Arquitetura multiagente para análise de dados

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Técnicas de análise multivariada com aplicações a dados de natureza biológica

A análise estatística multivariada, extensão da análise univariada, consiste num conjunto de técnicas estatísticas, aplicadas quando há diversas variáveis relacionadas simultaneamente, sendo todas elas, em princípio, consideradas importantes no fenômeno em estudo. É de grande aplicação a conjuntos de dados das mais diversas áreas do conhecimento, principalmente da área biológica. Seu desenvolvimento teve um grande impulso na primeira metade do século passado. Entretanto, devido a complexidade dos cálculos matemáticos, principalmente envolvendo operações com matrizes de altas ordens, as aplicações somente se popularizaram nos dias atuais, com o desenvolvimento dos computadores e aplicativos computacionais. Técnicas estudadas: distâncias multivariadas, componentes principais, análise fatorial, correlações canônicas, análise de correspondência, teste t² de Hotelling, análise de variância multivariada (Manova), teste de normalidade multivariada, igualdade de matrizes de variâncias e covariâncias para populações multinormais

Interface para classificação de dados por máquinas de vetores de suporte

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

Recebimento de dados GNSS via Internet em RTCM 3 e conversão para RINEX utilizando a plataforma J2ME

Changes are occurring worldwide, including the area of positioning using Global Navigation Satellite Systems in mobile devices such as mobile phones or laptops. This is due to the great improvement and availability of Internet services to these mobile devices. The accuracy and speed of data transmission for these devices makes the technology of sending / receiving data via an internet targeted for optimization. The optimization could allow obtaining, in real-time, coordinates (latitude, longitude and altitude) of suitable quality for users of GPS (Global Positioning System) devices that have wireless Internet access, such as those used to control the eet, locomotion, navigation, agriculture, etc. . The use of the protocol NTRIP (Networked Transport of RTCM via Internet Protocol) in GPS applications is growing every day. Applications are available in C, which creates an opportunity for development with a focus on multiplatform environments. In this context, we propose an application, implemented in a multiplatform environment and the use of NTRIP, able to run on a mobile device for receiving GNSS data

Integridade dos dados meteorológicos obtidos por duas estações meteorológicas automatizadas

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

Programa de erradicação da febre aftosa no estado de São Paulo: avaliação dos dados oficiais obtidos no período de 1997 a 2012

Pós-graduação em Medicina Veterinária - FCAV

Acesso a dados financeiros da gestão da saúde pública: uma análise do sítio do Datasus

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mapeamento de dados para sistema de informação de Pós-graduação

Pós-graduação em Ciência da Informação - FFC

A relação fala-escrita em dados produzidos em contexto digital

This paper aims to explain certain language phenomena remarkable for example in the Internet. These phenomena are popularly known as “internetês” in Brazilian Portuguese writing texts. A set of texts collected from chats was analyzed based on discoursive and phonological studies. The relationship between spoke and writing is seen as a distinctive character of heterogeneity of writing. In a particular way, the writing of nicknames in these digital interactions is analyzed. It is shown that enunciative complexity came from different linguistic information (phonological, morphological, semantics and enunciative ones). This study aims to contribute for general questions about oral/spoken and literacy/writing in digital context (but not just in those contexts).

Busca quântica de dados XML usando algoritmo de Grover

This paper presents a quantum search algorithm implementation with small modifications. The algorithm idea is to be hybrid, capable to run on classical systems and quantum systems. We present the concepts of quantum search and introduced a pseudo-framework able to generate code for classical computers (C++) and quantum computers (QCL). The algorithms were submitted to simulations, which resulted in a comparative study of the operation of Grover’s algorithm on both systems, carrying out searches in a mass of data in XML format files. As a result, we see very similar numbers between classical and quantum systems, this creates an expectation that the search in real quantum computers is much more efficient.

Eficiência das companhias aéreas brasileiras: uma análise envoltória de dados

Studies about efficiency have gained dimension, in Brazil, since the early 90’s. Same decade that the Civil Aviation System suffers important changes in terms of regulations. Such transformations have echoed effects currently, with some significant trend for international standards. This paper focuses on one of the agents from the Brazilian Civil Aviation System, the airlines companies, which aimed on analyze and evaluate both passengers and cargo air transport, by using data envelopment analysis (DEA), during the period of 2005 to 2010. The yearbooks of ANAC, corresponding at the period from 2005 to 2010, were used as data base in this present study. The technique was applied to 14 companies, which through Stepwise process of variables validation was possible to compose a compact, but complete model, that could translate the reality of companies. This model was composed by one output, Total Income, and by four inputs, Total Costs, Total Domestic Passenger, Total Cargo and Total International Passengers. However, this approach has some flaws. Therefore in order to remedy it, it was required to apply the method Frontier Inverted, one of the alternatives proposed in the literature, which ensured an improvement in the context of efficiencies due to biggest discrimination of airlines. As a result of the DEA-BCC process, oriented by output, TAM 2005 was considered the most efficient company, however GOL and Webjet companies concentrated in 2007 their worst levels

Controle fuzzy de um motor dc utilizando sistema de aquisição de dados e o matlab

The present work develops a fuzzy inference system to control the rotation speed of a DC motor available in Degem Kit. Therefore, it should use the fuzzy toolbox of Matlab in conjunction with the data acquisition board NI - USB - 6009, a National Instrument’s board. An introduction to fuzzy logic, the mathematical model of a DC motor and the operation of data acquisition board is presented first. Followed by the controller fuzzy model implemented using Simulink which is described in detail. Finally, the prototype is shown and the simulator results are presented

Controle de Acesso utilizando Arduino, banco de dados MySQL e LabVIEW

The search for more reliable security systems and information management of these systems is leading to a growing progress in new technologies investments that allow the implementation of equipment with a high level of reliability, but also have an agile and practical operation. This led people to turn increasingly looking for home automation systems, enterprise and industry for the automation and integration of their systems. The identification by radio frequency is very widespread today for ensuring both agility in handling records data, the reliability of their identification systems, which are increasingly advanced and less susceptible to fraud. Attached to this technology, the use of the database is always very important for the storage of information collected, the area where the MySQL platform is widely used. Using the open source Arduino platform for programming and manipulation of RFID module and LabVIEW software for the union of all these technologies and to develop a user-friendly interface, you can create a highly reliable access control and agility places a high turnover of people. This project aims to prove the advantages of using all these technologies working together, thus improving a flawed system effectively safety, cheaper and quicker

Análise da cintilação ionosférica no Brasil empregando GNSS e técnicas de mineração e visualização de dados

Pós-graduação em Ciências Cartográficas - FCT

Geração de indicadores de produção e citação científica em revistas de Ciência da Informação: estudo aplicado à base de dados BRAPCI

Pós-graduação em Ciência da Informação - FFC