Refine
H-BRS Bibliography
- yes (94)
Departments, institutes and facilities
- Fachbereich Ingenieurwissenschaften und Kommunikation (24)
- Fachbereich Wirtschaftswissenschaften (22)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (19)
- Fachbereich Informatik (17)
- Fachbereich Angewandte Naturwissenschaften (12)
- Fachbereich Sozialpolitik und Soziale Sicherung (12)
- Institut für Cyber Security & Privacy (ICSP) (5)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (5)
- Institut für funktionale Gen-Analytik (IFGA) (4)
- Graduierteninstitut (3)
- Institut für KI und Autonome Systeme (A2S) (3)
- Institut für Sicherheitsforschung (ISF) (3)
- Institut für Verbraucherinformatik (IVI) (3)
- Institute of Visual Computing (IVC) (3)
- Zentrum für Innovation und Entwicklung in der Lehre (ZIEL) (3)
- Institut für Medienentwicklung und -analyse (IMEA) (2)
- Centrum für Entrepreneurship, Innovation und Mittelstand (CENTIM) (1)
- Institut für Detektionstechnologien (IDT) (1)
Document Type
- Article (41)
- Part of a Book (22)
- Conference Object (10)
- Book (monograph, edited volume) (5)
- Bachelor Thesis (3)
- Doctoral Thesis (3)
- Preprint (3)
- Study Thesis (3)
- Working Paper (2)
- Master's Thesis (1)
- Part of Periodical (1)
Year of publication
- 2024 (94) (remove)
Keywords
- Künstliche Intelligenz (2)
- Machine Learning (2)
- AI based translation (1)
- Account Security (1)
- Accounting practices (1)
- Administrative work (1)
- Amylose stationary phases (1)
- Anti-inflammatory effects (1)
- Artificial Intelligence (1)
- Artificial bulk viscosity (1)
- Asylbewerberunterkunft (1)
- Atlantic coast (1)
- Augmented Reality (1)
- Augmented reality en (1)
- Authentication (1)
- Automatische Detektion (1)
- Battery pack configurations (1)
- Bonn (1)
- CAE metadata structures (1)
- COVID-19 pandemic (1)
- Camera selection (1)
- Camera view analysis (1)
- Cancer (1)
- Cell-to-cell parameter variations (1)
- Cellulose stationary phases (1)
- Chiral stationary phases (1)
- Consumer Informatics (1)
- DNA double- strand breaks (1)
- DNA methylation (1)
- Data (1)
- Decision methods (1)
- Decision-making (1)
- Demonstration-based training (1)
- Desinformation (1)
- Deutsch (1)
- Deutschland (1)
- Digital Twin (1)
- Digitization (1)
- Distribution Grid (1)
- Domestic workplace studies (1)
- ER stress (1)
- ERO1α (1)
- Electric Vehicles (1)
- Electrical Energy System (1)
- Empirical Study (1)
- Empirical studies (1)
- Entropy (1)
- Environmental benefits (1)
- Erweiterte Realität <Informatik> de (1)
- Evaluation (1)
- Extended reality (1)
- Fake News (1)
- Financial practices (1)
- Flexible retirement (1)
- Flüchtlingshilfe (1)
- Flüchtlingspolitik (1)
- Forecasting (1)
- Gamification (1)
- Gegenwartsästhetik (1)
- Ghana (1)
- Global horizontal irradiance (1)
- Green IT Strategies (1)
- Green Software (1)
- Grid Analyzer (1)
- Heuristics (1)
- Hexamethylene triperoxide diamine (HMTD) (1)
- High performance liquid chromatography (1)
- Historisches Erzählen (1)
- Household management (1)
- ICT Resource Consumption (1)
- Illegal Wildlife Trade (1)
- Immune escape (1)
- Inhibitor (1)
- Innovation (1)
- Instruction design (1)
- Interaction design en (1)
- Interaktionsdesign de (1)
- Interdisziplinarität (1)
- Klimawandel (1)
- Kulturpoetik (1)
- Lennard-Jones parameters (1)
- Lerntechnik (1)
- Lifelong learning (1)
- Linear optimization (1)
- MLOps Tools (1)
- MLR (1)
- MRT-LBM (1)
- Medienliteraturwissenschaft (1)
- Mixed Reality (1)
- Mixed method evaluation (1)
- Mobility (1)
- Modal Shift (1)
- Multi-camera (1)
- Multiport converter (1)
- NFκB pathway (1)
- NLRP3 inflammasome (1)
- Nature Writing (1)
- Network Analysis (1)
- Neural collision operator (1)
- Neuroscience (1)
- Nonlinear optimization (1)
- Numerical stability (1)
- Old-age pensions (1)
- Online Services (1)
- Optimization (1)
- PDI (1)
