944 resultados para Non-linear multiple regression
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Objetivou-se com este trabalho, desenvolver modelos de programação não-linear para sistematização de terras, aplicáveis para áreas com formato regular e que minimizem a movimentação de terra, utilizando o software GAMS para o cálculo. Esses modelos foram comparados com o Método dos Quadrados Mínimos Generalizado, desenvolvido por Scaloppi & Willardson (1986), sendo o parâmetro de avaliação o volume de terra movimentado. Concluiu-se que, ambos os modelos de programação não-linear desenvolvidos nesta pesquisa mostraram-se adequados para aplicação em áreas regulares e forneceram menores valores de movimentação de terra quando comparados com o método dos quadrados mínimos.
Resumo:
This work presents a modelling and identification method for a wheeled mobile robot, including the actuator dynamics. Instead of the classic modelling approach, where the robot position coordinates (x,y) are utilized as state variables (resulting in a non linear model), the proposed discrete model is based on the travelled distance increment Delta_l. Thus, the resulting model is linear and time invariant and it can be identified through classical methods such as Recursive Least Mean Squares. This approach has a problem: Delta_l can not be directly measured. In this paper, this problem is solved using an estimate of Delta_l based on a second order polynomial approximation. Experimental data were colected and the proposed method was used to identify the model of a real robot
Resumo:
Slugging is a well-known slugging phenomenon in multiphase flow, which may cause problems such as vibration in pipeline and high liquid level in the separator. It can be classified according to the place of its occurrence. The most severe, known as slugging in the riser, occurs in the vertical pipe which feeds the platform. Also known as severe slugging, it is capable of causing severe pressure fluctuations in the flow of the process, excessive vibration, flooding in separator tanks, limited production, nonscheduled stop of production, among other negative aspects that motivated the production of this work . A feasible solution to deal with this problem would be to design an effective method for the removal or reduction of the system, a controller. According to the literature, a conventional PID controller did not produce good results due to the high degree of nonlinearity of the process, fueling the development of advanced control techniques. Among these, the model predictive controller (MPC), where the control action results from the solution of an optimization problem, it is robust, can incorporate physical and /or security constraints. The objective of this work is to apply a non-conventional non-linear model predictive control technique to severe slugging, where the amount of liquid mass in the riser is controlled by the production valve and, indirectly, the oscillation of flow and pressure is suppressed, while looking for environmental and economic benefits. The proposed strategy is based on the use of the model linear approximations and repeatedly solving of a quadratic optimization problem, providing solutions that improve at each iteration. In the event where the convergence of this algorithm is satisfied, the predicted values of the process variables are the same as to those obtained by the original nonlinear model, ensuring that the constraints are satisfied for them along the prediction horizon. A mathematical model recently published in the literature, capable of representing characteristics of severe slugging in a real oil well, is used both for simulation and for the project of the proposed controller, whose performance is compared to a linear MPC
Resumo:
The production of roof tiles in the state of Rio Grande do Norte accounts for around 60% of the total of ceramic pieces produced. There is a need for investment to improve quality and productivity, thereby promoting technological innovations. Accordingly, the aim of this study is to determine the effect of kaolin, potassium feldspar and quartz in two standard formulations, as well as the effect of sintering temperature on the technological properties of linear firing shrinkage, water absorption and bending rupture stress, by fitting the statistical model and using multiple linear regression to assess the relationship between technological properties and independent variables. The raw materials were characterized using the following techniques: X-ray fluorescence (XRF), X-ray diffraction (XRF), rational analysis (RA), differential thermal analysis (DTA) and granulometric analysis (GA). The test specimens were compacted by uniaxial pressure (25 MPa), dried in a stove at 110 ºC for 24 hours and sinterized at 850 ºC, 950 ºC and 1050 ºC and held isothermal for 30 minutes. The results obtained indicate that the addition of kaolin to two standard formulations (M and R) promoted a reduction in water absorption values and an increase in bending rupture stress values. The sintering temperatures for group M that resulted in the lowest linear firing shrinkage and water absorption values were 850 ºC and 950 ºC, respectively, and the highest bending rupture stress values were reached at a temperature of 950 ºC. In the case of group R, the sintering temperature that obtained the lowest water absorption and linear firing shrinkage values was 850 ºC, and the highest bending rupture stress values were attained at a temperature of 1050 ºC. This work explains the statistical approach used to fit the model that describes the relationship between the technological properties and percentage of kaolin, quartz and feldspar, as well as the models that enable predictions, provided that the lower and upper limits of the percentage of clay minerals, flux and quartz used in this study are respected. Statistica 6 software was used and results were obtained by stepwise forward regression
