@inbook{16505, abstract = {{We present an approach for real-time rendering of complex 3D scenes consisting of millions of polygons on limited graphics hardware. In a preprocessing step, powerful hardware is used to gain fine granular global visibility information of a scene using an adaptive sampling algorithm. Additively the visual influence of each object on the eventual rendered image is estimated. This influence is used to select the most important objects to display in our approximative culling algorithm. After the visibility data is compressed to meet the storage capabilities of small devices, we achieve an interactive walkthrough of the Power Plant scene on a standard netbook with an integrated graphics chipset.}}, author = {{Eikel, Benjamin and Jähn, Claudius and Fischer, Matthias}}, booktitle = {{Advances in Visual Computing}}, isbn = {{9783642172885}}, issn = {{0302-9743}}, title = {{{Preprocessed Global Visibility for Real-Time Rendering on Low-End Hardware}}}, doi = {{10.1007/978-3-642-17289-2_60}}, year = {{2010}}, } @article{13887, author = {{Schröder, Andreas and Rautenberg, Jens and Henning, Bernd}}, issn = {{1875-3892}}, journal = {{Physics Procedia}}, pages = {{1003--1009}}, title = {{{Evaluation of cost functions for FEA based transducer optimization}}}, doi = {{10.1016/j.phpro.2010.01.129}}, year = {{2010}}, } @inproceedings{22050, abstract = {{Generative production techniques have the advantage of manufacturing parts via an additive process without needing a forming tool. One of these additive manufacturing technologies is “Fused Deposition Modeling” (FDM). From a 3D-CAD data set, components and assemblies are manufactured out of thermoplastic material in only a few working steps. Native software automatically slices the data, calculates the support structures, and creates toolpaths. The parts then are built up layer by layer by means of an additive process. An extrusion head deposits the molten thermoplastic filament to create each layer. This technology began as a process for creating prototype parts; recently it has found new utility in the production of manufacturing tools and as a manufacturing process for end-use parts. In order to be used as a part for serial production, the components must possess the required mechanical properties. To this end, not only is the chosen material relevant, but a correct process control is also necessary. An interesting material for the aircraft and automotive industry is the material PEI with the trade name Ultem*9085. This material should typically be used on FDM-machines for the manufacturing of end products. The aim of the research is to determine the present mechanical data based on the process control, as well as reproducibility from job to job. In this work the influence of the orientation and the structure of the manufactured parts based on the mechanical data are analyzed. Sample parts are generated with the given parameters of the native software based upon the CAD data. First, specimens were analyzed concerning their geometry and configuration. The dimensions and weight were measured. The mechanical tests conducted were the tensile and compression tests.}}, author = {{Bagsik, A. and Schöppner, Volker and Klemp, E.}}, booktitle = {{Proceedings of International Conference Polymeric Materials}}, isbn = {{978-3-868-29282-4}}, title = {{{FDM Part Quality Manufactured with ULTEM 9085}}}, doi = {{https://docplayer.net/255735-Fdm-part-quality-manufactured-with-ultem-9085.html}}, year = {{2010}}, } @inbook{36036, author = {{Schlegel-Matthies, Kirsten}}, booktitle = {{Auf dem Weg zum Jugendintegrationskonzept. Grundlagen und Herausforderungen angesichts veränderter Lebenslagen junger Menschen}}, editor = {{Müller, Christine and Schulz, Franziska and Thien, Ulrich}}, isbn = {{9783643105103}}, pages = {{247 -- 250}}, publisher = {{Lit-Verlag}}, title = {{{Überschuldung - Bildungsbezogene Perspektive}}}, year = {{2010}}, } @inproceedings{46408, abstract = {{The integration of experts’ preferences is an important aspect in multi-objective optimization. Usually, one out of a set of Pareto optimal solutions has to be chosen based on expert knowledge. A combination of multi-objective particle swarm optimization (MOPSO) with the desirability concept is introduced to efficiently focus on desired and relevant regions of the true Pareto front of the optimization problem which facilitates the solution selection process. Desirability functions of the objectives are optimized, and the desirability index is used for selecting the global best particle in each iteration. The resulting MOPSO variant DF-MOPSO in most cases exclusively generates solutions in the desired area of the Pareto front. Approximations of the whole Pareto front result in cases of misspecified desired regions.