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  - http://dx.doi.org/10.1007/978-981-16-2380-6_73
N1  - Proceedings of 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  - 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 Session Serving Various Educational Attainments
T2  - 2021 IEEE Global Engineering Education Conference (EDUCON)
Y1  - 2021
U6  - http://dx.doi.org/10.1109/EDUCON46332.2021.9453925
SP  - 1605
EP  - 1614
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)
Y1  - 2021
U6  - http://dx.doi.org/10.1109/EDUCON46332.2021.9454006
SP  - 1175
EP  - 1179
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  - http://dx.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
SN  - 1617-5468
N1  - INFORMATIK 2021 – 51. Jahrestagung der Gesellschaft für Informatik, 27. September – 01. Oktober 2021 / Virtuell, Berlin.
https://informatik2021.gi.de/
SP  - 1303
EP  - 1311
PB  - Köllen
CY  - Bonn
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
Y1  - 2021
SN  - 978-3-030-67411-3
U6  - http://dx.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)
KW  - Harmonic Radar
KW  - Rescue System
KW  - Frequency Doubler
KW  - Transponder
KW  - Tag
Y1  - 2021
SN  - 978-2-87487-061-3
U6  - http://dx.doi.org/10.1109/EuRAD48048.2021.00030
N1  - Proceedings of the 17th European Radar Conference, 
13th - 15th January 2021, Utrecht, Netherlands
SP  - 73
EP  - 76
PB  - IEEE
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 2021: 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  - http://dx.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  - 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  - http://dx.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  - 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  - http://dx.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  -