869 resultados para Mixed Elliptic Problems with Singular Interfaces
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Na atualidade, a citricultura paulista enfrenta sérios problemas com o surgimento de novas enfermidades limitantes ao processo produtivo. Uma das alternativas para prevenir essas enfermidades é, seguramente, a produção de mudas certificadas, com borbulhas e sementes de assegurada qualidade genética e sanitária, produzidas em containers ou sacos plásticos, sob fiscalização dos órgãos competentes, garantindo-se, assim, a sanidade das mesmas. No entanto, tem-se verificado que grande parte do processo operacional de produção de mudas cítricas foi parcialmente adaptado da produção de essências florestais (eucalipto), onde se insere, principalmente, o emprego de tubetes com comprimento de 12 cm. Tal prática desencadeia uma grave deformidade morfológica no sistema radical das mudas cítricas, reduzindo o seu potencial de crescimento, quando são plantadas a campo, em local definitivo. Como a principal causa desencadeadora do declínio dos citros parece ser o estresse hídrico, plantas oriundas desse sistema de produção de mudas, mostram-se muito mais vulneráveis ao estresse e, conseqüentemente, a esta anomalia. Como atualmente todas as mudas produzidas no Estado de São Paulo provêm desse sistema de produção, seguramente o declínio dos citros tenderá a ser, futuramente, muito mais freqüente e severo nos casos de combinações vulneráveis à sua ocorrência.
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This research aims at studying the formation of internal consultants in organizational setting in the joint resolution of problems, around the conversion of knowledge. The objective of research is to understand and explain the meanings attributed by Petrobras internal consultants to their practice and training for the conversion process of tacit knowledge into explicit, around the joint resolution of their problems with their collaborators. It has directed the next question: what the meanings assigned by the consultants of Unidade de Negócios Rio Grande do Norte e Ceara (UN-RNCE) in Knowledge Management (KM), for their interventionist and formative practices in problem solving, as well as conversion of tacit knowledge in explicit? This paper has assumed that there is a dual logic integrated into its daily practices: solving troubles and converting knowledge. The thesis has considered the daily practices of these consultants are characterized as epistemic spaces and permanent education through the conversion of knowledge. It has adopted the principles of multi-referential approach as foundations, regarding the translation of a variety of angles, perspectives and prospects which allow the interpretation and understanding of complex issues that are part of conversion of knowledge. The understanding and explanation of the senses are based on the methodology of the comprehensive interview; taking ownership is the sensitive listening for comprehensive interpretation of oral discourses of ten consultants, in addition to the autoscopy that putting into practice, thus, the stance of the researcher as an intellectual craftsman. Furthermore, it has assessed that the limits and possibilities for training and learning in the conversion of knowledge arise, on one hand from a predominantly driven training culture by the paradigm of technical rationality and one the other hand, from a set of relationship to knowledge and relation to know , revealed in the search for training in other dimensions. There are tensions between the local and global demands located in a situation marked by a systemic organization of knowledge. However, the context is perceived by researchers as impregnated by the discontinuity, unpredictability and uncertainty; mobilizing a number of elements necessary for the mediation in training practices of these consultants. Finally, it has set an instrumental and technological support, restricting the formation and undermining the position of the consultancy as nuclear function in Knowledge Management
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Objetivou-se avaliar a eficácia e a seletividade do herbicida flazasulfuron aplicado em pré-emergência de Panicum maximum, Brachiaria plantaginea e Digitaria horizontalis e das plantas de cana-de-açúcar, em solos argilosos com diferentes teores de água na superfície, após os primeiros cinco dias da aplicação. Foram testadas as seguintes doses de flazasulfuron isolado: 37,5; 50,0; e 75,0 g ha-1. O herbicida foi misturado, na menor dose (37,5 g ha-1), com ametrine e diuron, ambos a 1.000 g ha¹, e com acetochlor na dose de 1.536 g ha-1. Esses tratamentos foram comparados aos padrões comerciais: isoxaflutole (112,5 g ha-1), tebuthiuron (1.000 g ha-1), sulfentrazone (800 g ha-1) e diuron + hexazinone (1.500 g ha-1). Mantiveram-se as testemunhas capinada e infestada. Todos os herbicidas foram seletivos aos cultivares de cana-de-açúcar testados (RB 845257 e RB 855536). O herbicida flazasulfuron, bem como alguns padrões comerciais, proporcionou ótimos níveis de controle das plantas daninhas onde o solo se encontrava com bons teores de água nesse período. Os resultados foram insatisfatórios - sobretudo para o flazasulfuron isolado ou em misturas com ametrine, acetochlor e diuron - para o controle de P. maximum e B. plantaginea em solo com menor teor de água na superfície. Com a dose de 37,5 g ha-1 do flazasulfuron, o controle de B. plantaginea aos 90 dias após a aplicação, foi de 42,5% em função da redução do teor de água de 22% (CC) a 7,1%, na camada de 0 a 2,5 cm do solo. O controle aumentou para 97,5% quando a variação foi de 25% a 21%.
