Refine
Year of publication
Document Type
- Article (356) (remove)
Language
- German (190)
- English (164)
- Multiple languages (2)
Has Fulltext
- no (356) (remove)
Keywords
- (Strict) sign-regularity (1)
- 3D urban planning (1)
- AAL (2)
- Aboriginal people (1)
- Abstract interpretation (1)
- Accelerometer calibration (1)
- Accelerometer sensor (1)
- Accelerometers (1)
- Actuators (1)
- Adapted business models design for sustainability (aDBMfS) (1)
- Adaption (1)
- Adivasi (1)
- Adolescent idiopathic scoliosis (1)
- Aerobic fermentation (1)
- Aerospace Engineering (1)
- Allegation (1)
- Ambient assisted living (1)
- Analytische Berechnung (1)
- Analytische Berechnung und Simulation (1)
- Anhaftung (1)
- Antenna arrays (1)
- Anticipation (1)
- Apnea detection (1)
- Application Integration (1)
- Aquaculture (1)
- Aquakultur (1)
- Architektur (3)
- Artificial intelligence (1)
- Artificial intelligence models (1)
- Artisanal mining (1)
- Atmung (1)
- Auffangnorm UWG (1)
- Auslegung von Radsatzwellen (1)
- Ausnahmefälle (1)
- Austenitic stainless steels (1)
- Autoethnography (1)
- Autofähre (1)
- Automobiles (1)
- BCG signal (1)
- BISOL (1)
- Baden-Württemberg (1)
- Balancing energy (1)
- Barrierefreier Tourismus (1)
- Basic prices (1)
- Baugeschichte (1)
- Baugrundverbesserung (1)
- Bayesian convolutional neural networks (1)
- Bayesian parameter estimation (1)
- Bedarfsermittlungen (1)
- Behinderung (1)
- Behälterbau (1)
- Bernstein coefficient (3)
- Bernstein function (1)
- Bernstein polynomial (1)
- Bestandsgebäude (1)
- Bi-LSTM Model (1)
- Bildgeneratoren (1)
- Binnenflotte (1)
- Bioenergy villages (1)
- Biokompatibilität (1)
- Biokybernetik (1)
- Biomedical signal processing (1)
- Black Forest (1)
- Blended values (1)
- Block codes (1)
- Blockchain (1)
- Bodenplatten (1)
- Body Position (1)
- Border tourism (1)
- Bounded uncertainty (2)
- British Columbia (1)
- Brücke (1)
- Buenos Aires (1)
- Bullock carts (1)
- Burkina Faso (1)
- Business english (1)
- Business model (1)
- Business plan (1)
- Bytecode (1)
- CEFR (1)
- CONCATENATED codes (1)
- CONVOLUTION codes (1)
- CSV Verfahren (1)
- Canada (1)
- Carbon offset project (1)
- Cardiorespiratory parameters (1)
- Catalytic depolymerization (1)
- Cauchon algorithm (2)
- Channel coding (1)
- Channel fading (1)
- Checkerboard ordering (1)
- Checkerboard partial order (1)
- Chemical quality criteria (1)
- Chemische Beständigkeit (1)
- Cicero (1)
- Civil and Structural Engineering (1)
- Classification (1)
- Climate action (1)
- Climate change (3)
- Climate communication (1)
- Code Generation (1)
- Coded modulation (1)
- Common goods (1)
- Complex problems (1)
- Compliance (5)
- Computational complexity (1)
- Computer Science Applications (2)
- Concatenated codes (2)
- Conceptual framework (1)
- Conditionally negative semidefinite matrix (1)
- Conflict (1)
- Content analysis (1)
- Continuous-discrete time observer (1)
- Control and Systems Engineering (1)
- Control energy (1)
- Convolutional networks (1)
- Cooperative dynamical system (1)
- Coronal alignment (1)
- Coronal balance (1)
- Corporate misconduct (1)
- Corporate venturing (1)
- Corporate-startup collaboration (1)
- Corrosion resistance (1)
- Cost-benefit analysis (1)
- Covid-19 (1)
- Creative industries (1)
- Creative tourism (2)
- Cultural and creative industries, (1)
- Cultural sustainability (1)
- Cultural tourism (2)
- Custom (1)
- Customary law (1)
- DO control (1)
- Dance (1)
- Data Model (1)
- Datenschutz (2)
- Datenschutz-Grundverordnung (DSGVO) (1)
- Decoding (2)
- Deep Learning (1)
- Deep learning (4)
- Degradation (1)
- Denkmalschutz (1)
- Descending rank conditions (1)
- Design research (1)
- Destination (1)
- Devising (1)
- Dienstleistungsmanagement (1)
- Digital Health (1)
- Digital modulation (1)
- Digital transformation (1)
- Digitalisierung (2)
- Dimensionierung und Festigkeitsnachweis (1)
- Discourse analysis (1)
- Disputing (1)
- Distributed ledger (1)
- Distributional regression (1)
- Diversity (1)
- Domain-Specific Language (DSL) (3)
- Domain-Specific-Language (DSL) (1)
- Drama in education (1)
- Driving safety (1)
- Driving stress (1)
- Durchlaufspeicherung (1)
- Dynamic testing plant (1)
- Dynamic tests (1)
- Dynamisches Torsionsmoment (1)
- E-Health (1)
- E-mobility (2)
- ECG (1)
- EMF (1)
- ERP systems (1)
- ERROR-correcting codes (1)
- EW/TTS (1)
- Eclipse Modeling Framework (EMF) (1)
- Economics and Econometrics (1)
- Ecotourism (1)
- Eddy currents (1)
- Edelstahl Rostfrei (1)
- Edward Soja (1)
- Effects of sanctions on trade (1)
- Effizienzsteigerung (1)
- Einzelhandel (2)
- Electrical and Electronic Engineering (1)
- Electrocardiographic signals (1)
- Electromagnetic actuators (1)
- Electronic early warning (1)
- Elektromagnete (1)
- Ellipsoidal enclosures (1)
- Ellipsoidal state estimation (1)
- Emerging Markets (1)
- End-user computing (1)
- Energetische Sanierung (1)
- Energy tourism (1)
- Energy transition (2)
- Ensemble (1)
- Enterprise systems (1)
- Entrainment (1)
- Entrepreneurship (2)
- Entry-wise perturbation (2)
- Entschädigungsanspruch (1)
- Error correction codes (1)
- Espanded austenite, Magnetic force microscopy, Low temperature carburisation, Ferrofluid (1)
- Essay (1)
- Evaluation (1)
- Expanded austenite (1)
- Exponent of primitivity (1)
- Extended Perron complement (1)
- Extended object tracking (1)
- Extension estimation (1)
- External tariffs (1)
- FSR Sensors (1)
- Fake news (1)
- Familienunternehmen (1)
- Fassade (1)
- Fassadensanierung (1)
- Fehlerkorrektur (2)
- Feststoffabscheidung (1)
- Finance (1)
- Financial sustainability (1)
- Finnland (1)
- Flatness-based field-oriented control (FOC) (1)
- Forest establishment (1)
- Formgedächtniseffekt (2)
- Formgedächtnislegierungen (2)
- Fortgeschrittene Lernende (1)
- Framework for indigenous tourism (1)
- Free trade agreements (1)
- Fruit drying (1)
- Fuel subsidy (1)
- Future tools and methods (1)
- GATT (1)
- GIS (1)
- Gebäudeklasse (1)
- Gebäudestruktur (1)
- General Medicine (1)
- Generalklausel UWG (1)
- Generation Z (2)
- Germany (1)
- Geschäftsmodelle (1)
- Gold mining (1)
- Graphical Online Editor (1)
- Gravity equation (1)
