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  - Pasligh, N.
A1  - Funke, D.
A1  - Röth, Thilo
A1  - Krack, R.
T1  - Leichtbau Quertrager als Stahlblech-Aluminiumdruckguss-Hybrid - Von der numerischen Berechnung bis zum realen Prototypen
T2  - VDI BERICHTE
Y1  - 2010
SN  - 978-3-18-092107-5
N1  - 15. Kongress SIMVEC Berechnung und Simulation im Fahrzeugbau, 
Baden-Baden, 16. und 17. November 2010
PB  - VDI Verlag
CY  - Düsseldorf
ER  - 
TY  - CHAP
A1  - Nowack, N.
A1  - Röth, Thilo
A1  - Bührig-Polaczek, A.
A1  - Klaus, G.
ED  - Hirsch, Jürgen
T1  - Advanced Sheet Metal Components Reinforced by Light Metal Cast Structures
T2  - Aluminium alloys : their physical and mechanical properties ; [proceedings of the 11th International Conference on Aluminium Alloys, 22 - 26 Sept. 2008, Aachen, Germany ; ICAA 11]
Y1  - 2008
SN  - 978-3-527-32367-8
IS  - 2
SP  - 2374
EP  - 2381
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  - Niederwestberg, Stefan
A1  - Schneider, Falko
A1  - Teixeira Boura, Cristiano José
A1  - Herrmann, Ulf
T1  - Introduction to a direct irradiated transparent tube particle receiver
T2  - SOLARPACES 2020
N2  - New materials often lead to innovations and advantages in technical applications. This also applies to the particle receiver proposed in this work that deploys high-temperature and scratch resistant transparent ceramics. With this receiver design, particles are heated through direct-contact concentrated solar irradiance while flowing downwards through tubular transparent ceramics from top to bottom. In this paper, the developed particle receiver as well as advantages and disadvantages are described. Investigations on the particle heat-up characteristics from solar irradiance were carried out with DEM simulations which indicate that particle temperatures can reach up to 1200 K. Additionally, a simulation model was set up for investigating the dynamic behavior. A test receiver at laboratory scale has been designed and is currently being built. In upcoming tests, the receiver test rig will be used to validate the simulation results. The design and the measurement equipment is described in this work.
KW  - Solar irradiance
KW  - Ceramics
Y1  - 2022
SN  - 978-0-7354-4195-8
U6  - https://doi.org/10.1063/5.0086735
SN  - 1551-7616 (online)
SN  - 0094-243X (print)
N1  - SOLARPACES 2020: 26th International Conference on Concentrating Solar Power and Chemical Energy Systems, 28 September–2 October 2020, Freiburg, Germany
IS  - 2445 / 1
PB  - AIP conference proceedings / American Institute of Physics
CY  - Melville, NY
ER  - 
TY  - CHAP
A1  - Neumann, Hannah
A1  - Adam, Mario
A1  - Backes, Klaus
A1  - Börner, Martin
A1  - Clees, Tanja
A1  - Doetsch, Christian
A1  - Glaeser, Susanne
A1  - Herrmann, Ulf
A1  - May, Johanna
A1  - Rosenthal, Florian
A1  - Sauer, Dirk Uwe
A1  - Stadler, Ingo
T1  - Development of open educational resources for renewable energy and the energy transition process
T2  - ISES SWC 2021
N2  - The dissemination of knowledge about renewable energies is understood as a social task with the highest topicality. The transfer of teaching content on renewable energies into digital open educational resources offers the opportunity to significantly accelerate the implementation of the energy transition. Thus, in the here presented project six German universities create open educational resources for the energy transition. These materials are available to the public on the internet under a free license. So far there has been no publicly accessible, editable media that cover entire learning units about renewable energies extensively and in high technical quality. Thus, in this project, the content that remains up-to-date for a longer period is appropriately prepared in terms of media didactics. The materials enable lecturers to provide students with in-depth training about technologies for the energy transition. In a particular way, the created material is also suitable for making the general public knowledgeable about the energy transition with scientifically based material.
KW  - energy transition
KW  - renewable energies
KW  - open educational resources
KW  - dissemination
KW  - digitalization
Y1  - 2021
U6  - https://doi.org/10.18086/swc.2021.47.03
N1  - ISES Solar World Congress, virtual conference 25-29 October 2021
PB  - International Solar Energy Society
CY  - Freiburg
ER  - 
TY  - CHAP
A1  - Neu, Eugen
A1  - Janser, Frank
A1  - Khatibi, Akbar A.