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The objective of analyze the shift of the working process of the ESF team in care of children with disabilities, from awareness-raising actions. It is a qualitative study, with the action-research method. Thirteen health professionals were involved from two teams of ESF unit area of the Unidade de Saúde da Família Dr. Chico Porto (UBSFCP) in Mossoró, from March to August 2011. Data were analyzed following the direction of freirean s thematic analysis. In the situational diagnosis of the current reality of CwD assistance in that UBSFCP, through participant observation and application of semi-structured interviews with professionals, we realize that despite these actions carry some assistance to the CwD, in practice few are used for inclusion and accessibility. The monitoring of the CwD is done through individual consultations by each team professional, home visits when possible, both ruled on the complaints and problems, with little solving in the used actions. Since the need for a change in the treatment model and training requirements as pointed out by professionals in the interview, then we decided to build the proposed of training suggested by the multidisciplinary team and put together collectively the achievement of this moment in all its phases. In the step of implementation (action), aspects related to the current situation in Brazil and Mossoró (Laws, policies and health care) for the CwD and CwD Assistance and their family in the ESF in the first two moments of the first training (action) were contemplate. On the second day we discussed the specialized care to CwD, contribution of the Handicapped Parents and Friends Association of Mossoró and in a second moment a workshop was held in which awareness for inclusion of CwD and actions of ESF were discussed. All these moments were discussed and collectively constructed. In the evaluation, we found that implementation (action) allowed to the professional the comprehension of new understandings about people with disabilities, on ways to include, guiding, caring, watching, and mainly to have a new vision on health assistance of the CwD, expanding assistance beyond clinical aspects and recognizing the educational aspects of the rights and duties of citizens and the inclusion of these children in the social spaces area. As difficulties, we face the need for some professionals to be absent to attend another job, solve personal problems, and little or no participation. Thus, during this action-research, the subjects were able to realize the importance of carrying out their practice to the quality of life for him and to the one they care
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The progresses of the Internet and telecommunications have been changing the concepts of Information Technology IT, especially with regard to outsourcing services, where organizations seek cost-cutting and a better focus on the business. Along with the development of that outsourcing, a new model named Cloud Computing (CC) evolved. It proposes to migrate to the Internet both data processing and information storing. Among the key points of Cloud Computing are included cost-cutting, benefits, risks and the IT paradigms changes. Nonetheless, the adoption of that model brings forth some difficulties to decision-making, by IT managers, mainly with regard to which solutions may go to the cloud, and which service providers are more appropriate to the Organization s reality. The research has as its overall aim to apply the AHP Method (Analytic Hierarchic Process) to decision-making in Cloud Computing. There to, the utilized methodology was the exploratory kind and a study of case applied to a nationwide organization (Federation of Industries of RN). The data collection was performed through two structured questionnaires answered electronically by IT technicians, and the company s Board of Directors. The analysis of the data was carried out in a qualitative and comparative way, and we utilized the software to AHP method called Web-Hipre. The results we obtained found the importance of applying the AHP method in decision-making towards the adoption of Cloud Computing, mainly because on the occasion the research was carried out the studied company already showed interest and necessity in adopting CC, considering the internal problems with infrastructure and availability of information that the company faces nowadays. The organization sought to adopt CC, however, it had doubt regarding the cloud model and which service provider would better meet their real necessities. The application of the AHP, then, worked as a guiding tool to the choice of the best alternative, which points out the Hybrid Cloud as the ideal choice to start off in Cloud Computing. Considering the following aspects: the layer of Infrastructure as a Service IaaS (Processing and Storage) must stay partly on the Public Cloud and partly in the Private Cloud; the layer of Platform as a Service PaaS (Software Developing and Testing) had preference for the Private Cloud, and the layer of Software as a Service - SaaS (Emails/Applications) divided into emails to the Public Cloud and applications to the Private Cloud. The research also identified the important factors to hiring a Cloud Computing provider
