997 resultados para Barrier method


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Tool center point calibration is a known problem in industrial robotics. The major focus of academic research is to enhance the accuracy and repeatability of next generation robots. However, operators of currently available robots are working within the limits of the robot´s repeatability and require calibration methods suitable for these basic applications. This study was conducted in association with Stresstech Oy, which provides solutions for manufacturing quality control. Their sensor, based on the Barkhausen noise effect, requires accurate positioning. The accuracy requirement admits a tool center point calibration problem if measurements are executed with an industrial robot. Multiple possibilities are available in the market for automatic tool center point calibration. Manufacturers provide customized calibrators to most robot types and tools. With the handmade sensors and multiple robot types that Stresstech uses, this would require great deal of labor. This thesis introduces a calibration method that is suitable for all robots which have two digital input ports free. It functions with the traditional method of using a light barrier to detect the tool in the robot coordinate system. However, this method utilizes two parallel light barriers to simultaneously measure and detect the center axis of the tool. Rotations about two axes are defined with the center axis. The last rotation about the Z-axis is calculated for tools that have different width of X- and Y-axes. The results indicate that this method is suitable for calibrating the geometric tool center point of a Barkhausen noise sensor. In the repeatability tests, a standard deviation inside robot repeatability was acquired. The Barkhausen noise signal was also evaluated after recalibration and the results indicate correct calibration. However, future studies should be conducted using a more accurate manipulator, since the method employs the robot itself as a measuring device.

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

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The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter estimation problems for nonlinear model with unknown-but-bounded errors and uncertainties. This problem can be represented by a typical constrained optimization problem. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the network convergence to the equilibrium points. A solution for the robust estimation problem with unknown-but-bounded error corresponds to an equilibrium point of the network. Simulation results are presented as an illustration of the proposed approach.

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In this paper is presented a new approach for optimal power flow problem. This approach is based on the modified barrier function and the primal-dual logarithmic barrier method. A Lagrangian function is associated with the modified problem. The first-order necessary conditions for optimality are fulfilled by Newton's method, and by updating the barrier terms. The effectiveness of the proposed approach has been examined by solving the Brazilian 53-bus, IEEE118-bus and IEEE162-bus systems.

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The aim of solving the Optimal Power Flow problem is to determine the optimal state of an electric power transmission system, that is, the voltage magnitude and phase angles and the tap ratios of the transformers that optimize the performance of a given system, while satisfying its physical and operating constraints. The Optimal Power Flow problem is modeled as a large-scale mixed-discrete nonlinear programming problem. This paper proposes a method for handling the discrete variables of the Optimal Power Flow problem. A penalty function is presented. Due to the inclusion of the penalty function into the objective function, a sequence of nonlinear programming problems with only continuous variables is obtained and the solutions of these problems converge to a solution of the mixed problem. The obtained nonlinear programming problems are solved by a Primal-Dual Logarithmic-Barrier Method. Numerical tests using the IEEE 14, 30, 118 and 300-Bus test systems indicate that the method is efficient. (C) 2012 Elsevier B.V. All rights reserved.

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A new approach for solving the optimal power flow (OPF) problem is established by combining the reduced gradient method and the augmented Lagrangian method with barriers and exploring specific characteristics of the relations between the variables of the OPF problem. Computer simulations on IEEE 14-bus and IEEE 30-bus test systems illustrate the method. (c) 2007 Elsevier Inc. All rights reserved.

