% % This file was created by the TYPO3 extension % bib % --- Timezone: CEST % Creation date: 2024-05-06 % Creation time: 00-14-09 % --- Number of references % 7 % @Inproceedings { 2023_matzutt_street_problems, title = {Poster: Accountable Processing of Reported Street Problems}, year = {2023}, month = {11}, day = {27}, pages = {3591-3593}, abstract = {Municipalities increasingly depend on citizens to file digital reports about issues such as potholes or illegal trash dumps to improve their response time. However, the responsible authorities may be incentivized to ignore certain reports, e.g., when addressing them inflicts high costs. In this work, we explore the applicability of blockchain technology to hold authorities accountable regarding filed reports. Our initial assessment indicates that our approach can be extended to benefit citizens and authorities in the future.}, keywords = {street problems; accountability; consortium blockchain; privacy}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-matzutt-street-problems.pdf}, publisher = {ACM}, booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS ’23), November 26-30, 2023, Copenhagen, Denmark}, event_place = {Copenhagen, Denmark}, event_date = {November 26-30, 2023}, ISBN = {979-8-4007-0050-7/23/11}, DOI = {10.1145/3576915.3624367}, reviewed = {1}, author = {Matzutt, Roman and Pennekamp, Jan and Wehrle, Klaus} } @Inproceedings { 2023-redefine-mpc-cosimulation, title = {Delay-aware Model Predictive Control for Fast Frequency Control}, journal = {Proceedings of the 14th IEEE International Conference on Smart Grid Communications (SmartGridComm 2023)}, year = {2023}, month = {10}, tags = {redefine}, publisher = {IEEE}, booktitle = {Proceedings of the 14th IEEE International Conference on Smart Grid Communications (SmartGridComm 2023)}, state = {accepted}, reviewed = {1}, author = {Heins, Tobias and Glebke, Ren{\'e} and Stoffers, Mirko and Gurumurthy, Sriram and Heesemann, Jan and Josevski, Martina and Monti, Antonello and Wehrle, Klaus} } @Inproceedings { 2023_bodenbenner_fairsensor, title = {FAIR Sensor Ecosystem: Long-Term (Re-)Usability of FAIR Sensor Data through Contextualization}, year = {2023}, month = {7}, day = {20}, abstract = {The long-term utility and reusability of measurement data from production processes depend on the appropriate contextualization of the measured values. These requirements further mandate that modifications to the context need to be recorded. To be (re-)used at all, the data must be easily findable in the first place, which requires arbitrary filtering and searching routines. Following the FAIR guiding principles, fostering findable, accessible, interoperable and reusable (FAIR) data, in this paper, the FAIR Sensor Ecosystem is proposed, which provides a contextualization middleware based on a unified data metamodel. All information and relations which might change over time are versioned and associated with temporal validity intervals to enable full reconstruction of a system's state at any point in time. A technical validation demonstrates the correctness of the FAIR Sensor Ecosystem, including its contextualization model and filtering techniques. State-of-the-art FAIRness assessment frameworks rate the proposed FAIR Sensor Ecosystem with an average FAIRness of 71\%. The obtained rating can be considered remarkable, as deductions mainly result from the lack of fully appropriate FAIRness metrics and the absence of relevant community standards for the domain of the manufacturing industry.}, keywords = {FAIR Data; Cyber-Physical Systems; Data Management; Data Contextualization; Internet of Production}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-bodenbenner-fair-ecosystem.pdf}, publisher = {IEEE}, booktitle = {Proceedings of the 21th IEEE International Conference on Industrial Informatics (INDIN '23), July 17-20, 2023, Lemgo, Germany}, event_place = {Lemgo, Germany}, event_date = {July 17-20, 2023}, ISBN = {978-1-6654-9313-0}, ISSN = {2378-363X}, DOI = {10.1109/INDIN51400.2023.10218149}, reviewed = {1}, author = {Bodenbenner, Matthias and Pennekamp, Jan and Montavon, Benjamin and Wehrle, Klaus and Schmitt, Robert H.