@article{27062, author = {{Müller, Katrin and Libuda, Lars and Diethelm, Katharina and Huybrechts, Inge and Moreno, Luis A. and Manios, Yannis and Mistura, Lorenza and Dallongeville, Jean and Kafatos, Anthony and González-Gross, Marcela and Cuenca-García, Magdalena and Sjöström, Michael and Hallström, Lena and Widhalm, Kurt and Kersting, Mathilde}}, issn = {{0195-6663}}, journal = {{Appetite}}, pages = {{332--339}}, title = {{{Lunch at school, at home or elsewhere. Where do adolescents usually get it and what do they eat? Results of the HELENA Study}}}, doi = {{10.1016/j.appet.2013.09.002}}, year = {{2013}}, } @article{27063, author = {{Müller, K and Libuda, Lars and Gawehn, N and Drossard, C and Bolzenius, K and Kunz, C and Kersting, M}}, issn = {{0954-3007}}, journal = {{European Journal of Clinical Nutrition}}, pages = {{185--189}}, title = {{{Effects of lunch on children’s short-term cognitive functioning: a randomized crossover study}}}, doi = {{10.1038/ejcn.2012.209}}, year = {{2013}}, } @article{27514, author = {{Oepping, Anke and Schlegel-Matthies, Kirsten}}, journal = {{Schule NRW. Amtsblatt des Ministeriums für Schule und Weiterbildung}}, pages = {{10 -- 12}}, title = {{{Bildung für nachhaltige Entwicklung. Den Alltag gestalten – Teilhabe ermöglichen. Verbraucherbildung als Aufgabe von Schule}}}, volume = {{2}}, year = {{2013}}, } @article{27515, author = {{Schlegel-Matthies, Kirsten}}, journal = {{Haushalt in Bildung und Forschung (HiBiFo)}}, number = {{2}}, pages = {{61 -- 70}}, title = {{{Ethik, Konsumentenverantwortung und Verbraucherbildung im Spannungsfeld}}}, volume = {{2}}, year = {{2013}}, } @article{27516, author = {{Schlegel-Matthies, Kirsten}}, journal = {{Haushalt in Bildung und Forschung (HiBiFo)}}, number = {{2}}, title = {{{Fachliche Betreuung des Schwerpunktthemas: Ethik – Konsum – Verbraucherbildung. }}}, volume = {{2}}, year = {{2013}}, } @book{27518, author = {{Oepping, Anke and Schlegel-Matthies, Kirsten}}, title = {{{Ernährungs- und Verbraucherbildung im Unterricht }}}, year = {{2013}}, } @article{27524, abstract = {{ Because of widespread irregular lunch consumption by both children and adults, information on the effects of lunch on short-term cognitive functioning is relevant to public health. In September 2012, a MEDLINE search was conducted for studies in which the effects of lunch on cognitive performance were examined. Eleven experimental studies published from 1981 to 1996 were found and evaluated; all involved adults. In three studies, the effects of lunch and lunch skipping were compared; the remaining studies involved a determination of the effects of lunch size and lunch composition. Results of studies in which lunch was compared with no lunch indicate that lunch leads to potential impairment of some aspects of cognitive functioning in the early afternoon. Lunch size may influence cognitive functioning, with impairment more likely to occur after a large lunch than a small lunch. Furthermore, in comparison with low-fat lunches, high-fat lunches seem to result in slower but more accurate responses to some cognitive tasks. However, these suggestions must be viewed with caution, as they are based on only a few studies and are not thoroughly supported by high-quality evidence. In addition, results obtained with adults are not applicable to children. Thus, the potential effects of lunch need further examination in children and adults. }}, author = {{Müller, Katrin and Libuda, Lars and Terschlüsen, Anna Maria and Kersting, Mathilde}}, issn = {{1486-3847}}, journal = {{Canadian Journal of Dietetic Practice and Research}}, pages = {{181--188}}, title = {{{A Review of the Effects of Lunch: On Adults’ Short-term Cognitive Functioning}}}, doi = {{10.3148/74.4.2013.181}}, year = {{2013}}, } @article{27581, author = {{Mesch, C. and Stimming, M. and Wagner, A. and Libuda, Lars and Kersting, M.}}, journal = {{Ernährungsumschau International}}, pages = {{110--115}}, title = {{{Rekrutierung von Müttern mit Säuglingen in einer Interventionsstudie – erste Erkenntnisse aus der PINGU-Studie. }}}, volume = {{7}}, year = {{2013}}, } @article{27732, author = {{Assmann, K.E. and Joslowski, G. and Buyken, Anette and Cheng, G. and Remer, T. and Kroke, A. and Günther, A.L.B.