92 resultados para Data base management.
em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"
Resumo:
This Project aims to develop methods for data classification in a Data Warehouse for decision-making purposes. We also have as another goal the reduction of an attribute set in a Data Warehouse, in which a given reduced set is capable of keeping the same properties of the original one. Once we achieve a reduced set, we have a smaller computational cost of processing, we are able to identify non-relevant attributes to certain kinds of situations, and finally we are also able to recognize patterns in the database that will help us to take decisions. In order to achieve these main objectives, it will be implemented the Rough Sets algorithm. We chose PostgreSQL as our data base management system due to its efficiency, consolidation and finally, it’s an open-source system (free distribution)
Resumo:
Geographic Information Systems (GIS) integrate the technologies related to Geoprocessing, with the ability to manipulate georeferenced information through data storage, management and analysis. One of the GIS applications is the generation of Digital Elevation Models (DEM) as a result of rebuilding the elevation of a region using computation tools and artificial representation. This paper presents the DEM created from a point base in two computational frameworks with different structures (vector and raster), comparing the contour lines generated from these models with the original contour lines from analog cartographic base. It was observed that one of the generated models presented some discrepancies related to real space for both GIS structures. However, using constrained Delaunay's triangulation in raster GIS a digital elevation model was generated with contour lines quite close to the original ones, with satisfactory results. A 3-D terrain representation was also created offering a very useful tool for analysis.
Resumo:
The need for a program of work focused on the nuclear data evaluation of chargedparticle reactions has arisen recently due to their increasing use in cancer therapy. This project, as part of that program, has as its main goal the selection and comparison of nuclear data for nuclear reactions induced by protons at low to intermediate energies (E < 250 MeV). The methodology of selection was based on the data base EXFOR and the compilations of radionuclide production cross sections of N. Sobolevsky. For the purpose of comparison and evaluation, theoretical calculations with the reaction model code EMPIRE-II are being used. © 2009 American Institute of Physics.
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Pós-graduação em Zootecnia - FCAV
Resumo:
Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA
Resumo:
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA
Resumo:
O jogo de empresas Mercado Virtual foi desenvolvido para mediar o processo ensino-aprendizagem na área de tomada decisão e gestão de empresas e tem um banco de dados que armazena as decisões dos alunos. Os dados nele armazenados foram analisados em relação ao balanceamento de capacidade, objetivo de lucro e uso de recursos financeiros da empresa e foram encontradas incoerências entre os conteúdos pertinentes ao modelo e as decisões dos alunos. Elas foram classificadas como lacunas de aprendizado. Com o objetivo de analisar se as mesmas se repetem entre alunos do Programa de Mestrado Engenharia de Produção da UNESP de Bauru e Mestrado Integrado em Engenharia Industrial e Gestão da Uminho de Guimarães, Portugal, foram realizados dois experimentos, um em cada grupo. Para realizá-los utilizou-se o jogo Mercado Virtual e uma planilha de dimensionamento da empresa nos dois locais. A Sala de Estudos, os indicadores e o questionário de pesquisa da opinião foram utilizados somente em Portugal. Os resultados mostraram que o jogo é capaz de evidenciar as diferenças de domínio de conteúdo nos dois grupos e, também, que estas diferenças estão associadas aos projetos dos cursos. Sendo uma pesquisa exploratória, os experimentos foram realizados considerando-se somente os controles do jogo. Por isso, propõe-se a realização de pesquisas adicionais combinando controle sobre algumas das variáveis relacionadas do uso do jogo e atuação sobre aprendizagem dos alunos na forma de entrevistas e pesquisas não estruturadas. Conforme previsto, a pesquisa mostrou que os jogos podem ser utilizados com objetivos de aprendizagem mais amplos, considerando-se a avaliação indireta e cruzada sobre as decisões tomadas pelos alunos, como é o caso dos indicadores. Outra contribuição importante da pesquisa refere-se ao uso de jogos de empresas sob condições pouco controladas, ou seja, não houve...
Resumo:
The objective of this research is to analyze the scientific production about „Metric Studies‟. It was used the data base BRAPCI (data base of articles and journals in Information Science) to outline the authors and institutions that produced more. As research procedure it was analyzed the articles with the keywords that represent the area of metric studies such as: Bibliometric, Cientometric, Informetric, Webmetric and Patentometric between 1991 and 2011. It was analyzed the variable in study, building the collaborative network through the software Pajek. From these results, it was possible to delineate the tendencies presented in the scientific community on this subject from the data base BRAPCI.
Resumo:
Currently, in Brazil, the quantity and quality of new types of wastes, discarded without criteria in urban areas, has been responsible for considerable impacts on public health and the environment. According to a report prepared by the Institute of Applied Economic Research (IPEA), the country loses about U.S. $ 8 billion annually, due lack of waste recycling, which go directly into landfills or dumps. Among these solid wastes are waste electrical and electronic equipment (WEEE), whose characteristics are complex, by having in its composition substances of high value-added and other health hazards which require different treatment of household waste. Aiming to fill the gap in Brazilian environmental legislation, on 02/08/2010, was sanctioned the National Policy Solid Waste (Law No. 12,305), already regulated on 23/12/2010 (Decree No 7404), whose based on the following principles:reduction of waste generation and toxicity of shared responsibility, proper planning management, social inclusion of waste pickers and sustainable production and consumption. Given the above, this work presented here, aims generally present a diagnosis of the current situation of electronic waste generated in the Faculty of Engineering, Campus Guaratinguetá, FEG / UNESP, to provide data for management and management of these waste, based on sustainability, the economic losses and minimizing environmental impacts and public health related to the flow and the improper disposal of these wastes
Resumo:
With the increase of stakeholders and consequently increase of amount of nancial transaction the study of news investment strategies in the stock market with data mining techniques has been the target of important researches. It allows that great historical data base to be processed and analysed looking for pattern that can be used to take a decision in investments. With the idea of getting pro t more than the real indexs' gain, we propose a strategy method of transactions using rules built by algorithm classi cation. For that, diary historical data of Ibovespa index and Petrobras stocks are organized and processed to nding the most important attribute that act decisively when taking a investment decision.To test the accuracy of proposed rules, a non real portfolio management is created, showing the decisions' performance over the real index and stocks' performance. Following the proposed rules, the results show that the strategy of investment give me back a high return that Stock market's return. The exclusive characteristics of algorithms maximize the gain inside the analysed time allowing to determine the techniques' return and the number of the days necessary to double the initial investment. The best classi er applied on the time series and its use on the propose investments strategy will demand 104 days to double the initial capital