TY - CONF AU - Böckelmann, Irina AU - Schenk, Daniel AU - Rößler, Thoralf AU - Adler, Simon AU - Senft, Björn AU - Grubert, Jens AU - Mecke, Rüdiger AU - Huckauf, Anke AU - Urbina, Mario AU - Tümler, Johannes AU - Darius, Sabine ID - 7535 TI - Physiologische Beanspruchungsreaktionen bei der Anwendung von kopfgetragenen AR-Displays ER - TY - CONF AU - Klompmaker, Florian AU - Senft, Björn AU - Nebe, Karsten AU - Busch, Clemens AU - Willemsen, Detlev ID - 7536 T2 - {HEALTHINF} 2011 - Proceedings of the International Conference on Health Informatics, Rome, Italy, 26-29 January, 2011 TI - User Centered Design Process of OSAMi-D - Developing User Interfaces for a Remote Ergometer Training Application ER - TY - JOUR AU - Kremer, H.-Hugo AU - Tramm, T. ID - 7604 JF - bwp@ Berufs- und Wirtschaftspädagogik - online TI - Berufliche Bildung 2011, Fachtagung 19 ER - TY - CONF AU - Krauter, Stefan ID - 8348 T2 - Proceedings of Decentralized Power Systems (DPS) 2011, Paderborn (Deutschland), 2. September 2011. TI - The Challenge of Renewable Energies & Decentralized Power Systems – State of the Art, Potentials & Perspectives ER - TY - CONF AB - Performance is an important quality attribute for business information systems. When a tester has spotted a performance error, the error is passed to the software developers to fix it. However, in component-based software development the tester has to do blame analysis first, i. e. the tester has to decide, which party is responsible to fix the error. If the error is a design or deployment issue, it can be assigned to the software architect or the system deployer. If the error is specific to a component, it needs to be assigned to the corresponding component developer. An accurate blame analysis is important, because wrong assignments of errors will cause a loss of time and money. Our approach aims at doing blame analysis for performance errors by comparing performance metrics obtained in performance testing and performance prediction. We use performance prediction values as expected values for individual components. For performance prediction we use the Palladio approach. By this means, our approach evaluates each component’s performance in a certain test case. If the component performs poorly, its component developer needs to fix the component or the architect replaces the component with a faster one. If no omponent performs poorly, we can deduce that there is a design or deployment issue and the architecture needs to be changed. In this paper, we present an exemplary blame analysis based on a web shop system. The example shows the feasibility of our approach. AU - Brüseke, Frank AU - Becker, Steffen AU - Engels, Gregor ID - 8471 T2 - Proceedings of the 16th International Workshop on Component-Oriented Programming (WCOP; satellite event of the CompArch 2011), Boulder Colorado, CO (USA) TI - Palladio-based performance blame analysis ER - TY - CONF AU - Nagel, Benjamin ID - 8472 T2 - Proceedings of the Software Engineering 2011 (SE 2011), Karlsruhe (Germany) TI - Semi-automatische Ableitung externer Anpassungsmechanismen für selbst-adaptive Systeme ER - TY - GEN AU - Jovanovikj, Ivan ID - 8841 TI - Search on Semi-Structured Data using Lucene Search Engine ER - TY - CHAP AU - Beutner, Marc ED - Häcker, Th ED - Bartel, K ED - Peters, K ID - 9589 T2 - Lehrerbildung phasenübergreifend denken. Facetten einer bundesweiten Debatte TI - Kompetenzbegriff und Evaluation im beruflichen Bildungswesen ER - TY - CHAP AU - Flotmann, Christina AU - Tönnies, Merle ED - Tönnies, Merle ED - Flotmann-Scholz, Christina ID - 9726 T2 - Narrative in Drama: CDE Studies 18 TI - Introducing Narrative in Drama VL - 18 ER - TY - JOUR AB - The multi-objective optimal design of a piezoelectric sandwich ultrasonic transducer is studied. The maximum vibration amplitude and the minimum electrical input power are considered as optimization objectives. Design variables involve continuous variables (dimensions of the transducer) and discrete variables (material types). Based on analytical models, the optimal design is formulated as a constrained multi-objective optimization problem. The optimization problem is then solved by using the elitist non-dominated sorting genetic algorithm (NSGA-II) and Pareto-optimal designs are obtained. The optimized results are analyzed and the preferred design is proposed. The optimization procedure presented in this contribution can be applied in multi-objective optimization problems of other piezoelectric transducers. AU - Hemsel, Tobias AU - Fu, Bo AU - Jing, Yi AU - Fu, Xuan ID - 9765 JF - Key Engineering Materials TI - Multi-Objective Optimization of a Piezoelectric Sandwich Ultrasonic Transducer by Using Elitist Non-Dominated Sorting Genetic Algorithm VL - 474 - 476 ER -