Thesis (M.S.)--West Virginia University, 2006. / Title from document title page. Document formatted into pages; contains ix, 94 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 91-94).

Photoacoustic imaging for biomedical application has attracted much research in recent years. To date, most of the work has focused on pulsed photoacoustics. Recent developments have seen the implementation of a radar pulse compression methodology into continuous wave photoacoustic modality, however very little theory has been developed in support of this approach. In this thesis, the one-dimensional theory of radar photoacousticsfor pulse compressedlinear frequency modulated continuous sinusoidal laserphotoacoustics is developed.The effect of the chirp parameters on the corresponding photoacoustic signal is investigated, and guidelines for choosing the chirp parametersfor absorber profilometric detectionare given based on the developed theory and simulations. Simulated results are also compared to available experimental results and show a good agreement.

This article summarizes the ideas behind a few programs we developed for spatial data analysis in EViews and MATLAB. They allow the user to check for spatial autocorrelation using Moran's I and provide a spatial filtering procedure based on the Gi statistic by Getis and Ord (1992). We have also implemented graphical tools like Moran Scatterplots for the detection of outliers or local spatial clusters.

No description available.

The 2009 H1N1 pandemic caused serious concerns worldwide due to the novel biological feature of the virus strain, and the high morbidity rate for youth. The urban scale is crucial for analyzing the pandemic in metropolitan areas such as the Greater Toronto Area (GTA) of Canada because of its large population. The challenge of exploring the spatial dynamics of H1N1 is exaggerated by data scarcity and the absence of an immediately applicable methodology at such a scale. In this study, a stepwise methodology is developed, and a retrospective spatial statistical analysis is conducted using the methodology to estimate the spatial dynamics of the 2009 H1N1 pandemic in the GTA when the data scarcity exists. The global and local spatial autocorrelation analyses are carried out through the use of multiple spatial analysis tools to confirm the existence and significance of spatial clustering effects. A Generalized Linear Mixed Model (GLMM) implemented in Statistical Analysis System (SAS) is used to estimate the area-specific spatial dynamics. The GLMM is configured to a spatial model that incorporates an Intrinsic Gaussian Conditionally Autoregressive (ICAR) model, and a non-spatial model respectively. Comparing the results of spatial and non-spatial configurations of the GLMM suggests that the spatial GLMM, which incorporates the ICAR model, proves a better predictability. This indicates that the methodology developed in this study can be applied to epidemiology studies to analyze the spatial dynamics in similar scenarios. / Thesis (Master, Geography) -- Queen's University, 2012-10-30 17:41:28.445

Data described by econometric models typically contains autocorrelation and/or heteroskedasticity of unknown form and for inference in such models it is essential to use covariance matrix estimators that can consistently estimate the covariance of the model parameters. Hence, suitable heteroskedasticity-consistent (HC) and heteroskedasticity and autocorrelation consistent (HAC) estimators have been receiving attention in the econometric literature over the last 20 years. To apply these estimators in practice, an implementation is needed that preferably translates the conceptual properties of the underlying theoretical frameworks into computational tools. In this paper, such an implementation in the package sandwich in the R system for statistical computing is described and it is shown how the suggested functions provide reusable components that build on readily existing functionality and how they can be integrated easily into new inferential procedures or applications. The toolbox contained in sandwich is extremely flexible and comprehensive, including specific functions for the most important HC and HAC estimators from the econometric literature. Several real-world data sets are used to illustrate how the functionality can be integrated into applications. / Series: Research Report Series / Department of Statistics and Mathematics