Resumo:
Objetivou-se neste trabalho avaliar diferentes períodos de controle e de convivência de uma comunidade de plantas daninhas na cultura da batata 'Atlantic'. O experimento foi realizado no município de Botucatu-SP, e o delineamento experimental utilizado foi de blocos ao acaso com quatro repetições. Os tratamentos constituíram-se de seis períodos de controle, nos quais a cultura foi mantida livre da comunidade de plantas daninhas e após cada período, as plantas daninhas foram deixadas crescer livremente; e de seis períodos de convivência, nos quais a cultura foi mantida na presença da comunidade de plantas daninhas e após cada período, as plantas daninhas foram eliminadas até a colheita. Os períodos foram de 7, 14, 21, 28, 35 e 42 dias após o plantio dos tubérculos, além de uma testemunha mantida sempre livre de plantas daninhas e outra mantida sempre na presença dessas plantas. Foram identificadas 9 famílias e 15 espécies de plantas daninhas, com destaque para Bidens pilosa, Galinsoga parviflora,Brachiaria plantaginea,Commelina benghalensis e Digitaria horizontalis. Os resultados de produção de tubérculos ajustaram-se ao modelo de regressão não-linear: y = 8,907+(17,722/[1+(x/16,865)-8,412]), (R² = 0,963*) - equação para os períodos de controle e y = 5,728+(24,789/[1+(x/39,292)2,247 ]), (R² = 0,947*) - equação para os períodos de convivência. Assim, considerando perda de 5% na produtividade como aceitável, foram determinados o período anterior à interferência (PAI), que foi de 20 dias; o período total de prevenção à interferência (PTPI), de 21 dias; e o período crítico de prevenção da interferência (PCPI), de apenas de um dia, dos 20 aos 21 dias após o plantio dos tubérculos.
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
Background: Obesity impairment to the pulmonary function related to the magnitude of adiposity and is associated with excessive daytime sleepiness (EDS) and snoring, among others symptoms of respiratory disorders related to sleep. It is possible that obese individuals with excessive daytime sleepiness may make changes in lung function on spirometry monitored during the day as a consequence of fragmented sleep or episodes of nocturnal hypoventilation that cause respiratory and changes that can persist throughout the day. The combination of these findings alone sleepiness observed by subjective scales with pulmonary function in obese patients is unknown. Objective: To assess the influence of EDS and snoring on pulmonary function in morbidly obese and distinguish between different anthropometric markers, the snoring and sleepiness which the best predictors of spirometric function and respiratory muscle strength and endurance of these patients. Methods: We evaluated 40 morbidly obese markers on the anthropometric, spirometric respiratory variables, maximal inspiratory and expiratory pressures (MIP and MEP) and maximal voluntary ventilation (MVV) and the measured excessive daytime sleepiness (the Epworth sleepiness scale) and snoring (snoring scale of Stanford). The data were treated when the differences between the groups of obese patients with and without sleepiness, whereas the anthropometric variables, respiratory and snoring. Pearson's correlation was performed, and multiple regression analysis assessed the predictors of pulmonary function. For this we used the software SPSS 15.0 for windows and p <0.05. Results: 39 obese patients were included (28 women), age 36.92+11.97y, body mass index (BMI) 49.3+5.1kg/m², waist-hip ratio (WHR) 0.96+0.07 and neck circumference (NC) 44.1+4.2 cm. Spirometric values and respiratory pressures were up 80% of predicted values, except for endurance (MVV <80%). Obese with EDS have lower tidal volume. Positive correlation was observed between BMI and EDS, EDS and NC and between snoring and BMI, and negative correlation between EDS and tidal volume (TV), and between snoring and snoring FVC and FEV1. In linear regression the best predictor of pulmonary function was snoring, followed by NC. NC has more obese with higher strength (MEP, p = 0.031) and endurance (MVV p = 0.018) respiratory muscle. Conclusion: Obese with EDS tend to have lower TV. In addition, snoring and NC can better predict pulmonary function in obese when compared with other anthropometric markers or EDS. Obese patients with higher NC tend to have greater capacity for overall strength of respiratory muscles, but may have low muscle endurance
Resumo:
The non-ohmic and dielectric properties as well as the dependence on the microstructural features of CaCu(3)Ti(4)O(12)/CaTiO(3) ceramic composites obtained by conventional and microwave sintering were investigated. It was demonstrated that the non-ohmic and dielectric properties depend strongly on the sintering conditions. It was found that the non-linear coefficient reaches values of 65 for microwave-sintered samples and 42 for samples sintered in a conventional furnace when a current density interval of 1-10 mA cm(-2) is considered. The non-linear coefficient value of 65 is equivalent to 1500 for samples sintered in the microwave if a current interval of 5-30 mA is considered as is shortly discussed by Chung et al (2004 Nature Mater. 3 774). Due to a high non-linear coefficient and a low leakage current (90 mu A) under both processing conditions, these samples are promising for varistor applications. The conventionally sintered samples exhibit a higher relative dielectric constant at 1 kHz (2960) compared with the samples sintered in the microwave furnace (2100). At high frequencies, the dielectric constant is also larger in the samples sintered in the conventional furnace. Depending on the application, one or another synthesis methodology is recommended, that is, for varistor applications sintered in a microwave furnace and for dielectric application sintered in a conventional furnace.
