Refine
Departments, institutes and facilities
- Fachbereich Informatik (38)
- Fachbereich Ingenieurwissenschaften und Kommunikation (21)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (17)
- Fachbereich Wirtschaftswissenschaften (15)
- Institut für Verbraucherinformatik (IVI) (14)
- Institut für Cyber Security & Privacy (ICSP) (13)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (8)
- Fachbereich Sozialpolitik und Soziale Sicherung (5)
- Institute of Visual Computing (IVC) (4)
- Zentrum für Innovation und Entwicklung in der Lehre (ZIEL) (3)
Document Type
- Conference Object (112) (remove)
Year of publication
- 2021 (112) (remove)
Keywords
- Augmented Reality (3)
- Big Data Analysis (2)
- Cognitive robot control (2)
- Explainable robotics (2)
- Ghana (2)
- Institutions (2)
- Learning from experience (2)
- Usable Privacy (2)
- Usable Security (2)
- design (2)
- resources (2)
- AES (1)
- AR design (1)
- AR development (1)
- AR/VR (1)
- Active Eco-Tourism in Emerging Tourism (1)
- Adoption (1)
- Advances in Design Science Research (1)
- Africa (1)
- Air transport (1)
- Applications in Energy Transport (1)
- Appropriation (1)
- Architecture (1)
- Assistive robots (1)
- Authentication features (1)
- Automatic Differentiation (1)
- Bayesian Hierarchical Model (1)
- Benchmarking (1)
- Block cipher (1)
- Branch and cut (1)
- Cache line fingerprinting (1)
- Cognitive robotics (1)
- Complex Systems Modeling and Simulation (1)
- Compliant fingers (1)
- Computational fluid dynamics (1)
- Computing methodologies (1)
- Connected Car (1)
- Consumer Informatics (1)
- Continual robot learning (1)
- Correlative Microscopy (1)
- Cortex-M3 (1)
- Culinary Tourism (1)
- Curriculum (1)
- DC-DC converter (1)
- DPA (1)
- Data Integration (1)
- Data literacy (1)
- Data visualization (1)
- Design (1)
- Design Probe (1)
- Design Recommendations (1)
- Design Theory and Practice (1)
- Differential analysis (1)
- Digital Receipt (1)
- Digital design (1)
- Digitalisierung & Internationalisierung (1)
- Digitalisierungsstrategie (1)
- Domestic Technology (1)
- E-Health (1)
- Eco-Cycling (1)
- Eco-system (1)
- Efficiency (1)
- Employee data protection (1)
- Engaging Experience (1)
- Entrepreneurship (1)
- Explainable Machine Learning (1)
- Fault Detection & Diagnosis (1)
- Feature extraction (1)
- Field Programmable Gate Array (FPGA) (1)
- Flow control (1)
- Food (1)
- Food Practices (1)
- Food Retail (1)
- GDPR (1)
- Generative Models (1)
- Grid-forming converters (1)
- Guidelines (1)
- H-BRS (1)
- HTTP (1)
- Header whitelisting (1)
- High Power Density Systems (1)
- Hochschule Bonn-Rhein-Sieg (1)
- Hospitality entrepreneurial skills (1)
- Human centered computing (1)
- Hyperspectral image (1)
- Inductive Logic Programming (1)
- Integer programming (1)
- Integrated Household Information System (1)
- Integration Platform as a Service (1)
- Interactive Artifacts (1)
- Intermediaries (1)
- Internationalization (1)
- IoT (1)
- Kenya (1)
- Lattice Boltzmann Method (1)
- Learning analytics (1)
- Liberalization (1)
- LoRa (1)
- LoRaWAN (1)
- Low-Power Wide Area Network (LP-WAN) (1)
- MR (1)
- Machine Learning (1)
- Machine-learning (1)
- Measurement (1)
- Medium Voltage (1)
- Memory-Constrained Devices (1)
- Microarchitectural Data Sampling (MDS) (1)
- Microgrid (1)
- Mixed (1)
- Mixed Reality (1)
- Mixed-methods (1)
- Mountain Biking (1)
- Multi-level converters (1)
- Multimodal Microspectroscopy (1)
- Multimodal Mobility (1)
- NISTPQC (1)
- Non-linear systems (1)
- OER (1)
- Object detection (1)
- Open Educational Resources (1)
- PDSTSP (1)
- PHR (1)
- Parallel drone scheduling traveling salesman problem (1)
- Password (1)
- Path Loss (1)
- Personal Health Record (1)
- Post-Quantum Signatures (1)
- Power Supply (1)
- Practice Theory (1)
- Privacy Awareness (1)
- Privacy engineering (1)
- Public Transport (1)
- Pulse Width Modulation (PWM) (1)
- Pytorch (1)
- QoS (1)
- Qualitative Study (1)
- Quality control (1)
- Quality diversity (1)
- Recommender Systems (1)
- Reflectance modeling (1)
- Registration Refinement (1)
- Remote lab (1)
- Repeat Purchase Recommendations (1)
- Risk Perception (1)
- Risk-based Authentication (1)
- Risk-based Authentication (RBA) (1)
- Robot failure diagnosis (1)
- Robot learning (1)
- Robot software (1)
- Robotics (1)
- Robotics competitions (1)
- Robust grasping (1)
- SAML (1)
- SCP (1)
- SIMO (1)
- SOAP (1)
- Scan and Go (1)
- Self-checkout (1)