O presente trabalho abordou o sistema de Tomografia por Coerência Óptica (OCT) e sua aplicação à área de microfluídica. Para tanto, foram realizados testes de caracterização física de circuitos microfluídicos, utilizando modelos 3D (tridimensionais) construídos a partir de imagens de OCT destes circuitos. A técnica foi, assim, avaliada como potencial ferramenta de auxílio na aferição de microcanais. Indo além, este trabalho estuda e desenvolve técnicas de análise para fluxos microfluídicos, em especial técnicas baseadas no padrão de speckle. Em primeiro momento, métodos já existentes foram estudados e aprimorados, como o Speckle Variance OCT, em que foi obtido um ganho de 31% em tempo de processamento. Outros métodos, como o LASCA (Laser speckle Contrast Analysis), baseados na autocorrelação de speckle, são adaptados às imagens de OCT. Derivado do LASCA, o método de análise desenvolvido baseado na autocorrelação de intensidade motivou o desenvolvimento de um arranjo de OCT próprio e software de aquisição customizado, com taxa de amostragem da ordem de 8 kHz. O método proposto foi, então, capaz de distinguir fluxos volumétricos variados, e seus limites de detecção foram testados, comprovando sua viabilidade de aplicação para análise de movimento browniano e fluxos volumétricos abaixo de 10 μl/min. / This work discusses the Optical Coherence Tomography system (OCT) and its application to the microfluidics area. To this end, physical characterization of microfluidic circuits were performed using 3D (three-dimensional) models constructed from OCT images of such circuits. The technique was thus evaluated as a potential tool to aid in the inspection of microchannels. Going further, this workpaper studies and develops analytical techniques for microfluidic flow, in particular techniques based on speckle pattern. In the first instance, existing methods were studied and improved, such as Speckle Variance - OCT, where a gain of 31% was obtained in processing time. Other methods, such as LASCA (Laser Speckle Contrast Analysis), based on speckle autocorrelation, are adapted to OCT images. Derived from LASCA, the developed analysis technique based on intensity autocorrelation motivated the development of a custom OCT system as well as an optimized acquisition software, with a sampling rate of 8 kHz. The proposed method was, then, able to distinguish different flow rates, and limits of detection were tested, proving its feasibility for implementation on Brownian motion analysis and flow rates below 10 μl/min.

