Conference Proceeding
Refine
Year of publication
Institute
- Fachbereich Elektrotechnik und Informationstechnik (294) (remove)
Has Fulltext
- no (294) (remove)
Document Type
- Conference Proceeding (294) (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)
This article describes the functionality of a MATLAB® library that can be used to develop motion-logic applications in MATLAB programming language for industrial drive and control systems using the well known sercos automation bus. Therewith MATLAB's functionality is extended to designing automation applications from single axis machines up to multi-kinematic robots.
This paper introduces a hardware setup to measure efficiency maps of low-power electric motors and their associated inverters. Here, the power of the device under test (DUT) ranges from some Watts to a few hundred Watts. The torque and speed of the DUT are measured independent of voltage and current in multiple load points. A Matlab-based software approach in combination with an open Texas-Instruments (TI) hardware setup ensures flexibility. Exemplarily, the efficiency field of a Permanent Magnet Synchronous Machine (PMSM) is measured to proof the concept. Brushless-DC (BLDC) motors can be tested as well. The nomenclature in this paper is based on the new European standard DIN EN 50598. Special attention is paid to the calculation of the measurement error.
In this paper we present SMART-FACTORY, a setup for a research and teaching facility in industrial robotics that is based on the RoboCup Logistics League. It is driven by the need for developing and applying solutions for digital production. Digitization receives constantly increasing attention in many areas, especially in industry. The common theme is to make things smart by using intelligent computer technology. Especially in the last decade there have been many attempts to improve existing processes in factories, for example, in production logistics, also with deploying cyber-physical systems. An initiative that explores challenges and opportunities for robots in such a setting is the RoboCup Logistics League. Since its foundation in 2012 it is an international effort for research and education in an intra-warehouse logistics scenario. During seven years of competition a lot of knowledge and experience regarding autonomous robots was gained. This knowledge and experience shall provide the basis for further research in challenges of future production. The focus of our SMART-FACTORY is to create a stimulating environment for research on logistics robotics, for teaching activities in computer science and electrical engineering programmes as well as for industrial users to study and explore the feasibility of future technologies. Building on a very successful history in the RoboCup Logistics League we aim to provide stakeholders with a dedicated facility oriented at their individual needs.
Der Erfolg eines Softwarenentwicklungsprojektes insbesondere eines Systemintegrationsprojektes wird mit der Erfüllung des „Teufelsdreiecks“, „In-Time“, „In-Budget“, „In-Quality“ gemessen. Hierzu ist die Kenntnis der Software- und Prozessqualität essenziell, um die Einhaltung der Qualitätskriterien festzustellen, aber auch, um eine Vorhersage hinsichtlich Termin- und Budgettreue zu treffen. Zu diesem Zweck wurde in der T-Systems Systems Integration ein System aus verschiedenen Key Performance Indikatoren entworfen und in der Organisation implementiert, das genau das leistet und die Kriterien für CMMI Level 3 erfüllt.
This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.
In der Vergangenheit basierten große Systemintegrationsprojekte in der Regel auf Individualentwicklungen für einzelne Kunden. Getrieben durch Kostendruck steigt aber der Bedarf nach standardisierten Lösungen, die gleichzeitig die individuellen Anforderungen des jeweiligen Umfelds berücksichtigen. T-Systems GEI GmbH wird beiden Anforderungen mit Produktkerneln gerecht. Neben den technischen Aspekten der Kernelentwicklung spielen besonders organisatorische Aspekte eine Rolle, um Kernel effizient und qualitativ hochwertig zu entwickeln, ohne deren Funktionalitäten ins Uferlose wachsen zu lassen. Umgesetzt hat T-Systems dieses Konzept für Flughafeninformationssysteme. Damit kann dem wachsenden Bedarf der Flughafenbetreiber nach einer effizienten und kostengünstigen Softwarelösung zur Unterstützung Ihrer Geschäftsprozesse entsprochen werden.
This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.
Tool supported requirements analysis for the user centered development of mobile enterprise software
(2008)
A user centered development method has proved satisfactory for the development of mobile enterprise software. To make use of this method, detailed information about the user and the place where the user interacts with his mobile device is required. This article describes how both can be modeled by a stereotypical and conceptual extended UML extension. Finally, a software tool is presented that supports the developed UML extension.
Design and Development of a Hot S-Parameter Measurement System for Plasma and Magnetron Applications
(2020)
This paper presents the design, development and calibration procedures of a novel hot S-parameter measurement system for plasma and magnetron applications with power level up to 6 kW. Based on a vector network analyzer, a power amplifier and two directional couplers, the input matching hotS 11 and transmission hotS 21 of the device under test are measured at 2.45 GHz center frequency and 300MHz bandwidth, while the device is driven by the magnetron. This measurement system opens a new horizon to develop many new industrial applications such as microwave plasma jets, dryer systems, dryers and so forth. Furthermore, the developing, controlling and monitoring a 2kW 2.45GHz plasma jet and a dryer system using the measurement system are presented and explained.
Autonomous agents require rich environment models for fulfilling their missions. High-definition maps are a well-established map format which allows for representing semantic information besides the usual geometric information of the environment. These are, for instance, road shapes, road markings, traffic signs or barriers. The geometric resolution of HD maps can be as precise as of centimetre level. In this paper, we report on our approach of using HD maps as a map representation for autonomous load-haul-dump vehicles in open-pit mining operations. As the mine undergoes constant change, we also need to constantly update the map. Therefore, we follow a lifelong mapping approach for updating the HD maps based on camera-based object detection and GPS data. We show our mapping algorithm based on the Lanelet 2 map format and show our integration with the navigation stack of the Robot Operating System. We present experimental results on our lifelong mapping approach from a real open-pit mine.
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.
With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs.
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.