999 resultados para Operadores integrais
Resumo:
Les sociétés actuelles vivent des temps de vitesse, de l'individualisme, de l'absence d'enracinement historique: en harmonie avec le processus de formation de la civilisation du monde occidental contemporain profondément marqué par le paradigme de la globalisation. La pollution visuelle et sonore des grandes villes est, en même temps, l'expression de la pollution des sens et des affections humaines. En reflétant sur ce processus, la thèse discuter em faveur d'une formation réglée dans la logique du sensible qu'il a dans l'écouter près de la nature (Lévi-Strauss) un de leurs piliers épistémologiques ondamentales. Cette forme de penser et vivre reconnaît dans l'autoformation (Edgar Morin), et dans l'exercice de construction, par le sujet, de leurs propres paysages sonores (Murray Schafer), deux opérateurs cognitifs capables de nourrir les principes de la diversité, complexité, interdépendance et respect à la nature (Fritjof Capra). Dans le parcours argumentatif de la thèse gagnent emphase les savoirs de la tradition, les pratiques et les connaissances produites par les sociétés le plus proche de la nature qui, par des stratégies cognitives ouvertes et des polyphoniques, donnent importance aux facultés sensibles et à la complémentarité des deux itinéraires de la pensée: symbolique/mythologique/magique et empirique/technique/rationnel (Edgar Morin). Proche d'une perspective autobiographique, la thèse se présente dans la forme narrative d'un registre avec des évocations poétiques, philosophiques et musicales germées de l'écouter d'un paysage particulier, la Lagon du Piató, localisé dans la région de l'Assu (Rio Grande do Norte) et, en particulier, des récits et des évocations de mémoire d'un de leurs habitants auxlesquels nous pourrions appeler d'un philosophe de la nature , Francisco Lucas da Silva (Chico Lucas). Ensuite, ils sont décrits non-place (Marc-Augé) des scénarios métropolitains, en discutant ainsi les excès de pollution sonore, visuelle et de l'afection. En ayant comme estimé une éducation complexe ancrée dans non séparation il entre réforme de l'éducation et reforme de la pensée, de la formation et autoformation (Edgar Morin), à la fin, la thèse propose des ateliers d'expérimentation de l'écouter sensible entre des jeunes et des enfants sur le contexte scolaire, en pariant dans les futures générations (Ilya Prigogine) pour la reconstruction d'un monde plus juste et solidaire
Resumo:
Demand for access to higher education to put in test the education Brazilian system in view of the surplus of selective processes of public universities, people without option to pay their studies at this education level. In this context, it has arisen the University for All(Universidade para Todos)Program, the ProUni, from Ministry of Education - MEC, created by the Federal Government in 2004, and that it aims the granting of full and partial scholarships in private higher education institutions, graduate courses in sequential specific training, low-income Brazilians students who do not have higher-level degree. Created by the Provisional Measure No 213/2004 and institutionalized by Law No. 11096 of January 13, 2005, the ProUni offers, however, the exemption of some taxes to those institutions that join the program. This is one of the privileged time for the study of Social Representations by offering the researcher, a living laboratory, natural environment, the confrontation between the established and new. In time like this people are challenged to incorporate the new system to the pre-existing one, aiming it through a strangeness of what was so familiar. It is through this game of social forces that we developed the present study with 196 entering higher education, of these are 116 of selective vestibular system and 80 of the ProUni selective system. We opt by the procedures for data collection in order to have access to the circulating senses, in addition to the streamlined responses. With foundation in Abric, we perform the test the Free Association of Words, then analysed by the software and by EVOC Content of the type theme as Bardin. Besides, we require of the subjects, a writing on the study object university later analysed by the software ALCESTE. The results point out to a representation strongly rooted in social factors such as more traditional socio-cultural elements: the beliefs, values, the symbols. It is unique in both groups of subjects: among those entering by the selective ProUni system, there was a stronger anchor in that it does not make inquiries about the program. At the same time, there is a stronger presence of objectivation, entering the selective vestibular system in order that they explained with a value judgement on the programme. It is suggested further studies considering the embryonic state of social representation, as recent as the social purpose that triggered. It would be relevant even the replication of the same research with other people in order to strengthen the power of the theorising of empiria available
Resumo:
