1 |
Measuring neighborhood sustainability : a comparative case study of Mueller and StapletonRigdon, John Herbert 25 November 2013 (has links)
This paper will examine two cases where urban infill and sustainable neighborhood development converge: the Mueller redevelopment in Austin, Texas and the Stapleton redevelopment in Denver, Colorado. These projects represent significant efforts to develop sustainably in their respective cities, as well as provide prominent examples of New Urban development. The theoretical similarities between the neighborhood developments are many. However, which project does the better job of meeting the goals of sustainable urbanism?
In order to address this question, the paper will begin by examining the theoretical framework of sustainable urbanism; a critical influence on both projects. The two projects will then be compared in order to assess how well they address critical goals of sustainable urbanism in practice. The comparison will be quantitatively measured using a sustainability indicators analysis in ArcGIS.
The literature review will introduce the concept of sustainable urbanism. Neo-traditional development will then be examined in greater detail, with a focus on New Urbanism. From this literature, a common framework for sustainable urbanism is established. This framework will be used to arrive at a set of concrete goals for quantitative analysis. The paper identifies four goals of sustainable urbanism that will be measured: density, diversity, connectivity, and accessibility.
The four critical objectives will be used to create a set of 12 spatial indicators for neighborhood sustainability. An analysis of the indicators will be calculated to compare the two sites. The paper looks to identify which of the two projects best meets the goals of sustainable urbanism. Finally, the report will examine the nuances of the projects in order to answer the question: what can the comparison can tell us about the future of the Mueller neighborhood? / text
|
2 |
Herman Carl Mueller (1854-1941), innovator in the field of architectural ceramics /Taft, Lisa Factor January 1979 (has links)
No description available.
|
3 |
The Wanderer's Path through the Age of Goethe: A Literary and Musical FocusRussell, Mark Patrick 01 January 2014 (has links)
By exploring the symbolism of the wanderer motif, we can trace its path in German literature, first through the mind of Johann Wolfgang Goethe, specifically focusing on some of his poetry from early on in his career during the Sturm und Drang Period. We then travel to the Romantic Period, as we focus on works from Wilhelm Müller with the help of musical interpretations of Franz Schubert, and finally end the journey with Aus dem Leben eines Taugenichts, a novella by Joseph von Eichendorff in the late Romantic Period. The wanderer, as we will see, is not the aimless figure normally associated with it today, but rather one who is transformed through his journey. These writers each had a different purpose for using the motif, and each plays a part in making the wanderer a prominent figure during the Age of Goethe.
|
4 |
Polarimétrie de Mueller résolue angulairementFallet, Clément 18 October 2011 (has links) (PDF)
Avec la diminution constante de la taille des transistors dans la microélectronique, les outils de caractérisation doivent être de plus en plus précis et doivent fournir un débit de plus en plus élevé. La fabrication de semi-conducteurs étant un processus couche par couche, le positionnement précis de la pile est crucial. Le mauvais alignement de la pile est appelé overlay, et nous proposons ici un nouvel instrument et une nouvelle méthode pour caractériser avec précision l'overlay en mesurant une cible unique construite dans les lignes de découpe. La méthode utilise les propriétés fondamentales de symétrie de la matrice de Mueller mesurée dans le plan focal arrière d'un objectif de microscope à grande ouverture numérique et permet une caractérisation de l'overlay avec une incertitude de mesure totale de 2nm. Après une brève introduction à la polarisation et la matrice de Mueller, nous décrivons la nouvelle conception de l'instrument et son étalonnage complet. Le corps principal de ce manuscrit est dédié à la caractérisation de l'overlay, mais les applications de cet instrument sont très diverses aussi détaillerons nous comment notre instrument peut apporter des pistes pour la caractérisation et la compréhension de l'auto-organisation de l'exosquelette des scarabées. Ces coléoptères présentent un très fort dichroïsme circulaire et de nombreux groupes de recherche dans le monde entier essaient d'imiter leur exosquelette. Nous concluons ce manuscrit par un bref aperçu des principales perspectives pour notre instrument.
|
5 |
Simulation of Lidar Return Signals Associated with Water CloudsLu, Jianxu 14 January 2010 (has links)
We revisited an empirical relationship between the integrated volume depolar-
ization ratio, oacc, and the effective multiple scattering factor, -n, on the basis of Monte
Carlo simulations of spaceborne lidar backscatter associated with homogeneous wa-
ter clouds. The relationship is found to be sensitive to the extinction coefficient and
to the particle size. The layer integrated attenuated backscatter is also obtained.
