917 resultados para Distributed Generator, Network Loss, Primal-Dual Interior Point Algorithm, Sitting and Sizing


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

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Mobile robots need autonomy to fulfill their tasks. Such autonomy is related whith their capacity to explorer and to recognize their navigation environments. In this context, the present work considers techniques for the classification and extraction of features from images, using artificial neural networks. This images are used in the mapping and localization system of LACE (Automation and Evolutive Computing Laboratory) mobile robot. In this direction, the robot uses a sensorial system composed by ultrasound sensors and a catadioptric vision system equipped with a camera and a conical mirror. The mapping system is composed of three modules; two of them will be presented in this paper: the classifier and the characterizer modules. Results of these modules simulations are presented in this paper.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Objective: The present study evaluated morphometrically bone loss percentages in experimental periodontitis in rats, comparing different locations (lingual mandible, palatal maxilla and buccal maxilla) and two evaluation methods (distance and area methods). Material and Methods: Ligatures were placed around the maxillary right second molar and around the mandibular right first molar in 14 female Wistar rats. The contralateral molars served as intragroup control. After 4 weeks, the rats were sacrificed and their mandible and maxilla were removed. The specimens were dissected and stained with methylene blue dye. Bone loss was evaluated by two different methods on the surfaces of the defleshed jaw. In the first method, the distance from the cementoenamel junction (CEJ) to the alveolar bone crest was measured in the roots of teeth associated with ligature. In the second method, the area of bone loss was determined using the alveolar tissue bone, CEJ and the proximal region of roots associated with the ligature as reference. The data were converted to bone loss percentages caused by ligature: (ligated - unligated) x 100/ligated. Results: When comparing the distance and area methods, no statistically significant difference was observed (p>0.05). Both methodologies indicated that the maxilla presented greater bone loss than the mandible and it was more accentuated on the buccal side than on the palatal side (p<0.05). Conclusions: The findings of this study show that both the area and the distance methods can be used to evaluate bone loss caused by ligature placement in rats, and suggest applying the morphometric methodology to the maxilla on the buccal side.

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

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Racional A retirada total ou parcial do estômago resulta em conseqüências nutricionais, agudas ou crônicas, perfeitamente prognosticáveis, mas nem sempre ponderadas na terapia pós-operatória. Objetivo - Rever as participações mecânicas e químicas do estômago no aproveitamento do nutriente dietético, e as conseqüências nutricionais da gastrectomia. Resultados - A deficiência energética, com conseqüente perda de peso, acompanha inversamente o volume gástrico remanescente e o tempo pós-operatório; tem a anorexia e diarréia (má absorção) como principais causas, sendo a primeira decorrente de fatores emocionais ou de mediadores químicos de ação hipotalâmica. A diarréia pode ser decorrente da maior motilidade ou do supercrescimento bacteriano intestinais, com o agravante da insuficiência pancreática exócrina e maior esvaziamento da vesícula biliar. A má absorção traz conseqüências não apenas energética-protéica com a perda fecal de gordura e nitrogênio, como também vitamínico-mineral pelo menor aproveitamento da vitamina D e cálcio dietéticos. A anemia verificada no gastrectomizado é conseqüente à diminuição da produção de HCl (e menor solubilização do ferro) e do fator intrínseco (com menor absorção da vitamina B12). Conclusão - Perda de peso e anemia são os sinais de desnutrição mais comumente observados nestes pacientes, em intensidade e duração variáveis dependentes do tipo de cirurgia e do tempo e tratamento nutricional pós-operatório, sendo recomendável o tratamento dietético supervisionado.

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O presente experimento foi conduzido com o objetivo de avaliar a porcentagem de inclusão da espécie forrageira Gliricidia sepium (Jacq.) Walq na confecção do sal forrageiro de gliricídia, por meio de características de carcaça e de não componentes da carcaça de cordeiros. Foram utilizados 30 cordeiros mestiços da raça Santa Inês, não castrados, com aproximadamente 180 dias de idade, peso vivo médio de 25kg, confinados, num delineamento experimental inteiramente ao acaso, com cinco tratamentos e seis repetições, em que os tratamentos foram constituídos de zero (100% de NaCl), 93, 95, 97 e 99% de inclusão de feno de gliricídia (7, 5, 3 e 1% de NaCl na formulação do sal forrageiro, respectivamente). A suplementação com sal forrageiro de gliricídia não afetou (P>0,05) o peso vivo ao abate em jejum (28,39kg), peso de carcaça quente (9,76kg), rendimento de carcaça quente (34,12%), o peso de carcaça fria (9,42kg), o rendimento de carcaça fria (32,95%), as perdas de peso por resfriamento (3,40%), assim como o peso de vísceras brancas (2,19kg) e o peso de vísceras vermelhas (1,29kg). Porcentagem de inclusão de até 99% de gliricídia na confecção de sal forrageiro não altera (P>0,05) as características de carcaça e de não componentes da carcaça de cordeiros.