}}, author = {{Mostaghim, Sanaz and Trautmann, Heike and Mersmann, Olaf}}, booktitle = {{Parallel Problem Solving from Nature, PPSN XI}}, editor = {{Schaefer, Robert and Cotta, Carlos and Kołodziej, Joanna and Rudolph, Günter}}, isbn = {{978-3-642-15871-1}}, pages = {{101–110}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities}}}, doi = {{https://doi.org/10.1007/978-3-642-15871-1_11}}, year = {{2010}}, } @inproceedings{46405, abstract = {{We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the ’best’ one? and the second one: which algorithm should I use for my real world problem? Both are connected and neither is easy to answer. We present methods which can be used to analyse the raw data of a benchmark experiment and derive some insight regarding the answers to these questions. We employ the presented methods to analyse the BBOB’09 benchmark results and present some initial findings.}}, author = {{Mersmann, Olaf and Preuss, Mike and Trautmann, Heike}}, booktitle = {{Proceedings of the 11th International Conference on Parallel Problem Solving from Nature: Part I}}, isbn = {{3642158439}}, keywords = {{benchmarking, multidimensional scaling, consensus ranking, evolutionary optimization, BBOB test set}}, pages = {{73–82}}, publisher = {{Springer-Verlag}}, title = {{{Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis}}}, year = {{2010}}, } @inproceedings{46406, abstract = {{We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the 'best' one? and the second one: which algorithm should I use for my real world problem? Both are connected and neither is easy to answer. We present methods which can be used to analyse the raw data of a benchmark experiment and derive some insight regarding the answers to these questions. We employ the presented methods to analyse the BBOB'09 benchmark results and present some initial findings.}}, author = {{Mersmann, O and Trautmann, Heike and Naujoks, B and Weihs, C}}, booktitle = {{Learning and Intelligent Optimization, 4$^th$ International Conference, LION 4, Venice, Italy}}, editor = {{Blum, C and Battiti, R}}, pages = {{333–337}}, publisher = {{Springer}}, title = {{{On the Distribution of EMOA Hypervolumes}}}, volume = {{6073}}, year = {{2010}}, } @inproceedings{46407, abstract = {{Choosing and tuning an optimization procedure for a given class of nonlinear optimization problems is not an easy task. One way to proceed is to consider this as a tournament, where each procedure will compete in different ‘disciplines’. Here, disciplines could either be different functions, which we want to optimize, or specific performance measures of the optimization procedure. We would then be interested in the algorithm that performs best in a majority of cases or whose average performance is maximal. We will focus on evolutionary multiobjective optimization algorithms (EMOA), and will present a novel approach to the design and analysis of evolutionary multiobjective benchmark experiments based on similar work from the context of machine learning. We focus on deriving a consensus among several benchmarks over different test problems and illustrate the methodology by reanalyzing the results of the CEC 2007 EMOA competition.}}, author = {{Mersmann, Olaf and Trautmann, Heike and Naujoks, Boris and Weihs, Claus}}, booktitle = {{IEEE Congress on Evolutionary Computation}}, issn = {{1941-0026}}, pages = {{1--8}}, title = {{{Benchmarking evolutionary multiobjective optimization algorithms}}}, doi = {{10.1109/CEC.2010.5586241}}, year = {{2010}}, } @inproceedings{46409, abstract = {{Since many real-world optimization problems are noisy, vector optimization algorithms that can cope with noise and uncertainty are required. We propose new, robust selection strategies for evolutionary multi-objective optimization in the presence of noise. We apply new measures of uncertainty for estimating the recently introduced Pareto-dominance for uncertain and noisy environments (PDU). The first measure is the inter-quartile range of the outcomes of repeated function evaluations. The second is based on axis-aligned bounding boxes around the upper and lower quantiles of the sampled fitness values in objective space. Experiments on real and artificial problems show promising results.