@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{KohlFreyerKraemeretal.2023,
  author    = {Kohl, Philipp and Freyer, Nils and Kr{\"a}mer, Yoka and Werth, Henri and Wolf, Steffen and Kraft, Bodo and Meinecke, Matthias and Z{\"u}ndorf, Albert},
  title     = {ALE: a simulation-based active learning evaluation framework for the parameter-driven comparison of query strategies for NLP},
  series = {Deep Learning Theory and Applications},
  booktitle = {Deep Learning Theory and Applications},
  editor    = {Conte, Donatello and Fred, Ana and Gusikhin, Oleg and Sansone, Carlo},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-39058-6 (Print)},
  doi       = {10.1007/978-3-031-39059-3_16},
  pages     = {235 -- 253},
  year      = {2023},
  abstract  = {Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to annotators they annotate next instead of a subsequent or random sample. This method is supposed to save annotation effort while maintaining model performance. However, practitioners face many AL strategies for different tasks and need an empirical basis to choose between them. Surveys categorize AL strategies into taxonomies without performance indications. Presentations of novel AL strategies compare the performance to a small subset of strategies. Our contribution addresses the empirical basis by introducing a reproducible active learning evaluation (ALE) framework for the comparative evaluation of AL strategies in NLP. The framework allows the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can focus on developing new, effective AL strategies and deriving best practices for specific use cases. With best practices, practitioners can lower their annotation costs. We present a case study to illustrate how to use the framework.},
  language  = {en}
}
@techreport{HaegerBongaertsSiegert2023,
  author    = {Haeger, Gerrit and Bongaerts, Johannes and Siegert, Petra},
  title     = {Abschlussbericht Teil II: Eingehende Darstellung Neue biobasierte Lipopeptide aus nachhaltiger Produktion (LipoPep)},
  pages     = {17Seiten},
  year      = {2023},
  language  = {de}
}
@inproceedings{BuesgenKloeserKohletal.2023,
  author    = {B{\"u}sgen, Andr{\´e} and Kl{\"o}ser, Lars and Kohl, Philipp and Schmidts, Oliver and Kraft, Bodo and Z{\"u}ndorf, Albert},
  title     = {From cracked accounts to fake IDs: user profiling on German telegram black market channels},
  series = {Data Management Technologies and Applications},
  booktitle = {Data Management Technologies and Applications},
  editor    = {Cuzzocrea, Alfredo and Gusikhin, Oleg and Hammoudi, Slimane and Quix, Christoph},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-37889-8 (Print)},
  doi       = {10.1007/978-3-031-37890-4_9},
  pages     = {176 -- 202},
  year      = {2023},
  abstract  = {Messenger apps like WhatsApp and Telegram are frequently used for everyday communication, but they can also be utilized as a platform for illegal activity. Telegram allows public groups with up to 200.000 participants. Criminals use these public groups for trading illegal commodities and services, which becomes a concern for law enforcement agencies, who manually monitor suspicious activity in these chat rooms. This research demonstrates how natural language processing (NLP) can assist in analyzing these chat rooms, providing an explorative overview of the domain and facilitating purposeful analyses of user behavior. We provide a publicly available corpus of annotated text messages with entities and relations from four self-proclaimed black market chat rooms. Our pipeline approach aggregates the extracted product attributes from user messages to profiles and uses these with their sold products as features for clustering. The extracted structured information is the foundation for further data exploration, such as identifying the top vendors or fine-granular price analyses. Our evaluation shows that pretrained word vectors perform better for unsupervised clustering than state-of-the-art transformer models, while the latter is still superior for sequence labeling.},
