979 resultados para Escore quadrático de probabilidade
Resumo:
O estudo objetivou avaliar translocação orgânica, índices fisiológicos da análise de crescimento e rendimento do óleo essencial de Mentha piperita L. cultivada em solução nutritiva com variação dos níveis de N, P, K e Mg. Assim, foram avaliados os quatro tratamentos contendo 50% N, P, K, 25% Mg; 50% N, P, K, Mg; 65%N, 50%P, 25%K, 100% Mg e 100% N, P, K, Mg. A translocação orgânica foi avaliada por meio da determinação da razão de massa foliar (RMF) e da distribuição de massa seca para os diferentes órgãos. Os índices fisiológicos razão de área foliar (RAF), área foliar específica (AFE), taxa assimilatória líquida (TAL) e taxa de crescimento relativo (TCR) derivadas que compõem a análise de crescimento foram estimados pelo programa ANACRES, após ajuste exponencial quadrático da área foliar e massa seca de lâminas foliares e total da planta em relação ao tempo. O rendimento do óleo essencial, em porcentagem, foi calculado após extração da parte aérea por hidrodestilação. As plantas submetidas ao tratamento com nível completo de nutrientes (100%N/P/K/Mg) exportaram com menor eficiência o material orgânico a partir da folha e a RMF mostrou queda mais lenta, devido à retenção desse material por mais tempo no local de sua produção. Além disso, não apresentaram melhor produtividade e as curvas da TAL e TCR mostraram quedas mais lentas. As plantas submetidas ao tratamento com 65%N/50%P/25%K/100%Mg revelaram adequada exportação de matéria orgânica da folha para caule e pecíolos, conforme demonstra a RMF e a distribuição de massa seca para esses órgãos. Revelaram ainda a RAF mais elevada no inicio do desenvolvimento e mais baixa aos 94 DAT, indicando sombreamento das folhas como resultado de seu crescimento. A AFE dessas plantas mostrou menor variação durante o ciclo, refletindo espessura mais constante de suas folhas. A TAL e a TCR apresentaram curvas decrescentes, com quedas bem acentuadas em relação às demais plantas. Todos esses índices indicam melhor produtividade das plantas submetidas ao tratamento 65%N/50%P/25%K/100%Mg, que também apresentaram rendimento de óleo essencial, em média, maior durante o ciclo. Conclui-se que a redução de 35% de N, 50% de P, 75% de K (65%N/50%P/25%K/100%Mg) é indicada para o cultivo e extração de óleo essencial de M. piperita.
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Wavelet coding has emerged as an alternative coding technique to minimize the fading effects of wireless channels. This work evaluates the performance of wavelet coding, in terms of bit error probability, over time-varying, frequency-selective multipath Rayleigh fading channels. The adopted propagation model follows the COST207 norm, main international standards reference for GSM, UMTS, and EDGE applications. The results show the wavelet coding s efficiency against the inter symbolic interference which characterizes these communication scenarios. This robustness of the presented technique enables its usage in different environments, bringing it one step closer to be applied in practical wireless communication systems
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Foi avaliado o esverdeamento em tubérculos de cultivares de batata utilizando dois métodos de determinação (escala visual de notas e índice spad). Utilizou-se o delineamento experimental inteiramente casualizado, com quatro repetições, em esquema fatorial 18 x 5, constituído por cultivares (Agata, Apuã (IAC-5977), Aracy (IAC-2), IAC Aracy Ruiva, Asterix, Bintje, Dali, Clone IAC-6090, Itararé (IAC-5986), Laguna, Remarka, Liseta, Mondial, Novita, Oscar, Picasso, Santana e Solide) e tempo de armazenamento (5; 10; 15; 20 e 25 dias). Todas as cultivares apresentaram desempenho linear e crescente pelo índice spad, com excecão da Bintje, com spad médio de 1,23. Pela escala visual, as cultivares apresentaram desempenho quadrático e linear. A cultivar Bintje é resistente ao esverdeamento determinado pelos dois métodos. O índice spad pode ser utilizado para determinação do esverdeamento do 10º ao 25º dia de armazenamento.
