Refine
Year of publication
Document Type
- Article (54)
- Conference Proceeding (29)
- Master's Thesis (14)
- Working Paper (12)
- Report (11)
- Bachelor Thesis (8)
- Part of a Book (3)
- Study Thesis (3)
- Preprint (2)
- Book (1)
Language
- English (138) (remove)
Has Fulltext
- yes (138) (remove)
Keywords
- 1D-CNN (1)
- 2 D environment Laser data (1)
- 3D Extended Object Tracking (1)
- 3D shape tracking (1)
- Abschätzung (1)
- Accelerometer (1)
- Additive manufacturing (1)
- Agile administration (1)
- Alpine area (1)
- Alternative Energy Production (1)
- Analog-Digital-Umsetzer (1)
- Analog-to-digital-Converter ; Spice Simulation ; Analog integrated circuit design ; (1)
- Antidumping (1)
- Arbeitsablauf (1)
- Arrival and departure (1)
- Artificial Intelligence (1)
- Atom interferometer (1)
- Atom interferometry (1)
- Auftragsabwicklung (1)
- Automatic sleep assessment (1)
- Automotive (1)
- Autonomous Mobile Indoor Robot (1)
- BRIC (1)
- Ballistocardiography (2)
- Bangkok Metro (M.R.T.) (1)
- Bangkok Transit System (BTS) (1)
- Bayesian neural network (1)
- Bernstein polynomial (3)
- Biomedical Signal Capturing (1)
- Boids Flocking Algorithm (1)
- Bose-Einstein condensate (2)
- Botswana (2)
- Buddhism (1)
- Building with earth (1)
- Bus Rapid Transit (1)
- COVID-19 financial crisis (1)
- Calibration procedure (1)
- Capacity (1)
- Capital project performance (1)
- Car-free mobility (1)
- Cardiac activity (1)
- Cauchon algorithm (2)
- Cauchon diagram (1)
- Cauchon matrix (1)
- Central bank (1)
- Chance (1)
- Chance Management (1)
- Chancenmanagement (1)
- Channel capacity (1)
- Channel estimation (2)
- Checkerboard ordering (3)
- China (1)
- Circular economy (1)
- City resilience (1)
- Client Management System ; Haaland Internet Productions ; Client Relationship Management ; workflow (1)
- Climate change (2)
- Climate communication (1)
- Climate crisis (1)
- Climate policies and strategies (1)
- Climate resilience (1)
- Co-Patenting (1)
- Code-based cryptography (1)
- Code-based cryptosystem (1)
- Codierung (1)
- Cold atoms (1)
- Collaboration (1)
- Collision avoidance (1)
- Complex interval (2)
- Complex polynomial (2)
- Compound matrices (1)
- Compressed earth (1)
- Computational linguistics (1)
- Computer vision (1)
- Concatenated codes (1)
- Conditionally positive semidefinite matrix (1)
- Cones of rank k (1)
- Construction industry (1)
- Contactless measurement (1)
- Contactless technologies (1)
- Cooperation (1)
- Cooperation Network (1)
- Cooperatives (1)
- Corporate Development (1)
- Corporate Responsibility (1)
- Corporate Social Responsibility (1)
- Credit constraints (1)
- Crossover frequency (1)
- Crowdsourcing (1)
- Customer Acquisition (1)
- Cyclic sign variation (1)
- Data (1)
- Data analytics (2)
- Data cooperatives (1)
- Data governance (1)
- Data retention time (1)
- Data sharing and exchange (1)
- Data sovereignty (2)
- Data stewardship (1)
- Decarbonisation (1)
- Decoding attack (1)
- Deep Learning (1)
- Deep Transformation Model (1)
- Deep learning (5)
- Defect detection (1)
- Deflation (1)
- Demolition wastes (1)
- Design (1)
- Digatalization (1)
- Digital age (1)
- Digital commons (1)
- Digital platforms (1)
- Digital transformation (3)
- Digitally re-programmable space (1)
- Digitization (1)
- Distributional regression (1)
- Diversification (1)
- Document image processing (1)
- Downsampling (1)
- Driver Assistance Systems (1)
- Drowsiness (1)
- ECG (1)
- EPQR-S (1)
- EU Regulations (1)
- Earthquake resonse spectra (1)
- Ecological and Social Sustainability (1)
- Elliptic Cylinder (1)
- Elliptic curve cryptography (1)
- Elliptic curve point multiplication (2)
- Emerging Markets (1)
- Enclosure of the range (2)
- Entrepreneurial skills (1)
- Entrepreneurial culture (1)
- Entrepreneurial thinking (1)
- Entrepreneurship (1)
- Entrepreneurship education (1)
- Environmental perception (1)
- Equivalence principle (1)
- Equivalence principle test (1)
- Erkennung (1)
- Error correction coding (1)
- Ethiopia (1)
- Ethnologie (1)
- Euro method (2)
- Extended object tracking (1)
- Exterior products (1)
- FACS (1)
- Facial Action Coding System (1)
- Familie (1)
- Federated digital platform (1)
- Feldforschung (1)