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This work describes an application of a multilayer perceptron neural network technique to correct dome emission effects on longwave atmospheric radiation measurements carried out using an Eppley Precision Infrared Radiometer (PIR) pyrgeometer. It is shown that approximately 7-month-long measurements of dome and case temperatures and meteorological variables available in regular surface stations (global solar radiation, air temperature, and air relative humidity) are enough to train the neural network algorithm and correct the observed longwave radiation for dome temperature effects in surface stations with climates similar to that of the city of São Paulo, Brazil. The network was trained using data from 15 October 2003 to 7 January 2004 and verified using data, not present during the network-training period, from 8 January to 30 April 2004. The longwave radiation values generated by the neural network technique were very similar to the values obtained by Fairall et al., assumed here as the reference approach to correct dome emission effects in PIR pyrgeometers. Compared to the empirical approach the neural network technique is less limited to sensor type and time of day (allows nighttime corrections).

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CaBi2Nb2O9 (CBNO) thin films deposited on platinum coated silicon substrates by the polymeric precursor method exhibited good structural, dielectric, and piezoelectric characteristics. Capacitance-voltage measurements indicated good ferroelectric polarization switching characteristics. Remanent polarization and drive voltage values were 4.2 mu C/cm(2) and 1.7 V for a maximum applied voltage of 10 V. The film has a piezoelectric coefficient d(33) equal to 60 pm/V, current density of 0.7 mu A/cm(2), and Curie temperature of 940 degrees C. The polar-axis-oriented CBNO is a promising candidate for use in lead-free high Curie point in ferroelectric and piezoelectric devices. (c) 2006 American Institute of Physics.

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The use of master actions to prove duality at quantum level becomes cumbersome if one of the dual fields interacts nonlinearly with other fields. This is the case of the theory considered here consisting of U(1) scalar fields coupled to a self-dual field through a linear and a quadratic term in the self-dual field. Integrating perturbatively over the scalar fields and deriving effective actions for the self-dual and the gauge field we are able to consistently neglect awkward extra terms generated via master action and establish quantum duality up to cubic terms in the coupling constant. The duality holds for the partition function and some correlation functions. The absence of ghosts imposes restrictions on the coupling with the scalar fields.

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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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Large scale combinatorial problems such as the network expansion problem present an amazingly high number of alternative configurations with practically the same investment, but with substantially different structures (configurations obtained with different sets of circuit/transformer additions). The proposed parallel tabu search algorithm has shown to be effective in exploring this type of optimization landscape. The algorithm is a third generation tabu search procedure with several advanced features. This is the most comprehensive combinatorial optimization technique available for treating difficult problems such as the transmission expansion planning. The method includes features of a variety of other approaches such as heuristic search, simulated annealing and genetic algorithms. In all test cases studied there are new generation, load sites which can be connected to an existing main network: such connections may require more than one line, transformer addition, which makes the problem harder in the sense that more combinations have to be considered.

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dIn this work, a perceptron neural-network technique is applied to estimate hourly values of the diffuse solar-radiation at the surface in São Paulo City, Brazil, using as input the global solar-radiation and other meteorological parameters measured from 1998 to 2001. The neural-network verification was performed using the hourly measurements of diffuse solar-radiation obtained during the year 2002. The neural network was developed based on both feature determination and pattern selection techniques. It was found that the inclusion of the atmospheric long-wave radiation as input improves the neural-network performance. on the other hand traditional meteorological parameters, like air temperature and atmospheric pressure, are not as important as long-wave radiation which acts as a surrogate for cloud-cover information on the regional scale. An objective evaluation has shown that the diffuse solar-radiation is better reproduced by neural network synthetic series than by a correlation model. (C) 2004 Elsevier Ltd. All rights reserved.

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The neutral wire in most power flow software is usually merged into phase wires using Kron's reduction. Since the neutral wire and the ground are not explicitly represented, neutral wire and ground currents and voltages remain unknown. In some applications, like power quality and safety analyses, loss analysis, etc., knowing the neutral wire and ground currents and voltages could be of special interest. In this paper, a general power flow algorithm for three-phase four-wire radial distribution networks, considering neutral grounding, based on backward-forward technique, is proposed. In this novel use of the technique, both the neutral wire and ground are explicitly represented. A problem of three-phase distribution system with earth return, as a special case of a four-wire network, is also elucidated. Results obtained from several case studies using medium- and low-voltage test feeders with unbalanced load, are presented and discussed.

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In order to develop statistical models to predict respiratory heat loss in dairy cattle using simple physiological and environmental measurements, 15 Holstein cows were observed under field conditions in a tropical environment, in which the air temperature reached up to 40 &DEG; C. The measurements of latent and sensible heat loss from the respiratory tract of the animals were made by using a respiratory mask. The results showed that under air temperatures between 10 and 35 &DEG; C sensible heat loss by convection decreased from 8.24 to 1.09 W m(-2), while the latent heat loss by evaporation increased from 1.03 to 56.51 W m(-2). The evaporation increased together with the air temperature in almost a linear fashion until 20 &DEG; C, but it became increasingly high as the air temperature rose above 25 &DEG; C. Convection was a mechanism of minor importance for respiratory heat transfer. In contrast, respiratory evaporation was an effective means of thermoregulation for Holsteins in a hot environment. Mathematical models were developed to predict both the sensible and latent heat loss from the respiratory tract in Holstein cows under field conditions, based on measurements of the ambient temperature, and other models were developed to predict respiration rate, tidal volume, mass flow rate and expired air temperature as functions of the ambient temperature and other variables.