Comparisons made between the simulations and statistics derived relationships of
the layer integrated depolarization ratio, oacc, and the layer integrated attenuated
backscatter, -n, based on the measurement by the Cloud-Aerosol Lidar and Infrared
Pathfinder Satellite Observations (CALIPSO) satellite show that a cloud with a
large effective size or a large extinction coefficient has a relatively large integrated
backscatter and a cloud with a small effective size or a large extinction coefficient
has a large integrated volume depolarization ratio. The present results also show
that optically thin water clouds may not obey the empirical relationship derived by
Y. X. Hu. and co-authors.
|
6 |
Sensitivity of the Mueller matrix to the optical and microphysical properties of cirrus cloudsLawless, Ryan Lee 30 October 2006 (has links)
An adding-doubling method is employed to calculate the reflected Stokes
parameters for cirrus cloud layers composed of different habits and effective sizes. The
elements of the Mueller matrix are determined from the reflected Stokes parameters by
considering four different incident polarization states. The sensitivity of these elements is
observed by comparing different ice crystal habits, effective sizes, and optical depth. The
Mueller elements are strongly dependent on habit. The three habits, aggregate, bullet
rosette, and plate, are observed and the
M12/M11,M43/M11 and M44/M11 elements are discussed. The wavelength used is 0.532õm, which is the lidar wavelength used on
the CALIPSO satellite. The linear depolarization ratio is also discussed. The method of
subtracting the two depolarization ratios, is noted as another way to possibly better distinguish ice crystal habits.
The sensitivity of the Mueller matrix to effective size is also observed. For three
size distributions, the Mueller elements indicate no strong dependence. This may be due
to the assumption of randomly oriented ice. Also, using an absorbing wavelength might
provide dependence. Finally, the Mueller elements are dependent on optical depth. For a
greater optical depth, the strength of reflection increases while the polarization decreases.
As the optical depth increases, any peak-like features become non-existent.
|
7 |
Mueller matrix imaging for skin cancer detectionBaldwin, Angela Michelle 30 September 2004 (has links)
Over one million Americans are afflicted with skin cancer each year. Even though skin cancer has a 95% cure rate, approximately 10,000 people die in the United States each year of this disease. The current ABCDE(F) detection method is not sensitive enough to detect skin cancer in its early stages and requires a biopsy for any suspicious lesions. A lot of unnecessary biopsies, which are painful and costly to the patient, are taken. Therefore, a noninvasive technique is needed that can accurately detect the presence of skin cancer. In this thesis, an optical approach will be presented that has potential to be a noninvasive skin cancer detection technique. Several morphological and biochemical changes occur as tissue becomes cancerous, and therefore the optical properties of the tissue can be used to detect skin cancer. A Mueller matrix imaging system has been developed by our group that measures the 16 or 36-element Mueller matrix, which completely describes the optical properties of the tissue sample. The system is automated and can collect the Mueller matrix in less than one minute. This system will be used to
image Sinclair swine, and data analysis techniques will be employed to determine if the system can distinguish between cancerous and noncancerous tissue. System software improvements will also be made, and a new calibration technique will be presented.
