Model-Based OBD Logic Utilizing Adsorption and Desorption Model of NH3 in SCR Catalyst

2016 ◽  
Author(s):  
Arifumi Matsumoto ◽  
Kenji Furui ◽  
Makoto Ogiso ◽  
Toru Kidokoro
Keyword(s):  
Scr Catalyst ◽  
Adsorption And Desorption ◽  
Model Based ◽  
Desorption Model

scholarly journals Experimental and theoretical study of NH 3 adsorption and desorption over a Cu-chabazite NH 3 -SCR catalyst

2018 ◽  
Vol 42 (6) ◽  
pp. 1768-1780 ◽  
Author(s):  
Selmi Erim BOZBAĞ ◽  
Mutlu ŞİMŞEK ◽  
Onur DEMİR ◽  
Deniz ŞANLI YILDIZ ◽  
Hüseyin Barkın ÖZENER ◽  
...  
Keyword(s):  
Theoretical Study ◽  
Scr Catalyst ◽  
Adsorption And Desorption

Adsorption and desorption of propene on a commercial Cu-SSZ-13 SCR catalyst

2014 ◽  
Vol 231 ◽  
pp. 83-89 ◽  
Author(s):  
Dae Jung Kim ◽  
Jin Wang ◽  
Mark Crocker
Keyword(s):  
Scr Catalyst ◽  
Adsorption And Desorption

Model-Based Control of an SCR-Catalyst for the NOx-Reduction of Diesel-Engines

1995 ◽  
Vol 28 (1) ◽  
pp. 163-168
Author(s):  
Brandmeier ◽  
Hosp ◽  
Schöppe ◽  
U. Wende
Keyword(s):  
Diesel Engines ◽  
Nox Reduction ◽  
Scr Catalyst ◽  
Model Based Control ◽  
Model Based

Computational Study of Performance Drop Phenomena Based on Sulfur Adsorption and Desorption Model in Planar-Type SOFCs

2013 ◽  
Vol 57 (1) ◽  
pp. 2841-2848
Author(s):  
Y. Tachikawa ◽  
T. Hosoi ◽  
T. Nishimura ◽  
Y. Shiratori ◽  
S. Taniguchi ◽  
...  
Keyword(s):  
Computational Study ◽  
Adsorption And Desorption ◽  
Sulfur Adsorption ◽  
Desorption Model

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

Model-Based Clustering and Classification for Data Science

2019 ◽  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery
Keyword(s):  
Data Science ◽  
Model Based Clustering ◽  
Model Based ◽  
Clustering And Classification
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