The Mathematics of Control Theory

This text contains papers presented at the Institute of Mathematics and its Applications Conference on Control Theory, held at the University of Strathclyde in Glasgow. The contributions cover a wide range of topics of current interest to theoreticians and practitioners including algebraic systems theory, nonlinear control systems, adaptive control, robustness issues, infinite dimensional systems, applications studies and connections to mathematical aspects of information theory and data-fusion.

A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms

In this paper we present a novel approach for multispectral image contextual classification by combining iterative combinatorial optimization algorithms. The pixel-wise decision rule is defined using a Bayesian approach to combine two MRF models: a Gaussian Markov Random Field (GMRF) for the observations (likelihood) and a Potts model for the a priori knowledge, to regularize the solution in the presence of noisy data. Hence, the classification problem is stated according to a Maximum a Posteriori (MAP) framework. In order to approximate the MAP solution we apply several combinatorial optimization methods using multiple simultaneous initializations, making the solution less sensitive to the initial conditions and reducing both computational cost and time in comparison to Simulated Annealing, often unfeasible in many real image processing applications. Markov Random Field model parameters are estimated by Maximum Pseudo-Likelihood (MPL) approach, avoiding manual adjustments in the choice of the regularization parameters. Asymptotic evaluations assess the accuracy of the proposed parameter estimation procedure. To test and evaluate the proposed classification method, we adopt metrics for quantitative performance assessment (Cohen`s Kappa coefficient), allowing a robust and accurate statistical analysis. The obtained results clearly show that combining sub-optimal contextual algorithms significantly improves the classification performance, indicating the effectiveness of the proposed methodology. (C) 2010 Elsevier B.V. All rights reserved.

Nonstationary feature extraction techniques for automatic classification of impact acoustic signals

Condition monitoring of wooden railway sleepers applications are generallycarried out by visual inspection and if necessary some impact acoustic examination iscarried out intuitively by skilled personnel. In this work, a pattern recognition solutionhas been proposed to automate the process for the achievement of robust results. Thestudy presents a comparison of several pattern recognition techniques together withvarious nonstationary feature extraction techniques for classification of impactacoustic emissions. Pattern classifiers such as multilayer perceptron, learning cectorquantization and gaussian mixture models, are combined with nonstationary featureextraction techniques such as Short Time Fourier Transform, Continuous WaveletTransform, Discrete Wavelet Transform and Wigner-Ville Distribution. Due to thepresence of several different feature extraction and classification technqies, datafusion has been investigated. Data fusion in the current case has mainly beeninvestigated on two levels, feature level and classifier level respectively. Fusion at thefeature level demonstrated best results with an overall accuracy of 82% whencompared to the human operator.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

