TY - CHAP A1 - Matcha, Heike ED - Herneoja, Aulikki ED - Österlund, Toni ED - Markkanen, Piia T1 - From Designing Buildings from Systems to Designing Systems for Buildings T2 - Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1 N2 - We study the novel possibilities computer aided design and production open up for the design of building systems. Such systems today can, via individualized mass production, consist of a larger number and more complex parts than previously and therefore be assembled into more complex wholes. This opens up the possibility of designing specialized systems specifically for single buildings. The common order of starting with a building system and designing a building using this system can be reversed to designing a building first and then developing a system specifically for that building. We present and discuss research that incorporates students design projects into research work and fosters links between research and teaching. KW - Building Systems KW - Parametric Design KW - Parametric Modelling KW - Structuralist Architecture Y1 - 2016 U6 - https://doi.org/10.52842/conf.ecaade.2016.1.237 N1 - Proceedings of the 34th eCAADe Conference, University of Oulu, Oulu, Finland, 22-26 August 2016. SP - 237 EP - 240 PB - ECAADe CY - Oulu, Finland ER - TY - CHAP A1 - Hüning, Felix T1 - Complexity for heterogeneous classes: teaching embedded systems using an open project approach T2 - Varietas delectat: Complexity is the new normality - 47th Annual Conference, Budapest, Hungary16th - 20th September 2019. SEFI 47th Annual Conference Proceedings Y1 - 2019 SN - 978-2-87352-018-2 SP - 540 EP - 549 ER - TY - CHAP A1 - Wiesen, Andreas A1 - Schleser, Markus T1 - Entwicklung einer Qualitätssicherung für das Laserstrahlschweißen im Vakuum mittels Bildverarbeitung T2 - Große Schweißtechnische Tagung Y1 - 2019 SN - 978-3-96144-066-5 N1 - DVS CONGRESS 2019, Große Schweißtechnische Tagung, DVS-Studentenkongress. 16. bis 17. September 2019, Düsseldorf. DVS-Berichte, Band 355 SP - 1 EP - 6 PB - DVS-Media CY - Düsseldorf ER - TY - CHAP A1 - Otten, Christian A1 - Gerhards, Benjamin A1 - Schleser, Markus A1 - Schwarz, A. A1 - Gebhardt, Andreas T1 - Innovative Laserschweißtechnologie für additiv gefertigte Bauteile T2 - Große Schweißtechnische Tagung Y1 - 2019 SN - 978-3-96144-066-5 N1 - DVS CONGRESS 2019, Große Schweißtechnische Tagung, DVS-Studentenkongress. 16. bis 17. September 2019, Düsseldorf. DVS-Berichte, Band 355 SP - 150 EP - 157 PB - DVS-Media CY - Düsseldorf ER - TY - CHAP A1 - Pohle-Fröhlich, Regina A1 - Dalitz, Christoph A1 - Richter, Charlotte A1 - Hahnen, Tobias A1 - Stäudle, Benjamin A1 - Albracht, Kirsten T1 - Estimation of muscle fascicle orientation in ultrasonic images T2 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 N2 - We compare four different algorithms for automatically estimating the muscle fascicle angle from ultrasonic images: the vesselness filter, the Radon transform, the projection profile method and the gray level cooccurence matrix (GLCM). The algorithm results are compared to ground truth data generated by three different experts on 425 image frames from two videos recorded during different types of motion. The best agreement with the ground truth data was achieved by a combination of pre-processing with a vesselness filter and measuring the angle with the projection profile method. The robustness of the estimation is increased by applying the algorithms to subregions with high gradients and performing a LOESS fit through these estimates. Y1 - 2020 SN - 978-989-758-402-2 U6 - https://doi.org/10.5220/0008933900790086 N1 - 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020, Valletta, Malta SP - 79 EP - 86 PB - SciTePress CY - Setúbal, Portugal ER - TY - CHAP A1 - Dinghofer, Kai A1 - Hartung, Frank T1 - Analysis of Criteria for the Selection of Machine Learning Frameworks T2 - 2020 International Conference on Computing, Networking and Communications (ICNC) N2 - With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs. Y1 - 2020 U6 - https://doi.org/10.1109/ICNC47757.2020.9049650 N1 - 2020 International Conference on Computing, Networking and Communications (ICNC), 17-20 February 2020, Big Island, HI, USA SP - 373 EP - 377 PB - IEEE CY - New York, NY ER - TY - CHAP A1 - Kreyer, Jörg A1 - Müller, Marvin A1 - Esch, Thomas T1 - A Map-Based Model for the Determination of Fuel Consumption for Internal Combustion Engines as a Function of Flight