@article{27787, author = {{Cheng, Guo and Buyken, Anette and Shi, Lijie and Karaolis-Danckert, Nadina and Kroke, Anja and Wudy, Stefan A and Degen, Gisela H and Remer, Thomas}}, issn = {{0029-6643}}, journal = {{Nutrition Reviews}}, pages = {{133--152}}, title = {{{Beyond overweight: nutrition as an important lifestyle factor influencing timing of puberty}}}, doi = {{10.1111/j.1753-4887.2011.00461.x}}, year = {{2012}}, } @inproceedings{1128, abstract = {{Our purpose is to perform data record extraction from onlineevent calendars exploiting sublanguage and domain characteristics. We therefore use so-called domain-dependent data (D³) completely based on language-specific key expressions and HTML patterns to recognize every single event given on the investigated web page. One of the most remarkable advantages of our method is that it does not require any additional classification steps based on machine learning algorithms or keyword extraction methods; it is a so-called one-step mining technique. Moreover, another important criteria is that our system is robust to DOM and layout modifications made by web designers. Thus, preliminary experimental results are provided to demonstrate proof-of-concept of such an approach tested on websites in the German opera domain. Furthermore, we could show that our proposed technique outperforms other data record mining applications run on event sites.}}, author = {{Lee, Yeong Su and Geierhos, Michaela and Song, Sa-Kwang and Jung, Hanmin}}, booktitle = {{Software Technology: Prooceedings, International Conference, SoftTech 2012, Cebu, Philippines, May 2012}}, editor = {{Chang, Chin-Chen and Gelogo, Yvette E. and Caytiles, Ronnie E.}}, issn = {{22871233}}, location = {{Cebu, Philippines}}, pages = {{134--139}}, publisher = {{SERSC}}, title = {{{A Proof-of-Concept of D³ Record Mining using Domain-Dependent Data}}}, volume = {{5}}, year = {{2012}}, } @inproceedings{1884, author = {{Monien, Burkhard and Scheideler, Christian}}, booktitle = {{Euro-Par 2012 Parallel Processing - 18th International Conference, Euro-Par 2012, Rhodes Island, Greece, August 27-31, 2012. Proceedings}}, isbn = {{978-3-642-32819-0}}, pages = {{1----2}}, publisher = {{Springer}}, title = {{{Selfish Distributed Optimization}}}, doi = {{10.1007/978-3-642-32820-6_1}}, volume = {{7484}}, year = {{2012}}, } @inproceedings{22370, author = {{Hölscher, Christian and Zimmer, Detmar and Keßler, Jan Henning and Kruger, Martin and Trächtler, Ansgar}}, booktitle = {{IEEE International Conference on Industrial Informatics}}, isbn = {{978-1-467303-12-5}}, pages = {{1080--1085}}, publisher = {{Industrial Informatics (INDIN)}}, title = {{{Hierarchical optimization of coupled self-optimizing systems}}}, doi = {{10.1109/INDIN.2012.6301199}}, volume = {{10}}, year = {{2012}}, } @inproceedings{23156, author = {{Hölscher, Christian and Kessler, Jan Henning and Krüger, Martin and Trächtler, Ansgar and Zimmer, Detmar}}, booktitle = {{10th IEEE International Conference on Industrial Informatics}}, title = {{{Hierarchical Optimization of Coupled Self-optimizing Systems}}}, year = {{2012}}, } @inproceedings{23166, author = {{Ringkamp, Maik and Walther, Andrea and Reinold, Peter and Witting, Katrin and Dellnitz, Michael and Trächtler, Ansgar}}, booktitle = {{EVOLVE }}, title = {{{Using Algorithmic Differentiation for the Multiobjective Optimization of a Test Vehicle}}}, year = {{2012}}, } @article{21757, author = {{Koning, W. F.}}, journal = {{IEEE Computer Graphics and Applications}}, number = {{5}}, pages = {{81--83}}, publisher = {{IEEE}}, title = {{{Teaching 3D Computer Animation to Illustrators: The Instructor as Translator and Technical Director}}}, doi = {{10.1109/MCG.2012.106}}, volume = {{32}}, year = {{2012}}, } @inproceedings{788, author = {{Dannewitz, Christian and Herlich, Matthias and Karl, Holger}}, booktitle = {{37th Annual IEEE Conference on Local Computer Networks, Workshop Proceedings, Clearwater Beach, FL, USA, October 22-25, 2012}}, pages = {{1061----1069}}, title = {{{OpenNetInf - prototyping an information-centric Network Architecture}}}, doi = {{10.1109/LCNW.2012.6424044}}, year = {{2012}}, } @inproceedings{790, author = {{Dräxler, Martin and Beister, Frederic and Kruska, Stephan and Aelken, J. and Karl, Holger}}, booktitle = {{International ICST Conference on Simulation Tools and Techniques, SIMUTOOLS '12, Sirmione-Desenzano, Italy, March 19-23, 2012}}, pages = {{157----165}}, title = {{{Using OMNeT++ for energy optimization simulations in mobile core networks}}}, doi = {{10.4108/icst.simutools.2012.247676}}, year = {{2012}}, } @inproceedings{792, author = {{Volkhausen, Tobias and Dridger, Kornelius