National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Modeling of Exhaust Manifold for Turbocharged Engine
Fanta, Tomáš ; Beran, Martin (referee) ; Svída, David (advisor)
This work describes different structural designs of the exhaust manifold and creation of parametric models of exhaust downpipes of supercharged engine 1,4 TSI. Next, the study deals with exhaust manifold’s materials and with present basic principles of thermodynamic and hydrodynamic. Then two parametric models were modelled in Solidworks software. First model was made according to existing exhaust manifold of engine 1,4 TSI. It was symmetrical model (collector in the axis). For second parametric model the collector was moved in horizontal direction, so this model is asymmetrical. Both models were evaluated considering their complexity of structural design and their manufacturing claims. Finally the possibility of CFD analysis for evaluation of parametric models was studied.
Metrics for Optimizing Statistical Machine Translation
Macháček, Matouš ; Bojar, Ondřej (advisor) ; Popel, Martin (referee)
State-of-the-art MT systems use so called log-linear model, which combines several components to predict the probability of the translation of a given sentence. Each component has its weight in the log-linear model. These weights are generally trained to optimize BLEU, but there are many alternative automatic metrics and some of them correlate better with human judgments than BLEU. We explore various metrics (PER, WER, CDER, TER, BLEU and SemPOS) in terms of correlation with human judgments. Metric SemPOS is examined in more detail and we propose some approximations and variants. We use the examined metrics to train Czech to English MT system using MERT method and explore how optimizing toward various automatic evaluation metrics affects the resulting model.
Metrics for Optimizing Statistical Machine Translation
Macháček, Matouš ; Bojar, Ondřej (advisor) ; Popel, Martin (referee)
State-of-the-art MT systems use so called log-linear model, which combines several components to predict the probability of the translation of a given sentence. Each component has its weight in the log-linear model. These weights are generally trained to optimize BLEU, but there are many alternative automatic metrics and some of them correlate better with human judgments than BLEU. We explore various metrics (PER, WER, CDER, TER, BLEU and SemPOS) in terms of correlation with human judgments. Metric SemPOS is examined in more detail and we propose some approximations and variants. We use the examined metrics to train Czech to English MT system using MERT method and explore how optimizing toward various automatic evaluation metrics affects the resulting model.
Modeling of Exhaust Manifold for Turbocharged Engine
Fanta, Tomáš ; Beran, Martin (referee) ; Svída, David (advisor)
This work describes different structural designs of the exhaust manifold and creation of parametric models of exhaust downpipes of supercharged engine 1,4 TSI. Next, the study deals with exhaust manifold’s materials and with present basic principles of thermodynamic and hydrodynamic. Then two parametric models were modelled in Solidworks software. First model was made according to existing exhaust manifold of engine 1,4 TSI. It was symmetrical model (collector in the axis). For second parametric model the collector was moved in horizontal direction, so this model is asymmetrical. Both models were evaluated considering their complexity of structural design and their manufacturing claims. Finally the possibility of CFD analysis for evaluation of parametric models was studied.

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