Altitude N2 - In addition to very high safety and reliability requirements, the design of internal combustion engines (ICE) in aviation focuses on economic efficiency. The objective must be to design the aircraft powertrain optimized for a specific flight mission with respect to fuel consumption and specific engine power. Against this background, expert tools provide valuable decision-making assistance for the customer. In this paper, a mathematical calculation model for the fuel consumption of aircraft ICE is presented. This model enables the derivation of fuel consumption maps for different engine configurations. Depending on the flight conditions and based on these maps, the current and the integrated fuel consumption for freely definable flight emissions is calculated. For that purpose, an interpolation method is used, that has been optimized for accuracy and calculation time. The mission boundary conditions flight altitude and power requirement of the ICE form the basis for this calculation. The mathematical fuel consumption model is embedded in a parent program. This parent program presents the simulated fuel consumption by means of an example flight mission for a representative airplane. The focus of the work is therefore on reproducing exact consumption data for flight operations. By use of the empirical approaches according to Gagg-Farrar [1] the power and fuel consumption as a function of the flight altitude are determined. To substantiate this approaches, a 1-D ICE model based on the multi-physical simulation tool GT-Suite® has been created. This 1-D engine model offers the possibility to analyze the filling and gas change processes, the internal combustion as well as heat and friction losses for an ICE under altitude environmental conditions. Performance measurements on a dynamometer at sea level for a naturally aspirated ICE with a displacement of 1211 ccm used in an aviation aircraft has been done to validate the 1-D ICE model. To check the plausibility of the empirical approaches with respect to the fuel consumption and performance adjustment for the flight altitude an analysis of the ICE efficiency chain of the 1-D engine model is done. In addition, a comparison of literature and manufacturer data with the simulation results is presented. Y1 - 2020 U6 - https://doi.org/10.25967/490162 N1 - 68. Deutscher Luft- und Raumfahrtkongress 30.09.-02.10.2019, Darmstadt PB - DGLR CY - Bonn ER - TY - CHAP A1 - Hingley, Peter A1 - Dikta, Gerhard T1 - Finding a well performing box-jenkins forecasting model for annualised patent filings counts T2 - International Symposium on Forecasting, Thessaloniki, Greece, June 2019 Y1 - 2019 ER - TY - CHAP A1 - Striegan, Constantin J. D. A1 - Struth, Benjamin A1 - Dickhoff, Jens A1 - Kusterer, Karsten A1 - Funke, Harald A1 - Bohn, Dieter T1 - Numerical Simulations of the Micromix DLN Hydrogen Combustion Technology with LES and Comparison to Results of RANS and Experimental Data T2 - Proceedings of International Gas Turbine Congress 2019 Tokyo, November 17-22, 2019, Tokyo, Japan. Y1 - 2019 SN - 978-4-89111-010-9 N1 - IGCT-2019-147 SP - 1 EP - 9 ER - TY - CHAP A1 - Ulmer, Jessica A1 - Braun, Sebastian A1 - Cheng, Chi-Tsun A1 - Dowey, Steve A1 - Wollert, Jörg T1 - Adapting augmented reality systems to the users’ needs using gamification and error solving methods T2 - Procedia CIRP - 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0 N2 - Animations of virtual items in AR support systems are typically predefined and lack interactions with dynamic physical environments. AR applications rarely consider users’ preferences and do not provide customized spontaneous support under unknown situations. This research focuses on developing adaptive, error-tolerant AR systems based on directed acyclic graphs and error resolving strategies. Using this approach, users will have more freedom of choice during AR supported work, which leads to more efficient workflows. Error correction methods based on CAD models and predefined process data create individual support possibilities. The framework is implemented in the Industry 4.0 model factory at FH Aachen. KW - Augmented Reality KW - Adaptive Systems KW - Gamification KW - Error Recovery Y1 - 2021 U6 - https://doi.org/10.1016/j.procir.2021.11.024 SN - 2212-8271 N1 - CIRP CMS 2021 - 54th CIRP Conference on Manufacturing Systems, September 22-24, 2021, online VL - 104 SP - 140 EP - 145 PB - Elsevier CY - Amsterdam ER -