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EpiDoc®: plataforma de comunicação em epidemiologia / EpiDoc® : a communication platform in epidemiologyHumberto Reynales Londoño 01 April 2008 (has links)
Introdução: EpiDoc® é um modelo para transferência de conhecimento na área de metodologia da pesquisa. Está baseado no conceito de estratégias de colaboração para a aprendizagem (learning communities ou communities of practice) mediante a união de esforços entre os interesses comuns de um grupo de profissionais. O objetivo deste projeto é desenvolver uma plataforma de comunicação para a transferência de conhecimento e desenvolvimento de competências em uma comunidade de prática de metodologia da pesquisa em saúde. Métodos:. A plataforma de comunicação está desenvolvido com a tecnologia de páginas de servidor ASP (Active Server Pages), interagindo com uma base de dados Microsoft SQL Server 2000. Na fase da avaliação, tomou-se uma amostra de 38 pessoas para responder a pesquisa de opinião de 84 perguntas que inclui as diferentes áreas a avaliar como são os conteúdos, a tecnologia, o ambiente educativo, os problemas e dificuldades, assim como os elementos positivos do processo de aprendizagem. Resultados: A plataforma divide-se basicamente em 2 zonas, uma pública e outra privada, e pode ser observado em inglês, espanhol e português. A plataforma conta com os seguintes módulos: Controle de acesso; biblioteca; administração de cursos; apresentações; assinatura de usuários para distribuição eletrônica de materiais educativos; correio eletrônico e correio massivo; salas virtuais de Chat; foros de discussão; manipulação de documentos entre tutores e usuários; aplicação de provas de avaliação para os usuários; geração automática de certificados; métricas e relatórios de atividades. A avaliação foi feita com uma amostra de 38 estudantes de um curso de Epidemiologia Clínica. O 94 % dos estudantes ficaram satisfeitos ou muito satisfeitos com a experiência de aprendizagem. O 95% considerou que tinha adquirido novas habilidades de comunicação e colaboração ao estudar por meio virtual. Para o 76% facilitou-se o trabalho em equipe, assim como para o 84% melhorou a capacidade para aprender dos demais, interagindo entre outros. Conclusão: EpiDoc® utiliza uma plataforma ou mecanismo de comunicação baseado em tecnologias modernas por meio de Internet. Os resultados em geral confirmam que as novas tecnologias aplicadas ao processo de ensino da metodologia da pesquisa são bem recebidas por parte dos estudantes. Há uma atitude positiva em relação ao fato de incorporar esta modalidade em seus cursos regulares. / Introduction: Epidoc® is a model for the transference of knowledge in the field or research methodology. It is based on the concept of collaboration strategies for learning (learning communities or communities of practice) by the joint effort among common interests of a professional group. The objective of this project is to develop a communication platform for the knowledge transference and developing of competences in a community which practices the Research Methodology in the health field. Methods: The communication platform was designed with a technology of ASP (Active Server Pages) interacting with a Microsoft SQL Server 2000 data base. For the evaluation phase a sample of 38 people was taken to answer an opinion questionnaire of 84 questions which include the different areas to evaluate such as the contents, the technology, the learning environment, the problems and the difficulties and also all the positive elements of the learning process. Results: The communication platform is divided in two zones, one public and one private and is available in three different languajes: English, Spanish and Portuguese. The platform contains the following modules: access control; library; courses administration; presentations; subscriptions for electronic distribution of educational materials; electronic and massive mail; Chat virtual rooms; discussion forums; documents management between users and mentors; implementation of evaluation test for the users; generation of certificates; metrics and activities reports. The evaluation was implemented with a sample of 38 students from a Clinical Epidemiology course. 94% of the students were satisfied or very satisfied by the learning experience. 95% considered that they had acquired new communication and collaboration abilities at studying by the virtual way. For 76% the group work was eased as for 84% noticed an improve capacity to learn form the others, interacting among others. Conclusion: EpiDoc uses a platform of communication based in modern technologies by theinternet. In general, the results confirm that the new technologies applied to the teaching process of research methodology are very welcomed by the students. They have a positive attitude toward the fact of incorporating this modality in their regular courses.
