@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}},
}

@article{27045,
  abstract     = {{Due to the lack of established real-world benchmark suites for static taint analyses of Android applications, evaluations of these analyses are often restricted and hard to compare. Even in evaluations that do use real-world apps, details about the ground truth in those apps are rarely documented, which makes it difficult to compare and reproduce the results. To push Android taint analysis research forward, this paper thus recommends criteria for constructing real-world benchmark suites for this specific domain, and presents TaintBench, the first real-world malware benchmark suite with documented taint flows. TaintBench benchmark apps include taint flows with complex structures, and addresses static challenges that are commonly agreed on by the community. Together with the TaintBench suite, we introduce the TaintBench framework, whose goal is to simplify real-world benchmarking of Android taint analyses. First, a usability test shows that the framework improves experts’ performance and perceived usability when documenting and inspecting taint flows. Second, experiments using TaintBench reveal new insights for the taint analysis tools Amandroid and FlowDroid: (i) They are less effective on real-world malware apps than on synthetic benchmark apps. (ii) Predefined lists of sources and sinks heavily impact the tools’ accuracy. (iii) Surprisingly, up-to-date versions of both tools are less accurate than their predecessors.}},
  author       = {{Luo, Linghui and Pauck, Felix and Piskachev, Goran and Benz, Manuel and Pashchenko, Ivan and Mory, Martin and Bodden, Eric and Hermann, Ben and Massacci, Fabio}},
  issn         = {{1382-3256}},
  journal      = {{Empirical Software Engineering}},
  title        = {{{TaintBench: Automatic real-world malware benchmarking of Android taint analyses}}},
  doi          = {{10.1007/s10664-021-10013-5}},
  year         = {{2021}},
}

@inproceedings{27049,
  author       = {{Tissen, Denis and Hillebrand, Michael and Tschirner, Christian}},
  booktitle    = {{Tag des Systems Engineering 2021}},
  location     = {{Online}},
  title        = {{{Von der Idee ins Modell – Virtualisierung von Workshopergebnissen im MBSE}}},
  year         = {{2021}},
}

@misc{27053,
  author       = {{Everling, Leon}},
  title        = {{{Selbststabilisierender Bakery Algorithmus für verteilte Systeme}}},
  year         = {{2021}},
}

@inproceedings{27055,
  author       = {{Lagemann, Benjamin and Seidenberg, Tobias and Jürgenhake, Christoph and Erikstad, Stein Ove and Dumitrescu, Roman}},
  booktitle    = {{SNAME International Conference on Fast Sea Transportation}},
  location     = {{ Rhode Island, USA}},
  title        = {{{System alternatives for modular, zero-emission high-speed ferries}}},
  year         = {{2021}},
}

@inproceedings{27056,
  author       = {{Japs, Sergej and Anacker, Harald and Kaiser, Lydia and Holtmann, Jörg and Dumitrescu, Roman and Kargl, Frank}},
  booktitle    = {{Proceedings of the IEEE}},
  location     = {{Notre Dame, IN, USA}},
  pages        = {{412--414}},
  title        = {{{D-REQs: Determination of security & safety requirements in workshops based on the use of model-based systems engineering}}},
  volume       = {{1}},
  year         = {{2021}},
}

@article{27057,
  author       = {{Mohammad, Ubaidullah and Low, Cheng and Rahman, Ramhuzaini Abd and Johar, Muhammad Akmal and Koh, Ching Theng and Dumitrescu, Roman and Rabe, Martin and Asmar, Laban and Kamaruddin, Susana }},
  journal      = {{Journal of Mechanical Engineering (JMechE) }},
  number       = {{2}},
  pages        = {{129--144}},
  title        = {{{Smart factory reference model for training on Industry 4.0}}},
  doi          = {{https://doi.org/10.21491/jmeche.v16i2.15331}},
  volume       = {{16}},
  year         = {{2021}},
}

@misc{27072,
  author       = {{Adsul, Vaibhav}},
  title        = {{{Peer-to-Peer Matching for Distributed Systems}}},
  year         = {{2021}},
}

@article{27081,
  author       = {{Yee, Jingye  and Low, Cheng Yee and Hashim, Natiara Mohamad  and Hanapiah, Fazah Akhtar  and Soh, Wei Shien and Zakaria, Noor Ayuni Che  and Nemah, Mohammed Najeh and Asmar, Laban  and Rabe, Martin and von Enzberg, Sebastian and Dumitrescu, Roman}},
  journal      = {{International Journal of Integrated Engineering}},
  number       = {{4}},
  pages        = {{180--188}},
  title        = {{{Data-Driven Model for Upper Limb Spasticity Detection}}},
  doi          = {{http://orcid.org/0000-0002-5355-7908}},
  volume       = {{13}},
  year         = {{2021}},
}

@misc{27082,
  author       = {{Wiecher, Carsten and Wolff, Carsten and Anacker, Harald and Dumitrescu, Roman}},
  booktitle    = {{arXiv preprint}},
  title        = {{{Selecting Features for the Next Release in a System of Systems Context}}},
  year         = {{2021}},
}

@inproceedings{27085,
  author       = {{Hobscheidt, Daniela and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  pages        = {{301--306}},
  publisher    = {{Elsevier}},
  title        = {{{Derivation of socio-technical solution patterns for industry 4.0 problem classes}}},
  volume       = {{100}},
  year         = {{2021}},
}

@inproceedings{27086,
  author       = {{Niewöhner, Nadine and Lang, Nadja and Asmar, Laban and Röltgen, Daniel and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  pages        = {{289--294}},
  publisher    = {{Elsevier}},
  title        = {{{Towards an ambidextrous innovation management maturity model}}},
  volume       = {{100}},
  year         = {{2021}},
}

@inproceedings{27087,
  author       = {{Gabriel, Stefan and Niewöhner, Nadine and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  pages        = {{427--432}},
  publisher    = {{Elsevier}},
  title        = {{{Integration of agile practices in the product development process of intelligent technical systems}}},
  volume       = {{100}},
  year         = {{2021}},
}

@inproceedings{27093,
  author       = {{Henkenjohann, Mark and Joppen, Robert and Köchling, Daniel and von Enzberg, Sebastian and Kühn, Arno and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  pages        = {{21--26}},
  publisher    = {{Elsevier}},
  title        = {{{Identification and specification of standard modules in production for a material flow simulation}}},
  volume       = {{99}},
  year         = {{2021}},
}