TY  - JOUR
A1  - Neu, Eugen
A1  - Janser, Frank
A1  - Khatibi, Akbar A.
A1  - Orifici, Adrian C.
T1  - Fully Automated Operational Modal Analysis using multi-stage clustering
JF  - Mechanical Systems and Signal Processing
Y1  - 2017
U6  - http://dx.doi.org/10.1016/j.ymssp.2016.07.031
SN  - 0888-3270
VL  - Vol. 84, Part A
SP  - 308
EP  - 323
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Peterson, Leif Arne
A1  - Röth, Thilo
A1  - Uibel, Thomas
T1  - Einsatz von Holzwerkstoffen in Fahrzeugstrukturen
JF  - Bauen mit Holz
Y1  - 2017
SN  - 0005-6545
N1  - gedruckt in der Bereichsbibliothek Bayernallee
IS  - 3
SP  - 32
EP  - 38
PB  - Bruderverlag
CY  - Köln
ER  - 
TY  - CHAP
A1  - Peterson, Leif Arne
A1  - Röth, Thilo
A1  - Uibel, Thomas
ED  - Uibel, Thormas
ED  - Peterson, Leif Arne
ED  - Baumann, Marcus
T1  - Holzwerkstoffe in Karosseriestrukturen
T2  - Tagungsband Aachener Holzbautagung 2017
Y1  - 2017
SN  - 2197-4489
SP  - 34
EP  - 45
ER  - 
TY  - CHAP
A1  - Kreyer, Jörg
A1  - Esch, Thomas
T1  - Simulation Tool for Predictive Control Strategies for an ORCSystem in Heavy Duty Vehicles
T2  - European GT Conference 2017
N2  - Scientific questions
- How can a non-stationary heat offering in the commercial vehicle be used to reduce fuel consumption?
- Which potentials offer route and environmental information among with predicted speed and load trajectories to increase the efficiency of a ORC-System?
Methods
- Desktop bound holistic simulation model for a heavy duty truck incl. an ORC System
- Prediction of massflows, temperatures and mixture quality (AFR) of exhaust gas
Y1  - 2017
N1  - European GT Conference 2017, 9.-10. Oktober 2017, Frankfurt a.M.
ER  - 
TY  - CHAP
A1  - Galdi, Chiara
A1  - Hartung, Frank
A1  - Dugelay, Jean-Luc
T1  - Videos versus still images: Asymmetric sensor pattern noise comparison on mobile phones
T2  - Electronic Imaging
N2  - Nowadays, the most employed devices for recoding videos or capturing images are undoubtedly the smartphones. Our work investigates the application of source camera identification on mobile phones. We present a dataset entirely collected by mobile phones. The dataset contains both still images and videos collected by 67 different smartphones. Part of the images consists in photos of uniform backgrounds, especially collected for the computation of the RSPN. Identifying the source camera given a video is particularly challenging due to the strong video compression. The experiments reported in this paper, show the large variation in performance when testing an highly accurate technique on still images and videos.
KW  - Image Forensics
KW  - Mobile Phones
KW  - Image Database
Y1  - 2017
U6  - http://dx.doi.org/10.2352/ISSN.2470-1173.2017.7.MWSF-331
SN  - 2470-1173
N1  - IS&T International Symposium on Electronic Imaging 2017
Media Watermarking, Security, and Forensics 2017
SP  - 100
EP  - 103
PB  - Society for Imaging Science and Technology
CY  - Springfield, Virginia
ER  -