- Self-service (1)
- Semantic gap (1)
- Separation algorithm (1)
- Shopping Experience (1)
- SiC (1)
- Side channel attack (1)
- Signature Verification (1)
- Silicon Carbide (SiC) (1)
- Slippage detection (1)
- Smart Home (1)
- Soft Switching (1)
- Soft skill (1)
- Software as a Service (1)
- Start-ups (1)
- Strategy (1)
- Streaming (1)
- Sustainability (1)
- Tourism education (1)
- Unidirectional thermoplastic composites (1)
- Urban (1)
- Usable Security and Privacy (1)
- User Interface Design (1)
- User Requirements (1)
- Variational Autoencoder (1)
- Visual Arts (1)
- Visualization design and evaluation methods (1)
- Visualization systems and tools (1)
- Voice Assistants (1)
- Web (1)
- Well-being (1)
- XML Signature (1)
- XML Signature Wrapping (1)
- XR (1)
- ZombieLoad (1)
- advanced applications (1)
- antenna array correlation (1)
- app (1)
- authoring tools (1)
- case study (1)
- channel sounding (1)
- cityplanning (1)
- co-design (1)
- component based (1)
- consumer informatics (1)
- critical consumerism (1)
- cultural diversity (1)
- data literacy (1)
- data science (1)
- data science canvas (1)
- design science research (1)
- digital images (1)
- digitale internationale Kooperation (1)
- e-learning (1)
- emerging markets (1)
- ethics (1)
- evaluation (1)
- higher education (1)
- input-series output-parallel (1)
- instructional supervisor (1)
- interdisciplinary virtual exchange (1)
- largescale parameter (1)
- mMIMO (1)
- mathematical chemistry (1)
- measurements (1)
- modeling of complex systems (1)
- multi robot systems (1)
- multi-disciplinary approach (1)
- network (1)
- neural networks (1)
- observational data and simulations (1)
- performance and training (1)
- practitioners (1)
- property-based testing for robots (1)
- quiz formats (1)
- quizzes (1)
- recommender systems (1)
- security (1)
- simulation-based robot testing (1)
- sustainability (1)
- technology (1)
- transaction costs (1)
- verification and validation of robot action execution (1)
- virtuelle und hybride Mobilität (1)
There is severe clinical vitamin A deficiency (VAD) prevalence among Ghanaians and many African countries. Foodbased diets has been suggested as a more sustainable approach to solving the VAD situation in Africa. In this study, A participatory action research between orange flesh sweet potato farmers, gari processors within central region and academia was adopted to develop gari containing provitamin A beta-carotene. Gari is a major staple for Ghanaians and people in the West African subregion due to its affordability and swelling capacity. It is mainly eaten raw with water, sugar, groundnut and milk as gari-soakings or with hot water to prepare gelatinized food called gari-kai in Ghana or “eba” among Nigerians. However, gari is limited in provitamin A carotenoids. Orange fleshed sweet potato (OFSP) is known to contain large amount of vitamin A precursor. Therefore, addition of OFSP to gari would have the potential to fight the high prevalence rate of vitamin A deficiency amongst less developed regions of Africa. To develop this, different proportions of orange fleshed sweet potatoes (OFSP) was used to substitute cassava mash and fermented spontaneously to produce composite gari - a gritty-crispy ready-to-eat food product. Both the amount of OFSP and the fermentation duration caused significant increases in the β-carotene content of the composite gari. OFSP addition reduced the luminance while roasting made the composite gari yellower when compared with the cake used. Addition of OFSP negatively affected the swelling capacity of the gari although not significant. The taste, texture, flavour and the overall preferences for the composite gari decreased due to the addition of the OFSP but fermentation duration (FD) improved them. The sample with 10% OFSP and FD of 1.81 days was found to produce the optimal gari. One-portion of the optimal gari would contribute to 34.75, 23.2, 23.2, 27, 17 and 16% of vitamin A requirements amongst children, adolescent, adult males, adult females, pregnant women and lactating mothers respectively. The study demonstrated that partial substitution of cassava with OFSP for gari production would have the potential to fight the high prevalence rate of vitamin A deficiency amongst less developed regions of Africa while involvement of farmers and processors prior to the design of research phase enhanced the adoption of intervention strategies.