- Fieldwork (1)
- Financial frictions (1)
- Fourier-Chebyshev double series (1)
- Freistellungssemesterbericht (8)
- Functional materials (1)
- GPU (1)
- GRAS method (2)
- Gaussian integers (3)
- Gaussian inverse Wishart PHD Filter (1)
- Gaussian mixture (1)
- Generalized concatenated codes (1)
- Generative modeling (1)
- Geography, Planning and Development (1)
- Geotechnical Earthquake Engineering (1)
- Governance (1)
- Gravity equation (1)
- Ground detection (1)
- HCK (1)
- Handwriting recognition (1)
- Hardware Certification Kit (1)
- Health monitoring (1)
- Health monitoring systems (1)
- Heart rate (1)
- Heart rate variability (HRV) (1)
- Heat islands (1)
- Home health systems (1)
- Hurwitz matrix (1)
- I3M (1)
- Image novelty detection (1)
- Implementation (1)
- Industry 4.0 (1)
- Infinitely divisible matrix (1)
- Inflation (1)
- Information Security Management (1)
- Information theory (1)
- Information-set decoding (1)
- Innovation (3)
- International Trade (1)
- Internet of Things (2)
- Internet of things (1)
- Interoperability (1)
- Interpretability (1)
- Interval matrix (2)
- Interval property (3)
- Inverse M-matrix (1)
- IoT (1)
- Key Performance Indicators (1)
- Knowledge Management (1)
- Kulturanthropologie (1)
- Kundenmanagement (1)
- LCA (1)
- Lane Association (1)
- Laser sensor (1)
- Laser-Sensor (1)
- Laserimpuls (1)
- Lasermesstechnik (1)
- Learning (artificial intelligence) (1)
- Learning to cluster (1)
- LiDAR (1)
- Lidar (1)
- Life Cycle Assessment (1)
- Life cycle assessment (1)
- Likelihood based partitioning (1)
- Literature Review (1)
- Low-carbon construction (1)
- MNE (1)
- MSP Botswana (1)
- MTP (1)
- Machine Learning (3)
- Machine learning (1)
- Maritime systems (1)
- Market Entry (1)
- Marketing (1)
- Markov chain monte carlo (1)
- Mass Rapid Transit (MRT) (1)
- Matrix interval (2)
- Maun Science Park (5)
- McEliece cryptosystem (3)
- Mean-shift (1)
- Metal laser sintering (1)
- Methodology (1)
- Microgravity (1)
- Mimik (1)
- Mirror (1)
- Mobile Communication (1)
- Mobile robot (1)
- Mobility (1)
- Mont-gomery modular reduction (1)
- Montgomery modular reduction (1)
- Multi-camera (1)
- Multiple Extended Object Tracking (1)
- Multivariate complex polynomial (1)
- Multivariate complex rational function (1)
- Multivariate rational function (1)
- Mund-Kiefer-Gesichtsbereich (1)
- Myanmar (1)
- NLP (1)
- National Accounts (1)
- Navigation (1)
- Navigieren (1)
- Network (1)
- Neural network (1)
- Neural networks (1)
- Niederreiter cryptosystem (1)
- Nitinol (1)
- Non-survey techniques (2)
- Non-tariff barriers (1)
- Non-volatile NAND flash (1)
- Non-volatile memory (1)
- Nonlinear model predictive control (1)
- Nonvolatile NAND flash (1)
- Normalizing Flow (1)
- Objective and subjective sleep measurement (1)
- Objekterkennung (1)
- Obstructive sleep apnea (1)
- Open data (1)
- Open digital federation platform (1)
- Opportunity (1)
- Opportunity Management (1)
- PHD filter (1)
- PI control (1)
- PID control (1)
- Patent Analysis (1)
- Pedestrian safety system (1)
- Perceptual grouping (1)
- Personality trait (1)
- Physik (1)
- Physiognomik (1)
- Physiological signals (1)
- Platform (1)
- Portable monitor (1)
- Power and energy (1)
- Price level changes (1)
- Probabilistic forecasting (1)
- Probabilistic modeling (1)
- Probability (1)
- Probability of Exploitation (1)
- Problemlösen (1)
- Processor (1)
- Product Development (1)
- Productivity (1)
- Program/erase cycles (1)
- Projektcontrolling (1)
- Protocols (1)
- Public engagement (1)
- Public transport (1)
- Public-key cryptography (4)
- Quantum gravity (1)
- Quasi-stable polynomial (1)
- Quick changing actuator (1)
- R-function (1)
- REGULECT (1)
- Radar (1)
- Rammed earth (1)
- Range enclosure (1)
- Rank (1)
- Read reference adjustment (1)
- Real-time (1)
- Recurrent neural network (1)
- Recycled materials (1)
- Regression (1)
- Remediation Strategies (1)
- Remote sensing (1)
- Renewable Energies (1)
- Requirements Engineering (2)
- Resource-constrained systems (1)
- Respiration rate (1)
- Restricted error values (1)
- Revised eysenck personality questionnaire (1)
- Risikomanagement (1)
- Risk Management (1)
- Roboter (1)
- Runtime Reduction (1)
- SME (1)