} } @Article { Jakobs_2023_3, title = {Preserving the Royalty-Free Standards Ecosystem}, journal = {European Intellectual Property Review}, year = {2023}, month = {7}, volume = {45}, number = {7}, pages = {371-375}, abstract = {It has long been recognized in Europe and elsewhere that standards-development organizations (SDOs) may adopt policies that require their participants to license patents essential to the SDO’s standards (standards-essential patents or SEPs) to manufacturers of standardized products (“implementers”) on a royalty-free (RF) basis. This requirement contrasts with SDO policies that permit SEP holders to charge implementers monetary patent royalties, sometimes on terms that are specified as “fair, reasonable and nondiscriminatory” (FRAND). As demonstrated by two decades of intensive litigation around the world, FRAND royalties have given rise to intractable disputes regarding the manner in which such royalties should be calculated and adjudicated. In contrast, standards distributed on an RF basis are comparatively free from litigation and the attendant transaction costs. Accordingly, numerous SDOs around the world have adopted RF licensing policies and many widely adopted standards, including Bluetooth, USB, IPv6, HTTP, HTML and XML, are distributed on an RF basis. This note briefly discusses the commercial considerations surrounding RF standards, the relationship between RF standards and open source software (OSS) and the SDO policy mechanisms – including “universal reciprocity” -- that enable RF licensing to succeed in the marketplace.}, ISSN = {0142-0461}, DOI = {10.2139/ssrn.4235647}, reviewed = {1}, author = {Contreras, Jorge and Bekkers, Rudi and Biddle, Brad and Bonadio, Enrico and Carrier, Michael A. and Chao, Bernard and Duan, Charles and Gilbert, Richard and Henkel, Joachim and Hovenkamp, Erik and Husovec, Martin and Jakobs, Kai and Kim, Dong-hyu and Lemley, Mark A. and Love, Brian J. and McDonagh, Luke and Scott Morton, Fiona M. and Schultz, Jason and Simcoe, Timothy and Urban, Jennifer M. and Xiang, Joy Y} } @Incollection { 2023_rueppel_crd-b2.ii, title = {Model-Based Controlling Approaches for Manufacturing Processes}, year = {2023}, month = {2}, day = {8}, pages = {221-246}, abstract = {The main objectives in production technology are quality assurance, cost reduction, and guaranteed process safety and stability. Digital shadows enable a more comprehensive understanding and monitoring of processes on shop floor level. Thus, process information becomes available between decision levels, and the aforementioned criteria regarding quality, cost, or safety can be included in control decisions for production processes. The contextual data for digital shadows typically arises from heterogeneous sources. At shop floor level, the proximity to the process requires usage of available data as well as domain knowledge. Data sources need to be selected, synchronized, and processed. Especially high-frequency data requires algorithms for intelligent distribution and efficient filtering of the main information using real-time devices and in-network computing. Real-time data is enriched by simulations, metadata from product planning, and information across the whole process chain. Well-established analytical and empirical models serve as the base for new hybrid, gray box approaches. These models are then applied to optimize production process control by maximizing the productivity under given quality and safety constraints. To store and reuse the developed models, ontologies are developed and a data lake infrastructure is utilized and constantly enlarged laying the basis for a World Wide Lab (WWL). Finally, closing the control loop requires efficient quality assessment, immediately after the process and directly on the machine. This chapter addresses works in a connected job shop to acquire data, identify and optimize models, and automate systems and their deployment in the Internet of Production (IoP).