@inproceedings{NadimpalliMaierStauferetal., author = {Nadimpalli, Vamsi Krishna and Maier, Robert and Staufer, Susanne and R{\"o}hrl, Simon and Ezer, Timur and Grabinger, Lisa and Hauser, Florian and Mottok, J{\"u}rgen}, title = {EXPERT SURVEYS TO REAL TIME ADAPTATION OF LEARNING PATHS}, series = {ICERI2025 Proceedings}, booktitle = {ICERI2025 Proceedings}, editor = {G{\´o}mez Chova, Luis and Gonz{\´a}lez Mart{\´i}nez, Chelo and Lees, Joanna}, publisher = {IATED}, doi = {10.21125/iceri.2025.1571}, pages = {5677 -- 5687}, abstract = {Learning management systems rely on adaptive algorithms that use learner preferences to personalize the instructional content in form of learning paths. However, these preferences are uncertain in nature, and change over time. The present solutions are either static or purely data-driven missing the dynamic adaption to changes in the preferences and infusion of pedagogical nuances respectively. This paper introduces an extended variant of Nestor, our Bayesian network engine that models personality traits, learning styles, and learning strategies. This extension overlays a lightweight rule-based mechanism whose "secret recipe'' lies in the infusion of expert-derived weights adapting learning paths dynamically whenever a learner selects new material in Moodle. To parameterise these rules, we conducted a structured survey with 12 hand-picked professors and researchers in educational science. Each expert responded to 4 demographic items and 12 item that are distributed across algorithm-overview, scenario-based, and example-based categories, thereby supplying the nuanced weightings that result the personalised recommendations. This hybrid system (Nestor plus the expert-infused rule layer) operated during the winter term of 2025. 18 students completed an end-of-term questionnaire. Although their learning gains were not recorded, the majority of respondents reported positive or neutral experiences with the dynamically adapted learning paths. The {Future work} will compare three engines: (i) the present dynamic, expert-infused rule layer on top of the static Bayesian network, (ii) purely data-driven machine-learning models that neglect expert weighting, and (iii) the original static-adaptation Bayesian network without rules. Analyses of log files, intermediate satisfaction surveys, and pre/post term surveys will clarify whether this on-the-fly adaptation and pedagogical nuance lead to measurable learning benefits.}, language = {en} } @inproceedings{SchafferEzerRoehrletal., author = {Schaffer, Josefa and Ezer, Timur and R{\"o}hrl, Simon and Hauser, Florian and Staufer, Susanne and Nadimpalli, Vamsi Krishna and Grabinger, Lisa and Antoni, Erika and Mottok, J{\"u}rgen}, title = {EYE TRACKING GLASSES IN EDUCATIONAL SETTINGS: GUIDELINES ON DATA QUALITY}, series = {ICERI2025 Proceedings}, booktitle = {ICERI2025 Proceedings}, editor = {G{\´o}mez Chova, Luis and Gonz{\´a}lez Mart{\´i}nez, Chelo and Lees, Joanna}, publisher = {IATED}, doi = {10.21125/iceri.2025.1419}, pages = {5027 -- 5038}, abstract = {Eye movement modeling examples, so-called EMME videos, are a valuable tool in education, helping learners better understand instructional content. Like conventional educational videos, EMME videos combine text, images, and voiceovers. However, they also display the instructor's or teacher's gaze, guiding learners attention to key elements. Although various approaches exist for creating EMME videos, there is currently no standardised guideline for ensuring gaze data quality. Eye tracking technology is essential to capture gaze behaviour, and in educational settings without a fixed computer monitor - such as when using blackboards or conducting live experiments - the usage of mobile eye tracking glasses is beneficial. An accuracy study is conducted using mobile eye tracking glasses to provide empirical guidance for the development of high-quality educational EMME videos and ensure that the instructor's or teacher's gaze is captured with high precision. The study uses the Tobii Pro Glasses 3 and involves a static and a dynamic setup with 34 participants. To gain insight into the effects of visual impairments on accuracy, we also include participants who wear contact lenses. In the static setup, participants are seated at a desk with a headrest and focus on a poster with nine fixation points. In the dynamic setup, participants are walking in a controlled half-circle around the poster while maintaining focus on its centre. Each setup is performed