Esta disertación explora de qué forma las hibridaciones entre ser humano y ambientes naturales no urbanos contribuyen a configurar las estrategias de atención, de construcción de conocimiento y de interacción con el mundo del sujeto y cómo, recursivamente, las actitudes perceptivo-cognitivas y las maneras de acercarse a lo real, de imputar sentido a los fenómenos y de interactuar con el ambiente practicadas por el sujeto condicionan y contribuyen a definir las hibridaciones entre humanos y no humanos. Lo que guía esa exploración es el concepto de híbrido que, inspirándome en Bruno Latour (2008), concibo como una asociación entre elementos sin características inherentes, compenetrados, que se redefinen, recrean e reconfiguran recíprocamente. Utilizo como operadores cognitivos una narrativa literaria y una cinematográfica: el libro autobiográfico Dersu Uzala del escritor y explorador ruso Vladimir Klavdievich Arseniev (1872-1930), publicado por primera vez en 1923, y la película homónima del director japonés Akira Kurosawa (1910-1998), lanzada en 1975. Estas obras reconstruyen tres expediciones realizadas por Arseniev a principios del siglo XX en la región siberiana del Ussuri que tuvieron como guía al cazador nómada de etnia gold Dersu Uzala, con quien el escritor construyó una profunda amistad. La elección de hacer dialogar en el mismo plan a dos modos complementares de conocimiento, arte y ciencia, se fundamenta en la concepción de Edgar Morin (2003b) de la literatura y el cine como escuelas de vida y de complejidad humana y en la visión de Claude Lévi- Strauss (2007) del arte como modelo reducido que favorece una mirada más abarcadora sobre los fenómenos. Inicialmente, pongo en relación mi investigación con los trabajos de Silmara Lídia Marton (2008) y Samir Cristino de Souza (2009), que analizaron las estrategias de construcción de conocimiento y de interacción con el mundo de un habitante de la Laguna de Piató (Municipio de Assú, Estado de Rio Grande do Norte, Brasil), Francisco Lucas da Silva, y muestro algunas analogías entre estas y las de Dersu Uzala, ambas productos de determinadas hibridaciones con el ambiente. A continuación, exploro las implicaciones cognitivas de la amistad de Arseniev con el cazador gold, metáfora/encarnación del diálogo posible entre saberes de matrices diferentes. En un tercer momento, dialogando con pensadores que se interrogaron sobre el trinomio hombre-naturaleza-representaciones y con las narrativas de Arseniev (1997) y Kurosawa (1975), reflexiono sobre las ideas de híbrido, de humano y no humano, de vivo y no vivo, de proximidad y distancia del sujeto con respecto a otros sistemas de lectura del mundo, de relación directa y mediada con lo real, de ambientes naturales urbanos y no urbanos. A seguir, incursiono en el libro de Arseniev y en el largometraje de Kurosawa intentando identificar qué factores más contribuyeron para configurar las estrategias de conocimiento y de interacción con el ambiente manifestadas por el explorador y por el cazador gold y, recursivamente, de qué forma esas estrategias contribuyeron a definir sus hibridaciones con el ambiente siberiano. Por último, a partir de las reflexiones tejidas a lo largo del trabajo, me interrogo sobre lo que ellas pueden decirnos sobre nuestra forma de interactuar con la naturaleza no humana y sobre el diálogo entre distintas formas de percibir, conocer y relacionarse con el mundo
Resumo:
This thesis objective systemize and discuss the ecological knowledge constructed by means of tradition knowledge with basis in a complex ecology (MORIN, 2002b). The conception of tradition knowledge (ALMEIDA, 2001c) corresponds to a diversity of knowledgement, of men and women, constructed from heteroclite elements of the geographic way, making use of analogies and homologies which serves as the base for this scientific inquiry. These knowledge are extremely related the context where these people are inserted. To construct an ecology of complex base is to understand that the reality is not given previously, and that its construction assumes indissociability among the elements that composes it, that is, between nature and society, material and immaterial elements. To incorporate the disorder, the uncertainty, the unpredictable and the auto-echo-organization as guide principles of a new ecology, constitutes in a new vision of the biological science and the scientific ecology in direction to a science of complexity. The work focuses the ecological knowledge of the Piató lagoon, municipality of Açu, in the State of Rio Grande do Norte, having as interlocutor of this boarding Mr. Francisco Lucas da Silva (known in the local as Chico Lucas), fisherman and agriculturist, who was born, and lives until today, in the community of Areia Branca, around the lagoon. Having for base the method as strategy (MORIN, 2001a), the research construction was performed through the realization of more than 10 trips carried out between the years of 2005 and 2007. In these trips the ecological aspects of the environments such as, the flora and the fauna, as well as the environmental impacts on the lagoon, were obtained in recorded dialogues and interviews with Chico Lucas, which were later transcripts. The information from there showed a natural and social complex reality, little known by Cartesian science, since it brings a wealth of details of daily life full, over all, for tradition knowing of the people that had lived there and the ones who remain living there. The thesis looks to understand the strategies of thought and the knowledge production referring to traditional knowing and its ability of interchange between different cognitive operators. The ecological knowledge that emerges of these knows reveals a systemic perception of the environment, presenting the beings and phenomena in its peculiarities and its degrees of complexity, but immutable in its indissociability
