Springer
Refine
Year of publication
Institute
- Fachbereich Medizintechnik und Technomathematik (75)
- Fachbereich Elektrotechnik und Informationstechnik (73)
- IfB - Institut für Bioengineering (42)
- Fachbereich Luft- und Raumfahrttechnik (26)
- Fachbereich Chemie und Biotechnologie (23)
- Fachbereich Energietechnik (21)
- Fachbereich Wirtschaftswissenschaften (18)
- Fachbereich Maschinenbau und Mechatronik (14)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (12)
- INB - Institut für Nano- und Biotechnologien (10)
Has Fulltext
- no (259) (remove)
Document Type
- Article (128)
- Part of a Book (104)
- Conference Proceeding (25)
- Book (2)
Keywords
- MINLP (3)
- Natural language processing (3)
- Seismic design (3)
- Additive manufacturing (2)
- Digitale Transformation (2)
- Engineering optimization (2)
- Information extraction (2)
- Optimization (2)
- Pitching Moment (2)
- Powertrain (2)
- Process engineering (2)
- Prozessautomatisierung (2)
- Tanks (2)
- Telecommunication (2)
- Wave Drag (2)
- Wind Tunnel (2)
- 3D printing (1)
- ABE (1)
- Acid crash (1)
- Active learning (1)
- Advanced driver assistance systems (ADAS/AD) (1)
- Agent-based simulation (1)
- Analytics (1)
- Annulus Fibrosus (1)
- Arbeit 4.0 (1)
- Autonomous mobile robots (1)
- BEV (1)
- Bahadur efficiency (1)
- Balance (1)
- Balanced hypergraph (1)
- Best practice sharing (1)
- Bioeconomy (1)
- Bioethanol (1)
- Biomechanical simulation (1)
- Biomolecular logic gate (1)
- Biorefinery (1)
- Biorefinery definitions (1)
- Bladder (1)
- Bloom’s Taxonomy (1)
- Bone sawing (1)
- Boundary integral equations (1)
- Business Models (1)
- Business Process (1)
- Butanol (1)
- C. acetobutylicum (1)
- Calorimetric gas sensor (1)
- Cardiovascular MRI (1)
- Carsharing (1)
- Certification Rule (1)
- Change culture (1)
- Charging stations (1)
- Chatbots (1)
- Chemical imaging (1)
- Cloud Computing (1)
- Clustering (1)
- Co-managed care (1)
- Coefficient of ocular rigidity (1)
- Cognitive assistance system (1)
- Collaborative robot (1)
- Competence Developing Games (1)
- Complex System (1)
- Components (1)
- Connected Automated Vehicle (1)
- Controller Parameter (1)
- Cooling system (1)
- Corneo-scleral shell (1)
- Coverage probability (1)
- Cryptographic protocols (1)
- Crámer–von-Mises distance (1)
- Customer Orientation (1)
- DNA (1)
- Datenschutz (1)
- Decentral (1)
- Deep Learning (1)
- Deep learning (1)
- Design examples (1)
- Differential tonometry (1)
- Digital leadership (1)
- Digital manufacturing (1)
- Digitalisierung (1)
- Disc Degeneration (1)
- Drag Reduction (1)
- Dry surfaces (1)
- Duality (1)
- E-carsharing (1)
- E-mobility (1)
- EN 1998-4 (1)
- Efficiency optimization (1)
- Elderly (1)
- Electrical vehicle (1)
- Electromagnetism (1)
- Elektroenzephalographie (1)
- Elicit (1)
- Energy efficiency (1)
- Energy market design (1)
- Engine Efficiency (1)
- Engineering optimisation (1)
- Enterprise Architecture (1)
- Enterprise architecture (1)
- Enterprise transformation (1)
- Enzyme biosensor (1)
- Equivalence test (1)
- Eurocode 8 (1)
- Evacuation Rule (1)
- Experimental validation (1)
- Eyeball (1)
- FGF23 (1)
- Fall prevention (1)
- Field-effect device (1)
- Field-effect sensor (1)
- Flight Test (1)
- Fracture configuration (1)
- Fracture simulation (1)
- Fully connected car (1)
- Game-based learning (1)
- Gamification (1)
- Gearbox (1)
- Geschäftsprozessmanagement (1)
- Glass powder (1)
- Glaucoma (1)
- Global optimization (1)
- Gold nanoparticle (1)
- Goodness-of-fit tests for uniformity (1)
- Ground-level falls (1)
- Growth modelling (1)
- Gust wind response (1)
- Hall’s Theorem (1)
- Helmholtz equation (1)
- High field MRI (1)
- Human-Robot interaction (1)
- Human-centered work design (1)
- Human-robot collaboration (1)
- Hydraulic structures (1)
- Hydrogen peroxide (1)
- Hypergraph (1)
- ISO 26262 (1)
- IT Products (1)
- IT security education (1)
- IT-Sicherheit (1)
- Ice melting probe (1)
- Ice penetration (1)
- Icy moons (1)
