@article{AslanNahavandiTaymazetal.2012, author = {Aslan, Erman and Nahavandi, A. and Taymaz, I. and Benim, Ali Cemal}, title = {A note on modelling non-rectangular boundaries by the Lattice Boltzmann Method}, series = {Progress in Computational Fluid Dynamics, An International Journal}, volume = {12}, journal = {Progress in Computational Fluid Dynamics, An International Journal}, number = {6}, publisher = {inderscience}, doi = {10.1504/pcfd.2012.049815}, pages = {433 -- 438}, year = {2012}, language = {en} } @inproceedings{RuessVarduhnRanketal.2012, author = {Ruess, Martin and Varduhn, Vasco and Rank, Ernst and Yosibash, Zohar}, title = {A Parallel High-Order Fictitious Domain Approach for Biomechanical Applications}, series = {11th International Symposium on Parallel and Distributed Computing (ISPDC), 2012 : 25 - 29 June 2012, Munich, Germany ; proceedings}, booktitle = {11th International Symposium on Parallel and Distributed Computing (ISPDC), 2012 : 25 - 29 June 2012, Munich, Germany ; proceedings}, editor = {Bader, Michael}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-4673-2599-8}, doi = {10.1109/ISPDC.2012.45}, pages = {279 -- 285}, year = {2012}, language = {en} } @article{WinklerBeckerDoolanetal.2012, author = {Winkler, Michael and Becker, Klaus and Doolan, Con and Kameier, Frank and Paschereit, Christian Oliver}, title = {Aeroacoustic Effects of a Cylinder-Plate Configuration}, series = {AIAA Journal}, volume = {50}, journal = {AIAA Journal}, number = {7}, publisher = {ARC}, doi = {10.2514/1.j051578}, pages = {1614 -- 1620}, year = {2012}, language = {en} } @article{YangRuessKollmannsbergeretal.2012, author = {Yang, Z. and Ruess, Martin and Kollmannsberger, Stefan and D{\"u}ster, Alexander and Rank, Ernst}, title = {An efficient integration technique for the voxel-based finite cell method}, series = {International Journal for Numerical Methods in Engineering}, volume = {91}, journal = {International Journal for Numerical Methods in Engineering}, number = {5}, publisher = {Wiley}, issn = {1097-0207}, doi = {10.1002/nme.4269}, pages = {457 -- 471}, year = {2012}, language = {en} } @article{PeterFichtlRulandetal.2012, author = {Peter, Maximilian and Fichtl, Matthias B. and Ruland, Holger and Kaluza, Stefan and Muhler, Martin and Hinrichsen, Olaf}, title = {Detailed kinetic modeling of methanol synthesis over a ternary copper catalyst}, series = {Chemical Engineering Journal}, volume = {203}, journal = {Chemical Engineering Journal}, publisher = {Elsevier}, issn = {0009-2509}, doi = {10.1016/j.cej.2012.06.066}, pages = {480 -- 491}, year = {2012}, language = {en} } @article{StuhlsatzLippelZielke2012, author = {Stuhlsatz, Andr{\´e} and Lippel, Jens and Zielke, Thomas}, title = {Feature extraction with deep neural networks by a generalized discriminant analysis}, series = {IEEE transactions on neural networks and learning systems}, volume = {23}, journal = {IEEE transactions on neural networks and learning systems}, number = {4}, publisher = {IEEE}, doi = {10.1109/tnnls.2012.2183645}, pages = {596 -- 608}, year = {2012}, abstract = {We present an approach to feature extraction that is a generalization of the classical linear discriminant analysis (LDA) on the basis of deep neural networks (DNNs). As for LDA, discriminative features generated from independent Gaussian class conditionals are assumed. This modeling has the advantages that the intrinsic dimensionality of the feature space is bounded by the number of classes and that the optimal discriminant function is linear. Unfortunately, linear transformations are insufficient to extract optimal discriminative features from arbitrarily distributed raw measurements. The generalized discriminant analysis (GerDA) proposed in this paper uses nonlinear transformations that are learnt by DNNs in a semisupervised fashion. We show that the feature extraction based on our approach displays excellent performance on real-world recognition and detection tasks, such as handwritten digit recognition and face detection. In a series of experiments, we evaluate GerDA features with respect to dimensionality reduction, visualization, classification, and detection. Moreover, we show that GerDA DNNs can preprocess truly high-dimensional input data to low-dimensional representations that facilitate accurate predictions even if simple linear predictors or measures of similarity are used.}, language = {en} } @article{CarapezzaBarberiRanaldietal.2012, author = {Carapezza, M. L. and Barberi, F. and Ranaldi, M. and Ricci, T. and Tarchini, L. and Barrancos, J. and Fischer, C. and Granieri, D. and Lucchetti, C. and Melian, G. and Perez, N. and Tuccimei, P. and Vogel, A. and Weber, Konradin}, title = {Hazardous gas emissions from the flanks of the quiescent Colli Albani volcano (Rome, Italy)}, series = {Applied Geochemistry}, volume = {27}, journal = {Applied Geochemistry}, number = {9}, publisher = {Elsevier}, doi = {10.1016/j.apgeochem.2012.02.012}, pages = {1767 -- 1782}, year = {2012}, language = {en} } @article{FleigerReichardtTreiber2012, author = {Fleiger, P. M. and Reichardt, Roland and Treiber, K.