@inproceedings{PisarczykRitzSachtleben2013,
  author    = {Pisarczyk, Rafael and Ritz, Thomas and Sachtleben, Johanna},
  title     = {KMU-taugliche Modelle zur Entwicklung gebrauchstauglicher mobiler Unternehmenssoftware},
  series = {Mensch \& Computer 2013 - Workshopband : 13. fach{\"u}bergreifende Konferenz f{\"u}r interaktive und kooperative Medien},
  booktitle = {Mensch \& Computer 2013 - Workshopband : 13. fach{\"u}bergreifende Konferenz f{\"u}r interaktive und kooperative Medien},
  editor    = {Boll-Westermann, Susanne},
  publisher = {Oldenbourg},
  address   = {M{\"u}nchen},
  isbn      = {978-3-486-77855-7 (Print)},
  doi       = {10.1524/9783486781236},
  pages     = {29 -- 38},
  year      = {2013},
  language  = {de}
}
@article{EilmannDobbertinRigling2013,
  author    = {Eilmann, Britta and Dobbertin, Matthias and Rigling, Andreas},
  title     = {Growth response of Scots pine with different crown transparency status to drought release},
  series = {Annals of Forest Science},
  volume    = {70},
  journal   = {Annals of Forest Science},
  number    = {7},
  publisher = {Springer},
  address   = {Cham},
  issn      = {1286-4560 (Print)},
  doi       = {10.1007/s13595-013-0310-z},
  pages     = {685 -- 693},
  year      = {2013},
  language  = {en}
}
@inproceedings{PothMonzonTippkoetteretal.2010,
  author    = {Poth, Sebastian and Monzon, Magaly and Tippk{\"o}tter, Nils and Ulber, Roland},
  title     = {Lignocellulosic biorefinery : process integration of hydrolysis and fermentation},
  series = {Proceedings / 11th European Workshop on Lignocellulosics and Pulp : August 16 - 19, 2010, Hamburg, Germany},
  booktitle = {Proceedings / 11th European Workshop on Lignocellulosics and Pulp : August 16 - 19, 2010, Hamburg, Germany},
  publisher = {vTi},
  address   = {Hamburg},
  pages     = {65 -- 68},
  year      = {2010},
  language  = {en}
}
@incollection{BuxbaumLangeRingbeck2009,
  author    = {Buxbaum, Bernd and Lange, Robert and Ringbeck, Thorsten},
  title     = {3D-Imaging},
  series = {Handbuch Fahrerassistenzsysteme : Grundlagen, Komponenten und Systeme f{\"u}r aktive Sicherheit und Komfort ; mit 45 Tabellen},
  booktitle = {Handbuch Fahrerassistenzsysteme : Grundlagen, Komponenten und Systeme f{\"u}r aktive Sicherheit und Komfort ; mit 45 Tabellen},
  editor    = {Winner, Hermann},
  edition   = {1. Auflage},
  publisher = {Vieweg + Teubner},
  address   = {Wiesbaden},
  isbn      = {978-3-8348-0287-3},
  pages     = {187 -- 197},
  year      = {2009},
  language  = {de}
}
@article{StiemerThomaBraun2023,
  author    = {Stiemer, Luc Nicolas and Thoma, Andreas and Braun, Carsten},
  title     = {MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation},
  series = {PLoS ONE},
  volume    = {18},
  journal   = {PLoS ONE},
  number    = {9},
  publisher = {PLOS},
  address   = {San Fancisco},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0291415},
  pages     = {e0291415},
  year      = {2023},
  abstract  = {This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While tracking algorithms for bumblebees exist, they often come with intensive restrictions, such as the need for sufficient lighting, high contrast between the animal and background, absence of occlusion, significant user input, etc. Tracking flight paths of bumblebees in a social group is challenging. They suddenly adjust movements and change their appearance during different wing beat states while exhibiting significant similarities in their individual appearance. The MBT3D tracker, developed in this research, is an adaptation of an existing ant tracking algorithm for bumblebee tracking. It incorporates an offline trained appearance descriptor along with a Kalman Filter for appearance and motion matching. Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. The detection models were trained on a dataset containing 11359 labeled bumblebee images. YOLOv5 reaches an Average Precision of AP = 53, 8\%, Faster R-CNN achieves AP = 45, 3\% and RetinaNet AP = 38, 4\% on the bumblebee validation dataset, which consists of 1323 labeled bumblebee images. The tracker's appearance model is trained on 144 samples. The tracker (with Faster R-CNN detections) reaches a Multiple Object Tracking Accuracy MOTA = 93, 5\% and a Multiple Object Tracking Precision MOTP = 75, 6\% on a validation dataset containing 2000 images, competing with state-of-the-art computer vision methods. The framework allows reliable tracking of different bumblebees in the same video stream with rarely occurring identity switches (IDS). MBT3D has much lower IDS than other commonly used algorithms, with one of the lowest false positive rates, competing with state-of-the-art animal tracking algorithms. The developed framework reconstructs the 3-dimensional (3D) flight paths of the bumblebees by triangulation. It also handles and compares two alternative stereo camera pairs if desired.},