}}, issn = {{1930-7381}}, journal = {{Obesity}}, pages = {{E782--E789}}, title = {{{Prospective association of protein intake during puberty with body composition in young adulthood}}}, doi = {{10.1002/oby.20516}}, year = {{2013}}, } @article{27733, author = {{Günther, Anke L. B. and Walz, Helena and Kroke, Anja and Wudy, Stefan A. and Riedel, Christina and von Kries, Rüdiger and Joslowski, Gesa and Remer, Thomas and Cheng, Guo and Buyken, Anette}}, issn = {{1932-6203}}, journal = {{PLoS ONE}}, title = {{{Breastfeeding and Its Prospective Association with Components of the GH-IGF-Axis, Insulin Resistance and Body Adiposity Measures in Young Adulthood – Insights from Linear and Quantile Regression Analysis}}}, doi = {{10.1371/journal.pone.0079436}}, year = {{2013}}, } @phdthesis{11619, abstract = {{Reconfigurable circuit devices have opened up a fundamentally new way of creating adaptable systems. Combined with artificial evolution, reconfigurable circuits allow an elegant adaptation approach to compensating for changes in the distribution of input data, computational resource errors, and variations in resource requirements. Referred to as ``Evolvable Hardware'' (EHW), this paradigm has yielded astonishing results for traditional engineering challenges and has discovered intriguing design principles, which have not yet been seen in conventional engineering. In this thesis, we present new and fundamental work on Evolvable Hardware motivated by the insight that Evolvable Hardware needs to compensate for events with different change rates. To solve the challenge of different adaptation speeds, we propose a unified adaptation approach based on multi-objective evolution, evolving and propagating candidate solutions that are diverse in objectives that may experience radical changes. Focusing on algorithmic aspects, we enable Cartesian Genetic Programming (CGP) model, which we are using to encode Boolean circuits, for multi-objective optimization by introducing a meaningful recombination operator. We improve the scalability of CGP by objectives scaling, periodization of local- and global-search algorithms, and the automatic acquisition and reuse of subfunctions using age- and cone-based techniques. We validate our methods on the applications of adaptation of hardware classifiers to resource changes, recognition of muscular signals for prosthesis control and optimization of processor caches.}}, author = {{Kaufmann, Paul}}, isbn = {{978-3-8325-3530-8}}, pages = {{249}}, publisher = {{Logos Verlag Berlin GmbH}}, title = {{{Adapting Hardware Systems by Means of Multi-Objective Evolution}}}, year = {{2013}}, } @phdthesis{17440, author = {{Eikel, Benjamin}}, title = {{{Spherical visibility sampling : preprocessed visibility for occlusion culling in complex 3D scenes}}}, year = {{2013}}, } @inproceedings{1799, author = {{Ali-Ahmad, Hassan and Cicconetti, Claudio and de la Oliva, Antonio and Draxler, Martin and Gupta, Rohit and Mancuso, Vincenzo and Roullet, Laurent and Sciancalepore, Vincenzo}}, booktitle = {{2013 Second European Workshop on Software Defined Networks}}, isbn = {{9781479924332}}, publisher = {{IEEE}}, title = {{{CROWD: An SDN Approach for DenseNets}}}, doi = {{10.1109/ewsdn.2013.11}}, year = {{2013}}, } @inbook{1804, author = {{de la Oliva, Antonio and Morelli, Arianna and Mancuso, Vincenzo and Draexler, Martin and Hentschel, Tim and Melia, Telemaco and Seite, Pierrick and Cicconetti, Claudio}}, booktitle = {{Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}}, isbn = {{9783642379345}}, issn = {{1867-8211}}, pages = {{28--41}}, publisher = {{Springer Berlin Heidelberg}}, title = {{{Denser Networks for the Future Internet, the CROWD Approach}}}, doi = {{10.1007/978-3-642-37935-2_3}}, year = {{2013}}, } @inproceedings{22378, author = {{Meyer, Tobias and Hölscher, Christian and Menke, Michael and Sextro, Walter and Zimmer, Detmar}}, booktitle = {{PAMM - Proceedings in Applied Mathematics and Mechanics }}, number = {{1}}, pages = {{483--484}}, publisher = {{Gesellschaft für Angewandte Mathematik und Mechanik (GAMM)}}, title = {{{Multiobjective Optimization including Safety of Operation Applied to a Linear Drive System}}}, doi = {{10.1002/pamm.201310234}}, volume = {{13}}, year = {{2013}}, } @inproceedings{23125, author = {{Khatab, Shaady and Trächtler, Ansgar}}, booktitle = {{IEEE International Conference on System Science and Engineering (ICSSE)}}, pages = {{117 -- 121}}, publisher = {{IEEE Xplore}}, title = {{{Trajectory Optimization and Optimal Control of Vehicle Dynamics under Critically Stable Driving Conditions}}}, year = {{2013}}, } @inbook{23148, author = {{Reinold, Peter and Sextro, Walter and Sondermann-Wölke, Christoph and Trächtler, Ansgar}}, booktitle = {{Dependability of Self-Optimizing Mechatronic Systems}}, pages = {{131--135}}, publisher = {{Springer-Verlag, Heidelberg, Germany}}, title = {{{Dependability-oriented Multiobjective Optimization}}}, year = {{2013}}, } @inbook{8789, author = {{Reuter, Dirk and Gerth, Gerhard and Kirschner, J.