Desenvolvimento de uma ferramenta computacional para aplicação em métodos de elevação por bombeio centrífugo submerso

The Electrical Submersible Pump (ESP) has been one of the most appropriate solutions for lifting method in onshore and offshore applications. The typical features for this application are adverse temperature, viscosity fluids and gas environments. The difficulties in equipments maintenance and setup contributing to increasing costs of oil production in deep water, therefore, the optimization through automation can be a excellent approach for decrease costs and failures in subsurface equipment. This work describe a computer simulation related with the artificial lifting method ESP. This tool support the dynamic behavior of ESP approach, considering the source and electric energy transmission model for the motor, the electric motor model (including the thermal calculation), flow tubbing simulation, centrifugal pump behavior simulation with liquid nature effects and reservoir requirements. In addition, there are tri-dimensional animation for each ESP subsytem (transformer, motor, pump, seal, gas separator, command unit). This computer simulation propose a improvement for monitoring oil wells for maximization of well production. Currenty, the proprietaries simulators are based on specific equipments manufactures. Therefore, it is not possible simulation equipments of another manufactures. In the propose approach there are support for diverse kinds of manufactures equipments

Proposta de uma máquina para colheita mecanizada de babaçu (Orbignya phalerata Mart.) para a agricultura familiar

O babaçu é uma planta de importância capital na economia de subsistência do norte do Brasil. Sua configuração sócio-ambiental o torna destaque na situação regional amazônica, onde os produtos advindos do babaçu possibilitam renda para a camada mais pobre da população amazônica, além da questão ambiental que é conotada à preservação dos babaçuais naturais. Um dos gargalos técnicos da produção do babaçu, em especial visando a extração do óleo de babaçu, é a colheita feita de forma manual e no sistema extrativista. O objetivo deste trabalho é propor o conceito de uma colhedora de babaçu moto-mecanizada, capaz de trabalhar em cultivos artificiais, assim como em florestas naturais. Foi utilizada a metodologia de projeto da matriz morfológica, onde foram elencadas as possíveis combinações de mecanismos e elementos para uma colhedora de babaçu. Como resultado foi obtido um conceito teórico, sendo concluída a viabilidade técnica de tal projeto, em estudos futuros pretende-se desenvolver estudos de viabilidade técnica detalhados, assim como estudos de viabilidade econômica.

Predição de promotores de Bacillus subtilis usando técnicas de aprendizado de máquina

One of the most important goals of bioinformatics is the ability to identify genes in uncharacterized DNA sequences on world wide database. Gene expression on prokaryotes initiates when the RNA-polymerase enzyme interacts with DNA regions called promoters. In these regions are located the main regulatory elements of the transcription process. Despite the improvement of in vitro techniques for molecular biology analysis, characterizing and identifying a great number of promoters on a genome is a complex task. Nevertheless, the main drawback is the absence of a large set of promoters to identify conserved patterns among the species. Hence, a in silico method to predict them on any species is a challenge. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. In this work, we present an empirical comparison of Machine Learning (ML) techniques such as Na¨ýve Bayes, Decision Trees, Support Vector Machines and Neural Networks, Voted Perceptron, PART, k-NN and and ensemble approaches (Bagging and Boosting) to the task of predicting Bacillus subtilis. In order to do so, we first built two data set of promoter and nonpromoter sequences for B. subtilis and a hybrid one. In order to evaluate of ML methods a cross-validation procedure is applied. Good results were obtained with methods of ML like SVM and Naïve Bayes using B. subtilis. However, we have not reached good results on hybrid database

Uma ferramenta para Análise Multiresolução de dados não regularmente amostrados

Digital signal processing (DSP) aims to extract specific information from digital signals. Digital signals are, by definition, physical quantities represented by a sequence of discrete values and from these sequences it is possible to extract and analyze the desired information. The unevenly sampled data can not be properly analyzed using standard techniques of digital signal processing. This work aimed to adapt a technique of DSP, the multiresolution analysis, to analyze unevenly smapled data, to aid the studies in the CoRoT laboratory at UFRN. The process is based on re-indexing the wavelet transform to handle unevenly sampled data properly. The was efective presenting satisfactory results

Aplicação de técnicas de aprendizado de máquina no reconhecimento de classes estruturais de proteínas

Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated

Estudo avaliativo de um algoritmo genético auto-organizável e multiobjetivo utilizando aprendizado de máquina para aplicações de telecomunicações