- Gravity-based in-field calibration (1)
- Green bridge (1)
- Greening campus (1)
- Hadamard inverse (1)
- Hadamard power (1)
- Hankel matrix (1)
- Hardware and Architecture (1)
- Hardware prototyping (1)
- Harmony (1)
- Health care (1)
- Health information exchange (1)
- Health monitoring (2)
- Health, Toxicology and Mutagenesis (1)
- Healthcare (1)
- Heart rate (3)
- Heart rate estimation (1)
- Heart rate variability (1)
- Helmut Kohl (1)
- Heterogeneous policy effects (1)
- Higher education (1)
- Homeoffice (1)
- Hotel (1)
- Human activity recognition (1)
- Human-Computer Interaction (1)
- Hurwitz integers (1)
- Hurwitz matrix (1)
- Hybrid organizations (1)
- Hybride Customer Journey (1)
- Hybride Verbunde (1)
- IP-Assets (1)
- IT Integration (1)
- IT Integration Drawbacks (1)
- IT governance (1)
- IT task responsibility (1)
- IT-Infrastruktur (1)
- Image (1)
- Imaginary geographies (1)
- Imaging (1)
- Imaginäre Geographie (1)
- Immutability (1)
- India (1)
- Indigenous tourism (2)
- Indonesian language (1)
- Inertial measurement unit (IMU) (1)
- Infinitely divisible matrix (1)
- Infrastructure (1)
- Ingenieurbaugeschichte (1)
- Ingenieurbaukunst (1)
- Injektionsmörtel (1)
- Injektionsverfahren (1)
- Innovationen (1)
- Input–Output (1)
- Integrated circuit modeling (1)
- Integrative approach (1)
- Integrity Management (3)
- Integrität (1)
- Intelligent Swarming (1)
- Interior permanent magnet synchronous machine (IPMSM) (1)
- Intermediäre (1)
- International Trade and Development (1)
- Interpretability (1)
- Interval polynomial (1)
- Interwar period (1)
- Investitionsgüter-Service (1)
- Investitionsgüterindustrie (1)
- Investitionsgüterservice (1)
- Investor reaction (1)
- IoT (1)
- Ischemic stroke (1)
- J-Peak (1)
- Joint building venture (1)
- K-subdirect sum (1)
- KI (1)
- KI-Kunst (1)
- Kanäle (1)
- Karl Bernhard (1)
- Kerala (1)
- Kerala tourism model (1)
- Kleinwasserkraft (1)
- Klimawandel (2)
- Knowledge Centered Service (1)
- Kommodifizierung (1)
- Konstanz (1)
- Konstruktivismus (1)
- Krise (1)
- Kulturelle Aneignung (1)
- Kunst (1)
- Künstliche Intelligenz (1)
- Lake Constance (2)
- Lake Constance region (1)
- Lake constance (1)
- Lamellenabscheide (1)
- Land value capture (1)
- Landscape stereotypes (1)
- Lattices (2)
- Laufwasserkraftwerke (1)
- Lazgi (1)
- Legal anthropology (1)
- Lidar (1)
- Lignin (1)
- Local livelihoods (1)
- Low-Voltage (1)
- Low-cost IMU calibration (1)
- Low-temperature carburization (1)
- Low-temperature surface-hardening (1)
- MCDA (1)
- MEMS microphones (1)
- MIMO (1)
- MVDR beamforming (1)
- Machine Learning Algorithms (1)
- Magnetic resonance imaging (1)
- Magnetizability (1)
- Maori tourism (1)
- Maori values (1)
- Marketingrecht (1)
- Markov chain Monte Carlo (MCMC) (1)
- Marktkapitalisierung (1)
- Massai (1)
- Matrix interval (2)
- Mauerwerksinjektion (1)
- Mauerwerksinstandsetzung (1)
- Maximales dynamisches Radsatz-Torsionsmoment (1)
- Maximum-likelihood detection (1)
- Measurement methods (1)
- Mechanical Engineering (1)
- Media discourse analysis (1)
- Medication adherence (1)
- Mehrworteinheiten (1)
- Menschenverachtende Werbung (1)
- Metamodel (1)
- Metamodel Definition (1)
- Metamodel Model-Driven Architecture (MDA) (1)
- Micro-electro-mechanical systems (MEMSs) (1)
- Military land redevelopment (1)
- Mitigation (1)
- Mobile application (1)
- Mobile healthcare (1)
- Mobility Solutions (1)
- Mobility turn (1)
- Model-Driven Architecture (MDA) (2)
- Model-Driven Software Development (MDSD) (3)
- Model-Driven-Development (MDD) (1)
- Monitoring (1)
- Movement detection (1)
- Movement patterns (1)
- Multi-spectral imaging systems (1)
- Multichannel Wiener filter (1)
- Multinomial logistic regression (1)
- Multiposition calibration (1)
- Multivariate polynomial (1)
- Multivariate rational function (1)
- NFC (1)
- Nachahmungsschutz (1)
- Nachhaltigkeit (1)
- Navajo-Indianer (1)
- Neckar (1)
- Net system (1)
- Network theory (1)
- Neural network (1)
- New technology-based firms (1)
- New venture survival (1)
- Ni-Ti wires (1)
- Nichtrostende Stähle (1)
- Nickel (1)
- Niedrigwasser (2)
- Niedrigwassermanagement (1)
- Non-invasive sleep study (1)
- Non-tariff barriers (1)
- Nonlinear machine dynamics (1)
- Nonlinear observers (1)
- Nonlinear output feedback (1)
- Normalizing Flows (1)
- ODH framework (1)
- Oberfläche (1)
- Oberflächenhärtung (1)
- Object detection (1)
- Observers (1)
- One Health (1)
- Ordinal regression (1)
- Oscillatory matrix (1)
- Outcome classification (1)
- Overtourism (1)
- PHP (1)
- Packaging (1)
- Palladium (1)
- Partnership (1)
- Passagierfähre (1)
- Path Dependency (1)
- Pattern recognition (1)
- Perron complement (1)
- Pfadabhängigkeiten (1)
- Platten (1)
- Polar codes (1)
- Pollution (1)
- Polynomial evaluation (1)
- Positionsschätzung (1)
- Post-growth economy (1)
- Post-truth (1)
- Postmortaler Entschädigungsanspruch (1)
- Postmortales Persönlichkeitsrecht (1)
- Posture tracking (1)
- Prediction (1)
- Primitive matrix (1)
- Principal component analysis PCA (1)
- Probabilistic Load Forecasting (1)
- Probabilistic Regression (1)
- Proportionalventile (1)
- Public engagement (1)
- Putz (1)
- Putzinstandsetzung (1)
- Quality of life (1)
- Quality prediction (1)
- R-function (1)
- RAS (1)
- REED-Solomon codes (1)
- Radolfzeller Aach (1)
- Random matrices (1)
- Range enclosure (2)
- Raumsemantik (1)
- Rechtsprechung (1)
- Reed-Muller (RM) codes (1)
- Refactoring (1)
- Reference model (1)
- Regelenergie (1)
- Regional marketing (1)
- Regression analysis (1)
- Reisemedien (1)
- Rekonstruktion (1)
- Relation (1)
- Remote sensing (1)
- Renewable energy (1)
- Research (1)
- Retail economies (1)
- Rhetorik (2)
- Rissbildung (1)
- Rissbreitenbeschränkung (1)
- Road transport (1)
- Rough set theory RST (1)
- Rules of origin (1)
- Rural development (1)
- SQLi (1)
- SUT-EURO (1)
- SUT-RAS (1)
- Sanction databases (1)
- Sanctions (1)
- Sapir-Whorf-Hypothese (1)
- Scala (1)
- Scenario analysis (1)
- Schienenfahrzeug (1)
- Schlafanalyse (1)
- Schleifen (1)
- Schreibdidaktik (2)
- Schreiben (3)
- Schreiben im Beruf (1)
- Schreibwissenschaft (1)
- Schreibzentrum (1)
- Schrumpfen (1)
- Schur complement (1)