multiple times under varying lighting levels (300 lux, 700 lux) and distances between participant and poster (80 cm, 120 cm, 180 cm). This enables the simulation of diverse educational environments, including the possibility of a teacher's or instructor's movement. The study results will be evaluated regarding lighting conditions, the distance between the person wearing eye tracking glasses and the object, and possible influences of contact lenses. Based on these findings, favourable conditions for creating EMME videos in educational settings are collected, especially when working without a fixed computer monitor. The results address the outlined research gap by providing instructors and teachers with guidelines enabling them to produce high-quality educational EMME videos.}, language = {en} } @incollection{KartZimmer, author = {Kart, Mehmet and Zimmer, Veronika}, title = {Antimuslimische Einstellungen junger Menschen in Deutschland: Erkenntnisse aus einer bundesweiten Befragung}, series = {Symbolische Ordnung und Rassismuskritik}, booktitle = {Symbolische Ordnung und Rassismuskritik}, editor = {Arslan, Emre and Bozay, Kemal}, publisher = {Springer}, address = {Wiesbaden}, isbn = {978-3-658-48145-2}, doi = {10.1007/978-3-658-48146-9_6}, pages = {113 -- 149}, abstract = {In den letzten Jahrzehnten hat die zunehmende Pluralisierung der Gesellschaft zu intensiven Debatten {\"u}ber kulturelle, religi{\"o}se und nationale Identit{\"a}ten gef{\"u}hrt. Studien zeigen eine Zunahme demokratiefeindlicher Einstellungen in der deutschen Gesellschaft. Insbesondere Muslim:innen und Menschen, die als solche wahrgenommen werden, sind von Vorurteilen betroffen, die durch rechtspopulistische Narrative verst{\"a}rkt werden. Dabei wird auch die Bedeutung der symbolischen Macht nach Bourdieu deutlich. Bestehende Hierarchien und Stereotypen f{\"u}hren zu sozialer Ausgrenzung und Diskriminierung von Muslim:innen. Die symbolische Gewalt manifestiert sich in rassistischen Strukturen und islamfeindlichen Demonstrationen. Dieser Beitrag pr{\"a}sentiert Ergebnisse einer Befragung zu antimuslimischen Einstellungen junger Menschen zwischen 16 und 27 Jahren in Deutschland. Die Ergebnisse zeigen, dass antimuslimische Einstellungen durch intensiven Kontakt mit Muslim:innen verringert werden k{\"o}nnen, insbesondere durch interethnische Freundschaften. Auf Basis der Kontakthypothese wird betont, dass freiwillige, gleichberechtigte Begegnungen in einem kooperativen Kontext Vorurteile abbauen k{\"o}nnen. Somit zeigt die Studie die Notwendigkeit auf, interkulturelle Begegnungen und Bildungsmaßnahmen zu f{\"o}rdern, um gegenseitiges Verst{\"a}ndnis zu st{\"a}rken. Zudem wird die Bedeutung von sicheren R{\"a}umen und Empowerment f{\"u}r junge Muslim:innen hervorgehoben, um ihre Partizipation und Selbstwirksamkeit zu f{\"o}rdern.}, language = {de} } @inproceedings{AlhulaibiFrauenschlaegerMottok, author = {Alhulaibi, Ayham and Frauenschl{\"a}ger, Tobias and Mottok, J{\"u}rgen}, title = {Towards Post-Quantum-Ready Automated Certificate Lifecycle Management in Operational Technology}, series = {SECURWARE 2025, The Nineteenth International Conference on Emerging Security Information, Systems and Technologies, 26.-30.10.2025, Barcelona}, booktitle = {SECURWARE 2025, The Nineteenth International Conference on Emerging Security Information, Systems and Technologies, 26.-30.10.2025, Barcelona}, publisher = {IARIA}, isbn = {978-1-68558-306-4}, pages = {112 -- 116}, abstract = {Operational Technology (OT) systems increasingly depend on robust and automated certificate lifecycle management to maintain secure operations across long device lifespans and constrained environments. As quantum-capable adversaries emerge, these systems must also support cryptographic agility and prepare for a seamless transition to Post-Quantum Cryptography (PQC). This work presents a crypto-agile, post-quantum-ready testbed architecture that extends existing standards, such as Enrollment over Secure Transport (EST) and Bootstrapping Remote Secure Key Infrastructure (BRSKI), to support hybrid certificates, hardware-based key storage, and protocol flexibility for device bootstrapping and certificate management. A work-in-progress prototype implementation demonstrates support for both traditional and PQC algorithms across device types. Planned evaluations target performance on constrained devices, PQC readiness, and compatibility with alternative protocols. The system lays a foundation for secure and standards-compliant certificate management in future-proof OT deployments.