TY - CHAP A1 - Rausch, Lea A1 - Leise, Philipp A1 - Ederer, Thorsten A1 - Altherr, Lena A1 - Pelz, Peter F. ED - Papadrakakis, M. ED - Ppadopoulos, V. ED - Stefanou, G. ED - Plevris, V. T1 - A comparison of MILP and MINLP solver performance on the example of a drinking water supply system design problem T2 - ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering N2 - Finding a good system topology with more than a handful of components is a highly non-trivial task. The system needs to be able to fulfil all expected load cases, but at the same time the components should interact in an energy-efficient way. An example for a system design problem is the layout of the drinking water supply of a residential building. It may be reasonable to choose a design of spatially distributed pumps which are connected by pipes in at least two dimensions. This leads to a large variety of possible system topologies. To solve such problems in a reasonable time frame, the nonlinear technical characteristics must be modelled as simple as possible, while still achieving a sufficiently good representation of reality. The aim of this paper is to compare the speed and reliability of a selection of leading mathematical programming solvers on a set of varying model formulations. This gives us empirical evidence on what combinations of model formulations and solver packages are the means of choice with the current state of the art. KW - Technical Operations Research KW - Mixed-Integer Nonlinear Optimisation KW - Solver Per- formance KW - Drinking Water Supply KW - System Design Problem Y1 - 2016 SN - 978-618-82844-0-1 N1 - ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering, 5–10 June 2016.Crete Island, Greece SP - 8509 EP - 8527 ER - TY - CHAP A1 - Wolf, Martin R. A1 - Wiese, Ute T1 - A comparative transformation model for process changes using serious games T2 - 2013 IEEE 2nd International Conference on Serious Games and Applications for Health (SeGAH): proceedings of a meeting held 2-3 May 2013, Algarve, Portugal Y1 - 2013 SN - 978-1-4673-6164-4 U6 - https://doi.org/10.1109/SeGAH.2013.6665307 SP - 64 EP - 70 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway, NJ ER - TY - CHAP A1 - Ringbeck, Thorsten A1 - Hagebeuker, Bianca ED - Grün, Armin T1 - A 3D time of flight camera of object detection T2 - Optical 3-D measurement techniques VIII : applications in GIS, mapping, manufacturing, quality control, robotics, navigation, mobile mapping, medical imaging, cultural heritage, VR generation and animation; papers presented to the conference organized at ETH Zurich, Switzerland, July 9 - 12, 2007. - Vol. 1 Y1 - 2007 SN - 3-906467-67-8 (Gesamtwerk) N1 - Conference on Optical 3-D Measurement Techniques <8, 2007, Zürich> SP - 1 EP - 16 PB - ETH CY - Zürich ER - TY - CHAP A1 - Ferrein, Alexander T1 - 3D-Mapping von Straßentunneln T2 - 16. Geokinematischer Tag, 07. und 08. Mai 2015 : Tagungsband / Technische Universität Bergakademie Freiberg Y1 - 2015 N1 - Schriftenreihe des Instituts für Markscheidewesen und Geodsäsie an der Technischen Universität Bergakademie Freiberg SP - 31 EP - 40 ER - TY - CHAP A1 - Walter, Peter A1 - Elsen, Ingo A1 - Müller, Holger A1 - Kraiss, Karl-Friedrich T1 - 3D object recognition with a specialized mixtures of experts architecture T2 - IJCNN'99. International Joint Conference on Neural Networks. Proceedings N2 - Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications. Y1 - 1999 SN - 0-7803-5529-6 U6 - https://doi.org/10.1109/IJCNN.1999.836243 SN - 1098-7576 N1 - Washington, DC 10-16.07.1999 SP - 3563 EP - 3568 PB - IEEE CY - New York ER - TY - CHAP A1 - Heuermann, Holger A1 - Finger, Torsten T1 - 2.45 GHz Plasma Powered Spark Plug by Thermal and EM-Optimization Y1 - 2014 N1 - Ansys High Frequency Simulation Conference - AHFSC 2014, Munich; 02/2014 ER -