- Schweigsamkeit (1)
- Screening (1)
- Sedimentation (1)
- Seehafenhinterlandverkehr (1)
- Selbsterregte Schwingungen (2)
- Self Service (1)
- Self-sensing (1)
- Sensor data (1)
- Sensor systems (1)
- Sensorlose Regelung (1)
- Sensors (1)
- Service Management (1)
- Sevilla (2)
- Sexistische Werbung (1)
- Seychelles (1)
- Shadow IT (3)
- Shadow systems (1)
- Shape memory alloy (1)
- Shopping tourism (1)
- Sign regular matrix (1)
- Signal Processing (1)
- Signal constellations (2)
- Signal detection (1)
- Signal processing (1)
- Signalinjektion (1)
- Simplicial Bernstein form (1)
- Simplicial Bernstein representation (1)
- Simplicial subdivision (1)
- Singular perturbations (1)
- Sleep (1)
- Sleep apnea (1)
- Sleep monitoring (1)
- Sleep positions (1)
- Sleep quality (1)
- Sleep stage classification (1)
- Sleep stages (2)
- Sleep study (4)
- Smart Services (1)
- Social impact (1)
- Social innovations (1)
- Social life cycle assessment integration into PLM System (1)
- Social life cycle sustainability assessment (SLSA) (1)
- Software (1)
- Solar drying (1)
- Solenoids (1)
- South India (1)
- Sozialer Raum (1)
- Spatial modulation (2)
- Spectral changes (1)
- Speech signal processing (1)
- Spillover (1)
- Spinal deformity (1)
- Stability analysis (3)
- Stacking fault energy (1)
- Stadtbaukunst (2)
- Stadtplanung (1)
- Stainless steel (2)
- State (1)
- State and disturbance estimation (1)
- State and parameter estimation (1)
- Static code analysis (1)
- Stationärer Einzelhandel (1)
- Stochastic uncertainty (1)
- Storage (1)
- Strommessung (1)
- Studienvorbereitender Deutschunterricht (1)
- Städtebau (3)
- Stößenseebrücke (1)
- Subdivision (1)
- Sufficiency (1)
- Supply and Use tables (1)
- Surgical planning (1)
- Sustainability (3)
- Sustainable Mobility (1)
- Sustainable development (1)
- Sustainable infrastructure (1)
- Sustainable tourism (3)
- Switzerland (1)
- System dynamics modelling (1)
- Systemisches Management (1)
- TURBO codes (1)
- Tangotanztourismus (1)
- Tatzlagerantrieb (1)
- Teaching (1)
- Teaching material (1)
- Tech ventures (1)
- Telemedicine (2)
- Teleworking (1)
- Tensorial Bernstein form (2)
- Thermoschock (1)
- Thirdspace (1)
- Tomato powder (1)
- Torque ripple compensation (1)
- Totally nonnegative matrix (5)
- Totally nonpositve matrix (1)
- Totally positive differential system (1)
- Totally positive matrix (2)
- Tourism (3)
- Tourism Development (1)
- Tourism marketing (1)
- Tourism mobility (1)
- Tourism sciences (1)
- Tourismus (2)
- Tourismuswissenschaft (1)
- Toxicology (1)
- Track and triage system (1)
- Trade Policy (1)
- Trade deflection (1)
- Trade protection (1)
- Transaction cost economics (1)
- Transaction relations (1)
- Transformation models (1)
- Tree seedlings (1)
- Triangulation (1)
- Unabhängigkeit (1)
- Uncertainty (2)
- Uncertainty modeling (1)
- Unmanned aerial vehicles (1)
- Unobtrusive measurement (1)
- Unscented Kalman Filter (1)
- Unternehmensberatung (1)
- Unternehmenskultur (1)
- Unternehmensverantwortung (1)
- Updating, projection, supply and use tables (1)
- Urban development pattern (1)
- Urbane Versorgung (1)
- Urbanity (1)
- Uzbekistan (2)
- VW-Abgasskandal (1)
- Valuation matrices (1)
- Valves (1)
- Venture creation (1)
- Venture emergence (1)
- Verkauf (1)
- Verkehrsleistung (1)
- Verkörperter Raum (1)
- Vermittlung des wissenschaftlichen Schreibens (1)
- Verschleißbeständigkeit (1)
- Vertex matrix (1)
- Vertrauen (1)
- Visitor flow management (1)
- Voluntary carbon offset (1)
- Vulnerability Pattern (1)
- WTO (1)
- Wandlersättigung (1)
- Wasserkraft (2)
- Wassernutzung (1)
- Wasserwege (1)
- Wearable device (1)
- Web security (1)
- Website-Marketing (1)
- Welfare (1)
- Werbeselbstkontrolle (1)
- Wettbewerb (1)
- Wind noise reduction (1)
- Winter tourism (1)
- Wirklichkeitskonstruktion (1)
- Wirtschaftlichkeit (1)
- Wissenschaftssprache (1)
- Wissensmanagement (3)
- Workarounds (1)
- Wärmekraftmaschinen (1)
- X-ray (1)
- XSS (1)
- Xtext (2)
- Zeolite (1)
- Zerstörung (1)
- Zombie firms (1)
- Zugfestigkeit (1)
- algebraic codes (1)
- degree elevation (1)
- eHealth (1)
- entry-wise perturbation (1)
- matrix interval (1)
- modulation coding (1)
- range bounds (1)
- rational function (1)
- simplex (1)
- vertex matrix (1)
- Ökonomie (1)
- Überarbeitung von Texten (1)
Institute
- Fakultät Architektur und Gestaltung (5)
- Fakultät Bauingenieurwesen (19)
- Fakultät Elektrotechnik und Informationstechnik (1)
- Fakultät Informatik (8)
- Fakultät Maschinenbau (8)
- Fakultät Wirtschafts-, Kultur- und Rechtswissenschaften (32)
- Institut für Angewandte Forschung - IAF (16)
- Institut für Optische Systeme - IOS (6)
- Institut für Strategische Innovation und Technologiemanagement - IST (14)
- Institut für Systemdynamik - ISD (18)
Healthy and good sleep is a prerequisite for a rested mind and body. Both form the basis for physical and mental health. Healthy sleep is hindered by sleep disorders, the medically diagnosed frequency of which increases sharply from the age of 40. This chapter describes the formal specification of an on-course practical implementation for a non-invasive system based on biomedical signal processing to support the diagnosis and treatment of sleep-related diseases. The system aims to continuously monitor vital data during sleep in a patient’s home environment over long periods by using non-invasive technologies. At the center of the development is the MORPHEUS Box (MoBo), which consists of five main conceptualizations: the MoBo core, the MoBo-HW, the MoBo algorithm, the MoBo API, and the MoBo app. These synergistic elements aim to support the diagnosis and treatment of sleep-related diseases. Although there are related developments in individual aspects concerning the system, no comparative approach is known that gives a similar scope of functionality, deployment flexibility, extensibility, or the possibility to use multiple user groups. With the specification provided in this chapter, the MORPHEUS project sets a good platform, data model, and transmission strategies to bring an innovative proposal to measure sleep quality and detect sleep diseases from non-invasive sensors.