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Bayesian networks are powerful tools as they represent probability distributions as graphs. They work with uncertainties of real systems. Since last decade there is a special interest in learning network structures from data. However learning the best network structure is a NP-Hard problem, so many heuristics algorithms to generate network structures from data were created. Many of these algorithms use score metrics to generate the network model. This thesis compare three of most used score metrics. The K-2 algorithm and two pattern benchmarks, ASIA and ALARM, were used to carry out the comparison. Results show that score metrics with hyperparameters that strength the tendency to select simpler network structures are better than score metrics with weaker tendency to select simpler network structures for both metrics (Heckerman-Geiger and modified MDL). Heckerman-Geiger Bayesian score metric works better than MDL with large datasets and MDL works better than Heckerman-Geiger with small datasets. The modified MDL gives similar results to Heckerman-Geiger for large datasets and close results to MDL for small datasets with stronger tendency to select simpler network structures
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The use of plant regulators that stimulate root growth can increase phosphorus uptake by upland rice. The objective of this study was to evaluate shoot and root growth of upland rice fertilized with different phosphorus doses with and without biostimulant. The experiment was carried out in greenhouse in the Faculdade de Ciencias Agronomicas-UNESP, in Botucatu-SP. The treatments consisted of six phosphorus doses applied in sowing (0, 12,5, 25, 50, 100 and 200 mg dm(-3)), with and without Stimulate (R) applied in the seeds (cv. Primavera). The plants were grown for 78 days and then cut at soil level to evaluate leaf area and leaves and collar dry matter. Root samples that were harvested on the same day had their root diameter and dry matter evaluated. The experimental design was the completely randomized, with three replications, arranged as a factorial 2x6. Variance analysis and regression were used to data evaluation. Linear and quadratic equations were adjusted at a probability level of 5%, using those with higher determination coefficient (R(2)). The increase on the phosphorus dose contributed to the lower matter production and leaf area of the plants when the biostimulant was applied. For shoot phosphorus accumulation and root evaluations, the same behavior was observed. It was concluded that the use of Stimulate (R) in seeds, for fitomass production or root system evaluation, was only efficient in low phosphorus doses.
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The competitiveness of the trade generated by the higher availability of products with lower quality and cost promoted a new reality of industrial production with small clearances. Track deviations at the production are not discarded, uncertainties can statistically occur. The world consumer and the Brazilian one are supported by the consumer protection code, in lawsuits against the products poor quality. An automobile is composed of various systems and thousands of constituent parts, increasing the likelihood of failure. The dynamic and security systems are critical in relation to the consequences of possible failures. The investigation of the failure gives us the possibility of learning and contributing to various improvements. Our main purpose in this work is to develop a systematic, specific methodology by investigating the root cause of the flaw occurred on an axle end of the front suspension of an automobile, and to perform comparative data analyses between the fractured part and the project information. Our research was based on a flaw generated in an automotive suspension system involved in a mechanical judicial cause, resulting in property and personal damages. In the investigations concerning the analysis of mechanical flaws, knowledge on materials engineering plays a crucial role in the process, since it enables applying techniques for characterizing materials, relating the technical attributes required from a respective part with its structure of manufacturing material, thus providing a greater scientific contribution to the work. The specific methodology developed follows its own flowchart. In the early phase, the data in the records and information on the involved ones were collected. The following laboratory analyses were performed: macrography of the fracture, micrography with SEM (Scanning Electron Microscope) of the initial and final fracture, phase analysis with optical microscopy, Brinell hardness and Vickers microhardness analyses, quantitative and qualitative chemical analysis, by using X-ray fluorescence and optical spectroscopy for carbon analysis, qualitative study on the state of tension was done. Field data were also collected. In the analyses data of the values resulting from the fractured stock parts and the design values were compared. After the investigation, one concluded that: the developed methodology systematized the investigation and enabled crossing data, thus minimizing diagnostic error probability, the morphology of the fracture indicates failure by the fatigue mechanism in a geometrically propitious location, a tension hub, the part was subjected to low tensions by the sectional area of the final fracture, the manufacturing material of the fractured part has low ductility, the component fractured in an earlier moment than the one recommended by the manufacturer, the percentages of C, Si, Mn and Cr of the fractured part present values which differ from the design ones, the hardness value of the superior limit of the fractured part is higher than that of the design, and there is no manufacturing uniformity between stock and fractured part. The work will contribute to optimizing the guidance of the actions in a mechanical engineering judicial expertise
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Pearl millet is recommended to produce dry matter for no-tillage system, as forage or for grain yield. The sowing time affects the crop development; thus, it can affect seed quality and initial storage conditions. The present research had as objective to evaluate the effects of sowing time on pearl millet seeds quality during the storage. Pearl millet seeds from twelve monthly sowing times were stored in environmental conditions, with no temperature and relative humidity control, and evaluated by seed moisture content, germination and vigor (first count of the germination test and electrical conductivity) for 0, 27 and 42 months of storage. The completely random design was employed, as a factorial experiment 12 x 3 (sowing time x storage time), with four replications. Means were compared by Tukey test (p <= 0.05). Pearl millet seeds produced in September resulted in the production of seeds with high germination and vigor, evaluated by the electrical conductivity test. The capacity of quality conservation of pearl millet seeds, for different storage times, is related to crop sowing time.
