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11	Plataforma computacional híbrida de coprocessamento paralelo distribuído por web services aplicada à radiointerferometria Silva, Gustavo Poli Lameirão da 19 August 2013 (has links) Made available in DSpace on 2016-06-02T19:03:58Z (GMT). No. of bitstreams: 1 5593.pdf: 13078959 bytes, checksum: 1cc88a226e87c0a4ca26af32176acea5 (MD5) Previous issue date: 2013-08-19 / Financiadora de Estudos e Projetos / The requirements imposed by the new applications presents great challenges to the computation. There is not a perfect computer architecture, capable to attend to all the requirements. The parallel and hybrid computer arrangement rise as a solution to this scenario i.e., the CPU-Coprocessor pair arrangement can form a specialized computerized instrument for a special application task. This doctoral thesis proposes a parallel and hybrid computational platform denoted CoP-WS, that uses the interoperability technology known as Web Services. As coprocessor it is used the graphic processing unit, known as the GPU, functioning recently as parallel thread level processing of general use applications. The platform test of feasibility was inspired in radio astronomy, and it has been implemented two applications: a complex correlator of signals provided by a radio interferometric arrangement, and a flare recognition system with a solar radio interferometer image. Both processings can be inserted in the context of pipeline execution, using sufficient configuration of CPU-GPU pairs, having on one side the interferometric arrangement antenna signal input and in the other side the result of the solar flare recognition. The obtained results of the both applications show the feasibility of the CoP-WS platform, for greater volume of data being processed in quasi real time. In the case of the correlator the average processing time in each integration period was around 160 ms, and in the case of the solar flare recognition, 48 ms for each solar disk image. / Os requisitos impostos pelas novas aplicações, sejam estas científicas, ou não, apresentam grandes desafios à computação. Não existe uma arquitetura de computadores "perfeita" que seja capaz de atender a todos estes requisitos. A configuração de arranjos paralelos e híbridos de computadores se apresenta como uma solução para este cenário, ou seja, a configuração de arranjos de pares CPU-Coprocessador, pode ser especializada para o processamento de uma aplicação distintas. Este trabalho de doutorado propõe uma plataforma computacional paralela e híbrida distribuída denominada CoP-WS, que utiliza a tecnologia de interoperabilidade conhecida como Web Services. Como coprocessador é utilizada a unidade de processamento gráfico conhecida como GPU, cuja função tem sido de processamento paralelo ao nível de threads, para aplicações gerais nos últimos tempos. A prova de viabilidade da plataforma implementada foi inspirada na radioastronomia, tendo sido implementados dois aplicativos: um correlacionador complexo de sinais provindos dos arranjos interferométricos e um sistema para o reconhecimento de explosões solares, numa imagem de radiointerferometria solar. Ambos os processamentos podem ser inseridos num contexto de execução em pipeline, usando uma configuração suficiente de pares CPU-GPU, tendo de um lado a entrada dos sinais das antenas do arranjo interferométrico e do outro lado o resultado do processamento de reconhecimento de explosões solares. Em ambas aplicações os resultados foram satisfatórios sendo que no caso do correlacionador o tempo médio de processamento de cada ciclo de integração foi de aproximadamente 160 ms, e para a aplicação de reconhecimento de explosões solares, de 48 ms por imagem de disco solar. Arquitetura de computador GPU CUDA Rádiointerferometria Correlação de sinais complexos Arquitetura paralela e híbrida Web service Correlacionador de sinais Reconhecimento de explosões solares Architecture parallel hybrid Sinal correlator Solar flare recognition
12	Systematische, rechnergestützte Generierung konventioneller und hybrider Antriebsstränge für automobile Anwendungen Müller, Jörg 11 May 2011 (has links) Im Vortrag werden die komplexen und teilweise konträren Herausforderungen an zukünftige automobile Antriebsstränge und Getriebesysteme vorgestellt. Die klassische Suche nach neuen Antriebssträngen, basierend auf Intuition und Expertenwissen, kann diesen vielseitigen Zielstellungen kaum noch gerecht werden. Aus diesem Grund wird ein neuer methodischer Ansatz vorgestellt, mit dem konventionelle und hybride Getriebekonzepte rechnergestützt generiert werden können. Die Voraussetzung dafür bildet die eindeutige und kompakte mathematische Abbildung von beliebigen Getriebesystemen oder ganzen Antriebssträngen im Computer auf Basis eines Wellenmodells. Diese Codierung lässt sich effizient hinsichtlich diverser