This paper introduces the third update/release of the Global Sanctions Data Base (GSDB-R3). The GSDB-R3 extends the period of coverage from 1950–2019 to 1950–2022, which includes two special periods—COVID-19 and the new sanctions against Russia. This update of the GSDB contains a total of 1325 cases. In response to multiple inquiries and requests, the GSDB-R3 has been amended with a new variable that distinguishes between unilateral and multilateral sanctions. As before, the GSDB comes in two versions, case-specific and dyadic, which are freely available upon request at GSDB@drexel.edu. To highlight one of the new features of the GSDB, we estimate the heterogeneous effects of unilateral and multilateral sanctions on trade. We also obtain estimates of the effects on trade of the 2014 sanctions on Russia.
We quantify the effects of GATT/WTO membership on trade and welfare. Using an extensive database covering manufacturing trade for 186 countries over the period 1980–2016, we find that the average partial equilibrium impact of GATT/WTO membership on trade among member countries is large, positive, and significant. We contribute to the literature by estimating country-specific estimates and find them to vary widely across the countries in our sample with poorer members benefitting more. Using these estimates, we simulate the general equilibrium effects of GATT/WTO on welfare, which are sizable and heterogeneous across members. We show that countries not experiencing positive trade effects from joining GATT/WTO can still gain in terms of welfare, due to lower import prices and higher export demand.
Apnea is a sleep disorder characterized by breathing interruptions during sleep, impacting cardiorespiratory function and overall health. Traditional diagnostic methods, like polysomnography (PSG), are unobtrusive, leading to noninvasive monitoring. This study aims to develop and validate a novel sleep monitoring system using noninvasive sensor technology to estimate cardiorespiratory parameters and detect sleep apnea. We designed a seamless monitoring system integrating noncontact force-sensitive resistor sensors to collect ballistocardiogram signals associated with cardiorespiratory activity. We enhanced the sensor’s sensitivity and reduced the noise by designing a new concept of edge-measuring sensor using a hemisphere dome and mechanical hanger to distribute the force and mechanically amplify the micromovement caused by cardiac and respiration activities. In total, we deployed three edge-measuring sensors, two deployed under the thoracic and one under the abdominal regions. The system is supported with onboard signal preprocessing in multiple physical layers deployed under the mattress. We collected the data in four sleeping positions from 16 subjects and analyzed them using ensemble empirical mode decomposition (EMD) to avoid frequency mixing. We also developed an adaptive thresholding method to identify sleep apnea. The error was reduced to 3.98 and 1.43 beats/min (BPM) in heart rate (HR) and respiration estimation, respectively. The apnea was detected with an accuracy of 87%. We optimized the system such that only one edge-measuring sensor can measure the cardiorespiratory parameters. Such a reduction in the complexity and simplification of the instruction of use shows excellent potential for in-home and continuous monitoring.
Die energetische Sanierung von Gebäuden ist von großer Relevanz, um die gesetzlichen Klimaziele zu erreichen. Die Methode des seriellen Sanierens spielt hierbei eine wichtige Rolle. Sie gilt als ganzheitliche Maßnahme zur energetischen Aufwertung von Bestandsgebäuden, durch die nicht nur die Gebäudehülle und die Anlagentechnik, wie etwa das Heizungssystem, effektiv verbessert werden, sondern auch eine Integration von Anlagen zur Strom- und Warmwasseraufbereitung erfolgt. Bei der seriellen Sanierung wird, in Anlehnung an die Industrie und an die modulare Bauweise, eine Vorfertigung der Fassaden-
und Dachelemente durchgeführt. Im Nachgang werden die einzelnen Bauelemente und Anlagen montiert bzw. installiert. Durch die Auslagerung der Produktion und durch die Vorfertigung der Elemente besteht das Potenzial, die Montagezeit und die damit verbundenen Einschränkungen vor Ort für die Bewohner deutlich zu reduzieren.
Multi-faceted stresses of social, environmental, and economic nature are increasingly challenging the existence and sustainability of our societies. Cities in particular are disproportionately threatened by global issues such as climate change, urbanization, population growth, air pollution, etc. In addition, urban space is often too limited to effectively develop sustainable, nature-based solutions while accommodating growing populations. This research aims to provide new methodologies by proposing lightweight green bridges in inner-city areas as an effective land value capture mechanism. Geometry analysis was performed using geospatial and remote sensing data to provide geometrically feasible locations of green bridges. A multi-criteria decision analysis was applied to identify suitable locations for green bridges investigating Central European urban centers with a focus on German cities as representative examples. A cost-benefit analysis was performed to assess the economic feasibility using a case study. The results of the geometry analysis identified 3249 locations that were geometrically feasible to implement a green bridge in German cities. The sample locations from the geometry analysis were proved to be validated for their implementation potential. Multi-criteria decision analysis was used to select 287 sites that fall under the highest suitable class based on several criteria. The cost-benefit analysis of the case study showed that the market value of the property alone can easily outweigh the capital and maintenance costs of a green bridge, while the indirect (monetary) benefits of the green space continue to increase the overall value of the green bridge property including its neighborhood over time. Hence, we strongly recommend light green bridges as financially sustainable and nature-based solutions in cities worldwide.
Insecurity Refactoring is a change to the internal structure of software to inject a vulnerability without changing the observable behavior in a normal use case scenario. An implementation of Insecurity Refactoring is formally explained to inject vulnerabilities in source code projects by using static code analysis. It creates learning examples with source code patterns from known vulnerabilities.
Insecurity Refactoring is achieved by creating an Adversary Controlled Input Dataflow tree based on a Code Property Graph. The tree is used to find possible injection paths. Transformation of the possible injection paths allows to inject vulnerabilities. Insertion of data flow patterns introduces different code patterns from related Common Vulnerabilities and Exposures (CVE) reports. The approach is evaluated on 307 open source projects. Additionally, insecurity-refactored projects are deployed in virtual machines to be used as learning examples. Different static code analysis tools, dynamic tools and manual inspections are used with modified projects to confirm the presence of vulnerabilities.
The results show that in 8.1% of the open source projects it is possible to inject vulnerabilities. Different inspected code patterns from CVE reports can be inserted using corresponding data flow patterns. Furthermore the results reveal that the injected vulnerabilities are useful for a small sample size of attendees (n=16). Insecurity Refactoring is useful to automatically generate learning examples to improve software security training. It uses real projects as base whereas the injected vulnerabilities stem from real CVE reports. This makes the injected vulnerabilities unique and realistic.
Purpose
In order to combat climate change and safeguard a liveable future we need fundamental and rapid social change. Climate communication can play an important role to nurture the public engagement needed for this change, and higher education for sustainability can learn from climate communication.
Approach
The scientific evidence base on climate communication for effective public engagement is summarised into ten key principles, including ‘basing communication on people’s values’, ‘conscious use of framing’, and ‘turning concern into action’. Based on the author’s perspective and experience in the university context, implications are explored for sustainability in higher education.
Findings
The article provides suggestions for teaching (e.g. complement information with consistent behaviour by the lecturer, integrate local stories, and provide students with basic skills to communicate climate effectively), for research (e.g. make teaching for effective engagement the subject of applied research), for universities’ third mission to contribute to sustainable development
in the society (e.g. provide climate communication trainings to empower local stakeholders), andgreening the campus (develop a proper engagement infrastructure, e.g. by a university storytelling exchange on climate action).
