Regularization of discontinuous vector fields on R-3 via singular perturbation

Singular perturbations problems in dimension three which are approximations of discontinuous vector fields are studied in this paper. The main result states that the regularization process developed by Sotomayor and Teixeira produces a singular problem for which the discontinuous set is a center manifold. Moreover, the definition of' sliding vector field coincides with the reduced problem of the corresponding singular problem for a class of vector fields.

Singular perturbation problems for time-reversible systems

In this paper singularly perturbed reversible vector fields defined in R-n without normal hyperbolicity conditions are discussed. The main results give conditions for the existence of infinitely many periodic orbits and heteroclinic cycles converging to singular orbits with respect to the Hausdorff distance.

Optimality conditions for pareto nonsmooth nonconvex programming in banach spaces

In this paper, we consider a vector optimization problem where all functions involved are defined on Banach spaces. We obtain necessary and sufficient criteria for optimality in the form of Karush-Kuhn-Tucker conditions. We also introduce a nonsmooth dual problem and provide duality theorems.

Limit cycles for singular perturbation problems via inverse integrating factor

In this paper singularly perturbed vector fields Xε defined in ℝ2 are discussed. The main results use the solutions of the linear partial differential equation XεV = div(Xε)V to give conditions for the existence of limit cycles converging to a singular orbit with respect to the Hausdorff distance. © SPM.

An intelligent system to detect drilling problems through drilled cuttings return analysis

Cuttings return analysis is an important tool to detect and prevent problems during the petroleum well drilling process. Several measurements and tools have been developed for drilling problems detection, including mud logging, PWD and downhole torque information. Cuttings flow meters were developed in the past to provide information regarding cuttings return at the shale shakers. Their use, however, significantly impact the operation including rig space issues, interferences in geological analysis besides, additional personel required. This article proposes a non intrusive system to analyze the cuttings concentration at the shale shakers, which can indicate problems during drilling process, such as landslide, the collapse of the well borehole walls. Cuttings images are acquired by a high definition camera installed above the shakers and sent to a computer coupled with a data analysis system which aims the quantification and closure of a cuttings material balance in the well surface system domain. No additional people at the rigsite are required to operate the system. Modern Artificial intelligence techniques are used for pattern recognition and data analysis. Techniques include the Optimum-Path Forest (OPF), Artificial Neural Network using Multilayer Perceptrons (ANN-MLP), Support Vector Machines (SVM) and a Bayesian Classifier (BC). Field test results conducted on offshore floating vessels are presented. Results show the robustness of the proposed system, which can be also integrated with other data to improve the efficiency of drilling problems detection. Copyright 2010, IADC/SPE Drilling Conference and Exhibition.

Jornalismo pós-televisivo: o caso do jornal Bom dia Bauru

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

As condições de vida no trabalho e a saúde de professores de educação física do município de Belém

Esta investigação teve como objetivo analisar as condições de trabalho e saúde dos professores de Educação Física do Município de Belém-PA. Para tanto, foi necessário entender como a saúde destes professores era afetada a partir dos processos de precariedade do trabalho no capitalismo contemporâneo. Foi organizado um quadro teórico a fim de dar suporte para o debate em questão. Refere-se inicialmente a crise do capitalismo na década de 70, o qual se caracterizou como a crise do petróleo. Em um segundo momento destacou-se as políticas de ajustes econômicos e políticos que refletiam na estrutura básica do funcionamento da educação. O reordenamento do capital exige modificações no entendimento do papel da educação de um país, logo foi mostrado como as políticas mais gerais afetam a educação brasileira e a vida dos professores. Foi neste bojo que se analisou a partir dos dados encontrados na pesquisa de campo, as condições de trabalho destes professores tendo como variáveis a jornada de trabalho, salário, quantidade de turmas, locais de trabalho etc. Por último, analisou-se a questão de saúde dos docentes, identificando os principais problemas como as patologias encontradas, os acidentes de trabalho, a relação que se tem com o plano de saúde oferecido pela prefeitura, a periodicidade de ida ao médico etc. Neste estudo foram aplicados 22 questionários, sendo 11 com professores do sexo feminino e 11 do sexo masculino, sendo que das 11 professoras colaboradoras, 02 participaram da entrevista. Como resultado desta investigação foi possível inferir que: a) O processo de precariedade do trabalho dos professores de Educação Física tem se mostrado extremamente evidente e com consequências para vida e saúde destes trabalhadores; b) O fenômeno da violência nas escolas é parte fundamental do processo de precariedade do trabalho dos professores; c) Problemas fonoaudiológicos foram os mais evidentes nos pesquisados, além de problemas mentais; d) Através da leitura de outras pesquisas sobre a condição de precariedade do trabalho e saúde, é possível conjecturar uma tendência crescente em níveis de maior proporção sobre este tema; e) Os maiores índices de doenças ocupacionais referem-se aos professores do sexo feminino, ratificando que no precário mundo do trabalho essa tendência de adoecimento é prevalente. Conclui-se que é necessário a criação de espaços nas escolas públicas para se pensar a questão do trabalho e da saúde dos professores e estes juntamente com outros profissionais da educação formem autonomamente suas propostas de viabilização destes ambientes. Para tanto, é preciso antes, pensar na possibilidade de formação e construção do professor militante, o qual possa ser sujeito destas transformações. Cabe então ao professor colaborar como sujeito histórico para o processo de ruptura necessária do capital em crise.

