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Pressemeldungen

Publications

of Institute Members

Peer-Reviewed

2021

  • Arockia Selvakumar Arockia Doss,Daniel Schilberg (eds.): International Conference on Robotics, Intelligent Automation and Control Technologies (RIACT 2020) 2-3 October 2020, Chennai, India. In IOP Conf. Series: Materials Science and Engineering 1012 (2021).

  • Kollmar, S., Merchiers, A., Blunck, H.: Business Intelligence in KMU – Realisierung in einer heterogenen IT-Systemlandschaf. In Georesources 3|2021 (S. 64-70), PDF

  • Merchiers, A. et. al.: Datengetriebene Leistungserfassung bei Bergbaumaschinen zur Efzienzsteigerung. In Georesources 1|2021 (S.41-53), PDF (deutsch), PDF (englisch)

  • Oestermann, F., Mudersbach, C., 2021 (im Druck). Langjährige Trends der Niedrigwasserkennwerte in Deutschland. Hydrologie und Wasserbewirtschaftung.

  • Simon, F., Oestermann, F., Netzel, F., Mudersbach, C., 2021 (im Druck). Unsicherheitsbetrachtung von Durchflussmessungen und deren Auswirkungen auf Hoch- und Niedrigwasserkennwerte. Wasserwirtschaft.

  • Talabattula Sai Abhishek, Daniel Schilberg, Arockia Selvakumar Arockia Doss: Obstacle Avoidance Algorithms: A Review. In IOP Conf. Series: Materials Science and Engineering 1012 (2021) 012052, PDF

2020

  • Abinandh Ananthakrishnan, Johannes Moeller, Daniel Schilberg: The Analysis of the Influence of Suspension Parameters in Reducing Motion Sickness in Vehicles. In: The 21st International Conference on Research and Education in Mechatronics (REM 2020) on December 9-11, 2020. IEEE Danvers, MA; USA, ISBN: 978‐1‐7281‐6224‐9 IEEE Catalog Number: CFP2045X‐ART; BibTex
  • Frochte, J. & Marsland, S. (2020). Regression learning on patches.2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1786–1793. BibTex, PDF
  • Knauer, Henning; Dederichs-Koch, Andres; Schilberg, Daniel: Developing a Reinforcement Learning Agent
    for the Game of Checkers
    In: Advances in Human Factors in Training, Education and Learning Sciences. Springer Nature Switzerland AG, 2020, pp. 164-169. BibTex
  • Mudersbach, C., 2020. Beeinflussung der Hochwasserstatistik durch Hochwasserrückhaltebecken. KW - Korrespondenz Wasserwirtschaft 13 (11), 627–634.
  • Mudersbach, C., 2020. Methoden zur Ermittlung des Gesamtzuflusses bei Talsperren: Grundsätze und Fallbeispiel. Wasserwirtschaft (7-8), 32-39.
  • Netzel, F., Simon, F., Hartung, A., Bours, H., Mudersbach, C., 2020. Auswertung und weiterführende Untersuchung von ADCP-Messungen. Wasserwirtschaft (7-8), 12–19.
  • Tousside, B., Mohr, J., Schmidt, M. & Frochte, J. (2020). A Learning Approach for Optimizing Robot Behavior Selection Algorithm. In C. S. Chan, H. Liu, X. Zhu, C. H.Lim, X. Liu, L. Liu & K. M. Goh (Hrsg.), Intelligent Robotics and Applications(S. 171–183). Springer International Publishing. BibTex

