder routine was implemented into an Allen Bradley PLC, Control Logix family it can be implemented into any brand of PLCs

Ambiente para avaliação de controladores fuzzy aplicados ao método de elevação artificial por bombeio centrífugo submerso

From their early days, Electrical Submergible Pumping (ESP) units have excelled in lifting much greater liquid rates than most of the other types of artificial lift and developed by good performance in wells with high BSW, in onshore and offshore environments. For all artificial lift system, the lifetime and frequency of interventions are of paramount importance, given the high costs of rigs and equipment, plus the losses coming from a halt in production. In search of a better life of the system comes the need to work with the same efficiency and security within the limits of their equipment, this implies the need for periodic adjustments, monitoring and control. How is increasing the prospect of minimizing direct human actions, these adjustments should be made increasingly via automation. The automated system not only provides a longer life, but also greater control over the production of the well. The controller is the brain of most automation systems, it is inserted the logic and strategies in the work process in order to get you to work efficiently. So great is the importance of controlling for any automation system is expected that, with better understanding of ESP system and the development of research, many controllers will be proposed for this method of artificial lift. Once a controller is proposed, it must be tested and validated before they take it as efficient and functional. The use of a producing well or a test well could favor the completion of testing, but with the serious risk that flaws in the design of the controller were to cause damage to oil well equipment, many of them expensive. Given this reality, the main objective of the present work is to present an environment for evaluation of fuzzy controllers for wells equipped with ESP system, using a computer simulator representing a virtual oil well, a software design fuzzy controllers and a PLC. The use of the proposed environment will enable a reduction in time required for testing and adjustments to the controller and evaluated a rapid diagnosis of their efficiency and effectiveness. The control algorithms are implemented in both high-level language, through the controller design software, such as specific language for programming PLCs, Ladder Diagram language.

Testicular arteries systematization based on different levels of scrotal configuration in caprines

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A doorway to Borromean halo nuclei: the Samba configuration

We exploit the possibility of new configurations in three-body halo nuclei, Samba type (the neutron-core form a bound system) as a doorway to Borromean systems. The nuclei Be-12, B-15, N-23 and F-27 are of such nature, in particular N-23 with a half-life of 37.7 s and a halo radius of 6.07 fm is an excellent example of Samba-halo configuration. The fusion below the barrier of the Samba halo nuclei with heavy targets could reveal the so far elusive enhancement and a dominance of one-neutron over two-neutron transfers, in contrast to what was found recently for the Borromean halo nucleus He-6 + U-238.

Application of fuzzy logic for the evaluation of livestock slaughtering

A lógica fuzzy admite infinitos valores lógicos intermediários entre o falso e o verdadeiro. Com esse princípio, foi elaborado neste trabalho um sistema baseado em regras fuzzy, que indicam o índice de massa corporal de animais ruminantes com objetivo de obter o melhor momento para o abate. O sistema fuzzy desenvolvido teve como entradas as variáveis massa e altura, e a saída um novo índice de massa corporal, denominado Índice de Massa Corporal Fuzzy (IMC Fuzzy), que poderá servir como um sistema de detecção do momento de abate de bovinos, comparando-os entre si através das variáveis linguísticas )Muito BaixaM, ,BaixaB, ,MédiaM, ,AltaA e Muito AltaM. Para a demonstração e aplicação da utilização deste sistema fuzzy, foi feita uma análise de 147 vacas da raça Nelore, determinando os valores do IMC Fuzzy para cada animal e indicando a situação de massa corpórea de todo o rebanho. A validação realizada do sistema foi baseado em uma análise estatística, utilizando o coeficiente de correlação de Pearson 0,923, representando alta correlação positiva e indicando que o método proposto está adequado. Desta forma, o presente método possibilita a avaliação do rebanho, comparando cada animal do rebanho com seus pares do grupo, fornecendo desta forma um método quantitativo de tomada de decisão para o pecuarista. Também é possível concluir que o presente trabalho estabeleceu um método computacional baseado na lógica fuzzy capaz de imitar parte do raciocínio humano e interpretar o índice de massa corporal de qualquer tipo de espécie bovina e em qualquer região do País.

Sistema fuzzy para estimativa do bem-estar de matrizes pesadas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fuzzy modeling to predict chicken egg hatchability in commercial hatchery

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Shape changes of longan fruits during growth in a tropical environment

In this work we propose a new indicator to classify the best period for longan fruit harvest, based on measurements of its longitudinal and transversal axis during growth. Shape analysis based on area per volume ratio (AN) and sphericity show that those indicators stabilize after during longan growth period, independently of variety, in a specific environment. As sphericity increases 6% during fruits growth, AN ratio decreases dramatically (75%) closing to maturity, at 120 days after anthesis. The first derivative of A/V ratio indicates three distinct phases that are related to the growth phases of fruits. We believe that those shape indicators could be used to probe the right point of longan fruits maturity in different environments in a quantitative way.

