Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (718) (remove)
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)
This chapter describes three general strategies to master uncertainty in technical systems: robustness, flexibility and resilience. It builds on the previous chapters about methods to analyse and identify uncertainty and may rely on the availability of technologies for particular systems, such as active components. Robustness aims for the design of technical systems that are insensitive to anticipated uncertainties. Flexibility increases the ability of a system to work under different situations. Resilience extends this characteristic by requiring a given minimal functional performance, even after disturbances or failure of system components, and it may incorporate recovery. The three strategies are described and discussed in turn. Moreover, they are demonstrated on specific technical systems.
The course Physics for Electrical Engineering is part of the curriculum of the bachelor program Electrical Engineering at University of Applied Science Aachen.
Before covid-19 the course was conducted in a rather traditional way with all parts (lecture, exercise and lab) face-to-face. This teaching approach changed fundamentally within a week when the covid-19 limitations forced all courses to distance learning. All parts of the course were transformed to pure distance learning including synchronous and asynchronous parts for the lecture, live online-sessions for the exercises and self-paced labs at home. Using these methods, the course was able to impart the required knowledge and competencies. Taking the teacher’s observations of the student’s learning behaviour and engagement, the formal and informal feedback of the students and the results of the exams into account, the new methods are evaluated with respect to effectiveness, sustainability and suitability for competence transfer. Based on this analysis strong and weak points of the concept and countermeasures to solve the weak points were identified. The analysis further leads to a sustainable teaching approach combining synchronous and asynchronous parts with self-paced learning times that can be used in a very flexible manner for different learning scenarios, pure online, hybrid (mixture of online and presence times) and pure presence teaching.
The transition within transportation towards battery electric vehicles can lead to a more sustainable future. To account for the development goal ‘climate action’ stated by the United Nations, it is mandatory, within the conceptual design phase, to derive energy-efficient system designs. One barrier is the uncertainty of the driving behaviour within the usage phase. This uncertainty is often addressed by using a stochastic synthesis process to derive representative driving cycles and by using cycle-based optimization. To deal with this uncertainty, a new approach based on a stochastic optimization program is presented. This leads to an optimization model that is solved with an exact solver. It is compared to a system design approach based on driving cycles and a genetic algorithm solver. Both approaches are applied to find efficient electric powertrains with fixed-speed and multi-speed transmissions. Hence, the similarities, differences and respective advantages of each optimization procedure are discussed.
Meitner-Auger-electron emitters have a promising potential for targeted radionuclide therapy of cancer because of their short range and the high linear energy transfer of Meitner-Auger-electrons (MAE). One promising MAE candidate is 197m/gHg with its half-life of 23.8 h and 64.1 h, respectively, and high MAE yield. Gold nanoparticles (AuNPs) that are labelled with 197m/gHg could be a helpful tool for radiation treatment of glioblastoma multiforme when infused into the surgical cavity after resection to prevent recurrence. To produce such AuNPs, 197m/gHg was embedded into pristine AuNPs. Two different syntheses were tested starting from irradiated gold containing trace amounts of 197m/gHg. When sodium citrate was used as reducing agent, no 197m/gHg labelled AuNPs were formed, but with tannic acid, 197m/gHg labeled AuNPs were produced. The method was optimized by neutralizing the pH (pH = 7) of the Au/197m/gHg solution, which led to labelled AuNPs with a size of 12.3 ± 2.0 nm as measured by transmission electron microscopy. The labelled AuNPs had a concentration of 50 μg (gold)/mL with an activity of 151 ± 93 kBq/mL (197gHg, time corrected to the end of bombardment).
This paper describes the realization of a novel neurocomputer which is based on the concepts of a coprocessor. In contrast to existing neurocomputers the main interest was the realization of a scalable, flexible system, which is capable of computing neural networks of arbitrary topology and scale, with full independence of special hardware from the software's point of view. On the other hand, computational power should be added, whenever needed and flexibly adapted to the requirements of the application. Hardware independence is achieved by a run time system which is capable of using all available computing power, including multiple host CPUs and an arbitrary number of neural coprocessors autonomously. The realization of arbitrary neural topologies is provided through the implementation of the elementary operations which can be found in most neural topologies.