and S. Lichte, Hermann and Karl, Holger}}, booktitle = {{10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), Paderborn, Germany, May 14-18, 2012}}, pages = {{299----304}}, title = {{{Efficient cooperative relaying in wireless multi-hop networks with commodity WiFi hardware}}}, year = {{2012}}, } @inproceedings{619, abstract = {{Dynamics in networks is caused by a variety of reasons, like nodes moving in 2D (or 3D) in multihop cellphone networks, joins and leaves in peer-to-peer networks, evolution in social networks, and many others. In order to understand such kinds of dynamics, and to design distributed algorithms that behave well under dynamics, many ways to model dynamics are introduced and analyzed w.r.t. correctness and eciency of distributed algorithms. In [16], Kuhn, Lynch, and Oshman have introduced a very general, worst case type model of dynamics: The edge set of the network may change arbitrarily from step to step, the only restriction is that it is connected at all times and the set of nodes does not change. An extended model demands that a xed connected subnetwork is maintained over each time interval of length T (T-interval dynamics). They have presented, among others, algorithms for counting the number of nodes under such general models of dynamics.In this paper, we generalize their models and algorithms by adding random edge faults, i.e., we consider fault-prone dynamic networks: We assume that an edge currently existing may fail to transmit data with some probability p. We rst observe that strong counting, i.e., each node knows the correct count and stops, is not possible in a model with random edge faults. Our main two positive results are feasibility and runtime bounds for weak counting, i.e., stopping is no longer required (but still a correct count in each node), and for strong counting with an upper bound, i.e., an upper bound N on n is known to all nodes.}}, author = {{Brandes, Philipp and Meyer auf der Heide, Friedhelm}}, booktitle = {{Proceedings of the 4th Workshop on Theoretical Aspects of Dynamic Distributed Systems (TADDS)}}, pages = {{9--14}}, title = {{{Distributed Computing in Fault-Prone Dynamic Networks}}}, doi = {{10.1145/2414815.2414818}}, year = {{2012}}, } @inproceedings{635, abstract = {{In Germany, the optimization of water supply systems has gained more and more attention due to a growing cost pressure for German municipal utilities. In this work, a model is presented which optimizes the usage of water tanks. On the one hand locations of new tanks are identified, and on the other hand the size of existing tanks is optimized, subject to satisfying the demand of clients and providing the necessary amount of fire water during all time periods. The main difficulty is the consideration of the head loss equation which is required to model the hydraulic properties of a water supply system. As this equation is non-convex and quadratic the optimization model becomes a non-convex Mixed Integer Quadratically Constrained Program (MIQCP). To solve this MIQCP different solution methods are applied.}}, author = {{Dohle (married name: Hallmann) , Corinna and Suhl, Leena}}, booktitle = {{Proceedings of the International Conference on Applied Mathematical Optimization and Modelling (APMOD)}}, pages = {{404--408}}, title = {{{An Optimization Model for the optimal Usage of Water Tanks in Water Supply Systems}}}, year = {{2012}}, } @inproceedings{9791, abstract = {{The rapid development of communication and information technology opens up fascinating perspectives, which go far beyond the state of the art in mechatronics: mechatronic systems with inherent partial intelligence. These so called self-optimizing systems adapt their objectives and behavior autonomously and flexibly to changing operating conditions. On the one hand, securing the dependability of such systems is challenging due to their complexity and non-deterministic behavior. On the other hand, self-optimization can be used to increase the dependability of the system during its operation. However, it has to be ensured, that the self-optimization works dependable itself. To cope with these challenges, the multi-level dependability concept was developed. It enables predictive condition monitoring, influences the objectives of the system and determines suitable means to improve the system's dependability during its operation. In this contribution we introduce a procedure for the conceptual design of an advanced condition monitoring based on the system's principle solution. The principle solution describes the principal operation mode of the system and its desired behavior. It is modeled using the