@inproceedings{StenderRitz2003, author = {Stender, Michael and Ritz, Thomas}, title = {Modeling of business-to-business mobile commerce processes}, series = {Electronic proceedings / ICPR 17, 17th International Conference on Production Research [Blacksburg, Virginia, USA, August 3 - 7, 2003]}, booktitle = {Electronic proceedings / ICPR 17, 17th International Conference on Production Research [Blacksburg, Virginia, USA, August 3 - 7, 2003]}, edition = {CD-ROM-Ausg.}, address = {Blacksburg, Va.}, isbn = {0-9721257-3-6}, year = {2003}, language = {en} } @inproceedings{NikolovskiLimpertNessauetal.2023, author = {Nikolovski, Gjorgji and Limpert, Nicolas and Nessau, Hendrik and Reke, Michael and Ferrein, Alexander}, title = {Model-predictive control with parallelised optimisation for the navigation of autonomous mining vehicles}, series = {2023 IEEE Intelligent Vehicles Symposium (IV)}, booktitle = {2023 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, isbn = {979-8-3503-4691-6 (Online)}, doi = {10.1109/IV55152.2023.10186806}, pages = {6 Seiten}, year = {2023}, abstract = {The work in modern open-pit and underground mines requires the transportation of large amounts of resources between fixed points. The navigation to these fixed points is a repetitive task that can be automated. The challenge in automating the navigation of vehicles commonly used in mines is the systemic properties of such vehicles. Many mining vehicles, such as the one we have used in the research for this paper, use steering systems with an articulated joint bending the vehicle's drive axis to change its course and a hydraulic drive system to actuate axial drive components or the movements of tippers if available. To address the difficulties of controlling such a vehicle, we present a model-predictive approach for controlling the vehicle. While the control optimisation based on a parallel error minimisation of the predicted state has already been established in the past, we provide insight into the design and implementation of an MPC for an articulated mining vehicle and show the results of real-world experiments in an open-pit mine environment.}, language = {en} } @inproceedings{KallweitFerreinScholletal.2014, author = {Kallweit, Stephan and Ferrein, Alexander and Scholl, Ingrid and Reichert, Walter}, title = {Mobile Autonome Systeme in der Lehre, am Beispiel der ROS Summer School}, series = {Tagungsband AALE 2014 : das Forum f{\"u}r Fachleute der Automatisierungstechnik aus Hochschulen und Wirtschaft ; 11. Fachkonferenz, Regensburg ; [11. Konferenz f{\"u}r Angewandte Automatisierungstechnik in Lehre und Entwicklung / Ostbayerische Technische Hochschule Regensburg; VFAALE, Verein der Freunde und F{\"o}rderer der Angewandten Automatisierungstechnik]}, booktitle = {Tagungsband AALE 2014 : das Forum f{\"u}r Fachleute der Automatisierungstechnik aus Hochschulen und Wirtschaft ; 11. Fachkonferenz, Regensburg ; [11. Konferenz f{\"u}r Angewandte Automatisierungstechnik in Lehre und Entwicklung / Ostbayerische Technische Hochschule Regensburg; VFAALE, Verein der Freunde und F{\"o}rderer der Angewandten Automatisierungstechnik]}, publisher = {Dt. Industrieverl.}, address = {M{\"u}nchen}, isbn = {978-3-8356-7142-3}, pages = {157 -- 163}, year = {2014}, language = {de} } @inproceedings{ElsenSchmalzbauer2011, author = {Elsen, Ingo and Schmalzbauer, Michael}, title = {Messsystematik zur Steuerung der Produkt- und Prozessqualit{\"a}t in Systemintegrationsprojekten - ein Erfahrungsbericht}, series = {Software Engineering 2011 - Fachtagung des GI-Fachbereichs Softwaretechnik, 21. - 25. Februar 2011 in Karlsruhe}, booktitle = {Software Engineering 2011 - Fachtagung des GI-Fachbereichs Softwaretechnik, 21. - 25. Februar 2011 in Karlsruhe}, editor = {Reussner, Ralf and Grund, Matthias and Andreas, Oberweis and Tichy, Walter}, publisher = {Gesellschaft f{\"u}r Informatik eV}, address = {Bonn}, isbn = {9783885792772}, issn = {1617-5468}, pages = {1 Seite}, year = {2011}, abstract = {Der Erfolg eines Softwarenentwicklungsprojektes insbesondere eines Systemintegrationsprojektes wird mit der Erf{\"u}llung des „Teufelsdreiecks", „In-Time", „In-Budget", „In-Quality" gemessen. Hierzu ist die Kenntnis der Software- und Prozessqualit{\"a}t essenziell, um die Einhaltung der Qualit{\"a}tskriterien festzustellen, aber auch, um eine Vorhersage hinsichtlich Termin- und Budgettreue zu treffen. Zu diesem Zweck wurde in der T-Systems Systems Integration ein System aus verschiedenen Key Performance Indikatoren entworfen und in der Organisation implementiert, das genau das leistet und die Kriterien f{\"u}r CMMI Level 3 erf{\"u}llt.