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This work presents a theoretical and experimental investigation about the properties of microstrip antennas for ultra-wideband systems. Configurations of elliptic monopoles with different eccentricities and circular monopoles are considered. Two prototypes for each antenna configuration were built, one with the typical microstrip configuration and the other is similar to the first, except for a small aperture in the ground plane. Therefore, this work proposes to modify the configuration of the ground plane of the monopoles designed adding a rectangular stub, in order to optimize and improve the performance of such structures. The obtained results show that the introduction of that rectangular aperture in the ground plane allows an improvement of the frequency response for the considered antenna propotypes. It is observed a good agreement between the measured and simulated results. Finally, some proposals for future works are presented
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This work deals with the development of an experimental study on a power supply of high frequency that provides the toch plasmica to be implemented in PLASPETRO project, which consists of two static converters developed by using Insulated Gate Bipolar Transistor (IGBT). The drivers used to control these keys are triggered by Digital Signal Processor (DSP) through optical fibers to reduce problems with electromagnetic interference (EMI). The first stage consists of a pre-regulator in the form of an AC to DC converter with three-phase boost power factor correction which is the main theme of this work, while the second is the source of high frequency itself. A series-resonant inverter consists of four (4) cell inverters operating in a frequency around 115 kHz each one in soft switching mode, alternating itself to supply the load (plasma torch) an alternating current with a frequency of 450 kHz. The first stage has the function of providing the series-resonant inverter a DC voltage, with the value controlled from the power supply provided by the electrical system of the utility, and correct the power factor of the system as a whole. This level of DC bus voltage at the output of the first stage will be used to control the power transferred by the inverter to the load, and it may vary from 550 VDC to a maximum of 800 VDC. To control the voltage level of DC bus driver used a proportional integral (PI) controller and to achieve the unity power factor it was used two other proportional integral currents controllers. Computational simulations were performed to assist in sizing and forecasting performance. All the control and communications needed to stage supervisory were implemented on a DSP
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This work shows a study about the Generalized Predictive Controllers with Restrictions and their implementation in physical plants. Three types of restrictions will be discussed: restrictions in the variation rate of the signal control, restrictions in the amplitude of the signal control and restrictions in the amplitude of the Out signal (plant response). At the predictive control, the control law is obtained by the minimization of an objective function. To consider the restrictions, this minimization of the objective function is done by the use of a method to solve optimizing problems with restrictions. The chosen method was the Rosen Algorithm (based on the Gradient-projection). The physical plants in this study are two didactical systems of water level control. The first order one (a simple tank) and another of second order, which is formed by two tanks connected in cascade. The codes are implemented in C++ language and the communication with the system to be done through using a data acquisition panel offered by the system producer
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The pineapple crop are high potential for economic expression and social, but problems with productivity and management of production costs can be solved in order to ensure the sustainability of the farming system. The objective of this study was determine the cost of production and profitability of the pineapple's cultivation Pearl in Cassilandia-MS, under application of potassium doses fertilizer. The treatments consisted of the following doses of potassium (K2O): 0, 200, 400, 600, 800 kg ha(-1), used as a commercial source of potassium chloride (60% K2O). Were determined by estimating the effective operational cost (EOC), total operating cost (TOC), gross (RB), operating profitability (LO), profitability index (%), productivity of balance and equilibrium price. It was found that all treatments had operating profitability and positive profitability index. Potassium fertilization with 200 kg ha(-1) gave an average productivity of 50416.58 kg ha(-1), and also promoted the highest operating profit of R$ 9,108.97, the profit margin of 36.13% and best benefit cost (R$ 1.57).