}, language = {en} } @misc{AdlerFoerstlČechovaetal., author = {Adler, Ina and F{\"o}rstl, Nikolas and Čechov{\´a}, Hana and Nov{\´a}ček, V{\´i}t and S{\"u}ß, Franz and Dendorfer, Sebastian}, title = {Mechanistic analysis of pelvic floor functionality using musculoskeletal simulation}, series = {ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27-31 July 2025, Stockholm}, journal = {ISB 2025 - The XXX Congress of the International Society of Biomechanics, 27-31 July 2025, Stockholm}, doi = {10.35096/othr/pub-8729}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-87294}, pages = {1}, abstract = {There is consensus that knowledge about the fundamentals of the pelvic floor remains incomplete, particularly regarding the sensitivity of individual pelvic floor muscles to posture variations. This study aimed to investigate the effects of variations in pelvic tilt and the point of force application induced by changes in posture on pelvic floor activity using musculoskeletal simulation. A parameter study analysed various loading cases, highlighting the coherent response of individual pelvic floor muscles to loads. Muscle activities and forces were compared across different force application points and pelvic tilt angles. A key finding was identifying peak muscle activity conditions that could help better understand the causes of pelvic floor disorders.}, language = {en} } @unpublished{CenkoWeimannRaptis, author = {Cenko, Egidia and Weimann, Thure Georg and Raptis, Georgios}, title = {Navigating the DiGA Jungle: A Taxonomy and Archetypal Framework of the German Digital Therapeutics Landscape}, doi = {10.64898/2025.12.30.25343225}, pages = {26}, abstract = {Digital therapeutics (DTx) are patient-facing apps designed to support individuals in their daily lives. Therefore, they have thepotential to revolutionize healthcare by empowering and engaging patients to become active players in their own care. Despitethe increasing adoption of DTx in national healthcare systems, research on their design remains limited. The present studyintroduces "DiGATax", a taxonomy designed to categorize and analyze DTx, including perspectives on content, interventiondelivery logic and technology, as well as the patient's interface, consolidating and expanding upon prior taxonomic work.Based on n = 44 applications retrieved from the German DiGA directory that demonstrated positive health outcomes, thetaxonomy is supported by empirical evidence. Additionally, the study contributes by presenting an archetype frameworkof DTx derived from a taxonomy-based cluster analysis. Further analyses offer insights into specific combinations of DTxcharacteristics across archetypes, the user interface as a key factor in their acceptance, and potential links between DTxdesign and health-related and user engagement outcomes. By offering new insights into DTx design, this study contributestowards more organized research and reporting, ultimately paving the way for the development of effective solutions. It alsomarks a further step towards Meta-DTx, which aim to align patient care for multimorbid patients under one umbrella.}, language = {en} } @article{HoessMauerer, author = {H{\"o}ß, Nicole and Mauerer, Wofgang}, title = {Generative KI: Vom technologischen Paradigmenwechsel zur Vision einer neuen {\"A}ra im Straßenverkehr}, series = {Straßenverkehrstechnik}, volume = {6}, journal = {Straßenverkehrstechnik}, number = {4}, publisher = {Kirschbaum Verlag GmbH}, doi = {10.53184/SVT4-2025-2}, pages = {247 -- 252}, abstract = {Generative K{\"u}nstliche Intelligenz (KI) geht bereits mit enormen Effizienzsteigerungen f{\"u}r Dom{\"a}nen einher, die von Kreativit{\"a}t profitieren. Die F{\"a}higkeit, beliebig viele realit{\"a}tsnahe Daten zu synthetisieren, bietet jedoch auch neue Potenziale f{\"u}r Anwendungen, die bisher aufgrund fehlender Datenmengen noch nicht den Sprung in die Praxis {\"u}berwunden haben. Im Straßenverkehr betrifft dies z. B. das autonome Fahren in herausfordernden Situationen. Um neue Anwendungspotenziale zu erschließen, ist es allerdings erforderlich, die grundlegende Funktionsweise der Technologie gepaart mit ihren Chancen und Herausforderungen zu verstehen. Dieser Fachbeitrag dient deshalb als erste Einf{\"u}hrung in die generative KI, indem er einen {\"U}berblick {\"u}ber zentrale Modelle, ihre grundlegenden Ideen und Funktionsweisen gibt. Darauf basierend werden typische Problemarten aufgezeigt, die mit generativer KI neu betrachtet und besser gel{\"o}st werden k{\"o}nnen - allgemein und spezifisch f{\"u}r den Straßenverkehr. Unter gleichzeitiger Betrachtung derzeitiger Limitierungen dient der Beitrag als Entscheidungshilfe f{\"u}r die Selektion passender generativer oder klassischer KI-Verfahren.