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

Controle fuzzy espacialmente diferenciado para um sistema de irrigação

Traditional irrigation projects do not locally determine the water availability in the soil. Then, irregular irrigation cycles may occur: some with insufficient amount that leads to water deficit, other with excessive watering that causes lack of oxygen in plants. Due to the nonlinear nature of this problem and the multivariable context of irrigation processes, fuzzy logic is suggested to replace commercial ON-OFF irrigation system with predefined timing. Other limitation of commercial solutions is that irrigation processes either consider the different watering needs throughout plant growth cycles or the climate changes. In order to fulfill location based agricultural needs, it is indicated to monitor environmental data using wireless sensors connected to an intelligent control system. This is more evident in applications as precision agriculture. This work presents the theoretical and experimental development of a fuzzy system to implement a spatially differentiated control of an irrigation system, based on soil moisture measurement with wireless sensor nodes. The control system architecture is modular: a fuzzy supervisor determines the soil moisture set point of each sensor node area (according to the soil-plant set) and another fuzzy system, embedded in the sensor node, does the local control and actuates in the irrigation system. The fuzzy control system was simulated with SIMULINK® programming tool and was experimentally built embedded in mobile device SunSPOTTM operating in ZigBee. Controller models were designed and evaluated in different combinations of input variables and inference rules base

Algoritmos genéticos aplicados a um comitê de LS-SVM em problemas de classificação

The pattern classification is one of the machine learning subareas that has the most outstanding. Among the various approaches to solve pattern classification problems, the Support Vector Machines (SVM) receive great emphasis, due to its ease of use and good generalization performance. The Least Squares formulation of SVM (LS-SVM) finds the solution by solving a set of linear equations instead of quadratic programming implemented in SVM. The LS-SVMs provide some free parameters that have to be correctly chosen to achieve satisfactory results in a given task. Despite the LS-SVMs having high performance, lots of tools have been developed to improve them, mainly the development of new classifying methods and the employment of ensembles, in other words, a combination of several classifiers. In this work, our proposal is to use an ensemble and a Genetic Algorithm (GA), search algorithm based on the evolution of species, to enhance the LSSVM classification. In the construction of this ensemble, we use a random selection of attributes of the original problem, which it splits the original problem into smaller ones where each classifier will act. So, we apply a genetic algorithm to find effective values of the LS-SVM parameters and also to find a weight vector, measuring the importance of each machine in the final classification. Finally, the final classification is obtained by a linear combination of the decision values of the LS-SVMs with the weight vector. We used several classification problems, taken as benchmarks to evaluate the performance of the algorithm and compared the results with other classifiers

Acelerando algoritmos de baixo nível em visão robótica com hardware reconfigurável

A challenge that remains in the robotics field is how to make a robot to react in real time to visual stimulus. Traditional computer vision algorithms used to overcome this problem are still very expensive taking too long when using common computer processors. Very simple algorithms like image filtering or even mathematical morphology operations may take too long. Researchers have implemented image processing algorithms in high parallelism hardware devices in order to cut down the time spent in the algorithms processing, with good results. By using hardware implemented image processing techniques and a platform oriented system that uses the Nios II Processor we propose an approach that uses the hardware processing and event based programming to simplify the vision based systems while at the same time accelerating some parts of the used algorithms

Ambiente de desenvolvimentoweb multiplataforma configurável para robótica educacional

We propose an online configurable multiplatform development environment specifically developed for educational robotics applications. The environment, which appears as an extension of RoboEduc software, allows the programming of several programmable robots to be performed using the R-Educ language. We make it possible for the user to program in the language R-Educ and then translate the code to a language previously registered, compiled and then sent or executed by the robot. To develop this work, we conducted a bibliographic research about the main programming languages used in robotics, as well as their definitions and paradigms, from which it was possible to define a set of patterns considered important for the creation of this environment. Then, in the software development phase, we implemented the development environment, bearing in mind the requirements and functionality defined in the design phase. Finally, to validate the platform, we conducted some trials of programming languages and verificate if the complete cycle was satisfied - registration of language, programming in R-Educ, compilation for the registered language, compilation to the machine code and send the code for the robot

Implementação paralela escalável e eficiente do algoritmo simplex padrão em arquitetura multicore

