TY  - CHAP
A1  - Hoegen, Anne von
A1  - Doncker, Rik W. De
A1  - Rütters, René
T1  - Teaching Digital Control of Operational Amplifier Processes with a LabVIEW Interface and Embedded Hardware
T2  - 2020 23rd International Conference on Electrical Machines and Systems (ICEMS)
N2  - 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.
Y1  - 2020
U6  - https://doi.org/10.23919/ICEMS50442.2020.9290928
N1  - 23rd International Conference on Electrical Machines and Systems (ICEMS), 24-27 November 2020, Hamamatsu, Japan
SP  - 1117
EP  - 1122
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Elgamal, Abdelrahman
A1  - Heuermann, Holger
T1  - Design and Development of a Hot S-Parameter Measurement System for Plasma and Magnetron Applications
T2  - Proceedings of the 2020 German Microwave Conference
N2  - 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.
Y1  - 2020
SN  - 978-3-9820397-1-8
N1  - 13th German Microwave Conference 2020, March 09–11, Cottbus
SP  - 124
EP  - 127
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Reke, Michael
A1  - Peter, Daniel
A1  - Schulte-Tigges, Joschua
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Walter, Thomas
A1  - Matheis, Dominik
T1  - A Self-Driving Car Architecture in ROS2
T2  - 2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa
N2  - In this paper we report on an architecture for a self-driving car that is based on ROS2. Self-driving cars have to take decisions based on their sensory input in real-time, providing high reliability with a strong demand in functional safety. In principle, self-driving cars are robots. However, typical robot software, in general, and the previous version of the Robot Operating System (ROS), in particular, does not always meet these requirements. With the successor ROS2 the situation has changed and it might be considered as a solution for automated and autonomous driving. Existing robotic software based on ROS was not ready for safety critical applications like self-driving cars. We propose an architecture for using ROS2 for a self-driving car that enables safe and reliable real-time behaviour, but keeping the advantages of ROS such as a distributed architecture and standardised message types. First experiments with an automated real passenger car at lower and higher speed-levels show that our approach seems feasible for autonomous driving under the necessary real-time conditions.
Y1  - 2020
SN  - 978-1-7281-4162-6
U6  - https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041020
N1  - 2020 International SAUPEC/RobMech/PRASA Conference, 29-31 Jan. 2020, Cape Town, South Africa
SP  - 1
EP  - 6
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Eltester, Niklas Sebastian
A1  - Ferrein, Alexander
A1  - Schiffer, Stefan
T1  - A smart factory setup based on the RoboCup logistics league
T2  - 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)
N2  - 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.
Y1  - 2020
U6  - https://doi.org/10.1109/ICPS48405.2020.9274766
N1  - 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), 10-12 June 2020, Tampere, Finland.
SP  - 297
EP  - 302
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Hoegen, Anne von
A1  - Doncker, Rik W. De
A1  - Bragard, Michael
A1  - Hoegen, Svenja von
T1  - Problem-based learning in automation engineering: performing a remote laboratory aession aerving various educational attainments
T2  - 2021 IEEE Global Engineering Education Conference (EDUCON)
N2  - During the Covid-19 pandemic, vocational colleges, universities of applied science and technical universities often had to cancel laboratory sessions requiring students’ attendance. These above of all are of decisive importance in order to give learners an understanding of theory through practical work.This paper is a contribution to the implementation of distance learning for laboratory work applicable for several upper secondary educational facilities. Its aim is to provide a paradigm for hybrid teaching to analyze and control a non-linear system depicted by a tank model. For this reason, we redesign a full series of laboratory sessions on the basis of various challenges. Thus, it is suitable to serve different reference levels of the European Qualifications Framework (EQF).We present problem-based learning through online platforms to compensate the lack of a laboratory learning environment. With a task deduced from their future profession, we give students the opportunity to develop own solutions in self-defined time intervals. A requirements specification provides the framework conditions in terms of time and content for students having to deal with the challenges of the project in a self-organized manner with regard to inhomogeneous previous knowledge. If the concept of Complete Action is introduced in classes before, they will automatically apply it while executing the project.The goal is to combine students’ scientific understanding with a procedural knowledge. We suggest a series of remote laboratory sessions that combine a problem formulation from the subject area of Measurement, Control and Automation Technology with a project assignment that is common in industry by providing extracts from a requirements specification.
