936 resultados para Classificação tipológica


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Over the last decades changes have occurred in communication within and between enterprises, made easier by technologies suchas E-commerce, Internet, ERP systems and remote meetings and there was a rapid progress in network technology, which has changed the way business is done. A standardized way to offer services over the internet is using web services. Web services are a kind of remote procedure call and are generally used to integrate systems, independent of language, both client and server. It is common to use several web services run in sequence to perform a business process. To this type of process, gives the name of workflow. Thus, Web services are the primary components of workflows. A tool that provides a way of visualizing the behavior of a workflow can assist the administrator and is required. The present work presents the development of a tool that allows the administrator to classify visually services components and evaluate their importance in the final performance of a workflow. As proof of concept we used several virtual servers and computers where each computer has received a set of web services. A proxy was added between each call of workflows collecting relevant information and storing them in a database for later analysis. The analysis was based on Quality of Service parameters

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In this project the Pattern Recognition Problem is approached with the Support Vector Machines (SVM) technique, a binary method of classification that provides the best solution separating the data in the better way with a hiperplan and an extension of the input space dimension, as a Machine Learning solution. The system aims to classify two classes of pixels chosen by the user in the interface in the interest selection phase and in the background selection phase, generating all the data to be used in the LibSVM library, a library that implements the SVM, illustrating the library operation in a casual way. The data provided by the interface is organized in three types, RGB (Red, Green and Blue color system), texture (calculated) or RGB + texture. At last the project showed successful results, where the classification of the image pixels was showed as been from one of the two classes, from the interest selection area or from the background selection area. The simplest user view of results classification is the RGB type of data arrange, because it’s the most concrete way of data acquisition

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Paediatric diagnostic radiology can be considered as a separate specialty and with distinct characteristics of the radiology applied in adult patients. This in reason of the variability in the anatomical structures size and bigger sensitivity of tissues. The literature present in its majority methodologies for segmentation and tissue classification in adult patients, and works on tissue quantification are rare. This work had for objective the development of a biological tissue classifier and quantifier algorithm, from histograms, and that converts the quantified average thickness of these tissues for its respective simulator materials. The results will be used in the optimization process of paediatrics images, in future works, since these patients are frequently over exposed to the radiation in the repeated attempts of if getting considered good quality radiographic images. The developed algorithm was capable to read and store the name of all the archives, in the operational system, to filter artifacs, to count and quantify each biological tissues from the histogram of the examination, to obtain the biological tissues average thicknesses and to convert this value into its respective simulator material. The results show that it is possible to distinguish bone, soft, fat and pulmonary tissues from histograms of tomographic examinations of thorax. The quantification of the constituent materials of anthropomorphic phantom made by the algorithm, compared with the data of literature shows that the biggest difference was of 21,6% for bone. However, the literature shows that variations of up to 30% in bone thickness do not influence of significant form in the radiographic image quality. The average thicknesses of biological tissues, quantified for paediatrics patients, show that one phantom can simulate patients with distinct DAP ranges, since variations... (Complete abstract click electronic access below)

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As plantas apresentam moléculas que detectam a luz, entre elas estão os fitocromos que detectam mudanças na qualidade da luz nas regiões de vermelho (V) e vermelho-extremo (VE). O fitocromo age no crescimento das plantas possibilitando-as perceber o sombreamento por outras plantas, o que pode ocasionar no processo de estiolamento, ou seja, alongamento do caule. Assim, conforme aumenta o sombreamento, a razão V:VE diminui. Nas plantas de sol, quanto maior a proporção de VE, maior a taxa de estiolamento, enquanto que as plantas de sombra mostram pouca ou nenhuma redução na taxa de alongamento dos caules. Na sucessão florestal as plantas podem ser classificadas como pioneiras, sendo aquelas dependentes de luz e intolerantes à sombra, e as de transição ou clímax, que são tolerantes à sombra. Assim, este trabalho teve o intuito de analisar o processo de estiolamento de plântulas de espécies arbóreas nativas selecionadas, mantidas em condições de luz diferentes e correlacionar com a classe seral correspondente citada na literatura. As seguintes espécies foram analisadas: Bixa orellana, Caesalpinia peltophoroides, Dalbergia nigra, Erythrina speciosa, Eugenia uniflora, Hevea brasiliensis, Hymenaea courbaril, Licania tomentosa, Pachira aquatica, Piptadenia gonoacantha, Psidium guajava, Schizolobium parahyba. Todos os experimentos foram desenvolvidos no jardim experimental da UNESP de Rio Claro. As espécies foram expostas a seis condições luminosas diferentes, com razão V:VE de: 0,1; 0,19; 0,21; 0,35; 1,15 e 1,17. E radiação solar incidente de: 3,16UM; 44,78UM; 27,7UM; 73,54UM; 1987,00UM; 1453,00UM. Foram tiradas medidas do comprimento dos hipocótilos e epicótilos. Posteriormente foram realizadas análises estatísticas com nível de significância de 5%. As espécies consideradas pioneiras foram D. nigra e S. parahyba. E as espécies classificadas como não pioneiras foram:... (Resumo completo, clicar acesso eletrônico abaixo)

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Pós-graduação em Engenharia Civil - FEIS

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This article aims to discuss the evaluation metrics adopted by Capes in the evaluation process of national graduate programs in the field of the Human Sciences, especially with respect to the classifications of scientific journals and books.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)