TY - CHAP A1 - Schleupen, Josef A1 - Engemann, Heiko A1 - Bagheri, Mohsen A1 - Kallweit, Stephan T1 - The potential of SMART climbing robot combined with a weatherproof cabin for rotor blade maintenance T2 - 17th European Conference on Composite Materials – ECCM, Munich, Germany Y1 - 2016 N1 - ECCM 17 SP - 1 EP - 8 ER - TY - CHAP A1 - Schuh, Günther A1 - Gottschalk, Sebastian A1 - Höhne, Tim A1 - Attig, Philipp ED - Mitsuishi, M. T1 - Further Potentials of Smart Logistics T2 - Manufacturing Systems and Technologies for the New Frontier Y1 - 2008 SN - 978-1-84800-267-8 SN - 978-1-84800-266-1 (Printausgabe) U6 - https://doi.org/10.1007/978-1-84800-267-8_18 N1 - The 41St Cirp Conference On Manufacturing Systems, May 26-28, 2008, Tokyo, Japan SP - 93 EP - 96 PB - Springer CY - London ER - TY - CHAP A1 - Schuh, Günther A1 - Gottschalk, Sebastian Friedrich A1 - Narr, Claus A1 - Höhne, Tim ED - Zäh, Michael F. T1 - Adaptive logistics : information management for planning and control of small series assembly T2 - 2nd International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2007), Toronto, Ontario, Canada, 22-24 July 2007 : Book of Abstracts Y1 - 2007 SN - 978-0-9783187-0-3 SP - 212 EP - 221 ER - TY - CHAP A1 - Funke, Harald A1 - Keinz, Jan A1 - Hendrick, P. T1 - Experimental Evaluation of the Pollutant and Noise Emissions of the GTCP 36-300 Gas Turbine Operated with Kerosene and a Low NOX Micromix Hydrogen Combustor T2 - 7th European Conference for Aeronautics and Space Sciences, EUCASS 2017 Y1 - 2017 U6 - https://doi.org/10.13009/EUCASS2017-125 ER - TY - CHAP A1 - Scholl, Ingrid A1 - Bartella, Alex A1 - Moluluo, Cem A1 - Ertural, Berat A1 - Laing, Frederic A1 - Suder, Sebastian T1 - MedicVR : Acceleration and Enhancement Techniques for Direct Volume Rendering in Virtual Reality T2 - Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen Y1 - 2019 SN - 978-3-658-25326-4 U6 - https://doi.org/10.1007/978-3-658-25326-4_32 SP - 152 EP - 157 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Bücking, Henrik A1 - Pfaff, Raphael A1 - Dirksmeier, Roger T1 - Sensor positioning and thermal model for condition monitoring of pressure gas reservoirs in vehicles T2 - Proceedings of the Fourth European Conference of the Prognostics and Health Management Society, Utrecht, Netherlands, 2018 Y1 - 2018 ER - TY - CHAP A1 - Gao, H. A1 - Babilon, Katharina A1 - Pfaff, Raphael A1 - Gan, F. A1 - Reich, A. T1 - Model of wheel-rail contact for sanding and adhesion enhancement T2 - Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/wheel Systems, CM 2018 Y1 - 2018 SN - 978-946186963-0 SP - 314 EP - 321 ER - TY - CHAP A1 - Pfaff, Raphael A1 - Melcher, Karin A1 - Franzen, Julian T1 - Rare event simulation to optimise maintenance intervals of safety critical redundant subsystems T2 - Proceedings of the European Conference of the PHM Society Y1 - 2018 VL - 4 IS - 1 SP - 1 EP - 6 ER - TY - CHAP A1 - Drumm, Christian A1 - Schmitt, Matthias A1 - Do, Hong-Hai A1 - Rahm, Erhard T1 - Quickmig: automatic schema matching for data migration projects T2 - Proceedings of the 2007 ACM Conference on Information and Knowledge Management / CIKM'07, Lisboa, Portugal, Nov. 6 - 10, 2007 Y1 - 2007 SN - 978-1-59593-803-9 U6 - https://doi.org/10.1145/1321440.1321458 SP - 107 EP - 116 ER - TY - CHAP A1 - Weber, Ingo A1 - Markovic, Ivan A1 - Drumm, Christian T1 - A conceptual framework for composition in business process management T2 - Business Information Systems : 10th International Conference, BIS 2007, Poznan, Poland, April 25-27, 2007. Proceedings Y1 - 2007 SN - 978-3-540-72035-5 U6 - https://doi.org/10.1007/978-3-540-72035-5_5 SP - 54 EP - 66 PB - Springer CY - Berlin, Heidelberg ER - TY - CHAP A1 - Drumm, Christian A1 - Lemcke, Jens A1 - Oberle, Daniel T1 - Integrating Semantic Web Services and Business Process Management: A Real Use Case T2 - Proceedings of the ESWC 2006 Workshop Semantics for Business Process Management 2006 (SBPM 2006), June 2006 Y1 - 2006 ER - TY - CHAP A1 - Kunfermann, Philipp A1 - Drumm, Christian T1 - Lifting XML schemas to ontologies - the concept finder algorithm T2 - MEDIATE 2005 First International Workshop on Mediation in Semantic Web Services Proceedings of the First International Workshop on Mediation in Semantic Web Services (MEDIATE 2005) Y1 - 2005 SP - 113 EP - 122 ER - TY - CHAP A1 - Wiesen, Patrick A1 - Engemann, Heiko A1 - Limpert, Nicolas A1 - Kallweit, Stephan T1 - Learning by Doing - Mobile Robotics in the FH Aachen ROS Summer School T2 - European Robotics Forum 2018, TRROS18 Workshop Y1 - 2018 SP - 47 EP - 58 ER - TY - CHAP A1 - Serror, Martin A1 - Henze, Martin A1 - Hack, Sacha A1 - Schuba, Marko A1 - Wehrle, Klaus T1 - Towards in-network security for smart homes T2 - 13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018 Y1 - 2018 SN - 978-145036448-5 U6 - https://doi.org/10.1145/3230833.3232802 SP - Article numer 3232802 ER - TY - CHAP A1 - Krome, Cornelia A1 - Sander, Volker T1 - Time series analysis with apache spark and its applications to energy informatics T2 - Proceedings of the 7th DACH+ Conference on Energy Informatics N2 - In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark. Y1 - 2018 U6 - https://doi.org/10.1186/s42162-018-0043-1 N1 - Energy Informatics 2018, Volume 1 Supplement 1 ER - 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 - 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 -