Sistema de monitorização de defeitos na rede de energia elétrica de média tensão

Nesta dissertação de Mestrado em Engenharia Eletrotécnica – Telecomunicações desenvolveu-se um sistema de monitorização de defeitos de uma rede de energia elétrica de média tensão, para melhorar a qualidade de serviço do fornecimento de energia elétrica. O sistema deteta e indica a localização da respetiva falha, que impede o funcionamento de uma parte da rede, também interliga todos os sensores instalados na rede a um ponto central que recebe toda a informação proveniente dos sensores, e ajuda na tomada de decisão. Neste trabalho de dissertação fez-se o estudo e descrição das redes de energia elétrica, realçando a topologia, o modo de operação e parâmetros de qualidade. Assinalou-se também os principais defeitos que podem ocorrer na rede de média tensão. Apresentou-se, ao nível comercial, soluções para mitigar o problema alvo de estudo. Explorou-se, num ambiente de simulação, soluções de deteção dos defeitos da rede, tendo sido desenvolvidos três sistemas distintos: sistema A, sistema B e sistema C. Sistema A que monitoriza o valor nominal da corrente elétrica em cada troço da rede elétrica, sistema B com a monitorização do valor da corrente elétrica em cada posto de transformação e sistema C que compara as correntes no inicio e final de cada troço da rede elétrica, verificando se há alguma discrepância entre ambas. Após a análise e simulação das soluções descreve-se o procedimento realizado para criar um protótipo de um sistema de monitorização. Começou-se por testar, individualmente, os sensores de corrente, circuito de condicionamento, microcontroladores e sistema Scada, usado para a visualização dos dados. Posteriormente, elaborou-se manuais de utilização de forma a auxiliar o sistema em trabalhos futuros que venham dar continuidade a este trabalho. Para validar a análise teórica e confirmar os resultados da simulação, testou-se experimentalmente o sistema de deteção C. Confirmou-se que o sistema de monitorização de defeitos é capaz de detetar e localizar a avaria presente na rede de energia elétrica.

Sistema fuzzy para estimativa do bem-estar de matrizes pesadas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Tomada de decisão de controle da traça-do-tomateiro através de armadilhas com feromônio sexual

Visou-se estabelecer a relação entre a infestação da traça-do-tomateiro, Tuta absoluta, na planta e adultos capturados em armadilhas com feromônio sexual e a produtividade, para avaliar a influência da infestação na produção da cultura do tomate e aperfeiçoar a tomada de decisão de controle pela densidade de adultos. Armadilhas com feromônio sexual foram instaladas e avaliadas duas vezes por semana, em três áreas de cultivo comercial de tomateiro em São Paulo (Mogi-Guaçu, Tambaú e Sorocaba), em sistema estaqueado, divididas em áreas experimentais com cerca de 18.000 plantas cada (1,5 ha). Nas mesmas datas foi avaliada a infestação de pragas nas plantas, estendendo-se até o término da colheita. A produtividade foi definida pelo total de caixas (24 kg) comercializadas/1.000 plantas. A relação entre a produção da cultura do tomate e a infestação de T. absoluta na planta ou nas armadilhas com feromônio foi expressa por uma equação linear e negativa. A ocorrência de adultos nas armadilhas e a infestação da praga em plantas foram relacionados significativamente com a redução da produtividade. O nível de controle de T. absoluta através do monitoramento com feromônio sexual foi de 45 ± 19,50 insetos/dia na armadilha.

Terceirização em tecnologia da informação sob os aspectos de estratégia, tomada de decisão e análise de investimentos :estudo de múltiplos casos em três organizações franqueadas da Coca-Cola do Brasil