}}, author = {{Voß, Thomas and Trautmann, Heike and Igel, Christian}}, booktitle = {{Parallel Problem Solving from Nature, PPSN XI}}, editor = {{Schaefer, Robert and Cotta, Carlos and Kołodziej, Joanna and Rudolph, Günter}}, isbn = {{978-3-642-15871-1}}, pages = {{260–269}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization}}}, doi = {{https://doi.org/10.1007/978-3-642-15871-1_27}}, year = {{2010}}, } @article{46412, abstract = {{In this paper, a concept for efficiently approximating the practically relevant regions of the Pareto front (PF) is introduced. Instead of the original objectives, desirability functions (DFs) of the objectives are optimized, which express the preferences of the decision maker. The original problem formulation and the optimization algorithm do not have to be modified. DFs map an objective to the domain [0, 1] and nonlinearly increase with better objective quality. By means of this mapping, values of different objectives and units become comparable. A biased distribution of the solutions in the PF approximation based on different scalings of the objectives is prevented. Thus, we propose the integration of DFs into the S-metric selection evolutionary multiobjective algorithm. The transformation ensures the meaning of the hypervolumes internally computed. Furthermore, it is shown that the reference point for the hypervolume calculation can be set intuitively. The approach is analyzed using standard test problems. Moreover, a practical validation by means of the optimization of a turning process is performed.}}, author = {{Wagner, Tobias and Trautmann, Heike}}, issn = {{1941-0026}}, journal = {{IEEE Transactions on Evolutionary Computation}}, number = {{5}}, pages = {{688--701}}, title = {{{Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions}}}, doi = {{10.1109/TEVC.2010.2058119}}, volume = {{14}}, year = {{2010}}, } @inproceedings{46410, abstract = {{The design and application of termination criteria has become an important aspect in evolutionary multi-objective optimization. Online convergence detection (OCD) determines when further generations are no longer promising based on statistical tests on a set of performance indicators. The behavior of OCD mainly depends on two parameters, the number of preceding generations considered in the statistical tests and the desired variance limit. In this paper, guidelines for selecting appropriate combinations of these parameters are empirically derived based on design-of-experiment methods. Furthermore, a variant of OCD is introduced which directly operates on the hypervolume indicator - the internal measure of the SMS-EMOA. This allows a separated analysis of the variance criterion and reduces the complexity of OCD. Based on the experimental design, a systematic comparison with the classical OCD approach is performed and differences between the appropriate parameterizations of both variants are highlighted.}}, author = {{Wagner, Tobias and Trautmann, Heike}}, booktitle = {{IEEE Congress on Evolutionary Computation}}, issn = {{1941-0026}}, pages = {{1--8}}, title = {{{Online convergence detection for evolutionary multi-objective algorithms revisited}}}, doi = {{10.1109/CEC.2010.5586474}}, year = {{2010}}, } @article{54942, abstract = {{Loss-of-function mutations of the epithelial sodium channel (ENaC) may contribute to pulmonary symptoms resembling those of patients with atypical cystic fibrosis (CF). Recently, we identified a loss-of-function mutation in the alpha-subunit of ENaC (alphaF61L) in an atypical CF patient without mutations in CFTR. To investigate the functional effect of this mutation, we expressed human wild-type alpha beta gamma-ENaC or mutant alpha(F61L) beta gamma-ENaC in Xenopus laevis oocytes. The alphaF61L mutation reduced the ENaC mediated whole-cell currents by approximately 90%. In contrast, the mutation decreased channel surface expression only by approximately 40% and did not alter the single-channel conductance. These findings indicate that the major effect of the mutation is a reduction of the average channel open probability (P(o)). This was confirmed by experiments using the betaS520C mutant ENaC which can be converted to a channel with a P(o) of nearly one, and by experiments using chymotrypsin to proteolytically activate the channel. These experiments revealed that the mutation reduced the average P(o) of ENaC by approximately 75%. Na(+) self inhibition of the mutant channel was significantly enhanced, but the observed effect was too small to account for the large reduction in average channel P(o). The ENaC-activator S3969 partially rescued the loss-of-function phenotype of the alphaF61L mutation. We conclude that the alphaF61L mutation may contribute to respiratory symptoms in atypical CF patients.