|
8 |
Mueller Matrix RootsNoble, Hannah January 2011 (has links)
This dissertation is comprised of two separate topics within the domain of polarization optical engineering. The first topic is a Mueller matrix roots decomposition, and the second topic is polarization computer generated holography. The first four chapters of the dissertation are on the topic of the Mueller matrix roots decomposition. Recently, an order-independent Mueller matrix decomposition was proposed in an effort to organize the nine depolarization degrees of freedom. Chapter 1 discusses relevant Mueller matrix decomposition prior art and the motivation for this work. In chapter 2, the critical computational issues involved in applying this Mueller matrix roots decomposition are addressed, along with a review of the principal root and common methods for its calculation. The choice of the pth root is optimized at p = 10⁵, and computational techniques are proposed which allow singular Mueller matrices and Mueller matrices with a half-wave of retardance to be evaluated with the matrix roots decomposition. A matrix roots algorithm is provided which incorporates these computational results. In chapter 3, the Mueller matrix roots decomposition is reviewed and a set of Mueller matrix generators are discussed. The parameterization of depolarization into three families, each with three degrees of freedom is explained. Analysis of the matrix roots parameters in terms of degree of polarization maps demonstrates that depolarizers fall into two distinct classes: amplitude depolarization in one class, and phase and diagonal depolarization in another class. It is shown that each depolarization family and degree of freedom can be produced by averaging two non-depolarizing Mueller matrix generators. This is extended to provide further insight on two sample measurements, which are analyzed using the matrix roots decomposition. Chapter 4 discusses additional properties of the Mueller matrix roots generators and parameters, along with a pupil aberration application of the matrix roots decomposition. Appendix C, adapted from a conference proceedings paper, presents an application of the matrix roots depolarization parameters for estimating the orientation of a one-dimensionally textured object. The last two chapters are on the topic of polarization computer generated holography. In chapter 5, an interlaced polarization computer-generated hologram (PCGH) is designed to produce specific irradiance and polarization states in the image plane. The PCGH produces a tangentially polarized annular pattern with correlated speckle, which is achieved by a novel application of a diffuser optimization method. Alternating columns of orthogonal linear polarizations illuminate an interlaced PCGH, producing a ratio of polarization of 88% measured on a fabricated sample. In chapter 6, an etched calcite square-wave retarder is designed, fabricated, and demonstrated as an illuminator for an interlaced polarization computer generated hologram (PCGH). The calcite square-wave retarder enables alternating columns of orthogonal linear polarizations to illuminate the interlaced PCGH. Together, these components produce a speckled, tangentially polarized PCGH diffraction pattern with a measured ratio of polarization of 84% and a degree of linear polarization of 0.81. An experimental alignment tolerance analysis is also reported.
|
9 |
Inferência de hidrometeoros a partir de um radar meteorológico de dupla polarização banda X / Inference of hydrometeors from a X-band dual polarization meteorological radar.Ramirez, Yusvelis Maribel Barzaga 12 July 2018 (has links)
Este estudo apresentou uma metodologia para inferir hidrometeoros a partir de medidas polarimétricas de um radar meteorológico de dupla polarização banda X. A metodologia consiste em uma abordagem teórica baseada em simulações numéricas com um modelo de espalhamento Mie (T M atrix e M ueller) e uma experimental pautada na aplicação de um algoritmo de classificação de hidrometeoros (Dolan and Rutledge [2009]). As si- mulações teóricas foram utilizadas para estudar os efeitos da distribuição de tamanho de gotas, temperatura dos hidrometeoros, ângulo de elevação e mistura de hidrometeoros a partir do fator de refletividade do radar (Z), refletividade diferencial (Z DR ), fase diferen- cial especifica (K DP ) e coeficiente de correlação( HV ). Os valores de Z DR são 0.5 dBZ maior para a frequência de banda X do que para um banda S. A partir de Z maior que 45 dBZ K DP começa a ficar maior que 0. Já HV começa a diminuir quando Z é maior que 25 dBZ. Não se observa variações significativas para o graupel, porém para granizo K DP é maior que 0 quando Z é maior que 15 dBZ, entretanto, para água, os valores são consideravelmente menores. Os efeitos de temperatura só são notados quando Z é maior que 60 dBZ. Ao analisar o efeito da elevação, observa-se que Z DR diminui com o aumento da elevação, sendo mais sensível para Z maiores, o mesmo efeito é observado para K DP e HV . Estas variações são mais sensíveis para água e granizo do que para o graupel. Comparando as distribuições exponencial e gama para considerar os efeitos da distribuição do tamanho de gotas para o caso da chuva, nota-se que a distribuição exponenciais é maior que a gama quando