TY  - CHAP
A1  - Ritz, Thomas
T1  - DISMED - an innovation portal for printing and media industry
T2  - CRIS 2000 : the fifth conference on Current Research Information Systems in Europe, in Helsinki (Finland), 25-27 May 2000
Y1  - 2001
N1  - Programmpunkt: Cybercafé.
PB  - CORDIS Archive
CY  - [s.l.]
ER  - 
TY  - CHAP
A1  - Scholl, Ingrid
A1  - Suder, Sebastian
A1  - Schiffer, Stefan
T1  - Direct Volume Rendering in Virtual Reality
T2  - Bildverarbeitung für die Medizin 2018
Y1  - 2018
SN  - 978-3-662-56537-7
U6  - http://dx.doi.org/10.1007/978-3-662-56537-7_79
SP  - 297
EP  - 302
PB  - Springer Vieweg
CY  - Berlin
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  - http://dx.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  - 
TY  - CHAP
A1  - Altherr, Lena
A1  - Döring, Bernd
A1  - Frauenrath, Tobias
A1  - Groß, Rolf
A1  - Mohan, Nijanthan
A1  - Oyen, Marc
A1  - Schnittcher, Lukas
A1  - Voß, Norbert
ED  - Reiff-Stephan, Jörg
ED  - Jäkel, Jens
ED  - Schwarz, André
T1  - DiggiTwin: ein interdisziplinäres Projekt zur Nutzung digitaler Zwillinge auf dem Weg zu einem klimaneutralen Gebäudebestand
T2  - Tagungsband AALE 2024 : Fit für die Zukunft: praktische Lösungen für die industrielle Automation
N2  - Im Hinblick auf die Klimaziele der Bundesrepublik Deutschland konzentriert sich das Projekt Diggi Twin auf die nachhaltige Gebäudeoptimierung. Grundlage für eine ganzheitliche Gebäudeüberwachung und -optimierung bildet dabei die Digitalisierung und Automation im Sinne eines Smart Buildings. Das interdisziplinäre Projekt der FH Aachen hat das Ziel, ein bestehendes Hochschulgebäude und einen Neubau an klimaneutrale Standards anzupassen. Im Rahmen des Projekts werden bekannte Verfahren, wie das Building Information Modeling (BIM), so erweitert, dass ein digitaler Gebäudezwilling entsteht. Dieser kann zur Optimierung des Gebäudebetriebs herangezogen werden, sowie als Basis für eine Erweiterung des Bewertungssystems Nachhaltiges Bauen (BNB) dienen. Mithilfe von Sensortechnologie und künstlicher Intelligenz kann so ein präzises Monitoring wichtiger Gebäudedaten erfolgen, um ungenutzte Energieeinsparpotenziale zu erkennen und zu nutzen. Das Projekt erforscht und setzt methodische Erkenntnisse zu BIM und digitalen Gebäudezwillingen praxisnah um, indem es spezifische Fragen zur Energie- und Ressourceneffizienz von Gebäuden untersucht und konkrete Lösungen für die Gebäudeoptimierung entwickelt.
KW  - Anomalieerkennung
KW  - IoT
KW  - Überwachung & Optimierung
KW  - DiggiTwin
KW  - BIM
KW  - Smart Building
KW  - Digitalisierung
Y1  - 2024
SN  - 978-3-910103-02-3
U6  - http://dx.doi.org/10.33968/2024.67
N1  - 20. AALE-Konferenz. Bielefeld, 06.03.-08.03.2024
(Tagungsband unter https://doi.org/10.33968/2024.29)
SP  - 341
EP  - 346
PB  - le-tex publishing services GmbH
CY  - Leipzig
ER  - 
TY  - CHAP
A1  - Donner, Ralf
A1  - Rabel, Matthias
A1  - Scholl, Ingrid
A1  - Ferrein, Alexander
A1  - Donner, Marc
A1  - Geier, Andreas
A1  - John, André
A1  - Köhler, Christian
A1  - Varga, Sebastian
T1  - Die Extraktion bergbaulich relevanter Merkmale aus 3D-Punktwolken eines untertagetauglichen mobilen Multisensorsystems
T2  - Tagungsband Geomonitoring
Y1  - 2019
U6  - http://dx.doi.org/10.15488/4515
SP  - 91
EP  - 110
ER  - 
TY  - CHAP
A1  - Ritz, Thomas
ED  - König-Ries, Brigitta
T1  - Die benutzerzentrierte Entwicklung mobiler Unternehmenssoftware
T2  - MMS 2007: Mobilität und mobile Informationssysteme : 2nd conference of GI-Fachgruppe MMS ; March 6th, 2007 in Aachen, Germany
Y1  - 2007
SN  - 978-3-88579-198-0
SP  - 23
EP  - 35
PB  - Ges. für Informatik
CY  - Bonn
ER  - 
TY  - CHAP
A1  - Leise, Philipp
A1  - Breuer, Tim
A1  - Altherr, Lena
A1  - Pelz, Peter F.