Resumo:
The degradation behaviour of SnO(2)-based varistors (SCNCr) due to current pulses (8/20 mu s) is reported here for the first time in comparison with the ZnO-based commercial varistors (ZnO). Puncturing and/or cracking failures were observed in ZnO-based varistors possessing inferior thermo-mechanical properties in comparison with that found in a SCNCr system free of failures. Both systems presented electric degradation related to the increase in the leakage current and decrease in the electric breakdown field, non-linear coefficient and average value of the potential barrier height. However, it was found that a more severe degradation occurred in the ZnO-based varistors concerning their non-ohmic behaviour, while in the SCNCr system, a strong non-ohmic behaviour remained after the degradation. These results indicate that the degradation in the metal oxide varistors is controlled by a defect diffusion process whose rate depends on the mobility, the concentration of meta-stable defects and the amount of electrically active interfaces. The improved behaviour of the SCNCr system is then inferred to be associated with the higher amount of electrically active interfaces (85%) and to a higher energy necessary to activate the diffusion of the specific defects.
Resumo:
In this work, the quantitative analysis of glucose, triglycerides and cholesterol (total and HDL) in both rat and human blood plasma was performed without any kind of pretreatment of samples, by using near infrared spectroscopy (NIR) combined with multivariate methods. For this purpose, different techniques and algorithms used to pre-process data, to select variables and to build multivariate regression models were compared between each other, such as partial least squares regression (PLS), non linear regression by artificial neural networks, interval partial least squares regression (iPLS), genetic algorithm (GA), successive projections algorithm (SPA), amongst others. Related to the determinations of rat blood plasma samples, the variables selection algorithms showed satisfactory results both for the correlation coefficients (R²) and for the values of root mean square error of prediction (RMSEP) for the three analytes, especially for triglycerides and cholesterol-HDL. The RMSEP values for glucose, triglycerides and cholesterol-HDL obtained through the best PLS model were 6.08, 16.07 e 2.03 mg dL-1, respectively. In the other case, for the determinations in human blood plasma, the predictions obtained by the PLS models provided unsatisfactory results with non linear tendency and presence of bias. Then, the ANN regression was applied as an alternative to PLS, considering its ability of modeling data from non linear systems. The root mean square error of monitoring (RMSEM) for glucose, triglycerides and total cholesterol, for the best ANN models, were 13.20, 10.31 e 12.35 mg dL-1, respectively. Statistical tests (F and t) suggest that NIR spectroscopy combined with multivariate regression methods (PLS and ANN) are capable to quantify the analytes (glucose, triglycerides and cholesterol) even when they are present in highly complex biological fluids, such as blood plasma
Resumo:
Due to its physico-chemical and biological properties, related to the abundance and low cost of raw material, chitosan has been recognized as a material of wide application in various fields, such as in drug delivery systems. Many of these properties are associated with the presence of amino groups in its polymer chain. A proper determination of these amino groups is very important, in order to properly specify if a given chitosan sample can be used in a particular application. Thus, in this work, initially, a comparison between the determination of the deacetylation degree by conductometry and elemental analysis was carried out using a detailed analysis of error propagation. It was shown that the conductometric analysis resulted in a simple and safe method for the determining the degree of deacetylation of chitosan. Subsequently, experiments were performed to monitor and characterize the adsorption of tetracycline on chitosan particles through kinetic and equilibrium studies. The main models of kinetics and adsorption isotherms, widely used to describe the adsorption on wastewater treatment systems and the drug loading, were used to treat the experimental data. Firstly, it was shown that an apparent linear t/q(t) × t relationship did not imply in a pseudo-second-order adsorption kinetics, differently of what has been repeatedly reported in the literature. It was found that this misinterpretation can be avoided by using non-linear regression. Finally, the adsorption of tetracycline on chitosan particles was analyzed using insights obtained from theoretical analysis, and the parameters generated were used to analyze the kinetics of adsorption, the isotherm of adsorption and to ropose a mechanism of adsorption
