@inproceedings{26850,
  author       = {{Japs, Sergej and Anacker, Harald and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  pages        = {{187--192}},
  title        = {{{SAVE: Security & safety by model-based systems engineering on the example of automotive industry}}},
  year         = {{2021}},
}

@inproceedings{26851,
  author       = {{Dumitrescu, Roman and Anacker, Harald and Grote, Eva-Maria and Rasor, Rik and Tekaat, Julian and Meyer, Maurice and Gausemeier, Jürgen and Steglich, Steffen}},
  booktitle    = {{Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}},
  editor       = {{Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}},
  location     = {{Berlin}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Erfolgspotentiale für die Zukunft des Engineeringstandorts Deutschland – Ein Beitrag zum Advanced Systems Engineering}}},
  year         = {{2021}},
}

@inproceedings{26852,
  author       = {{Kharatyan, Aschot and Tekaat, Julian and Japs, Sergej and Anacker, Harald and Dumitrescu, Roman}},
  booktitle    = {{ Proceedings of the Design Society}},
  location     = {{Cavtat, Dubrovnik, Croatia}},
  pages        = {{2027 -- 2036}},
  title        = {{{Metamodel for safety and security integrated system architecture modeling}}},
  volume       = {{Vol. 1}},
  year         = {{2021}},
}

@article{26855,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Cyber-physical systems (CPS) are able the collect huge amounts of data about themselves, their users, and their environment during their usage phase. By feeding these usage data back into product planning, manufacturers can optimize their engineering and decision-making processes. Despite promising potentials, most manufacturers still do not analyze usage data within product planning. Also, research on usage data-driven product planning is scarce. Therefore, this paper aims to identify the main concepts, advantages, success factors and challenges of usage data-driven product planning. To answer the corresponding research questions, a comprehensive systematic literature review is conducted. From its results, a detailed description of usage data-driven product planning consisting of six main concepts is derived. Furthermore, taxonomies for the advantages, success factors and challenges of usage data-driven product planning are presented. The six main concepts and the three taxonomies allow for a deeper understanding of the topic while highlighting necessary future actions and research needs.</jats:p>}},
  author       = {{Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{3289--3298}},
  title        = {{{UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW}}},
  doi          = {{10.1017/pds.2021.590}},
  year         = {{2021}},
}

@inproceedings{26857,
  author       = {{Meyer, Maurice and Hemkentokrax, Jan-Philipp and Koldewey, Christian and Dumitrescu, Roman and Tröster, Peter M. and Schlegel, Michael and Kling, Christopher L. and Rapp, Simon and Albers, Albert}},
  booktitle    = {{Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}},
  editor       = {{Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}},
  location     = {{Berlin}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Zukunftsrobuste Weiterentwicklung von Produktportfolios: Erkenntnisse und Handlungsbedarfe aus der Praxis}}},
  volume       = {{400}},
  year         = {{2021}},
}

@article{26858,
  author       = {{Meyer, Maurice and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}},
  journal      = {{Procedia CIRP}},
  pages        = {{1179--1184}},
  title        = {{{Towards Identifying Data Analytics Use Cases in Product Planning}}},
  volume       = {{104}},
  year         = {{2021}},
}

@inproceedings{26864,
  author       = {{Hemkentokrax, Jan-Philipp and Eckelt, Daniel and Haarmann, Lennard and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}},
  editor       = {{Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}},
  location     = {{Berlin}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Die Kraft von Startup-Partnerschaften  für das Innovationssystem eines Automobilzulieferers}}},
  volume       = {{400}},
  year         = {{2021}},
}

@inproceedings{26903,
  author       = {{Wegel, Arthur and Sahrhage, Philipp and Worthmann, Fabio and Rabe, Martin and Dumitrescu, Roman}},
  booktitle    = {{Stuttgarter Symposium für Produktentwicklung SSP 2021}},
  editor       = {{Binz, Hansgeorg and Bertsche, Bernd and Spath, Dieter and Roth, Daniel}},
  pages        = {{12}},
  title        = {{{Referenzarchitektur für Smart Services}}},
  doi          = {{http://dx.doi.org/10.18419/opus-11478}},
  year         = {{2021}},
}

@inproceedings{26905,
  author       = {{Reinhold, Jannik and Koldewey, Christian and Dumitrescu, Roman and Rausch, Gerhard}},
  booktitle    = {{Vorausschau und Technologieplanung - 16. Symposium Vorausschau und Technologieplanung}},
  editor       = {{Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}},
  location     = {{Berlin}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Smart Service-Transformation - Den Wandel der Wertschöpfung erfolgreich gestalten}}},
  volume       = {{400}},
  year         = {{2021}},
}

