Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (286) (remove)
Has Fulltext
- no (286) (remove)
Document Type
- Conference Proceeding (286) (remove)
Keywords
- Enterprise Architecture (5)
- Serious Game (3)
- Education (2)
- Engineering education (2)
- Engineering optimization (2)
- Gamification (2)
- MINLP (2)
- Machine Learning (2)
- Robotic Process Automation (2)
- Smart Building (2)
- Ventilation System (2)
- Water distribution system (2)
- autonomous driving (2)
- enhanced Telecom Operations Map (eTOM) (2)
- 3D object detection (1)
- Accuracy (1)
- Agile development (1)
- Agility (1)
- Android (1)
- Angle Sensor (1)
- Anomalieerkennung (1)
- Anomaly detection (1)
- Artificial Intelligence (1)
- Automation (1)
- Awareness (1)
- BIM (1)
- Bewertungsframework (1)
- Building Automation (1)
- Business Engineering (1)
- Business Process (1)
- CDG (1)
- CO2 (1)
- Carbon Dioxide (1)
- Case Study (1)
- Case study (1)
- Competence Developing Gam (1)
- Competence Developing Game (1)
- Competence Developing Games (1)
- Computational modeling (1)
- Connected Automated Vehicle (1)
- Conpot (1)
- Control (1)
- Control engineering (1)
- Cooling system (1)
- Cryptographic protocols (1)
- Customer Orientation (1)
- DC machines (1)
- Data analysis (1)
- Data visualization (1)
- Datasets (1)
- Deep learning (1)
- DiggiTwin (1)
- Digital Age (1)
- Digital Twin Evolution (1)
- Digital transformation (1)
- Digital triage (1)
- Digital twin (1)
- Digitale Transformation (1)
- Digitalisierung (1)
- Discrete Optimisation (1)
- Drinking Water Supply (1)
- Efficiency (1)
- Efficiency optimization (1)
- Electrocardiography (1)
- Electronic learning (1)
- Elicit (1)
- Energy (1)
- Energy Disaggregation (1)
- Energy efficiency (1)
- Engineering optimisation (1)
- Experimental validation (1)
- FPGA (1)
- Frequency Doubler (1)
- Future Skills (1)
- GPU (1)
- Geschäftsmodelle (1)
- Graph Theory (1)
- Harmonic Radar (1)
- Heuristic algorithms (1)
- Home Assistant (1)
- Home Automation Platform (1)
- ICS (1)
- Image Database (1)
- Image Forensics (1)
- Implementation Case (1)
- Incremental Encoder (1)
- Industrial optimisation (1)
- Interdisciplinarity (1)
- IoT (1)
- LQR (1)
- Latin Hypercube Sampling (1)
- LiDAR (1)
- Literatur-analyse-prozess (1)
- Literaturanalyse (1)
- Literaturdaten (1)
- Literature review (1)
- Low voltage (1)
- MATLAB , MLPI , Motion control , Open Core , industrial drives , rapid control prototypin , sercos automation bus (1)
- MPC (1)
- Malicious model (1)
- Manifolds (1)
- Map (eTOM) Process reference model Process design Telecommunications industry (1)
- Matlab (1)
- Minimum Risk Manoeuvre (1)
- Mixed-Integer Nonlinear Optimisation (1)
- Mixed-integer nonlinear programming (1)
- Mixed-integer programming (1)
- Mobile Phones (1)
- Monitoring (1)
- Mpc (1)
- Navigation (1)
- Network design (1)
- Neural networks (1)
- Next Generation Network (1)
- OR 2019 (1)
- Online services (1)
- Open Educational Resources (OER) (1)
- Open Source (1)
- Operational Design Domain (1)
- Optimal Topology (1)
- Optimization (1)
- PPO (1)
- Path-following (1)
- Performance (1)
- Personality (1)
- Piecewise Linearization (1)
- Piecewise linearization (1)
- Player Types (1)
- Position Encoder (1)
- Power dissipation (1)
- Powertrain (1)
- Preface (1)
- Privacy-enhancing technologies (1)
- Process design (1)
- Process engineering (1)
- Process optimization (1)
- Process reference model (1)
- Prototype (1)
- Pump System (1)
- Quality control (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Reference Process Model (1)
- Referenzmodellierung (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)
- Rotational Encoder (1)
- Rotatory Inverted Pendulum (1)
- Secure multi-party computation (1)
- Sensors comparison (1)
- Serious Games (1)
- Similarity Theory (1)
- Society (1)
- Software (1)
- Software Robots (1)
- Software packages (1)
- Solver Per- formance (1)
- Story (1)
- Stress testing (1)
- Subject-oriented Business Process Management (1)
- Sustainability (1)
- Synchronous machines (1)
- System Design Problem (1)
- TGA (1)
- TM Forum (1)
- Tag (1)
- Teamwork (1)
- Technical Operations Research (1)
- Telecommunication (1)
- Telecommunication Industry (1)