- SPICE <Programm> (1)
- Sample-based nonlinear model predictive control (1)
- Sampling based partitioning (1)
- Sanctions (1)
- Scoring Systems (1)
- Selective laser melting (1)
- Sensors (1)
- Shape Tracking (1)
- Shape memory alloys (1)
- Sign regular matrix (2)
- Sign variation (1)
- Sign-regular matrices (1)
- Sign-regular matrix (1)
- Site effect (1)
- Sleep (1)
- Sleep Apnea (1)
- Sleep diary (1)
- Sleep measurements (1)
- Sleep monitoring (3)
- Sleep monitoring systems (1)
- Sleep scoring (1)
- Sleep stages (1)
- Sleep study (1)
- Smart Building (1)
- Smart City (1)
- Smart Farming (1)
- Smart Home (1)
- Smart materials (1)
- Smartwatch (1)
- Smoke detector (1)
- Social Network Analysis (1)
- Soft Soil Layer (1)
- Space physics (1)
- Space technology (1)
- Spatial modulation (1)
- Speaker clustering (1)
- Speaker recognition (1)
- Speech & image clustering (1)
- Spiritual tourism (1)
- Spline extension model (1)
- Sstainability (1)
- Stability analysis (1)
- Stable polynomial (1)
- Stakeholder (1)
- Standardisierung (1)
- State export credit guarantees (1)
- Statistics (1)
- Stereo-matching (1)
- Still Image Class (1)
- Stochastic system dynamics (1)
- Strategic Management (1)
- Strategisches Management (1)
- Stress (1)
- Structured Digital Approach (1)
- Sustainability (3)
- Sustainable construction (2)
- Sustainable development (3)
- Sustainable infrastructure (1)
- Sustainable technologies (1)
- Tall building structures (1)
- Target Discrimination (1)
- Technology acceptance (1)
- Text Mining (1)
- Thermal shape memory alloys (1)
- Threshold calibration (1)
- Totally nonnegative matrix (3)
- Totally positive matrix (1)
- Tourism (2)
- Trade protection (1)
- Transformation models (2)
- Transistortechnologie (1)
- Tuning rule (1)
- USB (1)
- Un-certainty (1)
- Uncertainty Management (1)
- Uncertainty quantification and robustness (1)
- Unsicherheit (1)
- Updating supply and use tables (2)
- Urban adaptation to global climate change (1)
- Urban planning (1)
- Urbanization (1)
- Value chain (1)
- Value networks (1)
- Variational inference (1)
- Vertical Farming (1)
- Vulnerability Prioritization (1)
- WTO (1)
- Water management (1)
- Wavelet signal processing (1)
- Wearables (1)
- Web Services (1)
- Wissensmanagement (1)
- chat system (1)
- concatenated codes (1)
- distance measurement (1)
- facial expression recognition ; action unit recognition (1)
- istant messaging system (1)
- low-level feature extraction (1)
- maximum distance separable codes (1)
- support vector machines (1)
- Überwachungsradar (1)
Institute
- Fakultät Architektur und Gestaltung (2)
- Fakultät Bauingenieurwesen (16)
- Fakultät Elektrotechnik und Informationstechnik (6)
- Fakultät Informatik (12)
- Fakultät Maschinenbau (6)
- Fakultät Wirtschafts-, Kultur- und Rechtswissenschaften (12)
- Institut für Angewandte Forschung - IAF (18)
- Institut für Optische Systeme - IOS (10)
- Institut für Strategische Innovation und Technologiemanagement - IST (2)
- Institut für Systemdynamik - ISD (13)
Research Report
(2024)
AbstractSanctions encompass a wide set of policy instruments restricting cross‐border economic activities. In this paper, we study how different types of sanctions affect the export behavior of firms to the targeted countries. We combine Danish register data, including information on firm‐destination‐specific exports, with information on sanctions imposed by Denmark from the Global Sanctions Database. Our data allow us to study firms' export behavior in 62 sanctioned countries, amounting to a total of 453 country‐years with sanctions over the period 2000–2015. Methodologically, we apply a two‐stage estimation strategy to properly account for multilateral resistance terms. We find that, on average, sanctions lead to a significant reduction in firms' destination‐specific exports and a significant increase in firms' probability to exit the destination. Next, we study heterogeneity in the effects of sanctions across (i) sanction types and sanction packages, (ii) the objectives of sanctions, and (iii) countries subject to sanctions. Results confirm that the effects of sanctions on firms' export behavior vary considerably across these three dimensions.