2019

  • Börzel, S. & Frochte, J. (2019). Case Study on Model-based Application of Machine Learning using Small CAD Databases for Cost Estimation. Proceedings of the11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management,1, 258–265. BibTex, PDF
  • Dinges, Marco; Schilberg, Daniel; Ciethier, Stephan: Development of a Navigation Algorithm for Optimal Path Planning for Autonomous Electric Vehicles. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), ISBN: 978-1-7281-4003-2, ©2019 IEEE, pp. 3740-3747. BibTex
  • Frochte, J., Lemmen, M. & Schmidt, M. (2019). Concerning the Integration of Machine Learning Content in Mechatronics Curricula. In M. K. Habib (Hrsg.), Revolutionizing Education in the Age of AI and Machine Learning (S. 75–96). IGI Global. BibTex, PDF
  • Frochte, J. & Marsland, S. (2019). A Learning Approach for Ill-Posed Optimisation Problems. In T. D. Le, K.-L. Ong, Y. Zhao, W. H. Jin, S. Wong, L. Liu &G. Williams (Hrsg.), Data Mining(S. 16–27). Springer Singapore. BibTex
  • Kelm, T., Krüger, M., Pfister, A., Klein, U., Netzel, F., Mudersbach, C., 2019. Berechnung und Anwendung des Weather Extremity Index am Beispiel des östlichen Emschergebiets. Korrespondenz Wasserwirtschaft 12 (4), 230–236.
  • Mohamed Fazil M. S., Arockia Selvakumar A., Daniel SchilbergStereo Vision Based Robot for Remote Monitoring with VR Support. In: International Journal of Engineering and Advanced Technology (IJEAT); ISSN: 2249 – 8958, Volume-9 Issue-1S3, December 2019.
  • Schmitz, Serbastian; Schilberg, Daniel: Interactive HMI for Qualification and Programming in Process Automation EduBrain 4.0. In: Human Interface and the Management of Information - Visual Information and Knowledge Management; Lecture Notes in Computer Science ISBN 978-3-030-22659-6. Springer Nature Switzerland AG, 2019, pp. 343-351. BibTex
  • Stinder, Ann Kathrin Lydia; Frische, Alexander-Maximilian; Schilberg, Daniel: How can robotics be integrated into the field of care and acceptance by the population for the use of artificial intelligence be strengthened?” In: Advances in Human Factors in Training, Education and Learning Sciences. Springer Nature Switzerland AG, 2019, pp. 85-94. BibTex
  • Strassmann, Tim; Wurm, Anna-Lena; Schilberg, Daniel: Development of a Concept for the Use of Humanoid Robot System: the Example of a Logistic Support Process at the Mercedes-Benz Plant Duesseldorf. In: Human Systems Engineering and Design II; Advances in Intelligent Systems and Computing ISBN 978-3-030-27927-1. Springer Nature Switzerland AG, 2019, pp. 840-847. BibTex

2018

  • Bender, J., Jensen, J., Mudersbach, C., Klein, B., Rothe, B., 2018. Multivariate Wahrscheinlichkeiten: ein Mehrgewinn - nicht nur für die Wissenschaft. KW - Korrespondenz Wasserwirtschaft 11 (3), 160–165.
  • Frochte, J., Lemmen, M. & Schmidt, M. (2018). Seamless Integration of Machine Lear-ning Contents in Mechatronics Curricula.2018 19th International Conference on Research and Education in Mechatronics (REM), 75–80. BibTex, PDF
  • Schilberg, Daniel; Schmitz, Sebastian: Informationsmodell für intentionsbasierte Roboter-Mensch-Interaktion. In: Pflegeroboter. Springer Gabler 2018, ISBN 978-3-658-22697-8, S. 23-36. BibTex

2017

  • Bender, J., Niehüser, S., Jensen, J., Mudersbach, C., 2017. Die Verwendung von diskretisierten Abflussreihen für die statistische Ermittlung von Hochwasserwerten. Wasserwirtsch 107 (7-8), 38–42.
  • Knauer, H.; Schmitz, S.; Jeschke, S.; Schilberg, D.: Conception of a Heterogeneous Robotic Training Factory. In: REM 2017, Wolfenbüttel. BibTex
  • Mudersbach, C., Bender, J., 2017. Ein Bemessungsansatz für wasserwirtschaftliche Infrastruktur bei instationären Bedingungen. Hydrologie und Wasserbewirtschaftung 61 (2), 85–92.
  • Mudersbach, C., Bender, J., Netzel, F., 2017. An analysis of changes in flood quantiles at the gauge Neu Darchau (Elbe River) from 1875 to 2013. Stoch Environ Res Risk Assess 31 (1), 145–157.
  • Netzel, F., Mudersbach, C., Scheibel, M., 2017. Systematische Vergleiche von Durchflussmessungen — Optimierungsansätze durch Kombinationsmöglichkeiten. Wasserwirtsch 107 (7-8), 31–34.
  • Schilberg, Daniel; Hoffmann, Max; Schmitz, Sebastian; Meisen, Tobias: Interoperability in Smart Automation of Cyber Physical Systems. In: Industrial Internet of Things, Part of the series Springer Series in Wireless Technology. Berlin, Springer 2017, ISBN: 978-3-319-42558-0, pp 261-286. BibTex