Desde a criação da tecnologia e do seu uso pelas empresas, a relação custo e benefício nem sempre foi bem elucidada tanto para os responsáveis pela área de tecnologia quanto para a alta direção. Mas, apesar disto, cada vez mais as organizações investem maciçamente em tecnologia, esperando que esta seja a solução para diversos problemas. Por isto, esta questão tem se tornado crucial para o processo de tomada de decisões, visto que investimentos nesta área costumam ser dispendiosos e, na atual conjuntura, estas análises precisam ser extremamente criteriosas para que se miniminizem as possibilidades de insucesso dos projetos, principalmente numa economia estabilizada e de concorrência acirrada. Uma das alternativas que as empresas têm buscado para atingir o sucesso e correr menos riscos é a terceirização da área de TI. Partindo desta visão, a presente dissertação tem por objetivo realizar uma investigação sobre a terceirização dos serviços de TI em todos os seus aspectos, isto é, desde a sua motivação, serviços efetivamente terceirizados, vantagens, desvantagens e possíveis obstáculos, a visão do alinhamento estratégico da TI, os processos de gestão de contratos e formas de controle e, por fim, tendências futuras. Trata-se de uma pesquisa de múltiplos casos, envolvendo franquias do Sistema Coca-Cola no Brasil. O estudo apresenta uma pesquisa bibliográfica sobre o processo de tomada de decisão empresarial, a análise de investimentos, a gestão e a terceirização da TI, o que permitem definir as dimensões de análise da pesquisa. Na pesquisa de campo foram entrevistados os gerentes da área de TI, nas cidades de Brasília-DF, Goiânia-GO e Ribeirão Preto-SP. A pesquisa de campo permitiu identificar como as mesmas avaliam seus investimentos em TI, como esta área é gerenciada, o que as levou a optar pela terceirização e como os processos terceirizados afetam a organização. Por se tratar de uma pesquisa qualitativa, optou-se por analisar comparativamente as três organizações. Com a realização deste estudo, obtiveram-se, como principais resultados, que as organizações estão utilizando a terceirização em TI para focar no negócio principal e, mesmo encontrando diversas desvantagens, inclusive com relação a custos, acreditam que os benefícios justificam. Ainda identificaram-se alguns obstáculos internos para a terceirização, principalmente quanto ao receio de se perder a inteligência do negócio. O acompanhamento dessas atividades terceirizadas é realizado pela equipe interna e por critérios estruturados, onde se verificam os níveis de serviço

Reconhecimento de voz através de unidades menores do que a palavra, utilizando Wavelet Packet e SVM, em uma nova estrutura hierárquica de decisão

The automatic speech recognition by machine has been the target of researchers in the past five decades. In this period have been numerous advances, such as in the field of recognition of isolated words (commands), which has very high rates of recognition, currently. However, we are still far from developing a system that could have a performance similar to the human being (automatic continuous speech recognition). One of the great challenges of searches for continuous speech recognition is the large amount of pattern. The modern languages such as English, French, Spanish and Portuguese have approximately 500,000 words or patterns to be identified. The purpose of this study is to use smaller units than the word such as phonemes, syllables and difones units as the basis for the speech recognition, aiming to recognize any words without necessarily using them. The main goal is to reduce the restriction imposed by the excessive amount of patterns. In order to validate this proposal, the system was tested in the isolated word recognition in dependent-case. The phonemes characteristics of the Brazil s Portuguese language were used to developed the hierarchy decision system. These decisions are made through the use of neural networks SVM (Support Vector Machines). The main speech features used were obtained from the Wavelet Packet Transform. The descriptors MFCC (Mel-Frequency Cepstral Coefficient) are also used in this work. It was concluded that the method proposed in this work, showed good results in the steps of recognition of vowels, consonants (syllables) and words when compared with other existing methods in literature

Um sistema de visão para navegação robusta de uma plataforma robótica semi-autônoma

Large efforts have been maden by the scientific community on tasks involving locomotion of mobile robots. To execute this kind of task, we must develop to the robot the ability of navigation through the environment in a safe way, that is, without collisions with the objects. In order to perform this, it is necessary to implement strategies that makes possible to detect obstacles. In this work, we deal with this problem by proposing a system that is able to collect sensory information and to estimate the possibility for obstacles to occur in the mobile robot path. Stereo cameras positioned in parallel to each other in a structure coupled to the robot are employed as the main sensory device, making possible the generation of a disparity map. Code optimizations and a strategy for data reduction and abstraction are applied to the images, resulting in a substantial gain in the execution time. This makes possible to the high level decision processes to execute obstacle deviation in real time. This system can be employed in situations where the robot is remotely operated, as well as in situations where it depends only on itself to generate trajectories (the autonomous case)

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.