Control engineering theory is hard to grasp for undergraduates during the first semesters, as it deals with the dynamical behavior of systems also in combination with control strategies on an abstract level. Therefore, operational amplifier (OpAmp) processes are reasonable and very effective systems to connect mathematical description with actual system’s behavior. In this paper, we present an experiment for a laboratory session in which an embedded system, driven by a LabVIEW human machine interface (HMI) via USB, controls the analog circuits.With this setup we want to show the possibility of firstly, analyzing a first order process and secondly, designing a P-and PI-controller. Thereby, the theory of control engineering is always applied to the empirical results in order to break down the abstract level for the students.
Due to the increasing complexity of software projects, software development is becoming more and more dependent on teams. The quality of this teamwork can vary depending on the team composition, as teams are always a combination of different skills and personality types. This paper aims to answer the question of how to describe a software development team and what influence the personality of the team members has on the team dynamics. For this purpose, a systematic literature review (n=48) and a literature search with the AI research assistant Elicit (n=20) were conducted. Result: A person’s personality significantly shapes his or her thinking and actions, which in turn influences his or her behavior in software development teams. It has been shown that team performance and satisfaction can be strongly influenced by personality. The quality of communication and the likelihood of conflict can also be attributed to personality.
The overall energy efficiency of ventilation systems can be improved by considering not only single components, but by considering as well the interplay between every part of the system. With the help of the method "TOR" ("Technical Operations Research"), which was developed at the Chair of Fluid Systems at TU Darmstadt, it is possible to improve the energy efficiency of the whole system by considering all possible design choices programmatically. We show the ability of this systematic design approach with a ventilation system for buildings as a use case example.
Based on a Mixed-Integer Nonlinear Program (MINLP) we model the ventilation system. We use binary variables to model the selection of different pipe diameters. Multiple fans are model with the help of scaling laws. The whole system is represented by a graph, where the edges represent the pipes and fans and the nodes represents the source of air for cooling and the sinks, that have to be cooled. At the beginning, the human designer chooses a construction kit of different suitable fans and pipes of different diameters and different load cases. These boundary conditions define a variety of different possible system topologies. It is not possible to consider all topologies by hand. With the help of state of the art solvers, on the other side, it is possible to solve this MINLP.
Next to this, we also consider the effects of malfunctions in different components. Therefore, we show a first approach to measure the resilience of the shown example use case. Further, we compare the conventional approach with designs that are more resilient. These more resilient designs are derived by extending the before mentioned model with further constraints, that consider explicitly the resilience of the overall system. We show that it is possible to design resilient systems with this method already in the early design stage and compare the energy efficiency and resilience of these different system designs.
The continuously growing amount of renewable sources starts compromising the stability of electrical grids. Contradictory to fossil fuel power plants, energy production of wind and photovoltaic (PV) energy is fluctuating. Although predictions have significantly improved, an outage of multi-MW offshore wind farms poses a challenging problem. One solution could be the integration of storage systems in the grid. After a short overview, this paper focuses on two exemplary battery storage systems, including the required power electronics. The grid integration, as well as the optimal usage of volatile energy reserves, is presented for a 5- kW PV system for home application, as well as for a 100- MW medium-voltage system, intended for wind farm usage. The efficiency and cost of topologies are investigated as a key parameter for large-scale integration of renewable power at medium- and low-voltage.
The Carologistics team participates in the RoboCup Logistics League for the seventh year. The RCLL requires precise vision,
manipulation and path planning, as well as complex high-level decision
making and multi-robot coordination. We outline our approach with an
emphasis on recent modifications to those components.
The team members in 2018 are David Bosen, Christoph Gollok, Mostafa
Gomaa, Daniel Habering, Till Hofmann, Nicolas Limpert, Sebastian Schönitz,
Morian Sonnet, Carsten Stoffels, and Tarik Viehmann.