Y1  - 2021
U6  - https://doi.org/10.1109/EDUCON46332.2021.9453925
N1  - 2021 IEEE Global Engineering Education Conference (EDUCON), 21-23 April 2021, Vienna, Austria
SP  - 1605
EP  - 1614
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Hüning, Felix
A1  - Stüttgen, Marcel
T1  - Work in Progress: Interdisciplinary projects in times of COVID-19 crisis – challenges, risks and chances
T2  - 2021 IEEE Global Engineering Education Conference (EDUCON)
N2  - Project work and inter disciplinarity are integral parts of today's engineering work. It is therefore important to incorporate these aspects into the curriculum of academic studies of engineering. At the faculty of Electrical Engineering and Information Technology an interdisciplinary project is part of the bachelor program to address these topics. Since the summer term 2020 most courses changed to online mode during the Covid-19 crisis including the interdisciplinary projects. This online mode introduces additional challenges to the execution of the projects, both for the students as well as for the lecture. The challenges, but also the risks and chances of this kind of project courses are subject of this paper, based on five different interdisciplinary projects
Y1  - 2021
U6  - https://doi.org/10.1109/EDUCON46332.2021.9454006
N1  - 2021 IEEE Global Engineering Education Conference (EDUCON), 21-23 April 2021, Vienna, Austria
SP  - 1175
EP  - 1179
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Hüning, Felix
T1  - Sustainable changes beyond covid-19 for a second semester physics course for electrical engineering students
T2  - Blended Learning in Engineering Education: challenging, enlightening – and lasting?
N2  - 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.
Y1  - 2021
SN  - 978-2-87352-023-6
N1  - SEFI 49th Annual Conference, Technische Universität Berlin (online), 13 – 16 September 2021
SP  - 1424
EP  - 1428
ER  - 
TY  - CHAP
A1  - Nikolovski, Gjorgji
A1  - Reke, Michael
A1  - Elsen, Ingo
A1  - Schiffer, Stefan
T1  - Machine learning based 3D object detection for navigation in unstructured environments
T2  - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)
N2  - In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine.
KW  - 3D object detection
KW  - LiDAR
KW  - autonomous driving
KW  - Deep learning
KW  - Three-dimensional displays
Y1  - 2021
SN  - 978-1-6654-7921-9
U6  - https://doi.org/10.1109/IVWorkshops54471.2021.9669218
N1  - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 11-17 July 2021,  Nagoya, Japan.
SP  - 236
EP  - 242
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Ritschel, Konstantin
A1  - Stenzel, Adina
A1  - Czarnecki, Christian
A1  - Hong, Chin-Gi
ED  - Gesellschaft für Informatik e.V. (GI), 
T1  - Realizing robotic process automation potentials: an architectural perspective on a real-life implementation case
T2  - GI Edition Proceedings Band 314 "INFORMATIK 2021" Computer Science & Sustainability
N2  - The initial idea of Robotic Process Automation (RPA) is the automation of business processes through a simple emulation of user input and output by software robots. Hence, it can be assumed that no changes of the used software systems and existing Enterprise Architecture (EA) is
required. In this short, practical paper we discuss this assumption based on a real-life implementation project. We show that a successful RPA implementation might require architectural work during analysis, implementation, and migration. As practical paper we focus on exemplary lessons-learned and new questions related to RPA and EA.
KW  - Robotic Process Automation
KW  - Enterprise Architecture
KW  - Implementation Case
Y1  - 2021
SN  - 9783885797081
U6  - https://doi.org/10.18420/informatik2021-108
SN  - 1617-5468
N1  - INFORMATIK 2021 – 51. Jahrestagung der Gesellschaft für Informatik, 27. September – 01. Oktober 2021 / Virtuell
SP  - 1303
EP  - 1311
PB  - Köllen
CY  - Bonn
ER  - 
TY  - CHAP
A1  - Müller, Tim M.
A1  - Schmitt, Andreas
A1  - Leise, Philipp
A1  - Meck, Tobias
A1  - Altherr, Lena
A1  - Pelz, Peter F.
A1  - Pfetsch, Marc E.
T1  - Validation of an optimized resilient water supply system
T2  - Uncertainty in Mechanical Engineering
N2  - Component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems.
