@inproceedings{HoffmannNierenGaebetal.2019,
  author    = {Hoffmann, Katharina and Nieren, Monika and G{\"a}b, Martina and Kasper, Anna and Elbers, Gereon},
  title     = {The potential of near infrared spectroscopy (NIRS) for the environmental biomonitoring of plants},
  series = {International conference on Life Sciences and Technology},
  volume    = {276},
  booktitle = {International conference on Life Sciences and Technology},
  number    = {012009},
  issn      = {1755-1315},
  doi       = {10.1088/1755-1315/276/1/012009},
  pages     = {1 -- 3},
  year      = {2019},
  abstract  = {In the current environmental condition, the increase in pollution of the air, water, and soil indirectly will induce plants stress and decrease vegetation growth rate. These issues pay more attention to be solved by scientists worldwide. The higher level of chemical pollutants also induced the gradual changes in plants metabolism and decreased enzymatic activity. Importantly, environmental biomonitoring may play a pivotal contribution to prevent biodiversity degradation and plants stress due to pollutant exposure. Several previous studies have been done to monitor the effect of environmental changes on plants growth. Among that, Near Infrared spectroscopy (NIRS) offers an alternative way to observe the significant alteration of plant physiology caused by environmental damage related to pollution. Impairment of photosynthesis, nutrient and oxidative imbalances, and mutagenesis.},
  language  = {en}
}
@inproceedings{SiebigterothKraftSchmidtsetal.2019,
  author    = {Siebigteroth, Ines and Kraft, Bodo and Schmidts, Oliver and Z{\"u}ndorf, Albert},
  title     = {A Study on Improving Corpus Creation by Pair Annotation},
  series = {Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK-PS 2019)},
  booktitle = {Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK-PS 2019)},
  issn      = {1613-0073},
  pages     = {40 -- 44},
  year      = {2019},
  language  = {en}
}
@inproceedings{SchifferBragard2019,
  author    = {Schiffer, Fabian and Bragard, Michael},
  title     = {Cascaded LQ and Field-Oriented Control of a Mobile Inverse Pendulum (Segway) with Permanent Magnet Synchronous Machines},
  series = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  booktitle = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  isbn      = {978-1-5386-9257-8},
  doi       = {10.1109/REM.2019.8744101},
  pages     = {1 -- 8},
  year      = {2019},
  language  = {en}
}
@inproceedings{BragardSubeSchneideretal.2019,
  author    = {Bragard, Michael and Sube, Maike and Schneider, Maike and Jungemann, Christoph},
  title     = {Introducing a Cross-University Bachelor's Programme with Orientation Semester - Enabling a Permeable Academic Education System},
  series = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  booktitle = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  isbn      = {978-1-5386-9257-8},
  doi       = {10.1109/REM.2019.8744132},
  pages     = {1 -- 6},
  year      = {2019},
  language  = {en}
}
@inproceedings{OttenSchmidtWeber2016,
  author    = {Otten, D. and Schmidt, M. and Weber, Tobias},
  title     = {Advances in Determination of Material Parameters for Functional Simulations Based on Process Simulations},
  series = {SAMPE Europe Conference 16 Liege},
  booktitle = {SAMPE Europe Conference 16 Liege},
  isbn      = {978-1-5108-3800-0},
  pages     = {570 -- 577},
  year      = {2016},
  language  = {en}
}
@inproceedings{WeberTellisDuhovic2016,
  author    = {Weber, Tobias and Tellis, Jane J. and Duhovic, Miro},
  title     = {Characterization of tool-part-interaction an interlaminar friction for manufacturing process simulation},
  series = {ECCM 17, 17th European Conference on Composite Materials, M{\"u}nchen, DE, Jun 26-30, 2016},
  booktitle = {ECCM 17, 17th European Conference on Composite Materials, M{\"u}nchen, DE, Jun 26-30, 2016},
  isbn      = {978-3-00-053387-7},
  pages     = {1 -- 7},
  year      = {2016},
  language  = {en}
}
@inproceedings{HailerWeberArent2019,
  author    = {Hailer, Benjamin and Weber, Tobias and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for Autoclave-Produced Sandwich Structures},
  series = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  pages     = {1 -- 8},
  year      = {2019},
  language  = {en}
}
@inproceedings{WeberEnglhardHaileretal.2019,
  author    = {Weber, Tobias and Englhard, Markus and Hailer, Benjamin and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling},
  series = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  pages     = {1 -- 10},
  year      = {2019},
  language  = {en}
}
@inproceedings{WeberEnglhardHaileretal.2015,
  author    = {Weber, Tobias and Englhard, Markus and Hailer, Benjamin and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling},