Sistema híbrido para detecção e diagnóstico de falhas em sistemas dinâmicos

The industries are getting more and more rigorous, when security is in question, no matter is to avoid financial damages due to accidents and low productivity, or when it s related to the environment protection. It was thinking about great world accidents around the world involving aircrafts and industrial process (nuclear, petrochemical and so on) that we decided to invest in systems that could detect fault and diagnosis (FDD) them. The FDD systems can avoid eventual fault helping man on the maintenance and exchange of defective equipments. Nowadays, the issues that involve detection, isolation, diagnose and the controlling of tolerance fault are gathering strength in the academic and industrial environment. It is based on this fact, in this work, we discuss the importance of techniques that can assist in the development of systems for Fault Detection and Diagnosis (FDD) and propose a hybrid method for FDD in dynamic systems. We present a brief history to contextualize the techniques used in working environments. The detection of fault in the proposed system is based on state observers in conjunction with other statistical techniques. The principal idea is to use the observer himself, in addition to serving as an analytical redundancy, in allowing the creation of a residue. This residue is used in FDD. A signature database assists in the identification of system faults, which based on the signatures derived from trend analysis of the residue signal and its difference, performs the classification of the faults based purely on a decision tree. This FDD system is tested and validated in two plants: a simulated plant with coupled tanks and didactic plant with industrial instrumentation. All collected results of those tests will be discussed

Sistema Especialista para Supressão Online de Alarmes em Processos Industriais

Operating industrial processes is becoming more complex each day, and one of the factors that contribute to this growth in complexity is the integration of new technologies and smart solutions employed in the industry, such as the decision support systems. In this regard, this dissertation aims to develop a decision support system based on an computational tool called expert system. The main goal is to turn operation more reliable and secure while maximizing the amount of relevant information to each situation by using an expert system based on rules designed for a particular area of expertise. For the modeling of such rules has been proposed a high-level environment, which allows the creation and manipulation of rules in an easier way through visual programming. Despite its wide range of possible applications, this dissertation focuses only in the context of real-time filtering of alarms during the operation, properly validated in a case study based on a real scenario occurred in an industrial plant of an oil and gas refinery

Modelo matemático para otimização dos custos de um sistema híbrido eólico-solar : aplicação no bombeamento de petróleo

This work purposes the application of a methodology to optimize the implantation cost of an wind-solar hybrid system for oil pumping. The developed model is estimated the implantation cost of system through Multiple Linear Regression technique, on the basis of the previous knowledge of variables: necessary capacity of storage, total daily energy demand, wind power, module power and module number. These variables are gotten by means of sizing. The considered model not only can be applied to the oil pumping, but also for any other purposes of electric energy generation for conversion of solar, wind or solar-wind energy, that demand short powers. Parametric statistical T-student tests had been used to detect the significant difference in the average of total cost to being considered the diameter of the wind, F by Snedecor in the variance analysis to test if the coefficients of the considered model are significantly different of zero and test not-parametric statistical by Friedman, toverify if there is difference in the system cost, by being considered the photovoltaic module powers. In decision of hypothesis tests was considered a 5%-significant level. The configurations module powers showed significant differences in total cost of investment by considering an electrical motor of 3 HP. The configurations module powers showed significant differences in total cost of investment by considering an electrical motor of 5 HP only to wind speed of 4m/s and 6 m/s in wind of 3 m, 4m and 5 m of diameter. There was not significant difference in costs to diameters of winds of 3 m and 4m. The mathematical model and the computational program may be used to others applications which require electrical between 2.250 W and 3.750 W. A computational program was developed to assist the study of several configurations that optimizes the implantation cost of an wind-solar system through considered mathematical model

Aplicação de ontologias para métodos de negociação de um sistema multiagente para o reconhecimento de padrões

The use of intelligent agents in multi-classifier systems appeared in order to making the centralized decision process of a multi-classifier system into a distributed, flexible and incremental one. Based on this, the NeurAge (Neural Agents) system (Abreu et al 2004) was proposed. This system has a superior performance to some combination-centered methods (Abreu, Canuto, and Santana 2005). The negotiation is important to the multiagent system performance, but most of negotiations are defined informaly. A way to formalize the negotiation process is using an ontology. In the context of classification tasks, the ontology provides an approach to formalize the concepts and rules that manage the relations between these concepts. This work aims at using ontologies to make a formal description of the negotiation methods of a multi-agent system for classification tasks, more specifically the NeurAge system. Through ontologies, we intend to make the NeurAge system more formal and open, allowing that new agents can be part of such system during the negotiation. In this sense, the NeurAge System will be studied on the basis of its functioning and reaching, mainly, the negotiation methods used by the same ones. After that, some negotiation ontologies found in literature will be studied, and then those that were chosen for this work will be adapted to the negotiation methods used in the NeurAge.

