An efficient parameter extraction algorithm for MOS transistor models

1992 ◽  
Vol 39 (9) ◽  
pp. 2070-2076 ◽  
Author(s):  
P.R. Karlsson ◽  
K.O. Jeppson
Keyword(s):  
Parameter Extraction ◽  
Mos Transistor ◽  
Extraction Algorithm

Extraction Algorithm of Lip Characteristic Parameters Based on Interpolation

2014 ◽  
Vol 536-537 ◽  
pp. 235-240
Author(s):  
Ying Jie Meng ◽  
Li Xin Bai ◽  
Wen Jun Liu ◽  
Ming Wen Liu
Keyword(s):  
High Efficiency ◽  
Parameter Extraction ◽  
Characteristic Parameters ◽  
Motion Feature ◽  
Identity Recognition ◽  
Features Fusion ◽  
Parameters Extraction ◽  
Key Points ◽  
Extraction Algorithm ◽  
Motion Features

In the research of identity recognition based on lip motion features, there are limitations for the existing algorithms of lip characteristic parameters extraction. This paper uses the strategy of lip static/dynamic geometric features fusion, designs the lip feature parameter extraction program based on interpolation, and implements the major aspects of processing algorithm of the program. The solution is based on the speaker's key six primitives spelling lip sequence image, firstly generates the lip key point coordinates in the image, then based on Lagrange interpolation obtains function curve coefficient of upper and lower lips' key points , lastly the two curve coefficients are combined to form lip motion feature information of human speaker's some specific sounds; Simulation results show that the extraction of characteristic parameters of the program not only have a high efficiency and availability, but also have the advantages of good storage.

Poroviscoelastic Cartilage Properties in the Mouse From Indentation

2008 ◽  
Vol 131 (1) ◽  
Author(s):  
Sidharth Chiravarambath ◽  
Narendra K. Simha ◽  
Ravi Namani ◽  
Jack L. Lewis
Keyword(s):  
Finite Element ◽  
Parameter Extraction ◽  
Parameter Variation ◽  
Diffusion Time ◽  
Finite Element Program ◽  
Fitted Parameter ◽  
Extraction Algorithm ◽  
Element Program ◽  
Gel Diffusion ◽  
Fitting Parameters

A method for fitting parameters in a poroviscoelastic (PVE) model of articular cartilage in the mouse is presented. Indentation is performed using two different sized indenters and then these data are fitted using a PVE finite element program and parameter extraction algorithm. Data from a smaller indenter, a 15μm diameter flat-ended 60deg cone, is first used to fit the viscoelastic (VE) parameters, on the basis that for this tip size the gel diffusion time (approximate time constant of the poroelastic (PE) response) is of the order of 0.1s, so that the PE response is negligible. These parameters are then used to fit the data from a second 170μm diameter flat-ended 60deg cone for the PE parameters, using the VE parameters extracted from the data from the 15μm tip. Data from tests on five different mouse tibial plateaus are presented and fitted. Parameter variation studies for the larger indenter show that for this case the VE and PE time responses overlap in time, necessitating the use of both models.

scholarly journals Parameterised Resource-Bounded ATL

2020 ◽  
Vol 34 (05) ◽  
pp. 7040-7046
Author(s):  
Natasha Alechina ◽  
Stéphane Demri ◽  
Brian Logan
Keyword(s):  
Model Checking ◽  
Temporal Logic ◽  
Parameter Extraction ◽  
Resource Requirement ◽  
Extraction Algorithm ◽  
Resource Requirements ◽  
Strategic Ability ◽  
Resource Logics

It is often advantageous to be able to extract resource requirements in resource logics of strategic ability, rather than to verify whether a fixed resource requirement is sufficient for achieving a goal. We study Parameterised Resource-Bounded Alternating Time Temporal Logic where parameter extraction is possible. We give a parameter extraction algorithm and prove that the model-checking problem is 2EXPTIME-complete.

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