Tomografia por Coerência Óptica, ou simplesmente OCT (acrônimo do inglês: Optical Coherence Tomography), é uma técnica para geração de imagens de seções transversais de meios espalhadores ao comprimento de onda utilizado. A OCT é baseada em interferometria óptica e gera imagens comumente correlacionadas às imagens geradas exames histológicos com a vantagem de ser indolor, não invasiva e não utilizar radiação ionizante. Este estudo dividiu-se em dois objetivos distintos, um refere-se à aplicação de sinais interferométricos de autocorrelação para a formação de imagens de amostras com estruturas complexas. O segundo objetivo foi o estudo das estruturas denominadas de harmônicos e sua aplicação no aumento da resolução axial de um sistema OCT. Com relação à primeira parte, constatou-se que o sinal interferométrico de autocorrelação é muitas vezes ignorado ou descartado pela OCT tradicional. Análises mais profundas da teoria de interferometria, juntamente com alguns estudos anteriores, apontaram para a possibilidade de gerar imagens de maior complexidade morfológica utilizando o sinal de autocorrelação, com a vantagem de se utilizar um arranjo óptico mais simples e também possibilitar imagens estáticas de amostras em movimento axial. Para testar os benefícios e as limitações da técnica de autocorrelação (Au-OCT) foi montado em laboratório e foram realizadas imagens de amostras no repouso e em movimento e confrontadas com imagens geradas no sistema OCT convencional. O sistema de Au-OCT foi capaz de gerar imagens de estruturas diversas (dentes, filmes plásticos entre outros), e apesar de possuir uma qualidade de imagem inferior à OCT, ela apresentou vantagens quando a amostra sofre deslocamentos axiais. Já em relação as características harmônicas, que se apresentam em amostras de alta refletividade óptica como falsas estruturas em imagens OCT, todo um estudo para o entendimento do fenômeno foi desenvolvido. Demonstrou-se também a possibilidade de utilização dessas estruturas para aprimorar a resolução axial diferencial (entre estruturas da própria amostra) através de um estudo numérico e experimental. Para isso padrões dimensionais do tipo degrau foram mensurados e os resultados tratados de acordo com procedimentos metrológicos, mostrando que os harmônicos podem ser utilizados para promover o aumento de resolução axial de um fator de aproximadamente dois. Por fim uma análise crítica sobre os resultados e uma discussão sobre perspectivas dos temas abordados, foram realizada. / Optical Coherence Tomography also largely known as the acronym OCT, is a technique developed to generate transversal sections images of light scattering media. Based on optical interferometry, it provides images correlated to histological images with the advantages of being not invasive, painless besides and does not use ionizing radiation. This study was divided into two separate goals; one refers to the application of interferometric autocorrelation signals for forming images of samples with complex structures. The second objective was the study of structures called harmonics and its application in increasing the axial resolution of an OCT system. Regarding the first part, it was found that the interferometric autocorrelation signal is often ignored or discarded by traditional OCT. Further analysis of the theory of interferometry, along with some previous studies have pointed to the possibility of generating images of greater morphological complexity using the signal autocorrelation, with the advantage of using a simplest optical arrangement and also allow static images of samples in axial movement. To test the benefits and limitations of the autocorrelation technique (Au-OCT) a setup was assembled in and images of samples were performed at rest and in motion and compared with images generated in conventional OCT system. The system Au-OCT was able to generate images of several structures (teeth, plastic films etc.), and despite having a lower image quality to the OCT, it presented advantages when the sample undergoes axial motion. Regarding the harmonic characteristics that are present in samples of high optical reflectivity as false structures in OCT images, a whole study to the understanding of the phenomenon was developed. Also demonstrated the possibility of using these structures to enhance the differential axial resolution (structures between the sample itself) using a numerical and experimental study. Dimensional standards step height like were measured and results handled according to metrological procedures, showing that the harmonics can be used to promote the increase of axial resolution by a factor of about two. Finally a critical analysis of the results and a discussion of perspectives of the topics discussed were performed.