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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
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Artificial neural networks are usually applied to solve complex problems. In problems with more complexity, by increasing the number of layers and neurons, it is possible to achieve greater functional efficiency. Nevertheless, this leads to a greater computational effort. The response time is an important factor in the decision to use neural networks in some systems. Many argue that the computational cost is higher in the training period. However, this phase is held only once. Once the network trained, it is necessary to use the existing computational resources efficiently. In the multicore era, the problem boils down to efficient use of all available processing cores. However, it is necessary to consider the overhead of parallel computing. In this sense, this paper proposes a modular structure that proved to be more suitable for parallel implementations. It is proposed to parallelize the feedforward process of an RNA-type MLP, implemented with OpenMP on a shared memory computer architecture. The research consistes on testing and analizing execution times. Speedup, efficiency and parallel scalability are analyzed. In the proposed approach, by reducing the number of connections between remote neurons, the response time of the network decreases and, consequently, so does the total execution time. The time required for communication and synchronization is directly linked to the number of remote neurons in the network, and so it is necessary to investigate which one is the best distribution of remote connections
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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
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This work proposes a computational methodology to solve problems of optimization in structural design. The application develops, implements and integrates methods for structural analysis, geometric modeling, design sensitivity analysis and optimization. So, the optimum design problem is particularized for plane stress case, with the objective to minimize the structural mass subject to a stress criterion. Notice that, these constraints must be evaluated at a series of discrete points, whose distribution should be dense enough in order to minimize the chance of any significant constraint violation between specified points. Therefore, the local stress constraints are transformed into a global stress measure reducing the computational cost in deriving the optimal shape design. The problem is approximated by Finite Element Method using Lagrangian triangular elements with six nodes, and use a automatic mesh generation with a mesh quality criterion of geometric element. The geometric modeling, i.e., the contour is defined by parametric curves of type B-splines, these curves hold suitable characteristics to implement the Shape Optimization Method, that uses the key points like design variables to determine the solution of minimum problem. A reliable tool for design sensitivity analysis is a prerequisite for performing interactive structural design, synthesis and optimization. General expressions for design sensitivity analysis are derived with respect to key points of B-splines. The method of design sensitivity analysis used is the adjoin approach and the analytical method. The formulation of the optimization problem applies the Augmented Lagrangian Method, which convert an optimization problem constrained problem in an unconstrained. The solution of the Augmented Lagrangian function is achieved by determining the analysis of sensitivity. Therefore, the optimization problem reduces to the solution of a sequence of problems with lateral limits constraints, which is solved by the Memoryless Quasi-Newton Method It is demonstrated by several examples that this new approach of analytical design sensitivity analysis of integrated shape design optimization with a global stress criterion purpose is computationally efficient
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After the Protocol of Kyoto and of the ECHO 92 - Rio de Janeiro, the attentions of the world focus to the preservation of the environment and of the maintainable use of the natural resources. People were looking for preserving environment for the future generations. Ever since, solutions are looked for the supply of energy in its more acquaintances forms and the substitution of the use of fossil fuels for the such alternative forms as: Photovoltaics, solar heat systems for water, wind , bio-diesel, etc. and in this context the Company of Engineering of the State of Bahia - Cerb changed a diesel pumping system by an wind one, It´s the first community system of this nature in Bahia. Facing problems with the model, a Cerb involved the academic segment of the Federal Center of Technological Education of Bahia Cefetba looking for a solution. This work intends to demonstrate the possibilities of optimization of the pumping communit system that supply water to approximately 50 people in the place of Romão, municipal district of São Gabriel-Ba. Technical reports were published in AGRENERGD2004-Unicamp SP and Scientific Magazine ETC,Cefetba, 2005. A simulation of the increase of energy is presented for heights of 15 and 20m, considering the eletromecanical balance from the pumping energy to the wind turbine. From the accomplished bibliographical revision, we emphasized the mechanical aspects of the engineering once in UFRN, those studies concentrate on the Department of Mechanical Engineering while, in others eletroelectronic are more emphasized. Finally, documents that we judged important were enclosed for the perfect understanding of this work
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Agricultores no médio Vale do Paranapanema têm relatado problemas com bandos de pombas (Zenaida auriculata) que se alimentam de cotilédones de soja na época do plantio. Na região do município de Tarumã, SP, essas aves se reproduzem em uma colônia situada em um canavial, e sua dieta é composta de 70% do peso seco por 4 grãos cultivados (em ordem de importância: milho, trigo, arroz e soja). As sementes de três invasoras (Euphorbia heterophylla, Brachiaria plantaginea e Commelina benghalensis) são importantes. Essa informação sugere que as pombas se adaptaram particularmente bem à paisagem criada pelas práticas agrícolas da região, aproveitando vários alimentos oferecidos.