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The biological control of the plants diseases, caused by fungi, is carried out using others organisms (predator, parasite or pathogen). Among the possible agents of biocontrol, a fungus has been highlighting as promising and it is known as Clonostachys rosea, asexual form of Bionectria ochroleuca. For that, it is necessary the in vitro production of spores of this fungus. In this study were tested several culture media to select those with better conidia production. The study was conducted at Plant Protection Division, in the Plant Production Department, FCA - UNESP, Botucatu campus, São Paulo state, Brazil. We used the isolated CCR64 (Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-CNPMA). The means of crops were: BDA; Oats-Agar; Mazeina-Agar; Rice-Agar; V8-5%; V8-10%; V8-20%; TJ-5 %; TJ-10, TJ-20%. The sporulation of the fungus in different culture media was estimated at 8 days after of the incubation. The data were analyzed using method of comparing averages, using the Tukey test, at 5% probability, and the data processed, using (X + 1) 0.5 transformation. All culture media tested were able to produce conidia. It was found that the best culture media for production of conidia of Bionectria ochroleuca is the TJ-5%, followed by TJ-20%, with an sporulation average of 3,5 x 106 conidia / ml.
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The oil industry`s need to produce with maximum efficiency, not to mention the safety and the environment aspects, encourages the optimization of processes. It makes them look for a level of excellence in acquisition of equipment, ensuring the quality without prejudice security of facilities and peoples. Knowing the reliability of equipment and that this stands for a system is fundamental to the production strategy to seeks the maximum return on investment. The reliability analysis techniques have been increasingly applied in the industry as strategy for predicting failures likelihood ensuring the integrity of processes. Some reliability theories underlie the decisions to use stochastic calculations to estimate equipment failure. This dissertation proposes two techniques associating qualitative (through expertise opinion) and quantitative data (European North Sea oil companies fault database, Ored) applied on centrifugal pump to water injection system for secondary oil recovery on two scenarios. The data were processed in reliability commercial software. As a result of hybridization, it was possible to determine the pump life cycle and what impact on production if it fails. The technique guides the best maintenance policy - important tool for strategic decisions on asset management.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The aim of this study is to create an artificial neural network (ANN) capable of modeling the transverse elasticity modulus (E2) of unidirectional composites. To that end, we used a dataset divided into two parts, one for training and the other for ANN testing. Three types of architectures from different networks were developed, one with only two inputs, one with three inputs and the third with mixed architecture combining an ANN with a model developed by Halpin-Tsai. After algorithm training, the results demonstrate that the use of ANNs is quite promising, given that when they were compared with those of the Halpín-Tsai mathematical model, higher correlation coefficient values and lower root mean square values were observed
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One of the current major concerns in engineering is the development of aircrafts that have low power consumption and high performance. So, airfoils that have a high value of Lift Coefficient and a low value for the Drag Coefficient, generating a High-Efficiency airfoil are studied and designed. When the value of the Efficiency increases, the aircraft s fuel consumption decreases, thus improving its performance. Therefore, this work aims to develop a tool for designing of airfoils from desired characteristics, as Lift and Drag coefficients and the maximum Efficiency, using an algorithm based on an Artificial Neural Network (ANN). For this, it was initially collected an aerodynamic characteristics database, with a total of 300 airfoils, from the software XFoil. Then, through the software MATLAB, several network architectures were trained, between modular and hierarchical, using the Back-propagation algorithm and the Momentum rule. For data analysis, was used the technique of cross- validation, evaluating the network that has the lowest value of Root Mean Square (RMS). In this case, the best result was obtained for a hierarchical architecture with two modules and one layer of hidden neurons. The airfoils developed for that network, in the regions of lower RMS, were compared with the same airfoils imported into the software XFoil
