817 resultados para Moving least square
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Growth curves models provide a visual assessment of growth as a function of time, and prediction body weight at a specific age. This study aimed at estimating tinamous growth curve using different models, and at verifying their goodness of fit. A total number 11,639 weight records from 411 birds, being 6,671 from females and 3,095 from males, was analyzed. The highest estimates of a parameter were obtained using Brody (BD), von Bertalanffy (VB), Gompertz (GP,) and Logistic function (LG). Adult females were 5.7% heavier than males. The highest estimates of b parameter were obtained in the LG, GP, BID, and VB models. The estimated k parameter values in decreasing order were obtained in LG, GP, VB, and BID models. The correlation between the parameters a and k showed heavier birds are less precocious than the lighter. The estimates of intercept, linear regression coefficient, quadratic regression coefficient, and differences between quadratic coefficient of functions and estimated ties of quadratic-quadratic-quadratic segmented polynomials (QQQSP) were: 31.1732 +/- 2.41339; 3.07898 +/- 0.13287; 0.02689 +/- 0.00152; -0.05566 +/- 0.00193; 0.02349 +/- 0.00107, and 57 and 145 days, respectively. The estimated predicted mean error values (PME) of VB, GP, BID, LG, and QQQSP models were, respectively, 0.8353; 0.01715; -0.6939; -2.2453; and -0.7544%. The coefficient of determination (RI) and least square error values (MS) showed similar results. In conclusion, the VB and the QQQSP models adequately described tinamous growth. The best model to describe tinamous growth was the Gompertz model, because it presented the highest R-2 values, easiness of convergence, lower PME, and the easiness of parameter biological interpretation.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Estudo preliminar da influência do perímetro escrotal sobre a libido em touros jovens da raça Nelore
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O perímetro escrotal (PE) de 202 touros jovens da raça Nelore, sem experiência sexual prévia, classificados pela Associação Brasileira de Criadores de Zebu como superiores ou elite, foi medido aos 7, 12, 18 e 28 meses de idade, aproximadamente. Após a última medição, eles foram submetidos ao teste de libido e procedeu-se à colheita de sêmen por eletroejaculação, seguida de avaliação andrológica. As medidas do PE aos 7, 12, 18 e 28 meses foram de 18,30; 22,29; 27,54 e 33,26cm, respectivamente. Os coeficientes de correlação simples entre estas medidas variaram de 0,35 a 0,53. O coeficiente de correlação entre PE aos 28 meses e peso corporal na mesma idade foi de 0,43. A correlação entre a nota da libido e o perímetro escrotal medido aos l8 meses foi de 0,15 e entre aquela e o perímetro escrotal aos 28 meses foi de 0,13. Observou-se elevado crescimento do perímetro escrotal entre o 7º e 18º meses de idade. Utilizou-se o método de quadrados mínimos para analisar a libido, incluindo ano de nascimento como efeito fixo e como covariáveis os efeitos lineares da idade e peso no momento da avaliação e medidas de perímetro escrotal aos 7, l2, l8 e 28 meses. Cada covariável foi retida de forma seqüencial obtendo-se vários modelos de análises e as somas de quadrados foram decompostas de forma seqüencial e parcial. O ano de nascimento, a idade e o perímetro escrotal aos 18 meses de idade afetaram significativamente a libido. Os coeficientes de correlação entre a libido e concentração espermática, motilidade, peso e idade do animal no momento da avaliação foram de 0,34, 0,l6, 0,38 e 0,35, respectivamente.
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Esta pesquisa foi conduzida com o objetivo de avaliar o efeito da endogamia e suas possíveis influências sobre o crescimento de bovinos de corte. Foram utilizadas 27.406 observações de peso à desmama, padronizado aos 205 dias (PD), e 14.317 informações de peso ao ano, padronizado aos 365 dias (PA), de animais da raça Gir, no período de 1970 a 1995. As análises foram feitas pelo método dos quadrados mínimos, incluindo-se o efeito aleatório de grupo contemporâneo e os efeitos fixos de geração (discreto), idade da vaca ao parto e taxa de endogamia do bezerro e da vaca como variáveis contínuas, considerando-se os efeitos linear e quadrático. Apenas 11,65% das vacas, 19,84% dos touros e 9,23% dos bezerros da raça Gir estudados apresentaram algum grau de endogamia e as estimativas das médias de endogamia foram de pequena magnitude, constatando-se valores de 1,04; 0,96; e 1,66% para vacas, touros e bezerros, respectivamente. O efeito da endogamia do animal foi significativo e quadrático para as duas características estudadas. Os resultados mostraram depressão endogâmica para ambas as características (PD e PA). Recomenda-se evitar os acasalamentos, intencionalmente, endogâmicos e monitorar os acasalamentos com base no parentesco entre os indivíduos, visando manter baixas as taxas de endogamia.