- PTR-ToF (1)
- Partial retirement (1)
- Peer-Trainings (1)
- Peotik des Schreibens (1)
- Personal thermal comfort (1)
- Planning methods (1)
- Planning tools (1)
- Power flow control (1)
- Prognosis (1)
- Project based learning (1)
- Psychology (1)
- Public Transport (1)
- Quantitative methods (1)
- Quantitative survey (1)
- RBAR (1)
- Range variability (1)
- Recommender systems (1)
- Renewable energy (1)
- Requirements Engineering (1)
- Risk-Based Account Recovery (1)
- SNPSTR (1)
- Scientific competency development (1)
- Shopping Experience (1)
- Simulation processes (1)
- Skin detection (1)
- Social dialogue (1)
- Social engagement in university (1)
- Social partners (1)
- Social practice theory en (1)
- Spectroscopy (1)
- Steroidal saponin (1)
- Strategic decisions (1)
- Sustainable ICT Practices (1)
- Sustainable IT (1)
- TB: Textbook (1)
- Theorie der sozialen Praxis (1)
- Ungleichheit (1)
- User research (1)
- Vector modulation (1)
- Vermögensbildung (1)
- View selection (1)
- Virtual Reality (1)
- Virtuelle Realität de (1)
- Vitamin A acetate isomers (1)
- WRF-Solar (1)
- West Africa (1)
- Wildlife Forensics (1)
- Wirtschaftliche Instabilität (1)
- Zeitreihenanalyse (1)
- adhesion (1)
- analog/digital signal processing (1)
- assistive robotics (1)
- beaching (1)
- biometrics (1)
- blown film extrusion (1)
- cannabidiol, immunotherapy (1)
- case study methodology (1)
- chain extender cross-linker (1)
- climate adaptation (1)
- climate change (1)
- compost disintegration (1)
- contemporary aesthetics (1)
- cultural poetics (1)
- cytokine-induced killer cells (1)
- data inadequacy (1)
- data management (1)
- diffusion (1)
- digital competence (1)
- digitale Kompetenz (1)
- e-learning course structure (1)
- energy infrastructures (1)
- energy system analyses (1)
- energy system modeling (1)
- evaluation (1)
- fachübergreifende Lehrangebote (1)
- family business (1)
- feature selection (1)
- force field (1)
- frugal innovation (1)
- generative adversarial network (1)
- girl marriages (1)
- health management (1)
- health policy (1)
- historical narration (1)
- hydrogen economies (1)
- hydrogen infrastructures (1)
- immunotherapy (1)
- impact sensitivity (1)
- infrared spectroscopy (1)
- interdisciplinarity (1)
- literary media studies (1)
- local optimization (1)
- long interspersed nuclear element-1 (1)
- machine learning (1)
- metal-oxide-semiconductor gas sensors (1)
- microplastic (1)
- morphology (1)
- multiscale parameterization (1)
- multivariate statistical analysis (1)
- near infrared (1)
- non-linear projection (1)
- objective function (1)
- ontology (1)
- operando Raman spectroscopies (1)
- optical sensor (1)
- peer training (1)
- plastic pollution (1)
- poetics of writing (1)
- poly(butylene adipate-co-terephthalate) (1)
- poly(lactic acid) (1)
- presentation attack detection (PAD) (1)
- pressure sensitive adhesives (1)
- process-induced structure (1)
- reinforcement learning (1)
- rheology (1)
- robot behaviour model (1)
- robot personalisation (1)
- rural entrepreneurship (1)
- safety measures (1)
- semantic technologies (1)
- sensor resilience (1)
- simulation process (1)
- social protection (1)
- substance aging (1)
- sustainability and innovation (1)
- sustainability-oriented innovation (1)
- sustainable business models (1)
- thermo-mechanical properties (1)
- transdermal therapeutic systems (1)
- transdisciplinary teaching (1)
- transient receptor potential vanilloid Type 2 (1)
- triacetone triperoxides (1)
- tungsten oxides (1)
- user modelling (1)
- weighting factors (1)
Queueing Theory
(2024)