kinematischer und kinetischer Belastungen für frei wählbare Freiheitsgrade analysieren. Die rechnergestützte Synthese und Bewertung neuer Getriebe wird am Beispiel von Planetenautomatikgetrieben vorgestellt, wobei alle kombinatorisch möglichen konventionellen und hybriden Systeme Beachtung finden. Beispielsweise werden für eine aktuell typische Anzahl an Planetenradsätzen und Schaltelementen mehrere hundert Milliarden Getriebevarianten untersucht. Am Ende eines Syntheselaufs werden dem Entwicklungsingenieur die besten Systeme in einem Ranking vorgeschlagen. Der Vortrag schließt mit der Vorstellung exemplarischer Ergebnisse dieser neuen Entwicklungsmethode. Das neue Achtgang-Hybrid-Automatikgetriebe und das neue Neungang-Hybrid-Doppelkupplungsgetriebe verdeutlichen die Entwicklungspotentiale zukünftiger Getriebesysteme, bei denen hochfunktionale und effiziente Eigenschaften mit kleinstmöglichem mechanischem Aufwand, geringen Kosten und Bauraum kombiniert werden. Die IAV GmbH nutzt dieses Entwicklungstool erfolgreich zur Erzeugung von verschiedenen Getriebearten, wie Planetenautomatikgetrieben, Doppelkupplungsgetrieben, Handschaltgetrieben und stufenlos leistungsverzweigten Getrieben mit mechanischem oder elektrischem Variator. info:eu-repo/classification/ddc/629 ddc:629
13	Assessing the potential of fuel saving and emissions reduction of the bus rapid transit system in Curitiba, Brazil Dreier, Dennis January 2015 (has links) The transport sector contributes significantly to global energy use and emissions due to its traditional dependency on fossil fuels. Climate change, security of energy supply and increasing mobility demand is mobilising governments around the challenges of sustainable transport. Immediate opportunities to reduce emissions exist through the adoption of new bus technologies, e.g. advanced powertrains. This thesis analysed energy use and carbon dioxide (CO2) emissions of conventional, hybrid-electric, and plug-in hybrid-electric city buses including two-axle, articulated, and biarticulated chassis types (A total of 6 bus types) for the operation phase (Tank-to-Wheel) in Curitiba, Brazil. The systems analysis tool – Advanced Vehicle Simulator (ADVISOR) and a carbon balance method were applied. Seven bus routes and six operation times for each (i.e. 42 driving cycles) are considered based on real-world data. The results show that hybrid-electric and plug-in hybrid-electric two-axle city buses consume 30% and 58% less energy per distance (MJ/km) compared to a conventional two-axle city bus (i.e. 17.46 MJ/km). Additionally, the energy use per passenger-distance (MJ/pkm) of a conventional biarticulated city bus amounts to 0.22 MJ/pkm, which is 41% and 24% lower compared to conventional and hybrid-electric two-axle city buses, respectively. This is mainly due to the former’s large passenger carrying capacity. Large passenger carrying capacities can reduce energy use (MJ/pkm) if the occupancy rate of the city bus is sufficient high. Bus routes with fewer stops decrease energy use by 10-26% depending on the city bus, because of reductions in losses from acceleration and braking. The CO2 emissions are linearly proportional to the estimated energy use following from the carbon balance method, e.g. CO2 emissions for a conventional two-axle city bus amount to 1299 g/km. Further results show that energy use of city bus operation depends on the operation time due to different traffic conditions and driving cycle characteristics. An additional analysis shows that energy use estimations can vary strongly between considered driving cycles from real-world data. The study concludes that advanced powertrains with electric drive capabilities, large passenger carrying capacities and bus routes with a fewer number of bus stops are beneficial in terms of reducing energy use and CO2 emissions of city bus operation in Curitiba. advanced powertrain Advanced Vehicle Simulator ADVISOR Brazil BRT bus rapid transit carbon dioxide CO2 city bus Curitiba driving cycle emissions energy consumption energy efficiency energy use fuel economy hybrid propulsion hybrid-electric parallel hybrid passenger carrying capacity plug-in hybrid-electric Tank-to-Wheel analysis vehicle simulation Analyse Brasilien Emissionen Energieeffizienz Energienutzung Energieverbrauch Fahrzeugsimulation Fahrzeugwirkungsgrad Fahrzyklus Fortschrittlicher Antriebsstrang Hybridantrieb Hybridelektrofahrzeug Kohlenstoffdioxid Kraftstoffverbrauch Passagiertransportkapazität Schnellbussystem Stadtbus Steckdosen-Hybrid Vollhybrid analys bränsleförbrukning drivlina energianvändning energieffektivit energiförbrukning fordonssimulering hybriddrift koldioxidutsläpp körcykel laddhybrid passagerarkapacitet stadsbuss strombuss Energy Engineering Energiteknik Energy Systems Energisystem Vehicle Engineering Farkostteknik

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