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1. LLP
2. Teaching
3. Students Project Work
F03 – Empowering Communities

This would enable primary data collection, stakeholder interviews, and on-site observations, thereby enriching the comparative analysis. Show all sections Basic event data Event no. 0910303 Event nugs [...] ecosystems and communities along the riverbanks.This research study is designed to encourage a critical analysis of two contrasting cases, the Emscher and Ravi projects, focusing on Green Infrastructure, community [...] qualitative and quantitative research techniques: a. Qualitative Methods Comparative Case Study Analysis: In-depth comparison of the Emscher and Ravi projects using planning documents, project reports …
1. DAES
2. Beschäftigte
3. Ehm. Mitarbeiter
Publications

Jian-Jia Chen and Katharina Morik. In The IEEE International Conference on Data Mining (ICDM) Singapore, November 2018 Analysis of Deadline Miss Rates for Uniprocessor Fixed-Priority Scheduling . Kuan-Hsun [...] Castrillon and Jian-Jia Chen. In 58th ACM/IEEE Design Automation Conference (DAC), accepted Timing Analysis of Asynchronized Distributed Cause-Effect Chains . Mario Günzel, Kuan-Hsun Chen, Niklas Ueter, Georg [...] Information Processing in Sensor Networks (IPSN) Virtual Conference, 2020 Software-Based Memory Analysis Environments for In-Memory Wear-Leveling . Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg …
1. IPS
2. About Us
3. Team
Peter Willats

efficiency improvement and business preservation at OEMs Founding and development of an operational data analysis company in Silicon Valley Presentations and Publications Presentations Willats, Peter (2017): [...] Sousanabady, Reza; Willats, Peter; Deuse, Jochen (2014): Quantifizierung von Variabilität durch Big Data Technologien. In: Productivity Management 19 (5), S. 35–38. …
1. CNI
2. Chair
3. Team
4. Researchers
Melina Geis

04/22/2025 DoNext: An Open-Access Measurement Dataset for Machine Learning-Driven 5G Mobile Network Analysis H. Schippers, M. Geis, S. Böcker, C. Wietfeld In IEEE Transactions on Machine Learning in Communications [...] IEEE International Conference on Communications (ICC) Workshops, June 2024. 10/02/2023 IndoorDRaGon: Data-Driven 3D Radio Propagation Modeling for Highly Dynamic 6G Environments M. Geis, H. Schippers, M. [...] (FNWF), October 2022. 04/13/2022 DRaGon: Mining latent radio channel information from geographical data leveraging deep learning B. Sliwa, M. Geis, C. Bektas, M. Lopéz, P. Mogensen, C. Wietfeld In 2022 …
1. Computer Science
2. Studies
3. During studies
4. other courses
Undergraduate projects

g für UML- und Geschäftsprozessmodelle" PDF (108 KB) INF-BSc-266: Fachprojekt "Business Process Analysis & IT-Security" PDF (107 KB) INF-BSc-267: Fachprojekt "Algorithm Engineering" PDF (111 KB) INF-BSc-268: [...] INF-BSc-268: Fachprojekt "Digital Entertainment Technologies" PDF (112 KB) INF-BSc-269: Fachprojekt "Data-Mining und Datenanalyse" PDF (114 KB) INF-BSc-270: Fachprojekt "Softwaretechniken für sichere Cloud [...] 6: Fachprojekt "Formale Methoden in der IT-Sicherheit" PDF (103 KB) INF-BSc-277: Fachprojekt "Big Data Analytics Lab (BDA-Lab)" PDF (101 KB) INF-BSc-278: Fachprojekt „Statische Code-Analyse im Kontext …
1. AG-Suter
2. Research Interests
Diamond NV center

knowledge of the hyperfine tensor. We determined this tensor accurately by a detailed analysis of experimental data including measurements of electronic and nuclear spin transitions for different orientations [...] hyperfine tensor, was measured by a Raman-excitation and detection scheme. From the analysis of the experimental data, we could determine the principal values and the orientation of the hyperfine tensor [...] Polarizing the electronic and nuclear spin of the NV-center in diamond in arbitrary magnetic fields: analysis of the optical pumping process T. Chakraborty, J. Zhang and D. Suter New Journal of Physics 19, …
1. DAES
2. Lehre
3. Lehrveranstaltungen
4. SS2020
Real-time systems (Englisch)

Real-Time Calculus Multiprocessor Scheduling Prerequisites: A basic background in algorithm analysis, data structures, operating systems, and discrete math will be assumed. Literature: Giorgio C. Buttazzo [...] Please register in the moodle-course (hyperlink above). There you can find teaching material, login data for the virtual course room (lectures and exercises) and further information. If any issues arise [...] Uniprocessor Scheduling Resource Sharing and Resource Reservation Servers Worst-Case Execution Time Analysis and Compilers Perspectives Real-Time Operating Systems and Programming Languages Real-Time Comm …
1. IE3
2. Labs & Tools
MILES

factors. The considered statistical parameters include socio-structural data, land use, location of existing plants and weather related data. Module 2 Time Series Generation Based on these regional assigned [...] calculates feed-in time series for each region based on historical weather data and characteristical power curves. The weather data are taken from the regional model COSMO-EU of Germany's National Meteorological [...] period. First of all, the input data, i.e. the list of possible actions, the network model and the corresponding network use cases are loaded within the framework of data preparation and processed and checked …
1. CNI
2. Chair
3. Team
4. Senior Researchers
Pascal Jörke

Early Data Transmission in ns-3 P. Jörke, T. Gebauer, C. Wietfeld In Workshop on ns-3 (WNS3), Online, Juni 2022. 06/19/2022 Scaling Dense NB-IoT Networks to the Max: Performance Benefits of Early Data Tr [...] Workshop on ns-3 (WNS3), June 2022. Publications 01/10/2025 Empirical Comparison of Power Consumption and Data Rates for 5G New Radio and RedCap Devices P. Jörke, H. Schippers, C. Wietfeld in IEEE Consumer Co [...] In 2023 SolarPACES, Sydney, Australia. 06/20/2023 Performance Evaluation of Random Access for Small Data Transmissions in Highly Dense Public and Private NB-IoT Networks In 2023 IEEE 97th Vehicular Technology …
1. LRE
2. News: 6/22/2025
CRE participates at COMPDYN 2025 in Greece

Dr. Chao Dang Research : Time-Variant Reliability Analysis Via A Single-Loop GPR-Based Active Learning Method Abstract: Time-variant reliability analysis is critical for evaluating the safety degree of [...] approaches, offering a practical and efficient solution to the limitations of conventional reliability analysis techniques. Dr. Zhouzhou Song Research: Efficient Forward And Inverse Uncertainty Quantification [...] onto a functional space spanned by a set of predefined basis functions, which can deal with noisy data by adding a roughness regularization term. A few key latent functions are then identified by solving …