  series = {Proceedings of SAMPE Europe Conference, Amiens , France},
  booktitle = {Proceedings of SAMPE Europe Conference, Amiens , France},
  pages     = {1 -- 10},
  year      = {2015},
  language  = {en}
}
@inproceedings{Weber2015,
  author    = {Weber, Tobias},
  title     = {Manufacturing Process Simulation for Tooling Optimization: Reduction of Quality Issues During Autoclave Manufacturing of Composite Parts},
  series = {Proceedings of SAMPE Europe Conference 2015, Amiens, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2015, Amiens, France},
  pages     = {1 -- 8},
  year      = {2015},
  language  = {en}
}
@inproceedings{OttenSchmidWeber2015,
  author    = {Otten, D. and Schmid, M. and Weber, Tobias},
  title     = {Advances In Sheet Metal-Forming: Reduction Of Tooling Cost By Methodical Optimization},
  series = {Proceedings of SAMPE Europe Conference, Amiens , France},
  booktitle = {Proceedings of SAMPE Europe Conference, Amiens , France},
  year      = {2015},
  language  = {en}
}
@inproceedings{SchmidtsKraftWinkensetal.2020,
  author    = {Schmidts, Oliver and Kraft, Bodo and Winkens, Marvin and Z{\"u}ndorf, Albert},
  title     = {Catalog integration of low-quality product data by attribute label ranking},
  series = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1},
  booktitle = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1},
  publisher = {SciTePress},
  address   = {Set{\´u}bal, Portugal},
  isbn      = {978-989-758-440-4},
  doi       = {10.5220/0009831000900101},
  pages     = {90 -- 101},
  year      = {2020},
  abstract  = {The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.},
  language  = {en}
}
@inproceedings{BraunChengDoweyetal.2020,
  author    = {Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Survey on Security Concepts to Adapt Flexible Manufacturing and Operations Management based upon Multi-Agent Systems},
  series = {2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), Proceedings},
  booktitle = {2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), Proceedings},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/ISIE45063.2020.9152210},
  pages     = {5 Seiten},
  year      = {2020},
  abstract  = {The increasing digitalization brings new opportunities but also puts new challenges to modern industrial systems. Software agents are one of the key technologies towards self-optimizing factories and are currently used to address the needs of cyber-physical production systems (CPPS). However their interplay in industrial settings needs to be understood better.This paper focusses on securing a cloud infrastructure for multi-agent systems for industrial sites. An industrial site contains multiple production processes that need to communicate with each other and each physical resource is abstracted with a software agent. This volatile architecture needs to be managed and protected from manipulation. The proposed infrastructure presents a security concept for TCP/IP communication between agents, machines, and external networks. It is based on open-source software and tested on a three-node edge cloud controlling a model-plant.},
  language  = {en}
}
@inproceedings{JockwerKleiberUibel2018,
  author    = {Jockwer, R. and Kleiber, M. and Uibel, Thomas},
  title     = {Criteria for Evaluating the Simplification of Design Rules for Dowel-type Fasteners},
  series = {International Network on Timber Engineering Research, INTER : proceedings, meeting 51, 10 - 13 August 2016, Tallinn, Estonia},
  booktitle = {International Network on Timber Engineering Research, INTER : proceedings, meeting 51, 10 - 13 August 2016, Tallinn, Estonia},
  editor    = {G{\"o}rlacher, Rainer},
  publisher = {Timber Scientific Publishing, KIT Holzbau und Baukonstruktionen},
  address   = {Karlsruhe},
  pages     = {461 -- 466},
  year      = {2018},
  language  = {en}
}
@inproceedings{WiegnerVolkerMainzetal.2022,
  author    = {Wiegner, Jonas and Volker, Hanno and Mainz, Fabian and Backes, Andreas and L{\"o}ken, Michael and H{\"u}ning, Felix},
  title     = {Wiegand-effect-powered wireless IoT sensor node},
  series = {ITG-Fb. 303: Sensoren und Messsysteme},
  booktitle = {ITG-Fb. 303: Sensoren und Messsysteme},
  publisher = {VDE Verlag GmbH},
  address   = {Berlin},
  isbn      = {978-3-8007-5835-7},
  pages     = {255 -- 260},
  year      = {2022},
