Inaug. - diss. - Leipzig.

Thesis ( M.A. ) -- University of Texas at Arlington, 2008.

In this thesis, I chose to identify and evaluate different monitoring methods on surgeon specific outcomes in colorectal surgery. An initial literature search identified different methods that were applied to a cohort of colorectal patients operated on by general surgeons using an electronic hospital database. Surgeon specific complications were validated with a chart review. General surgeons at The Ottawa Hospital were surveyed on their opinions regarding monitoring outcomes. We can conclude that different methods may be needed as they are dependent heavily on specified target limits. With our derived cohort, we had adequate risk adjustment using a modified Escobar model for 30 day mortality and morbidity. These complications were derived from electronic algorithms and had excellent specificity and sensitivity. General surgeons at The Ottawa Hospital have different opinions regarding monitoring their outcomes and surgeon engagement is necessary to make monitoring fruitful for patients, public, hospital administration, and surgeons.

In this thesis, I chose to identify and evaluate different monitoring methods on surgeon specific outcomes in colorectal surgery. An initial literature search identified different methods that were applied to a cohort of colorectal patients operated on by general surgeons using an electronic hospital database. Surgeon specific complications were validated with a chart review. General surgeons at The Ottawa Hospital were surveyed on their opinions regarding monitoring outcomes. We can conclude that different methods may be needed as they are dependent heavily on specified target limits. With our derived cohort, we had adequate risk adjustment using a modified Escobar model for 30 day mortality and morbidity. These complications were derived from electronic algorithms and had excellent specificity and sensitivity. General surgeons at The Ottawa Hospital have different opinions regarding monitoring their outcomes and surgeon engagement is necessary to make monitoring fruitful for patients, public, hospital administration, and surgeons.

Cette thèse présente une étude pour l'interprétation automatique d'images en milieu urbain. Nous proposons une application permettant de reconnaître différents monuments au sein d'images représentant des scènes complexes. La problématique principale est ici de différencier l'information locale extraite des points d'intérêt du bâtiment recherché parmi tous les points extraits de l'image. En effet, la particularité d'une image en milieu urbain vient de la nature publique de la scène. L'objet que l'on cherche à identifier est au milieu de divers autres objets pouvant interférer avec ce dernier. Nous présentons dans une première partie un état de l'art des méthodes de reconnaissance d’images en se concentrant sur l'utilisation de points d'intérêts locaux ainsi que des bases de données pouvant être employées lors des phases d'expérimentation. Nous retenons au final le modèle de sac de mots (BOW) appliqué aux descripteurs locaux SIFT (Scale-Invariant Feature Transform). Dans un second temps nous proposons une approche de classification des données locales faisant intervenir le modèle de machine à vecteurs de support (SVM). L'intérêt présenté dans cette approche proposée est le faible nombre de données requises lors de la phase d'entraînement des modèles. Différentes stratégies d'entraînement et de classification sont exposées ici. Une troisième partie suggère l'ajout d'une correction géométrique de la classification obtenue précédemment. Nous obtenons ainsi une classification non seulement de l'information locale mais aussi visuelle permettant ainsi une cohérence géométrique de la distribution des points d'intérêt. Enfin, un dernier chapitre présente les résultats expérimentaux obtenus, notamment sur des bâtiments de Paris et d'Oxford / This thesis presents a study for an automatic interpretation of urban images. We propose an application for the retrieval of different landmarks in images representing complex scenes. The main issue here is to differentiate the local information extracted from the key-points of the desired building from all the points extracted within the entire image. Indeed, an urban area image is specific by the public nature of the scene depicted. The object sought to be identified is fused within various other objects that can interfere. First of all, we present a state of the art about image recognition and retrieval methods focusing on local points of interest. Databases that can be used during the phases of experimentation are also exposed in a second chapter. We finally retain the Bag of Words modèle applied to local SIFT descriptors. In a second part, we propose a local data classification approach involving the Support Vector Machine model. The interest shown with this proposed approach is the low number of data required during the training phase of the models. Different training and classification strategies are also discussed. A third step suggests the addition of a geometric correction on the classification obtained previously. We thus obtain a classification not only for the local information but also for the visual information allowing thereby a geometric consistency of the points of interest. Finally, a last chapter presents the experimental results obtained, in particular involving images of buildings in Paris and Oxford

Detta är en studie om det går att använda vampyrer som inspirationskälla i undervisningen på högstadiet. Syftet är att besvara följande frågeställningar: Hur kan vampyrtemat motiveras och användas i klassrummet med skräcklitteratur som Dracula (1897) och Om jag kunde drömma (2005), som är första delen i Twilight serien, som utgångspunkt? Vilka modeller inom litteraturundervisning finns att tillämpa för vampyrtemat? För att besvara frågeställningarna har närläsning använts som metod. Resultatet visar att vampyren med all rätt kan användas som inspirationskälla i undervisningssyfte. Studien visar att man måste introducera skräcklitteratur med försiktighet och användandet av olika modeller är viktigt för att nå fram till samtliga elever. I studien presenteras valda modeller för läsundervisning som är applicerbara. Eftersom ämnet bjuder på många infallsvinklar torde man kunna fånga många elevers intresse och entusiasmera till fortsatt läsning. / This is a study on whether you can use vampires as a source of inspiration when teaching at upper secondary school level. Two questions form the basis for the study: How can the vampire theme be used in the classroom with horror literature as Dracula (1897) and Twilight (2005) as a foundation? Which models for teaching literature are available for the vampire theme? In order to answer the questions of the study close reading has been used as method. The result shows that the vampire by all means can be used as a source of inspiration for an   educational purpose. The study shows that you have to be cautious when you introduce   horror literature in class and the use of different models is important due to the fact that you want to reach all students. In the study a few selected models for teaching literature are presented that are applicable. Since the subject invites to a wide range of approaches one should be able to catch most of the student’s interest and inspire with enthusiasm.

This thesis is focused on comparing methods for similarity image retrieval. Common techniques and testing sets are introduced. The testing sets are there to measure the accuracy of the searching systems based on similarity image retrieval. Measurements are done on those models which are implemented on the basis of presented techniques. These measurements examine their results depending on the input data, used components and parameters settings, especially the impact of image resolution on the retrieval precision is examined. These results are analysed and the models are compared. Powered by TCPDF (www.tcpdf.org)