scholarly journals Understanding the Scalability of Molecular Simulation Using Empirical Performance Modeling

2019 ◽  
pp. 125-143 ◽  
Author(s):  
Sergei Shudler ◽  
Jadran Vrabec ◽  
Felix Wolf
Keyword(s):  
Molecular Simulation ◽  
Performance Modeling ◽  
Empirical Performance

Noise-Resilient Empirical Performance Modeling with Deep Neural Networks

2021 ◽  
Author(s):  
Marcus Ritter ◽  
Alexander Geis ◽  
Johannes Wehrstein ◽  
Alexandru Calotoiu ◽  
Thorsten Reimann ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Performance Modeling ◽  
Empirical Performance

scholarly journals Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling

2020 ◽  
Author(s):  
Marcus Ritter ◽  
Alexandru Calotoiu ◽  
Sebastian Rinke ◽  
Thorsten Reimann ◽  
Torsten Hoefler ◽  
...  
Keyword(s):  
Performance Modeling ◽  
Cost Effective ◽  
Sampling Strategies ◽  
Empirical Performance

Enhanced treatment of tannery wastewater in an integrated multistage bioreactor (IMBR) by the predominant bacterial strains enriched from marine sediments

2015 ◽  
Vol 73 (4) ◽  
pp. 807-817
Author(s):  
Guangdao Huang ◽  
Guofeng Fan ◽  
Guoguang Liu
Keyword(s):  
Marine Sediments ◽  
Performance Modeling ◽  
Oxygen Demand ◽  
Heterotrophic Nitrification ◽  
Tannery Wastewater ◽  
Bacterial Strains ◽  
Waste Sludge ◽  
Empirical Performance ◽  
Removal Efficiencies ◽  
High Concentrations

An innovative integrated multistage bioreactor (IMBR) system, which was augmented with three predominant bacterial strains (Lactobacillus paracasei CL1107, Pichia jadinii CL1705, and Serratia marcescens CL1502) isolated from marine sediments, was developed to treat real tannery wastewater without performing physicochemical pretreatment, with the potential to reduce the generation of waste sludge and odors. The performance of the IMBR treatment system, with and without the inclusion of the predominant bacterial strains, was compared. The results indicated that the performance of the IMBR system without bioaugmentation by the predominant bacterial strains was poor. However, when in the presence of the predominant bacterial strains, the IMBR system exhibited high removal efficiencies of chemical oxygen demand (COD) (97%), NH4+-N (97.7%), and total nitrogen (TN) (90%). In addition, the system had the capacity for the simultaneous removal of organics and nitrogen, heterotrophic nitrification and denitrification being carried out concurrently, thereby avoiding the strong inhibition of high concentrations of COD on nitrification. The system possessed excellent adaptability and ability to resist influent loading fluctuations, and had a good alkalinity balance such that it could achieve a high NH4+-N, and TN removal efficiency without a supplement of external alkalinity. In addition, an empirical performance modeling of the IMBR system was analyzed.

Empirical performance modeling for parallel weather prediction codes

1999 ◽  
Vol 25 (13-14) ◽  
pp. 2135-2148 ◽  
Author(s):  
Hermann Mierendorff ◽  
Wolfgang Joppich
Keyword(s):  
Performance Modeling ◽  
Weather Prediction ◽  
Empirical Performance
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