Resumo:
Although the records indicate the involvement of the City Christmas in the feeding system HiperDia, a survey conducted by the Health Ministry in 2004 found that the number of entries made in Natal was well below estimate. In order to understand the functioning of HiperDia, we performed this study to analyze the actions taken by the professionals involved in power system HiperDia in Natal / RN. The research has developed into a quantitative perspective, with the design of exploratory case study conducted in the health services that integrate the various levels of the organization who are directly involved with the process of system power HiperDia in Natal / RN , represented here by SMS, health districts and the Family Health Units in the period from August to October 2008.Study participants were 110 professionals, including nurses, physicians, operators, administrator and a coordinator. The survey results showed that feeding HiperDia in Natal was maintained mainly by health professionals and operators. Activities include carrying out the state registration, monitoring, and updating of data transfer routines. They report that the difficulties in the process of feeding data are related to the work of teams and / or lack of structure of the Program of Hypertension and Diabetes (HA and DM), the discontinuity of federal investments in improving the HiperDia and lack of training. We can see then that the process of feeding system on Christmas HiperDia therefore is developing the three levels (SMS, districts and health units), however is not matching the expectations established by MS, considering that the gaps the flow of information are undermining the end result of this process
Resumo:
The Combinatorial Optimization is a basic area to companies who look for competitive advantages in the diverse productive sectors and the Assimetric Travelling Salesman Problem, which one classifies as one of the most important problems of this area, for being a problem of the NP-hard class and for possessing diverse practical applications, has increased interest of researchers in the development of metaheuristics each more efficient to assist in its resolution, as it is the case of Memetic Algorithms, which is a evolutionary algorithms that it is used of the genetic operation in combination with a local search procedure. This work explores the technique of Viral Infection in one Memetic Algorithms where the infection substitutes the mutation operator for obtaining a fast evolution or extinguishing of species (KANOH et al, 1996) providing a form of acceleration and improvement of the solution . For this it developed four variants of Viral Infection applied in the Memetic Algorithms for resolution of the Assimetric Travelling Salesman Problem where the agent and the virus pass for a symbiosis process which favored the attainment of a hybrid evolutionary algorithms and computational viable
Resumo:
This work present a interval approach to deal with images with that contain uncertainties, as well, as treating these uncertainties through morphologic operations. Had been presented two intervals models. For the first, is introduced an algebraic space with three values, that was constructed based in the tri-valorada logic of Lukasiewiecz. With this algebraic structure, the theory of the interval binary images, that extends the classic binary model with the inclusion of the uncertainty information, was introduced. The same one can be applied to represent certain binary images with uncertainty in pixels, that it was originated, for example, during the process of the acquisition of the image. The lattice structure of these images, allow the definition of the morphologic operators, where the uncertainties are treated locally. The second model, extend the classic model to the images in gray levels, where the functions that represent these images are mapping in a finite set of interval values. The algebraic structure belong the complete lattices class, what also it allow the definition of the elementary operators of the mathematical morphology, dilation and erosion for this images. Thus, it is established a interval theory applied to the mathematical morphology to deal with problems of uncertainties in images
Resumo:
Techniques of optimization known as metaheuristics have achieved success in the resolution of many problems classified as NP-Hard. These methods use non deterministic approaches that reach very good solutions which, however, don t guarantee the determination of the global optimum. Beyond the inherent difficulties related to the complexity that characterizes the optimization problems, the metaheuristics still face the dilemma of xploration/exploitation, which consists of choosing between a greedy search and a wider exploration of the solution space. A way to guide such algorithms during the searching of better solutions is supplying them with more knowledge of the problem through the use of a intelligent agent, able to recognize promising regions and also identify when they should diversify the direction of the search. This way, this work proposes the use of Reinforcement Learning technique - Q-learning Algorithm - as exploration/exploitation strategy for the metaheuristics GRASP (Greedy Randomized Adaptive Search Procedure) and Genetic Algorithm. The GRASP metaheuristic uses Q-learning instead of the traditional greedy-random algorithm in the construction phase. This replacement has the purpose of improving the quality of the initial solutions that are used in the local search phase of the GRASP, and also provides for the metaheuristic an adaptive memory mechanism that allows the reuse of good previous decisions and also avoids the repetition of bad decisions. In the Genetic Algorithm, the Q-learning algorithm was used to generate an initial population of high fitness, and after a determined number of generations, where the rate of diversity of the population is less than a certain limit L, it also was applied to supply one of the parents to be used in the genetic crossover operator. Another significant change in the hybrid genetic algorithm is the proposal of a mutually interactive cooperation process between the genetic operators and the Q-learning algorithm. In this interactive/cooperative process, the Q-learning algorithm receives an additional update in the matrix of Q-values based on the current best solution of the Genetic Algorithm. The computational experiments presented in this thesis compares the results obtained with the implementation of traditional versions of GRASP metaheuristic and Genetic Algorithm, with those obtained using the proposed hybrid methods. Both algorithms had been applied successfully to the symmetrical Traveling Salesman Problem, which was modeled as a Markov decision process
Resumo:
The industrial automation is directly linked to the development of information tecnology. Better hardware solutions, as well as improvements in software development methodologies make possible the rapid growth of the productive process control. In this thesis, we propose an architecture that will allow the joining of two technologies in hardware (industrial network) and software field (multiagent systems). The objective of this proposal is to join those technologies in a multiagent architecture to allow control strategies implementations in to field devices. With this, we intend develop an agents architecture to detect and solve problems which may occur in the industrial network environment. Our work ally machine learning with industrial context, become proposed multiagent architecture adaptable to unfamiliar or unexpected production environment. We used neural networks and presented an allocation strategies of these networks in industrial network field devices. With this we intend to improve decision support at plant level and allow operations human intervention independent
Resumo:
The traditional processes for treatment of hazardous waste are questionable for it generates other wastes that adversely affect people s health. As an attempt to minimize these problems, it was developed a system for treatment of hazardous waste by thermal plasma, a more appropriate technology since it produces high temperatures, preventing the formation of toxic pollutants to human beings. The present work brings out a solution of automation for this plant. The system has local and remote monitoring resources to ensure the operators security as well as the process itself. A special attention was given to the control of the main reactor temperature of the plant as it is the place where the main processing occurs and because it presents a complex mathematical model. To this, it was employed cascaded controls based on Fuzzy logic. A process computer, with a particular man-machine interface (MMI), provides information and controls of the plant to the operator, including by Internet. A compact PLC module is in charge of the central element of management automation and plant control which receives information from sensors, and sends it to the MMI
Resumo:
We propose a multi-resolution approach for surface reconstruction from clouds of unorganized points representing an object surface in 3D space. The proposed method uses a set of mesh operators and simple rules for selective mesh refinement, with a strategy based on Kohonen s self-organizing map. Basically, a self-adaptive scheme is used for iteratively moving vertices of an initial simple mesh in the direction of the set of points, ideally the object boundary. Successive refinement and motion of vertices are applied leading to a more detailed surface, in a multi-resolution, iterative scheme. Reconstruction was experimented with several point sets, induding different shapes and sizes. Results show generated meshes very dose to object final shapes. We include measures of performance and discuss robustness.