Originality
The article provides an up-to-date overview of climate communication research, which is in itself original. This evidence base holds interesting learnings for institutions of higher education, and the link between climate communication and universities has so far not been explored comprehensively.
In this work, a storage study was conducted to find suitable packaging material for tomato powder storage. Experiments were laid out in a single factor completely randomized design (CRD) to study the effect of packaging materials on lycopene, vitamin C moisture content, and water activity of tomato powder; The factor (packaging materials) has three levels (low‐density polyethylene bag, polypropylene bottle, wrapped with aluminum foils, and packed in low‐density polyethylene bag) and is replicated three times. During the study, a twin layer solar tunnel dried tomato slices of var. Galilea was used. The dried tomato slices were then ground and packed (40 g each) in the packaging materials and stored at room temperature. Samples were drawn from the packages at 2‐month interval for quality analysis and SAS (version 9.2) software was used for statistical analysis. From the result, higher retention of lycopene (80.13%) and vitamin C (49.32%) and a nonsignificant increase in moisture content and water activity were observed for tomato powder packed in polypropylene bottles after 6 months of storage. For low‐density polyethylene packed samples and samples wrapped with aluminum foil and packed in a low‐density polyethylene bag, 57.06% and 60.45% lycopene retention and 42.9% and 49.23% Vitamin C retention were observed, respectively, after 6 months of storage. Considering the results found, it can be concluded that lycopene and vitamin C content of twin layer solar tunnel dried tomato powder can be preserved at ambient temperature storage by packing in a polypropylene bottle with a safe range of moisture content and water activity levels for 6 months.
This study aims to investigate the utilization of Bayesian techniques for the calibration of micro-electro-mechanical system (MEMS) accelerometers. These devices have garnered substantial interest in various practical applications and typically require calibration through error-correcting functions. The parameters of these error-correcting functions are determined during a calibration process. However, due to various sources of noise, these parameters cannot be determined with precision, making it desirable to incorporate uncertainty in the calibration models. Bayesian modeling offers a natural and complete way of reflecting uncertainty by treating the model parameters as variables rather than fixed values. In addition, Bayesian modeling enables the incorporation of prior knowledge, making it an ideal choice for calibration. Nevertheless, it is infrequently used in sensor calibration. This study introduces Bayesian methods for the calibration of MEMS accelerometer data in a straightforward manner using recent advances in probabilistic programming.
Large-scale quantum computers threaten the security of today's public-key cryptography. The McEliece cryptosystem is one of the most promising candidates for post-quantum cryptography. However, the McEliece system has the drawback of large key sizes for the public key. Similar to other public-key cryptosystems, the McEliece system has a comparably high computational complexity. Embedded devices often lack the required computational resources to compute those systems with sufficiently low latency. Hence, those systems require hardware acceleration. Lately, a generalized concatenated code construction was proposed together with a restrictive channel model, which allows for much smaller public keys for comparable security levels. In this work, we propose a hardware decoder suitable for a McEliece system based on these generalized concatenated codes. The results show that those systems are suitable for resource-constrained embedded devices.
This study aims to adapt CEFR in developing an integrative approach-based teaching material model for a pre-basic BISOL class. The method used in this research is the development research design by Borg and Gall. This study was development research. The stages are identification of the problem, formulation of a hypothetical draft model; feasibility testing by experts; product revision; and test product effectiveness. The data were collected through survey techniques, interviews, and documentation. The needs identification results revealed data encompassing 10 themes, 5 tasks per theme, and diverse evaluations comprising theory, in-class practice, and real-world field assignments, both on an individual and group basis. These identified needs require alignment with CEFR A1 for the development of BISOL learning. These findings were subsequently incorporated into the design of the teaching material model, and the results indicated that tailoring CEFR to BISOL as an integrative language teaching material model was feasible for application in the classroom, as assessed by experts. The implications suggest that integrating CEFR into BISOL is highly feasible for the development of teaching materials, and teachers can leverage this instructional model to enhance students' proficiency in the Indonesian language.
Infrastructure-making in interwar India was a dynamic, multilayered process involving roads and vehicles in urban and rural sites. One of their strongest playgrounds was Bombay Presidency and the Central Provinces in central and western India. Focusing on this region in the interwar period, this paper analyzes the varied relationship between peasant households and town-centred modernizing agents in the making of road transport infrastructures. The central argument of this paper is about the persistence of bullock carts over motor cars in the region. This persistence was grounded in the specific regional environment, the effects of the 1930s economic depression, and the priorities of social classes. Pinpointing these connections, the paper highlights that “modernization” of infrastructure was not a simple, linear process of progressivist change, nor did it mean the survival of apparently “old” technologies in the modern era. Instead, the paper pays attention to conflicting social complexities, implications, and meanings of the connection between infrastructure and modernity that modernization assumptions often overlook. Here, the paper shows how technological change occurred as a result of real, material class interests pulling infrastructural technology in different directions. This was where and why arguments of road-motor lobbyists and cart advocates eventually clashed, and Gandhian social workers resisted motor transport in defense of peasant interests.
This paper applies the concept of Soja’s Thirdspace to the phenomenon of Lazgi dance and tourism in Uzbekistan. In doing so it analyses the different levels of perception (including Firstspace and Secondspace) of Lazgi and tourism via an autoethnographic lens. Complemented by expert interviews, the interaction of Lazgi and tourism is examined and characteristics of the Lazgisphere (world of Lazgi) in Uzbekistan are distilled. The results show that Lazgi is often directly or indirectly connected with tourism in Uzbekistan, but even more so serves to reaffirm national identity.
"KI first" braucht Verlierer
(2023)
Aktuell vergeht kaum eine Woche, in der nicht ein Unternehmen den Kampf um die Vorherrschaft im Bereich der Künstlichen Intelligenz (KI) aufnimmt. Tech-Konzerne versprechen sich auch von KI-gesteuerten Bildgeneratoren satte Gewinne. Diese ahmen mit synthetischen Mischbildern stilprägende Künstler/innen nach. Dabei wird auf die Rechtslage verwiesen, die eine zustimmungs- und vergütungsfreie Vervielfältigung ihrer Kunstwerke für Trainingszwecke angeblich zulässt. Doch Widerstand von Künstlern/innen hiergegen ist gesellschaftlich dringend geboten und wäre im Übrigen auch rechtlich gedeckt.
Die Relevanzanalyse
(2023)
Ordnungsgemäße Unternehmensführung ohne adäquates Risiko- und Compliance-Management ist kaum noch vor- und darstellbar. Rechtsprechung, Literatur, Politik und Gesellschaft stellen (mehr oder weniger) klare Anforderungen an ordnungsgemäßes unternehmerisches Verhalten und sanktionieren tatsächliche (und vermeintliche) Regelverstöße. Um die unternehmensspezifischen Risiken zu erfassen ist die Durchführung einer Risikoanalyse (Compliance Risk Assessment – CRA) unumgänglich1. Der eigentlichen Risikoanalyse ist eine Relevanzanalyse voranzustellen, um sich der bei unternehmerischen Aktivitäten naturgemäß nahezu unüberschaubaren potenziellen Risikomenge anzunähern und diese „abarbeitbar“ zu erfassen. Wird diese Relevanzanalyse professionell und strukturiert durchgeführt und dokumentiert, so kann sie einen wertvollen Beitrag zum Schutz und zur Hilfe gegen Compliance-Verstöße und deren Sanktionierung leisten. Der nachfolgende Beitrag stellt die Grundlagen, Ziele, Anforderungen und Ansätze der Relevanzanalyse dar. In einem weiteren Beitrag (erscheint in CB 11/2023) werden sich die Autoren der Durchführung der Relevanzanalyse widmen und Hinweise zu deren Ablauf und Inhalt geben.