@article{26908,
  author       = {{Reinhold, Jannik and Ködding, Patrick and Scholtysik, Michel and Koldewey, Christian and Dumitrescu, Roman}},
  journal      = {{Procedia CIRP}},
  title        = {{{Identifying Value Creation Patterns for Smart Services}}},
  year         = {{2021}},
}

@inproceedings{3774,
  author       = {{Bondarenko, Alexander and Gienapp, Lukas and Fröbe, Maik and Beloucif, Meriem and Ajjour, Yamen and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and Hagen, Matthias}},
  booktitle    = {{Proceedings of the 43rd annual European Conference on Information Retrieval Research}},
  pages        = {{384--395}},
  title        = {{{Overview of Touché 2021: Argument Retrieval}}},
  year         = {{2021}},
}

@inproceedings{28917,
  author       = {{Feldmann, Michael and Padalkin, Andreas and Scheideler, Christian and Dolev, Shlomi}},
  booktitle    = {{Stabilization, Safety, and Security of Distributed Systems - 23rd International Symposium, (SSS) 2021, Virtual Event, November 17-20, 2021, Proceedings}},
  editor       = {{Johnen, Colette and Michael Schiller, Elad and Schmid, Stefan}},
  pages        = {{484--488}},
  publisher    = {{Springer}},
  title        = {{{Coordinating Amoebots via Reconfigurable Circuits}}},
  doi          = {{10.1007/978-3-030-91081-5\_34}},
  volume       = {{13046}},
  year         = {{2021}},
}

@misc{28998,
  author       = {{Suermann, Dennis}},
  title        = {{{Schutz und Stabilisierung von Overlay-Netzwerken mithilfe des Relay-Layers}}},
  year         = {{2021}},
}

@inbook{29046,
  author       = {{Feldhans, Robert and Wilke, Adrian and Heindorf, Stefan and Shaker, Mohammad Hossein and Hammer, Barbara and Ngonga Ngomo, Axel-Cyrille and Hüllermeier, Eyke}},
  booktitle    = {{Intelligent Data Engineering and Automated Learning – IDEAL 2021}},
  isbn         = {{9783030916077}},
  issn         = {{0302-9743}},
  title        = {{{Drift Detection in Text Data with Document Embeddings}}},
  doi          = {{10.1007/978-3-030-91608-4_11}},
  year         = {{2021}},
}

@inproceedings{29047,
  author       = {{Wilke, Adrian and Bannoura, Arwa and Ngonga Ngomo, Axel-Cyrille Ngonga}},
  booktitle    = {{2021 IEEE 15th International Conference on Semantic Computing (ICSC)}},
  pages        = {{241--247}},
  title        = {{{Relicensing Combined Datasets}}},
  doi          = {{10.1109/ICSC50631.2021.00050}},
  year         = {{2021}},
}

@article{29150,
  abstract     = {{Robotics applications process large amounts of data in real time and require compute platforms that provide high performance and energy efficiency. FPGAs are well suited for many of these applications, but there is a reluctance in the robotics community to use hardware acceleration due to increased design complexity and a lack of consistent programming models across the software/hardware boundary. In this article, we present ReconROS, a framework that integrates the widely used robot operating system (ROS) with ReconOS, which features multithreaded programming of hardware and software threads for reconfigurable computers. This unique combination gives ROS 2 developers the flexibility to transparently accelerate parts of their robotics applications in hardware. We elaborate on the architecture and the design flow for ReconROS and report on a set of experiments that underline the feasibility and flexibility of our approach.}},
  author       = {{Lienen, Christian and Platzner, Marco}},
  issn         = {{1936-7406}},
  journal      = {{ACM Transactions on Reconfigurable Technology and Systems}},
  pages        = {{1--20}},
  title        = {{{Design of Distributed Reconfigurable Robotics Systems with ReconROS}}},
  doi          = {{10.1145/3494571}},
  year         = {{2021}},
}

