Metamorphic epiphany -- 3D animation

As far back as I can remember, I have always been interested in studio art. Whether it be painting, drawing, printmaking, or photography, it has consistently been a part of my life. Upon enrolling in Colby, I became interested in computers and decided to major my undergraduate college career in Computer Science. Not forgetting past interests, I continued my studio art education, taking several classes within the Art department. In due time, I began combining interests and began studying Computer Graphics and Design. With limited resources in this field at Colby, the majority of my computer graphic education and experience has been done on my own time apart from regular classroom work. As time progressed, so did my interests. Starting with simple image manipulation of digitally scanned photographs, I moved on to Web Page design, eventually leading to Desktop Publishing. Ultimately, I wanted to take a step further and expand my overall computer graphic knowledge by learning 3D modeling and animation. With even fewer resources in 3D animation at Colby, I perceived having trouble finding the information and tools I would need to gain the necessary skills for this new field. The Senior Scholars program gave me the opponunity to find and acquire the necessary tools to pursue my interest. This program also allowed me to devote the proper amount of time required for learning these new tools.

Conditional reasoning: A key to assessing computer-based knowledge-building communication processes

This article describes a methodological approach to conditional reasoning in online asynchronous learning environments such as Virtual-U VGroups, developed by SFU, BC, Canada, consistent with the notion of meaning implication: If part of a meaning C is embedded in B and a part of a meaning B is embedded in A, then A implies C in terms of meaning [Piaget 91]. A new transcript analysis technique was developed to assess the flows of conditional meaning implications and to identify the occurrence of hypotheses and connections among them in two human science graduate mixed-mode online courses offered in the summer/spring session of 1997 by SFU. Flows of conditional meaning implications were confronted with Virtual-U VGroups threads and results of the two courses were compared. Findings suggest that Virtual-U VGroups is a knowledge-building environment although the tree-like Virtual-U VGroups threads should be transformed into neuronal-like threads. Findings also suggest that formulating hypotheses together triggers a collaboratively problem-solving process that scaffolds knowledge-building in asynchronous learning environments: A pedagogical technique and an built-in tool for formulating hypotheses together are proposed. © Springer Pub. Co.

Towards a java bytecodes compiler for nios II soft-core processor

Reconfigurable computing is one of the most recent research topics in computer science. The Altera - Nios II soft-core processor can be included in a large set of reconfigurable architectures, especially because it is designed in software, allowing it to be configured according to the application. The recent growth in applications that demand reconfigurable computing made necessary the building of compilers that translate high level languages source codes into reconfigurable devices instruction sets. In this paper we present a compiler that takes as input the bytecodes generated by a Java front-end compiler and generates a set of instructions that attends to the Nios II processor instruction set rules. Our work shows how we process Java bytecodes to the intermediate code, in the Nios II instructions format, and build the control flow and the control dependence graphs. © 2009 IEEE.

Statistical model applied to NetFlow for network intrusion detection

The computers and network services became presence guaranteed in several places. These characteristics resulted in the growth of illicit events and therefore the computers and networks security has become an essential point in any computing environment. Many methodologies were created to identify these events; however, with increasing of users and services on the Internet, many difficulties are found in trying to monitor a large network environment. This paper proposes a methodology for events detection in large-scale networks. The proposal approaches the anomaly detection using the NetFlow protocol, statistical methods and monitoring the environment in a best time for the application. © 2010 Springer-Verlag Berlin Heidelberg.

A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach

The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed rules and decision templates are often used. Therefore, the influence and relationship between classifier decisions are often not considered in the combination schemes. In this paper we propose a framework to combine classifiers using a decision graph under a random field model and a game strategy approach to obtain the final decision. The results of combining Optimum-Path Forest (OPF) classifiers using the proposed model are reported, obtaining good performance in experiments using simulated and real data sets. The results encourage the combination of OPF ensembles and the framework to design multiple classifier systems. © 2011 Springer-Verlag.