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Interleaved Prefetching Ray Traversal on CPUsMeyer, Viktor January 2021 (has links)
Ray tracing is used in computer graphics to generate images. The process of rendering images using ray tracing includes testing large counts of rays for intersection against geometry. Testing for ray-geometry intersection is more formally known as the Ray Shooting Problem (RSP) and has broad applications across multiple communities. Hierarchical acceleration structures are frequently employed to index geometry and increase processing speed. Such hierarchical structures make it almost impossible for central processing units to predict memory access and branching patterns. This project focuses on the Bounding Volume Hierarchy (BVH) structure and improving its performance when querying large batches of first hit ray-geometry intersections. The core contribution is an Interleaved Prefetching Ray Traversal (IPRT) algorithm that addresses memory and branching issues. Five standardized test scenarios with varying geometric complexity provide evaluation data. The experimental evaluation suggests that for incoherent rays, IPRT achieves 6:1 - 41:8% faster performance compared to Stackless Traversal. However, for fully coherent rays, performance is 68:8 - 149:1% slower. These results suggest that for select ray tracing workloads that elicit low coherence, the IPRT algorithm is likely to outperform Stackless Traversal. A microarchitectural analysis affirms previous research; memory accesses and branching behavior are critical for performance. Surprisingly, addressing each component in isolation yields no significant performance improvement. It is paramount to address the two simultaneously, as the IPRT algorithm does successfully. / Ray tracing används inom datorgrafik för att generera bilder. Att rendera bilder med ray tracing kräver att datorer simulerar stora mängder ljusstrålar i en virtuell miljö. Problemet att beräkna om en stråle träffar geometri är mer formellt känt som Ray Shooting Problem (RSP) och har breda applikationer inom flera områden. Hierarkiska accelerationsstrukturer används ofta för att indexera geometri och öka beräkningshastighet. Sådana hierarkiska strukturer gör det nästan omöjligt för centrala processorenheter att förutsäga minnesåtkomst och förgreningsmönster. Detta projekt fokuserar på Bounding Volume Hierarchy (BVH) strukturen och dess prestanda. En ny algoritm tas fram för att behandla dessa identifierade problem: Interleaved Prefetching Ray Traversal (IPRT). Fem standardiserade testscener med varierande geometrisk komplexitet används för experimentell utvärdering. Den experimentella utvärderingen antyder i jämförelse med Stackless Traversal så uppnår IPRT-algoritmen 6:1 - 41:8% bättre prestanda för osammanhängande strålar. När det gäller helt sammanhängande strålar är prestandan dock 68:8 - 149:1% långsammare. En mikroarkitektisk analys bekräftar tidigare forskning; minnesåtkomst och förgreningsbeteende är mycket viktigt för prestanda. Isolerad optimering av faktorerna ger dessvärre ingen signifikant prestandaförbättring. Det är därför ytterst viktigt att optimera båda komponenter samtidigt, vilket IPRT-algoritmen lyckas med.
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Learning Finite State Machine Specifications from Test Cases / Lernen von Spezifikationen in Form von endlichen Zustandsmaschinen aus TestfällenWerner, Edith Benedicta Maria 01 June 2010 (has links)
No description available.
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Modellierung dynamischer Prozesse mit radialen Basisfunktionen / Modeling of dynamical processes using radial basis functionsDittmar, Jörg 20 August 2010 (has links)
No description available.
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Local- and Cluster Weighted Modeling for Prediction and State Estimation of Nonlinear Dynamical Systems / Lokale- und Cluster-Weighted-Modellierung zur Vorhersage und Zustandsschätzung nichtlinearer dynamischer SystemeEngster, David 24 August 2010 (has links)
No description available.
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Analyse von Translationsstarts in prokaryotischen Genomen mit Methoden des Maschinellen Lernens / Analysis of translation initiation sites in prokaryotic genomes with machnine learning methodsTech, Maike 02 November 2007 (has links)
No description available.
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Funktions- / Strukturorientierte Pflanzenmodellierung in E-Learning-Szenarien. / Functional / Structural Plant Modelling in E-Learning ScenariosLanwert, Dirk 08 June 2007 (has links)
No description available.
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Bayes Filters with Improved Measurements for Visual Object Tracking / Bayes Filter mit verbesserter Messung für das Tracken visueller ObjekteLiu, Guoliang 20 March 2012 (has links)
No description available.
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Algorithms and Data Structures for Parametric Analysis of Real-Time Systems / Algorithmen und Datenstrukturen für parametrisierten Analyse von Echt-Zeit SystemsChamuczynski, Patryk 16 February 2009 (has links)
No description available.
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Theoretical Studies of the Dynamics of Action Potential Initiation and its Role in Neuronal Encoding / Theoretische Studie über die Dynamik der Aktionspotentialauslösung und seine Rolle in neuronaler KodierungWei, Wei 21 January 2011 (has links)
No description available.
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