as gotas aumentam seu tamanho e diminui sua concentração, devido que na simulação teórica foi utilizado N 0 fixo.Ao analisar os efeitos da co-existência de água e graupel, temos que as gotas de água dominam o sinal de Z quando Z for maior que 30 dBZ, já K DP será positivo(negativo) quando Z for maior(menor) que 35 dBZ da água, desde que Z do graupel seja menor que 10 dBZ, já HV tende a ficar próximo de 1 quanto mais graupel é observado. Para a mistura de granizo e água, Z da água domina o do granizo quando Z é maior que 45 dBZ, K DP é maior(menor) que zero quando Z for maior (menor) que 25 dBZ desde que Z do granizo seja menor que 10 dBZ, já Z DR da água(granizo) domina o do granizo(água) quando Z for maior(menor) que 45 dBZ. Na parte experimental, dois casos observados durante o experimento de campo do Projeto CHUVA no Vale do Paraíba em 8 de Fevereiro e 22 de Março de 2012 foram utilizados. A classificação de hidrometeoros segundo Dolan and Rutledge [2009] indicaram a presença de chuva próximo da superfície proveniente de graupel e granizo. Acima dos 5 km foram identificados a presença de graupel,granizo e cristais de gelo. Ao examinar as regiões classificadas como granizo e graupel dentro da região de 0 e 15 C com os resultados teóricos, é possível explicar a presença concomitante de água e granizo e água e graupel nestas regiões. / This study presents a methodology for inferring hydrometeors from polarimetric mea- surements of a X band double polarization meteorological radar. The methodology consists of a theoretical approach based on numerical simulations with a Mie scattering model (T-Matrix and Mueller) and an experimental approach based on the application of a classification algorithm of hydrometeors (Dolan and Rutledge [2009]). The theoretical simulations were used to study the effects of droplet size distribution, hydrometeor tem- perature, elevation angle and mixture of hydrometeors from radar reflectivity factor (Z), differential reflectivity (Z DR ), specific differential phase (K DP ) and correlation coefficient ( HV ). The values of Z DR are 0.5 dBZ higher for the X band frequency than for the S band frequency. From Z greater than 45 dBZ, K DP starts to get higher than 0. When Z is greater than 25 dBZ, HV starts to decrease. No significant variations are observed for the graupel, however for hail, K DP is greater than 0 when Z is greater than 15 dBZ, but these values were much lower than for water. Temperature effects are only noticed when Z is greater than 60 dBZ. When analyzing the effect of elevation, it is observed that Z DR decreases with increasing elevation, being more sensitive to Z larger; the same effect is observed for K DP and HV . These variations are more sensitive to water and hail than to the graupel. Comparing the exponential and gamma distributions to consider the effects of droplet size distribution in the case of rain, it is noted that the exponential distribution is larger than the gamma when the droplets increase in size and decrease in concentration, due to the fact that in the simulation was used N 0 fixed. When analyzing the effects of co-existence of water and graupel, we have that the water droplets dominate the Z signal when Z is greater than 30 dBZ, K DP will be positive (negative) when Z is greater (lower) than 35 dBZ of water, since Z of the graupel is less than 10 dBZ and HV tends to be close to 1 when more graupel is observed. For the mixture of hail and water, Z of water dominates that of hail when Z is greater than 45 dBZ, K DP is larger (smaller) than zero when Z is larger (smaller) than 25 dBZ since Z of hail is less than 10 dBZ and Z DR of water (hail) dominates hail (water) when Z is greater (lower) than 45 dBZ. In the experimental part, two cases observed during the field experiment of the RAIN Project in Vale do Paraíba on February 8 and March 22, 2012 were used. The classification of hydrometeors according to Dolan and Rutledge [2009] indicated the presence of rain near the surface coming of graupel and hail. Above 5 km were identified the presence of graupel, hail and ice crystals. When examining the regions classified as hail and graupel within the region of 0 and 15 C with the theoretical results, it is possible to explain the concomitant presence of water and hail and water and graupel in these regions.
|
10 |
Inferência de hidrometeoros a partir de um radar meteorológico de dupla polarização banda X / Inference of hydrometeors from a X-band dual polarization meteorological radar.Yusvelis Maribel Barzaga Ramirez 12 July 2018 (has links)
