Fachbereich Elektrotechnik und Informationstechnik
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (718)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (50)
- ECSM European Center for Sustainable Mobility (17)
- Fachbereich Maschinenbau und Mechatronik (4)
- Fachbereich Wirtschaftswissenschaften (2)
- Fachbereich Luft- und Raumfahrttechnik (1)
- IMP - Institut für Mikrowellen- und Plasmatechnik (1)
Language
- English (718) (remove)
Document Type
- Article (414)
- Conference Proceeding (234)
- Part of a Book (38)
- Book (23)
- Conference: Meeting Abstract (5)
- Patent (2)
- Conference Poster (1)
- Doctoral Thesis (1)
Keywords
- Enterprise Architecture (5)
- MINLP (5)
- Engineering optimization (4)
- Optimization (3)
- Powertrain (3)
- Technical Operations Research (3)
- Telecommunication (3)
- Competence Developing Games (2)
- Energy efficiency (2)
- Engineering education (2)
- Experimental validation (2)
- Gamification (2)
- Hot S-parameter (2)
- Machine Learning (2)
- Optimal Topology (2)
- Process engineering (2)
- Pump System (2)
- Robotic Process Automation (2)
- Serious Game (2)
- Ventilation System (2)
- Water (2)
- Water distribution system (2)
- autonomous driving (2)
- mathematical optimization (2)
- robotic process automation (2)
- 197m/gHg (1)
- 3-D printing (1)
- 3D object detection (1)
- Accuracy (1)
- Advanced driver assistance systems (ADAS/AD) (1)
- Agile development (1)
- Agility (1)
- Android (1)
- Angle Sensor (1)
- Anomaly detection (1)
- Artificial Intelligence (1)
- Automated driving (1)
- Automation (1)
- Automotive application (1)
- Autonomous mobile robots (1)
- Awareness (1)
- BEV (1)
- Benchmark (1)
- Bloom’s Taxonomy (1)
- Booster Stations (1)
- Buffering Capacity (1)
- Building Automation (1)
- Business Engineering (1)
- Business Process (1)
- CAV (1)
- CDG (1)
- CO2 (1)
- Carbon Dioxide (1)
- Cardiovascular Magnetic Resonance (1)
- Case Study (1)
- Case study (1)
- Chance Constraint (1)
- Change culture (1)
- Charging stations (1)
- Circuit simulation (1)
- Competence Developing Game (1)
- Computational modeling (1)
- Connected Automated Vehicle (1)
- Conpot (1)
- Control (1)
- Control engineering (1)
- Controller Parameter (1)
- Cooling system (1)
- Cryptographic protocols (1)
- Customer Orientation (1)
- DC machines (1)
- Data analysis (1)
- Data visualization (1)
- Datasets (1)
- Deep learning (1)
- Digital Age (1)
- Digital Twin Evolution (1)
- Digital transformation (1)
- Digital triage (1)
- Digital twin (1)
- Discrete Optimisation (1)
- Drinking Water Supply (1)
- E-carsharing (1)
- E-mobility (1)
- EGG (1)
- Education (1)
- Efficiency (1)
- Efficiency optimization (1)
- Electrocardiography (1)
- Electronic learning (1)
- Elicit (1)
- Energy (1)
- Energy Disaggregation (1)
- Engineering Application (1)
- Engineering optimisation (1)
- Enterprise architecture (1)
- Enterprise transformation (1)
- FPGA (1)
- Frequency Doubler (1)
- Fully connected car (1)
- Furnace (1)
- Fusion (1)
- Future Skills (1)
- GPU (1)
- Game-based learning (1)
- Gearbox (1)
- Global optimization (1)
- Gold nanoparticle (AuNP) (1)
- Graph Theory (1)
- Harmonic Radar (1)
- Heuristic algorithms (1)
- High field MRI (1)
- Home Assistant (1)
- Home Automation Platform (1)
- ICS (1)
- IP-based networks (1)
- ISO 26262 (1)
- IT security education (1)
- Image Database (1)
- Image Forensics (1)
- Image Quality Assessment (1)
- Image Quality Score (1)
- Implementation Case (1)
- Incremental Encoder (1)
- Inductive charging (1)
- Industrial optimisation (1)
- Industry 4.0 (1)
- Information and communication technology (1)
- Integrated mobility (1)
- Interactive process mining (1)
- Interdisciplinarity (1)
- Interval Time Series (1)
- Keyword analysis (1)
- LQR (1)
- Larynx position (1)
