TY  - JOUR
A1  - Pohl, Martina
A1  - Siegert, Petra
A1  - Mesch, K.
A1  - Bruhn, H.
A1  - Grötzinger, Joachim
T1  - Active site mutants of pyruvate decarboxylase from Zymomonas mobilis : a site-directed mutagenesis study of L112, I472, I476, E473 and N482
JF  - European journal of biochemistry
Y1  - 1998
SN  - 1432-1033 (E-Journal); 1742-4658 (E-Journal); 0014-2956 (Print); 1742-464X (Print)
VL  - Vol. 257
IS  - Iss. 3
SP  - 538
EP  - 546
ER  - 
TY  - JOUR
A1  - Berretz, Frank
A1  - Skorupa, Sasche
A1  - Sander, Volker
A1  - Belloum, Adam
A1  - Bubak, Marian
T1  - Actor-Driven Workflow Execution in Distributed Environments
JF  - Euro-Par 2010 Parallel Processing Workshops : HeteroPAR, HPCC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC ; Ischia, Italy, August 31 - September 3, 2010 ; revised selected papers / Mario R. Guarracino ... (eds.)
Y1  - 2011
SN  - 978-3-642-21877-4
N1  - Lecture Notes in Computer Science ; 6586
SP  - 287
EP  - 294
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Arampatzis, Adamantios
A1  - Karamanidis, Kiros
A1  - Albracht, Kirsten
T1  - Adaptational responses of the human Achilles tendon by modulation of the applied cyclic strain magnitude
JF  - Journal of Experimental Biology
Y1  - 2007
U6  - http://dx.doi.org/10.1242/jeb.003814
SN  - 0022-0949
VL  - 210
IS  - 15
SP  - 2743
EP  - 2753
ER  - 
TY  - CHAP
A1  - Ulmer, Jessica
A1  - Braun, Sebastian
A1  - Cheng, Chi-Tsun
A1  - Dowey, Steve
A1  - Wollert, Jörg
T1  - Adapting Augmented Reality Systems to the users’ needs using Gamification and error solving methods
T2  - Procedia CIRP
N2  - Animations of virtual items in AR support systems are typically predefined and lack interactions with dynamic physical environments. AR applications rarely consider users’ preferences and do not provide customized spontaneous support under unknown situations. This research focuses on developing adaptive, error-tolerant AR systems based on directed acyclic graphs and error resolving strategies. Using this approach, users will have more freedom of choice during AR supported work, which leads to more efficient workflows. Error correction methods based on CAD models and predefined process data create individual support possibilities. The framework is implemented in the Industry 4.0 model factory at FH Aachen.
KW  - Augmented Reality
KW  - Adaptive Systems
KW  - Gamification
KW  - Error Recovery
Y1  - 2021
U6  - http://dx.doi.org/10.1016/j.procir.2021.11.024
SN  - 2212-8271
N1  - Part of special issue: 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0
VL  - 104
SP  - 140
EP  - 145
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - CHAP
A1  - Damm, Sebastian
A1  - Ritz, Thomas
A1  - Strauch, Jakob
T1  - Adaption of archetype patterns for mobile cloud-based business apps
T2  - 2011 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops 2011) : Seattle, Washington, USA, 21 - 25 March 2011
Y1  - 2011
SN  - 978-1-61284-938-6 (Print)
SN  - 978-1-61284-936-2 (E-Book)
U6  - http://dx.doi.org/10.1109/PERCOMW.2011.5766849
SP  - 100
EP  - 105
PB  - IEEE Service Center
CY  - Piscataway, NJ
ER  - 
TY  - CHAP
A1  - Schulze, Sven
A1  - Mühleisen, M.
A1  - Feyerl, Günter
T1  - Adaptive energy management strategy for a heavy-duty truck with a P2-hybrid topology
T2  - 18. Internationales Stuttgarter Symposium. Proceedings
Y1  - 2018
U6  - http://dx.doi.org/10.1007/978-3-658-21194-3
SP  - 75
EP  - 89
PB  - Springer Vieweg
CY  - Wiesbaden
ER  - 
TY  - JOUR
A1  - Ketelhut, Maike
A1  - Brügge, G. M.
A1  - Göll, Fabian
A1  - Braunstein, Bjoern
A1  - Albracht, Kirsten
A1  - Abel, Dirk
T1  - Adaptive iterative learning control of an industrial robot during neuromuscular training
JF  - IFAC PapersOnLine
N2  - To prevent the reduction of muscle mass and loss of strength coming along with the human aging process, regular training with e.g. a leg press is suitable. However, the risk of training-induced injuries requires the continuous monitoring and controlling of the forces applied to the musculoskeletal system as well as the velocity along the motion trajectory and the range of motion. In this paper, an adaptive norm-optimal iterative learning control algorithm to minimize the knee joint loadings during the leg extension training with an industrial robot is proposed. The response of the algorithm is tested in simulation for patients with varus, normal and valgus alignment of the knee and compared to the results of a higher-order iterative learning control algorithm, a robust iterative learning control and a recently proposed conventional norm-optimal iterative learning control algorithm. Although significant improvements in performance are made compared to the conventional norm-optimal iterative learning control algorithm with a small learning factor, for the developed approach as well as the robust iterative learning control algorithm small steady state errors occur.
KW  - Iterative learning control
KW  - Robotic rehabilitation
KW  - Adaptive control
Y1  - 2020
U6  - http://dx.doi.org/10.1016/j.ifacol.2020.12.741
SN  - 2405-8963
VL  - 53
IS  - 2
SP  - 16468
EP  - 16475
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - CHAP
A1  - Schuh, Günther
A1  - Gottschalk, Sebastian Friedrich
A1  - Narr, Claus
A1  - Höhne, Tim
ED  - Zäh, Michael F.
T1  - Adaptive logistics : information management for planning and control of small series assembly
T2  - 2nd International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV 2007), Toronto, Ontario, Canada, 22-24 July 2007 : Book of Abstracts
Y1  - 2007
SN  - 978-0-9783187-0-3
SP  - 212
EP  - 221
ER  - 
TY  - CHAP
A1  - Siekmann, Thomas
A1  - Müller, Karsten
T1  - Adaptive potential of the stormwater management in urban areas faced by the climate change
T2  - 12th International Conference on Urban Drainage, Porto Alegre/Brazil, 11-16 September 2011
Y1  - 2011
ER  - 
TY  - JOUR
A1  - Mertens, Josef
A1  - Henke, Rolf
T1  - Adaptive technologies for future civil air transport
JF  - Air & Space Europe. 3 (2001), H. 3-4
Y1  - 2001
SN  - 1247-5793
SP  - 80
EP  - 82
ER  -