Pipeline transport is an efficient method for transporting fluids in energy supply and other technical applications. While natural gas is the classical example, the transport of hydrogen is becoming more and more important; both are transmitted under high pressure in a gaseous state. Also relevant is the transport of carbon dioxide, captured in the places of formation, transferred under high pressure in a liquid or supercritical state and pumped into underground reservoirs for storage. The transport of other fluids is also required in technical applications. Meanwhile, the transport equations for different fluids are essentially the same, and the simulation can be performed using the same methods. In this paper, the effect of control elements such as compressors, regulators and flaptraps on the stability of fluid transport simulations is studied. It is shown that modeling of these elements can lead to instabilities, both in stationary and dynamic simulations. Special regularization methods were developed to overcome these problems. Their functionality also for dynamic simulations is demonstrated for a number of numerical experiments.
Farming communities confronted with climate change adopt formal and informal adaptation strategies to mitigate the effects of climate change. While the environmental and social effects of climate change are well documented, there is still a dearth of literature on girl-child marriage (formal marriage or informal union between a child under the age of 18 and an adult or another child) as a response to the effects of climate change. In this research, we ask if girl-child marriage is promoted as a social protection mechanism first, rather than as simply a response to climate-induced poverty. We use qualitative semi-structured interviews and focus group discussions to explore this question in a rural farming community in Northern Ghana. Our findings reveal that climate change shocks result in poverty and compel farmers to marry off their young daughters. The unmarried girl-child is perceived as an ‘extra mouth to feed’, a liability whose marriage becomes a strategy for protecting the family, the family’s reputation, and the girl child. The emphasis in girl-child marriage is not on the girl-child as an individual but on the family as a group. Hence, what is good for the family is assumed to be in the best interest of the girl-child. We place our analysis at the intersection of climate change, social protection, and the incidence of girl-child marriages. We argue that understanding this link is crucial and can contribute significantly to our knowledge of girl-child marriage as well as our ability to address this in Sub-Saharan Africa.
Projekte des maschinellen Lernens (ML), insbesondere im Bereich der Zeitreihenanalyse, gewinnen heute zunehmend an Bedeutung. Die Bereitstellung solcher Projekte in einer Produktionsumgebung mit dem gleichen Automatisierungsgrad wie bei klassischen Softwareprojekten ist ein komplexes Unterfangen. Die Umsetzung in Produktionsumgebungen erfordert neben klassischen DevOps auch Machine Learning Operation (MLOps) Technologien und Werkzeuge. Ziel dieser Studie ist es, einen umfassenden Überblick über verfügbare MLOps Tools zu bieten und einen spezifischen Techstack für Zeitreihen ML Projekte zu entwickeln. Es werden aktuelle Trends und Werkzeuge im Bereich MLOps durch eine multivokale Literaturrecherche (MLR) untersucht und analysiert. Die Studie identifiziert passende MLOps Werkzeuge und Methoden für die Zeitreihenanalyse und präsentiert eine spezifische Implementierung einer MLOps Pipeline für die Aktienkursprognose des S&P 500. MLOps und DevOps Tools nehmen eine essenzielle Rolle bei der effektiven Konstruktion und Verwaltung von ML Pipelines ein. Bei der Auswahl geeigneter Werkzeuge ist stets eine spezifische Anpassung an die jeweiligen Projektanforderungen erforderlich. Die Bereitstellung einer detaillierten Darstellung der aktuellen MLOps Tool Landschaft erweist sich hierbei als wertvolle Ressource, die es Entwicklern ermöglicht, die Effizienz und Effektivität ihrer ML Projekte zu optimieren.
