Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (228) (remove)
Has Fulltext
- no (228) (remove)
Language
- English (228) (remove)
Document Type
- Conference Proceeding (228) (remove)
Keywords
- Enterprise Architecture (5)
- Engineering education (2)
- Engineering optimization (2)
- MINLP (2)
- Machine Learning (2)
- Robotic Process Automation (2)
- Serious Game (2)
- Ventilation System (2)
- Water distribution system (2)
- autonomous driving (2)
- 3D object detection (1)
- Accuracy (1)
- Agile development (1)
- Agility (1)
- Android (1)
- Angle Sensor (1)
- Anomaly detection (1)
- Artificial Intelligence (1)
- Automation (1)
- Awareness (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 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)
- Digital Age (1)
- Digital Twin Evolution (1)
- Digital transformation (1)
- Digital triage (1)
- Digital twin (1)
- Discrete Optimisation (1)
- Drinking Water Supply (1)
- Education (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)
- Gamification (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)
- LQR (1)
- Latin Hypercube Sampling (1)
- LiDAR (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 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)
- 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)
- Smart Building (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)
- Tag (1)
- Teamwork (1)
- Technical Operations Research (1)
- Telecommunication (1)
- Telecommunication Industry (1)
- Telecommunications Industry. (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)
- V2X (1)
- Validation (1)
- Video Game (1)
- Water (1)
- Water Supply System (1)
- Water supply system (1)
- Wearable electronic device (1)
- Wiegand Effect (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)
- enhanced Telecom Operations Map (eTOM) (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)
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.
Many of today’s factors make software development more and more complex, such as time pressure, new technologies, IT security risks, et cetera. Thus, a good preparation of current as well as future software developers in terms of a good software engineering education becomes progressively important. As current research shows, Competence Developing Games (CDGs) and Serious Games can offer a potential solution.
This paper identifies the necessary requirements for CDGs to be conducive in principle, but especially in software engineering (SE) education. For this purpose, the current state of research was summarized in the context of a literature review. Afterwards, some of the identified requirements as well as some additional requirements were evaluated by a survey in terms of subjective relevance.
Smart pixel : photonic mixer device (PMD) ; new system concept of a 3D-imaging camera-on-a-chip
(1998)
In this paper, the use of reinforcement learning (RL) in control systems is investigated using a rotatory inverted pendulum as an example. The control behavior of an RL controller is compared to that of traditional LQR and MPC controllers. This is done by evaluating their behavior under optimal conditions, their disturbance behavior, their robustness and their development process. All the investigated controllers are developed using MATLAB and the Simulink simulation environment and later deployed to a real pendulum model powered by a Raspberry Pi. The RL algorithm used is Proximal Policy Optimization (PPO). The LQR controller exhibits an easy development process, an average to good control behavior and average to good robustness. A linear MPC controller could show excellent results under optimal operating conditions. However, when subjected to disturbances or deviations from the equilibrium point, it showed poor performance and sometimes instable behavior. Employing a nonlinear MPC Controller in real time was not possible due to the high computational effort involved. The RL controller exhibits by far the most versatile and robust control behavior. When operated in the simulation environment, it achieved a high control accuracy. When employed in the real system, however, it only shows average accuracy and a significantly greater performance loss compared to the simulation than the traditional controllers. With MATLAB, it is not yet possible to directly post-train the RL controller on the Raspberry Pi, which is an obstacle to the practical application of RL in a prototyping or teaching setting. Nevertheless, RL in general proves to be a flexible and powerful control method, which is well suited for complex or nonlinear systems where traditional controllers struggle.
In this article we describe an Internet-of-Things sensing device with a wireless interface which is powered by the oftenoverlooked harvesting method of the Wiegand effect. The sensor can determine position, temperature or other resistively measurable quantities and can transmit the data via an ultra-low power ultra-wideband (UWB) data transmitter. With this approach we can energy-self-sufficiently acquire, process, and wirelessly transmit data in a pulsed operation. A proof-of-concept system was built up to prove the feasibility of the approach. The energy consumption of the system is analyzed and 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 demonstrator was developed. Finally, we point out possible use cases.
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.