}, language = {de} } @inproceedings{SchoenbergerTrummerMauerer, author = {Sch{\"o}nberger, Manuel and Trummer, Immanuel and Mauerer, Wolfgang}, title = {Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing}, series = {Proceedings of the ACM on Management of Data}, volume = {3}, booktitle = {Proceedings of the ACM on Management of Data}, number = {4}, publisher = {ACM}, doi = {10.1145/3749171}, pages = {25}, abstract = {Multiple-query optimization (MQO) seeks to reduce redundant work across query batches. While MQO offers opportunities for dramatic performance improvements, the problem is NP-hard, limiting the sizes of problems that can be solved on generic hardware. We propose to leverage specialized hardware solvers for optimization, such as Fujitsu's Digital Annealer (DA), to scale up MQO to problem sizes formerly out of reach. We present a novel incremental processing approach that combines classical computation with DA acceleration. By efficiently partitioning MQO problems into sets of partial problems, and by applying a dynamic search steering strategy that reapplies initially discarded information to incrementally process individual problems, our method overcomes capacity limitations, and scales to extremely large MQO instances (up to νm1000 queries). A thorough and comprehensive empirical evaluation finds our method substantially outperforms existing approaches. Our generalisable framework lays the ground for other database use-cases on quantum-inspired hardware, and bridges towards future quantum accelerators.}, language = {en} } @incollection{Mauerer, author = {Mauerer, Wolfgang}, title = {Quantum Software = Quantum minus Software?}, series = {Dagstuhl Reports : Quantum Software Engineering : Report from Dagsthul Seminar 24512}, volume = {14}, booktitle = {Dagstuhl Reports : Quantum Software Engineering : Report from Dagsthul Seminar 24512}, number = {12}, editor = {Ali, Shaukat and Barzen, Johanna and Delgado, Andrea and M{\"u}ller, Hausi A. and Murillo, Juan Manuel}, publisher = {Dagstuhl Publishing}, doi = {10.4230/DagRep.14.12.63}, url = {http://nbn-resolving.de/urn:nbn:de:0030-drops-230469}, pages = {73 -- 74}, abstract = {The Dagstuhl Seminar 24512 on "Quantum Software Engineering" was held from December 15 to 20, 2024. It brought together 26 participants from industry and academia from 13 different countries, including senior and junior researchers as well as practitioners in the field of Quantum Software Engineering. The aim of the seminar was to advance software engineering methods and tools for the engineering of hybrid quantum systems by promoting personal interaction and open discussion among researchers who are already working in this emerging area of knowledge. The first day of the seminar was devoted to the topic "When software engineering meets quantum mechanics", while the second day focused on "Quantum software engineering and its challenges." During both days, 16 invited presentations were given. The rest of the seminar was organized into three working groups to address the topics "Quantum Software Design, Modelling and Architecturing", "Adaptive Hybrid Quantum Systems", and "Quantum Software Quality Assurance". The seminar was a very fruitful experience for all participants both in terms of scientific outcomes and in terms of the personal relationships that were generated to jointly address future experiences.}, language = {en} } @article{KruegerMauerer, author = {Kr{\"u}ger, Tom and Mauerer, Wolfgang}, title = {Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation}, series = {Quantum}, volume = {9}, journal = {Quantum}, publisher = {Verein zur F{\"o}rderung des Open Access Publizierens in den Quantenwissenschaften}, doi = {10.22331/q-2025-11-06-1903}, pages = {32}, abstract = {The Quantum Approximate Optimisation Algorithm (QAOA) is a widely studied quantum-classical iterative heuristic for combinatorial optimisation. While QAOA targets problems in complexity class NP, the classical optimisation procedure required in every iteration is itself known to be NP-hard. Still, advantage over classical approaches is suspected for certain scenarios, but nature and origin of its computational power are not yet satisfactorily understood. By introducing means of efficiently