Resumo:
Textile activity results in effluents with a variety of dyes. Among the several processes for dye-uptaking from these wastewaters, sorption is one of the most effective methods, chitosan being a very promising alternative for this end. The sorption of Methyl Orange by chitosan crosslinked particles was approached using equilibrium and kinetic analyses at different pH s. Besides the standard pseudo-order analysis normally effectuated (i.e. pseudo-first-order and pseudo-second-order), a novel approach involving a pseudo-nth-order kinetics was used, nbeing determined via non-linear regression, using the Levenberg-Marquardt method. Zeta potential measurements indicated that electrostatic interactions were important for the sorption process. Regarding equilibrium experiments, data were well fitted to a hybrid Langmuir-Freundlich isotherm, and estimated Gibbs free energy of adsorption as a function of mass of dye per area of chitosan showed that the process of adsorption becomes more homogeneous as the pH of the continuous phase decreased. Considering the kinetics of sorption, although a pseudo-nth-order description yielded good fits, a kinetic equation involving diffusion adsorption phenomena was found to be more consistent in terms of a physicochemical description of the sorption process
Resumo:
OBJETIVO: identificar fatores de risco para a macrossomia fetal na população de gestantes portadoras de diabete ou hiperglicemia diária. MÉTODOS: estudo retrospectivo, tipo caso-controle, incluindo 803 pares de mães e recém-nascidos desta população específica, distribuídos em dois grupos: macrossômicos (casos, n=242) e não macrossômicos (controles, n=561). Foram comparadas variáveis relativas à idade, paridade, peso e índice de massa corporal (IMC), ganho de peso (GP), antecedentes de diabete, hipertensão arterial e tabagismo, tipo e classificação do diabete e indicadores do controle glicêmico no terceiro trimestre. As médias foram avaliadas pelo teste F e as variáveis categorizadas foram submetidas à análise univariada, utilizando-se o teste do chi². Os resultados significativos foram incluídos no modelo de regressão múltipla, para identificação do risco independente de macrossomia, considerando-se OR, IC 95% e valor de p. Para todas as análises foi estabelecido o limite de significância estatística de 5% (p<0,05). RESULTADOS: observou-se associação significativa entre macrossomia e GP maior que 16 kg, IMC >25 kg/m², antecedentes pessoais, obstétricos e, especificamente, o de macrossomia, classificação nos grupos de Rudge (IB e IIA + IIB), média glicêmica (MG) >120 mg/dL e média de glicemia pós-prandial >130 mg/dL no terceiro trimestre. Na análise de regressão múltipla, o GP >16 kg (OR=1,79; IC 95%: 1,23-1,60), o IMC >25 kg/m² (OR=1,83; IC 95%: 1,27-2,64), o antecedente pessoal de diabete (OR=1,56; IC 95%: 1,05-2,31) e de macrossomia (OR=2,37; IC 95%: 1,60-3,50) e a MG >120 mg/dL no terceiro trimestre (OR=1,78; IC 95%: 1,13-2,80) confirmaram risco independente para macrossomia nestas gestações de risco. CONCLUSÃO: o GP superior a 16 kg, o IMC maior ou igual a 25 kg/m², a MG superior a 120 mg/dL no terceiro trimestre e a presença de antecedentes pessoais de diabete ou de macrossomia foram identificados como fatores de risco para macrossomia fetal em gestantes portadoras de diabete ou de hiperglicemia diária.
Resumo:
OBJETIVO: Pesquisar um fator de correção para avaliação do erro refrativo sem a utilização da cicloplegia. MÉTODOS: Foram estudados 623 pacientes (1.246 olhos), de ambos os sexos, com idade entre 3 e 40 anos. As refratometrias estática e dinâmica foram obtidas usando-se o refrator automático Shin-Nippon Accuref-K 9001. A cicloplegia foi obtida com a instilação de uma gota de colírio ciclopentolato a 1%, com refratometria estática 30 minutos após. Os dados foram submetidos à análise estatística usando a técnica do modelo de regressão linear e modelo de regressão múltipla do valor dióptrico com e sem cicloplegia, em função da idade. RESULTADOS: A correlação entre valores dióptricos sem e com cicloplegia quanto ao erro astigmático variou de 81,52% a 92,27%. Quanto ao valor dióptrico esférico, a correlação foi menor (53,57% a 87,78%). O mesmo se observou em relação ao eixo do astigmatismo (28,86% a 58,80%). O modelo de regressão múltipla em função da idade mostrou coeficiente de determinação múltiplo maior para a miopia (86,38%) e astigmatismo (79,79%). O menor coeficiente foi observado para o eixo do astigmatismo (17,70%). CONCLUSÃO: Avaliando-se os erros refrativos com e sem cicloplegia, observou-se alta correlação nas ametropias cilíndricas. Foram desenvolvidas equações matemáticas como fator de correção para refratometrias dos pacientes sem cicloplegia, portadores de ametropias cilíndricas e esféricas.