Sanktionen gegen Russland
(2023)
Die EU hat aufgrund des völkerrechtswidrigen Angriffskrieges auf die Ukraine umfangreiche Sanktionen gegen Russland erlassen. Die Sanktionspakete umfassen insbesondere Wirtschaftssanktionen in Form von Einfuhr- und Ausfuhrbeschränkungen, die für deutsche Unternehmen mit unmittelbaren oder mittelbaren Geschäftsbeziehungen nach Russland von Bedeutung sind. Im Vordergrund der rechtlichen Thematik steht die Frage, ob und wann deutsche Unternehmen gegen EU-Sanktionen verstoßen. Aber auch deutsche Unternehmen mit Tochtergesellschaften in Drittstaaten stehen vor der großen Herausforderung, den Regelmechanismus der diversen Sanktionspakete zu durchleuchten, um sich nicht der Gefahr des Vorwurfs einer Umgehung der Sanktionen auszusetzen.
Die Relevanzanalyse
(2023)
Um unternehmensspezifische Risiken zu erfassen ist die Risikoanalyse unumgänglich. Ihr ist wiederum eine Relevanzanalyse voranzustellen. Nachdem im Heft 10 des Compliance Berater 2023, S. 400-404 die Grundlagen, Ziele, Anforderungen und Ansätze der Relevanzanalyse dargestellt wurden, widmet sich der nachfolgende Beitrag der Durchführung der Relevanzanalyse und gibt Hinweise zu deren Ablauf und Inhalt.
Compliance meets CSR
(2023)
Was früher Gegenstand freiwilliger Selbstverpflichtung war, wird seit einiger Zeit zunehmend reguliert: die Wahrnehmung der unternehmensspezifischen Verantwortung gegenüber Umwelt und Gesellschaft, neudeutsch Corporate Social Responsibility (CSR). CSR und Compliance rücken damit näher zusammen. Vieles, was früher durch CSR-Abteilungen im besten Fall systematisch gemanagt wurde, ist nun gesetzlich vorgeschrieben und fällt damit in den Aufgabenbereich von Compliance. Liegt es da nicht nahe, die beiden Bereiche miteinander zu verschmelzen respektive CSR dem Bereich unterzuordnen, der seit den spektakulären Korruptions- und Bilanzfälschungsskandalen zu Beginn dieses Jahrtausends über die größere Management-Awareness verfügt?
Der vorliegende Beitrag versucht deutlich zu machen, wie das Verhältnis sachlich-fachlich einzuordnen ist und welche Schlussfolgerungen in der Praxis daraus gezogen werden könnten.
“Crowd contamination”?
(2023)
Misconduct allegations have been found to not only affect the alleged firm but also other, unalleged firms in form of reputational and financial spillover effects. It has remained unexplored, however, how the number of prior allegations against other firms matters for an individual firm currently facing an allegation. Building on behavioral decision theory, we argue that the relationship between allegation prevalence among other firms and investor reaction to a focal allegation is inverted U-shaped. The inverted U-shaped effect is theorized to emerge from the combination of two effects: In the absence of prior allegations against other firms, investors fail to anticipate the focal allegation, and hence react particularly negatively (“anticipation effect”). In the case of many prior allegations against other firms, investors also react particularly negatively because investors perceive the focal allegation as more warranted (“evaluation effect”). The multi-industry, empirical analysis of 8,802 misconduct allegations against US firms between 2007 and 2017 provides support for our predicted, inverted U-shaped effect. Our study complements recent misconduct research on spillover effects by highlighting that not only a current allegation against an individual firm can “contaminate” other, unalleged firms but that also prior allegations against other firms can “contaminate” investor reaction to a focal allegation against an individual firm.
Study design:
Retrospective, mono-centric cohort research study.
Objectives:
The purpose of this study is to validate a novel artificial intelligence (AI)-based algorithm against human-generated ground truth for radiographic parameters of adolescent idiopathic scoliosis (AIS).
Methods:
An AI-algorithm was developed that is capable of detecting anatomical structures of interest (clavicles, cervical, thoracic, lumbar spine and sacrum) and calculate essential radiographic parameters in AP spine X-rays fully automatically. The evaluated parameters included T1-tilt, clavicle angle (CA), coronal balance (CB), lumbar modifier, and Cobb angles in the proximal thoracic (C-PT), thoracic, and thoracolumbar regions. Measurements from 2 experienced physicians on 100 preoperative AP full spine X-rays of AIS patients were used as ground truth and to evaluate inter-rater and intra-rater reliability. The agreement between human raters and AI was compared by means of single measure Intra-class Correlation Coefficients (ICC; absolute agreement; .75 rated as excellent), mean error and additional statistical metrics.
Results:
The comparison between human raters resulted in excellent ICC values for intra- (range: .97-1) and inter-rater (.85-.99) reliability. The algorithm was able to determine all parameters in 100% of images with excellent ICC values (.78-.98). Consistently with the human raters, ICC values were typically smallest for C-PT (eg, rater 1A vs AI: .78, mean error: 4.7°) and largest for CB (.96, -.5 mm) as well as CA (.98, .2°).
Conclusions:
The AI-algorithm shows excellent reliability and agreement with human raters for coronal parameters in preoperative full spine images. The reliability and speed offered by the AI-algorithm could contribute to the efficient analysis of large datasets (eg, registry studies) and measurements in clinical practice.
A post-growth economy is a comparatively new paradigm in the tourism discourse. The aim of this article is to find out the commonalities between this concept and Māori tourism and in which way the latter can contribute to a post-growth economy. A qualitative mixed method approach, including in-depth-interviews, participant observation, and secondary analysis is applied. The results show that there is a lot of overlap between Māori tourism and a post-growth economy. Differences are visible, as well, regarding the value approach of Māori tourism and the indicator approach of a post-growth economy. Especially the social innovation created in Aotearoa New Zealand at the instigation of Māori groups of granting legal personhood to parts of nature may serve as a driver for a form of tourism that is in line with the idea of a post-growth economy.
Der Wandel des Einzelhandels
(2023)
Die Ursachen der existentiellen Bedrohung vieler Einzelhandelsunternehmen sind nicht nur auf die Nachwirkungen der Coronapandemie und den Ukraine-Krieg mit der daraus resultierenden Inflation und Kaufzurückhaltung zurückzuführen. Auch die Digitalisierung und die wachsende Onlinekonkurrenz sowie ein verändertes Einkaufs- und Konsumverhalten der Kund:innen setzt den Einzelhandel unter Druck. Dabei scheint besonders die junge Generation Z, die mit dem Internet, sozialen Medien und digitalen Anwendungen aufgewachsen ist, nicht mehr den traditionellen Konsummustern zu entsprechen, und erwartet eine Ausrichtung des Einzelhandels an ihre Bedürfnisse. Doch wie ticken junge Konsument:innen und wie unterscheiden sich ihre Erwartungen an den Handel von älteren Generationen? Im Beitrag werden Antworten auf diese Fragen gegeben.
The aim of this paper is to find out in how accommodation providers in the Seychelles perceive climate change and what mitigation and adaptation measures they can provide. In order to answer these questions, a qualitative mixed-method-approach, comprised of twenty semi-structured interviews, an online-survey and participant observation was used. Results show that accommodation providers especially perceive the effects of climate change that directly affect their business and that they have already partly implemented some mitigation and adaptation measures. However, strategies and regulations are needed at the Seychelles’ government level and on a global level to actually achieve CO2 neutral travel.