- Identitätsmanagement (1)
- Incomplete data (1)
- Inductive charging (1)
- Industrial facilities (1)
- Industrial optimisation (1)
- Industrial units (1)
- Industry 4.0 (1)
- Information and communication technology (1)
- Informationsgetriebene Geschäftsmodelle (1)
- Integrated empirical distribution (survival) function (1)
- Integrated mobility (1)
- Interactive process mining (1)
- Interior Neumann eigenvalues (1)
- Internet der Dinge (1)
- Intervertebral Disc (1)
- Intradiscal Pressure (1)
- Introduction (1)
- Kernel density estimator (1)
- Keyword analysis (1)
- Klotho (1)
- Koenig’s Theorem (1)
- L-PBF (1)
- Laser processing (1)
- Leaderboard (1)
- Leading Edge Vortex (1)
- Lean thinking (1)
- Left ventriular function (1)
- Length of confidence intervals (1)
- Level Control System (1)
- Light-addressable potentiometric sensor (1)
- Lignocellulose feedstook (1)
- Limit analysis (1)
- MILP (1)
- MR safety (1)
- MR-stethoscope (1)
- MRI (1)
- Mach Number (1)
- Machine learning (1)
- Magnetic field strength (1)
- Magnetic resonance imaging (MRI) (1)
- Magneto alert sensor (1)
- Malicious model (1)
- Map (eTOM) Process reference model Process design Telecommunications industry (1)
- Marginal homogeneity test (1)
- Market modeling (1)
- Mars (1)
- Matching (1)
- Mechanical (1)
- Mechanical simulation (1)
- Melting (1)
- Metabolic shift (1)
- Methodology (1)
- Microbial adhesion (1)
- Minimum Risk Manoeuvre (1)
- Minor chemistry (1)
- Mixed-integer nonlinear black-box optimization (1)
- Mixed-integer nonlinear problem (1)
- Mixed-integer nonlinear programming (1)
- Mixed-integer programming (1)
- Mobility (1)
- Mobility management (1)
- Mobility tests (1)
- Monetarisierung (1)
- Multi-criteria optimization (1)
- Multi-robot systems (1)
- Multi-sensor system (1)
- Multidisciplinary Design Optimization (1)
- Multimode failure (1)
- Muscle fibers (1)
- Natural language understanding (1)
- Network (1)
- Neural Network (1)
- Noise Exposure (1)
- Non-linear optimization (1)
- Nonlinear Dynamics (1)
- Nucleus Pulposus (1)
- Numerical inversion of Laplace transforms (1)
- Numerics (1)
- OR 2019 (1)
- Objective data (1)
- Ocean worlds (1)
- Ocular blood flow (1)
- On-site (1)
- Open channels (1)
- Operational Design Domain (1)
- Optimal Closed Loop (1)
- Optimal Topology (1)
- PTH (1)
- Paired sample (1)
- Paper recycling (1)
- Parabolized Stability Equation (1)
- Passenger compartment (1)
- Passive stretching (1)
- Path planning (1)
- Pelvic floor dysfunction (1)
- Pelvic muscle (1)
- Performance (1)
- Personality (1)
- Phosphate (1)
- Physical chemistry (1)
- Physical chemistry basics (1)
- Physical chemistry starters (1)
- Physical modeling (1)
- Piecewise linearization (1)
- Pitman efficiency (1)
- Potential theory (1)
- Potentiometry (1)
- Pre-culture (1)
- Pre-treatment (1)
- Pressure-volume relationship (1)
- Privacy (1)
- Privacy-enhancing technologies (1)
- Process design (1)
- Process reference model (1)
- Process schemes (1)
- Process virtualization (1)
- Product Management (1)
- Product bundling (1)
- Product family optimization (1)
- Profile extraction (1)
- Projektbeispiele (1)
- Proximal humerus fracture (1)
- Prozessabläufe (1)
- Prozessmodellierung (1)
- Prozessstandardisierung (1)
- Psychiatrische Biomarker (1)
- Pumping systems (1)
- Pushover analysis (1)
- Qualitative Wertschöpfungsanalyse (1)
- Query learning (1)
- RVA (1)
- Rapid manufacturing (1)
- Rapid prototyping (1)
- Reconstruction (1)
- Reference modelling (1)
- Referenzmodellierung (1)
- Relation classification (1)
- Reliability analysis (1)
- Renewable resources (1)
- Reproducible research (1)
- Resampling test (1)
- Resilience (1)
- Resolvent Operator (1)
- Response spectrum (1)
- Responsibility (1)
- RoboCup (1)
- Robotic Process Automation (1)
- Rotator cuff (1)
- Safety concept (1)
- Safety of the intended functionality (SOTIF) (1)
- Safety-critical systems validation (1)
- Sampling methods (1)
- Schlafspindeldetektion (1)