This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

Controlador adaptativo por posicionamento de pólos e estrutura variável aplicado ao controle de geradores eólicos baseados em máquina de indução duplamente alimentada

In the last decade, the renewable energy sources have present a major propulsion in the world due to several factors: political, environmental, financial and others. Within this context, we have in particular the energy obtained through wind, wind energy - that has highlighted with rapid growth in recent years, including in Brazil, mostly in the Northeast, due to it s benefit-cost between the clean energies. In this context, we propose to compare the variable structure adaptive pole placement control (VS-APPC) with a traditional control technique proportional integral controller (PI), applied to set the control of machine side in a conversion system using a wind generator based on Double-Fed Induction Generator (DFIG). Robustness and performance tests were carried out to the uncertainties of the internal parameters of the machine and variations of speed reference.

Metodologia, Sistema de Codificação e Ferramenta de software para Modelagem de Móveis Modulados

On this research we investigated how new technologies can help the process of design and manufacturing of furniture in such small manufacturers in Rio Grande do Norte state. Google SketchUp, a 3D software tool, was developed in such a way that its internal structures are opened and can be accessed using SketchUp s API for Ruby and programs written in Ruby language (plugins). Using the concepts of the so-called Group Technology and the flexibility that enables adding new functionalities to this software, it was created a Methodology for Modeling of Furniture, a Coding System and a plugin for Google s tool in order to implement the Methodology developed. As resulted, the following facilities are available: the user may create and reuse the library s models over-and-over; reports of the materials manufacturing process costs are provided and, finally, detailed drawings, getting a better integration between the furniture design and manufacturing process

Amostragem de terra para fins de fertilidade em função da ferramenta de amostragem

Embora existam indicações de que a pá de corte proporcione melhor qualidade de amostragem de terra para fins de análise de fertilidade, seu manuseio demanda muito tempo. No presente trabalho foram comparados os resultados da análise química de terra proveniente de 15 áreas distintas, cujas amostras foram obtidas com cinco tipos de trado e com pá de corte. Também foram comparados o tempo demandado para a realização do trabalho e o volume de terra coletado com as diferentes ferramentas, em dois solos de texturas distintas. O tempo médio de amostragem foi estimado, avaliando-se o tempo gasto por seis pessoas para tomar dez amostras. Para o estudo de qualidade de resultados foram amostradas 15 áreas, com solos, manejos e níveis de fertilidade distintos, de modo a se obter grande variação entre os valores das características avaliadas. As amostragens constaram da estratificação por profundidades e amostras de 0 a 20 cm de profundidade no teste de tempo. A amostragem com a pá de corte demora de 1,3 a 2,3 vezes mais do que com os trados. Para os valores de pH, matéria orgânica, acidez do solo, Al trocável e P disponível, os resultados foram equivalentes para todas as ferramentas empregadas. Entretanto, para as bases do solo (Ca, Mg e K), as ferramentas empregadas resultaram, na maioria das vezes, em resultados diferentes dos obtidos pela pá de corte.

A ferramenta VoiceThread em uma abordagem hibrida: o desenvolvimento da produção oral e da habilidade de noticing na aprendizagem de inglês como L2

VoiceThread (VT) is a collaborative and asynchronous web 2.0 tool, which permits the creation of oral presentations with the help of images, documents, texts and voice, allowing groups of people to browse and contribute with comments using several options: voice (microphone or cell phone), text and audio-file or video (webcam) (BOTTENTUIT JUNIOR, LISBÔA E COUTINHO, 2009). The hybrid experience with VoiceThread allows learners to plan their speech before recording it, without the pressure often existent in the classroom. Furthermore, the presentations can be recorded several times, enabling students to listen to them, notice the gaps in their oral production (noticing) and edit innumerous times before publishing them online. In this perspective, oral production is seen as a process of L2 acquisition, not only as practice of already existent knowledge, because it can stimulate the learner to process the language syntactically (SWAIN, 1985; 1995). In this context, this study aims to verify if there is a relation between the oral production of the learners more specifically the grammatical accuracy and the global oral grade and their noticing capacity, how the systematic practice with VoiceThread, in a hybrid approach, can impact the learners global oral development, their oral production in terms of fluency (number of words per minute), accuracy (number of errors in hundred words), and complexity (number of dependent clauses per minute), and on their noticing capacity (SCHMIDT, 1990; 1995; 2001), that is, the learner s capacity of noticing the gaps existent in their oral production. In order to answer these research questions, 49 L2 learners of English were divided into an experimental group (25 students) and a control group (24 students). The experimental group was exposed to the hybrid approach with VT during two months and, through a pre- and post-test, we verified if this systematic practice would positively influence these participants oral production and noticing capacity. These results were compared to the pre- and post-test scores from the control group, which was not exposed to VT. Finally, learners impressions in relation to the use of this tool were also sought through a questionnaire applied after the post-test. The results indicate that there is a statistically significant correlation between the learners speech production (accuracy and global oral grade) and their noticing capacity. Besides, it was verified a positive impact of VoiceThread on the learners speech production variables and on their noticing capacity. They also reveal a positive reaction by the learners in relation to the hybrid experience with this web tool