Nach heutigem Stand der Technik kommen für die Dekontamination von Störstellen wie z.B. Ecken und Innenkanten, weitestgehend Technik aus dem konventionellen Sanierungsbereich zum Einsatz. Maschinen wie Nadelpistolen und Stockgeräte belasten das Arbeitspersonal mit starken Vibrationen und hohen Rückstellkräften. Daher sind entsprechend lange Pausenzeiten erforderlich, wodurch die ohnehin schon geringe Abtragleistung weiter gesenkt wird. Neben dem zusätzlichen Mehraufwand kann die Technik, aufgrund fehlender Absaugungseinrichtungen, unter Umständen zu einer Kontaminationsverschleppung führen. Hierbei werden in bereits dekontaminierten Bereichen kontaminierte Partikel verteilt, wodurch die erzielten Bearbeitungsfortschritte teilweise rückgängig gemacht werden.
Aufgrund der Vielzahl von Nachteilen, die bei den bisher eingesetzten Geräten auftreten, wurde das Forschungsprojekt EKONT-1 zur „Entwicklung eines innovativen, teilautomatisierten Gerätes für eine trocken-mechanische Ecken-, Kanten- und Störstellendekontamination in kerntechnischen Anlagen“ angestoßen und durchgeführt. Im Rahmen dieses Projektes konnten viele neue Erkenntnisse gewonnen und mehrere funktionsfähige Prototypen entwickelt, gebaut und sowohl im Labor als auch im praktischen Einsatz getestet werden. Da im Laufe der Versuche noch einige Verbesserungspotenziale aufgetreten sind, wurde zum 01.07.23 das Folge Projekt EKONT-2 gestartet, was sich mit der Weiterentwicklung der existierenden Prototypen beschäftigt.
Dieser Beitrag untersucht, ob externe Interventionen, in Form von Forschung und/oder Wissenschaftskommunikation, als Mediator für Innovationen in Krisenzeiten in der Tourismusbranche fungieren können. Dabei wird anhand dreier Case Studies diskutiert, inwiefern die Corona-Krise ein Window-
of-opportunity für innovative Geschäftsmodelle im Tourismus darstellen konnte. Die Projektergebnisse geben Hinweise darauf, dass Krisen im Allgemeinen und Wissenschaftskommunikation im Speziellen als Push-Faktoren Innovationen befördern können. Zwar kam es bei den Projektpartnern zu einer Entwicklung von Innovationen im Projektzeitraum, jedoch wurde die Implementierung vermehrt in eine unbestimmte Zukunft verschoben. Durch die damit verbundene Rückkehr zum Status-Quo blieben die angestoßenen Innovationen zu einem Großteil auf einer konzeptionellen Ebene. Dies deutet auf eine Attitude-behavior-gap in Bezug auf die Schaffung und Umsetzung von Innovationen in Krisenzeiten.
Mit Eis erneuerbar Heizen
(2023)
In the last decade, both sustainability and business models for sustainability have increased in importance. Sustainability issues have become the focus of discussion. These issues are interlinked and often negatively impact each other. They are complex and include socio-ecological dilemmas, exist in almost every aspect of our society (economic, environmental, social), and are hard to formulate. They may have multiple, incompatible solutions, competing objectives, and open timeframes. Previous research has not developed satisfactory ways to comprehend and solve problems of this nature. Life Cycle Assessment (LCA) the widely used method to assess sustainable development has reached its limitation to achieve sustainable social goals. System Dynamics (SD) is a valuable methodology that enhances understanding of the structure and internal dynamic behaviours of large, complex, and dynamic systems, leading to improved decision-making. It offers a philosophy and set of tools for modelling, analysing, and simulating dynamic systems. This research applied system dynamics methods in conjunction with simulation software to assess the potential impact of a solution on environmental, social, and economic aspects of a complex system, aims to gain insights into the system's behaviour and identify the potential consequences of interventions or policy changes across multiple dimensions. This paper responds to the urgent need for a new business model by presenting a concept for an adapted dynamic business modelling for sustainability (aDBMfS) using system dynamics. Case studies in the smartphone industry are applied.
Accurate monitoring of a patient's heart rate is a key element in the medical observation and health monitoring. In particular, its importance extends to the identification of sleep-related disorders. Various methods have been established that involve sensor-based recording of physiological signals followed by automated examination and analysis. This study attempts to evaluate the efficacy of a non-invasive HR monitoring framework based on an accelerometer sensor specifically during sleep. To achieve this goal, the motion induced by thoracic movements during cardiac contractions is captured by a device installed under the mattress. Signal filtering techniques and heart rate estimation using the symlets6 wavelet are part of the implemented computational framework described in this article. Subsequent analysis indicates the potential applicability of this system in the prognostic domain, with an average error margin of approximately 3 beats per minute. The results obtained represent a promising advancement in non-invasive heart rate monitoring during sleep, with potential implications for improved diagnosis and management of cardiovascular and sleep-related disorders.
This study investigates the application of Force Sensing Resistor (FSR) sensors and machine learning algorithms for non-invasive body position monitoring during sleep. Although reliable, traditional methods like Polysomnography (PSG) are invasive and unsuited for extended home-based monitoring. Our approach utilizes FSR sensors placed beneath the mattress to detect body positions effectively. We employed machine learning techniques, specifically Random Forest (RF), K-Nearest Neighbors (KNN), and XGBoost algorithms, to analyze the sensor data. The models were trained and tested using data from a controlled study with 15 subjects assuming various sleep positions. The performance of these models was evaluated based on accuracy and confusion matrices. The results indicate XGBoost as the most effective model for this application, followed by RF and KNN, offering promising avenues for home-based sleep monitoring systems.
This paper compares two popular scripting implementations for hardware prototyping: Python scripts exe- cut from User-Space and C-based Linux-Driver processes executed from Kernel-Space, which can provide information to researchers when considering one or another in their implementations. Conclusions exhibit that deploying software scripts in the kernel space makes it possible to grant a certain quality of sensor information using a Raspberry Pi without the need for advanced real-time operational systems.
The massive use of patient data for the training of artificial intelligence algorithms is common nowadays in medicine. In this scientific work, a statistical analysis of one of the most used datasets for the training of artificial intelligence models for the detection of sleep disorders is performed: sleep health heart study 2. This study focuses on determining whether the gender and age of the patients have a relevant influence to consider working with differentiated datasets based on these variables for the training of artificial intelligence models.
Unintrusive health monitoring systems is important when continuous monitoring of the patient vital signals is required. In this paper, signals obtained from accelerometers placed under a bed are processed with ballistocardiography algorithms and compared with synchronized electrocardiographic signals.
Im Investitionsgüterservice ist Wissen längst zu einem zentralen Erfolgshebel geworden, sowohl zur Steigerung der Prozesseffektivität und -effizienz als auch als Fundament für werthaltige Geschäftsmodelle. Das Management Service-relevanten Wissens ist für kleine und mittelständische Unternehmen der Investitionsgüterindustrie jedoch oftmals eine nicht zu unterschätzende Herausforderung, welche weit über IT-technische Aspekte hinausreicht. In dem vom BMBF sowie vom ESF (ko)finanzierten Projekt „SerWiss“ wurde vor diesem Hintergrund ein umfassender Lösungsansatz entwickelt und bei zwei Projektpartnern aus der Investitionsgüterindustrie prototypisch umgesetzt.