}}, author = {{Huber, Regina and Krueger, Bettina and Diakov, Alexei and Korbmacher, Judit and Haerteis, Silke and Einsiedel, Jürgen and Gmeiner, Peter and Azad, Abul and Cuppens, Harry and Cassiman, Jean-Jaques and Korbmacher, Christoph and Rauh, Robert}}, journal = {{Cellular Physiology and Biochemistry}}, number = {{001}}, pages = {{145–158}}, publisher = {{S. Karger AG}}, title = {{{Functional Characterization of a Partial Loss-of-Function Mutation of the Epithelial Sodium Channel (ENaC) Associated with Atypical Cystic Fibrosis}}}, doi = {{10.1159/000272059}}, volume = {{25}}, year = {{2010}}, } @article{27886, author = {{Bigga, Regine and Schlegel-Matthies, Kirsten}}, journal = {{Haushalt & Bildung}}, number = {{3}}, pages = {{48--57}}, title = {{{Verbraucherbildung und Konsum – Was wissen Studierende? – Überlegungen zur Hochschuldidaktik}}}, volume = {{87}}, year = {{2010}}, } @inproceedings{40846, abstract = {{In this paper we characterize the capacity boundary of the two-user multiple-input multiple-output (MIMO) broadcast channel (BC) when the multiantenna terminals use analog beamforming at both sides of the link. Basically, the problem reduces to finding the optimal transmit direction and the optimal power allocation between users to operate at any point on the boundary. We show that both optimization problems can be solved in closed form. First, exploiting the fact that any Pareto optimal pair of rates must also be Pareto optimal of a convex region defined by the channel energies, the optimal transmit direction is shown to be the principal eigenvector of a matrix. Second, the optimal power allocation is obtained by exploiting again the Pareto optimality of the sought pair of rates. Although this paper focuses on the BC, the obtained results also serve to characterize the dual multiple-access channel (MAC). Moreover, this explicit characterization of the boundary can be extended to a $K$-user system for $K>2$. Numerical examples are provided to illustrate the results of the paper, and to show the enlargement of the capacity region achieved by analog beamforming in comparison to a single-input single-output (SISO) BC.}}, author = {{Santamaría, Ignacio and Vía, Javier and Nazábal, Alfredo and Lameiro, Christian}}, booktitle = {{Proc. Int. ICST Conf. Comm. and Networking in China}}, title = {{{Capacity region of the multiantenna Gaussian broadcast channel with analog TX-RX beamforming}}}, year = {{2010}}, } @article{18558, abstract = {{We present an implementation of the GW approximation for the electronic self-energy within the full-potential linearized augmented-plane-wave (FLAPW) method. The algorithm uses an all-electron mixed product basis for the representation of response matrices and related quantities. This basis is derived from the FLAPW basis and is exact for wave-function products. The correlation part of the self-energy is calculated on the imaginary-frequency axis with a subsequent analytic continuation to the real axis. As an alternative we can perform the frequency convolution of the Green function G and the dynamically screened Coulomb interaction W explicitly by a contour integration. The singularity of the bare and screened interaction potentials gives rise to a numerically important self-energy contribution, which we treat analytically to achieve good convergence with respect to the k-point sampling. As numerical realizations of the GW approximation typically suffer from the high computational expense required for the evaluation of the nonlocal and frequency-dependent self-energy, we demonstrate how the algorithm can be made very efficient by exploiting spatial and time-reversal symmetry as well as by applying an optimization of the mixed product basis that retains only the numerically important contributions of the electron-electron interaction. This optimization step reduces the basis size without compromising the accuracy and accelerates the code considerably. Furthermore, we demonstrate that one can employ an extrapolar approximation for high-lying states to reduce the number of empty states that must be taken into account explicitly in the construction of the polarization function and the self-energy. We show convergence tests, CPU timings, and results for prototype semiconductors and insulators as well as ferromagnetic nickel.