This work presents a scalable and efficient parallel implementation of the Standard Simplex algorithm in the multicore architecture to solve large scale linear programming problems. We present a general scheme explaining how each step of the standard Simplex algorithm was parallelized, indicating some important points of the parallel implementation. Performance analysis were conducted by comparing the sequential time using the Simplex tableau and the Simplex of the CPLEXR IBM. The experiments were executed on a shared memory machine with 24 cores. The scalability analysis was performed with problems of different dimensions, finding evidence that our parallel standard Simplex algorithm has a better parallel efficiency for problems with more variables than constraints. In comparison with CPLEXR , the proposed parallel algorithm achieved a efficiency of up to 16 times better

Desenvolvimento de um middleware para comunicação via web services e sua aplicação em sistemas de aquisição de dados industriais

The control of industrial processes has become increasingly complex due to variety of factory devices, quality requirement and market competition. Such complexity requires a large amount of data to be treated by the three levels of process control: field devices, control systems and management softwares. To use data effectively in each one of these levels is extremely important to industry. Many of today s industrial computer systems consist of distributed software systems written in a wide variety of programming languages and developed for specific platforms, so, even more companies apply a significant investment to maintain or even re-write their systems for different platforms. Furthermore, it is rare that a software system works in complete isolation. In industrial automation is common that, software had to interact with other systems on different machines and even written in different languages. Thus, interoperability is not just a long-term challenge, but also a current context requirement of industrial software production. This work aims to propose a middleware solution for communication over web service and presents an user case applying the solution developed to an integrated system for industrial data capture , allowing such data to be available simplified and platformindependent across the network

Desenvolvimento de um Sistema de Visão Global para uma Frota de Mini-Robôs Móveis

Navigation based on visual feedback for robots, working in a closed environment, can be obtained settling a camera in each robot (local vision system). However, this solution requests a camera and capacity of local processing for each robot. When possible, a global vision system is a cheapest solution for this problem. In this case, one or a little amount of cameras, covering all the workspace, can be shared by the entire team of robots, saving the cost of a great amount of cameras and the associated processing hardware needed in a local vision system. This work presents the implementation and experimental results of a global vision system for mobile mini-robots, using robot soccer as test platform. The proposed vision system consists of a camera, a frame grabber and a computer (PC) for image processing. The PC is responsible for the team motion control, based on the visual feedback, sending commands to the robots through a radio link. In order for the system to be able to unequivocally recognize each robot, each one has a label on its top, consisting of two colored circles. Image processing algorithms were developed for the eficient computation, in real time, of all objects position (robot and ball) and orientation (robot). A great problem found was to label the color, in real time, of each colored point of the image, in time-varying illumination conditions. To overcome this problem, an automatic camera calibration, based on clustering K-means algorithm, was implemented. This method guarantees that similar pixels will be clustered around a unique color class. The obtained experimental results shown that the position and orientation of each robot can be obtained with a precision of few millimeters. The updating of the position and orientation was attained in real time, analyzing 30 frames per second

Desenvolvimento de um núcleo versátil e integrado de ferramentas CAD/CAE para a modelagem e simulação de peças mecânicas

Currently there is still a high demand for quality control in manufacturing processes of mechanical parts. This keeps alive the need for the inspection activity of final products ranging from dimensional analysis to chemical composition of products. Usually this task may be done through various nondestructive and destructive methods that ensure the integrity of the parts. The result generated by these modern inspection tools ends up not being able to geometrically define the real damage and, therefore, cannot be properly displayed on a computing environment screen. Virtual 3D visualization may help identify damage that would hardly be detected by any other methods. One may find some commercial softwares that seek to address the stages of a design and simulation of mechanical parts in order to predict possible damages trying to diminish potential undesirable events. However, the challenge of developing softwares capable of integrating the various design activities, product inspection, results of non-destructive testing as well as the simulation of damage still needs the attention of researchers. This was the motivation to conduct a methodological study for implementation of a versatile CAD/CAE computer kernel capable of helping programmers in developing softwares applied to the activities of design and simulation of mechanics parts under stress. In this research it is presented interesting results obtained from the use of the developed kernel showing that it was successfully applied to case studies of design including parts presenting specific geometries, namely: mechanical prostheses, heat exchangers and piping of oil and gas. Finally, the conclusions regarding the experience of merging CAD and CAE theories to develop the kernel, so as to result in a tool adaptable to various applications of the metalworking industry are presented

Linguagem matemática: uma proposta de ensino e avaliação da compreensão leitora dos objetos da matemática