- Secure multi-party computation (1)
- Services (1)
- Severe Accident (1)
- Shakedown analysis (1)
- Silos (1)
- Similitude (1)
- Smart factory (1)
- Software (1)
- Software development (1)
- Software testing (1)
- Softwareroboter (1)
- Sonic Boom (1)
- Specific Fuel Consumption (1)
- Spectral analysis (1)
- Strategic Business Planning (1)
- Structural health monitoring (1)
- Supersonic Flow (1)
- Supersonic Wind Tunnel (1)
- Surface microorganisms (1)
- Swabbing (1)
- TM Forum (1)
- Teamwork (1)
- Technical Operation Research (1)
- Technical Operations Research (1)
- Technische Schutzmaßnahmen (1)
- Technology Challenge (1)
- Telecommunication Industry (1)
- Text mining (1)
- Thermal Fatigue Testing (1)
- Thermal comfort (1)
- Thermal management (1)
- Thermodynamics as minor (1)
- Tinetti test (1)
- Transformation (1)
- Transformation Project (1)
- Transiton of Control (1)
- Trustworthy artificial intelligence (1)
- Uktrahigh field MRI (1)
- Urban areas (1)
- Ureter (1)
- V2X (1)
- Validation (1)
- Variable Geometry (1)
- Vascular response (1)
- Vertex cover (1)
- Visual field asymmetry (1)
- Vitamin D (1)
- WLTP (1)
- Water (1)
- Water distribution system (1)
- Wilcoxon tests (1)
- Wind turbulence (1)
- Workspace monitoring (1)
- Zero-knowledge proofs (1)
- business analytics (1)
- decision analytics (1)
- digital economy (1)
- eTOM (1)
- enhanced Telecom Operations Map (eTOM) (1)
- mathematical optimization (1)
- training simulator (1)
- virtual reality (1)
- · Psychiatrische Erkrankungen/Diagnostik (1)
We conducted a scoping review for active learning in the domain of natural language processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as follows:
Objective: Identify active learning strategies that were proposed for entity recognition and their evaluation environments (datasets, metrics, hardware, execution time).
Design: We used Scopus and ACM as our search engines. We compared the results with two literature surveys to assess the search quality. We included peer-reviewed English publications introducing or comparing active learning strategies for entity recognition.
Results: We analyzed 62 relevant papers and identified 106 active learning strategies. We grouped them into three categories: exploitation-based (60x), exploration-based (14x), and hybrid strategies (32x). We found that all studies used the F1-score as an evaluation metric. Information about hardware (6x) and execution time (13x) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible.
Conclusion: Numerous active learning strategies have been identified, along with significant open questions that still need to be addressed. Researchers and practitioners face difficulties when making data-driven decisions about which active learning strategy to adopt. Conducting comprehensive empirical comparisons using the evaluation environment proposed in this study could help establish best practices in the domain.
Mathematical morphology is a part of image processing that has proven to be fruitful for numerous applications. Two main operations in mathematical morphology are dilation and erosion. These are based on the construction of a supremum or infimum with respect to an order over the tonal range in a certain section of the image. The tonal ordering can easily be realised in grey-scale morphology, and some morphological methods have been proposed for colour morphology. However, all of these have certain limitations.
In this paper we present a novel approach to colour morphology extending upon previous work in the field based on the Loewner order. We propose to consider an approximation of the supremum by means of a log-sum exponentiation introduced by Maslov. We apply this to the embedding of an RGB image in a field of symmetric 2x2 matrices. In this way we obtain nearly isotropic matrices representing colours and the structural advantage of transitivity. In numerical experiments we highlight some remarkable properties of the proposed approach.