A redistricting problem applied to meter reading in power distribution networks

The capacitated redistricting problem (CRP) has the objective to redefine, under a given criterion, an initial set of districts of an urban area represented by a geographic network. Each node in the network has different types of demands and each district has a limited capacity. Real-world applications consider more than one criteria in the design of the districts, leading to a multicriteria CRP (MCRP). Examples are found in political districting, sales design, street sweeping, garbage collection and mail delivery. This work addresses the MCRP applied to power meter reading and two criteria are considered: compactness and homogeneity of districts. The proposed solution framework is based on a greedy randomized adaptive search procedure and multicriteria scalarization techniques to approximate the Pareto frontier. The computational experiments show the effectiveness of the method for a set of randomly generated networks and for a real-world network extracted from the city of São Paulo. © 2013 Elsevier Ltd.

Análise ergonômica em laboratórios de informática nas instituições públicas educacionais de ensino fundamental de Bauru

Pós-graduação em Design - FAAC

Informática e democratização do ensino: o uso de computadores na rede pública do município de Araraquara

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O olhar dos alunos e dos professores sobre a informática no curso de licenciatura em matemática na UFPA

Este trabalho visa investigar os saberes manifestados pelos alunos do curso de Matemática na Universidade Federal do Pará (UFPA), em relação à utilização da informática em sua formação. Para atender esse objetivo, utilizamos uma metodologia referente ao estudo de caso. Fizemos um breve histórico sobre a informática educativa no Brasil, destacamos os avanços e pesquisas na área e abordamos as principais maneiras de utilizá-los na educação; tratamos dos aspectos relacionados à Educação Matemática com alguns softwares educativos e as experiências com o uso do computador; e, em seguida, passamos para a nossa investigação, fundamentada nos documentos escritos pelos alunos e professores do curso de Licenciatura em Matemática da UFPA. As informações foram obtidas por meio de questionários aplicados aos alunos, durante o segundo semestre letivo de 2004, e aos professores no primeiro semestre letivo de 2005. Pudemos observar, nas análises, que alunos e professores consideram muito importante a inserção da informática ao currículo da Licenciatura em Matemática, porém destacam que este ensino ainda não ocorre e há necessidade de que ele faça parte efetiva da formação dos professores de Matemática, pois, pode contribuir para a melhoria do processo de ensino aprendizagem e é uma ferramenta indispensável para a educação.

Código de modernidade e sistemas antigos: a propósito do uso da informática pelos professores de matemática da rede pública estadual em Belém

O uso das Tecnologias da Informação e Comunicação -TIC no ambiente escolar, além de permitir o acesso a um universo de informações tão caótico quanto inimaginável, promoveu uma profunda transformação na relação de seus principais atores -professores e alunos - com o conhecimento. Desde o final da década de 1980 que, no Brasil, diversos programas surgiram com a finalidade de prover a educação pública de condições de igualdade com a educação privada, procurando através da inserção nas escolas da rede municipal e estadual de um ambiente tecnológico de aprendizagem com base em rede de computadores conectados a Internet, garantir o ansiado salto de qualidade do ensino público. A proposta desse trabalho é investigar se os professores de Matemática que atuam nas escolas da rede estadual em Belém/P A, que possuem Laboratório de Informática, estabelecem interações com esse ambiente na busca pela melhoria de sua práxis pedagógica, favorecendo a transmissão de informações, a construção de conhecimentos e de conceitos matemáticos.

