Inhalt des Dokuments

[1]- © Service-centric
Networking
The Ubiquitous Computing
paradigm describes a world in which electronic devices are not only
unobtrusively embedded within the human’s environment but also in
which electronic devices are interacting with each other to support
humans in their daily life. Hence, Ubiquitous Computing deals with a
wide range of research topics related to Pervasive Computing, Wearable
Computing, Ambient Intelligence, Intelligent Environments, Automotive
Computing and Smart Homes. Thereby, the context- and
location-awareness of Ubiquitous Computing systems are the key
enablers for many application scenarios such as carsharing, navigation
systems, location-based marketing, home automation or context-aware
services in general. The Ubiquitous Computing field is highly
dependent on the underlying wireless communication technologies such
as 5G networks, WLAN, Bluetooth, NFC etc., and many research questions
deal with the optimization of protocols and algorithms that are
applied over these wireless communication networks.
Our research related to Ubiquitous Computing focuses on developing
context-aware middlewares for smart mobile devices like smartphones,
wearables or tablets. Our work encompasses the design and development
of proactive context or location-based service infrastructures for
indoor and outdoor environments as well the investigation of new
methods for the datafication of mobile data. By enhancing
context-aware systems with latest spatiotemporal data analytics
techniques, we envision intelligent environments which are able to
autonomically learn typical behavior patterns and adapt mobile
applications according to situational needs. These self-adaptive
systems come along with several interesting research challenges like
automatic data processing and analysis, energy-efficient
context-awareness and profile-based adaptation of mobile devices,
which are all addressed within our research group.
Team- Dr. [2] [3]Sandro Rodriguez
Garzon [4]
- Philip Raschke [5]
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Projects
- CATLES [7]
- COMGREEN
[8]
- Context Data Cloud [9]
- Contextfencing
[10]
- Curcuma
[11]
- FlashPoll
[12]
- Indoor Analytics [13]
- OpenMobileNetwork
[14]
- PARADISE [15]
- STEAM [16]
- Street Smart
Retail [17]
Publications
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Author [23]
Year [24]
Journal [25]
Beierle, F. (2020). Integrating Psychoinformatics
with Ubiquitous Social Networking [26]. Technische Universität
Berlin
Beierle, F. and Probst, T. and Allemand, M. and
Zimmermann, J. and Pryss, R. and Neff, P. and Schlee, W. and Stieger,
S. and Budimir, S. (2020). Frequency and duration of daily smartphone
usage in relation to personality traits [27]. Digital
Psychology. facultas, 20–28.
Grunert, K. (2020). Overview of JavaScript
Engines for Resource-Constrained Microcontrollers [28]. 5th
International Conference on Smart and Sustainable Technologies
2020(SpliTech 2020), 1-7.
Beierle, F. and Egger, S. (2020). MobRec –
Mobile Platform for Decentralized Recommender Systems [29]. IEEE
Access. IEEE, 185311 - 185329.
Dinh Tuan, H. and Mora Martinez, M. and Beierle,
F. and Rodriguez Garzon, S. (2020). Development Frameworks for
Microservice-based Applications: Evaluation and Comparison (accepted
for publication [30]. 2020 European Symposium on Software
Engineering (ESSE)
Rodriguez Garzon, S. and Louis, B. (2020).
Context Flow Graphs: Situation Modeling for Rule-based Proactive
Context-aware Systems [31]. IEEE Access, 1-22.
Beierle, F. and Tran, V.T. and Allemand, M. and
Neff, P. and Schlee, W. and Probst, T. and Zimmermann, J. and Pryss,
R. (2020). What data are smartphone users willing to share with
researchers? Designing and evaluating a privacy model for mobile data
collection apps [32]. Journal of Ambient Intelligence and
Humanized Computing. Springer, 2277–2289.
Rodriguez Garzon, S. and Küpper, A. (2019).
Pay-Per-Pollution: Towards an Air Pollution-Aware Toll System for
Smart Cities [33]. 2019 IEEE International Conference on Smart
Internet of Things (SmartIoT). IEEE, 361-366.
Rodriguez Garzon, S. and Deva, B. (2019).
Sensafety: Crowdsourcing the Urban Sense of Safety [34]. Advances
in Cartography and GIScience of the ICA. Copernicus Publications,
12.
Beierle, F. and Eichinger, T. (2019).
Collaborating with Users in Proximity for Decentralized Mobile
Recommender Systems [35]. Proceedings of the IEEE 16th
International Conference on Ubiquitous Intelligence and Computing (UIC
2019). IEEE, 1192–1197.
Rodriguez Garzon, S. and Pöllabauer, T. and
Zickau, S. and Küpper, A. (2019). Interactive Design of Geofences for
Proactive Location-based Services in Smart Cities [36].
Proceedings of the 16th IEEE International Conference on Ubiquitous
Intelligence and Computing (UIC 2019). IEEE.
Plass, J. and Zickau, S. (2019). PARADISE - Wie
Ortungstechnologien den Datenschutz im Anti-Doping verbessern können
[37]. Kritik des Anti-Doping - Eine konstruktive
Auseinandersetzung zu Methoden und Strategien im Kampf gegen
Doping. Nils Zurawski, Marcel Scharf, 131-157.
Victor, F. and Zickau, S. (2018). Geofences on
the Blockchain: Enabling Decentralized Location-based Services [38].
2018 IEEE International Conference on Data Mining Workshops
(ICDMW), 97-104.
Beierle, F. and Tran, V.T. and Allemand, M. and
Neff, P. and Schlee, W. and Probst, T. and Pryss, R. and Zimmermann,
J. (2018). TYDR - Track Your Daily Routine. Android App for Tracking
Smartphone Sensor and Usage Data [39]. 2018 ACM/IEEE 5th
International Conference on Mobile Software Engineering and Systems
(MOBILESoft '18). ACM, 72-75.
Rodriguez Garzon, S. and Walther, S. and Pang, S.
and Deva, B. and Küpper, A. (2018). Urban Air Pollution Alert Service
for Smart Cities [40]. Proceedings of the 8th International
Conference on the Internet of Things. Association for Computing
Machinery.
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[46]
TU Berlin - Service-centric Networking - TEL
19
Ernst-Reuter-Platz 7
10587 Berlin, Germany
Phone: +49 30 8353 58811
Fax: +49 30 8353 58409
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