KW  - Optimization
KW  - Mixed-integer nonlinear programming
KW  - Water distribution system
KW  - Resilience
KW  - Validation
Y1  - 2021
SN  - 978-3-030-77255-0
SN  - 978-3-030-77256-7
U6  - https://doi.org/10.1007/978-3-030-77256-7_7
N1  - Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7–8, 2021
SP  - 70
EP  - 80
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Hüning, Felix
A1  - Wache, Franz-Josef
A1  - Magiera, David
T1  - Redundant bus systems using dual-mode radio
T2  - Proceedings of Sixth International Congress on Information and Communication Technology
N2  - Communication via serial bus systems, like CAN, plays an important role for all kinds of embedded electronic and mechatronic systems. To cope up with the requirements for functional safety of safety-critical applications, there is a need to enhance the safety features of the communication systems. One measure to achieve a more robust communication is to add redundant data transmission path to the applications. In general, the communication of real-time embedded systems like automotive applications is tethered, and the redundant data transmission lines are also tethered, increasing the size of the wiring harness and the weight of the system. A radio link is preferred as a redundant transmission line as it uses a complementary transmission medium compared to the wired solution and in addition reduces wiring harness size and weight. Standard wireless links like Wi-Fi or Bluetooth cannot meet the requirements for real-time capability with regard to bus communication. Using the new dual-mode radio enables a redundant transmission line meeting all requirements with regard to real-time capability, robustness and transparency for the data bus. In addition, it provides a complementary transmission medium with regard to commonly used tethered links. A CAN bus system is used to demonstrate the redundant data transfer via tethered and wireless CAN.
Y1  - 2021
SN  - 978-981-16-2379-0
SN  - 978-981-16-2380-6
U6  - https://doi.org/10.1007/978-981-16-2380-6_73
N1  - Sixth International Congress on Information and Communication Technology, ICICT 2021, Brunel University, London, February 25–26, 2021
SP  - 835
EP  - 842
PB  - Springer
CY  - Singapore
ER  - 
TY  - CHAP
A1  - Dey, Thomas
A1  - Elsen, Ingo
A1  - Ferrein, Alexander
A1  - Frauenrath, Tobias
A1  - Reke, Michael
A1  - Schiffer, Stefan
ED  - Makedon, Fillia
T1  - CO2 Meter: a do-it-yourself carbon dioxide measuring device for the classroom
T2  - PETRA '21: Proceedings of the 14th Pervasive Technologies Related to Assistive Environments Conference
N2  - 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.
KW  - embedded hardware
KW  - sensor networks
KW  - information systems
KW  - education
KW  - do-it-yourself
Y1  - 2021
SN  - 9781450387927
U6  - https://doi.org/10.1145/3453892.3462697
N1  - PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference Corfu Greece 29 June 2021- 2 July 2021
SP  - 292
EP  - 299
PB  - Association for Computing Machinery
CY  - New York
ER  - 
TY  - CHAP
A1  - Chajan, Eduard
A1  - Schulte-Tigges, Joschua
A1  - Reke, Michael
A1  - Ferrein, Alexander
A1  - Matheis, Dominik
A1  - Walter, Thomas
T1  - GPU based model-predictive path control for self-driving vehicles
T2  - IEEE Intelligent Vehicles Symposium (IV)
N2  - One central challenge for self-driving cars is a proper path-planning. Once a trajectory has been found, the next challenge is to accurately and safely follow the precalculated path. The model-predictive controller (MPC) is a common approach for the lateral control of autonomous vehicles. The MPC uses a vehicle dynamics model to predict the future states of the vehicle for a given prediction horizon. However, in order to achieve real-time path control, the computational load is usually large, which leads to short prediction horizons. To deal with the computational load, the control algorithm can be parallelized on the graphics processing unit (GPU). In contrast to the widely used stochastic methods, in this paper we propose a deterministic approach based on grid search. Our approach focuses on systematically discovering the search area with different levels of granularity. To achieve this, we split the optimization algorithm into multiple iterations. The best sequence of each iteration is then used as an initial solution to the next iteration. The granularity increases, resulting in smooth and predictable steering angle sequences. We present a novel GPU-based algorithm and show its accuracy and realtime abilities with a number of real-world experiments.