Análise de grafos aplicada a relatos de sonhos: ferramenta diagnóstica objetiva e diferencial para psicose esquizofrênica e bipolar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

O jogo de RPG como ferramenta auxiliar de aprendizagem na disciplina de Ciências

ON reflecting the traditional teaching approach, characterized by non-dynamic and descriptive methods that still persists in schools at the present time, associated to social living enrichment has motivated the search for new techniques to stimulate students in the process of teaching, such as roleplaying games, known as RPG, already being used in various school disciplines. Considering the amount of themes in general sciences and in biology, in particular that could be explored through RPG our purpose was to develop a game to be used as a learning complementary tool. PANGÉIA, the game we developed, was based on the GURPS system and to be placed at the geological Eras of the earth. The objective of the game was playing a character that represented an animal belonging to a Class of Vertebrates, and making it surviving and reproducing during risky situations presented in the game. These situations were narratives by the Master about challenges that the character would face, which should be solved using the dices. Along the narrative, the Master introduced concepts and informations about the subject being studied. To evaluating how the game worked out, we solicited 11 volunteers, from two different schools in Natal, to play PANGÉIA. Before starting the game, and without knowing the final objectives of our project, the volunteers answered a general questionnaire to let us know their level of knowledge, which was also answered after playing the game. The comparison of the volunteers answers before and after playing the game suggests that this activity influenced them. Also, based on this test, we identified critical aspects to be modified in PANGÉIA, specially a stronger relation between both the questionnaire and the game placement with the narrative of the master. In order to have PANGÉIA used as a complementary learning tool, a teachers handbook has to be written, including rules concerning the format of game application. Nonetheless, based on this pilot study, we conclude that topics on sciences and biology can be easily adjusted to RPG format, and its flexibility provides multiple combinations that can be used to help learning the more difficult topics to be taught in a class

BRIDGE: uma ferramenta para o Design de Interfaces de Usuário baseada em especificações IMML

With hardware and software technologies advance, it s also happenning modifications in the development models of computational systems. New methodologies for user interface specification are being created with user interface description languages (UIDL). The UIDLs are a way to have a precise description in a language with more abstraction and independent of how will be implemented. A great problem is that even using these nowadays methodologies, we still have a big distance between the UIDLs and its design, what means, the distance between abstract and concrete. The tool BRIDGE (Interface Design Generator Environment) was created with the intention of being a linking bridge between a specification language (the Interactive Message Modeling Language IMML) and its implementation in Java, linking the abstract (specification) to the concrete (implementation). IMML is a language based on models, that allows the designer works in distinct abstraction levels, being each model a distinct abstraction level. IMML is a XML language, that uses the Semiotic Engineering concepts, that deals the computational system, with the user interface and its elements like a metacommunicative artifact, where these elements must to transmit a message to the user about what task must to be realized and the way to reach this goal. With BRIDGE, we intend to supply a lot of support to the design task, being the user interface prototipation the greater of them. BRIDGE allows the design becomes easier and more intuitive coming from an interface specification language

Mobile interact: uma ferramenta de auxílio didático proporcionando interação entre professores e alunos através de celulares

Education is one of the oldest activities practiced by man, but today it is still performed often without creating dialogues and discussions among all those involved, and students are passives agents without interactivity with teachers and the content approached. This work presents a tool used for providing interactivity in educational environments using cell phones, in this way, teachers can use technology to assist in process of education and have a better evaluation of students. The tool developed architecture is shown, exposing features of wireless communication technologies used and how is the connection management using Bluetooth technology, which has a limited number of simultaneous connections. The details of multiple Bluetooth connections and how the system should behave by numerous users are displayed, showing a comparison between different methods of managing connections. Finally, the results obtained with the use of the tool are presented, followed by the analysis of them and a conclusion on the work