This paper discusses aspects related to the mathematical language and its understanding, in particular, by students of final years of elementary school. Accordingly, we aimed to develop a proposal for teaching, substantiated by mathematical modeling activities and reading, which takes advantage of the student of elementary school a better understanding of mathematical language for the content of proportion. We also aim to build / propose parameters for the assessment of reading proficiency of the language of the student in analyzing and modeling process, its ability to develop/improve/enhance this proficiency. For this purpose, we develop a qualitative research, with procedures for an action research whose analysis of the data is configured as Content Analysis. We refer to epistemological and didactic, in the studies: Piaget (1975, 1990), Vygotsky (1991, 2001), Bakhtin (2006), Freire (1974, 1994), Bicudo and Garnica (2006), Smole and Diniz (2001), Barbosa (2001), Burak (1992), Biembengut (2004), Bassanezi (2002), Carrasco (2006), Becker (2010), Zuin and Reyes (2010), among others. We understand that to acquire new knowledge one must learn to read and reading to learn it, this process is essential for the development of reading proficiency of a person. Modeling, in turn, is a process which enables contact with different forms of reading providing elements favorable to the development here mentioned. The evaluation parameters we use to analyze the level of reading proficiency of mathematical language proved to be effective and therefore a valuable tool that allows the teacher an efficient evaluation and whose results can guide you better in the planning and execution of their practice

A doença de criar passarinhos: a lírica humanizadora de João Cabral de Melo Neto

João Cabral de Melo Neto n a jamais aimé les vers sentimentaux et prolixes venus de la tradition romantique. C est pour ça que son uvre a un discours objectif, rigoureusement elaboré e elle comporte certaines influences concretistes ça explique pourquoi l auteur est connu comme l ingénieur de la langage. En verité, le poète même dissait qu il était un homme froid et rationnel. La critique a assidument analysé la matière logique et le rigeuer formel de l uvre de Cabral de Melo. Pourtant, dans ce travail nous analysons les poèmes dont le sentiments humaines sont la mtière principal de l élaboration de l experiènce esthétique. La poèsie de João Cabral n est pas simple verbalisme formel, ni un uvre sens vie, car les objects concrètes et la langage objectif n empêchent pas qui le sujet décrit avec émotion les scènes presents dans les poèmes. Nous travaillons avec la hypothèse de que le poète a une attitude trop humaine quand il parle de l experience culturel et de l experience de la vie dans le Nord-est brésilien. Les unités témathiques de ce travail, pourtant, montrent la représentation du Nord-est dans la poèsie de João Cabral et examinent aussi le sentiment qu il sent par la memoire culturel de sa région. Parmi les aspects qui composent sa lyrique humaine nous citons la personification constant de les paysages du Nord-est le poète ne veux pas faire une décrition tophographique de la région parce que les places ont un valeuer sentimentel pour lui; au moyen d un discours erotique, Cabral represente les desirs et les intints humaines de sa terre; ensuite, il semble que le poète est enchanté et enveloppé avec certains elemets culturels de sa région, come l hamac, la littérature oral et la musique régional; la preoccupation avec la population explorée et la denonciation de la condition miserable dans le Nord-est brésilien confirment aussi la humanité présent dans son uvre; finalment, la récordation de l enfance et la nostalgie du temps passé sont, pour le poète, un possibilité qui peut aider dans la formation humaine de la population

Extração semiautomática de contornos de telhado de edifícios com base em snakes e programação dinâmica

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

Extração semi-automática de rodovia baseada em um par estéreo de imagens aéreas e em otimização por programação dinâmica no espaço-objeto

This article proposes a method for 3D road extraction from a stereopair of aerial images. The dynamic programming (DP) algorithm is used to carry out the optimization process in the object-space, instead of usually doing it in the image-space such as the DP traditional methodologies. This means that road centerlines are directly traced in the object-space, implying that a mathematical relationship is necessary to connect road points in object and image-space. This allows the integration of radiometric information from images into the associate mathematical road model. As the approach depends on an initial approximation of each road, it is necessary a few seed points to coarsely describe the road. Usually, the proposed method allows good results to be obtained, but large anomalies along the road can disturb its performance. Therefore, the method can be used for practical application, although it is expected some kind of local manual edition of the extracted road centerline.

