858 resultados para Orientação na diversidade
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Image acquisition systems based on multi-head arrangement of digital frame cameras, such as the commercial systems DMC, UltraCam, besides others, are attractive alternatives enabling larger imaging area when compared to a single frame camera. Considering that in these systems, cameras are tightly attached to an external mount, it is assumed that relative position and orientation between cameras are stable during image acquisition and, consequently, these constraint can be included in the calibration step. This constraint is acceptable because estimates of the relative orientation (RO) parameters between cameras, from previously estimated exterior orientation parameters, present higher and significant deviations than the expected physical variations, due to error propagation. In order to solve this problem, this work presents an approach based on simultaneous calibration of two or more cameras using constraints that state that the relative rotation matrix and the distance between the cameras head are stable. Experiments with images acquired by an arrangement of two Hasselblad H2D cameras were accomplished, without and with the mentioned constraints. The experiments showed that the calibration process with RO constraints allows better results than the approach based on single camera calibration, provided that the estimation has included only images with good target distribution.
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In this work a method is proposed to allow the indirect orientation of images using photogrammetric control extracted through integration of data derived from Photogrammetry and Light Detection and Ranging (LiDAR) system. The photogrammetric control is obtained by using an inverse photogrammetric model, which allows the projection of image space straight lines onto the object space. This mathematical model is developed based on the intersection between the collinearity-based straight line and a DSM of region, derived from LiDAR data. The mathematical model used in the indirect orientation of the image is known as the model of equivalent t planes. This mathematical model is based on the equivalence between the vector normal to the projection plane in the image space and to the vector normal to the rotated projection plane in the object space. The goal of this work is to verify the quality, efficiency and potential of photogrammetric control straight lines obtained with proposed method applied to the indirect orientation of images. The quality of generated photogrammetric control was statistically available and the results showed that proposed method is promising and it has potential for the indirect orientation of images.
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This research brings into focus the relationship between the work Rhetoric, from Aristotle, and the conceptions of ethics and practical wisdom of the philosopher from Stageira. Accordingly, it attempts to show that Aristotle's Rhetoric was produced to guide the construction and orientation of oratory passions of the Greek man, setting it as a reference for practices aimed at social ordering of the polis. In other words, the Aristotelian Rhetoric, designed by the author as the study of what is persuasive in every speech, is not composed with the meaning of persuasion at any cost, in another sense it is conceived by Aristotle as a useful knowledge for the improvement eupraxic (the good act in accordance with the fair and true). This research finds that such work has been prepared by Stagirite a time of strong social transformations and upheavals in ancient Greece: The skepticism expanded, with each person wanting to live their own businesses, and especially in Athens, a city that served as intellectual and political reference, there was a lack of collective spirit. In this tumultuous social environment, Aristotle, with a culture of Greeks eager Trusted reviews and socially shareable in the field of verisimilitude, sought with his Rhetoric, contributing to the development of ethics and political science; referrals for legal and organization of inter-social relations in varied environments, including seeking to provide knowledge about human passions and emotional status of active citizens in deliberative meetings
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Neste artigo apresentamos a análise de interpretações de estudantes em trabalhos desenvolvidos em duas disciplinas de cursos de Licenciatura em Física, nas quais realizamos atividades bastante distintas, uma envolvendo a leitura e outra a observação pelos licenciandos. Buscamos compreender falas escritas pelos estudantes como parte dessas atividades, e procuramos evidenciar a diversidade de interpretações e a relevância desse trabalho para a formação inicial. O apoio teórico em que nos sustentamos foi a análise de discurso na vertente originada na França por Michel Pêcheux. A consideração da não transparência da linguagem, e as noções de condições de produção, memória discursiva e repetição, bem como alguns aportes sobre possíveis papéis da observação na construção científica, contribuíram para a compreensão de discursos escritos pelos estudantes. Mostramos a diversidade de interpretações dos licenciados: ao opinarem sobre a possibilidade ou não de se trabalhar a física moderna e contemporânea no ensino médio, depois de lerem um texto envolvendo esse tema, e ao redigirem um texto sobre a observação na pesquisa científica.