Geologia e geoquimica do complexo cambaizinho, sao gabriel - RS

Mapeamentos geológicos feitos pelo autor na região do Arroio Cambaizinho - são Gabriel/RS, resultaram na definição do Complexo Cambaizinho, representado pelas seqüências meta-sedimentar e máfica-ultramáfica, intimamente associadas ao longo de toda a extensão da associação supracrustal. A seqüência meta-se dimentar é constitu1da por gnaisses quartzo-feldspáticos dominan tes, anfibolitos bandados e quartzitos subordinados, derivados de sedimentos areno-pelítico-carbonatados estruturados, de forma ritmica em ambiente subaquoso. Niveis composicionais de ocorrência restrita contendo estaurolita, definem o grau metamórfico (médio) para esta região. Intercalações de serpentinitos, xistos magnesianos variados e anfibolitos a granulação fina, na forma de camadas e/ou lentes interestratificadas nos meta-sedimentos indicam suas derivações a partir de derrames e/ou intrusões , ígneas de pequena profundidade de composição básica-ultrabásica. Este juntamente com níveis de sedimentos qu1micos intercalados e corpos de gabros, constituem a seqüência máfica-ultramáfica. O complexo, representa o segmento norte de um cintu rão supracrustal polideformado de forma geométrica aproximadamente linear, com orientação NNE, que se extende desde a localidade de Passo do Ivo, situado mais a sul, até a região objeto deste trabalho. Quatro fases de deformação dúcteis foram das para a área, estando as duas primeiras (Dl e D2) identifica associadas xx aos eventos metamórficos regionais Ml e M2. O metamorfismo mais antigo (Ml), assinalado por paragêneses diagnósticas em metapelitos alcançou o fácies anfibolito (zona da estaurolita), estando representado em outras litologias pela ocorrência de olivina metamórfica em paragênese com tremolita e/ou talco (meta-serpentinitos) e hornblenda mais oligoclásio/andesina em meta-básicas. O M2, mais jovem, atingiu o fácies xistos verdes, cujas assembléias mineralógicas se associam à foliação S2, de distribuição ir regular ao longo do cinturão. As condições fisicas de Ml foram de média P/T, similares às do metamorfismo Dalradiano. Intrusões graniticas na forma de lâminas (corpos ta bulares) durante a segunda fase de deformação D2, datados pelo mé todo Rb/Sr em 661 :: 29 Ma e agrupados sob a denominação de Granatóides Sanga do Jobim, fornecem idades mínimas para o complexo. Os vários grupos composiciconais da seqüência máfic~ -ultramáfica, individualizados com base em critérios petrográf~ cos e conteúdo de elementos maiores correspondem a: serpentinitos e olivina-talco ultramafitos (cumulados komatilticos); xis tos magnesianos à talco e clorita e anfibólio xistos (komatiitos); clorita-hornblenda xistos (basaltos komatiiticos), litos e metagabros (basaltos e gabros tolelticos). anfibo Estes vários tipos litológicos foram originados através de diferentes graus de fusão parcial do manto como indicado pelo hiato composicional de MgO (11 à 17%) e os diferentes padrões de ETR existentes entre os anfibolitos/metagabros (toleitos) e os serpentinitos/xistos magnesianos (komatiltos).As variações composicionais no interior de cada grupo, foram controladas pelo fracionamento (acumulação ou extração) de olivina e pouco ortopiroxênio (serpentinitos e olivina-talco ultramafitos)clinopiroxênios (clorita e anfibólios xistos, clorita hornblenda xistos), clinopiroxênio e plagioclásio (anfibolitos e metagabros). As abundâncias e os padrões de ERTL (elementos terras raras leves) enriquecidos, juntamente com os baixos valores das razões A1203/Ti02 e CaO/Ti02 das amostras de xistos magnesiinos das camadas A e B sugerem derivações deste material a partir de baixas percentagens de fusão de um manto enriquecido em mentos incompatíveis. As anomalias negativas de Ce e Eu na ele maio ria das rochas da seqüência máfica-ultramáfica indicam que protólitos ígneossofreram alterações em ambiente submarino.

Preparation and thermal decomposition of copper(II), zinc(II) and cadmium(II) chelates with 8-hydroxyquinoline

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

O papel da escola e do professor numa situação de não aprendizagem: o que dizem as crianças

O artigo apresenta dados parciais de uma pesquisa sobre a construção do conhecimento social a partir da perspectiva piagetiana, mais especificamente as ideias das crianças a respeito da escola e do professor. Os participantes do estudo foram 52 crianças entre 7 e 8 anos inseridas em ambientes educacionais diferenciados: um considerado como ambiente tradicional de ensino e o outro considerado como ambiente sociomoral construtivista. O instrumento apresentado aqui, utilizado para coleta de dados, é uma história envolvendo uma situação de não aprendizagem. Os participantes eram convidados a pensar sobre as questões inerentes à história, bem como o papel da escola e do professor na situação proposta. Os dados indicaram não haver diferença entre os dois ambientes no que se refere à construção desse conhecimento social. No entanto, houve diferença muito significativa na maneira utilizada pelos alunos para resolverem os problemas da história: no ambiente tradicional a coerção e a expiação foram mais mencionadas e no ambiente sociomoral construtivista, o diálogo e a cooperação. Os dados apontam ainda para a necessidade do trabalho com esse tipo de conhecimento em sala de aula, visto que as respostas dos sujeitos caracterizaram-se por uma compreensão parcial da realidade, centrada em aspectos mais visíveis e aparentes dos fatos e na não consideração de processos ocultos.