Fields of asymmetric tensors play an important role in many applications such as medical imaging (diffusion tensor magnetic resonance imaging), physics, and civil engineering (for example Cauchy-Green-deformation tensor, strain tensor with local rotations, etc.). However, such asymmetric tensors are usually symmetrized and then further processed. Using this procedure results in a loss of information. A new method for the processing of asymmetric tensor fields is proposed restricting our attention to tensors of second-order given by a 2x2 array or matrix with real entries. This is achieved by a transformation resulting in Hermitian matrices that have an eigendecomposition similar to symmetric matrices. With this new idea numerical results for real-world data arising from a deformation of an object by external forces are given. It is shown that the asymmetric part indeed contains valuable information.
The hot spots conjecture is only known to be true for special geometries. This paper shows numerically that the hot spots conjecture can fail to be true for easy to construct bounded domains with one hole. The underlying eigenvalue problem for the Laplace equation with Neumann boundary condition is solved with boundary integral equations yielding a non-linear eigenvalue problem. Its discretization via the boundary element collocation method in combination with the algorithm by Beyn yields highly accurate results both for the first non-zero eigenvalue and its corresponding eigenfunction which is due to superconvergence. Additionally, it can be shown numerically that the ratio between the maximal/minimal value inside the domain and its maximal/minimal value on the boundary can be larger than 1 + 10− 3. Finally, numerical examples for easy to construct domains with up to five holes are provided which fail the hot spots conjecture as well.
Generating synthetic LiDAR point cloud data for object detection using the Unreal Game Engine
(2024)
Object detection based on artificial intelligence is ubiquitous in today’s computer vision research and application. The training of the neural networks for object detection requires large and high-quality datasets. Besides datasets based on image data, datasets derived from point clouds offer several advantages. However, training datasets are sparse and their generation requires a lot of effort, especially in industrial domains. A solution to this issue offers the generation of synthetic point cloud data. Based on the design science research method, the work at hand proposes an approach and its instantiation for generating synthetic point cloud data based on the Unreal Engine. The point cloud quality is evaluated by comparing the synthetic cloud to a real-world point cloud. Within a practical example the applicability of the Unreal Game engine for synthetic point cloud generation could be successfully demonstrated.
Objectives
Interest in cardiovascular magnetic resonance (CMR) at 7 T is motivated by the expected increase in spatial and temporal resolution, but the method is technically challenging. We examined the feasibility of cardiac chamber quantification at 7 T.
Methods
A stack of short axes covering the left ventricle was obtained in nine healthy male volunteers. At 1.5 T, steady-state free precession (SSFP) and fast gradient echo (FGRE) cine imaging with 7 mm slice thickness (STH) were used. At 7 T, FGRE with 7 mm and 4 mm STH were applied. End-diastolic volume, end-systolic volume, ejection fraction and mass were calculated.
Results
All 7 T examinations provided excellent blood/myocardium contrast for all slice directions. No significant difference was found regarding ejection fraction and cardiac volumes between SSFP at 1.5 T and FGRE at 7 T, while volumes obtained from FGRE at 1.5 T were underestimated. Cardiac mass derived from FGRE at 1.5 and 7 T was larger than obtained from SSFP at 1.5 T. Agreement of volumes and mass between SSFP at 1.5 T and FGRE improved for FGRE at 7 T when combined with an STH reduction to 4 mm.
Conclusions
This pilot study demonstrates that cardiac chamber quantification at 7 T using FGRE is feasible and agrees closely with SSFP at 1.5 T.
Objective
The purpose of this study is to (i) design a small and mobile Magnetic field ALert SEnsor (MALSE), (ii) to carefully evaluate its sensors to their consistency of activation/deactivation and sensitivity to magnetic fields, and (iii) to demonstrate the applicability of MALSE in 1.5 T, 3.0 T and 7.0 T MR fringe field environments.
Methods
MALSE comprises a set of reed sensors, which activate in response to their exposure to a magnetic field. The activation/deactivation of reed sensors was examined by moving them in/out of the fringe field generated by 7TMR.
Results
The consistency with which individual reed sensors would activate at the same field strength was found to be 100% for the setup used. All of the reed switches investigated required a substantial drop in ambient magnetic field strength before they deactivated.
Conclusions
MALSE is a simple concept for alerting MRI staff to a ferromagnetic object being brought into fringe magnetic fields which exceeds MALSEs activation magnetic field. MALSE can easily be attached to ferromagnetic objects within the vicinity of a scanner, thus creating a barrier for hazardous situations induced by ferromagnetic parts which should not enter the vicinity of an MR-system to occur.
