The World Trade Organization, competition policy, and developing countries: A cross -country examination of domestic policy actions

This dissertation addresses the following research question: in a particular policy area, why do countries that display unanimity in their international policy behavior diverge from each other in their domestic policy actions? I address this question in the context of the divergent domestic competition policy actions undertaken by developing countries during the period 1996-2007, after these countries had quite conspicuously displayed near-unanimity in opposing this policy measure at the World Trade Organization (WTO). This divergence is puzzling because (a) it does not align with their near-unanimous behavior at the WTO over competition policy and (b) it is at variance with the objectives of their international opposition to this policy at the WTO. Using an interdisciplinary approach, this dissertation examines the factors responsible for this divergence in the domestic competition policy actions of developing countries. ^ The theoretical structure employed in this study is the classic second-image-reversed framework in international relations theory that focuses on the domestic developments in various countries following an international development. Methodologically, I employ both quantitative and qualitative methods of analysis to ascertain the nature of the relationship between the dependent variable and the eight explanatory variables that were identified from existing literature. The data on some of the key variables used in this dissertation was uniquely created over a multi-year period through extensive online research and represents the most comprehensive and updated dataset currently available. ^ The quantitative results obtained from logistic regression using data on 131 countries point toward the significant role played by international organizations in engineering change in this policy area in developing countries. The qualitative analysis consisting of three country case studies illuminate the channels of influence of the explanatory variables and highlight the role of domestic-level factors in these three carefully selected countries. After integrating the findings from the quantitative and qualitative analyses, I conclude that a mix of international- and domestic-level variables explains the divergence in domestic competition policy actions among developing countries. My findings also confirm the argument of the second-image-reversed framework that, given an international development or situation, the policy choices that states make can differ from each other and are mediated by domestic-level factors. ^

Towards Detecting Changes in Underwater Image Sequences

Detecting changes between images of the same scene taken at different times is of great interest for monitoring and understanding the environment. It is widely used for on-land application but suffers from different constraints. Unfortunately, Change detection algorithms require highly accurate geometric and photometric registration. This requirement has precluded their use in underwater imagery in the past. In this paper, the change detection techniques available nowadays for on-land application were analyzed and a method to automatically detect the changes in sequences of underwater images is proposed. Target application scenarios are habitat restoration sites, or area monitoring after sudden impacts from hurricanes or ship groundings. The method is based on the creation of a 3D terrain model from one image sequence over an area of interest. This model allows for synthesizing textured views that correspond to the same viewpoints of a second image sequence. The generated views are photometrically matched and corrected against the corresponding frames from the second sequence. Standard change detection techniques are then applied to find areas of difference. Additionally, the paper shows that it is possible to detect false positives, resulting from non-rigid objects, by applying the same change detection method to the first sequence exclusively. The developed method was able to correctly find the changes between two challenging sequences of images from a coral reef taken one year apart and acquired with two different cameras

Towards Detecting Changes in Underwater Image Sequences

Detecting changes between images of the same scene taken at different times is of great interest for monitoring and understanding the environment. It is widely used for on-land application but suffers from different constraints. Unfortunately, Change detection algorithms require highly accurate geometric and photometric registration. This requirement has precluded their use in underwater imagery in the past. In this paper, the change detection techniques available nowadays for on-land application were analyzed and a method to automatically detect the changes in sequences of underwater images is proposed. Target application scenarios are habitat restoration sites, or area monitoring after sudden impacts from hurricanes or ship groundings. The method is based on the creation of a 3D terrain model from one image sequence over an area of interest. This model allows for synthesizing textured views that correspond to the same viewpoints of a second image sequence. The generated views are photometrically matched and corrected against the corresponding frames from the second sequence. Standard change detection techniques are then applied to find areas of difference. Additionally, the paper shows that it is possible to detect false positives, resulting from non-rigid objects, by applying the same change detection method to the first sequence exclusively. The developed method was able to correctly find the changes between two challenging sequences of images from a coral reef taken one year apart and acquired with two different cameras

Iwo Jima Photo Album, Image 42

Two images. First image shows several Japanese landing crafts wrecked against the shore of Beach Blue2. Caption; "Wrecked Japanese landing craft on beach Blue 2. Suribachi can be seen in the background." Second image shows the gun turret of a U.S. Nacy ship, with additional ships in the background. Caption; "Steaming toward the objective."

Iwo Jima Photo Album, Image 43

Two images. First image shows a wrecked Japanese batleship washed ashore, with a figure in the foreground. Caption; "Wrecked Japanese landing craft on the beach." Second image shows Landing Ship, Tanks (LSTs) unloading cargo as Marines rest on the beach. Includes a stack of drums in the foreground and additional ships and construction equipment in the background. Caption; "LSTs unloading on south eastern beaches."