and accurately approximating the QAOA optimisation landscape from solution space structures, we derive a new algorithmic variant of unit-depth QAOA for two-level Hamiltonians (including all problems in NP): Instead of performing an iterative quantum-classical computation for each input instance, our non-iterative method is based on a quantum circuit that is instance-independent, but problem-specific. It matches or outperforms unit-depth QAOA for key combinatorial problems, despite reduced computational effort. Our approach is based on proving a long-standing conjecture regarding instance-independent structures in QAOA. By ensuring generality, we link existing empirical observations on QAOA parameter clustering to established approaches in theoretical computer science, and provide a sound foundation for understanding the link between structural properties of solution spaces and quantum optimisation.}, language = {de} } @unpublished{KoesterPorkertVolbert, author = {K{\"o}ster, Dominik and Porkert, Florian and Volbert, Klaus}, title = {Multi-Day Scheduling for Electric Vehicle Routing: A Novel Model and Comparison Of Metaheuristics}, doi = {10.48550/arXiv.2512.21346}, pages = {6}, abstract = {The increasing use of electric vehicles (EVs) requires efficient route planning solutions that take into account the limited range of EVs and the associated charging times, as well as the different types of charging stations. In this work, we model and solve an electric vehicle routing problem (EVRP) designed for a cross-platform navigation system for individual transport. The aim is to provide users with an efficient route for their daily appointments and to reduce possible inconveniences caused by charging their EV. Based on these assumptions, we propose a multi-day model in the form of a mixed integer programming (MIP) problem that takes into account the vehicle's battery capacity and the time windows of user's appointments. The model is solved using various established metaheuristics, including tabu search (TS), adaptive large neighborhood search (ALNS), and ant colony optimization (ACO). Furthermore, the performance of the individual approaches is analyzed using generated ensembles to estimate their behavior in reality and is compared with the exact results of the Google OR-Tools solver. 6 pages, 5 figures}, language = {en} } @unpublished{FischerHirschReitmeieretal., author = {Fischer, Johannes and Hirsch, Thomas and Reitmeier, Torsten and Bierl, Rudolf}, title = {Real-time hardware-based processing of high-precision detector signals for surface plasmon resonance spectroscopy}, doi = {10.2139/ssrn.5971170}, pages = {16}, abstract = {Surface plasmon resonance (SPR) is limited by small-signal detectability and drift when subtraction occurs in software after digitization. We introduce an SPR detector that performs on-detector amplification and analog differential readout, eliminating moving parts and software-heavy correction. The hardware-native subtraction boosts the usable ADC range and suppresses illumination and environmental noise. In fixed-angle refractive-index steps (NaCl), the platform resolves Δn_min ≈ 1.8 × 10⁻⁷ RIU compared to 4.6-7.2 × 10⁻⁶ RIU on a commercial comparator and improves small-signal SNR by up to ∼5,000-fold, while remaining competitive at high signal levels. In a model IgG-BSA assay, the detector's low noise floor clarifies early binding and equilibrium transitions. By generating inherently clean raw signals, this hardware-native approach dramatically enhances sensitivity and long-term stability for label-free biosensing and inline process analytics while rendering AI-based or complex post-processing entirely unnecessary. The concept generalizes across platforms and opens a compact route to robust, high-fidelity SPR in complex environments, with a clear path toward multi-wavelength and arrayed detectors for high-throughput chemical monitoring.