- Latin Hypercube Sampling (1)
- Leaderboard (1)
- Lean thinking (1)
- Level Control System (1)
- Li7La3Zr2O12 (1)
- LiDAR (1)
- LiGaO2 (1)
- Lidar (1)
- Literature review (1)
- Low voltage (1)
- MATLAB , MLPI , Motion control , Open Core , industrial drives , rapid control prototypin , sercos automation bus (1)
- MILP (1)
- MPC (1)
- MR safety (1)
- MRI (1)
- Machine learning (1)
- Magneto alert sensor (1)
- Malicious model (1)
- Manifolds (1)
- Map (eTOM) Process reference model Process design Telecommunications industry (1)
- Matlab (1)
- Meitner-Auger-electron (MAE) (1)
- Methodology (1)
- Minimum Risk Manoeuvre (1)
- Mixed Integer Programming (1)
- Mixed-Integer Nonlinear Optimisation (1)
- Mixed-integer nonlinear black-box optimization (1)
- Mixed-integer nonlinear problem (1)
- Mixed-integer nonlinear programming (1)
- Mixed-integer programming (1)
- Mobile Phones (1)
- Mobility management (1)
- Mode converter (1)
- Modeling (1)
- Monitoring (1)
- Mpc (1)
- Multi-criteria optimization (1)
- Multi-robot systems (1)
- NGN (1)
- Navigation (1)
- Network (1)
- Network design (1)
- Neural networks (1)
- Next Generation Network (1)
- OR 2019 (1)
- Objective data (1)
- Online services (1)
- Open Source (1)
- Operational Design Domain (1)
- Optimal Closed Loop (1)
- PPO (1)
- Paper recycling (1)
- Path-following (1)
- Performance (1)
- Personality (1)
- Piecewise Linearization (1)
- Piecewise linearization (1)
- Plasma (1)
- Plasma diagnostics (1)
- Player Types (1)
- Position Encoder (1)
- Power dissipation (1)
- Preface (1)
- Privacy-enhancing technologies (1)
- Process design (1)
- Process optimization (1)
- Process reference model (1)
- Process virtualization (1)
- Product bundling (1)
- Product family optimization (1)
- Prototype (1)
- Pumping systems (1)
- Quality control (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Radar (1)
- Reference Process Model (1)
- Reference modelling (1)
- Reinforcement Learning (1)
- Rescue System (1)
- Research process (1)
- Resilience (1)
- Resilience Assessment (1)
- Resilience assessment (1)
- Resilience metric graph theory (1)
- Resilient infrastructure (1)
- RoboCup (1)
- Robotic process automation (1)
- Rotary encoder (1)
- Rotational Encoder (1)
- Rotatory Inverted Pendulum (1)
- Safety of the intended functionality (SOTIF) (1)
- Safety-critical systems validation (1)
- Secure multi-party computation (1)
- Self-driving (1)
- Sensors comparison (1)
- Serious Games (1)
- Services (1)
- Similarity Theory (1)
- Smart Building (1)
- Smart factory (1)
- Society (1)
- Software (1)
- Software Robots (1)
- Software development (1)
- Software packages (1)
- Software testing (1)
- Solver Per- formance (1)
- Sound Pressure Level (1)
- Stochastic Programming (1)
- Story (1)
- Stress testing (1)
- Subject-oriented Business Process Management (1)
- Sustainability (1)
- Synchronous machines (1)
- System Design (1)
- System Design Problem (1)
- TGA (1)
- TM Forum (1)
- Tag (1)
- Targeted radionuclide therapy (TRT) (1)
- Teamwork (1)
- Technical Operation Research (1)
- Telecommunication Industry (1)
- Telecommunications Industry. (1)
- Text analytics (1)
- Text mining (1)
- Three-dimensional displays (1)
- Throughput (1)
- Time-series synchronization (1)
- Tomography (1)
- Training (1)
- Transdisciplinarity (1)
- Transfer impedance (1)
- Transformation (1)
- Transformation Project (1)
- Transformative Competencies (1)
- Transiton of Control (1)
- Transponder (1)
- Triage-app (1)
- Uktrahigh field MRI (1)
- Uncertainty (1)
- Urban areas (1)
- V2X (1)
- VOP compression (1)
- Validation (1)
- Video Game (1)
- Voice assessment (1)
- WLTP (1)
- Water Distribution (1)
- Water Supply Networks (1)
- Water Supply System (1)
- Water supply system (1)
- Wearable electronic device (1)