Iwo Jima Photo Album, Image 44

Two images. First image shows the remains of a Japanese fighter plane. Caption; "Wrecked Japanese aircraft on Motoyama field No. 1." Second image shows the remains of a Japanese tank in a fortified bunker. Caption; "Emplaced Japanese Tank used as Pillbox."

Iwo Jima Photo Album, Image 45

Two images. First image shows a wrecked ship and tank on a beach with a large ship in the background. Caption; "Surf pounding wrecked landing craft that were stopped on the beach." Second image shows numerous Japanese vessels on a beach. Caption; "Wrecked Japanese craft littered the beaches."

Iwo Jima Photo Album, Image 46

Two images. First image shows the view from Mt. Suribachi, looking down on the southeastern beaches with a ship near the shore. Caption; "From atop Mt. Suribachi looking down southeastern beaches." Second image is an aerial view that shows a base of operations on the western beaches, with a large number of vehicles and material surrounded by a road and a cargo ship approaching the shore. Caption; "Unloading on the western beaches."

Iwo Jima Photo Album, Image 47

Two images. First image shows the view of encampment on the western beaches from atop Mt. Suribachi. Numerous tents and small structures are visible near the foreground of the image. Caption; "Looking down western beach from atop Mt. Suribachi." Second image shows a large stack of artillery shell cases. Caption; "Empty artillery shell cases after morning preparation."

Iwo Jima Photo Album, Image 48

Two images of destroyed Japanese ships and landing craft on a beach; Marines inspect the wreckage in first image and are gathered on the beach near the ships in second image. Caption; "Beached Japanese Landing Craft - detroyed prior to invasion by bombing and naval gunfire."

Fatty liver automatic diagnosis from ultrasound images

In this paper an automatic classification algorithm is proposed for the diagnosis of the liver steatosis, also known as, fatty liver, from ultrasound images. The features, automatically extracted from the ultrasound images used by the classifier, are basically the ones used by the physicians in the diagnosis of the disease based on visual inspection of the ultrasound images. The main novelty of the method is the utilization of the speckle noise that corrupts the ultrasound images to compute textural features of the liver parenchyma relevant for the diagnosis. The algorithm uses the Bayesian framework to compute a noiseless image, containing anatomic and echogenic information of the liver and a second image containing only the speckle noise used to compute the textural features. The classification results, with the Bayes classifier using manually classified data as ground truth show that the automatic classifier reaches an accuracy of 95% and a 100% of sensitivity.

Efeito da estocagem a curto prazo e da temperatura sobre gametas de jundiá, Rhamdia quelen (Quoy & Gaimard, 1824)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Casamento de modelos baseado em projeções radiais e circulares invariante a pontos de vista.

Este trabalho aborda o problema de casamento entre duas imagens. Casamento de imagens pode ser do tipo casamento de modelos (template matching) ou casamento de pontos-chaves (keypoint matching). Estes algoritmos localizam uma região da primeira imagem numa segunda imagem. Nosso grupo desenvolveu dois algoritmos de casamento de modelos invariante por rotação, escala e translação denominados Ciratefi (Circula, radial and template matchings filter) e Forapro (Fourier coefficients of radial and circular projection). As características positivas destes algoritmos são a invariância a mudanças de brilho/contraste e robustez a padrões repetitivos. Na primeira parte desta tese, tornamos Ciratefi invariante a transformações afins, obtendo Aciratefi (Affine-ciratefi). Construímos um banco de imagens para comparar este algoritmo com Asift (Affine-scale invariant feature transform) e Aforapro (Affine-forapro). Asift é considerado atualmente o melhor algoritmo de casamento de imagens invariante afim, e Aforapro foi proposto em nossa dissertação de mestrado. Nossos resultados sugerem que Aciratefi supera Asift na presença combinada de padrões repetitivos, mudanças de brilho/contraste e mudanças de pontos de vista. Na segunda parte desta tese, construímos um algoritmo para filtrar casamentos de pontos-chaves, baseado num conceito que denominamos de coerência geométrica. Aplicamos esta filtragem no bem-conhecido algoritmo Sift (scale invariant feature transform), base do Asift. Avaliamos a nossa proposta no banco de imagens de Mikolajczyk. As taxas de erro obtidas são significativamente menores que as do Sift original.

Dental School Memorial

Built 1908. Donaldson & Meier, architects. Facing North University; addition to northside (rear) 1923. Removed 1969. Image reversed.