scholarly journals AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 17158-17173 ◽  
Author(s):  
Ibrahim-Anka Salihu ◽  
Rosziati Ibrahim ◽  
Bestoun S. Ahmed ◽  
Kamal Z. Zamli ◽  
Asmau Usman
Keyword(s):  
Dynamic Model ◽  
Mobile Apps ◽  
Model Generation

Enabling full field physics based OPC via dynamic model generation

2017 ◽  
Author(s):  
Michael Lam ◽  
Chris Clifford ◽  
Ananthan Raghunathan ◽  
Germain Fenger ◽  
Kostas Adam
Keyword(s):  
Dynamic Model ◽  
Model Generation ◽  
Full Field

Enabling full-field physics-based optical proximity correction via dynamic model generation

2017 ◽  
Vol 16 (3) ◽  
pp. 033502 ◽  
Author(s):  
Michael Lam ◽  
Chris Clifford ◽  
Ananthan Raghunathan ◽  
Germain Fenger ◽  
Kostas Adam
Keyword(s):  
Dynamic Model ◽  
Model Generation ◽  
Full Field ◽  
Optical Proximity Correction

Automatic Model Generation for Modular Reconfigurable Robot Dynamics

1998 ◽  
Vol 120 (3) ◽  
pp. 346-352 ◽  
Author(s):  
I-Ming Chen ◽  
Guilin Yang
Keyword(s):  
Closed Form ◽  
Dynamic Model ◽  
Degrees Of Freedom ◽  
Dynamic Models ◽  
Equation Of Motion ◽  
Robot Dynamics ◽  
Model Generation ◽  
Modular Robot ◽  
Form Equation ◽  
Automatic Model Generation

In control and simulation of a modular robot system, which consists of standardized and interconnected joint and link units, manual derivation of its dynamic model needs tremendous effort because these models change all the time as the robot geometry is altered after module reconfiguration. This paper presents a method to automate the generation of the closed-form equation of motion of a modular robot with arbitrary degrees-of-freedom and geometry. The robot geometry we consider here is branching type without loops. A graph technique, termed kinematic graphs and realized through assembly incidence matrices (AIM) is introduced to represent the module assembly sequence and robot geometry. The formulation of the dynamic model is started with recursive Newton-Euler algorithm. The generalized velocity, acceleration, and forces are expressed in terms of linear operations on se(3), the Lie algebra of the Euclidean group SE(3). Based on the equivalence relationship between the recursive formulation and the closed-form Lagrangian formulation, the accessibility matrix of the kinematic graph of the robot is used to assist the construction of the closed-form equation of motion of a modular robot. This automatic model generation technique can be applied to the control of rapidly reconfigurable robotic workcells and other automation equipment built around modular components that require accurate dynamic models.

Short-term volume and turgor regulation in yeast

2008 ◽  
Vol 45 ◽  
pp. 147-160 ◽  
Author(s):  
Jörg Schaber ◽  
Edda Klipp
Keyword(s):  
Dynamic Model ◽  
Volume Change ◽  
Volume Regulation ◽  
Time Course ◽  
Osmotic Shock ◽  
Intracellular Concentration ◽  
Short Term ◽  
Hydrodynamic Property ◽  
Turgor Regulation ◽  
Thermodynamic Framework

Volume is a highly regulated property of cells, because it critically affects intracellular concentration. In the present chapter, we focus on the short-term volume regulation in yeast as a consequence of a shift in extracellular osmotic conditions. We review a basic thermodynamic framework to model volume and solute flows. In addition, we try to select a model for turgor, which is an important hydrodynamic property, especially in walled cells. Finally, we demonstrate the validity of the presented approach by fitting the dynamic model to a time course of volume change upon osmotic shock in yeast.

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