}, keywords = {Process control; Model-based control; Data aggregation; Model identification; Model optimization}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-rueppel-iop-b2.i.pdf}, publisher = {Springer}, series = {Interdisciplinary Excellence Accelerator Series}, booktitle = {Internet of Production: Fundamentals, Applications and Proceedings}, ISBN = {978-3-031-44496-8}, DOI = {10.1007/978-3-031-44497-5_7}, reviewed = {1}, author = {R{\"u}ppel, Adrian Karl and Ay, Muzaffer and Biernat, Benedikt and Kunze, Ike and Landwehr, Markus and Mann, Samuel and Pennekamp, Jan and Rabe, Pascal and Sanders, Mark P. and Scheurenberg, Dominik and Schiller, Sven and Xi, Tiandong and Abel, Dirk and Bergs, Thomas and Brecher, Christian and Reisgen, Uwe and Schmitt, Robert H. and Wehrle, Klaus} } @Incollection { 2023_pennekamp_crd-a.i, title = {Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead}, year = {2023}, month = {2}, day = {8}, pages = {35-60}, abstract = {The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today’s production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today’s production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.}, keywords = {Cyber-physical production systems; Data streams; Industrial data processing; Industrial network security; Industrial data security; Secure industrial collaboration}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-pennekamp-iop-a.i.pdf}, publisher = {Springer}, series = {Interdisciplinary Excellence Accelerator Series}, booktitle = {Internet of Production: Fundamentals, Applications and Proceedings}, ISBN = {978-3-031-44496-8}, DOI = {10.1007/978-3-031-44497-5_2}, reviewed = {1}, author = {Pennekamp, Jan and Belova, Anastasiia and Bergs, Thomas and Bodenbenner, Matthias and B{\"u}hrig-Polaczek, Andreas and Dahlmanns, Markus and Kunze, Ike and Kr{\"o}ger, Moritz and Geisler, Sandra and Henze, Martin and L{\"u}tticke, Daniel and Montavon, Benjamin and Niemietz, Philipp and Ortjohann, Lucia and Rudack, Maximilian and Schmitt, Robert H. and Vroomen, Uwe and Wehrle, Klaus and Zeng, Michael} } @Incollection { 2023_klugewilkes_crd-b2.iv, title = {Modular Control and Services to Operate Line-less Mobile Assembly Systems}, year = {2023}, month = {2}, day = {8}, pages = {303-328}, abstract = {The increasing product variability and lack of skilled workers demand for autonomous, flexible production. Since assembly is considered a main cost driver and accounts for a major part of production time, research focuses on new technologies in assembly. The paradigm of Line-less Mobile Assembly Systems (LMAS) provides a solution for the future of assembly by mobilizing all resources. Thus, dynamic product routes through spatiotemporally configured assembly stations on a shop floor free of fixed obstacles are enabled. In this chapter, we present research focal points on different levels of LMAS, starting with the macroscopic level of formation planning, followed by the mesoscopic level of mobile robot control and multipurpose input devices and the microscopic level of services, such as interpreting autonomous decisions and in-network computing. We provide cross-level data and knowledge transfer through a novel ontology-based knowledge management. Overall, our work contributes to future safe and predictable human-robot collaboration in dynamic LMAS stations based on accurate online formation and motion planning of mobile robots, novel human-machine interfaces and networking technologies, as well as trustworthy AI-based decisions.}, keywords = {Lineless mobile assembly systems (LMAS); Formation planning; Online motion planning; In-network computing; Interpretable AI; Human-machine collaboration; Ontology-based knowledge management}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-klugewilkes-iop-b2.iv.pdf}, publisher = {Springer}, series = {Interdisciplinary Excellence Accelerator Series}, booktitle = {Internet of Production: Fundamentals, Applications and Proceedings}, ISBN = {978-3-031-44496-8}, DOI = {10.1007/978-3-031-44497-5_13}, reviewed = {1}, author = {Kluge-Wilkes, Aline and Baier, Ralph and Gossen, Daniel and Kunze, Ike and M{\"u}ller, Aleksandra and Shahidi, Amir and Wolfschl{\"a}ger, Dominik and Brecher, Christian and Corves, Burkhard and H{\"u}sing, Mathias and Nitsch, Verena and Schmitt, Robert H. and Wehrle, Klaus} }