Migrationspolitik in Deutschland polarisiert derzeit wie kaum ein anderes Thema. Einen zentralen Kritikpunkt aus der menschenrechtlichen Perspektive stellen hierbei fehlende gesetzlich verbindliche und einheitliche Standards in der Unterbringung von geflüchteten Menschen in Deutschland dar. Das Ausbleiben verbindlicher bundesweiter Vorgaben hat weitreichende negative Folgen insbesondere für vulnerable Gruppen unter den geflüchteten Menschen, wie Frauen, Kinder, Senior:innen, chronisch Kranke oder LGBTQ+ Personen.
While humans can effortlessly pick a view from multiple streams, automatically choosing the best view is a challenge. Choosing the best view from multi-camera streams poses a problem regarding which objective metrics should be considered. Existing works on view selection lack consensus about which metrics should be considered to select the best view. The literature on view selection describes diverse possible metrics. And strategies such as information-theoretic, instructional design, or aesthetics-motivated fail to incorporate all approaches. In this work, we postulate a strategy incorporating information-theoretic and instructional design-based objective metrics to select the best view from a set of views. Traditionally, information-theoretic measures have been used to find the goodness of a view, such as in 3D rendering. We adapted a similar measure known as the viewpoint entropy for real-world 2D images. Additionally, we incorporated similarity penalization to get a more accurate measure of the entropy of a view, which is one of the metrics for the best view selection. Since the choice of the best view is domain-dependent, we chose demonstration-based training scenarios as our use case. The limitation of our chosen scenarios is that they do not include collaborative training and solely feature a single trainer. To incorporate instructional design considerations, we included the trainer’s body pose, face, face when instructing, and hands visibility as metrics. To incorporate domain knowledge we included predetermined regions’ visibility as another metric. All of those metrics are taken into account to produce a parameterized view recommendation approach for demonstration-based training. An online study using recorded multi-camera video streams from a simulation environment was used to validate those metrics. Furthermore, the responses from the online study were used to optimize the view recommendation performance with a normalized discounted cumulative gain (NDCG) value of 0.912, which shows good performance with respect to matching user choices.
The Information and Communication Technology (ICT) sector is a significant global industry, and addressing climate change is of critical importance. This paper aims to assess the resources utilized by the ICT sector, the associated negative environmental impacts, and potential mitigation measures. In order to understand these aspects, this study attempts to categorize the resources used by ICT, analyze the amount consumed and the resulting negative impacts, and determine what measures exist to mitigate them. An economic and empirical evaluation shows a negative trend in ICT’s resource consumption, mainly due to increased energy consumption and rising carbon emissions from devices such as smartphones and data centers. The investigated countermeasures focus on Green IT strategies that encompass energy efficiency, carbon awareness, and hardware efficiency principles as outlined by the Green Software Foundation. Special attention is given to reducing the environmental footprint of data center operations and smartphones. This paper concludes that Green IT strategies, although promising in theory, are often not implemented at an industry level.
Pollution with anthropogenic waste, particularly persistent plastic, has now reached every remote corner of the world. The French Atlantic coast, given its extensive coastline, is particularly affected. To gain an overview of current plastic pollution, this study examined a stretch of 250 km along the Silver Coast of France. Sampling was conducted at a total of 14 beach sections, each with five sampling sites in a transect. At each collection site, a square of 0.25 m2 was marked. The top 5 cm of beach sediment was collected and sieved on-site using an analysis sieve (mesh size 1 mm), resulting in a total of approximately 0.8 m3 of sediment, corresponding to a total weight of 1300 kg of examined beach sediment. A total of 1972 plastic particles were extracted and analysed using infrared spectroscopy, corresponding to 1.5 particles kg−1 of beach sediment. Pellets (885 particles), polyethylene as the polymer type (1349 particles), and particles in the size range of microplastics (943 particles) were most frequently found. The significant pollution by pellets suggests that the spread of plastic waste is not primarily attributable to tourism (in February/March 2023). The substantial accumulation of meso- and macro-waste (with 863 and 166 particles) also indicates that research focusing on microplastics should be expanded to include these size categories, as microplastics can develop from them over time.