specification technique for the domain-spanning description of the principle solution of a self-optimizing system and consists of a coherent system of eight partial models (e.g. requirements, active structure, system of objectives, behavior, etc.). The partial models are analyzed separately in order to derive the components of the multi-level dependability concept. In particular, the reliability analysis of the partial model active structure is performed to identify the system elements to be monitored and parameters to be measured. The principle solution is extended accordingly: e.g. with system elements required for the realization of the dependability concept. The advantages of the method are shown on the self-optimizing guidance module of a railroad vehicle.}}, author = {{Sondermann-Wölke , Christoph and Meyer, Tobias and Dorociak, Rafal and Gausemeier, Jürgen and Sextro, Walter}}, booktitle = {{Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)}}, keywords = {{Mechatronic Systems, Principle Solution, Condition Monitoring, Conceptual Design}}, title = {{{Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System based on its Principle Solution}}}, year = {{2012}}, } @inproceedings{5579, author = {{Wex, Felix and Schryen, Guido and Neumann, Dirk}}, booktitle = {{International Conference on Information Systems for Crisis Response and Management (ISCRAM) 2012}}, title = {{{Operational Emergency Response under Informational Uncertainty: A Fuzzy Optimization Model for Scheduling and Allocating Rescue Units}}}, year = {{2012}}, } @inproceedings{16591, author = {{Flasskamp, Kathrin and Murphey, Todd and Ober-Blobaum, Sina}}, booktitle = {{2012 IEEE 51st IEEE Conference on Decision and Control (CDC)}}, isbn = {{9781467320665}}, title = {{{Switching time optimization in discretized hybrid dynamical systems}}}, doi = {{10.1109/cdc.2012.6426414}}, year = {{2012}}, } @article{16659, author = {{Ringkamp, Maik and Ober-Blöbaum, Sina and Dellnitz, Michael and Schütze, Oliver}}, issn = {{0305-215X}}, journal = {{Engineering Optimization}}, pages = {{1117--1146}}, title = {{{Handling high-dimensional problems with multi-objective continuation methods via successive approximation of the tangent space}}}, doi = {{10.1080/0305215x.2011.634407}}, year = {{2012}}, } @inbook{16681, author = {{Dellnitz, Michael and Schütze, Oliver}}, booktitle = {{Global Analysis of Nonlinear Dynamics}}, isbn = {{9781461431275}}, title = {{{Multilevel Subdivision Techniques for Scalar Optimization Problems}}}, doi = {{10.1007/978-1-4614-3128-2_10}}, year = {{2012}}, } @article{16696, author = {{Zanzottera, A. and Mingotti, G. and Castelli, R. and Dellnitz, M.}}, issn = {{1007-5704}}, journal = {{Communications in Nonlinear Science and Numerical Simulation}}, pages = {{832--843}}, title = {{{Intersecting invariant manifolds in spatial restricted three-body problems: Design and optimization of Earth-to-halo transfers in the Sun–Earth–Moon scenario}}}, doi = {{10.1016/j.cnsns.2011.06.032}}, year = {{2012}}, } @inproceedings{11741, author = {{Chinaev, Aleksej and Haeb-Umbach, Reinhold}}, booktitle = {{Speech Communication; 10. ITG Symposium; Proceedings.}}, title = {{{Quality Analysis and Optimization of the MAP-based Noise Power Spectral Density Tracker}}}, year = {{2012}}, } @inproceedings{16408, abstract = {{We present a parallel rendering system for heterogeneous PC clusters to visualize massive models. One single, powerful visualization node is supported by a group of backend nodes with weak graphics performance. While the visualization node renders the visible objects, the backend nodes asynchronously perform visibility tests and supply the front end with visible scene objects. The visualization node stores only currently visible objects in its memory, while the scene is distributed among the backend nodes’ memory without redundancy. To efficiently compute the occlusion tests in spite of that each backend node stores only a fraction of the original geometry, we complete the scene by adding highly simplified versions of the objects stored on other nodes. We test our system with 15 backend nodes. It is able to render a ≈ 350,M polygons (≈ 8.5,GiB) large aircraft model with 20, to 30,fps and thus allows a walk-through in real-time. }}, author = {{Suess, Tim and Koch, Clemens and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}}, booktitle = {{Advances in Visual Computing}}, isbn = {{9783642331787}}, issn = {{0302-9743}}, pages = {{502--512}}, title = {{{Asynchronous Occlusion Culling on Heterogeneous PC Clusters for Distributed 3D Scenes}}}, doi = {{10.1007/978-3-642-33179-4_48}}, volume = {{7431}}, year = {{2012}}, }