Cancer is one of the leading causes of death worldwide [183], with lung tumors being the most frequent cause of cancer deaths in men as well as one of the most common cancers diagnosed in woman [40]. As symptoms often arise in advanced stages, an early diagnosis is especially important to ensure the best and earliest possible treatment. In order to achieve this, Computed Tomography (CT) scans are frequently used for tumor detection and diagnosis. We will present examples of publicly available CT image data of lung cancer patients and discuss possible methods to realize an automatic system for automated cancer diagnosis. We will also look at the recent SPIE-AAPM Lung CT Challenge [10] data set in detail and describe possible methods and challenges for image segmentation and classification based on this data set.
The role of tourism entrepreneurship in rural development continues to be a subject of interest and debate among academia and practitioners. Theoretically, it is anticipated that tourism entrepreneurship will lead to livelihood diversification, enhancement and ultimately a revitalization of the rural economy. While tourism is posited as an accessible entrepreneurship pathway, there is a dearth of information regarding rural dwellers’ actual experiences with it, especially within the Ghanaian context. Using a case study approach and qualitative data from Wli; a rural tourism destination in Ghana, this paper delves into the opportunities and concerns associated with tourism entrepreneurship in rural areas. Data was obtained between November and December 2016 from 27 persons who were either tourism enterprise owners or employees. Findings from the study showed that entrepreneurial activities centred on the provision of accommodation, food and beverage, souvenir and guiding services. The nature of the activities enabled easy transfer of existing skills and knowledge. Further, entry into tourism entrepreneurship was perceived to be easy by the majority of study participants. These findings confirm the potential for tourism to be employed in boosting entrepreneurial activities in rural areas. Nevertheless, there were concerns regarding access to credit, institutional support, unhealthy competitions, low incomes, unguaranteed pensions, and seasonality and skewness of demand. These concerns threatened the growth and sustainability of tourism entrepreneurship within the community. From a policy perspective, there is a need for institutional recognition and support for tourism entrepreneurial intentions and activities in rural areas. Practice-wise, credit facilities need to be designed specifically for tourism-related rural enterprises. Further, periodic skills and knowledge augmentation programmes must be initiated to help expand the skill sets for the rural entrepreneurs. Finally, there is a need for the formation of traderelated networks to provide a platform for knowledge and experience sharing among the entrepreneurs.
Die digitale Transformation verändert die internationale Kooperation der Hochschulen massiv. Über die Möglichkeiten der virtuellen Mobilität hinaus entstehen neue Themenfelder, die internationale Lern- und Lehrerlebnisse mit digitaler Unterstützung verändern, ergänzen oder neu ermöglichen. Dazu sind im Bereich der Förderung der Internationalisierung (DAAD, Erasmus+, BMBF u.a.) Projekte und Förderformate entstanden, die Digitalisierung und Internationalisierung kombinieren und die neuen Themenstellungen adressieren, z.B. didaktische Formate, administrative Prozesse (auch im Kontext OZG und DSGVO), virtuelle und hybride Mobilität, internationale Projekt- und Teamformate sowie schlussendlich auch Inhalte, die internationale, interkulturelle und interdisziplinäre Kompetenzen mit digitalen Kompetenzen verbinden. Der vorgeschlagene Workshop soll entsprechende Projekte zusammenbringen und die Themen strukturieren, um einen Überblick der Entwicklungen zu schaffen und somit einen Beitrag zur Definition des Themenfelds „Digitalisierung & Internationalisierung“ zu leisten.