@misc{29151,
  abstract     = {{Automation becomes a vital part in the High-Performance computing system in situational dynamics to take the decisions on the fly. Heterogeneous compute nodes consist of computing resources such as CPU, GPU and FPGA and are the important components of the high-performance computing system that can adapt the automation to achieve the given goal. While implanting automation in the computing resources, management of the resources is one of the essential aspects that need to be taken care of. Tasks are continuously executed on the resources using its unique characteristics. Effective scheduling is essential to make the best use of the characteristics provided by each resource. Scheduling enables the execution of each task by allocating resources so that they take advantage of all the characteristics of the compute resources. Various scheduling heuristics can be used to create effective scheduling, which might require the execution time to schedule the task efficiently. Providing actual execution time is not possible in many cases; hence we can provide the estimations for the actual execution time . The purpose of this master's thesis is to design a predictive model or system that estimates the execution time required to execute tasks using historical execution time data on the heterogeneous compute nodes. In this thesis, regression techniques(SGD Regressor, Passive-Aggressive Regressor, MLP Regressor, and XCSF Regressor) are compared in terms of their prediction accuracy in order to determine which technique produces reliable predictions for the execution time. These estimations must be generated in an online learning environment in which data points arrive in any sequence, one by one, and the regression model must learn from them. After evaluating the regression algorithms, it is seen that the XCSF regressor provides the highest overall prediction accuracy for the supplied data sets. The regression technique's parameters also play a significant role in achieving an acceptable prediction accuracy. As a remark, when using online learning in regression analysis, the accuracy depends upon both the order of sequential data points that are coming to train the model and the parameter configuration for each regression technique.}},
  author       = {{Kashikar, Chinmay}},
  publisher    = {{Paderborn University}},
  title        = {{{A Comparison of Machine Learning Techniques for the On-line Characterization of Tasks Executed on Heterogeneous Compute Nodes}}},
  year         = {{2021}},
}

@book{26984,
  author       = {{Dumitrescu, Roman and Özcan, Leon and Ködding, Patrick and Foullois, Marc and Bernijazov, Ruslan}},
  publisher    = {{Heinz Nixdorf Institut, Universität Paderborn}},
  title        = {{{Künstliche Intelligenz in der Produktentstehung}}},
  year         = {{2021}},
}

@article{26990,
  abstract     = {{Digitalization and sustainability are major challenges for today's manufacturing industry. While digitalization is characterized by the incorporation of digital technologies in the products and services as well as the value creation architectures, sustainability requires them to balance economic, environmental and social issues. In both areas, especially Product Service Systems (PSS) are constantly gaining importance. This results in so called smart PSS that integrate digital technologies as well as sustainable PSS which aim at a positive impact on sustainability. Both two concepts cannot be clearly delimited since smart PSS might be designed for sustainability as well and sustainable PSS might be used with digital technologies. This paper aims to investigate the interrelations. To that, digitalization patterns of products and services are evaluated regarding their sustainable impact. The evaluation is conducted by a survey in research and industry. Furthermore, the design of the underlying value creation architecture is investigated. Here, a methodology is proposed enabling companies to optimize their value creation architecture.}},
  author       = {{Scholtysik, Michel and Reinhold, Jannik and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  keywords     = {{sustainability}},
  location     = {{Gothenburg, Sweden}},
  pages        = {{2871--2880}},
  title        = {{{SUSTAINABILITY THROUGH THE DIGITALIZATION: EXPLORING POTENTIALS AND DESIGNING VALUE CO-CREATION ARCHITECTURES FOR PRODUCT-SERVICE-SYSTEMS}}},
  doi          = {{10.1017/pds.2021.548}},
  volume       = {{1}},
  year         = {{2021}},
}

@article{26998,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Smart Services sind das Resultat zweier Megatrends: Digitalisierung und Servitisierung. Diese digitalen Dienstleistungen erfordern innovative Geschäftsmodelle, deren Umsetzung jedoch häufig eine Anpassung historisch gewachsener Wertschöpfung produzierender Unternehmen voraussetzt. Wir liefern geeignete Geschäftsmodellmuster zur Entwicklung von Geschäftsmodellen für Smart Services und zeigen, wie produzierende Unternehmen darauf aufbauend die Transformation ihrer Wertschöpfung planen können.</jats:p>}},
  author       = {{Reinhold, Jannik and Ködding, Patrick and Scholtysik, Michel and Koldewey, Christian and Dumitrescu, Roman}},
  journal      = {{Zeitschrift für wirtschaftlichen Fabrikbetrieb}},
  pages        = {{337--341}},
  title        = {{{Smart Service-Transformation mit Geschäftsmodellmustern}}},
  doi          = {{10.1515/zwf-2021-0069}},
  year         = {{2021}},
}