University of Duisburg-Essen

About: University of Duisburg-Essen is a education organization based out in Essen, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 16072 authors who have published 39972 publications receiving 1109199 citations.

Data-driven monitoring for stochastic systems and its application on batch process

Abstract: Batch processes are characterised by a prescribed processing of raw materials into final products for a finite duration and play an important role in many industrial sectors due to the low-volume and high-value products. Process dynamics and stochastic disturbances are inherent characteristics of batch processes, which cause monitoring of batch processes a challenging problem in practice. To solve this problem, a subspace-aided data-driven approach is presented in this article for batch process monitoring. The advantages of the proposed approach lie in its simple form and its abilities to deal with stochastic disturbances and process dynamics existing in the process. The kernel density estimation, which serves as a non-parametric way of estimating the probability density function, is utilised for threshold calculation. An industrial benchmark of fed-batch penicillin production is finally utilised to verify the effectiveness of the proposed approach.

Photonics for microwave measurements

Abstract: R EIEW A R TCLE Abstract As an emerging topic, photonic-assisted microwave measurements with distinct features such as wide frequency coverage, large instantaneous bandwidth, low frequencydependent loss, and immunity to electromagnetic interference, have been extensively studied recently. In this article, we provide a comprehensive overview of the latest advances in photonic microwave measurements, including microwave spectrum analysis, instantaneous frequency measurement, microwave channelization, Doppler frequency-shift measurement, angle-of-arrival detection, time–frequency analysis, compressive sensing, and phase-noise measurement. A photonic microwave radar, as a functional measurement system, is also reviewed. The performance of the photonic measurement solutions is evaluated and compared with the electronic solutions. Future prospects using photonic integrated circuits and software-defined architectures to further improve the measurement performance are also discussed.

Ceramide-mediated clustering is required for CD95-DISC formation.

Abstract: Early events required for induction of apoptosis by CD95 are preassociation of CD95, the formation of the death-inducing signaling complex (DISC) and clustering of CD95 in distinct membrane domains. Here, we identify the molecular ordering of these events and show that the acid sphingomyelinase (ASM) functions upstream of the DISC to mediate CD95 clustering in ceramide-enriched membrane platforms, an event that is required for DISC formation. Experiments in ASM-deficient cells revealed that CD95 ligation, in the absence of ceramide generation, triggers 1% of maximum caspase 8 activation-->ASM translocation-->ceramide generation-->CD95 clustering-->DISC formation-->100% of maximum caspase 8 activation-->apoptosis.

Disambiguating the Documentation of Variability in Software Product Lines: A Separation of Concerns, Formalization and Automated Analysis

Abstract: Feature diagrams are a popular means for documenting variability in software product line engineering. When examining feature diagrams in the literature and from industry, we observed that the same modelling concepts are used for documenting two different kinds of variability: (1) product line variability, which reflects decisions of product management on how the systems that belong to the product line should vary, and (2) software variability, which reflects the ability of the reusable product line artefacts to be customized or configured. To disambiguate the documentation of variability, we follow previous suggestions to relate orthogonal variability models (OVMs) to feature diagrams. This paper reuses an existing formalization of feature diagrams, but introduces a formalization of OVMs. Then, the relationships between the two kinds of models are formalized as well. Besides a precise definition of the languages and the links, the important benefit of this formalization is that it serves as a foundation for a tool supporting automated reasoning on variability. This tool can, e.g., analyse whether the product line artefacts are flexible enough to build all the systems that should belong to the product line.