}, language = {en} } @inproceedings{SchamelAchhammerSchummetal., author = {Schamel, Marco and Achhammer, Anton and Schumm, Leon and Sterner, Michael}, title = {Harvesting Sustainability: Cost-competitiveness of Green Fertilizer Value Chains in Western Africa}, series = {Proceedings of the 2025 IEEE PES/IAS PowerAfrica Conference (PAC 2025): pioneering sustainable energy solutions for Africa's Future, 28.09-02.10 2025, Cairo, Egypt}, booktitle = {Proceedings of the 2025 IEEE PES/IAS PowerAfrica Conference (PAC 2025): pioneering sustainable energy solutions for Africa's Future, 28.09-02.10 2025, Cairo, Egypt}, publisher = {IEEE}, isbn = {979-8-3315-9850-1}, doi = {10.1109/PowerAfrica65840.2025.11289137}, pages = {6}, abstract = {The use of nitrogen fertilizers in Sub-Saharan Africa is low compared to other regions of the world, leading to inadequate crop yields. Furthermore, conventional production from fossil fuel-based ammonia is highly emissions-intensive, making decarbonization urgent. Local production using green hydrogen, sourced solely from solar energy, water, and air, could address both agricultural and climate challenges. This study focuses on Ghana, where nitrogen inputs are among the lowest globally. Using an open-source framework, we evaluate high-resolution production costs for sustainable ammonia and examine two decarbonized pathways: aqueous ammonia and urea. It is found that cost estimates with current assumptions mostly exceed historical prices. However, given their resilience to global market disruptions and expected future cost decreases of the technologies used, these sustainable approaches represent a promising pathway for development in Sub-Saharan Africa.}, language = {en} } @misc{SchrollDecker, author = {Schroll-Decker, Irmgard}, title = {Rainald Manthe: Demokratie fehlt Begegnung. {\"U}ber Alltagsorte des sozialen Zusammen-halts.}, series = {Socialnet Rezensionen}, journal = {Socialnet Rezensionen}, publisher = {Socialnet GmbH}, address = {Bonn}, language = {de} } @misc{SchrollDecker, author = {Schroll-Decker, Irmgard}, title = {Erich Sch{\"u}tzendorf, J{\"u}rgen Datum: Anderland entdecken, erleben, begreifen. Ein Reise-f{\"u}hrer in die Welt von Menschen mit Demenz.}, series = {Socialnet Rezensionen}, journal = {Socialnet Rezensionen}, publisher = {Socialnet GmbH}, address = {Bonn}, language = {de} } @misc{SchrollDecker, author = {Schroll-Decker, Irmgard}, title = {Harm Kuper, Michael Schemmann: Institutionen der Weiterbildung.}, series = {Socialnet Rezensionen}, journal = {Socialnet Rezensionen}, publisher = {Socialnet GmbH}, address = {Bonn}, language = {de} } @misc{SchrollDecker, author = {Schroll-Decker, Irmgard}, title = {Verena Klomann, Angelika Schmidt-Koddenberg (Hrsg.): Studienpionier:innen und Soziale Arbeit: Motive, Herausforderungen und gesellschaftliche Konsequenzen.}, series = {Socialnet Rezensionen}, journal = {Socialnet Rezensionen}, publisher = {Socialnet GmbH}, address = {Bonn}, language = {de} } @misc{SchrollDecker, author = {Schroll-Decker, Irmgard}, title = {Gerd Grampp: Lernort Wohnung. Bef{\"a}higung als Assistenzleistung in der Eingliederungshilfe.}, series = {Socialnet Rezensionen}, journal = {Socialnet Rezensionen}, publisher = {Sozialnet}, address = {Bonn}, language = {de} } @article{GinsterWeigertHeymetal., author = {Ginster, Vinzenz and Weigert, Alexander and Heym, Maximilian Klaus and Beier, Christoph J{\"u}rgen Anton and Schiebahn, Alexander and Galka, Stefan}, title = {Factory simulation of adhesive bonding processes considering pot-life-induced waste}, series = {Journal of Advanced Joining Processes}, volume = {13}, journal = {Journal of Advanced Joining Processes}, publisher = {Elsevier}, issn = {2666-3309}, doi = {10.1016/j.jajp.2026.100375}, pages = {7}, abstract = {The simulation of production systems in the planning phase is an established tool for evaluating system performance under dynamic conditions (Da Silva et al., 2018). When planning a production system that includes time-critical processes such as adhesive bonding, exceeding time constraints (e.g., excessive lead times relative to the adhesive pot-life) can lead to product rejection and scrap. These risks should be analyzed by means of simulation, as it enables the consideration of stochastic effects such as random machine breakdowns, which significantly influence product lead times. This study focuses on the production of adhesively bonded electrolyzer-cells. Due to the cell design, several handling and stacking operations must be carried out between adhesive application and final joining, so that immediate joining is not feasible and pot-life-induced scrap becomes a critical risk factor. We therefore conducted an exploratory investigation that combines experimental pot-life characterization with discrete-event simulation of a planned electrolyzer-cell production system. A two-component epoxy adhesive was characterized using differential scanning calorimetry with kinetic analysis, rotational rheometry, and 90° peel tests on application-representative joints. Based on these tests, an application-specific pot-life was derived and implemented as a time-dependent quality criterion in the discrete-event simulation model. A full-factorial simulation study with varied buffer size and mean time to repair at a station availability of 98 \% was carried out. The results demonstrated a pronounced trade-off between throughput and pot-life-induced waste and identified a buffer capacity of one and short repair times as the most favorable configuration. Extending pot-life due to different processing temperatures substantially reduced scrap, highlighting the benefit of integrating curing kinetics and dynamic simulation in early-stage production system design for time-critical adhesive processes.