  language  = {en}
}
@article{SchulzeFeyerlPischinger2023,
  author    = {Schulze, Sven and Feyerl, G{\"u}nter and Pischinger, Stefan},
  title     = {Advanced ECMS for hybrid electric heavy-duty trucks with predictive battery discharge and adaptive operating strategy under real driving conditions},
  series = {Energies},
  volume    = {16},
  journal   = {Energies},
  number    = {13},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1996-1073},
  doi       = {10.3390/en16135171},
  pages     = {29 Seiten, Art. Nr.: 5171},
  year      = {2023},
  abstract  = {To fulfil the CO2 emission reduction targets of the European Union (EU), heavy-duty (HD) trucks need to operate 15\% more efficiently by 2025 and 30\% by 2030. Their electrification is necessary as conventional HD trucks are already optimized for the long-haul application. The resulting hybrid electric vehicle (HEV) truck gains most of the fuel saving potential by the recuperation of potential energy and its consecutive utilization. The key to utilizing the full potential of HEV-HD trucks is to maximize the amount of recuperated energy and ensure its intelligent usage while keeping the operating point of the internal combustion engine as efficient as possible. To achieve this goal, an intelligent energy management strategy (EMS) based on ECMS is developed for a parallel HEV-HD truck which uses predictive discharge of the battery and adaptive operating strategy regarding the height profile and the vehicle mass. The presented EMS can reproduce the global optimal operating strategy over long phases and lead to a fuel saving potential of up to 2\% compared with a heuristic strategy. Furthermore, the fuel saving potential is correlated with the investigated boundary conditions to deepen the understanding of the impact of intelligent EMS for HEV-HD trucks.},
  language  = {en}
}
@masterthesis{Tschiersch2023,
  type      = {Bachelor Thesis},
  author    = {Tschiersch, Lina Sofie},
  title     = {Cooking for wellbeing : K{\"u}chensystem f{\"u}r Menschen mit Alzheimer-Demenz},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {97 Seiten},
  year      = {2023},
  abstract  = {Essen zuzubereiten bedeutet f{\"u}r viele Menschen Normalit{\"a}t, es bestimmt Teile ihrer Identit{\"a}t und ist eng verbunden mit Familie und Kultur. Der Beginn der Alzheimererkrankung erschwert diese T{\"a}tigkeit, oft muss sie aus Sicherheitsgr{\"u}nden aufgegeben werden. Kochen als Therapieansatz hat zur Verbesserung der Aktivit{\"a}t und Verringerung von Stress beigetragen. Pila ist ein K{\"u}chensystem, das Kochenthusiasten begleitet und Selbstst{\"a}ndigkeit sowie Partizipation erm{\"o}glicht. Das Kompetenzgef{\"u}hl, die Autonomie und die Verbundenheit zu betreuenden Personen st{\"a}rken das Wohlbefinden. Das System f{\"u}hrt die Nutzerinnen und Nutzer digital durch alle Phasen von der Vorbereitung bis zum Aufr{\"a}umen. Aus den Elementen entsteht ein klar organisierter Arbeitsplatz ohne Ablenkungen und mit eindeutigen Aktionspunkten. Die Funktionen der Kocheinheit sind simplifiziert und bed{\"u}rfnisgerecht angepasst.},
  language  = {de}
}
@masterthesis{Vonderhagen2023,
  type      = {Bachelor Thesis},
  author    = {Vonderhagen, Lisa},
  title     = {KiBix : Fahrradfahren f{\"u}r Kinder - das nachhaltige Kinderfahrrad aus Kunststoff als Abo-Sharing-System},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {151 Seiten},
  year      = {2023},