  abstract  = {In this article we describe an Internet-of-Things sensing device with a wireless interface which is powered by the oftenoverlooked harvesting method of the Wiegand effect. The sensor can determine position, temperature or other resistively measurable quantities and can transmit the data via an ultra-low power ultra-wideband (UWB) data transmitter. With this approach we can energy-self-sufficiently acquire, process, and wirelessly transmit data in a pulsed operation. A proof-of-concept system was built up to prove the feasibility of the approach. The energy consumption of the system is analyzed and traced back in detail to the individual components, compared to the generated energy and processed to identify further optimization options. Based on the proof-of-concept, an application demonstrator was developed. Finally, we point out possible use cases.},
  language  = {en}
}
@inproceedings{KronigerHorikawaFunkeetal.2021,
  author    = {Kroniger, Daniel and Horikawa, Atsushi and Funke, Harald and Pf{\"a}ffle, Franziska},
  title     = {Numerical investigation of micromix hydrogen flames at different combustor pressure levels},
  series = {The Proceedings of the International Conference on Power Engineering (ICOPE)},
  booktitle = {The Proceedings of the International Conference on Power Engineering (ICOPE)},
  doi       = {10.1299/jsmeicope.2021.15.2021-0237},
  pages     = {4 Seiten},
  year      = {2021},
  abstract  = {This study investigates the influence of pressure on the temperature distribution of the micromix (MMX) hydrogen flame and the NOx emissions. A steady computational fluid dynamic (CFD) analysis is performed by simulating a reactive flow with a detailed chemical reaction model. The numerical analysis is validated based on experimental investigations. A quantitative correlation is parametrized based on the numerical results. We find, that the flame initiation point shifts with increasing pressure from anchoring behind a downstream located bluff body towards anchoring upstream at the hydrogen jet. The numerical NOx emissions trend regarding to a variation of pressure is in good agreement with the experimental results. The pressure has an impact on both, the residence time within the maximum temperature region and on the peak temperature itself. In conclusion, the numerical model proved to be adequate for future prototype design exploration studies targeting on improving the operating range.},
  language  = {en}
}
@inproceedings{HorikawaOkadaYamaguchietal.2021,
  author    = {Horikawa, Atsushi and Okada, Kunio and Yamaguchi, Masato and Aoki, Shigeki and Wirsum, Manfred and Funke, Harald and Kusterer, Karsten},
  title     = {Combustor development and engine demonstration of micro-mix hydrogen combustion applied to M1A-17 gas turbine},
  series = {Conference Proceedings Turbo Expo: Power for Land, Sea and Air, Volume 3B: Combustion, Fuels, and Emissions},
  booktitle = {Conference Proceedings Turbo Expo: Power for Land, Sea and Air, Volume 3B: Combustion, Fuels, and Emissions},
  doi       = {10.1115/GT2021-59666},
  pages     = {13 Seiten},
  year      = {2021},
  abstract  = {Kawasaki Heavy Industries, LTD. (KHI) has research and development projects for a future hydrogen society. These projects comprise the complete hydrogen cycle, including the production of hydrogen gas, the refinement and liquefaction for transportation and storage, and finally the utilization in a gas turbine for electricity and heat supply. Within the development of the hydrogen gas turbine, the key technology is stable and low NOx hydrogen combustion, namely the Dry Low NOx (DLN) hydrogen combustion. KHI, Aachen University of Applied Science, and B\&B-AGEMA have investigated the possibility of low NOx micro-mix hydrogen combustion and its application to an industrial gas turbine combustor. From 2014 to 2018, KHI developed a DLN hydrogen combustor for a 2MW class industrial gas turbine with the micro-mix technology. Thereby, the ignition performance, the flame stability for equivalent rotational speed, and higher load conditions were investigated. NOx emission values were kept about half of the Air Pollution Control Law in Japan: 84ppm (O2-15\%). Hereby, the elementary combustor development was completed. From May 2020, KHI started the engine demonstration operation by using an M1A-17 gas turbine with a co-generation system located in the hydrogen-fueled power generation plant in Kobe City, Japan. During the first engine demonstration tests, adjustments of engine starting and load control with fuel staging were investigated. On 21st May, the electrical power output reached 1,635 kW, which corresponds to 100\% load (ambient temperature 20 °C), and thereby NOx emissions of 65 ppm (O2-15, 60 RH\%) were verified. Here, for the first time, a DLN hydrogen-fueled gas turbine successfully generated power and heat.},
  language  = {en}
}
@inproceedings{KronigerHorikawaFunkeetal.2021,
  author    = {Kroniger, Daniel and Horikawa, Atsushi and Funke, Harald and Pf{\"a}ffle, Franziska and Kishimoto, Tsuyoshi and Okada, Koichi},
  title     = {Experimental and numerical investigation on the effect of pressure on micromix hydrogen combustion},