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Neste trabalho foram estudados os efeitos de idade e peso sobre o perímetro escrotal (PE) de touros jovens da raça Nelore e estimados os fatores de correção (FC) do PE para esses efeitos. As informações utilizadas pertencem aos Registros de Produção da Associação Paraguaia dos Criadores de Nelore, obtidos entre 1986 e 1997, de 110 criatórios, totalizando 7458 observações. Os coeficientes de regressão que permitiram o cálculo dos FCs para o PE foram estimados pelo método dos quadrados mínimos, empregando-se um modelo que considerou o grupo contemporâneo (animais nascidos no mesmo ano, estação, rebanho, avaliados na mesma data e do mesmo grupo de manejo alimentar na desmama e no sobreano), o efeito linear da idade em dias e os efeitos linear e quadrático do peso aos 570 dias de idade (P570). O efeito da idade sobre o PE foi igual a 0,0383(±0,0024) cm/dia e do P570 sobre o PE corrigido para essa idade, 0,0708(±0,0049) cm/kg, efeito linear, e -0,0000413(±0,0000074) cm/kg², efeito quadrático. A idade e o peso do animal foram importantes fontes de variação a serem removidas do PE, como indicativo da precocidade sexual de touros de sobreano.
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The present work has as objective to present a method of project and implementation of controllers PID, based on industrial instrumentation. An automatic system of auto-tunning of controllers PID will be presented, for systems of first and second order. The software presented in this work is applied in controlled plants by PID controllers implemented in a CLP. Software is applied to make the auto-tunning of the parameters of controller PID of plants that need this tunning. Software presents two stages, the first one is the stage of identification of the system using the least square recursive algorithm and the second is the stage of project of the parameters of controller PID using the root locus algorithm. An important fact of this work is the use of industrial instrumentation for the accomplishment of the experiments. The experiments had been carried through in controlled real plants for controllers PID implemented in the CLP. Thus has not only one resulted obtained with theoreticians experiments made with computational programs, and yes resulted obtained of real systems. The experiments had shown good results gotten with developed software
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The control, automation and optimization areas help to improve the processes used by industry. They contribute to a fast production line, improving the products quality and reducing the manufacturing costs. Didatic plants are good tools for research in these areas, providing a direct contact with some industrial equipaments. Given these capabilities, the main goal of this work is to model and control a didactic plant, which is a level and flow process control system with an industrial instrumentation. With a model it is possible to build a simulator for the plant that allows studies about its behaviour, without any of the real processes operational costs, like experiments with controllers. They can be tested several times before its application in a real process. Among the several types of controllers, it was used adaptive controllers, mainly the Direct Self-Tuning Regulators (DSTR) with Integral Action and the Gain Scheduling (GS). The DSTR was based on Pole-Placement design and use the Recursive Least Square to calculate the controller parameters. The characteristics of an adaptive system was very worth to guarantee a good performance when the controller was applied to the plant
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GPS active networks are more and more used in geodetic surveying and scientific experiments, as water vapor monitoring in the atmosphere and lithosphere plate movement. Among the methods of GPS positioning, Precise Point Positioning (PPP) has provided very good results. A characteristic of PPP is related to the modeling and/or estimation of the errors involved in this method. The accuracy obtained for the coordinates can reach few millimeters. Seasonal effects can affect such accuracy if they are not consistent treated during the data processing. Coordinates time series analyses have been realized using Fourier or Harmonics spectral analyses, wavelets, least squares estimation among others. An approach is presented in this paper aiming to investigate the seasonal effects included in the stations coordinates time series. Experiments were carried out using data from stations Manaus (NAUS) and Fortaleza (BRFT) which belong to the Brazilian Continuous GPS Network (RBMC). The coordinates of these stations were estimated daily using PPP and were analyzed through wavelets for identification of the periods of the seasonal effects (annual and semi-annual) in each time series. These effects were removed by means of a filtering process applied in the series via the least squares adjustment (LSQ) of a periodic function. The results showed that the combination of these two mathematical tools, wavelets and LSQ, is an interesting and efficient technique for removal of seasonal effects in time series.