- Wiegand Effect (1)
- Wiegand sensor (1)
- Zero-knowledge proofs (1)
- active learning (1)
- agile (1)
- anticipation strategy (1)
- applications (1)
- artificial intelligence (1)
- automated vehicles (1)
- availability (1)
- batteries and fuel cells (1)
- body imaging at 7 T MRI (1)
- body imaging at UHF MRI (1)
- business analytics (1)
- business process automation (1)
- business simulation (1)
- commercial offthe- shelf solutions (1)
- competence developing games (1)
- connected automated vehicles (1)
- culpability (1)
- cybersecurity (1)
- decision analytics (1)
- design of technical systems (1)
- digital economy (1)
- do-it-yourself (1)
- eTOM (1)
- education (1)
- electrospinning (1)
- embedded hardware (1)
- energy efficiency (1)
- energy transfer (1)
- enhanced Telecom Operations Map (eTOM) (1)
- experimental evaluation (1)
- fault detection (1)
- fibers (1)
- ga-doping (1)
- garnet solid electrolyte (1)
- genetic algorithm (1)
- global optimization (1)
- harmonic radar (1)
- harmonic radar tags (1)
- heating system (1)
- honeynet (1)
- honeypot (1)
- ignition (1)
- information systems (1)
- integrated transmit coil arrays (1)
- irradiation (1)
- lab work (1)
- learning theories (1)
- legal obligations (1)
- liability (1)
- management (1)
- metrological characterization (1)
- microplasma (1)
- microwave (MW) plasma (1)
- microwave measurements (1)
- mixed-integer linear programming (1)
- model-predictive control (1)
- motivation theories (1)
- next generation network (1)
- nonlinear VNA measurements (1)
- optimization (1)
- passive inter-modulation (1)
- plasma jet (1)
- porous materials (1)
- power integrity (1)
- product bundling (1)
- product liability (1)
- professional skills (1)
- programming (1)
- remote sensing (1)
- requirements (1)
- research framework (1)
- resilience (1)
- sensor networks (1)
- signal integrity (1)
- slum classification (1)
- software engineering (1)
- software evaluation (1)
- software selection (1)
- solid-state battery (1)
- stochastic optimization (1)
- sustainability (1)
- system optimization (1)
- system synthesis (1)
- systematic literature review (1)
- tablet game (1)
- technical operations research (1)
- technology (1)
- telecommunication (1)
- thermal dose (1)
- tissue temperature (1)
- transmit antenna arrays (1)
- water supply design (1)
- water supply system (1)
Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.
In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.
Existing residential buildings have an average lifetime of 100 years. Many of these buildings will exist for at least another 50 years. To increase the efficiency of these buildings while keeping costs at reasonable rates, they can be retrofitted with sensors that deliver information to central control units for heating, ventilation and electricity. This retrofitting process should happen with minimal intervention into existing infrastructure and requires new approaches for sensor design and data transmission. At FH Aachen University of Applied Sciences, students of different disciplines work together to learn how to design, build, deploy and operate such sensors. The presented teaching project already created a low power design for a combined CO2, temperature and humidity measurement device that can be easily integrated into most home automation systems
With the growing interest in small distributed sensors for the “Internet of Things”, more attention is being paid to energy harvesting techologies. Reducing or eliminating the need for external power sources or batteries make devices more self-sufficient, more reliable, and reduces maintenance requirements. The Wiegand effect is a proven technology for harvesting small amounts of electrical power from mechanical motion.