A1  - Orifici, Adrian C.
T1  - In-flight vibration-based structural health monitoring of aircraft wings
T2  - 30th Congress of the internatonal council of the aeronautical sciences : 25.-30. September 2016, Daejeon, Korea
N2  - This work presents a methodology for automated
damage-sensitive feature extraction and anomaly
detection under multivariate operational variability
for in-flight assessment of wings. The
method uses a passive excitation approach, i. e.
without the need for artificial actuation. The
modal system properties (natural frequencies and
damping ratios) are used as damage-sensitive
features. Special emphasis is placed on the use
of Fiber Bragg Grating (FBG) sensing technology
and the consideration of Operational and
Environmental Variability (OEV). Measurements
from a wind tunnel investigation with a composite
cantilever equipped with FBG and piezoelectric
sensors are used to successfully detect an impact
damage. In addition, the feasibility of damage
localisation and severity estimation is evaluated
based on the coupling found between damageand
OEV-induced feature changes.
Y1  - 2016
ER  - 
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  - https://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  - Neu, Eugen
A1  - Janser, Frank
A1  - Khatibi, Akbar A.
A1  - Orifici, Adrian C.
T1  - Automated modal parameter-based anomaly detection under varying wind excitation
JF  - Structural Health Monitoring
N2  - Wind-induced operational variability is one of the major challenges for structural health monitoring of slender engineering structures like aircraft wings or wind turbine blades. Damage sensitive features often show an even bigger sensitivity to operational variability. In this study a composite cantilever was subjected to multiple mass configurations, velocities and angles of attack in a controlled wind tunnel environment. A small-scale impact damage was introduced to the specimen and the structural response measurements were repeated. The proposed damage detection methodology is based on automated operational modal analysis. A novel baseline preparation procedure is described that reduces the amount of user interaction to the provision of a single consistency threshold. The procedure starts with an indeterminate number of operational modal analysis identifications from a large number of datasets and returns a complete baseline matrix of natural frequencies and damping ratios that is suitable for subsequent anomaly detection. Mahalanobis distance-based anomaly detection is then applied to successfully detect the damage under varying severities of operational variability and with various degrees of knowledge about the present operational conditions. The damage detection capabilities of the proposed methodology were found to be excellent under varying velocities and angles of attack. Damage detection was less successful under joint mass and wind variability but could be significantly improved through the provision of the currently encountered operational conditions.
Y1  - 2016
U6  - https://doi.org/10.1177/1475921716665803
SN  - 1475-9217
VL  - 15
IS  - 6
SP  - 1
EP  - 20
PB  - Sage
CY  - London
ER  - 
TY  - CHAP
A1  - Neth, Jannik
A1  - Schuba, Marko
A1  - Brodkorb, Karsten
A1  - Neugebauer, Georg
A1  - Höner, Tim
A1  - Hack, Sacha
T1  - Digital forensics triage app for android
T2  - ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security
N2  - Digital forensics of smartphones is of utmost importance in many criminal cases. As modern smartphones store chats, photos, videos etc. that can be relevant for investigations and as they can have storage capacities of hundreds of gigabytes, they are a primary target for forensic investigators. However, it is exactly this large amount of data that is causing problems: extracting and examining the data from multiple phones seized in the context of a case is taking more and more time. This bears the risk of wasting a lot of time with irrelevant phones while there is not enough time left to analyze a phone which is worth examination. Forensic triage can help in this case: Such a triage is a preselection step based on a subset of data and is performed before fully extracting all the data from the smartphone. Triage can accelerate subsequent investigations and is especially useful in cases where time is essential. The aim of this paper is to determine which and how much data from an Android smartphone can be made directly accessible to the forensic investigator – without tedious investigations. For this purpose, an app has been developed that can be used with extremely limited storage of data in the handset and which outputs the extracted data immediately to the forensic workstation in a human- and machine-readable format.
KW  - Android
KW  - Digital triage
KW  - Triage-app
Y1  - 2023
SN  - 9798400707728
U6  - https://doi.org/10.1145/3600160.3605017
N1  - ARES 2023: The 18th International Conference on Availability, Reliability and Security. August 29 - September 1, 2023. Benevento, Italy.
PB  - ACM
ER  -