Pobreza multidimensional na região nordeste: uma aplicação da Teoria dos Conjuntos Fuzzy (em 2010)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Tornar-se, ser e viver do professorado: entre regularidades e variações identitárias

The main aim of this research has been to analyze the identity patterns of the teacher s staff of fundamental education public schools in the Metropolitan Area of Natal-RN. It sets out from the hypothesis that being a teacher within this context grows out of the regularities of a specific habitus, which, according to Bourdieu, develops into mental schemes of thought and action within a specific social group. This habitus forms the basis on which is built the social representation of being a teacher prevailing in the group, as well as the symbolic differences that typify its identity variations. Three data sources have been fundamental in building up this thesis: (a) formative essays of students graduating from a Higher Teacher s Formation Course, as well as observing some of the public defense of these essays during field work; (b) a questionnaire aimed at classifying economically, socially, and culturally a sample of public teachers of the Natal-RN county; and (c) submitting a sub-sample of this group to the process of Multiple Classification Procedures (MCP). The analysis of data was done according to the multidimensional, non-parametric statistical procedures of both the Category Content Analysis and Enunciation Analysis methods. The results of the analysis took into account an ample set of variables, its associations and implications, the cultural and social profile of the population under scrutiny, their life styles, as well as the strategies they developed in the process of becoming a teacher, and the social representation of being a teacher . We came to the conclusion that the social identity of the teachers corps, or as we prefer to say it being a teacher , is a result of a set of regularities produced by the habitus that gives social shape and meaning to the existence of the group proper. We note the existence of identity variations caused by the variables (a) educational level; and (b) mode of action in fundamental education (if these are the first or last grades where the subjects operate). However, these variations will not break the power of the regularities that give shape, meaning, and social visibility to the group. The social representation of being a teacher points to the tensions, ambiguities, and trends inherent to common sense, as well as to a strong tendency to reassign a new meaning to being a teacher. Our thesis, therefore, is that the identity configuration of the teachers corps under scrutiny is characterized by an integrative synthesis, by-product of a habitus that is superimposed, and at the same time co-exists with different identity variations

SINAES: as diferentes faces da avaliação na UFRN

This thesis entitled SINAES: the different faces of the evaluation at UFRN, aims to analyze the configuration that the national policy for assessment in higher education has taken on UFRN. We assume that in recent years there are an oscillation between the concepts of evaluation, according with the logic of public administration it has preferred an approach that presents itself as a promoter of quality, sometimes with regulatory aspects, sometimes with educational ones. The text discusses the use of the new assessment tools for higher education placing them under the new demands on state reform context in which this is to promote and measure quality based on the values of excellence and competitiveness. This movement arises from the redefinition of the role of the State that has been taking features of Evaluator State. From a historical review of government initiatives in the field of evaluation, we analyze the characteristics of assessment policies outlined over the past decades. We are based on the theoretical method that aims to examine the multiple determinants that shape a particular reality from the larger movement of totality. To identify, in this case, connections and ruptures that have emerged over the history of assessment policies aimed at higher education by checking their determinants in order to better explain the reality. To investigate the object of this study we used as instruments: the research literature and research documents, the semi-structured interviews and non-participant observation. The study revealed that there are different practices of evaluation and that before to establishment the SINAES program, the UFRN already had a culture of an institutional assessment, more participatory and democratic, opposing to the rigidity of the self-assessment in SINAES program that it was instituted by the Commission for assessment (CPA). We also noticed that the implementation of the SINAES at URFN has been performed very slowly and the breadth and complexity of the evaluation process has contributed to hinder its implementation in all dimensions provided by MEC. Although it was observed that in its operationalization the SINAES has assumed a more normative assessment and directed to establish rankings between courses and higher education schools than to establish a more qualitative assessment in this system. As regards the evaluation of the undergraduate course studied on this research and subjected to the three dimensions of evaluation proposed by SINAES (self-assessment, Evaluation of Courses and ENADE) it was not possible to verify an effective integration between the methods of assessing conducted. The results are considered separately, in only a partial view of the course evaluated the proposal what pits the SINAES as a system that involves the totality

Small relief shape variations influence spatial variability of soil chemical attributes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Arquitetura inteligente fuzzy para monitoramento de sinais vitais de pacientes: um estudo de caso em UTI

The area of the hospital automation has been the subject a lot of research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality). This thesis presents an architecture for a patient monitoring and alert systems. This architecture is based on intelligent systems techniques and is applied in hospital automation, specifically in the Intensive Care Unit (ICU) for the patient monitoring in hospital environment. The main goal of this architecture is to transform the multiparameter monitor data into useful information, through the knowledge of specialists and normal parameters of vital signs based on fuzzy logic that allows to extract information about the clinical condition of ICU patients and give a pre-diagnosis. Finally, alerts are dispatched to medical professionals in case any abnormality is found during monitoring. After the validation of the architecture, the fuzzy logic inferences were applied to the trainning and validation of an Artificial Neural Network for classification of the cases that were validated a priori with the fuzzy system

Método Fuzzy para auxílio ao diagnóstico de câncer de mama em ambiente inteligente de telediagnóstico colaborativo para apoio à tomada de decisão

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.

Análise comparativa do desempenho de um Controlador Fuzzy acoplado a um PID Neural sintonizado por um Algoritmo Genético com Controladores Inteligentes Convencionais

On this paper, it is made a comparative analysis among a controller fuzzy coupled to a PID neural adjusted by an AGwith several traditional control techniques, all of them applied in a system of tanks (I model of 2nd order non lineal). With the objective of making possible the techniques involved in the comparative analysis and to validate the control to be compared, simulations were accomplished of some control techniques (conventional PID adjusted by GA, Neural PID (PIDN) adjusted by GA, Fuzzy PI, two Fuzzy attached to a PID Neural adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA) to have some comparative effects with the considered controller. After doing, all the tests, some control structures were elected from all the tested techniques on the simulating stage (conventional PID adjusted by GA, Fuzzy PI, two Fuzzy attached to a PIDN adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA), to be implemented at the real system of tanks. These two kinds of operation, both the simulated and the real, were very important to achieve a solid basement in order to establish the comparisons and the possible validations show by the results