Black-box variational inference (BBVI) is a technique to approximate the posterior of Bayesian models by optimization. Similar to MCMC, the user only needs to specify the model; then, the inference procedure is done automatically. In contrast to MCMC, BBVI scales to many observations, is faster for some applications, and can take advantage of highly optimized deep learning frameworks since it can be formulated as a minimization task. In the case of complex posteriors, however, other state-of-the-art BBVI approaches often yield unsatisfactory posterior approximations. This paper presents Bernstein flow variational inference (BF-VI), a robust and easy-to-use method flexible enough to approximate complex multivariate posteriors. BF-VI combines ideas from normalizing flows and Bernstein polynomial-based transformation models. In benchmark experiments, we compare BF-VI solutions with exact posteriors, MCMC solutions, and state-of-the-art BBVI methods, including normalizing flow-based BBVI. We show for low-dimensional models that BF-VI accurately approximates the true posterior; in higher-dimensional models, BF-VI compares favorably against other BBVI methods. Further, using BF-VI, we develop a Bayesian model for the semi-structured melanoma challenge data, combining a CNN model part for image data with an interpretable model part for tabular data, and demonstrate, for the first time, the use of BBVI in semi-structured models.
Sleep is essential to physical and mental health. However, the traditional approach to sleep analysis—polysomnography (PSG)—is intrusive and expensive. Therefore, there is great interest in the development of non-contact, non-invasive, and non-intrusive sleep monitoring systems and technologies that can reliably and accurately measure cardiorespiratory parameters with minimal impact on the patient. This has led to the development of other relevant approaches, which are characterised, for example, by the fact that they allow greater freedom of movement and do not require direct contact with the body, i.e., they are non-contact. This systematic review discusses the relevant methods and technologies for non-contact monitoring of cardiorespiratory activity during sleep. Taking into account the current state of the art in non-intrusive technologies, we can identify the methods of non-intrusive monitoring of cardiac and respiratory activity, the technologies and types of sensors used, and the possible physiological parameters available for analysis. To do this, we conducted a literature review and summarised current research on the use of non-contact technologies for non-intrusive monitoring of cardiac and respiratory activity. The inclusion and exclusion criteria for the selection of publications were established prior to the start of the search. Publications were assessed using one main question and several specific questions. We obtained 3774 unique articles from four literature databases (Web of Science, IEEE Xplore, PubMed, and Scopus) and checked them for relevance, resulting in 54 articles that were analysed in a structured way using terminology. The result was 15 different types of sensors and devices (e.g., radar, temperature sensors, motion sensors, cameras) that can be installed in hospital wards and departments or in the environment. The ability to detect heart rate, respiratory rate, and sleep disorders such as apnoea was among the characteristics examined to investigate the overall effectiveness of the systems and technologies considered for cardiorespiratory monitoring. In addition, the advantages and disadvantages of the considered systems and technologies were identified by answering the identified research questions. The results obtained allow us to determine the current trends and the vector of development of medical technologies in sleep medicine for future researchers and research.