Resumo:
Ensuring the dependability requirements is essential for the industrial applications since faults may cause failures whose consequences result in economic losses, environmental damage or hurting people. Therefore, faced from the relevance of topic, this thesis proposes a methodology for the dependability evaluation of industrial wireless networks (WirelessHART, ISA100.11a, WIA-PA) on early design phase. However, the proposal can be easily adapted to maintenance and expansion stages of network. The proposal uses graph theory and fault tree formalism to create automatically an analytical model from a given wireless industrial network topology, where the dependability can be evaluated. The evaluation metrics supported are the reliability, availability, MTTF (mean time to failure), importance measures of devices, redundancy aspects and common cause failures. It must be emphasized that the proposal is independent of any tool to evaluate quantitatively the target metrics. However, due to validation issues it was used a tool widely accepted on academy for this purpose (SHARPE). In addition, an algorithm to generate the minimal cut sets, originally applied on graph theory, was adapted to fault tree formalism to guarantee the scalability of methodology in wireless industrial network environments (< 100 devices). Finally, the proposed methodology was validate from typical scenarios found in industrial environments, as star, line, cluster and mesh topologies. It was also evaluated scenarios with common cause failures and best practices to guide the design of an industrial wireless network. For guarantee scalability requirements, it was analyzed the performance of methodology in different scenarios where the results shown the applicability of proposal for networks typically found in industrial environments
Resumo:
In this work, the Markov chain will be the tool used in the modeling and analysis of convergence of the genetic algorithm, both the standard version as for the other versions that allows the genetic algorithm. In addition, we intend to compare the performance of the standard version with the fuzzy version, believing that this version gives the genetic algorithm a great ability to find a global optimum, own the global optimization algorithms. The choice of this algorithm is due to the fact that it has become, over the past thirty yares, one of the more importan tool used to find a solution of de optimization problem. This choice is due to its effectiveness in finding a good quality solution to the problem, considering that the knowledge of a good quality solution becomes acceptable given that there may not be another algorithm able to get the optimal solution for many of these problems. However, this algorithm can be set, taking into account, that it is not only dependent on how the problem is represented as but also some of the operators are defined, to the standard version of this, when the parameters are kept fixed, to their versions with variables parameters. Therefore to achieve good performance with the aforementioned algorithm is necessary that it has an adequate criterion in the choice of its parameters, especially the rate of mutation and crossover rate or even the size of the population. It is important to remember that those implementations in which parameters are kept fixed throughout the execution, the modeling algorithm by Markov chain results in a homogeneous chain and when it allows the variation of parameters during the execution, the Markov chain that models becomes be non - homogeneous. Therefore, in an attempt to improve the algorithm performance, few studies have tried to make the setting of the parameters through strategies that capture the intrinsic characteristics of the problem. These characteristics are extracted from the present state of execution, in order to identify and preserve a pattern related to a solution of good quality and at the same time that standard discarding of low quality. Strategies for feature extraction can either use precise techniques as fuzzy techniques, in the latter case being made through a fuzzy controller. A Markov chain is used for modeling and convergence analysis of the algorithm, both in its standard version as for the other. In order to evaluate the performance of a non-homogeneous algorithm tests will be applied to compare the standard fuzzy algorithm with the genetic algorithm, and the rate of change adjusted by a fuzzy controller. To do so, pick up optimization problems whose number of solutions varies exponentially with the number of variables
Resumo:
The evolution of automation in recent years made possible the continuous monitoring of the processes of industrial plants. With this advance, the amount of information that automation systems are subjected to increased significantly. The alarms generated by the monitoring equipment are a major contributor to this increase, and the equipments are usually deployed in industrial plants without a formal methodology, which entails an increase in the number of alarms generated, thus overloading the alarm system and therefore the operators of such plants. In this context, the works of alarm management comes up with the objective of defining a formal methodology for installation of new equipment and detect problems in existing settings. This thesis aims to propose a set of metrics for the evaluation of alarm systems already deployed, so that you can identify the health of this system by analyzing the proposed indices and comparing them with parameters defined in the technical norms of alarm management. In addition, the metrics will track the work of alarm management, verifying if it is improving the quality of the alarm system. To validate the proposed metrics, data from actual process plants of the petrochemical industry were used
Resumo:
The method of artificial lift of progressing cavity pump is very efficient in the production of oils with high viscosity and oils that carry a great amount of sand. This characteristic converted this lift method into the second most useful one in oil fields production. As it grows the number of its applications it also increases the necessity to dominate its work in a way to define it the best operational set point. To contribute to the knowledge of the operational method of artificial lift of progressing cavity pump, this work intends to develop a computational simulator for oil wells equipped with an artificial lift system. The computational simulator of the system will be able to represent its dynamic behavior when submitted to the various operational conditions. The system was divided into five subsystems: induction motor, multiphase flows into production tubing, rod string, progressing cavity pump and annular tubing-casing. The modeling and simulation of each subsystem permitted to evaluate the dynamic characteristics that defined the criteria connections. With the connections of the subsystems it was possible to obtain the dynamic characteristics of the most important arrays belonging to the system, such as: pressure discharge, pressure intake, pumping rate, rod string rotation and torque applied to polish string. The shown results added to a friendly graphical interface converted the PCP simulator in a great potential tool with a didactic characteristic in serving the technical capability for the system operators and also permitting the production engineering to achieve a more detail analysis of the dynamic operational oil wells equipped with the progressing cavity pump