  language  = {en}
}
@inproceedings{GrundAltherr2023,
  author    = {Grund, Raphael M. and Altherr, Lena},
  title     = {Development of an open source energy disaggregation tool for the home automation platform Home Assistant},
  series = {Tagungsband AALE 2023 : mit Automatisierung gegen den Klimawandel},
  booktitle = {Tagungsband AALE 2023 : mit Automatisierung gegen den Klimawandel},
  editor    = {Reiff-Stephan, J{\"o}rg and J{\"a}kel, Jens and Schwarz, Andr{\´e}},
  publisher = {le-tex publishing services GmbH},
  address   = {Leipzig},
  isbn      = {978-3-910103-01-6},
  doi       = {10.33968/2023.02},
  pages     = {11 -- 20},
  year      = {2023},
  abstract  = {In order to reduce energy consumption of homes, it is important to make transparent which devices consume how much energy. However, power consumption is often only monitored aggregated at the house energy meter. Disaggregating this power consumption into the contributions of individual devices can be achieved using Machine Learning. Our work aims at making state of the art disaggregation algorithms accessibe for users of the open source home automation platform Home Assistant.},
  language  = {en}
}
@inproceedings{Tepecik2024,
  author    = {Tepecik, Atakan},
  title     = {AstroBioLab: Review of technical and bioanalytical approaches},
  series = {YRA MedTech Symposium (2024)},
  booktitle = {YRA MedTech Symposium (2024)},
  editor    = {Digel, Ilya and Staat, Manfred and Trzewik, J{\"u}rgen and Sielemann, Stefanie and Erni, Daniel and Zylka, Waldemar},
  publisher = {Universit{\"a}t Duisburg-Essen},
  address   = {Duisburg},
  organization    = {MedTech Symposium},
  isbn      = {978-3-940402-65-3},
  doi       = {10.17185/duepublico/81475},
  pages     = {33 -- 34},
  year      = {2024},
  abstract  = {This study presents the concept of AstroBioLab, an autonomous astrobiological field laboratory tailored for the exploration of (sub)glacial habitats. AstroBioLab is an integral component of the TRIPLE (Technologies for Rapid Ice Penetration and subglacial Lake Exploration) DLR-funded project, aimed at advancing astrobiology research through the development and deployment of innovative technologies. AstroBioLab integrates diverse measurement techniques such as fluorescence microscopy, DNA sequencing and fluorescence spectrometry, while leveraging microfluidics for efficient sample delivery and preparation.},
  language  = {en}
}
@inproceedings{KreyerEsch2017,
  author    = {Kreyer, J{\"o}rg and Esch, Thomas},
  title     = {Simulation Tool for Predictive Control Strategies for an ORCSystem in Heavy Duty Vehicles},
  series = {European GT Conference 2017},
  booktitle = {European GT Conference 2017},
  pages     = {16 Seiten},
  year      = {2017},
  abstract  = {Scientific questions - How can a non-stationary heat offering in the commercial vehicle be used to reduce fuel consumption? - Which potentials offer route and environmental information among with predicted speed and load trajectories to increase the efficiency of a ORC-System? Methods - Desktop bound holistic simulation model for a heavy duty truck incl. an ORC System - Prediction of massflows, temperatures and mixture quality (AFR) of exhaust gas},
  language  = {en}
}
@incollection{Finkenberger2022,
  author    = {Finkenberger, Isabel Maria},
  title     = {R{\"a}umliche Transformation als Planungsaufgabe},
  series = {Zur{\"u}ck in die Zukunft. Denkmalpflege und Strukturwandel im Rheinischen Revier},
  booktitle = {Zur{\"u}ck in die Zukunft. Denkmalpflege und Strukturwandel im Rheinischen Revier},
  editor    = {Pufke, Andrea},
  publisher = {LVR-Amt f{\"u}r Denkmalpflege im Rheinland},
  address   = {Pulheim},
  pages     = {70 -- 77},
  year      = {2022},
  language  = {de}
}
@inproceedings{SchreiberKraftZuendorf2017,
  author    = {Schreiber, Marc and Kraft, Bodo and Z{\"u}ndorf, Albert},
  title     = {Metrics driven research collaboration: focusing on common project goals continuously},
  series = {Proceedings : 2017 IEEE/ACM 4th International Workshop on Software Engineering Research and Industrial Practice : SER\&IP 2017 : 21 May 2017 Buenos Aires, Argentina},
  booktitle = {Proceedings : 2017 IEEE/ACM 4th International Workshop on Software Engineering Research and Industrial Practice : SER\&IP 2017 : 21 May 2017 Buenos Aires, Argentina},
  editor    = {Bilof, Randall},
  publisher = {IEEE Press},
  address   = {Piscataway, NJ},
  isbn      = {978-1-5386-2797-6},
  doi       = {10.1109/SER-IP.2017..6},
  pages     = {41 -- 47},
  year      = {2017},
  language  = {en}
}