A relação gramatical objeto direto : implicações para o ensino de língua materna

This paper attempts to investigate the discourse manifestations of the grammatical relation direct object with respect to the syntactic, semantic and pragmatic properties that underlie this element. The research adopts theoretical orientation of the functionalism from North American and Brazilian schools inspired in Givón (1995, 2001), Hopper and Thompson (1980), Chafe (1979), Furtado da Cunha, Oliveira, Martelotta (2003) inter alia. From functionalism, the research uses principles of iconicity, markedness and informativity and it analize categories of transitivity, grounding and animacy. This research is anchored in prototype model (TAYLOR 1995); construction grammar model (GOLDBERG 1996, 2002). Both theoretical orientations share the view that language is a malleable living organism subject to socio-cultural context. Grammar is then the result of created, maintained, and systematized linguistic patterns developed from and used for language use. According to a functional linguistics and cognitivist linguistics verbs are stored in the speakers lexicon in syntactic-semantic frames which are more frequent. These frames carry information concerning obligatory and optional arguments and the semantic roles these arguments take in the clause. The analysis focuses on the semantic type of the verbs and its relationship with the argument encoded as a direct object observing the aspectual nature of verbs. Direct objects are classified according to their morphology (lexical or pronominal noun phrase), semantic role, informational content and animacy. This study discusses pedagogical implications with relation to how the grammatical concepts touched on this paper are treated in school textbooks. The empirical data come from Corpus Discurso & Gramática: a língua falada e escrita na cidade do Natal (FURTADO DA CUNHA, 1998). This corpus is composed of texts that contain spoken and written modalities. These modalities are in turn organized according to different types: personal narratives, retold narrative, description of preferred place, procedural place, procedural description and report on argumentation. The sample data totals 40 texts produced by four language consultants of the last graduation date. The paper shows that the same syntactic structures (formed through Subject-Verb-Object) correspond to different semantic-pragmatic structures in relation to specific communicative purposes even verb is an event, process or state. The argument structure are not aleatory but are related to experience; that is the way humans conceptualize the world and talk about it

Desempenho e efeitos agudos da espirometria de incentivo volume-orientada sobre os volumes pulmonares em pacientes após AVC e sujeitos saudáveis

O Acidente Vascular Cerebral (AVC) é uma síndrome clínica caracterizada por uma perturbação focal da função cerebral. Geralmente ocasiona quadro de disfunção motora acompanhada de prejuízo da função respiratória. Tendo em vista tal quadro e suas possíveis repercussões, a fisioterapia respiratória tem sido amplamente requisitada com o intuito reverter ou minimizar as complicações. Dentre os recursos utilizados para este fim, os espirômetros de incentivo são utilizados com o objetivo de restaurar os volumes pulmonares, modificando o padrão respiratório e de ventilação pulmonar, prevenindo a incidência das complicações pulmonares. O objetivo do presente estudo foi comparar o desempenho na realização da espirometria de incentivo volume-orientada (EI) e seus efeitos agudos sobre os volumes pulmonares em pacientes após AVC e sujeitos saudáveis. Foram selecionados 40 voluntários, de ambos os gêneros, divididos em grupo experimental (GE), composto por 20 pacientes após AVC e grupo controle (GC) composto por 20 sujeitos saudáveis, pareados quanto à idade, gênero e Índice de Massa Corpórea (IMC). A coleta dos dados foi realizada em duas etapas: (1) Avaliação cognitiva e neurofuncional (Mini Exame do Estado Mental, National Institute Stroke Scale, Medida de Independência Funcional, teste de desempenho da aprendizagem) (2) Avaliação Respiratória (espirometria, manovacuometria e cinemática tóraco-abdominal, através da Pletismografia Opto-eletrônica). A análise estatística foi realizada através do software Graphpad Prism 4.0, em que foram utilizados os testes t Student e ANOVA two-way para comparação intergrupos e adotado nível de significância de 5%. Os resultados mostraram que os pacientes apresentam desempenho inferior na aprendizagem da espirometria de incentivo, com uma média de erros maior 2,95 ± 1,39, quando comparados aos sujeitos saudáveis, 1,15 ± 0,98. Em relação à prática observacional utilizada não foi encontrada diferença entre a aprendizagem através do vídeo ou do terapeuta. Em relação aos efeitos agudos da espirometria de incentivo volume-orientada, os pacientes após AVC apresentaram valores de volume corrente 24,7%, 18% e 14,7% inferiores quando comparados aos sujeitos saudáveis nos momentos pré-EI, EI e pós-EI, porém a espirometria de incentivo induziu incrementos de volume similares em ambos os grupos estudados, com 75, 3% para os pacientes e 73,3% para os sujeitos saudáveis. A espirometria de incentivo promove ganhos significativos no volume corrente da parede torácica, tanto em pacientes acometidos por AVC como em sujeitos saudáveis, no entanto o desempenho da aprendizagem é inferior para os pacientes, para ambas as práticas com vídeo ou terapeuta