Este estudo apresentou uma metodologia para inferir hidrometeoros a partir de medidas polarimétricas de um radar meteorológico de dupla polarização banda X. A metodologia consiste em uma abordagem teórica baseada em simulações numéricas com um modelo de espalhamento Mie (T M atrix e M ueller) e uma experimental pautada na aplicação de um algoritmo de classificação de hidrometeoros (Dolan and Rutledge [2009]). As si- mulações teóricas foram utilizadas para estudar os efeitos da distribuição de tamanho de gotas, temperatura dos hidrometeoros, ângulo de elevação e mistura de hidrometeoros a partir do fator de refletividade do radar (Z), refletividade diferencial (Z DR ), fase diferen- cial especifica (K DP ) e coeficiente de correlação( HV ). Os valores de Z DR são 0.5 dBZ maior para a frequência de banda X do que para um banda S. A partir de Z maior que 45 dBZ K DP começa a ficar maior que 0. Já HV começa a diminuir quando Z é maior que 25 dBZ. Não se observa variações significativas para o graupel, porém para granizo K DP é maior que 0 quando Z é maior que 15 dBZ, entretanto, para água, os valores são consideravelmente menores. Os efeitos de temperatura só são notados quando Z é maior que 60 dBZ. Ao analisar o efeito da elevação, observa-se que Z DR diminui com o aumento da elevação, sendo mais sensível para Z maiores, o mesmo efeito é observado para K DP e HV . Estas variações são mais sensíveis para água e granizo do que para o graupel. Comparando as distribuições exponencial e gama para considerar os efeitos da distribuição do tamanho de gotas para o caso da chuva, nota-se que a distribuição exponenciais é maior que a gama quando as gotas aumentam seu tamanho e diminui sua concentração, devido que na simulação teórica foi utilizado N 0 fixo.Ao analisar os efeitos da co-existência de água e graupel, temos que as gotas de água dominam o sinal de Z quando Z for maior que 30 dBZ, já K DP será positivo(negativo) quando Z for maior(menor) que 35 dBZ da água, desde que Z do graupel seja menor que 10 dBZ, já HV tende a ficar próximo de 1 quanto mais graupel é observado. Para a mistura de granizo e água, Z da água domina o do granizo quando Z é maior que 45 dBZ, K DP é maior(menor) que zero quando Z for maior (menor) que 25 dBZ desde que Z do granizo seja menor que 10 dBZ, já Z DR da água(granizo) domina o do granizo(água) quando Z for maior(menor) que 45 dBZ. Na parte experimental, dois casos observados durante o experimento de campo do Projeto CHUVA no Vale do Paraíba em 8 de Fevereiro e 22 de Março de 2012 foram utilizados. A classificação de hidrometeoros segundo Dolan and Rutledge [2009] indicaram a presença de chuva próximo da superfície proveniente de graupel e granizo. Acima dos 5 km foram identificados a presença de graupel,granizo e cristais de gelo. Ao examinar as regiões classificadas como granizo e graupel dentro da região de 0 e 15 C com os resultados teóricos, é possível explicar a presença concomitante de água e granizo e água e graupel nestas regiões. / This study presents a methodology for inferring hydrometeors from polarimetric mea- surements of a X band double polarization meteorological radar. The methodology consists of a theoretical approach based on numerical simulations with a Mie scattering model (T-Matrix and Mueller) and an experimental approach based on the application of a classification algorithm of hydrometeors (Dolan and Rutledge [2009]). The theoretical simulations were used to study the effects of droplet size distribution, hydrometeor tem- perature, elevation angle and mixture of hydrometeors from radar reflectivity factor (Z), differential reflectivity (Z DR ), specific differential phase (K DP ) and correlation coefficient ( HV ). The values of Z DR are 0.5 dBZ higher for the X band frequency than for the S band frequency. From Z greater than 45 dBZ, K DP starts to get higher than 0. When Z is greater than 25 dBZ, HV starts to decrease. No significant variations are observed for the graupel, however for hail, K DP is greater than 0 when Z is greater than 15 dBZ, but these values were much lower than for water. Temperature effects are only noticed when Z is greater than 60 dBZ. When analyzing the effect of elevation, it is observed that Z DR decreases with increasing elevation, being more sensitive to Z larger; the same effect is observed for K DP and HV . These variations are more sensitive to water and hail than to the graupel. Comparing the exponential and gamma distributions to consider the effects of droplet size distribution in the case of rain, it is noted that the exponential distribution is larger than the gamma when the droplets increase in size and decrease in concentration, due to the fact that in the simulation was used N 0 fixed. When analyzing the effects of co-existence of water and graupel, we have that the water droplets dominate the Z signal when Z is greater than 30 dBZ, K DP will be positive (negative) when Z is greater (lower) than 35 dBZ of water, since Z of the graupel is less than 10 dBZ and HV tends to be close to 1 when more graupel is observed. For the mixture of hail and water, Z of water dominates that of hail when Z is greater than 45 dBZ, K DP is larger (smaller) than zero when Z is larger (smaller) than 25 dBZ since Z of hail is less than 10 dBZ and Z DR of water (hail) dominates hail (water) when Z is greater (lower) than 45 dBZ. In the experimental part, two cases observed during the field experiment of the RAIN Project in Vale do Paraíba on February 8 and March 22, 2012 were used. The classification of hydrometeors according to Dolan and Rutledge [2009] indicated the presence of rain near the surface coming of graupel and hail. Above 5 km were identified the presence of graupel, hail and ice crystals. When examining the regions classified as hail and graupel within the region of 0 and 15 C with the theoretical results, it is possible to explain the concomitant presence of water and hail and water and graupel in these regions.
|
Page generated in 0.0786 seconds