T1  - Development, validation and assessment of a resilient pumping system
T2  - Proceedings of the Joint International Resilience Conference, JIRC2020
N2  - The development of resilient technical systems is a challenging task, as the system should adapt automatically to unknown disturbances and component failures. To evaluate different approaches for deriving resilient technical system designs, we developed a modular test rig that is based on a pumping system. On the basis of this example
system, we present metrics to quantify resilience and an algorithmic approach to improve resilience. This approach enables the pumping system to automatically react on unknown disturbances and to reduce the impact of component failures. In this case, the system is able to automatically adapt its topology by activating additional valves. This enables the system to still reach a minimum performance, even in case of failures. Furthermore, timedependent disturbances are evaluated continuously, deviations from the original state are automatically detected and anticipated in the future. This allows to reduce the impact of future disturbances and leads to a more resilient
system behaviour.
KW  - water supply system
KW  - fault detection
KW  - anticipation strategy
Y1  - 2020
SN  - 978-90-365-5095-6
N1  - Proceedings of the Joint International Resilience Conference 2020.
Interconnected: Resilience Innovations for Sustainable Development Goals. 23 - 27 November, 2020
SP  - 97
EP  - 100
ER  - 
TY  - CHAP
A1  - Grund, Raphael M.
A1  - Altherr, Lena
ED  - Reiff-Stephan, Jörg
ED  - Jäkel, Jens
ED  - Schwarz, André
T1  - Development of an open source energy disaggregation tool for the home automation platform Home Assistant
T2  - Tagungsband AALE 2023 : mit Automatisierung gegen den Klimawandel
N2  - In order to reduce energy consumption of homes, it is important to make transparent which devices consume how much energy. However, power consumption is often only monitored aggregated at the house energy meter. Disaggregating this power consumption into the contributions of individual devices can be achieved using Machine Learning. Our work aims at making state of the art disaggregation algorithms accessibe for users of the open source home automation platform Home Assistant.
KW  - Home Automation Platform
KW  - Home Assistant
KW  - Open Source
KW  - Machine Learning
KW  - Energy Disaggregation
Y1  - 2023
SN  - 978-3-910103-01-6
U6  - http://dx.doi.org/10.33968/2023.02
N1  - 19. AALE-Konferenz. Luxemburg, 08.03.-10.03.2023.
BTS Connected Buildings & Cities Luxemburg
(Tagungsband unter https://doi.org/10.33968/2023.01)
SP  - 11
EP  - 20
PB  - le-tex publishing services GmbH
CY  - Leipzig
ER  - 
TY  - CHAP
A1  - Nursinski-Stolberg, André
A1  - Gangatharan, Kiritharan
A1  - Czarnecki, Christian
ED  - Mayr, Heinrich C.
ED  - Pinzger, Martin
T1  - Development of a subject-oriented reference process model for the telecommunications industry
T2  - GI Edition Proceedings Band 259 INFORMATIK 2016
N2  - Generally the usage of reference models can be structured top-down or bottom-up. The practical need of agile change and flexible organizational implementation requires a consistent mapping to an operational level. In this context, well-established reference process models are typically structured top-down. The subject-oriented Business Process Management (sBPM) offers a modeling concept that is structured bottom-up and concentrates on the process actors on an
operational level. This paper applies sBPM to the enhanced Telecom Operations Map (eTOM), a well-accepted reference process model in the telecommunications industry. The resulting design artifact is a concrete example for a combination of a bottom-up and top-down developed reference model. The results are evaluated and confirmed in practical context through the involvement of the industry body TMForum.
KW  - Subject-oriented Business Process Management
KW  - Reference Process Model
KW  - eTOM
KW  - Telecommunications Industry.
Y1  - 2016
SN  - 9783885796534
SN  - 1617-5468
N1  - 26.-30. September 2016, Klagenfurt.
SP  - 699
EP  - 712
PB  - Gesellschaft für Informatik e.V.
CY  - Bonn
ER  - 
TY  - CHAP
A1  - Tischbein, Franziska
A1  - Kean, Kilian
A1  - Vertgewall, Chris Martin
A1  - Ulbig, Andreas
A1  - Altherr, Lena
T1  - Determination of the topology of low-voltage distribution grids using cluster methods
T2  - 27th International Conference on Electricity Distribution (CIRED 2023)
N2  - Due to the decarbonization of the energy sector, the electric distribution grids are undergoing a major transformation, which is expected to increase the load on the operating resources due to new electrical loads and distributed energy resources. Therefore, grid operators need to gradually move to active grid management in order to ensure safe and reliable grid operation. However, this requires knowledge of key grid variables, such as node voltages, which is why the mass integration of measurement technology (smart meters) is necessary. Another problem is the fact that a large part of the topology of the distribution grids is not sufficiently digitized and models are partly faulty, which means that active grid operation management today has to be carried out largely blindly. It is therefore part of current research to develop methods for determining unknown grid topologies based on measurement data. In this paper, different clustering algorithms are presented and their performance of topology detection of low voltage grids is compared. Furthermore, the influence of measurement uncertainties is investigated in the form of a sensitivity analysis.
Y1  - 2023
SN  - 978-1-83953-855-1
U6  - http://dx.doi.org/10.1049/icp.2023.0478
N1  - 27th International Conference on Electricity Distribution (CIRED 2023), 12-15 June 2023, Rome, Italy.
SP  - 1
EP  - 5
PB  - IEEE
ER  -