This paper is based on the last year’s team description.
Compared to peripheral pain, trigeminal pain elicits higher levels of fear, which is assumed to enhance the interruptive effects of pain on concomitant cognitive processes. In this fMRI study we examined the behavioral and neural effects of trigeminal (forehead) and peripheral (hand) pain on visual processing and memory encoding. Cerebral activity was measured in 23 healthy subjects performing a visual categorization task that was immediately followed by a surprise recognition task. During the categorization task subjects received concomitant noxious electrical stimulation on the forehead or hand. Our data show that fear ratings were significantly higher for trigeminal pain. Categorization and recognition performance did not differ between pictures that were presented with trigeminal and peripheral pain. However, object categorization in the presence of trigeminal pain was associated with stronger activity in task-relevant visual areas (lateral occipital complex, LOC), memory encoding areas (hippocampus and parahippocampus) and areas implicated in emotional processing (amygdala) compared to peripheral pain. Further, individual differences in neural activation between the trigeminal and the peripheral condition were positively related to differences in fear ratings between both conditions. Functional connectivity between amygdala and LOC was increased during trigeminal compared to peripheral painful stimulation. Fear-driven compensatory resource activation seems to be enhanced for trigeminal stimuli, presumably due to their exceptional biological relevance.
The double-LNN Calibration technique for scattering parameter measurements of microstrip devices
(1995)
This thesis introduces the Integrated Emitter Turn-Off (IETO) Thyristor as a new high-power device. Known state-of-the-art research activities like the Dual GCT, the ETO thyristor and the ICT were presented and critically reviewed. A comparison with commercialized solutions identifies the pros and cons of each type of device family. Based on this analysis, the IETO structure is proposed, covering most benefits of each device class. In particular the combination of a MOS-assisted turn-off with a thyristor-based device allows a voltage-controlled MOS switching and the low on-state voltage of the thyristors. The following synthesis of an IETO device stands on a three-dimensional field of optimization spanned by electric, mechanical and thermal aspects. From an electric point of view, the lowest possible parasitic inductance and resistance within the commutation path are optimization criteria. The mechanical construction has to withstand the required contact pressure of multiple kilo Newtons. Finally, thermal borders limit the maximum average current of the device. FEM simulations covering these three aspects are performed for several design proposals. An IETO prototype is constructed and measurements on various test benches attest thermal, mechanical and electric performance. A local decoupling of the external driver stage and the presspack housing is presented by a cable connection. This separation enables a thermal and mechanical independence, which is advantageous in terms of vibrations and thermal cycles including increased reliability. The electric pulse performance of the prototype device is a factor of 3.1 above today''s solutions. In single-pulse measurements, a current up to 1600 A was successfully turned off at 115°C with an active silicon area of 823 mm². One reason for this increased turn-off capability is the extremely low-inductive construction. Additional functionality of the IETO thyristor like over-current self-protection and defined short-circuit failure state are successfully verified.
The Inverted Rotary Pendulum: Facilitating Practical Teaching in Advanced Control Engineering
(2024)
This paper outlines a practical approach to teach control engineering principles, with an inverted rotary pendulum, serving as an illustrative example. It shows how the pendulum is embedded in an advanced course of control engineering. This approach is incorporated into a flipped-classroom concept, as well as classical teaching concepts, offering students practical experience in control engineering. In addition, the design of the pendulum is shown, using a Raspberry Pi as the target platform for Matlab Simulink. This pendulum can be used in the classroom to evaluate the controller design mentioned above. It is analysed if the use of the pendulum generates a deeper understanding of the learning contents.
The join of a geographical situation display system and a platform independent C2 information system
(2000)
Competence Developing Games (CDGs) are a new concept of how to think about games with serious intentions. In order to emphasize on this topic, a new framework has been developed. It basically relies on learning and motivation theories. This ‘motivational Competence Developing Game Framework’ demonstrates how it is possible to use these theories in a CDG development process. The theoretical derivation and use of the framework is explained in this paper.