Mathematical Modelling of Thermoacoustic Generator Systems and Simulation Studies

2020 ◽  
pp. 534-540
Author(s):  
Trong Tan Do ◽  
Duy Tung Le ◽  
Phuong Nam Dao ◽  
Minh Dinh Bui ◽  
Huy Du Dao
Keyword(s):  
Mathematical Modelling ◽  
Simulation Studies

A guideline for simulation studies of wastewater treatment plants

2004 ◽  
Vol 50 (7) ◽  
pp. 131-138 ◽  
Author(s):  
G. Langergraber ◽  
L. Rieger ◽  
S. Winkler ◽  
J. Alex ◽  
J. Wiese ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Mathematical Modelling ◽  
Wastewater Treatment Plants ◽  
Quality Level ◽  
Simulation Studies ◽  
Reference Quality ◽  
Quality And Reliability

A guideline for simulation studies of wastewater treatment plants is proposed. The aim of the HSG-guideline is to define a reference quality level that helps to make the results of simulation studies comprehensible and comparable and therefore increases the quality and reliability of mathematical modelling in wastewater treatment. The paper gives a summary of the HSG-guideline, written by a group of university members from Germany, Austria and Switzerland.

Mathematical modelling of metabolism

2000 ◽  
Vol 3 (3) ◽  
pp. 249-253 ◽  
Author(s):  
C Giersch
Keyword(s):  
Mathematical Modelling

Benefits from Computerized Adaptive Testing as Seen in Simulation Studies

1999 ◽  
Vol 15 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Lutz F. Hornke
Keyword(s):  
Measurement Error ◽  
Computerized Adaptive Testing ◽  
Test Procedure ◽  
Adaptive Testing ◽  
Parameter Estimates ◽  
Simulation Studies ◽  
Computerized Adaptive Test ◽  
Item Banks ◽  
Item Parameters ◽  
General Reliability

Summary: Item parameters for several hundreds of items were estimated based on empirical data from several thousands of subjects. The logistic one-parameter (1PL) and two-parameter (2PL) model estimates were evaluated. However, model fit showed that only a subset of items complied sufficiently, so that the remaining ones were assembled in well-fitting item banks. In several simulation studies 5000 simulated responses were generated in accordance with a computerized adaptive test procedure along with person parameters. A general reliability of .80 or a standard error of measurement of .44 was used as a stopping rule to end CAT testing. We also recorded how often each item was used by all simulees. Person-parameter estimates based on CAT correlated higher than .90 with true values simulated. For all 1PL fitting item banks most simulees used more than 20 items but less than 30 items to reach the pre-set level of measurement error. However, testing based on item banks that complied to the 2PL revealed that, on average, only 10 items were sufficient to end testing at the same measurement error level. Both clearly demonstrate the precision and economy of computerized adaptive testing. Empirical evaluations from everyday uses will show whether these trends will hold up in practice. If so, CAT will become possible and reasonable with some 150 well-calibrated 2PL items.

Mathematical modelling of compatibility of normative and criteria evaluations

2012 ◽  
Author(s):  
Aleksandras Krylovas ◽  
Natalja Kosareva ◽  
Olga Navickiene
Keyword(s):  
Mathematical Modelling

In vivo Analysis of Murine Pneumococcal Pneumonia for Mathematical Modelling of Community Aquired Pneumonia

Pneumologie ◽  
2017 ◽  
Vol 71 (S 01) ◽  
pp. S1-S125
Author(s):  
S Berger ◽  
C Gökeri ◽  
U Behrendt ◽  
SM Wienhold ◽  
J Lienau ◽  
...  
Keyword(s):  
Mathematical Modelling ◽  
Pneumococcal Pneumonia ◽  
In Vivo Analysis ◽  
Community Aquired Pneumonia

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

Mathematical modelling in education and culture

2003 ◽  
Author(s):  
Qi-Xiao Ye ◽  
Werner Blum ◽  
Ken Houston ◽  
Qi-Yuan Jiang
Keyword(s):  
Mathematical Modelling
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