Magnetic images of pharmaceutical dosage forms in the human gastrointestinal tract

Oral administration with solid dosage forms is a common route in the drug therapy widely used. The drug release by the disintegration process occurs in several gastrointestinal tract (GIT) regions. AC Biosusceptometry (ACB) was originally proposal to characterize the disintegration process of tablets in vitro and in the human stomach, through changes in magnetic signals. The aim of this work was to employ a multisensor ACB system to monitoring magnetic tablets and capsules in the human GIT and to obtain the magnetic images of the disintegration process. The ACB showed accuracy to quantify the gastric residence time, the intestinal transit time and the magnetic images allowed to visualize the disintegration of magnetic formulations in the GIT. The ACB is a non-invasive, radiation free technique, completely safe and harmless to the volunteers and had demonstrated potential to evaluate pharmaceutical dosage forms in the human gastrointestinal tract. © 2005 IEEE.

A rank aggregation framework for video multimodal geocoding

This paper proposes a rank aggregation framework for video multimodal geocoding. Textual and visual descriptions associated with videos are used to define ranked lists. These ranked lists are later combined, and the resulting ranked list is used to define appropriate locations for videos. An architecture that implements the proposed framework is designed. In this architecture, there are specific modules for each modality (e.g, textual and visual) that can be developed and evolved independently. Another component is a data fusion module responsible for combining seamlessly the ranked lists defined for each modality. We have validated the proposed framework in the context of the MediaEval 2012 Placing Task, whose objective is to automatically assign geographical coordinates to videos. Obtained results show how our multimodal approach improves the geocoding results when compared to methods that rely on a single modality (either textual or visual descriptors). We also show that the proposed multimodal approach yields comparable results to the best submissions to the Placing Task in 2012 using no extra information besides the available development/training data. Another contribution of this work is related to the proposal of a new effectiveness evaluation measure. The proposed measure is based on distance scores that summarize how effective a designed/tested approach is, considering its overall result for a test dataset. © 2013 Springer Science+Business Media New York.

Fusão de dados multisensor para a identificação e o mapeamento de ambientes flúvio-estuarinos da Amazônia

A fusão de imagens multisensor tem sido um procedimento amplamente utilizado em função da natureza complementar dos vários conjuntos de dados. Este artigo compara o desempenho de quatro métodos diferentes para fusão de imagens Landsat-7 ETM+ e RADARSAT-1 W1. A comparação foi baseada nas características espectrais das imagens, utilizando-se de análise estatística e visual dos produtos gerados. Quatro métodos foram usados para a fusão das imagens Landsat-7 ETM+ e RADARSAT-1 W1: i) fusão do SAR (radar de abertura sintética) com a tríade selecionada pelo OIF (Optimum Index Factor); ii) realce por decorrelação da tríade selecionada pelo OIF, seguida da fusão com SAR; iii) ACP (Análise por Componentes Principais) para as seis bandas ETM+ do espectro refletido (1, 2, 3, 4, 5 e 7) e posterior fusão das três primeiras componentes principais (1CP; 2CP; 3CP) com o SAR; iv) SPC-SAR (Principal Componente Seletivo - SAR). O produto SPC-SAR mostrou melhor desempenho na identificação das feições costeiras e permitiu o realce mais efetivo dos diferentes ambientes.

Geoestatística multivariada na delimitação de zonas de manejo na cultura de cana-de-açúcar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Leitor contemporâneo: os livros mais vendidos no Brasil de 1966 a 2004