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This paper presents a new approach, predictor-corrector modified barrier approach (PCMBA), to minimize the active losses in power system planning studies. In the PCMBA, the inequality constraints are transformed into equalities by introducing positive auxiliary variables. which are perturbed by the barrier parameter, and treated by the modified barrier method. The first-order necessary conditions of the Lagrangian function are solved by predictor-corrector Newton`s method. The perturbation of the auxiliary variables results in an expansion of the feasible set of the original problem, reaching the limits of the inequality constraints. The feasibility of the proposed approach is demonstrated using various IEEE test systems and a realistic power system of 2256-bus corresponding to the Brazilian South-Southeastern interconnected system. The results show that the utilization of the predictor-corrector method with the pure modified barrier approach accelerates the convergence of the problem in terms of the number of iterations and computational time. (C) 2008 Elsevier B.V. All rights reserved.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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This article presents a new approach to minimize the losses in electrical power systems. This approach considers the application of the primal-dual logarithmic barrier method to voltage magnitude and tap-changing transformer variables, and the other inequality constraints are treated by augmented Lagrangian method. The Lagrangian function aggregates all the constraints. The first-order necessary conditions are reached by Newton's method, and by updating the dual variables and penalty factors. Test results are presented to show the good performance of this approach.

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This paper presents a new approach to solve the Optimal Power Flow problem. This approach considers the application of logarithmic barrier method to voltage magnitude and tap-changing transformer variables and the other constraints are treated by augmented Lagrangian method. Numerical test results are presented, showing the effective performance of this algorithm. (C) 2005 Elsevier Ltd. All rights reserved.

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Background: Sexually transmitted infections (STIs) present a major public health concern and a global cause of illness in both industrialized and developing countries. Portugal is no exception, with an increasing incidence of STIs, and one of the highest prevalences of HIV in Europe. Reduced risk perceptions among men who have sex with men (MSM) and a consequent high-risk sexual behaviour have been increasingly reported throughout the world. Objectives: To characterize the population of MSM attending a STI clinic in Lisbon, and to assess practice of condom use among these patients. Methods: Records of all MSM patients who attended the STI clinic from 2008 to 2011 were reviewed to study demographic characteristics, sexual behaviours, and leading diagnoses in this population. Results: Of a total of 389 patients, 108 MSM were identified (27.8%), mostly Portuguese men with high school or above education, aged 17 to 61 years (medium age of 32.4 years). More than half of the patients (52.8%) reported more than one sexual partner in the past 6 months (19.4% more than 5 partners), and only a third consistently used condom. A history of sex with sex workers was mentioned in 9.2%. The most prevalent diagnoses were syphilis (45.6%) and condylomata acuminata (38.9%). The prevalence of HIV infection in this subgroup of patients was significantly higher than in the rest of the population (47.2% vs. 14.9%). Inconsistent condom use increased over the years (36.4% in 2008, 66.7% in 2011), and these patients revealed a greater number of sexual partners than condom users (60.4% vs. 50%). However, 38.9% of condom users presented with early syphilis, suggesting inadequate use of this barrier method. Among HIV patients, almost half of them (49%) had sex with more than one partner in the previous six months, and 47.1% did not use the condom during all sexual practices. Of these, 45.8% were not on antiretroviral therapy. Conclusions: High-risk sexual behaviours (inconsistent use of condom and multiple partners) are increasingly prevalent in this MSM subpopulation, despite previous educational programmes. The high incidence of risk behaviours among HIV infected patients is particularly worrisome, and must be addressed with innovative interventions and population-based prevention strategies.

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Les xarxes híbrides satèl·lit-terrestre ofereixen connectivitat a zones remotes i aïllades i permeten resoldre nombrosos problemes de comunicacions. No obstant, presenten diversos reptes, ja que realitzen la comunicació per un canal mòbil terrestre i un canal satèl·lit contigu. Un d'aquests reptes és trobar mecanismes per realitzar eficientment l'enrutament i el control de flux, de manera conjunta. L'objectiu d'aquest projecte és simular i estudiar algorismes existents que resolguin aquests problemes, així com proposar-ne de nous, mitjançant diverses tècniques d'optimització convexa. A partir de les simulacions realitzades en aquest estudi, s'han analitzat àmpliament els diversos problemes d'enrutament i control de flux, i s'han avaluat els resultats obtinguts i les prestacions dels algorismes emprats. En concret, s'han implementat de manera satisfactòria algorismes basats en el mètode de descomposició dual, el mètode de subgradient, el mètode de Newton i el mètode de la barrera logarítmica, entre d'altres, per tal de resoldre els problemes d'enrutament i control de flux plantejats.