2016

  • Bernst, I., Kaufmann, C. & Frochte, J. (2016). On learning assistance systems for nu-merical simulation. International Journal on Computer Science and InformationSystems,11(1), 115–133. BibTex
  • Daniel Schilberg, Sebastian Schmitz: Information Model for Intention-Based Robot-Human Interaction. In: Advances in Human Factors and System Interactions. In Advances in Intelligent Systems and Computing Vol. 497, Proceedings of the AHFE 2016 International Conference on Human Factors and System Interactions, July 27 – 31, 2016, Walt Disney World ®, Florida, USA, Springer 2016, ISBN 978-3-319-41955-8, pp. 129-140.
  • Frochte, J. & Bernst, I. (2016). Success Prediction System for Student Counseling Using Data Mining. In A. Fred, J. Dietz, D. Aveiro, K. Liu, J. Bernardino & J. Filipe (Hrsg.), Proceedings of the 8th International Conference on Knowledge Discovery and Information Retrieval (S. 181–189). BibTex
  • Mudersbach, C., Bender, J., Netzel, F., 2016. An analysis of changes in flood quantiles at the gauge Neu Darchau (Elbe River) from 1875 to 2013. Proc. IAHS 373, 193–199.
  • Schmitz, Sebastian; Schilberg, Daniel; Kuhlenkötter, Bernd: Konzeptionierung eines servogesteuerten-Roboter-Manipulators für das Handling und die Montage von Reifen und Felgen der „Losgröße 1“, in Automation 2016: 17. Branchentreff der Mess- und Automatisierungstechnik ; Baden-Baden, Germany, 7-8 June 2016, vol. 2284, VDI-Berichte , Düsseldorf: VDI, 2016.

2015

  • Bernst, I., Kaufmann, C. & Frochte, J. (2015). Learning Load Balancing for Simulati-on in Heterogeneous Systems. In H. Weghorn (Hrsg.), Proceedings of the 12th International Conference on Applied Computing 2015(S. 121–128). BibTex
  • Bouillon, P., Frochte, J. & Lemmen, M. (2015). Influence of plant model variants for the automatic optimisation of control parameters. 16th International Conference on Research and Education in Mechatronics (REM), 80–87. BibTex, PDF
  • Büscher, Christian; Meisen, Tobias; Schilberg, Daniel; Jeschke, Sabina: VPI-FP: an integrative information system for factory planning, in International Journal of Production Research, Tylor and Francis, 2015. PDF
  • Hennemuth, B., Bender, S., Bülow, K., Dreier, N., Hoffmann, P., Keup-Thiel, E., Mudersbach, C., 2015. Collecting Statistical Methods for the Analysis of Climate Data as Service for Adaptation Projects. AJCC 04 (01), 9–21.
  • Thelen, Sebastian; Czaplik, Michael; Meisen, Philipp; Schilberg, Daniel; Jeschke, Sabina: Using off-the-shelf medical devices for biomedical signal monitoring in a telemedicine system for emergency medical services, in IEEE journal of biomedical and health informatics, New York, NY: IEEE, vol. 19, no. 1, pp. 117-123, 2015.
  • Wahl, T., Mudersbach, C., Jensen, J., 2015. Statistical Assessment of Storm Surge Scenarios Within Integrated Risk Analyses. Coast. Eng. J., 1540003.