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Stroke is a neurological dysfunction of vascular origin that causes physical impairments and disabilities. Brazil leads the statistics stroke mortality among Latin American countries, demonstrating still be a neglected disease in this country. The incidence is related to risk factors and still is great misinformation in our country about stroke, treatment and prophylaxis. The aim of this study was to assess the degree of knowledge about stroke and patients need to use educational booklet for physiotherapy. The sample consisted of 53 patients, 22 females and 31 males, mean age 56.2 ± 10.9 years. Patients were evaluated by completing questionnaires, observing the socio-demographic and clinical aspects, neurological assessment, functional assessment, knowledge of pathology and presenting educational booklet. The data were analyzed using the chi-square test. According to the results, it was observed that the patients had not enough knowledge about the terminology, complications and warning signs of stroke, were not aware and did not perform the proper positioning of the limb and transfers, however, were aware and performed the stretching maneuvers. This reveals the need to implement policies that lead to information about stroke population. Following discharge from outpatient physical therapy using educational booklets with guidelines on positioning, stretching exercises and transfer is important in functional rehabilitation and encouraging independence of the individual affected by stroke
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Brazil is one of the major centers of diversity for polyploid cotton plants; these plants belong to the genus Gossypium, which has three known species: G. hirsutum, G. barbadense and G. mustelinum. The Northeast is the only region where the three species occur, the last group being endemic. Northeast s cotton plants can be important sources of variability for genetic breeding. It is believed that great part of local diversity is being lost, due to economic, political, cultural and agricultural problems. In an attempt to mitigate this loss and delineate conservation strategies it is necessary to know how the species are found where they occur. The objective was to characterize and determine how plants are maintained in situ in the states of Maranhão, Piauí, Ceará, Rio Grande do Norte and Paraíba at the beginning of the XXI century. The in situ characterization of G. hirsutum and G. barbadense was conducted through structured interviews with the cotton plants owners and through the analysis of the environment. The data were collected during expeditions undertaken between the years 2004 to 2005. Twenty-two plants were collected in the state of Paraíba, forty-four in the state of Rio Grande do Norte, one hundred and forty-six in the state of Ceará, forty in the state of Maranhão and ninety-one plants in the state of Piauí. All plants collected in the states of Paraíba and Rio Grande do Norte belonged to moco type. Moco cotton plants also predominated in the other states, representing 92%, 62% and 78% of plants collected in Ceará, Piauí and Maranhão, respectively. The other cotton plants collected belong to the species G. barbadense. The cotton plants were found in situ as dooryard plants, roads side, feral populations, cultivation or local varieties. Great part were dooryard plants (45.2%), being major in Piauí and Maranhão. Cultivation predominated in Ceará; in Rio Grande do Norte feral populations were the most frequent and, in Paraíba, local varieties. The maintenance of moco plants is related, mainly, to the phytotherapic domestic use (20.9%) and to confection of lamp wicks (29.7%). Few inhabitants in Paraíba, Rio Grande do Norte, Piauí and none in Maranhão used harvest the plants, storage the seeds or gin; however, in Ceará, 40.5% of owners affirmed that they harvested and commercialized the fiber. It was found that the maintenance of species is dependent of the fragile cultural habits of local inhabitants, therefore the maintenance in situ is not a suitable way to conservation of genetic resources. The efforts must be directed to the continuity of collections, maintenance and characterization ex situ
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Although some individual techniques of supervised Machine Learning (ML), also known as classifiers, or algorithms of classification, to supply solutions that, most of the time, are considered efficient, have experimental results gotten with the use of large sets of pattern and/or that they have a expressive amount of irrelevant data or incomplete characteristic, that show a decrease in the efficiency of the precision of these techniques. In other words, such techniques can t do an recognition of patterns of an efficient form in complex problems. With the intention to get better performance and efficiency of these ML techniques, were thought about the idea to using some types of LM algorithms work jointly, thus origin to the term Multi-Classifier System (MCS). The MCS s presents, as component, different of LM algorithms, called of base classifiers, and realized a combination of results gotten for these algorithms to reach the final result. So that the MCS has a better performance that the base classifiers, the results gotten for each base classifier must present an certain diversity, in other words, a difference between the results gotten for each classifier that compose the system. It can be said that it does not make signification to have MCS s