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It is a descriptive study with a qualitative approach, and an action-research type, which aimed to analyze the changes of knowledge about contraceptive methods invested to a teenager group attended in Igapó Family Healthcare Unit, in the city of Natal/RN, after consent and institutional assent of Ethics Committee of Rio Grande do Norte Federal University (Protocol No. 131/07). It were researched 16 teenagers of both sexes, with age ranging from 11 to 16 years. We used two structured questionnaires, one in the initial diagnosis and another during the seven meetings of the focus group, in addition to the field notes and the meetings discussions transcriptions. The data-collection was performed in the period of two months by a team composed by a nurse the research coordinator, a dentist, a nursing assistant, a community-based healthcare worker and a nursing academic. The quantitative and qualitative data were organized, tagged and categorized into spreadsheet in Microsoft Excel, being held a thematic analysis of speeches performed by the study participants. The results were presented as tables, graphics, photos, drawings and word clippings. The educational strategy developed in focus group allowed adolescents to discuss, exchange ideas and opinions on several contraceptive methods, providing expansion in knowledge of all contraceptives discussed, especially those natural and surgical, which were less mentioned at the beginning of the study. Among the advantages of the contraceptive methods listed by teenagers, was highlighted avoiding pregnancy and STDs in use of the barrier method of condom. As for the disadvantages more frequently noted by the survey with the misuse of barrier methods, was highlighted get pregnant, acquire STD's and do not prevent STD's in hormonal, natural and surgical methods. Adolescents showed consistency between the advantages and disadvantages and types of contraceptive methods, showing a widening in knowledge among them. It may be said that, in general, those surveyed had a good understanding about the use of the various contraceptive methods. Thus, the study participants had positively evaluated all the criteria used to qualify the meetings in the focus group. The action strategy of the focus group should be encouraged by professionals who work with teenagers, since they prefer to live in groups, one characteristic of adolescence.

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

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The gravity inversion method is a mathematic process that can be used to estimate the basement relief of a sedimentary basin. However, the inverse problem in potential-field methods has neither a unique nor a stable solution, so additional information (other than gravity measurements) must be supplied by the interpreter to transform this problem into a well-posed one. This dissertation presents the application of a gravity inversion method to estimate the basement relief of the onshore Potiguar Basin. The density contrast between sediments and basament is assumed to be known and constant. The proposed methodology consists of discretizing the sedimentary layer into a grid of rectangular juxtaposed prisms whose thicknesses correspond to the depth to basement which is the parameter to be estimated. To stabilize the inversion I introduce constraints in accordance with the known geologic information. The method minimizes an objective function of the model that requires not only the model to be smooth and close to the seismic-derived model, which is used as a reference model, but also to honor well-log constraints. The latter are introduced through the use of logarithmic barrier terms in the objective function. The inversion process was applied in order to simulate different phases during the exploration development of a basin. The methodology consisted in applying the gravity inversion in distinct scenarios: the first one used only gravity data and a plain reference model; the second scenario was divided in two cases, we incorporated either borehole logs information or seismic model into the process. Finally I incorporated the basement depth generated by seismic interpretation into the inversion as a reference model and imposed depth constraint from boreholes using the primal logarithmic barrier method. As a result, the estimation of the basement relief in every scenario has satisfactorily reproduced the basin framework, and the incorporation of the constraints led to improve depth basement definition. The joint use of surface gravity data, seismic imaging and borehole logging information makes the process more robust and allows an improvement in the estimate, providing a result closer to the actual basement relief. In addition, I would like to remark that the result obtained in the first scenario already has provided a very coherent basement relief when compared to the known basin framework. This is significant information, when comparing the differences in the costs and environment impact related to gravimetric and seismic surveys and also the well drillings