}}, author = {{Friedrich, Christoph and Blügel, Stefan and Schindlmayr, Arno}}, issn = {{1550-235X}}, journal = {{Physical Review B}}, number = {{12}}, publisher = {{American Physical Society}}, title = {{{Efficient implementation of the GW approximation within the all-electron FLAPW method}}}, doi = {{10.1103/PhysRevB.81.125102}}, volume = {{81}}, year = {{2010}}, } @article{45772, author = {{Herzel, Frank and Osmany, Sabbir A. and Scheytt, J. Christoph}}, journal = {{IEEE Transactions on Circuits and Systems I: Regular Papers}}, number = {{8}}, pages = {{1914--1924}}, title = {{{Analytical Phase-Noise Modeling and Charge Pump Optimization for Fractional-$N$ PLLs}}}, volume = {{57}}, year = {{2010}}, } @article{18560, abstract = {{We present a computational scheme to study spin excitations in magnetic materials from first principles. The central quantity is the transverse spin susceptibility, from which the complete excitation spectrum, including single-particle spin-flip Stoner excitations and collective spin-wave modes, can be obtained. The susceptibility is derived from many-body perturbation theory and includes dynamic correlation through a summation over ladder diagrams that describe the coupling of electrons and holes with opposite spins. In contrast to earlier studies, we do not use a model potential with adjustable parameters for the electron-hole interaction but employ the random-phase approximation. To reduce the numerical cost for the calculation of the four-point scattering matrix we perform a projection onto maximally localized Wannier functions, which allows us to truncate the matrix efficiently by exploiting the short spatial range of electronic correlation in the partially filled d or f orbitals. Our implementation is based on the full-potential linearized augmented-plane-wave method. Starting from a ground-state calculation within the local-spin-density approximation (LSDA), we first analyze the matrix elements of the screened Coulomb potential in the Wannier basis for the 3d transition-metal series. In particular, we discuss the differences between a constrained nonmagnetic and a proper spin-polarized treatment for the ferromagnets Fe, Co, and Ni. The spectrum of single-particle and collective spin excitations in fcc Ni is then studied in detail. The calculated spin-wave dispersion is in good overall agreement with experimental data and contains both an acoustic and an optical branch for intermediate wave vectors along the [100] direction. In addition, we find evidence for a similar double-peak structure in the spectral function along the [111] direction. To investigate the influence of static correlation we finally consider LSDA+U as an alternative starting point and show that, together with an improved description of the Fermi surface, it yields a more accurate quantitative value for the spin-wave stiffness constant, which is overestimated in the LSDA.}}, author = {{Şaşıoğlu, Ersoy and Schindlmayr, Arno and Friedrich, Christoph and Freimuth, Frank and Blügel, Stefan}}, issn = {{1550-235X}}, journal = {{Physical Review B}}, number = {{5}}, publisher = {{American Physical Society}}, title = {{{Wannier-function approach to spin excitations in solids}}}, doi = {{10.1103/PhysRevB.81.054434}}, volume = {{81}}, year = {{2010}}, } @phdthesis{25872, author = {{Mahajan, Kiran}}, publisher = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}}, title = {{{A combined simulation and optimization based method for predictive-reactive scheduling of flexible production systems subject to execution exceptions}}}, volume = {{263}}, year = {{2009}}, } @article{26893, author = {{Shi, Lijie and Wudy, Stefan A and Buyken, Anette and Hartmann, Michaela F and Remer, Thomas}}, issn = {{0002-9165}}, journal = {{The American Journal of Clinical Nutrition}}, pages = {{1321--1328}}, title = {{{Body fat and animal protein intakes are associated with adrenal androgen secretion in children}}}, doi = {{10.3945/ajcn.2009.27964}}, year = {{2009}}, } @article{26894, author = {{Karaolis-Danckert, Nadina and Buyken, Anette and Sonntag, Antje and Kroke, Anja}}, issn = {{0002-9165}}, journal = {{The American Journal of Clinical Nutrition}}, pages = {{1559--1565}}, title = {{{Birth and early life influences on the timing of puberty onset: results from the DONALD (DOrtmund Nutritional and Anthropometric Longitudinally Designed) Study}}}, doi = {{10.3945/ajcn.2009.28259}}, year = {{2009}}, }