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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Development of a Machine to Control the Level of Washing in Panca Chili Seeds

De La Cruz, Anthony, Cardenas, Jaime, Vinces, Leonardo 01 January 2021 (has links)
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / The washing of Panca chili seeds requires innovative solutions that allow controlling this process. It is necessary to handle variables (conductivity, pH, colorimetry) in the face of the challenge of working with small seeds. At present, there are no machines that are dedicated to the washing of this type of seeds, since in many companies this work is done manually, which is not the one indicated because this technique cannot guarantee homogeneity in the seed washing. In addition, direct handling of this type of seeds can cause irritation to the eyes and skin of the person who maintains contact with the seeds. That is why, it is proposed to make a machine to scale by means of a motorized rotary agitator inside a tank, in order to guarantee the homogeneity of the mixture when washing seeds. The present work will allow to determine, among two different types of agitators (axial and radial), which type of agitator is the most efficient in the washing of seeds of Panca chili, to achieve this objective the measurement of pH and electrical conductivity to the water will be carried after the mixture, after stirring. Finally, the analysis of the tests performed on the mixture obtained and washed by each type of agitator allowed to identify the turbine-type radial agitator, like the one that obtained greater efficiency in the washing of seeds, with respect to the helical agitator and pallets, designed for development of this work, in turn, could also confirm that this type of palette with the conductivity control allows to guarantee the homogeneity of the mixture during washing. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. / Revisión por pares
2

Uma abordagem bayesiana para estudo estatístico e geoestatístico de estimativas de salindade do solo utilizando sensor de indução eletromagnética / A boarding bayesiana for statistical study and geoestaistic of estimates of salinity of the ground using sensory of electromagnetic induction

PESSOA, Antônio Lopes 24 February 2006 (has links)
Submitted by (ana.araujo@ufrpe.br) on 2016-05-20T15:59:30Z No. of bitstreams: 1 Antonio Lopes Pesoa.pdf: 686455 bytes, checksum: 89c64469a23f829cb322108723a916c9 (MD5) / Made available in DSpace on 2016-05-20T15:59:30Z (GMT). No. of bitstreams: 1 Antonio Lopes Pesoa.pdf: 686455 bytes, checksum: 89c64469a23f829cb322108723a916c9 (MD5) Previous issue date: 2006-02-24 / This study analyzed the existing relationship among measurements of soil apparent electrical conductivity in an alluvial valley in the Agreste region of Pernambuco State and its spatial variability in the subsurface. The soil apparent electric conductivity was investigated through an electromagnetic induction EM 38 equipment. The readings have been carried out both in the vertical and horizontal modes. The measurements have been analyzed through the classic descriptive statistics as well as geostatistics and bayesian approach. The statistical analyses had shown that the data of apparent electric conductivity had adjusted to a normal distribution, presenting a high space variability for the horizontal mode and an average space variability for the way of vertical operation. In order to allow the use of the geostatistical methodology, the experimental semivariogram was constructed, and fitted to a theoretical model. Considering the spatial dependence mapping of the salinized areas have been performed. The best theoretical models for the vertical mode and for the horizontal operation were the gaussian model and the exponential model, through the crossed validation and using the Akaike’s Information Criterion .The bayesian approach focused the spatial predictionrelating the method of the maximum likelihood with the functions of prioris distributions for each parameter, considering the uncertainty associated to each one of these distributions. It was verified that the adjusted semivariograms had not presented significant differences in the validation of the geostatistics methodology and in the bayesian approach. / Esta dissertação analisou a relação existente entre medidas de condutividade elétrica aparente de um solo aluvial da região Agreste do Estado de Pernambuco,e a sua variabilidade espacial na camada subsuperficial. A condutividade elétrica aparente do solo foi investigada através de equipamento de indução eletromagnética EM 38. As leituras efetuadas com o EM 38 foram tanto no modo vertical como no modo horizontal. As medidas obtidas em campo foram analisadas através da estatística descritiva clássica, bem como através das metodologias geoestatística e abordagem bayesiana. As análises estatísticas mostraram que os dados de condutividade elétrica aparente se ajustaram a uma distribuição normal a apresentaram uma alta variabilidade espacial para o modo de operação horizontal e uma média variabilidade espacial para o modo de operação vertical. Através da metodologia geoestatística foi construído o semivariograma experimental que, posteriormente, foi ajustado a um modelo teórico. O melhor ajuste de modelo teórico foi obtido, tanto para o modo de operação vertical como para o modo de operação horizontal, para o modelo gaussiano e para o modelo exponencial, efetuada através da validação cruzada edo Critério de Informação de Akaike. A partir da dependência espacial, foi elaborado o mapeamento das áreas salinizadas. A abordagem bayesiana focalizou a predição espacial, relacionando o método da máxima verossimilhança com as funções de distribuições prioris de cada parâmetro, considerando o grau de incerteza associado a cada uma dessas distribuições. Verificou-se que os semivariogramas ajustados não apresentaram diferenças significativas na validação da metodologia geoestatística e na abordagem bayesiana.

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