}, language = {de} } @inproceedings{SchollBartellaMoluluoetal.2019, author = {Scholl, Ingrid and Bartella, Alex and Moluluo, Cem and Ertural, Berat and Laing, Frederic and Suder, Sebastian}, title = {MedicVR : Acceleration and Enhancement Techniques for Direct Volume Rendering in Virtual Reality}, series = {Bildverarbeitung f{\"u}r die Medizin 2019 : Algorithmen - Systeme - Anwendungen}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2019 : Algorithmen - Systeme - Anwendungen}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-25326-4}, doi = {10.1007/978-3-658-25326-4_32}, pages = {152 -- 157}, year = {2019}, language = {en} } @inproceedings{DetertGligorevicHaaketal.2003, author = {Detert, T. and Gligorevic, Snjezana and Haak, W. and Sorger, Ulrich}, title = {Maximum-likelihood channel estimation using the spreading matrix in fast time-variant frequency selective channels}, series = {Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 : 14 - 17 December 2003, Darmstadt, Germany}, booktitle = {Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 : 14 - 17 December 2003, Darmstadt, Germany}, organization = {Institute of Electrical and Electronics Engineers}, isbn = {0-7803-8292-7}, pages = {347 -- 350}, year = {2003}, language = {en} } @inproceedings{SchuetzBreuerHoefkenetal.2013, author = {Sch{\"u}tz, P. and Breuer, M. and H{\"o}fken, Hans-Wilhelm and Schuba, Marko}, title = {Malware proof on mobile phone exhibits based on GSM/GPRS traces}, series = {The Second International Conference on Cyber Security, Cyber Peacefare and Digital Forensic (CyberSec 2013) : 04.03. - 06.03.2013, Kuala Lumpur, Malaysia}, booktitle = {The Second International Conference on Cyber Security, Cyber Peacefare and Digital Forensic (CyberSec 2013) : 04.03. - 06.03.2013, Kuala Lumpur, Malaysia}, publisher = {The Society of Digital Information and Wireless Communication}, isbn = {978-0-9853483-7-3}, pages = {89 -- 96}, year = {2013}, language = {en} } @inproceedings{CzarneckiWinkelmannSpiliopoulou2011, author = {Czarnecki, Christian and Winkelmann, Axel and Spiliopoulou, Myra}, title = {Making business systems in the telecommunication industry more customer-oriented}, series = {Information Systems Development : Business Systems and Services: Modeling and Development}, booktitle = {Information Systems Development : Business Systems and Services: Modeling and Development}, editor = {Pokorny, Jaroslav and Repa, Vaclav and Richta, Karel and Wojtkowski, Wita and Linger, Henry and Barry, Chris and Lang, Michael}, publisher = {Springer}, address = {New York}, isbn = {978-1-4419-9645-9 (Print)}, doi = {10.1007/978-1-4419-9790-6_14}, pages = {169 -- 180}, year = {2011}, abstract = {Market changes have forced telecommunication companies to transform their business. Increased competition, short innovation cycles, changed usage patterns, increased customer expectations and cost reduction are the main drivers. Our objective is to analyze to what extend transformation projects have improved the orientation towards the end-customers. Therefore, we selected 38 real-life case studies that are dealing with customer orientation. Our analysis is based on a telecommunication-specific framework that aligns strategy, business processes and information systems. The result of our analysis shows the following: transformation projects that aim to improve the customer orientation are combined with clear goals on costs and revenue of the enterprise. These projects are usually directly linked to the customer touch points, but also to the development and provisioning of products. Furthermore, the analysis shows that customer orientation is not the sole trigger for transformation. There is no one-fits-all solution; rather, improved customer orientation needs aligned changes of business processes as well as information systems related to different parts of the company.}, language = {en} } @inproceedings{NikolovskiRekeElsenetal.2021, author = {Nikolovski, Gjorgji and Reke, Michael and Elsen, Ingo and Schiffer, Stefan}, title = {Machine learning based 3D object detection for navigation in unstructured environments}, series = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)}, booktitle = {2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)}, publisher = {IEEE}, isbn = {978-1-6654-7921-9}, doi = {10.1109/IVWorkshops54471.2021.9669218}, pages = {236 -- 242}, year = {2021}, abstract = {In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.}, language = {en} } @inproceedings{FerreinNiemuellerSchifferetal.2013, author = {Ferrein, Alexander and Niem{\"u}ller, Tim and Schiffer, Stefan and Lakemeyer, Gerhard}, title = {Lessons learnt from developing the embodied AI platform CAESAR for domestic service robotics}, series = {Designing intelligent robots : reintegrating AI II ; papers from the AAAI spring symposium ; [held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University]. (Technical Report / Association for the Advancement of Artificial Intelligence ; 2013,4)}, booktitle = {Designing intelligent robots : reintegrating AI II ; papers from the AAAI spring symposium ; [held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University]. (Technical Report / Association for the Advancement of Artificial Intelligence ; 2013,4)}, editor = {Boots, Byron}, organization = {American Association for Artificial Intelligence}, isbn = {9781577356011}, pages = {21 -- 26}, year = {2013}, language = {en} }