}, title = {High-Precision Power Measurement for the Grindability Test According to Zeisel}, series = {Chemical Engineering \& Technology}, volume = {35}, journal = {Chemical Engineering \& Technology}, number = {11}, publisher = {Wiley}, doi = {10.1002/ceat.201200118}, pages = {1941 -- 1948}, year = {2012}, language = {en} } @article{MaqablehAmmourahKhadrawietal.2012, author = {Maqableh, A. M. and Ammourah, S. A. and Khadrawi, A. F. and Al-Nimr, M. A. and Benim, Ali Cemal}, title = {Hydrodynamics behaviour of a fluid flow in micro-venturi}, series = {Candian Journal of Physics}, volume = {90}, journal = {Candian Journal of Physics}, number = {1}, publisher = {Canadian Science Publishing}, organization = {Canadian Science Publishing}, doi = {10.1139/p11-145}, pages = {83 -- 89}, year = {2012}, language = {en} } @article{GlembinAdamDeidertetal.2012, author = {Glembin, Jens and Adam, Mario and Deidert, J{\"o}rn and Jagnow, Kati and Rockendorf, Gunter and Wirth, Hans Peter}, title = {Simulation and Evaluation of Different Boiler Implementations and Configurations in Solar Thermal Combi Systems}, series = {Energy Procedia}, volume = {30}, journal = {Energy Procedia}, publisher = {Elsevier}, doi = {10.1016/j.egypro.2012.11.070}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-27350}, pages = {601 -- 610}, year = {2012}, language = {en} } @article{SchillingerRuessZanderetal.2012, author = {Schillinger, Dominik and Ruess, Martin and Zander, Nils and Bazilevs, Yuri and D{\"u}ster, Alexander and Rank, Ernst}, title = {Small and large deformation analysis with the p- and B-spline versions of the Finite Cell Method}, series = {Computational Mechanics}, volume = {50}, journal = {Computational Mechanics}, number = {4}, publisher = {Springer}, issn = {1432-0924}, doi = {10.1007/S00466-012-0684-Z}, pages = {445 -- 478}, year = {2012}, language = {en} } @article{GaidaWolfMeyeretal.2012, author = {Gaida, Daniel and Wolf, Christian and Meyer, C. and Stuhlsatz, Andr{\´e} and Lippel, Jens and B{\"a}ck, T. and Bongards, M. and McLoone, S.}, title = {State estimation for anaerobic digesters using the ADM1}, series = {Water science and technology}, volume = {66}, journal = {Water science and technology}, number = {5}, publisher = {IWA Publishing}, doi = {10.2166/wst.2012.286}, pages = {1088 -- 1095}, year = {2012}, abstract = {The optimization of full-scale biogas plant operation is of great importance to make biomass a competitive source of renewable energy. The implementation of innovative control and optimization algorithms, such as Nonlinear Model Predictive Control, requires an online estimation of operating states of biogas plants. This state estimation allows for optimal control and operating decisions according to the actual state of a plant. In this paper such a state estimator is developed using a calibrated simulation model of a full-scale biogas plant, which is based on the Anaerobic Digestion Model No.1. The use of advanced pattern recognition methods shows that model states can be predicted from basic online measurements such as biogas production, CH4 and CO2 content in the biogas, pH value and substrate feed volume of known substrates. The machine learning methods used are trained and evaluated using synthetic data created with the biogas plant model simulating over a wide range of possible plant operating regions. Results show that the operating state vector of the modelled anaerobic digestion process can be predicted with an overall accuracy of about 90\%. This facilitates the application of state-based optimization and control algorithms on full-scale biogas plants and therefore fosters the production of eco-friendly energy from biomass.}, language = {en} } @article{BozKaluzaBoroğluetal.2012, author = {Boz, İsmail and Kaluza, Stefan and Boroğlu, Mehtap Şafak and Muhler, Martin}, title = {Synthesis of high surface area ZnO powder by continuous precipitation}, series = {Materials Research Bulletin}, volume = {47}, journal = {Materials Research Bulletin}, number = {5}, publisher = {Elsevier}, issn = {1873-4227}, doi = {10.1016/j.materresbull.2012.02.005}, pages = {1185 -- 1190}, year = {2012}, language = {en} } @article{RuessTalTrabelsietal.2012, author = {Ruess, Martin and Tal, David and Trabelsi, Nir and Yosibash, Zohar and Rank, Ernst}, title = {The finite cell method for bone simulations: verification and validation}, series = {Biomechanics and modeling in mechanobiology}, volume = {11}, journal = {Biomechanics and modeling in mechanobiology}, number = {3-4}, publisher = {Springer}, organization = {Springer}, issn = {1617-7940}, doi = {10.1007/s10237-011-0322-2}, pages = {425 -- 437}, year = {2012}, language = {en} } @article{ZanderKollmannsbergerRuessetal.2012, author = {Zander, Nils and Kollmannsberger, Stefan and Ruess, Martin and Yosibash, Z. and Rank, Ernst}, title = {The Finite Cell Method for linear thermoelasticity}, series = {Computers \& Mathematics with Applications}, volume = {64}, journal = {Computers \& Mathematics with Applications}, number = {11}, publisher = {Elsevier}, issn = {0898-1221}, doi = {10.1016/j.camwa.2012.09.002}, pages = {3527 -- 3541}, year = {2012}, language = {en} }