Tomografia por Coerência Óptica, ou simplesmente OCT (acrônimo do inglês: Optical Coherence Tomography), é uma técnica para geração de imagens de seções transversais de meios espalhadores ao comprimento de onda utilizado. A OCT é baseada em interferometria óptica e gera imagens comumente correlacionadas às imagens geradas exames histológicos com a vantagem de ser indolor, não invasiva e não utilizar radiação ionizante. Este estudo dividiu-se em dois objetivos distintos, um refere-se à aplicação de sinais interferométricos de autocorrelação para a formação de imagens de amostras com estruturas complexas. O segundo objetivo foi o estudo das estruturas denominadas de harmônicos e sua aplicação no aumento da resolução axial de um sistema OCT. Com relação à primeira parte, constatou-se que o sinal interferométrico de autocorrelação é muitas vezes ignorado ou descartado pela OCT tradicional. Análises mais profundas da teoria de interferometria, juntamente com alguns estudos anteriores, apontaram para a possibilidade de gerar imagens de maior complexidade morfológica utilizando o sinal de autocorrelação, com a vantagem de se utilizar um arranjo óptico mais simples e também possibilitar imagens estáticas de amostras em movimento axial. Para testar os benefícios e as limitações da técnica de autocorrelação (Au-OCT) foi montado em laboratório e foram realizadas imagens de amostras no repouso e em movimento e confrontadas com imagens geradas no sistema OCT convencional. O sistema de Au-OCT foi capaz de gerar imagens de estruturas diversas (dentes, filmes plásticos entre outros), e apesar de possuir uma qualidade de imagem inferior à OCT, ela apresentou vantagens quando a amostra sofre deslocamentos axiais. Já em relação as características harmônicas, que se apresentam em amostras de alta refletividade óptica como falsas estruturas em imagens OCT, todo um estudo para o entendimento do fenômeno foi desenvolvido. Demonstrou-se também a possibilidade de utilização dessas estruturas para aprimorar a resolução axial diferencial (entre estruturas da própria amostra) através de um estudo numérico e experimental. Para isso padrões dimensionais do tipo degrau foram mensurados e os resultados tratados de acordo com procedimentos metrológicos, mostrando que os harmônicos podem ser utilizados para promover o aumento de resolução axial de um fator de aproximadamente dois. Por fim uma análise crítica sobre os resultados e uma discussão sobre perspectivas dos temas abordados, foram realizada. / Optical Coherence Tomography also largely known as the acronym OCT, is a technique developed to generate transversal sections images of light scattering media. Based on optical interferometry, it provides images correlated to histological images with the advantages of being not invasive, painless besides and does not use ionizing radiation. This study was divided into two separate goals; one refers to the application of interferometric autocorrelation signals for forming images of samples with complex structures. The second objective was the study of structures called harmonics and its application in increasing the axial resolution of an OCT system. Regarding the first part, it was found that the interferometric autocorrelation signal is often ignored or discarded by traditional OCT. Further analysis of the theory of interferometry, along with some previous studies have pointed to the possibility of generating images of greater morphological complexity using the signal autocorrelation, with the advantage of using a simplest optical arrangement and also allow static images of samples in axial movement. To test the benefits and limitations of the autocorrelation technique (Au-OCT) a setup was assembled in and images of samples were performed at rest and in motion and compared with images generated in conventional OCT system. The system Au-OCT was able to generate images of several structures (teeth, plastic films etc.), and despite having a lower image quality to the OCT, it presented advantages when the sample undergoes axial motion. Regarding the harmonic characteristics that are present in samples of high optical reflectivity as false structures in OCT images, a whole study to the understanding of the phenomenon was developed. Also demonstrated the possibility of using these structures to enhance the differential axial resolution (structures between the sample itself) using a numerical and experimental study. Dimensional standards step height like were measured and results handled according to metrological procedures, showing that the harmonics can be used to promote the increase of axial resolution by a factor of about two. Finally a critical analysis of the results and a discussion of perspectives of the topics discussed were performed.

<div>Given the powerful influence that music carries in all cultures, it is ideal that everyone have the access and means to learn and understand music. Music visualizations are powerful tools which have proven abilities to help people learn and understand music, as well as enjoy the music. However, when used for educational purposes, it is imperative that the visualization be accurate. This thesis investigated the creation of a visualization which could take input from a live guitar and, in real time, accurately display the pitch within ±2¢, correctly display the note name, and transcribe the note onto the Western music staff. Research was conducted on the history of music visualizations, types of music visualizations and their uses, and commonly used methods of pitch detection.</div><div><br></div><div><div>Processing©3 was selected as the development environment for creating the visualization. Autocorrelation was chosen as the method of pitch detection. Sine waves accurate to 0.01 Hz were generated in MATLAB and used to test the visualization. A tc electronic® PolyTune® 2 guitar tuning pedal was used to tune the guitar before input into the visualization. This served as a means to verify the accuracy of the visualization’s output. A Rocksmith® 1/4-inch to USB cable was used to bring the live guitar signal into the visualization.</div></div><div><br></div><div><div>Processing©3 served as a successful tool for creating the music visualization. The visualization correctly displayed the note name, transcribed the note onto the Western music staff, displayed the audio input, displayed the FFT of the audio input, and accurately displayed the pitch in real time. However, autocorrelation did not give the desired results for pitch accuracy. The detected pitch was not consistently accurate to the desired ±2¢. But, the pitch was accurate to</div><div>at least ±8¢ over the open string range (E2 to E4), and at least ±18¢ over the full range of the guitar (E2 to D6). Though Processing©3 worked well to create the visualization, it may not be the best tool for processing the audio when high accuracy is desired in real time.</div></div>