TY  - CHAP
A1  - Auth, Gunnar
A1  - Czarnecki, Christian
A1  - Bensberg, Frank
ED  - Draude, Claude
ED  - Lange, Martin
ED  - Sick, Bernhard
ED  - Gesellschaft für Informatik e.V. (GI), 
T1  - Impact of robotic process automation on enterprise architectures
T2  - GI Edition Proceedings Band 295 INFORMATIK 2019, Workshop-Beiträge
N2  - The initial idea of Robotic Process Automation (RPA) is the automation of business processes through the presentation layer of existing application systems. For this simple emulation of user input and output by software robots, no changes of the systems and architecture is required. However, considering strategic aspects of aligning business and technology on an enterprise level as well as the growing capabilities of RPA driven by artificial intelligence, interrelations between RPA and Enterprise Architecture (EA) become visible and pose new questions. In this paper we discuss the relationship between RPA and EA in terms of perspectives and implications. As workin- progress we focus on identifying new questions and research opportunities related to RPA and EA.
KW  - Robotic Process Automation
KW  - Enterprise Architecture
KW  - Software Robots
Y1  - 2019
SN  - 9783885796893
U6  - http://dx.doi.org/10.18420/inf2019_ws05
SN  - 1617-5468
N1  - 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft. 16. September, Kassel
SP  - 59
EP  - 65
PB  - Köllen
CY  - Bonn
ER  - 
TY  - CHAP
A1  - Bensberg, Frank
A1  - Auth, Gunnar
A1  - Czarnecki, Christian
A1  - Wörndle, Christopher
ED  - Kemal İlter, H.
T1  - Transforming literature-intensive research processes through text analytics – design, implementation and lessons learned
N2  - The continuing growth of scientific publications raises the question how research processes can be digitalized and thus realized more productively. Especially in information technology fields, research practice is characterized by a rapidly growing volume of publications. For the search process various information systems exist. However, the analysis of the published content is still a highly manual task. Therefore, we propose a text analytics system that allows a fully digitalized analysis of literature sources. We have realized a prototype by using EBSCO Discovery Service in combination with IBM Watson Explorer and demonstrated the results in real-life research projects. Potential addressees are research institutions, consulting firms, and decision-makers in politics and business practice.
KW  - Text analytics
KW  - Text mining
KW  - Literature review
KW  - Research process
Y1  - 2018
U6  - http://dx.doi.org/10.6084/m9.figshare.7582073.v1
N1  - 5th International Management Information Systems Conference.
October 24-26 2018, Ankara
ER  - 
TY  - CHAP
A1  - Hoeveler, Bastian
A1  - Janser, Frank
T1  - The aerodynamically optimized design of a fan-in-wing duct
T2  - Applied Aerodynamics Research Conference 2016, Bristol, GB, Jul 19-21, 2016
Y1  - 2016
SN  - 1-85768-371-4
N1  - G1-3-paper.pdf
SP  - 1
EP  - 10
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)
Y1  - 2020
U6  - http://dx.doi.org/10.1109/ICNC47757.2020.9049650
SP  - 373
EP  - 377
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  -