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)
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.
Finding a good system topology with more than a handful of components is a
highly non-trivial task. The system needs to be able to fulfil all expected load cases, but at the
same time the components should interact in an energy-efficient way. An example for a system
design problem is the layout of the drinking water supply of a residential building. It may be
reasonable to choose a design of spatially distributed pumps which are connected by pipes in at
least two dimensions. This leads to a large variety of possible system topologies. To solve such
problems in a reasonable time frame, the nonlinear technical characteristics must be modelled
as simple as possible, while still achieving a sufficiently good representation of reality. The
aim of this paper is to compare the speed and reliability of a selection of leading mathematical
programming solvers on a set of varying model formulations. This gives us empirical evidence
on what combinations of model formulations and solver packages are the means of choice with the current state of the art.
Achieving the 17 Sustainable Development Goals (SDGs) set by the United Nations (UN) in 2015 requires global collaboration between different stakeholders. Industry, and in particular engineers who shape industrial developments, have a special role to play as they are confronted with the responsibility to holistically reflect sustainability in industrial processes. This means that, in addition to the technical specifications, engineers must also question the effects of their own actions on an ecological, economic and social level in order to ensure sustainable action and contribute to the achievement of the SDGs. However, this requires competencies that enable engineers to apply all three pillars of sustainability to their own field of activity and to understand the global impact of industrial processes. In this context, it is relevant to understand how industry already reflects sustainability and to identify competences needed for sustainable development.
This article introduces a new maritime search and rescue system based on S-band illumination harmonic radar (HR). Passive and active tags have been developed and tested attached to life jackets and a rescue boat. This system was able to detect and range the active tags up to a range of 5800 m in tests on the Baltic Sea with an antenna input power of only 100 W. All electronic GHz components of the system, excluding the S-band power amplifier, were custom developed for this purpose. Special attention is given to the performance and conceptual differences between passive and active tags used in the system and integration with a maritime X-band navigation radar is demonstrated.