Locating control points in aerial images with a multi-scale approach based on terrestrial image patches

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

Tecnologias de Informação e Comunicação no cotidiano dos adolescentes: enfoque no comportamento e na competências informacionais da geração Google

Introduction: Individuals born from the 1990’s to accompany technological change course and learn how to use the technological resources that have access before they even learn to read or write. In this sense, the literature considers the digital natives or even 'Google generation'. However, it has been questioned their skills to identify information needs and seeking and use of information in the most varied environments digital information available on the Web. Objectives: To characterize the behavior of information seeking in everyday life of a group of teenage students from a private school in Marilia, Sao Paulo. Methodology: A qualitative study with 30 adolescent students of a private school in Marilia, Sao Paulo. Data collection was accomplished at first by means of a questionnaire, based on the research of Hughes-Hussell and August (2007), containing questions about age, gender, hobbies and everyday tasks, and issues the use of computers and the internet, which allowed determination of the social, economic and cultural rights of respondents. Results: have focused on the use of Information and Communication Technologies (ICT) to search access and use information. It was suggested that the "Brotherhood of Informatics', an incentive for students to (re) learn the tools of digital communication and make appropriate use of the resources, products and services on the web to search and effective use of information compatible with their needs and that is tied to the ethical and responsible use of technology environments. Conclusions: The results arising from this study will continue through the continuation of the Confraternity of Computing, which became a "thermometer" on the use of digital information environments and the attitude of the students in front of Information and Communication Technologies in the College “Cristo Rei”.

Conhecendo o passado para planejar o futuro: um plano de relações públicas para a Associação Atlética Acadêmica Unesp Bauru, baseado em seu histórico institucional

This paper discusses issues related to the relationship of the Associação Atlética Acadêmica Unesp Bauru with stakeholders, its acquired image and the construction of this image throughout its history. Through a survey of former members, deepening interviews, image search analysis with campus students in 2011 and redemption of the entity's files entity is proposed a public relations plan aimed at improving the position of Atlética strategically with the new demands of its stakeholders. Thus the work aims to analyze the image of the members based on their institutional memory and students regarding the entity and thus propose a plan that is as faithful as possible to the dualistic views of these two public, improving the processes and actions of the Association

A hybrid image restoration algorithm based on Projections onto Convex Sets and Harmony Search

Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search (HS) to find out near-optimal solutions in a Projections Onto Convex Sets-based formulation to solve this problem. The experiments using HS and four of its variants have shown that we can obtain near-optimal and faster restored images than other evolutionary optimization approach. © 2013 IEEE.

Feature selection through gravitational search algorithm

In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimization behavior of GSA together with the speed of Optimum-Path Forest (OPF) classifier in order to provide a fast and accurate framework for feature selection. Experiments on datasets obtained from a wide range of applications, such as vowel recognition, image classification and fraud detection in power distribution systems are conducted in order to asses the robustness of the proposed technique against Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and a Particle Swarm Optimization (PSO)-based algorithm for feature selection.

Molecular modeling databases: A new way in the search of protein targets for drug development

DBMODELING is a relational database of annotated comparative protein structure models and their metabolic, pathway characterization. It is focused on enzymes identified in the genomes of Mycobacterium tuberculosis and Xylella fastidiosa. The main goal of the present database is to provide structural models to be used in docking simulations and drug design. However, since the accuracy of structural models is highly dependent on sequence identity between template and target, it is necessary to make clear to the user that only models which show high structural quality should be used in such efforts. Molecular modeling of these genomes generated a database, in which all structural models were built using alignments presenting more than 30% of sequence identity, generating models with medium and high accuracy. All models in the database are publicly accessible at http://www.biocristalografia.df.ibilce.unesp.br/tools. DBMODELING user interface provides users friendly menus, so that all information can be printed in one stop from any web browser. Furthermore, DBMODELING also provides a docking interface, which allows the user to carry out geometric docking simulation, against the molecular models available in the database. There are three other important homology model databases: MODBASE, SWISSMODEL, and GTOP. The main applications of these databases are described in the present article. © 2007 Bentham Science Publishers Ltd.

Image quality evaluation of chest for computed radiography

The daily-to-day of medical practice is marked by a constant search for an accurate diagnosis and therapeutic assessment. For this purpose the doctor serves up a wide variety of imaging techniques, however, the methods using ionizing radiation still the most widely used because it is considered cheaper and above all very efficient when used with control and quality. The optimization of the risk-benefit ratio is considered a major breakthrough in relation to conventional radiology, though this is not the reality of computing and digital radiology, where Brazil has not established standards and protocols for this purpose. This work aims to optimize computational chest radiographs (anterior-posterior projection-AP). To achieve this objective were used a homogeneous phantoms that simulate the characteristics of absorption and scattering of radiation close to the chest of a patient standard. Another factor studied was the subjective evaluation of image quality, carried out by visual grading assessment (VGA) by specialists in radiology, using an anthropomorphic phantom to identify the best image for a particular pathology (fracture or pneumonia). Quantifying the corresponding images indicated by the radiologist was performed from the quantification of physical parameters (Detective Quantum Efficiency - DQE, Modulation Transfer Function - MTF and Noise Power Spectrum - NPS) using the software MatLab®. © 2013 Springer-Verlag.

Optimizing feature selection through binary charged system search

Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a exhaustive search. In this paper we propose a new nature-inspired feature selection technique based on the Charged System Search (CSS), which has never been applied to this context so far. The wrapper approach combines the power of exploration of CSS together with the speed of the Optimum-Path Forest classifier to find the set of features that maximizes the accuracy in a validating set. Experiments conducted in four public datasets have demonstrated the validity of the proposed approach can outperform some well-known swarm-based techniques. © 2013 Springer-Verlag.

Usabilidade na web: o usuário como agente-facilitador no desenvolvimento de interfaces de home pages

Pós-graduação em Design - FAAC

Uma análise sobre a avaliação emocional de web site por similaridade e por contiguidade

Pós-graduação em Design - FAAC

Sistema WEB para gerenciamento de informações agrícolas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Envolvimento dos usuários no processo de inovação por meio da web 2.0: um estudo de caso na indústria automobilística

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Recursos tecno-metodológicos para descrição e recuperação de informações na Web

Pós-graduação em Ciência da Informação - FFC

Uso da Web na ampliação da transparência pública: análise de Conselhos de Alimentação Escolar de municípios paulistas

Pós-graduação em Ciência da Informação - FFC