Functions and vector fields on C(CPn)-singular manifolds

Let M2n+1 be a C(CPn) -singular manifold. We study functions and vector fields with isolated singularities on M2n+1. A C(CPn) -singular manifold is obtained from a smooth manifold M2n+1 with boundary in the form of a disjoint union of complex projective spaces CPn boolean OR CPn boolean OR ... boolean OR CPn with subsequent capture of a cone over each component of the boundary. Let M2n+1 be a compact C(CPn) -singular manifold with k singular points. The Euler characteristic of M2n+1 is equal to chi(M2n+1) = k(1 - n)/2. Let M2n+1 be a C(CPn)-singular manifold with singular points m(1), ..., m(k). Suppose that, on M2n+1, there exists an almost smooth vector field V (x) with finite number of zeros m(1), ..., m(k), x(1), ..., x(1). Then chi(M2n+1) = Sigma(l)(i=1) ind(x(i)) + Sigma(k)(i=1) ind(m(i)).

Estudo da acessibilidade aplicado a rodoviária de Aparecida-SP

The aim of this study was to develop a case study of road Aparecida, where it noticed a large movement of people with disabilities who use the road, bound for the city's churches. Another objective was to compare the minimum dimensions established by law, with the dimensions of the spaces (slope of ramps, wide sidewalks, etc.) on the road of Aparecida. Starting from this fact, a study was done on the architectural barriers faced by people with special needs and disabled. It was also made a field survey in order to know the opinion of the users about the accessibility of pregnant elderly and disabled in the road. Technical visits were also made in order to detect sites with access problems with special needs. Also were proposed guidelines for renovation of the building where the road works

Pareto Frontier for the time-energy cost vector to an Earth-Moon transfer orbit using the patched-conic approximation

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

Acessibilidade espacial e inclusão em escolas municipais de educação infantil

Pós-graduação em Arquitetura e Urbanismo - FAAC

A Resolução de problemas no ensino de matemática

The Troubleshooting is a methodology that stands out in mathematics teaching, it provides a meaningful learning, favoring the intellectual development of the student and the autonomous and critical thinking. In this work an exploratory study on the use of Problem Solving as a teaching strategy. Along it is discussed the importance of problem solving, which is a problem and their differences for years, the types of problems, how to solve a problem and as a teacher should apply problem solving in the classroom choosing problems and exercises adequate and properly questioning the student

Approximation Algorithms for Survivable Multicommodity Flow Problems with Applications to Network Design

Multicommodity flow (MF) problems have a wide variety of applications in areas such as VLSI circuit design, network design, etc., and are therefore very well studied. The fractional MF problems are polynomial time solvable while integer versions are NP-complete. However, exact algorithms to solve the fractional MF problems have high computational complexity. Therefore approximation algorithms to solve the fractional MF problems have been explored in the literature to reduce their computational complexity. Using these approximation algorithms and the randomized rounding technique, polynomial time approximation algorithms have been explored in the literature. In the design of high-speed networks, such as optical wavelength division multiplexing (WDM) networks, providing survivability carries great significance. Survivability is the ability of the network to recover from failures. It further increases the complexity of network design and presents network designers with more formidable challenges. In this work we formulate the survivable versions of the MF problems. We build approximation algorithms for the survivable multicommodity flow (SMF) problems based on the framework of the approximation algorithms for the MF problems presented in [1] and [2]. We discuss applications of the SMF problems to solve survivable routing in capacitated networks.

Managing Large Data Sets Using Support Vector Machines

Hundreds of Terabytes of CMS (Compact Muon Solenoid) data are being accumulated for storage day by day at the University of Nebraska-Lincoln, which is one of the eight US CMS Tier-2 sites. Managing this data includes retaining useful CMS data sets and clearing storage space for newly arriving data by deleting less useful data sets. This is an important task that is currently being done manually and it requires a large amount of time. The overall objective of this study was to develop a methodology to help identify the data sets to be deleted when there is a requirement for storage space. CMS data is stored using HDFS (Hadoop Distributed File System). HDFS logs give information regarding file access operations. Hadoop MapReduce was used to feed information in these logs to Support Vector Machines (SVMs), a machine learning algorithm applicable to classification and regression which is used in this Thesis to develop a classifier. Time elapsed in data set classification by this method is dependent on the size of the input HDFS log file since the algorithmic complexities of Hadoop MapReduce algorithms here are O(n). The SVM methodology produces a list of data sets for deletion along with their respective sizes. This methodology was also compared with a heuristic called Retention Cost which was calculated using size of the data set and the time since its last access to help decide how useful a data set is. Accuracies of both were compared by calculating the percentage of data sets predicted for deletion which were accessed at a later instance of time. Our methodology using SVMs proved to be more accurate than using the Retention Cost heuristic. This methodology could be used to solve similar problems involving other large data sets.

A Resolução de problemas no ensino de matemática

The Troubleshooting is a methodology that stands out in mathematics teaching, it provides a meaningful learning, favoring the intellectual development of the student and the autonomous and critical thinking. In this work an exploratory study on the use of Problem Solving as a teaching strategy. Along it is discussed the importance of problem solving, which is a problem and their differences for years, the types of problems, how to solve a problem and as a teacher should apply problem solving in the classroom choosing problems and exercises adequate and properly questioning the student