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The petroleum industry, in consequence of an intense activity of exploration and production, is responsible by great part of the generation of residues, which are considered toxic and pollutants to the environment. Among these, the oil sludge is found produced during the production, transportation and refine phases. This work had the purpose to develop a process to recovery the oil present in oil sludge, in order to use the recovered oil as fuel or return it to the refining plant. From the preliminary tests, were identified the most important independent variables, like: temperature, contact time, solvents and acid volumes. Initially, a series of parameters to characterize the oil sludge was determined to characterize its. A special extractor was projected to work with oily waste. Two experimental designs were applied: fractional factorial and Doehlert. The tests were carried out in batch process to the conditions of the experimental designs applied. The efficiency obtained in the oil extraction process was 70%, in average. Oil sludge is composed of 36,2% of oil, 16,8% of ash, 40% of water and 7% of volatile constituents. However, the statistical analysis showed that the quadratic model was not well fitted to the process with a relative low determination coefficient (60,6%). This occurred due to the complexity of the oil sludge. To obtain a model able to represent the experiments, the mathematical model was used, the so called artificial neural networks (RNA), which was generated, initially, with 2, 4, 5, 6, 7 and 8 neurons in the hidden layer, 64 experimental results and 10000 presentations (interactions). Lesser dispersions were verified between the experimental and calculated values using 4 neurons, regarding the proportion of experimental points and estimated parameters. The analysis of the average deviations of the test divided by the respective training showed up that 2150 presentations resulted in the best value parameters. For the new model, the determination coefficient was 87,5%, which is quite satisfactory for the studied system
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Para avaliar o efeito da combinação de teores de fósforo na semente com doses de fósforo aplicadas via solo sobre as características químicas e fisiológicas de semente de feijão, foram avaliadas sementes das cultivares Carioca Precoce e IAC-Carioca Tybatã, produzidas em cultivo da seca. Na produção das sementes utilizou-se o delineamento experimental em blocos casualizados em esquema fatorial 3x3, correspondente a três teores de fósforo na semente (baixo, médio e alto) e três doses de fósforo, na forma de superfosfato triplo, aplicadas no sulco de semeadura (zero, 90 e 150 kg P2O5 . ha-1), totalizando nove tratamentos para cada cultivar, com cinco repetições. Foram determinados o teor de água e as características químicas (teores de proteína, açúcares total, N, P, K, Ca, Mg, S, Cu, Fe, Mn e Zn) e fisiológicas da semente (germinação e vigor). Os dados obtidos foram submetidos à análise de variância e as médias comparadas pelo teste Tukey, a 5% de probabilidade. A qualidade fisiológica da semente não é favorecida pelos teores de fósforo na semente e no solo, embora esses ocasionem algumas alterações nos teores de nutrientes da semente.
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O objetivo do trabalho foi estudar a concentração da solução de tetrazólio e o período de coloração do teste para a avaliação do potencial fisiológico de sementes de mamoneira (Ricinus communis L.), padronizando a nomenclatura das cores observadas nas sementes após a coloração. Os tratamentos de concentração da solução de tetrazólio e períodos de coloração estudados foram: 0,075% e 0,1% por 120, 180 e 240 minutos, 0,2% por 60, 120 e 180 minutos, 0,5% por 60, 90 e 120 minutos e 1,0% por 30, 60 e 90 minutos. Os resultados foram comparados com os obtidos nos testes de germinação. A coloração das sementes após o teste de tetrazólio, em cada tratamento, foi avaliada mediante comparação com as fichas de cor do catálogo de Munsell, determinando-se a porcentagem de sementes observada em cada cor. O delineamento experimental foi o inteiramente casualizado e a comparação de médias realizada pelo teste de Tukey a 5% de probabilidade. Para avaliar o potencial fisiológico pelo teste de tetrazólio, as sementes de mamoneira devem ser imersas na solução de tetrazólio na concentração de 0,2% por 120 minutos, a 35ºC. Nesse tratamento, as sementes viáveis após a coloração na solução de tetrazólio apresentaram predominantemente as cores rosa e rosa-escuro em suas estruturas essenciais, portanto essas podem ser consideradas como as cores características para o teste de tetrazólio em sementes de mamoneira.