Increasing demand for sustainable, resilient, and low-carbon construction materials has highlighted the potential of Compacted Mineral Mixtures (CMMs), which are formulated from various soil types (sand, silt, clay) and recycled mineral waste. This paper presents a comprehensive inter- and transdisciplinary research concept that aims to industrialise and scale up the adoption of CMM-based construction materials and methods, thereby accelerating the construction industry’s systemic transition towards carbon neutrality. By drawing upon the latest advances in soil mechanics, rheology, and automation, we propose the development of a robust material properties database to inform the design and application of CMM-based materials, taking into account their complex, time-dependent behaviour. Advanced soil mechanical tests would be utilised to ensure optimal performance under various loading and ageing conditions. This research has also recognised the importance of context-specific strategies for CMM adoption. We have explored the implications and limitations of implementing the proposed framework in developing countries, particularly where resources may be constrained. We aim to shed light on socio-economic and regulatory aspects that could influence the adoption of these sustainable construction methods. The proposed concept explores how the automated production of CMM-based wall elements can become a fast, competitive, emission-free, and recyclable alternative to traditional masonry and concrete construction techniques. We advocate for the integration of open-source digital platform technologies to enhance data accessibility, processing, and knowledge acquisition; to boost confidence in CMM-based technologies; and to catalyse their widespread adoption. We believe that the transformative potential of this research necessitates a blend of basic and applied investigation using a comprehensive, holistic, and transfer-oriented methodology. Thus, this paper serves to highlight the viability and multiple benefits of CMMs in construction, emphasising their pivotal role in advancing sustainable development and resilience in the built environment.
Digital federated platforms and data cooperatives for secure, trusted and sovereign data exchange will play a central role in the construction industry of the future. With the help of platforms, cooperatives and their novel value creation, the digital transformation and the degree of organization of the construction value chain can be taken to a new level of collaboration. The goal of this research project was to develop an experimental prototype for a federated innovation data platform along with a suitable exemplary use case. The prototype is to serve the construction industry as a demonstrator for further developments and form the basis for an innovation platform. It exemplifies how an overall concept is concretely implemented along one or more use cases that address high-priority industry pain points. This concept will create a blueprint and a framework for further developments, which will then be further established in the market. The research project illuminates the perspective of various governance innovations to increase industry collaboration, productivity and capital project performance and transparency as well as the overall potential of possible platform business models. However, a comprehensive expert survey revealed that there are considerable obstacles to trust-based data exchange between the key stakeholders in the industry value network. The obstacles to cooperation are predominantly not of a technical nature but rather of a competitive, predominantly trust-related nature. To overcome these obstacles and create a pre-competitive space of trust, the authors therefore propose the governance structure of a data cooperative model, which is discussed in detail in this paper.
The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual procedure requires considerable human and financial resources, and incorporates some subjectivity, an automated approach could result in several advantages. There have been many developments in this area, and in order to provide a comprehensive overview, it is essential to review relevant recent works and summarise the characteristics of the approaches, which is the main aim of this article. To achieve it, we examined articles published between 2018 and 2022 that dealt with the automated scoring of sleep stages. In the final selection for in-depth analysis, 125 articles were included after reviewing a total of 515 publications. The results revealed that automatic scoring demonstrates good quality (with Cohen's kappa up to over 0.80 and accuracy up to over 90%) in analysing EEG/EEG + EOG + EMG signals. At the same time, it should be noted that there has been no breakthrough in the quality of results using these signals in recent years. Systems involving other signals that could potentially be acquired more conveniently for the user (e.g. respiratory, cardiac or movement signals) remain more challenging in the implementation with a high level of reliability but have considerable innovation capability. In general, automatic sleep stage scoring has excellent potential to assist medical professionals while providing an objective assessment.
Driver assistance systems are increasingly becoming part of the standard equipment of vehicles and thus contribute to road safety. However, as they become more widespread, the requirements for cost efficiency are also increasing, and so few and inexpensive sensors are used in these systems. Especially in challenging situations, this leads to the fact that target discrimination cannot be ensured which may lead to false reactions of the driver assistance system. In this paper, the Boids flocking algorithm is used to generate semantic neighborhood information between tracked objects which in turn can significantly improve the overall performance. Two different variants were developed: First, a free-moving flock whereby a separate flock is generated per tracked object and second, a formation-controlled flock where boids of a single flock move along the future road course in a pre-defined formation. In the first approach, the interaction between the flocks as well as the interaction between the boids within a flock is used to generate additional information, which in turn can be used to improve, for example, lane change detection. For the latter approach, new behavioral rules have been developed, so that the boids can reliably identify control-relevant objects to a driver assistance system. Finally, the performance of the presented methods is verified through extensive simulations.