}}, booktitle = {{Surface Diffusion}}, isbn = {{9781489902641}}, issn = {{0258-1221}}, title = {{{Surface Diffusion of 3d-Metals on W(110)}}}, doi = {{10.1007/978-1-4899-0262-7_43}}, year = {{2013}}, } @article{9807, abstract = {{Recently, focus on maintenance strategies has been shifted towards prognostic health management (PHM) and a number of state of the art algorithms based on data-driven prognostics have been developed to predict the health states of degrading components based on sensory data. Amongst these algorithms, Multiclass Support Vector Machines (MC-SVM) has gained popularity due to its relatively high classification accuracy, ability to classify multiple patterns and capability to handle noisy /incomplete data. However, its application is limited by the difficulty in determining the required kernel function and penalty parameters. To address this problem, this paper proposes a hybrid differential evolution -- particle swarm optimization (DE-PSO) algorithm to optimize the MC-SVM kernel function and penalty parameters. The differential algorithm (DE) obtains the search limit for the SVM parameters, while the particle swarm optimization algorithm (PSO) determines the global optimum parameters for a given training data set. Since degrading machinery components display several degradation stages in their lifetime, the MC-SVM trained with optimum parameters are used to estimate the health states of a degrading machinery component, from which the remaining useful life (RUL) is predicted. This method improves the classification accuracy of MC-SVM in predicting the health states of a machinery component and consequently increases the accuracy of RUL predictions. The feasibility of the method is validated using bearing prognostic run-to-failure data obtained from NASA public data repository. A comparative study between MC-SVM with parameters obtained using simple grid search with n-fold cross validation and MCSVM with DE-PSO based on prognostic performance metrics reveals that the proposed method has better performance, with all the cases considered falling within a 10 \% error margin. The method also outperforms other soft computing methods proposed in literature.}}, author = {{Kimotho, James Kuria and Sondermann-Wölke, Christopher and Meyer, Tobias and Sextro, Walter}}, journal = {{Chemical Engineering Transactions}}, pages = {{619--624}}, title = {{{Machinery Prognostic Method Based on Multi-Class Support Vector Machines and Hybrid Differential Evolution -- Particle Swarm Optimization}}}, doi = {{10.3303/CET1333104}}, volume = {{33}}, year = {{2013}}, } @article{9808, abstract = {{This study presents the methods employed by a team from the department of Mechatronics and Dynamics at the University of Paderborn, Germany for the 2013 PHM data challenge. The focus of the challenge was on maintenance action recommendation for an industrial machinery based on remote monitoring and diagnosis. Since an ensemble of data driven methods has been considered as the state of the art approach in diagnosis and prognosis, the first approach was to evaluate the performance of an ensemble of data driven methods using the parametric data as input and problems (recommended maintenance action) as the output. Due to close correlation of parametric data of different problems, this approach produced high misclassification rate. Event-based decision trees were then constructed to identify problems associated with particular events. To distinguish between problems associated with events that appeared in multiple problems, support vector machine (SVM) with parameters optimally tuned using particle swarm optimization (PSO) was employed. Parametric data was used as the input to the SVM algorithm and majority voting was employed to determine the final decision for cases with multiple events. A total of 165 SVM models were constructed. This approach improved the overall score from 21 to 48. The method was further enhanced by employing an ensemble of three data driven methods, that is, SVM, random forests (RF) and bagged trees (BT), to build the event based models. With this approach, a score of 51 was obtained . The results demonstrate that the proposed event based method can be effective in maintenance action recommendation based on events codes and parametric data acquired remotely from an industrial equipment.}}, author = {{Kimotho, James Kuria and Sondermann-Wölke, Chritoph and Meyer, Tobias and Sextro, Walter}}, journal = {{International Journal of Prognostics and Health Management}}, keywords = {{maintenance decision, Bagged trees, Decision trees, PSO-SVM, Random forests}}, number = {{2}}, title = {{{Application of Event Based Decision Tree and Ensemble of Data Driven Methods for Maintenance Action Recommendation}}}, volume = {{4}}, year = {{2013}}, }