  abstract  = {Jedes Jahr werden Hunderttausende Fahrradrahmen produziert. 90 \% davon werden in Asien hergestellt und von dort {\"u}ber die ganze Welt versendet. Mehr als 80 \% der Rahmen werden nach der Nutzung wieder nach Asien zur{\"u}ckgeschickt und landen dort auf riesigen Fahrradfriedh{\"o}fen. Das Kinderfahrradkonzept "KiBix" wirkt diesem Problem entgegen, indem es eine Alternative f{\"u}r das regelm{\"a}ßige Kaufen von neuen Kinderfahrr{\"a}dern bietet. Im Fokus stehen der Kinderfahrradrahmen und die Gabel aus Kunststoff, welche im Spritzgussverfahren produziert werden. Das City-Bike ist in ein Abo-Sharing-System mit R{\"a}dern in unterschiedlichen Gr{\"o}ßen eingebettet, welches durch eine monatliche Geb{\"u}hr wie das Eigene genutzt werden kann. Der hohlgespritzte Rahmen erm{\"o}glicht die Integration kleiner Boxen im Inneren, in denen Kinder ihre pers{\"o}nlichen "Sch{\"a}tze" mitnehmen k{\"o}nnen. Somit vereint das Konzept die drei Segmente Material/Produktion, Sharing-System und die Mitnahme des "Schatzes". "KiBix" gibt Kindern in Zeiten der Digitalisierung und der globalen Erw{\"a}rmung die M{\"o}glichkeit, selbstbestimmt und nachhaltig die Welt zu erkunden.},
  language  = {de}
}
@masterthesis{Mok2023,
  type      = {Bachelor Thesis},
  author    = {Mok, Pia Peixia},
  title     = {Flowcean Qi : a gentle Reminder to take a deep breath.},
  publisher = {FH Aachen},
  address   = {Aachen},
  pages     = {84 Seiten},
  year      = {2023},
  abstract  = {Atmen tut jeder, automatisch. Es wird nicht auf die Ausf{\"u}hrung geachtet. Doch was, wenn nur ein wenig Feinschliff an unserer Atmung bereits Großes f{\"u}r unsere Gesundheit bewirkt? Von etlichen unterschiedlichen Studien wurde bezeugt, dass Atmung und Empfinden eins sind. Das pers{\"o}nliche Empfinden ist unser Portal zur Außenwelt. Die Art wie wir auf {\"a}ußerliche Reize reagieren, wie achtsam wir im Tun und Denken sind, spiegelt unsere Innenwelt und k{\"o}rperliches Wohlbefinden wieder. FLOWCEAN QI dient dazu, Stress- und Angstst{\"o}rungen im Alltagsleben f{\"u}r Berufst{\"a}tige mit hohem Stressfaktor zu reduzieren. Vor allem, um das Gesundheitssystem zu entlasten und die Psyche der Menschen gesund wieder aufzubauen. Sind Berufst{\"a}tige viel gelassener, steigen auch Leistung und Produktivit{\"a}t. Es ist immer wichtig, die Kernursache von Problemen zu finden und zu l{\"o}sen. So k{\"o}nnen auch vielerlei andere auf die Psyche zur{\"u}ckzuf{\"u}hrende Probleme der Gesellschaft gel{\"o}st werden. FLOWCEAN QI agiert durch modernste Technologie aktiv mit dem Nutzer. Die KI-Assistenz gestaltet das Lernen der Atemtechniken spaßiger, was wiederum den Lerneffekt verbessert. Der Beamer wird im Innenbereich platziert und der Tracker begleitet einen unterwegs und zeichnet die Datenanalyse auf. F{\"u}r mehr Datenschutz ist das Armband ein reines offline Produkt. F{\"o}rmlich sollte es dem Nutzer nah sein, naturverbunden, vertrauensw{\"u}rdig und beruhigend wirken. FLOWCEAN QI basiert gestalterisch auf eine antike japanische Philosophie namens „Kintsugi". Nach der japanischen Philosophie Kintsugi werden zerbrochene Teegl{\"a}ser wiederzusammengeklebt statt weggeworfen. Die in Teile getrennten Elemente werden glatt und geschmeidig wieder zusammengef{\"u}gt. Sie formen ein neues Ganzes, dass die Sch{\"o}nheit des Originals meist {\"u}bertrifft. Die {\"A}sthetik hinter „Kintsugi" nennt man „Wabi-Sabi". Es bedeutet, die Sch{\"o}nheit im Verg{\"a}nglichen, Alten oder Fehlerhaften zu verstehen. Die Philosophie dahinter wird metaphorisch auf das Design abgebildet und auf unsere Gesundheit {\"u}bertragen. Statt letztere zu ignorieren, schenken wir ihr unsere volle Aufmerksamkeit. Ziel der Produkte ist, uns stets an sie zu erinnern, sodass wir t{\"a}glich an unserem Wohlbefinden arbeiten k{\"o}nnen.},
  language  = {de}
}
@incollection{GohTopcuMadabhushietal.2024,
  author    = {Goh, Kheng Lim and Top{\c{c}}u, Murat and Madabhushi, Gopal S. P. and Staat, Manfred},
  title     = {Collagen fibril reinforcement in connective tissue extracellular matrices},
  series = {Handbook of the extracellular matrix},
  booktitle = {Handbook of the extracellular matrix},
  editor    = {Maia, Fatima Raquel Azevedo and Miguel Oliveira, J. and Reis, Rui L.},