Formação de professores e informática. Da falta de teoria à necessidade da prática: o caso de uma escola agrotécnica

O presente trabalho foi desenvolvido no intuito de identificar as razões das dificuldades enfrentadas pelos docentes no que se refere à utilização da informática na prática pedagógica, para poder propor a superação das mesmas e consequentemente contribuir para a consolidação da informática educativa nas atividades docentes. Com o desenvolvimento desta pesquisa foi observado que a própria prática pessoal da metodologia aplicada à disciplina “Informática Aplicada” do curso técnico em agropecuária indicava um bom caminho a superação de parte das dificuldades identificadas, embora até então esta prática estivesse dissociada de uma fundamentação teórica específica. Deste modo procuramos, através deste trabalho, formalizar alguns conceitos e sistematizá-los para que, uma vez identificada a raiz do problema, possamos propor uma metodologia de trabalho baseado na Pedagogia de Projetos que possa promover a superação das dificuldades. A analogia com o ciclo de desenvolvimento de softwares demonstrou que a adoção de um procedimento cíclico para o desenvolvimento de projetos de trabalho voltados para o uso da informática na prática docente representa uma boa ferramenta metodológica capaz de favorecer a reflexividade sobre as práticas docentes, promovendo a interdisciplinaridade e a transdisciplinaridade, transformando a informática educativa numa ferramenta de ligação entre as disciplinas, rompendo com a visão fragmentada de uma disciplina específica voltada apenas ao uso do computador e/ou apenas restrita ao laboratório de informática. Por fim, destacamos a necessidade da formação contínua e continuada dos docentes para a efetiva incorporação da informática educativa à sua prática pedagógica, pois, estando habilitados para o emprego das novas tecnologias e conhecendo como podem desenvolver projetos pedagógicos com elas, os docentes se sentirão encorajados em utilizá-las em ações curriculares escolares as mais criativas.

Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI

In this paper we address the "skull-stripping" problem in 3D MR images. We propose a new method that employs an efficient and unique histogram analysis. A fundamental component of this analysis is an algorithm for partitioning a histogram based on the position of the maximum deviation from a Gaussian fit. In our experiments we use a comprehensive image database, including both synthetic and real MRI. and compare our method with other two well-known methods, namely BSE and BET. For all datasets we achieved superior results. Our method is also highly independent of parameter tuning and very robust across considerable variations of noise ratio.

SMAC multi-hop mesh routing protocol using IEEE 802.15.4

This paper discusses some aspects related to Wireless Sensor Networks over the IEEE 802.15.4 standard, and proposes, for the very first time, a mesh network topology with geographic routing integrated to the open Freescale protocol (SMAC - Simple Medium Access Control). For this is proposed the SMAC routing protocol. Before this work the SMAC protocol was suitable to perform one hop communications only. However, with the developed mechanisms, it is possible to use multi-hop communication. Performance results from the implemented protocol are presented and analyzed in order to define important requirements for wireless sensor networks, such as robustness, self-healing property and low latency. (c) 2011 Elsevier Ltd. All rights reserved.

Mapping an uncertainty zone between interpolated types of a categorical variable

Categorical data cannot be interpolated directly because they are outcomes of discrete random variables. Thus, types of categorical variables are transformed into indicator functions that can be handled by interpolation methods. Interpolated indicator values are then backtransformed to the original types of categorical variables. However, aspects such as variability and uncertainty of interpolated values of categorical data have never been considered. In this paper we show that the interpolation variance can be used to map an uncertainty zone around boundaries between types of categorical variables. Moreover, it is shown that the interpolation variance is a component of the total variance of the categorical variables, as measured by the coefficient of unalikeability. (C) 2011 Elsevier Ltd. All rights reserved.

Computational tools for comparing asymmetric GARCH models via Bayes factors

In this paper we use Markov chain Monte Carlo (MCMC) methods in order to estimate and compare GARCH models from a Bayesian perspective. We allow for possibly heavy tailed and asymmetric distributions in the error term. We use a general method proposed in the literature to introduce skewness into a continuous unimodal and symmetric distribution. For each model we compute an approximation to the marginal likelihood, based on the MCMC output. From these approximations we compute Bayes factors and posterior model probabilities. (C) 2012 IMACS. Published by Elsevier B.V. All rights reserved.