whose base classifiers have identical answers to the sames patterns. Although the MCS s present better results that the individually systems, has always the search to improve the results gotten for this type of system. Aim at this improvement and a better consistency in the results, as well as a larger diversity of the classifiers of a MCS, comes being recently searched methodologies that present as characteristic the use of weights, or confidence values. These weights can describe the importance that certain classifier supplied when associating with each pattern to a determined class. These weights still are used, in associate with the exits of the classifiers, during the process of recognition (use) of the MCS s. Exist different ways of calculating these weights and can be divided in two categories: the static weights and the dynamic weights. The first category of weights is characterizes for not having the modification of its values during the classification process, different it occurs with the second category, where the values suffers modifications during the classification process. In this work an analysis will be made to verify if the use of the weights, statics as much as dynamics, they can increase the perfomance of the MCS s in comparison with the individually systems. Moreover, will be made an analysis in the diversity gotten for the MCS s, for this mode verify if it has some relation between the use of the weights in the MCS s with different levels of diversity
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OBJETIVO: Implantar um programa de Escola da Postura para pacientes com lombalgia crônica. MÉTODOS: Foram avaliados 41 sujeitos (46,81 ± 13,35 anos), de ambos os gêneros, com idade entre 25-65 anos que possuíam dor lombar há mais de 6 meses. Inicialmente, foi realizado a avaliação da qualidade de vida (Medical Outcomes Study 36- Item Short-Form Health Survey- SF-36) e capacidade funcional (Oswestry Low Back Pain Disability Questionnaire - ODQ). em seguida, todos os sujeitos participaram de cinco encontros semanais de 60 minutos, nos quais foram desenvolvidos as capacitações teórico-práticas. Após uma semana, os sujeitos foram reavaliados. Os dados obtidos nas avaliações foram analisados utilizando o teste estatístico não-paramétrico de Wilcoxon, com nível de significância de 5% (p<0,05). RESULTADOS: Foi observada melhora significativa na capacidade funcional (ODQ, p<0,0001). em relação à qualidade de vida observou-se melhora significativa nos domínios capacidade funcional (p=0,0016), dor (p=0,0035), estado geral de saúde (p<0,0001), vitalidade (p<0,0001), aspectos sociais (p<0,0001) e saúde mental (p=0,0007). Nos itens aspectos físicos e aspectos emocionais não foi observada diferença significativa. CONCLUSÃO: O programa Escola da Postura elaborado foi capaz de melhorar a qualidade de vida e capacidade funcional dos participantes.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Multi-classifier systems, also known as ensembles, have been widely used to solve several problems, because they, often, present better performance than the individual classifiers that form these systems. But, in order to do so, it s necessary that the base classifiers to be as accurate as diverse among themselves this is also known as diversity/accuracy dilemma. Given its importance, some works have investigate the ensembles behavior in context of this dilemma. However, the majority of them address homogenous ensemble, i.e., ensembles composed only of the same type of classifiers. Thus, motivated by this limitation, this thesis, using genetic algorithms, performs a detailed study on the dilemma diversity/accuracy for heterogeneous ensembles
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Committees of classifiers may be used to improve the accuracy of classification systems, in other words, different classifiers used to solve the same problem can be combined for creating a system of greater accuracy, called committees of classifiers. To that this to succeed is necessary that the classifiers make mistakes on different objects of the problem so that the errors of a classifier are ignored by the others correct classifiers when applying the method of combination of the committee. The characteristic of classifiers of err on different objects is called diversity. However, most measures of diversity could not describe this importance. Recently, were proposed two measures of the diversity (good and bad diversity) with the aim of helping to generate more accurate committees. This paper performs an experimental analysis of these measures applied directly on the building of the committees of classifiers. The method of construction adopted is modeled as a search problem by the set of characteristics of the databases of the problem and the best set of committee members in order to find the committee of classifiers to produce the most accurate classification. This problem is solved by metaheuristic optimization techniques, in their mono and multi-objective versions. Analyzes are performed to verify if use or add the measures of good diversity and bad diversity in the optimization objectives creates more accurate committees. Thus, the contribution of this study is to determine whether the measures of good diversity and bad diversity can be used in mono-objective and multi-objective optimization techniques as optimization objectives for building committees of classifiers more accurate than those built by the same process, but using only the accuracy classification as objective of optimization