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The separation methods are reduced applications as a result of the operational costs, the low output and the long time to separate the uids. But, these treatment methods are important because of the need for extraction of unwanted contaminants in the oil production. The water and the concentration of oil in water should be minimal (around 40 to 20 ppm) in order to take it to the sea. Because of the need of primary treatment, the objective of this project is to study and implement algorithms for identification of polynomial NARX (Nonlinear Auto-Regressive with Exogenous Input) models in closed loop, implement a structural identification, and compare strategies using PI control and updated on-line NARX predictive models on a combination of three-phase separator in series with three hydro cyclones batteries. The main goal of this project is to: obtain an optimized process of phase separation that will regulate the system, even in the presence of oil gushes; Show that it is possible to get optimized tunings for controllers analyzing the mesh as a whole, and evaluate and compare the strategies of PI and predictive control applied to the process. To accomplish these goals a simulator was used to represent the three phase separator and hydro cyclones. Algorithms were developed for system identification (NARX) using RLS(Recursive Least Square), along with methods for structure models detection. Predictive Control Algorithms were also implemented with NARX model updated on-line, and optimization algorithms using PSO (Particle Swarm Optimization). This project ends with a comparison of results obtained from the use of PI and predictive controllers (both with optimal state through the algorithm of cloud particles) in the simulated system. Thus, concluding that the performed optimizations make the system less sensitive to external perturbations and when optimized, the two controllers show similar results with the assessment of predictive control somewhat less sensitive to disturbances
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Molecular biology techniques are of help in genetic improvement since they permit the identification, mapping and analysis of polymorphisms of genes encoding proteins that act on metabolic pathways involved in economically interesting traits. The somatotrophic axis, which essentially consists of growth hormone releasing hormone (GHRH), growth hormone (GH), insulin-like growth factors I and II (IGF-I and IGF-II), and their associated binding proteins and receptors (GHRHR, GHR, IGF-IR and IGF-IIR), plays a key role in the metabolism and physiology of mammalian growth. The objectives of the present study were to estimate the allele and genotype frequencies of the IGF-I/SnaBI, IGF-IR/TaqI and GHRH/HaeIII gene polymorphisms in different genetic groups of beef cattle and to determine associations between these polymorphisms and growth and carcass traits. For this purpose, genotyping was performed on 79 Nellore animals, 30 Canchim (5/8 Charolais+3/8 Zebu) animals and 275 crossbred cattle originating from the crosses of Simmental (n=30) and Angus (n=245) sires with Nellore females. In the association studies, traits of interest were analyzed using the GLM procedure of SAS and least square means of the genotypes were compared by the Tukey test. Associations of IGF-I/SnaBI genotypes with body weight and subcutaneous backfat were significant (p < 0.05), and nearly significant for longissimus dorsi area (p=0.06), with the 1313 genotype being favorable compared to the AB genotype. No significant associations were observed between this polymorphism and weight gain or carcass yield (P > 0.05). The IGF-IR/TaqI and GHRH/HaeIII polymorphisms showed no association with production traits. (c) 2004 Elsevier B.V All rights reserved.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Several Brazilian commercial gasoline physicochemical parameters, such as relative density, distillation curve (temperatures related to 10%, 50% and 90% of distilled volume, final boiling point and residue), octane numbers (motor and research octane number and anti-knock index), hydrocarbon compositions (olefins, aromatics and saturates) and anhydrous ethanol and benzene content was predicted from chromatographic profiles obtained by flame ionization detection (GC-FID) and using partial least square regression (PLS). GC-FID is a technique intensively used for fuel quality control due to its convenience, speed, accuracy and simplicity and its profiles are much easier to interpret and understand than results produced by other techniques. Another advantage is that it permits association with multivariate methods of analysis, such as PLS. The chromatogram profiles were recorded and used to deploy PLS models for each property. The standard error of prediction (SEP) has been the main parameter considered to select the "best model". Most of GC-FID-PLS results, when compared to those obtained by the Brazilian Government Petroleum, Natural Gas and Biofuels Agency - ANP Regulation 309 specification methods, were very good. In general, all PLS models developed in these work provide unbiased predictions with lows standard error of prediction and percentage average relative error (below 11.5 and 5.0, respectively). (C) 2007 Elsevier B.V. All rights reserved.
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Foram avaliadas três formas de parcelas experimentais (retangular, uma linha - linear e parcela de uma árvore - STP) em testes clonais de Eucalyptus spp, utilizando-se três experimentos, cada um com 18 clones. Foram usados três modelos de análise (mínimos quadrados ordinários - ANOVA tradicional, modelos mistos com fator clone fixo ou com fator clone aleatório - REML/BLUP). Os dois primeiros modelos apresentaram resultados similares. Com REML/BLUP houve estreitamento das predições em relação às amplitudes obtidas com as médias, e essa redução foi proporcionalmente maior com parcelas retangulares e STP. O ordenamento dos clones também foi similar com esses dois tipos de parcelas. É provável que com parcelas STP haja um balanço compensatório das alocompetições, pois se pode trabalhar com maior número de repetições e menor custo. Portanto, com parcelas STP haverá economia de recursos e sem prejuízos para o Programa de Melhoramento Florestal.