KW  - Heuristic algorithms
KW  - Computational modeling
KW  - model-predictive control
KW  - GPU
KW  - autonomous driving
Y1  - 2021
SN  - 978-1-7281-5394-0
U6  - https://doi.org/10.1109/IV48863.2021.9575619
N1  - 2021 IEEE Intelligent Vehicles Symposium (IV), July 11-17, 2021. Nagoya, Japan
SP  - 1243
EP  - 1248
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Meeßen, Marcus
A1  - Limpert, Nicolas
A1  - Schiffer, Stefan
ED  - Lepuschitz, Wilfried
T1  - Compiling ROS schooling curricula via contentual taxonomies
T2  - Robotics in Education
N2  - The Robot Operating System (ROS) is the current de-facto standard in robot middlewares. The steadily increasing size of the user base results in a greater demand for training as well. User groups range from students in academia to industry professionals with a broad spectrum of developers in between. To deliver high quality training and education to any of these audiences, educators need to tailor individual curricula for any such training. In this paper, we present an approach to ease compiling curricula for ROS trainings based on a taxonomy of the teaching contents. The instructor can select a set of dedicated learning units and the system will automatically compile the teaching material based on the dependencies of the units selected and a set of parameters for a particular training. We walk through an example training to illustrate our work.
Y1  - 2021
SN  - 978-3-030-67411-3
U6  - https://doi.org/10.1007/978-3-030-67411-3_5
N1  - RiE: International Conference on Robotics in Education (RiE);
Advances in Intelligent Systems and Computing book series (AISC, volume 1316)
SP  - 49
EP  - 60
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Heuermann, Holger
A1  - Harzheim, Thomas
A1  - Mühmel, Marc
T1  - A maritime harmonic radar search and rescue system using passive and active tags
T2  - 2020 17th European Radar Conference (EuRAD)
N2  - 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.
KW  - Harmonic Radar
KW  - Rescue System
KW  - Frequency Doubler
KW  - Transponder
KW  - Tag
Y1  - 2021
SN  - 978-2-87487-061-3
U6  - https://doi.org/10.1109/EuRAD48048.2021.00030
N1  - 17th European Radar Conference, 13th - 15th January 2021, Utrecht, Netherlands
SP  - 73
EP  - 76
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Allal, D.
A1  - Bannister, R.
A1  - Buisman, K.
A1  - Capriglione, D.
A1  - Di Capua, G.
A1  - García-Patrón, M.
A1  - Gatzweiler, Thomas
A1  - Gellersen, F.
A1  - Harzheim, Thomas
A1  - Heuermann, Holger
A1  - Hoffmann, J.
A1  - Izbrodin, A.
A1  - Kuhlmann, K.
A1  - Lahbacha, K.
A1  - Maffucci, A.
A1  - Miele, G.
A1  - Mubarak, F.
A1  - Salter, M.
A1  - Pham, T.D.
A1  - Sayegh, A.
A1  - Singh, D.
A1  - Stein, F.
A1  - Zeier, M.
T1  - RF measurements for future communication applications: an overview
T2  - 2022 IEEE International Symposium on Measurements & Networking (M&N)
N2  - In this paper research activities developed within the FutureCom project are presented. The project, funded by the European Metrology Programme for Innovation and Research (EMPIR), aims at evaluating and characterizing: (i) active devices, (ii) signal- and power integrity of field programmable gate array (FPGA) circuits, (iii) operational performance of electronic circuits in real-world and harsh environments (e.g. below and above ambient temperatures and at different levels of humidity), (iv) passive inter-modulation (PIM) in communication systems considering different values of temperature and humidity corresponding to the typical operating conditions that we can experience in real-world scenarios. An overview of the FutureCom project is provided here, then the research activities are described.
KW  - FPGA
KW  - signal integrity
KW  - power integrity
KW  - passive inter-modulation
KW  - metrological characterization
Y1  - 2022
SN  - 978-1-6654-8362-9
SN  - 978-1-6654-8363-6
U6  - https://doi.org/10.1109/MN55117.2022.9887740
SN  - 2639-5061
SN  - 2639-507X
N1  - 2022 IEEE International Symposium on Measurements & Networking (M&N), 18-20 July 2022, Padua, Italy.
SP  - 1
EP  - 6
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Ostkotte, Sebastian
A1  - Peters, Constantin
A1  - Hüning, Felix
A1  - Bragard, Michael
T1  - Design, implementation and verification of an rotational incremental position encoder based on the magnetic Wiegand effect
T2  - 2022 ELEKTRO (ELEKTRO)
N2  - This paper covers the use of the magnetic Wiegand effect to design an innovative incremental encoder. First, a theoretical design is given, followed by an estimation of the achievable accuracy and an optimization in open-loop operation.
Finally, a successful experimental verification is presented. For this purpose, a permanent magnet synchronous machine is controlled in a field-oriented manner, using the angle information of the prototype.