  publisher = {Springer Nature},
  address   = {Cham},
  isbn      = {978-3-031-56362-1 (Print)},
  doi       = {10.1007/978-3-031-56363-8_6},
  pages     = {89 -- 108},
  year      = {2024},
  abstract  = {The connective tissues such as tendons contain an extracellular matrix (ECM) comprising collagen fibrils scattered within the ground substance. These fibrils are instrumental in lending mechanical stability to tissues. Unfortunately, our understanding of how collagen fibrils reinforce the ECM remains limited, with no direct experimental evidence substantiating current theories. Earlier theoretical studies on collagen fibril reinforcement in the ECM have relied predominantly on the assumption of uniform cylindrical fibers, which is inadequate for modelling collagen fibrils, which possessed tapered ends. Recently, Top{\c{c}}u and colleagues published a paper in the International Journal of Solids and Structures, presenting a generalized shear-lag theory for the transfer of elastic stress between the matrix and fibers with tapered ends. This paper is a positive step towards comprehending the mechanics of the ECM and makes a valuable contribution to formulating a complete theory of collagen fibril reinforcement in the ECM.},
  language  = {en}
}
@inproceedings{MohanGrossMenzeletal.2021,
  author    = {Mohan, Nijanthan and Groß, Rolf Fritz and Menzel, Karsten and Theis, Fabian},
  title     = {Opportunities and Challenges in the Implementation of Building Information Modeling for Prefabrication of Heating, Ventilation and Air Conditioning Systems in Small and Medium-Sized Contracting Companies in Germany - A Case Study},
  series = {WIT Transactions on The Built Environment, Vol. 205},
  booktitle = {WIT Transactions on The Built Environment, Vol. 205},
  publisher = {WIT Press},
  address   = {Southampton},
  issn      = {1743-3509},
  doi       = {10.2495/BIM210101},
  pages     = {117 -- 126},
  year      = {2021},
  abstract  = {Even though BIM (Building Information Modelling) is successfully implemented in most of the world, it is still in the early stages in Germany, since the stakeholders are sceptical of its reliability and efficiency. The purpose of this paper is to analyse the opportunities and obstacles to implementing BIM for prefabrication. Among all other advantages of BIM, prefabrication is chosen for this paper because it plays a vital role in creating an impact on the time and cost factors of a construction project. The project stakeholders and participants can explicitly observe the positive impact of prefabrication, which enables the breakthrough of the scepticism factor among the small-scale construction companies. The analysis consists of the development of a process workflow for implementing prefabrication in building construction followed by a practical approach, which was executed with two case studies. It was planned in such a way that, the first case study gives a first-hand experience for the workers at the site on the BIM model so that they can make much use of the created BIM model, which is a better representation compared to the traditional 2D plan. The main aim of the first case study is to create a belief in the implementation of BIM Models, which was succeeded by the execution of offshore prefabrication in the second case study. Based on the case studies, the time analysis was made and it is inferred that the implementation of BIM for prefabrication can reduce construction time, ensures minimal wastes, better accuracy, less problem-solving at the construction site. It was observed that this process requires more planning time, better communication between different disciplines, which was the major obstacle for successful implementation. This paper was carried out from the perspective of small and medium-sized mechanical contracting companies for the private building sector in Germany.},
  language  = {en}
}