Der Kundenservice von morgen
(2023)
Die digitale Selbstbedienung im Einzelhandel und anderen Dienstleistungsbereichen verändert die Konsumwelt. Self-Services werden zunehmend von Konsumenten aller Altersklassen genutzt. Der Handel muss seine Servicekanäle hinterfragen und vermehrt auf Self-Service als Kundenkontaktpunkt setzen. Andere Branchen haben diesbezüglich bereits Lösungen umgesetzt. Vor diesem Hintergrund analysiert der Beitrag die Nutzung von Self-Service-Lösungen in Abhängigkeit von der Generationen-Zugehörigkeit und gibt Handlungsempfehlungen für KMU aus dem Einzelhandel.
Die durch KMU geprägte Investitionsgüterindustrie steht aufgrund der zunehmenden Internationalisierung im Servicegeschäft, Mitarbeiterengpässen, hohen Prozesskosten sowie fehlendem Wissensmanagment vor großen Herausforderungen. Durch die Digitalisierung entstehen große Nutzenpotenziale im Servicegeschäft. Vor diesem Hintergrund wurde ein auf den Methoden Intelligent Swarming und Knowledge Centered Service basierender, integrierter Ansatz entwickelt, der KMU aus der Investitionsgüterindustrie befähigt, Servicewissen effizient zu generieren, zu strukturieren und international zu vermarkten.
Service in der Investitionsgüterindustrie wird heutzutage in der Regel immer noch manuell und vor Ort beim Kunden ausgeführt. Dazu braucht es qualifizierte Service-Techniker:innen, die über das nötige Produkt- Prozesswissen verfügen. Für kleine und mittelständische Unternehmen (KMU) der Investitionsgüterindustrie stellt insbesondere die Internationalisierung eine Herausforderung dar, da qualifizierte Service-Techniker:innen eine rare Ressource sind. Es gilt sie möglichst effektiv und effizient einzusetzen. Zu diesem Zweck wurde im Rahmen des SerWiss-Projektes eine Lösung entwickelt, die es KMU ermöglicht, service-rele-
vantes Wissen effizient zu generieren, zu strukturieren und am Point-of-Service bereitzustellen sowie im Rahmen geeigneter Geschäftsmodelle zu vermarkten. Im Beitrawird erläutert, wie sich dieses erfasste Wissen als kundenorientiertes Wertangebot einsetzen und erlöswirksam in entsprechenden Geschäftsmodellen umsetzen lässt.
Background
This is a systematic review protocol to identify automated features, applied technologies, and algorithms in the electronic early warning/track and triage system (EW/TTS) developed to predict clinical deterioration (CD).
Methodology
This study will be conducted using PubMed, Scopus, and Web of Science databases to evaluate the features of EW/TTS in terms of their automated features, technologies, and algorithms. To this end, we will include any English articles reporting an EW/TTS without time limitation. Retrieved records will be independently screened by two authors and relevant data will be extracted from studies and abstracted for further analysis. The included articles will be evaluated independently using the JBI critical appraisal checklist by two researchers.
Discussion
This study is an effort to address the available automated features in the electronic version of the EW/TTS to shed light on the applied technologies, automated level of systems, and utilized algorithms in order to smooth the road toward the fully automated EW/TTS as one of the potential solutions of prevention CD and its adverse consequences.
Recognizing Human Activity of Daily Living Using a Flexible Wearable for 3D Spine Pose Tracking
(2023)
The World Health Organization recognizes physical activity as an influencing domain on quality of life. Monitoring, evaluating, and supervising it by wearable devices can contribute to the early detection and progress assessment of diseases such as Alzheimer’s, rehabilitation, and exercises in telehealth, as well as abrupt events such as a fall. In this work, we use a non-invasive and non-intrusive flexible wearable device for 3D spine pose measurement to monitor and classify physical activity. We develop a comprehensive protocol that consists of 10 indoor, 4 outdoor, and 8 transition states activities in three categories of static, dynamic, and transition in order to evaluate the applicability of the flexible wearable device in human activity recognition. We implement and compare the performance of three neural networks: long short-term memory (LSTM), convolutional neural network (CNN), and a hybrid model (CNN-LSTM). For ground truth, we use an accelerometer and strips data. LSTM reached an overall classification accuracy of 98% for all activities. The CNN model with accelerometer data delivered better performance in lying down (100%), static (standing = 82%, sitting = 75%), and dynamic (walking = 100%, running = 100%) positions. Data fusion improved the outputs in standing (92%) and sitting (94%), while LSTM with the strips data yielded a better performance in bending-related activities (bending forward = 49%, bending backward = 88%, bending right = 92%, and bending left = 100%), the combination of data fusion and principle components analysis further strengthened the output (bending forward = 100%, bending backward = 89%, bending right = 100%, and bending left = 100%). Moreover, the LSTM model detected the first transition state that is similar to fall with the accuracy of 84%. The results show that the wearable device can be used in a daily routine for activity monitoring, recognition, and exercise supervision, but still needs further improvement for fall detection.
Cardiovascular diseases (CVD) are leading contributors to global mortality, necessitating advanced methods for vital sign monitoring. Heart Rate Variability (HRV) and Respiratory Rate, key indicators of cardiovascular health, are traditionally monitored via Electrocardiogram (ECG). However, ECG's obtrusiveness limits its practicality, prompting the exploration of Ballistocardiography (BCG) as a non-invasive alternative. BCG records the mechanical activity of the body with each heartbeat, offering a contactless method for HRV monitoring. Despite its benefits, BCG signals are susceptible to external interference and present a challenge in accurately detecting J-Peaks. This research uses advanced signal processing and deep learning techniques to overcome these limitations. Our approach integrates accelerometers for long-term BCG data collection during sleep, applying Discrete Wavelet Transforms (DWT) and Ensemble Empirical Mode Decomposition (EEMD) for feature extraction. The Bi-LSTM model, leveraging these features, enhances heartbeat detection, offering improved reliability over traditional methods. The study's findings indicate that the combined use of DWT, EEMD, and Bi-LSTM for J-Peak detection in BCG signals is effective, with potential applications in unobtrusive long-term cardiovascular monitoring. Our results suggest that this methodology could contribute to HRV monitoring, particularly in home settings, enhancing patient comfort and compliance.
Die Kleinwasserkraft stand zuletzt zunehmend in der öffentlichen Kritik wegen des ökologischen Einflusses und der verhältnismäßigen geringen Stromerzeugung. Der vorliegende Beitrag beschreibt die Einschätzung von KWK-Betreibern zum Potenzial einer Effizienzsteigerung ihrer bestehenden Anlagen durch eine intelligente Informationsvernetzung innerhalb des Flusslaufes der Radolfzeller Aach im Süden Baden-Württembergs, um somit die Stromerzeugung der einzelnen Anlagen zu erhöhen.
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows
(2023)
The transition to a fully renewable energy grid requires better forecasting of demand at the low-voltage level to increase efficiency and ensure reliable control. However, high fluctuations and increasing electrification cause huge forecast variability, not reflected in traditional point estimates. Probabilistic load forecasts take uncertainties into account and thus allow more informed decision-making for the planning and operation of low-carbon energy systems. We propose an approach for flexible conditional density forecasting of short-term load based on Bernstein polynomial normalizing flows, where a neural network controls the parameters of the flow. In an empirical study with 3639 smart meter customers, our density predictions for 24h-ahead load forecasting compare favorably against Gaussian and Gaussian mixture densities. Furthermore, they outperform a non-parametric approach based on the pinball loss, especially in low-data scenarios.