New insights into the influence of pre-culture on robust solvent production of C. acetobutylicum
(2024)
Clostridia are known for their solvent production, especially the production of butanol. Concerning the projected depletion of fossil fuels, this is of great interest. The cultivation of clostridia is known to be challenging, and it is difficult to achieve reproducible results and robust processes. However, existing publications usually concentrate on the cultivation conditions of the main culture. In this paper, the influence of cryo-conservation and pre-culture on growth and solvent production in the resulting main cultivation are examined. A protocol was developed that leads to reproducible cultivations of Clostridium acetobutylicum. Detailed investigation of the cell conservation in cryo-cultures ensured reliable cell growth in the pre-culture. Moreover, a reason for the acid crash in the main culture was found, based on the cultivation conditions of the pre-culture. The critical parameter to avoid the acid crash and accomplish the shift to the solventogenesis of clostridia is the metabolic phase in which the cells of the pre-culture were at the time of inoculation of the main culture; this depends on the cultivation time of the pre-culture. Using cells from the exponential growth phase to inoculate the main culture leads to an acid crash. To achieve the solventogenic phase with butanol production, the inoculum should consist of older cells which are in the stationary growth phase. Considering these parameters, which affect the entire cultivation process, reproducible results and reliable solvent production are ensured.
In the context of the increasing digitalization, the Internet of Things (IoT) is seen as a technological driver through which completely new business models can emerge in the interaction of different players. Identified key players include traditional industrial companies, municipalities and telecommunications companies. The latter, by providing connectivity, ensure that small devices with tiny batteries can be connected almost anywhere and directly to the Internet. There are already many IoT use cases on the market that provide simplification for end users, such as Philips Hue Tap. In addition to business models based on connectivity, there is great potential for information-driven business models that can support or enhance existing business models. One example is the IoT use case Park and Joy, which uses sensors to connect parking spaces and inform drivers about available parking spaces in real time. Information-driven business models can be based on data generated in IoT use cases. For example, a telecommunications company can add value by deriving more decision-relevant information – called insights – from data that is used to increase decision agility. In addition, insights can be monetized. The monetization of insights can only be sustainable, if careful attention is taken and frameworks are considered. In this chapter, the concept of information-driven business models is explained and illustrated with the concrete use case Park and Joy. In addition, the benefits, risks and framework conditions are discussed.
Objective: As high-field cardiac MRI (CMR) becomes more widespread the propensity of ECG to interference from electromagnetic fields (EMF) and to magneto-hydrodynamic (MHD) effects increases and with it the motivation for a CMR triggering alternative. This study explores the suitability of acoustic cardiac triggering (ACT) for left ventricular (LV) function assessment in healthy subjects (n=14). Methods: Quantitative analysis of 2D CINE steady-state free precession (SSFP) images was conducted to compare ACT’s performance with vector ECG (VCG). Endocardial border sharpness (EBS) was examined paralleled by quantitative LV function assessment. Results: Unlike VCG, ACT provided signal traces free of interference from EMF or MHD effects. In the case of correct Rwave recognition, VCG-triggered 2D CINE SSFP was immune to cardiac motion effects—even at 3.0 T. However, VCG-triggered 2D SSFP CINE imaging was prone to cardiac motion and EBS degradation if R-wave misregistration occurred. ACT-triggered acquisitions yielded LV parameters (end-diastolic volume (EDV), endsystolic volume (ESV), stroke volume (SV), ejection fraction (EF) and left ventricular mass (LVM)) comparable with those derived fromVCG-triggered acquisitions (1.5 T: ESVVCG=(56± 17) ml, EDVVCG=(151±32)ml, LVMVCG=(97±27) g, SVVCG=(94± 19)ml, EFVCG=(63±5)% cf. ESVACT= (56±18) ml, EDVACT=(147±36) ml, LVMACT=(102±29) g, SVACT=(91± 22) ml, EFACT=(62±6)%; 3.0 T: ESVVCG=(55±21) ml, EDVVCG=(151±32) ml, LVMVCG=(101±27) g, SVVCG=(96±15) ml, EFVCG=(65±7)% cf. ESVACT=(54±20) ml, EDVACT=(146±35) ml, LVMACT= (101±30) g, SVACT=(92±17) ml, EFACT=(64±6)%). Conclusions: ACT’s intrinsic insensitivity to interference from electromagnetic fields renders