- Telecommunications Industry. (1)
- Text Analytics (1)
- Text analytics (1)
- Text mining (1)
- Three-dimensional displays (1)
- Throughput (1)
- Time-series synchronization (1)
- Training (1)
- Transdisciplinarity (1)
- Transformation Project (1)
- Transformative Competencies (1)
- Transiton of Control (1)
- Transponder (1)
- Triage-app (1)
- Unternehmensarchitektur (1)
- Unternehmensarchitekturen (1)
- Unternehmensarchitekturen Internet der Dinge (1)
- Unternehmenstransformation (1)
- V2X (1)
- Validation (1)
- Video Game (1)
- Water (1)
- Water Supply System (1)
- Water supply system (1)
- Wearable electronic device (1)
- Wertschöpfungskettenanalyse (1)
- WiLMo (1)
- Wiegand Effect (1)
- Wirtschaftsinformatik (1)
- Wissenstransfer (1)
- Zero-knowledge proofs (1)
- active learning (1)
- agile (1)
- anticipation strategy (1)
- business analytics (1)
- business simulation (1)
- competence developing games (1)
- cybersecurity (1)
- decision analytics (1)
- digital economy (1)
- do-it-yourself (1)
- eTOM (1)
- education (1)
- embedded hardware (1)
- fault detection (1)
- honeynet (1)
- honeypot (1)
- information systems (1)
- lab work (1)
- learning theories (1)
- mathematical optimization (1)
- metrological characterization (1)
- model-predictive control (1)
- motivation theories (1)
- passive inter-modulation (1)
- power integrity (1)
- professional skills (1)
- requirements (1)
- sensor networks (1)
- signal integrity (1)
- software engineering (1)
- systematic literature review (1)
- tablet game (1)
- water supply system (1)
- Überwachung & Optimierung (1)
The Volatility Framework is a collection of tools for the analysis of computer RAM. The framework offers a multitude of analysis options and is used by many investigators worldwide. Volatility currently comes with a command line interface only, which might be a hinderer for some investigators to use the tool. In this paper we present a GUI and extensions for the Volatility Framework, which on the one hand simplify the usage of the tool and on the other hand offer additional functionality like storage of results in a database, shortcuts for long Volatility Framework command sequences, and entirely new commands based on correlation of data stored in the database.
Time-of-flight (ToF) sensors have become an alternative to conventional distance sensing techniques like laser scanners or image based stereo. ToF sensors provide full range distance information at high frame-rates and thus have a significant impact onto current research in areas like online object recognition, collision prevention or scene reconstruction. However, ToF cameras like the photonic mixer device (PMD) still exhibit a number of challenges regarding static and dynamic effects, e.g. systematic distance errors and motion artefacts, respectively. Sensor calibration techniques reducing static system errors have been proposed and show promising results. However, current calibration techniques in general need a large set of reference data in order to determine the corresponding parameters for the calibration model. This paper introduces a new calibration approach which combines different demodulation techniques for the ToF- camera 's reference signal. Examples show, that the resulting combined demodulation technique yields improved distance values based on only two required reference data sets.
To maximize the travel distances of battery electric vehicles such as cars or buses for a given amount of stored energy, their powertrains are optimized energetically. One key part within optimization models for electric powertrains is the efficiency map of the electric motor. The underlying function is usually highly nonlinear and nonconvex and leads to major challenges within a global optimization process. To enable faster solution times, one possibility is the usage of piecewise linearization techniques to approximate the nonlinear efficiency map with linear constraints. Therefore, we evaluate the influence of different piecewise linearization modeling techniques on the overall solution process and compare the solution time and accuracy for methods with and without explicitly used binary variables.
