scholarly journals Efficient computation of exact solutions for quantitative model checking

2012 ◽  
Vol 85 ◽  
pp. 17-32 ◽  
Author(s):  
Sergio Giro
Keyword(s):  
Model Checking ◽  
Exact Solutions ◽  
Quantitative Model ◽  
Efficient Computation

A thermodynamic model of hemoglobin suitable for physiological applications

1990 ◽  
Vol 258 (3) ◽  
pp. C563-C577 ◽  
Author(s):  
T. Yoshida ◽  
M. Dembo
Keyword(s):  
Binding Sites ◽  
Electrostatic Interactions ◽  
Mean Field ◽  
Quantitative Model ◽  
Confidence Limits ◽  
Efficient Computation ◽  
Ligand Binding Sites ◽  
The Mean ◽  
Field Formalism ◽  
Good Agreement

We propose a quantitative model of the thermodynamics of hemoglobin in contact with its five major ligands (O2, CO2, Cl-, 2,3-bisphosphoglycerate, and H+). Our model incorporates the two-state formalism of J. Monod, J. Wyman, and J.P. Changeux (J. Mol. Biol. 12: 88-118, 1965) for treatment of quanternary transitions and also the mean field formalism of K. Linderstrom-Lang (C. R. Trav. Lab. Carlsberg Ser. Chim. 15: 1-30, 1924) for treatment of electrostatic interactions. On the basis of this approach, we develop an algorithm for the efficient computation of observable quantities, such as the occupancy of various ligand binding sites, and an objective statistical procedure for determining both maximum likelihood values and confidence limits of all the intrinsic thermodynamic parameters of hemoglobin. Finally, we show that the predictions of our theory are in good agreement with independent experimental observations.

Quantitative model checking for assessing the energy impact of a MITM attack on EPONs

2021 ◽  
Author(s):  
Polyxeni Tsompanoglou ◽  
Sophia Petridou ◽  
Petros Nicopolitidis ◽  
Georgios Papadimitriou
Keyword(s):  
Model Checking ◽  
Quantitative Model ◽  
Energy Impact ◽  
Mitm Attack

scholarly journals Momba: JANI Meets Python

2021 ◽  
pp. 389-398
Author(s):  
Maximilian A. Köhl ◽  
Michaela Klauck ◽  
Holger Hermanns
Keyword(s):  
Model Checking ◽  
Real Time ◽  
Programming Language ◽  
Quantitative Model ◽  
General Purpose ◽  
Ease Of Use ◽  
Formal Models ◽  
Interchange Format ◽  
Model Interchange ◽  
Interacting Automata

AbstractJANI-model [6] is a model interchange format for networks of interacting automata. It is well-entrenched in the quantitative model checking community and allows modeling a variety of systems involving concurrency, probabilistic and real-time aspects, as well as continuous dynamics. Python is a general purpose programming language preferred by many for its ease of use and vast ecosystem. In this paper, we present Momba, a flexible Python framework for dealing with formal models centered around the JANI-model format and formalism. Momba strives to deliver an integrated and intuitive experience for experimenting with formal models making them accessible to a broader audience. To this end, it provides a pythonic interface for model construction, validation, and analysis. Here, we demonstrate these capabilities.

Quantitative Model Checking for a Smart Grid Pricing

2017 ◽  
pp. 55-71 ◽  
Author(s):  
YoungMin Kwon ◽  
Eunhee Kim ◽  
Seonghwan Jeong ◽  
Arthur H. Lee
Keyword(s):  
Model Checking ◽  
Smart Grid ◽  
Quantitative Model
Sign in / Sign up

Export Citation Format

Share Document