Das Kernanliegen des Datenschutzes ist es, natürliche Personen vor nachteiligen Effekten der Speicherung und Verarbeitung der sie betreffenden Daten zu schützen. Aber viele Personen scheinen gar nicht geschützt werden zu wollen. Im Gegenteil, viele Endanwender willigen “freiwillig“ – bewusst oder unbewusst – in eine umfassende Verarbeitung ihrer personenbezogenen Daten ein. Warum tun Menschen dies? Es werden verschiedene Ursachen diskutiert (beispielsweise in [79]), hierzu gehören Uninformiertheit, mangelnde Sensibilität, das Gefühl der Hilflosigkeit, mangelnde Zahlungsbereitschaft und mangelnde Alternativen. Auch wenn dies in Einzelfällen zutrifft, so gibt es oft sehr wohl datenschutzfreundliche Alternativen. Beispielsweise existiert zu WhatsApp (als Instant Messaging App) die Alternative Threema. Threema gilt als EU-DS-GVO-konform und funktional durchaus mit WhatsApp vergleichbar [62]. Allerdings ist inzwischen die aktuelle Netzwerkgröße ein entscheidendes Auswahlkriterium: Im Januar 2018 hatte Threema 4,5 Millionen Nutzer [172], WhatsApp dagegen 1,5 Milliarden [171]. Dies ist ein Indiz dafür, dass WhatsApp sich quasi zum De-facto-Standard entwickelt hat und es für die einzelne Person nur schwer möglich ist, viele andere “zum Wechsel auf ein anderes Produkt zu bewegen. [. . . ] Bei Diensten mit Nutzerzahlen im Milliardenbereich kann von ’Freiwilligkeit’ nur noch bedingt gesprochen werden.“ [9]
Solving transport network problems can be complicated by non-linear effects. In the particular case of gas transport networks, the most complex non-linear elements are compressors and their drives. They are described by a system of equations, composed of a piecewise linear ‘free’ model for the control logic and a non-linear ‘advanced’ model for calibrated characteristics of the compressor. For all element equations, certain stability criteria must be fulfilled, providing the absence of folds in associated system mapping. In this paper, we consider a transformation (warping) of a system from the space of calibration parameters to the space of transport variables, satisfying these criteria. The algorithm drastically improves stability of the network solver. Numerous tests on realistic networks show that nearly 100% convergence rate of the solver is achieved with this approach.
Target meaning representations for semantic parsing tasks are often based on programming or query languages, such as SQL, and can be formalized by a context-free grammar. Assuming a priori knowledge of the target domain, such grammars can be exploited to enforce syntactical constraints when predicting logical forms. To that end, we assess how syntactical parsers can be integrated into modern encoder-decoder frameworks. Specifically, we implement an attentional SEQ2SEQ model that uses an LR parser to maintain syntactically valid sequences throughout the decoding procedure. Compared to other approaches to grammar-guided decoding that modify the underlying neural network architecture or attempt to derive full parse trees, our approach is conceptually simpler, adds less computational overhead during inference and integrates seamlessly with current SEQ2SEQ frameworks. We present preliminary evaluation results against a recurrent SEQ2SEQ baseline on GEOQUERY and ATIS and demonstrate improved performance while enforcing grammatical constraints.
Photovoltaic (PV) power data are a valuable but as yet under-utilised resource that could be used to characterise global irradiance with unprecedented spatio-temporal resolution. The resulting knowledge of atmospheric conditions can then be fed back into weather models and will ultimately serve to improve forecasts of PV power itself. This provides a data-driven alternative to statistical methods that use post-processing to overcome inconsistencies between ground-based irradiance measurements and the corresponding predictions of regional weather models (see for instance Frank et al., 2018). This work reports first results from an algorithm developed to infer global horizontal irradiance as well as atmospheric optical properties such as aerosol or cloud optical depth from PV power measurements.
In view of the rapid growth of solar power installations worldwide, accurate forecasts of photovoltaic (PV) power generation are becoming increasingly indispensable for the overall stability of the electricity grid. In the context of household energy storage systems, PV power forecasts contribute towards intelligent energy management and control of PV-battery systems, in particular so that self-sufficiency and battery lifetime are maximised. Typical battery control algorithms require day-ahead forecasts of PV power generation, and in most cases a combination of statistical methods and numerical weather prediction (NWP) models are employed. The latter are however often inaccurate, both due to deficiencies in model physics as well as an insufficient description of irradiance variability.