  series = {Conference Proceedings Turbo Expo: Power for Land, Sea and Air, Volume 3A: Combustion, Fuels, and Emissions},
  booktitle = {Conference Proceedings Turbo Expo: Power for Land, Sea and Air, Volume 3A: Combustion, Fuels, and Emissions},
  publisher = {ASME},
  address   = {New York, NY},
  doi       = {10.1115/GT2021-58926},
  pages     = {11 Seiten},
  year      = {2021},
  abstract  = {The micromix (MMX) combustion concept is a DLN gas turbine combustion technology designed for high hydrogen content fuels. Multiple non-premixed miniaturized flames based on jet in cross-flow (JICF) are inherently safe against flashback and ensure a stable operation in various operative conditions. The objective of this paper is to investigate the influence of pressure on the micromix flame with focus on the flame initiation point and the NOx emissions. A numerical model based on a steady RANS approach and the Complex Chemistry model with relevant reactions of the GRI 3.0 mechanism is used to predict the reactive flow and NOx emissions at various pressure conditions. Regarding the turbulence-chemical interaction, the Laminar Flame Concept (LFC) and the Eddy Dissipation Concept (EDC) are compared. The numerical results are validated against experimental results that have been acquired at a high pressure test facility for industrial can-type gas turbine combustors with regard to flame initiation and NOx emissions. The numerical approach is adequate to predict the flame initiation point and NOx emission trends. Interestingly, the flame shifts its initiation point during the pressure increase in upstream direction, whereby the flame attachment shifts from anchoring behind a downstream located bluff body towards anchoring directly at the hydrogen jet. The LFC predicts this change and the NOx emissions more accurately than the EDC. The resulting NOx correlation regarding the pressure is similar to a non-premixed type combustion configuration.},
  language  = {en}
}
@inproceedings{LorenzAltherrPelz2020,
  author    = {Lorenz, Imke-Sophie and Altherr, Lena and Pelz, Peter F.},
  title     = {Assessing and Optimizing the Resilience of Water Distribution Systems Using Graph-Theoretical Metrics},
  series = {Operations Research Proceedings 2019},
  booktitle = {Operations Research Proceedings 2019},
  editor    = {Neufeld, Janis S. and Buscher, Udo and Lasch, Rainer and M{\"o}st, Dominik and Sch{\"o}nberger, J{\"o}rn},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-48439-2},
  doi       = {10.1007/978-3-030-48439-2_63},
  pages     = {521 -- 527},
  year      = {2020},
  abstract  = {Water distribution systems are an essential supply infrastructure for cities. Given that climatic and demographic influences will pose further challenges for these infrastructures in the future, the resilience of water supply systems, i.e. their ability to withstand and recover from disruptions, has recently become a subject of research. To assess the resilience of a WDS, different graph-theoretical approaches exist. Next to general metrics characterizing the network topology, also hydraulic and technical restrictions have to be taken into account. In this work, the resilience of an exemplary water distribution network of a major German city is assessed, and a Mixed-Integer Program is presented which allows to assess the impact of capacity adaptations on its resilience.},
  language  = {en}
}
@inproceedings{LeiseSimonAltherr2020,
  author    = {Leise, Philipp and Simon, Nicolai and Altherr, Lena},
  title     = {Comparison of Piecewise Linearization Techniques to Model Electric Motor Efficiency Maps: A Computational Study},
  series = {Operations Research Proceedings 2019},
  booktitle = {Operations Research Proceedings 2019},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-48439-2},
  doi       = {10.1007/978-3-030-48439-2_55},
  pages     = {457 -- 463},
  year      = {2020},
  abstract  = {To maximize the travel distances of battery electric vehicles such as cars or buses for a given amount of stored energy, their powertrains are optimized energetically. One key part within optimization models for electric powertrains is the efficiency map of the electric motor. The underlying function is usually highly nonlinear and nonconvex and leads to major challenges within a global optimization process. To enable faster solution times, one possibility is the usage of piecewise linearization techniques to approximate the nonlinear efficiency map with linear constraints. Therefore, we evaluate the influence of different piecewise linearization modeling techniques on the overall solution process and compare the solution time and accuracy for methods with and without explicitly used binary variables.},
  language  = {en}
}