Sedimentological Control Parameters and Compaction — a Complex Model of Porosity Distribution in Holocene Muds of the Arkona Basin (Western Baltic)

1999 ◽  
pp. 375-387
Author(s):  
I. Gustavs
Keyword(s):  
Complex Model ◽  
Control Parameters ◽  
Porosity Distribution ◽  
Arkona Basin

scholarly journals Modeling of Forced Flow-thermal Gradient CVI: Effects of Control Parameters and Processing Schemes on a Densification

2020 ◽  
Author(s):  
Pengfei WANG ◽  
Shengfeng Luo ◽  
Hui ZHANG ◽  
Song ZHANG ◽  
Lili ZHENG
Keyword(s):  
Heat Transfer ◽  
Mass Transfer ◽  
Pore Structure ◽  
Temperature Control ◽  
Thermal Gradient ◽  
Forced Flow ◽  
Structure Evolution ◽  
Control Parameters ◽  
Porosity Distribution ◽  
Channel Temperature

Abstract A two-channel temperature-control infiltration reactor aiming at fabricating thicker and more uniform composites was designed. Unsteady numerical simulations containing hydrodynamics, mass transfer, heat transfer and pore structure evolution were carried out. By analyzing the effects of concentration, velocity and temperature on the porosity distribution, different densification schemes were proposed and compared. Results show that a preform of thickness 0.04 m and initial porosity 0.8 can be densified to a uniform and compact one with the maximum porosity of 0.1 within 300 hours through the three-step densification scheme. This scheme not only assures a low and uniform porosity over the whole preform but also avoids the huge pumping pressure which may cause the preform cracking.

Methods for Restricting Maximum Exposure Rate in Computerized Adaptative Testing

Methodology ◽  
2007 ◽  
Vol 3 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Juan Ramon Barrada ◽  
Julio Olea ◽  
Vicente Ponsoda
Keyword(s):  
Measurement Accuracy ◽  
Computerized Adaptive Testing ◽  
Computation Time ◽  
Adaptive Testing ◽  
Exposure Rate ◽  
Control Parameters ◽  
The Impact ◽  
Two Alternatives ◽  
Selection Of ◽  
Maximum Exposure

Abstract. The Sympson-Hetter (1985) method provides a means of controlling maximum exposure rate of items in Computerized Adaptive Testing. Through a series of simulations, control parameters are set that mark the probability of administration of an item on being selected. This method presents two main problems: it requires a long computation time for calculating the parameters and the maximum exposure rate is slightly above the fixed limit. Van der Linden (2003) presented two alternatives which appear to solve both of the problems. The impact of these methods in the measurement accuracy has not been tested yet. We show how these methods over-restrict the exposure of some highly discriminating items and, thus, the accuracy is decreased. It also shown that, when the desired maximum exposure rate is near the minimum possible value, these methods offer an empirical maximum exposure rate clearly above the goal. A new method, based on the initial estimation of the probability of administration and the probability of selection of the items with the restricted method ( Revuelta & Ponsoda, 1998 ), is presented in this paper. It can be used with the Sympson-Hetter method and with the two van der Linden's methods. This option, when used with Sympson-Hetter, speeds the convergence of the control parameters without decreasing the accuracy.

Probability model for control parameters in the aircraft's information and control systems

2018 ◽  
Vol 2 ◽  
pp. 9-16
Author(s):  
A. Al-Ammouri ◽  
◽  
H.A. Al-Ammori ◽  
A.E. Klochan ◽  
A.M. Al-Akhmad ◽  
...  
Keyword(s):  
Control Systems ◽  
Probability Model ◽  
Control Parameters ◽  
And Control

An Evaluation of Control Parameters for Load Fluctuation Compensation by Battery Control Aimed at Reducing Peak Demand for a Building

2015 ◽  
Vol 135 (1) ◽  
pp. 71-77
Author(s):  
Takayuki Sugimoto ◽  
Eisuke Shimoda ◽  
Toshihiro Yamane ◽  
Shigeo Numata
Keyword(s):  
Control Parameters ◽  
Peak Demand ◽  
Load Fluctuation
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