Este trabalho procura examinar o que o leitor brasileiro contemporâneo lê, com o propósito de explicar as razões que levam esse leitor a realizar suas escolhas. Nesse sentido, portanto, o objetivo central do trabalho será examinar o perfil desse leitor brasileiro. O levantamento dos dados para estabelecer o corpus da pesquisa foi realizado por meio do registro das listas de livros mais vendidos, publicadas em dois jornais brasileiros. O primeiro jornal fonte da pesquisa foi o Leia, periódico mensal que circulou no território nacional durante o período de abril de 1978 a setembro de 1991. O segundo, foi o Jornal do Brasil, diário carioca que publicou listas dos livros mais vendidos no Brasil a partir de 1966 até o mês de dezembro de 2004, data de encerramento da pesquisa, em caderno destinado à leitura. Como o segundo jornal interrompeu a publicação das listas dos mais vendidos durante o período de fevereiro de 1976 a abril de 1984, propusemos uma fusão dos dados dos dois jornais de forma a cobrir um período que compreende os anos de 1966 até 2004. A base teórica a partir da qual se estabeleceu o exame do perfil do leitor brasileiro foi a semiótica da escola de Paris. Para o tratamento da questão da leitura elegeu-se o exame das manifestações da enunciação no discurso, as projeções do enunciador e do enunciatário e o tratamento das paixões. Foram observados em cada um dos textos do corpus como essas categorias enunciativas projetam-se em cada um dos textos mais lidos pelos leitores brasileiros e, posteriormente, como, nas listas dos livros mais vendidos, esse leitor manifesta-se como enunciador. Para tanto propôs-se a contraposição entre o ethos do enunciador-leitor das listas e o pathos do enunciatário dos discursos de leitura. Uma vez que o corpus da pesquisa revelou um crescimento na opção pelos textos de auto-ajuda, foi examinada a questão específica... (Resumo completo, clicar acesso eletrônico abaixo)

A (re)construção da prática pedagógica de professores de língua inglesa

This papaer's main objective is to discuss partial data collected for an ongoing reserch wich aims at investigating the pedagogical pratice (re) construction process in Teaching Pratice as part of a pre-service teacher education course.

Progetto di reti Sensori Wireless e tecniche di Fusione Sensoriale

Ambient Intelligence (AmI) envisions a world where smart, electronic environments are aware and responsive to their context. People moving into these settings engage many computational devices and systems simultaneously even if they are not aware of their presence. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. The dependence on a large amount of fixed and mobile sensors embedded into the environment makes of Wireless Sensor Networks one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes, simple devices that typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. In order to handle the large amount of data generated by a WSN several multi sensor data fusion techniques have been developed. The aim of multisensor data fusion is to combine data to achieve better accuracy and inferences than could be achieved by the use of a single sensor alone. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas: Multimodal Surveillance and Activity Recognition. Novel techniques to handle data from a network of low-cost, low-power Pyroelectric InfraRed (PIR) sensors are presented. Such techniques allow the detection of the number of people moving in the environment, their direction of movement and their position. We discuss how a mesh of PIR sensors can be integrated with a video surveillance system to increase its performance in people tracking. Furthermore we embed a PIR sensor within the design of a Wireless Video Sensor Node (WVSN) to extend its lifetime. Activity recognition is a fundamental block in natural interfaces. A challenging objective is to design an activity recognition system that is able to exploit a redundant but unreliable WSN. We present our activity in building a novel activity recognition architecture for such a dynamic system. The architecture has a hierarchical structure where simple nodes performs gesture classification and a high level meta classifiers fuses a changing number of classifier outputs. We demonstrate the benefit of such architecture in terms of increased recognition performance, and fault and noise robustness. Furthermore we show how we can extend network lifetime by performing a performance-power trade-off. Smart objects can enhance user experience within smart environments. We present our work in extending the capabilities of the Smart Micrel Cube (SMCube), a smart object used as tangible interface within a tangible computing framework, through the development of a gesture recognition algorithm suitable for this limited computational power device. Finally the development of activity recognition techniques can greatly benefit from the availability of shared dataset. We report our experience in building a dataset for activity recognition. Such dataset is freely available to the scientific community for research purposes and can be used as a testbench for developing, testing and comparing different activity recognition techniques.

Localized potentials in electrical impedance tomography

In this work we study localized electric potentials that have an arbitrarily high energy on some given subset of a domain and low energy on another. We show that such potentials exist for general L-infinity-conductivities (with positive infima) in almost arbitrarily shaped subregions of a domain, as long as these regions are connected to the boundary and a unique continuation principle is satisfied. From this we deduce a simple, but new, theoretical identifiability result for the famous Calderon problem with partial data. We also show how to construct such potentials numerically and use a connection with the factorization method to derive a new non-iterative algorithm for the detection of inclusions in electrical impedance tomography.