KW  - Position Encoder
KW  - Rotational Encoder
KW  - Wiegand Effect
KW  - Angle Sensor
KW  - Incremental Encoder
Y1  - 2022
SN  - 978-1-6654-6726-1
SN  - 978-1-6654-6727-8
U6  - https://doi.org/10.1109/ELEKTRO53996.2022.9803477
SN  - 2691-0616
N1  - 2022 ELEKTRO (ELEKTRO), 23-26 Mai 2022, Krakow, Poland.
PB  - IEEE
ER  - 
TY  - CHAP
A1  - Amir, Malik
A1  - Bauckhage, Christian
A1  - Chircu, Alina
A1  - Czarnecki, Christian
A1  - Knopf, Christian
A1  - Piatkowski, Nico
A1  - Sultanow, Eldar
T1  - What can we expect from quantum (digital) twins?
T2  - Wirtschaftsinformatik 2022 Proceedings
N2  - Digital twins enable the modeling and simulation of real-world entities (objects, processes or systems), resulting in improvements in the associated value chains. The emerging field of quantum computing holds tremendous promise forevolving this virtualization towards Quantum (Digital) Twins (QDT) and ultimately Quantum Twins (QT). The quantum (digital) twin concept is not a contradiction in terms - but instead describes a hybrid approach that can be implemented using the technologies available today by combining classicalcomputing and digital twin concepts with quantum processing. This paperpresents the status quo of research and practice on quantum (digital) twins. It alsodiscuses their potential to create competitive advantage through real-timesimulation of highly complex, interconnected entities that helps companies better
address changes in their environment and differentiate their products andservices.
KW  - Artificial Intelligence
KW  - Digital Twin Evolution
KW  - Machine Learning
KW  - Quantum Computing
KW  - Quantum Machine Learning
Y1  - 2022
N1  - 17. Internationale Tagung Wirtschaftsinformatik, 21. – 23. Februar 2022, Nürnberg (online)
SP  - 1
EP  - 14
PB  - AIS Electronic Library (AISeL)
ER  - 
TY  - CHAP
A1  - Wiegner, Jonas
A1  - Volker, Hanno
A1  - Mainz, Fabian
A1  - Backes, Andreas
A1  - Löken, Michael
A1  - Hüning, Felix
T1  - Wiegand-effect-powered wireless IoT sensor node
T2  - ITG-Fb. 303: Sensoren und Messsysteme
N2  - 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.
Y1  - 2022
SN  - 978-3-8007-5835-7
N1  - Sensoren und Messsysteme - 21. ITG/GMA-Fachtagung, 10.05.2022 - 11.05.2022 in Nürnberg
SP  - 255
EP  - 260
PB  - VDE Verlag GmbH
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Schuba, Marko
A1  - Höfken, Hans-Wilhelm
A1  - Linzbach, Sophie
T1  - An ICS Honeynet for Detecting and Analyzing Cyberattacks in Industrial Plants
T2  - 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
N2  - Cybersecurity of Industrial Control Systems (ICS) is an important issue, as ICS incidents may have a direct impact on safety of people or the environment. At the same time the awareness and knowledge about cybersecurity, particularly in the context of ICS, is alarmingly low. Industrial honeypots offer a cheap and easy to implement way to raise cybersecurity awareness and to educate ICS staff about typical attack patterns. When integrated in a productive network, industrial honeypots may not only reveal attackers early but may also distract them from the actual important systems of the network. Implementing multiple honeypots as a honeynet, the systems can be used to emulate or simulate a whole Industrial Control System. This paper describes a network of honeypots emulating HTTP, SNMP, S7communication and the Modbus protocol using Conpot, IMUNES and SNAP7. The nodes mimic SIMATIC S7 programmable logic controllers (PLCs) which are widely used across the globe. The deployed honeypots' features will be compared with the features of real SIMATIC S7 PLCs. Furthermore, the honeynet has been made publicly available for ten days and occurring cyberattacks have been analyzed
KW  - Conpot
KW  - honeypot
KW  - honeynet
KW  - ICS
KW  - cybersecurity
Y1  - 2022
SN  - 978-1-6654-4231-2
SN  - 978-1-6654-4232-9
U6  - https://doi.org/10.1109/ICECET52533.2021.9698746
N1  - 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET). 09-10 December 2021. Cape Town, South Africa.
PB  - IEEE
ER  -