The development of resilient technical systems is a challenging task, as the system should adapt automatically to unknown disturbances and component failures. To evaluate different approaches for deriving resilient technical system designs, we developed a modular test rig that is based on a pumping system. On the basis of this example
system, we present metrics to quantify resilience and an algorithmic approach to improve resilience. This approach enables the pumping system to automatically react on unknown disturbances and to reduce the impact of component failures. In this case, the system is able to automatically adapt its topology by activating additional valves. This enables the system to still reach a minimum performance, even in case of failures. Furthermore, timedependent disturbances are evaluated continuously, deviations from the original state are automatically detected and anticipated in the future. This allows to reduce the impact of future disturbances and leads to a more resilient
system behaviour.
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.
To increase pressure to supply all floors of high buildings with water, booster stations, normally consisting of several parallel pumps in the basement, are used. In this work, we demonstrate the potential of a decentralized pump topology regarding energy savings in water supply systems of skyscrapers. We present an approach, based on Mixed-Integer Nonlinear Programming, that allows to choose an optimal network topology and optimal pumps from a predefined construction kit comprising different pump types. Using domain-specific scaling laws and Latin Hypercube Sampling, we generate different input sets of pump types and compare their impact on the efficiency and cost of the total system design. As a realistic application example, we consider a hotel building with 325 rooms, 12 floors and up to four pressure zones.
KNX is a protocol for smart building automation, e.g., for automated heating, air conditioning, or lighting. This paper analyses and evaluates state-of-the-art KNX devices from manufacturers Merten, Gira and Siemens with respect to security. On the one hand, it is investigated if publicly known vulnerabilities like insecure storage of passwords in software, unencrypted communication, or denialof-service attacks, can be reproduced in new devices. On the other hand, the security is analyzed in general, leading to the discovery of a previously unknown and high risk vulnerability related to so-called BCU (authentication) keys.
This paper introduces a Competence Developing Game (CDG) for the purpose of a cybersecurity awareness training for businesses. The target audience will be discussed in detail to understand their requirements. It will be explained why and how a mix of business simulation and serious game meets these stakeholder requirements. It will be shown that a tablet and touchscreen based approach is the most suitable solution. In addition, an empirical study will be briefly presented. The study was carried out to examine how an interaction system for a 3D-tablet based CDG has to be designed, to be manageable for non-game experienced employees. Furthermore, it will be explained which serious content is necessary for a Cybersecurity awareness training CDG and how this content is wrapped in the game
During the development of a Competence Developing Game’s (CDG) story it is indispensable to understand the target audience. Thereby, CDGs stories represent more than just the plot. The Story is about the
Setting, the Characters and the Plot. As a toolkit to support the
development of such a story, this paper introduces the UserFocused Storybuilding (short UFoS) Framework for CDGs. The Framework and its utilization will be explained, followed by a description of its development and derivation, including an empirical study. In addition, to simplify the Framework use regarding the CDG’s target audience, a new concept of Nine Psychographic Player Types will be explained. This concept of Player Types provides an approach to handle the differences in between players during the UFoS Framework use. Thereby,
this article presents a unique approach to the development of
target group-differentiated CDGs stories.
In diesem Paper wird die Entwicklung und Evaluation eines grafischen Regeleditors für das Erstellen von „Smart Living Environments“-Services vorgestellt. Dafür werden zunächst die Deduktion und Implementierung des grafischen Regeleditors erläutert. Anschließend wird eine Probandenstudie vorgestellt, in welcher der Mehrwert bezogen auf die Aspekte Zeit, Fehleranfälligkeit und Gebrauchstauglichkeit festgestellt wird.
This paper serves as an introduction to the ECTS monitoring system and its potential applications in higher education. It also emphasizes the potential for ECTS monitoring to become a proactive system, supporting students by predicting academic success and identifying groups of potential dropouts for tailored support services. The use of the nearest neighbor analysis is suggested for improving data analysis and prediction accuracy.