2014

  • Bernst, I., Bouillon, P., Frochte, J. & Kaufmann, C. (2014). An approach for load balancing for simulation in heterogeneous distributed systems using simulation datamining. In H. Weghorn (Hrsg.), Proceedings of the 11th International Conference on Applied Computing 2014 (S. 254–238). BibTex
  • Frochte, J., Kaufmann, C. & Bouillon, P. (2014). An approach for secure cloud computing for FEM simulation. In H. Weghorn (Hrsg.), Proceedings of the 11th International Conference on Applied Computing 2014 (S. 234–238). BibTex
  • Jensen, J., Arns, A., Mudersbach, C., Barjenbruch, U., 2014. Entwicklung eines neuen Verfahrens zur automatischen Erkennung und Festlegung von Tidescheiteln im Bereich der Deutschen Bucht und der Ästuare. Hydrologie und Wasserbewirtschaftung 58 (6).

2013

  • Burrows, S., Frochte, J., Völske, M., Torres, A. B. M. & Stein, B. (2013). Learning Overlap Optimization for Domain Decomposition Methods. In J. Pei, V. S. Tseng,L. Cao, H. Motoda & G. Xu (Hrsg.), Proceedings of the Seventeenth Pacific-Asia Conference on Knowledge Discovery and Data Mining(S. 438–449). Springer. BibTex, PDF
  • Dangendorf, S., Mudersbach, C., Jensen, J., Anette, G., Heinrich, H., 2013. Seasonal to decadal forcing of high water level percentiles in the German Bight throughout the last century. Ocean Dynamics (63), 533–548.

  • Dangendorf, S., Mudersbach, C., Wahl, T., Jensen, J., 2013. Characteristics of intra-, inter-annual and decadal sea-level variability and the role of meteorological forcing: the long record of Cuxhaven. Ocean Dynamics 63 (2-3), 209–224.

  • Dangendorf, S., Wahl, T., Mudersbach, C., J. Jensen, 2013. The Seasonal Mean Sea Level Cycle in the Southeastern North Sea. Journal of Coastal Research (65), 1915–1920.

  • Mudersbach, C., Wahl, T., Haigh, I.D., Jensen, J., 2013. Trends in high sea levels of German North Sea gauges compared to regional mean sea level changes. Continental Shelf Research 65, 111–120.

2012

  • Dangendorf, S., Wahl, T., Hein, H., Jensen, J., Mai, S., Mudersbach, C., 2012. Mean Sea Level Variability and Influence of the North Atlantic Oscillation on Long-Term Trends in the German Bight. Water 4 (1), 170–195.

2011

  • Burrows, S., Stein, B., Frochte, J., Wiesner, D. & Müller, K. (2011). Simulation Data Mining for Supporting Bridge Design. Proceedings of the Ninth Australasian Data Mining Conference - Volume 121, 163–170. BibTex

2010

  • Mudersbach, C., Jensen, J., 2010. Non-stationary extreme value analysis of annual maximum water levels for designing coastal structures at the German North Sea coastline. Journal of Flood Risk Management 3 (1), 52–62.

2009

  • C. Düntgen, T. Behr, and R.H. Güting, 2009. BerlinMOD: A Benchmark for Moving Object Databases. The VLDB Journal 18:6 (2009), 1335-1368. BibTex

2007

  • V.T. de Almeida, R.H. Güting, and C. Düntgen, 2007. Multiple Entry Indexing and Double Indexing. 11th Intl. Database Engineering and Applications Symposium (IDEAS 2007), Banff, Alberta, Canada, 181-189. BibTex

Miscellaneous

2013

  • R.H. Güting, T. Behr, and C. Düntgen, 2013. Trajectory Databases. C. Renso, S. Spaccapietra, E. Zimanyi (Eds.), Mobility Data: Modeling, Management and Understanding. Cambridge University Press (2013), 42-61.BibTex

2010

  • C. Düntgen, T. Behr, and R.H. Güting, 2010. Assessing Representations for Moving Object Histories.Fernuniversität in Hagen, Informatik-Report 357 - 9/2010.
  • R.H. Güting, T. Behr, and C. Düntgen, 2010. SECONDO: A Platform for Moving Objects Database Research and for Publishing and Integrating Research Implementations. IEEE Data Engineering Bulletin 33:2 (2010), 56-63. BibTex