}, language = {en} } @inproceedings{SadequeAhmmedHossainetal., author = {Sadeque, Md. Golam and Ahmmed, Tanvir and Hossain, Md. Aowal and Rahman, Md. Naimur and Sarker, Md Tanjil and Ramasamy, Gobbi}, title = {A Novel CWT-CNN Framework for Driver Fatigue Detection from EEG Signals}, series = {2025 Multimedia University Engineering Conference (MECON), 21-23 July 2025, Cyberjaya, Malaysia}, booktitle = {2025 Multimedia University Engineering Conference (MECON), 21-23 July 2025, Cyberjaya, Malaysia}, publisher = {IEEE}, isbn = {979-8-3315-5549-8}, doi = {10.1109/MECON67253.2025.11277149}, pages = {6}, abstract = {Fatigued driving has been a significant contributor to traffic accidents globally, posing serious threats to both human life and economic stability. Machine learning techniques based on electroencephalography (EEG) are showing promise for detecting driver fatigue, excelling other physiological modalities in this regard. However, it requires a lot of exertion, demands domain knowledge, and may not generalize effectively across different datasets to manually extract features from EEG signals. Therefore, investigating innovative deep-learning architectures that can effectively extract discriminative characteristics from unprocessed EEG data is necessary. This paper proposes a novel framework for driver fatigue detection from EEG signals using Continuous Wavelet Transform (CWT) and Convolutional Neural Networks (CNN). Rather than depending on hand-crafted feature extraction, we use CWT to convert EEG data into time-frequency spectrum pictures. After concatenating these spectral images from every channel, a CNN is fed to learn discriminative features for driver normal and fatigued states automatically. An average classification accuracy of 98.3\% is obtained by evaluating the proposed CWT-CNN system on a publicly available EEG dataset comprising recordings from twelve subjects. The results obtained indicate that the CWT-CNN framework has enormous potential to create strong driver fatigue detection systems, thereby enhancing road safety.}, language = {en} } @incollection{deOliveiraGualtieriJanzenetal., author = {de Oliveira, L.E.D. and Gualtieri, C. and Janzen, J. G. and Folke, Frederik and Huber, N. P. and Wittmann, F. and Franca, M. J.}, title = {Hydrodynamics of an asymmetrical compound channel with nature-based vegetation distribution}, series = {River Flow 2024}, booktitle = {River Flow 2024}, editor = {Carnacina, Iacopo and Abdellatif, Mawada and Andredaki, Manolia and Cooper, James and Lumbroso, Darren and Ruiz-Villanueva, Virginia}, publisher = {CRC Press}, address = {London}, isbn = {9781003475378}, doi = {10.1201/9781003475378-144}, pages = {994 -- 1000}, abstract = {Natural streams commonly feature a compound channel characterized by main channels and floodplains. During flood events, sediment and particulate organic matter deposition in floodplains promotes vegetation growth, influencing river hydrodynamics and ecosystems. Current hydrodynamics investigations frequently employ arbitrary vegetation characteristics, potentially misrepresenting natural conditions. This study experimentally explores compound-channel flows in which the floodplain is occupied with natural vegetation characteristics sourced from the Upper Rhine, including both young and mature plants. A 30 m long, 5 m wide asymmetrical compound channel with a 0.5 per mille longitudinal slope was used. Two flow conditions, deep and intermediary flow, were tested. Velocity and depth data were collected under simulated flow conditions corresponding to a 15 to 20-year return period. Vegetation accentuated the shear between the floodplain and the main channel, compared to non-vegetated conditions. Furthermore, vegetation effects on water depth were observed downstream the patch until 1.75 times the vegetation patch length.}, language = {en} }