TY  - JOUR
A1  - Faßbender, Heinz
A1  - Bühler, Gerhard
T1  - Applying Ada, Java and CORBA for making a command and control information system platform independent
JF  - Proceedings : (SIGAda '99) ; October 17 - 21, 1999 ; Crowne Plaza, Redondo Beach & Marine Hotel, Redondo Beach, CA, USA / ACM SIGAda Annual International Conference
Y1  - 1999
SN  - 1-58113-127-5
N1  - (Ada letters ; 19,3)
SP  - 83
EP  - 88
PB  - ACM
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Wittig, M.
A1  - Rütters, René
A1  - Bragard, Michael
ED  - Reiff-Stephan, Jörg
ED  - Jäkel, Jens
ED  - Schwarz, André
T1  - Application of RL in control systems using the example of a rotatory inverted pendulum
T2  - Tagungsband AALE 2024 : Fit für die Zukunft: praktische Lösungen für die industrielle Automation
N2  - 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.
KW  - Rotatory Inverted Pendulum
KW  - MPC
KW  - LQR
KW  - PPO
KW  - Reinforcement Learning
Y1  - 2024
SN  - 978-3-910103-02-3
U6  - https://doi.org/10.33968/2024.53
N1  - 20. AALE-Konferenz. Bielefeld, 06.03.-08.03.2024.
(Tagungsband unter https://doi.org/10.33968/2024.29)
SP  - 241
EP  - 248
PB  - le-tex publishing services GmbH
CY  - Leipzig
ER  - 
TY  - CHAP
A1  - Arndt, Tobias
A1  - Conzen, Max
A1  - Elsen, Ingo
A1  - Ferrein, Alexander
A1  - Galla, Oskar
A1  - Köse, Hakan
A1  - Schiffer, Stefan
A1  - Tschesche, Matteo
T1  - Anomaly detection in the metal-textile industry for the reduction of the cognitive load of quality control workers
T2  - PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
N2  - This paper presents an approach for reducing the cognitive load for humans working in quality control (QC) for production processes that adhere to the 6σ -methodology. While 100% QC requires every part to be inspected, this task can be reduced when a human-in-the-loop QC process gets supported by an anomaly detection system that only presents those parts for manual inspection that have a significant likelihood of being defective. This approach shows good results when applied to image-based QC for metal textile products.
KW  - Datasets
KW  - Neural networks
KW  - Anomaly detection
KW  - Quality control
KW  - Process optimization
Y1  - 2023
SN  - 9798400700699
U6  - https://doi.org/10.1145/3594806.3596558
N1  - PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, July 5 - 7, 2023
SP  - 535
EP  - 542
PB  - ACM
ER  - 
TY  - CHAP
A1  - Cordes, Sven
A1  - Gligorevic, Snjezana
A1  - Blicharski, Peter
T1  - Analysis of sine precision influence on DOA estimation using the MUSIC algorithm
T2  - 2019 20th International Radar Symposium (IRS)
Y1  - 2019
SN  - 978-3-7369-9860-5
U6  - https://doi.org/10.23919/IRS.2019.8768162
SP  - 1
EP  - 10
ER  - 
TY  - JOUR
A1  - Prume, Klaus
A1  - Peter, F.
A1  - Rüdiger, A.
A1  - Dittmann, R.
T1  - Analysis of shape effects on the piezoresponse in ferroelectric nanograins with and without adsorbates / Peter, F. ; Rüdiger, A. ; Dittmann, R. ; Waser, R. ; Szot, K. ; Reichenberg, B. ; Prume, K. ;
JF  - Applied Physics Letters  . 87 (2005), H. 8
Y1  - 2005
SN  - 0003-6951
SP  - 082901
EP  - 082901-3
ER  - 
TY  - JOUR
A1  - Schuba, Marko
T1  - Analysis of Feedback Error Control Schemes for Block Based Video Communication / Meggers, Jens ; Schuba, Marko
Y1  - 1999
ER  - 
TY  - CHAP
A1  - Dinghofer, Kai
A1  - Hartung, Frank
T1  - Analysis of Criteria for the Selection of Machine Learning Frameworks
T2  - 2020 International Conference on Computing, Networking and Communications (ICNC)
N2  - 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.
Y1  - 2020
U6  - https://doi.org/10.1109/ICNC47757.2020.9049650
N1  - 2020 International Conference on Computing, Networking and Communications (ICNC), 17-20 February 2020, Big Island, HI, USA
SP  - 373
EP  - 377
PB  - IEEE
CY  - New York, NY
ER  - 
TY  - JOUR
A1  - Orzada, Stephan
A1  - Bitz, Andreas
A1  - Johst, Sören
A1  - Gratz, Marcel
A1  - Völker, Maximilian N.
A1  - Kraff, Oliver
A1  - Abuelhaija, Ashraf
A1  - Fiedler, Thomas M.
A1  - Solbach, Klaus
A1  - Quick, Harald H.
A1  - Ladd, Mark E.
T1  - Analysis of an integrated 8-Channel Tx/Rx body array for use as a body coil in 7-Tesla MRI
JF  - Frontiers in Physics
Y1  - 2017
U6  - https://doi.org/10.3389/fphy.2017.00017
SN  - 2296-424X
N1  - Article number 17
VL  - 5
IS  - Jun
ER  - 
TY  - JOUR
A1  - Schuba, Marko
T1  - Analyse der Antwortzeit von zuverlässigen Multicast-Protokollen im Internet
JF  - Multicast - Protokolle und Anwendungen : 20. - 21. Mai 1999, Braunschweig; 1. GI-Workshop / [Workshop-Leitung: Martina Zitterbart ...]
Y1  - 1999
SP  - 1
EP  - 14
CY  - Braunschweig
ER  - 
TY  - CHAP
A1  - Alhwarin, Faraj
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
A1  - Scholl, Ingrid
T1  - An Optimized Method for 3D Body Scanning Applications Based on KinectFusion
T2  - Communications in Computer and Information Science
Y1  - 2019
U6  - https://doi.org/10.1007/978-3-030-29196-9_6
SN  - 1865-0929
N1  - 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Funchal; Portugal; 19 January 2018 through 21 January 2018
VL  - 1024
SP  - 100
EP  - 113
PB  - Springer
ER  -