Refine
H-BRS Bibliography
- yes (238) (remove)
Departments, institutes and facilities
- Fachbereich Informatik (76)
- Fachbereich Wirtschaftswissenschaften (56)
- Fachbereich Angewandte Naturwissenschaften (35)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (34)
- Fachbereich Ingenieurwissenschaften und Kommunikation (33)
- Fachbereich Sozialpolitik und Soziale Sicherung (33)
- Institute of Visual Computing (IVC) (22)
- Institut für Sicherheitsforschung (ISF) (13)
- Institut für Cyber Security & Privacy (ICSP) (11)
- Institut für funktionale Gen-Analytik (IFGA) (10)
Document Type
- Conference Object (89)
- Article (69)
- Part of a Book (37)
- Book (monograph, edited volume) (15)
- Contribution to a Periodical (9)
- Doctoral Thesis (4)
- Report (4)
- Working Paper (3)
- Conference Proceedings (2)
- Master's Thesis (2)
Year of publication
- 2015 (238) (remove)
Has Fulltext
- no (238) (remove)
Keywords
- Lehrbuch (6)
- Arbeitswelt (4)
- Qualitätssicherung (4)
- Rehabilitation (4)
- Sozialversicherung (4)
- Sozialversicherungswissenschaft (4)
- FPGA (3)
- Personalentwicklung (3)
- Prozessmanagement (3)
- Arbeitsmedizin (2)
Begutachtung medizinischer Sachverhalte in der Sozialversicherung und in angrenzenden Gebieten
(2015)
Big Data und aktuelle Trends
(2015)
This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art, then focuses on hybrid systems. The author then uses different bond graph approaches throughout the text and provides case studies.
We propose a high-performance GPU implementation of Ray Histogram Fusion (RHF), a denoising method for stochastic global illumination rendering. Based on the CPU implementation of the original algorithm, we present a naive GPU implementation and the necessary optimization steps. Eventually, we show that our optimizations increase the performance of RHF by two orders of magnitude when compared to the original CPU implementation and one order of magnitude compared to the naive GPU implementation. We show how the quality for identical rendering times relates to unfiltered path tracing and how much time is needed to achieve identical quality when compared to an unfiltered path traced result. Finally, we summarize our work and describe possible future applications and research based on this.