This article describes an Internet of things (IoT) sensing device with a wireless interface which is powered by the energy-harvesting method of the Wiegand effect. The Wiegand effect, in contrast to continuous sources like photovoltaic or thermal harvesters, provides small amounts of energy discontinuously in pulsed mode. To enable an energy-self-sufficient operation of the sensing device with this pulsed energy source, the output energy of the Wiegand generator is maximized. This energy is used to power up the system and to acquire and process data like position, temperature or other resistively measurable quantities as well as transmit these data via an ultra-low-power ultra-wideband (UWB) data transmitter. A proof-of-concept system was built to prove the feasibility of the approach. The energy consumption of the system during start-up was analysed, traced back in detail to the individual components, compared to the generated energy and processed to identify further optimization options. Based on the proof of concept, an application prototype was developed.
In this study, the performance of an integrated body-imaging array for 7 T with 32 radiofrequency (RF) channels under consideration of local specific absorption rate (SAR), tissue temperature, and thermal dose limits was evaluated and the imaging performance was compared with a clinical 3 T body coil.
Thirty-two transmit elements were placed in three rings between the bore liner and RF shield of the gradient coil. Slice-selective RF pulse optimizations for B1 shimming and spokes were performed for differently oriented slices in the body under consideration of realistic constraints for power and local SAR. To improve the B1+ homogeneity, safety assessments based on temperature and thermal dose were performed to possibly allow for higher input power for the pulse optimization than permissible with SAR limits.
The results showed that using two spokes, the 7 T array outperformed the 3 T birdcage in all the considered regions of interest. However, a significantly higher SAR or lower duty cycle at 7 T is necessary in some cases to achieve similar B1+ homogeneity as at 3 T. The homogeneity in up to 50 cm-long coronal slices can particularly benefit from the high RF shim performance provided by the 32 RF channels. The thermal dose approach increases the allowable input power and the corresponding local SAR, in one example up to 100 W/kg, without limiting the exposure time necessary for an MR examination.
In conclusion, the integrated antenna array at 7 T enables a clinical workflow for body imaging and comparable imaging performance to a conventional 3 T clinical body coil.
Carbon nanofiber nonwovens represent a powerful class of materials with prospective application in filtration technology or as electrodes with high surface area in batteries, fuel cells, and supercapacitors. While new precursor-to-carbon conversion processes have been explored to overcome productivity restrictions for carbon fiber tows, alternatives for the two-step thermal conversion of polyacrylonitrile precursors into carbon fiber nonwovens are absent. In this work, we develop a continuous roll-to-roll stabilization process using an atmospheric pressure microwave plasma jet. We explore the influence of various plasma-jet parameters on the morphology of the nonwoven and compare the stabilized nonwoven to thermally stabilized samples using scanning electron microscopy, differential scanning calorimetry, and infrared spectroscopy. We show that stabilization with a non-equilibrium plasma-jet can be twice as productive as the conventional thermal stabilization in a convection furnace, while producing electrodes of comparable electrochemical performance.
Benchmarking of various LiDAR sensors for use in self-driving vehicles in real-world environments
(2022)
Abstract
In this paper, we report on our benchmark results of the LiDAR sensors Livox Horizon, Robosense M1, Blickfeld Cube, Blickfeld Cube Range, Velodyne Velarray H800, and Innoviz Pro. The idea was to test the sensors in different typical scenarios that were defined with real-world use cases in mind, in order to find a sensor that meet the requirements of self-driving vehicles. For this, we defined static and dynamic benchmark scenarios. In the static scenarios, both LiDAR and the detection target do not move during the measurement. In dynamic scenarios, the LiDAR sensor was mounted on the vehicle which was driving toward the detection target. We tested all mentioned LiDAR sensors in both scenarios, show the results regarding the detection accuracy of the targets, and discuss their usefulness for deployment in self-driving cars.
This paper describes the potential for developing a digital twin of society- a dynamic model that can be used to observe, analyze, and predict the evolution of various societal aspects. Such a digital twin can help governmental agencies and policy makers in interpreting trends, understanding challenges, and making decisions regarding investments or policies necessary to support societal development and ensure future prosperity. The paper reviews related work regarding the digital twin paradigm and its applications. The paper presents a motivating case study- an analysis of opportunities and challenges faced by the German federal employment agency, Bundesagentur f¨ur Arbeit (BA), proposes solutions using digital twins, and describes initial proofs of concept for such solutions.