MoSAC: um módulo para seleção de configurações arquiteturais baseado em critérios de QoS no contexto de sistema distribuídos autoadaptativos

The process for choosing the best components to build systems has become increasingly complex. It becomes more critical if it was need to consider many combinations of components in the context of an architectural configuration. These circumstances occur, mainly, when we have to deal with systems involving critical requirements, such as the timing constraints in distributed multimedia systems, the network bandwidth in mobile applications or even the reliability in real-time systems. This work proposes a process of dynamic selection of architectural configurations based on non-functional requirements criteria of the system, which can be used during a dynamic adaptation. This proposal uses the MAUT theory (Multi-Attribute Utility Theory) for decision making from a finite set of possibilities, which involve multiple criteria to be analyzed. Additionally, it was proposed a metamodel which can be used to describe the application s requirements in terms of the non-functional requirements criteria and their expected values, to express them in order to make the selection of the desired configuration. As a proof of concept, it was implemented a module that performs the dynamic choice of configurations, the MoSAC. This module was implemented using a component-based development approach (CBD), performing a selection of architectural configurations based on the proposed selection process involving multiple criteria. This work also presents a case study where an application was developed in the context of Digital TV to evaluate the time spent on the module to return a valid configuration to be used in a middleware with autoadaptative features, the middleware AdaptTV

Sistema operacional e biblioteca de funções para plataformas MPSOC: um estudo de caso para simuladores de reservatórios

The increasingly request for processing power during last years has pushed integrated circuit industry to look for ways of providing even more processing power with less heat dissipation, power consumption, and chip area. This goal has been achieved increasing the circuit clock, but since there are physical limits of this approach a new solution emerged as the multiprocessor system on chip (MPSoC). This approach demands new tools and basic software infrastructure to take advantage of the inherent parallelism of these architectures. The oil exploration industry has one of its firsts activities the project decision on exploring oil fields, those decisions are aided by reservoir simulations demanding high processing power, the MPSoC may offer greater performance if its parallelism can be well used. This work presents a proposal of a micro-kernel operating system and auxiliary libraries aimed to the STORM MPSoC platform analyzing its influence on the problem of reservoir simulation

Analisando o desempenho do ClassAge: um sistema multiagentes para classificação de padrões

The use of multi-agent systems for classification tasks has been proposed in order to overcome some drawbacks of multi-classifier systems and, as a consequence, to improve performance of such systems. As a result, the NeurAge system was proposed. This system is composed by several neural agents which communicate and negotiate a common result for the testing patterns. In the NeurAge system, a negotiation method is very important to the overall performance of the system since the agents need to reach and agreement about a problem when there is a conflict among the agents. This thesis presents an extensive analysis of the NeurAge System where it is used all kind of classifiers. This systems is now named ClassAge System. It is aimed to analyze the reaction of this system to some modifications in its topology and configuration

A utilização da informação contábil na atividade pecuária do Estado do Rio Grande do Norte: um enfoque nos demonstrativos gerados para tomada de decisão

This work deals with the cattle raising activity in Brasil, it´s importance for the stete of Rio Grande do Norte. A conceptual review is done regarding accounting information and considering it as an essencial input for economical and finantial decision making, related to the state cattle rainsing environment. It also aims to expose visions related to the role and the importance of Accounting as system that colects, treats and supplies managerial information. A brief historic of Accounting is done, emphasizing the Accounting Demonstration Structure and its use in the decision making process, as well as the contribution it has node for the cattle raising activity in Brazil. The research´s results show that accounting information is used partially in the finantial decision making process, and it is pointed out that the Inventory was the most relevant tool with 95,% of the cases, followed by the Income and Outlay reports with 85.0%,Production with 82,0% and Cost reports with 80,0%, the Demonstrative of the Cash Flow (DFC) with 82.5%, the Patrimonial Balance (PB) with 22.5%, and the Demonstrative of the Exercise Result (DER) with 20.0% of use. The research concludes that Accounting information is not throughly used in the economic and finantial decision making of the managers of cattle raising in the Rio Grande do Norte State, although, 95% of the sample consider then important. This may imply that there are diffilculties in measurement of the managerial decisions as well as the business whole