A Virtual Verification Environment for the Sequence Control System Using VRML and JAVA

1999 ◽  
Author(s):  
Satoshi Kanai ◽  
Takeshi Kishinami
Keyword(s):  
Control System ◽  
Dynamic Behavior ◽  
State Transition ◽  
Visual Simulation ◽  
Transition Model ◽  
Simulation Tool ◽  
Object Model ◽  
State Transition Model ◽  
Implementation Method

Abstract This paper describes a visual simulation tool for reliable off-line development, verification and debugging of the control code of the Programmable Logic Controller (PLC) in the sequence control system. First, we discuss the uniform modeling method of the dynamic behavior of various components in a factory (actuators, sensors, operating panels, etc.) as the object model and state transition model. Then we propose the implementation method of the object model by VRML and JAVA. They enable us to uniformly describe the state-transition and corresponding dynamic behavior of the 3-D geometry of each object model. Moreover, we can use a standard VRML viewer which has the event-driven execution mechanism as a visual simulation tool. The effectiveness of proposed implementation and simulation is confirmed through the case study on the co-simulation of combining the component model with a real PLC.

scholarly journals EXPERIENCE WITH FORMAL VERIFICATION OF SDL PROTOCOLS

2014 ◽  
pp. 63-68
Author(s):  
Marius Minea ◽  
Cornel Izbasa ◽  
Calin Jebelean
Keyword(s):  
Formal Verification ◽  
Formal Methods ◽  
State Transition ◽  
Communication Protocols ◽  
Transition Model ◽  
Network Systems ◽  
State Transition Model

This paper presents a case study in the application of formal methods to the verification of communication protocols. We analyze one component block of telephone switching software developed in the SDL language at Alcatel Network Systems Romania. We use the IF toolset from VERIMAG Grenoble to build a state-transition model of the system and verify selected properties. We present the steps performed for translation and verification and discuss the potential for automating the process and using it on a larger scale.

scholarly journals The use of Markov Chain method to determine spare transformer number and location

2019 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Musa Partahi Marbun ◽  
Ngapuli Irmea Sinisuka ◽  
Nanang Hariyanto
Keyword(s):  
Markov Chain ◽  
Steady State ◽  
State Transition ◽  
State Probability ◽  
Transition Model ◽  
Steady State Probability ◽  
Actual Result ◽  
Markov Chain Method ◽  
State Transition Model

<span lang="EN-US">The purpose of this study is to develop a method to determine spare transformer number and location. Using Markov Chain method, state transition model and steady state probability was used on each 500-kV substation in order to analyze the effect of spare number and location variation with the reliability changes.  To give an actual result of the case study, calculation of spare transformer number and location on 500/150 kV transformers in Java Bali System was analyzed. The steady state probability results will vary depending on the number of spare transformer, these results can then be used to assess the spare transformer needed. The variation of spare transformer location can be used to analyze the best possible location of the spare in order to satisfy the reliability required. The methodology presented shows an integrated calculation for determining the spare transformer number and location.</span>

scholarly journals Exploring the Cost Effectiveness of Shared Decision Making for Choosing between Disease-Modifying Drugs for Relapsing-Remitting Multiple Sclerosis in the Netherlands: A State Transition Model

2020 ◽  
Vol 40 (8) ◽  
pp. 1003-1019
Author(s):  
Ingrid E. H. Kremer ◽  
Mickael Hiligsmann ◽  
Josh Carlson ◽  
Marita Zimmermann ◽  
Peter J. Jongen ◽  
...  
Keyword(s):  
Decision Making ◽  
Cost Effectiveness ◽  
Shared Decision Making ◽  
State Transition ◽  
Transition Model ◽  
Shared Decision ◽  
Relapsing Remitting ◽  
State Transition Model ◽  
The Cost ◽  
Relapsing Remitting Multiple Sclerosis

Background Up to 31% of patients with relapsing-remitting multiple sclerosis (RRMS) discontinue treatment with disease-modifying drug (DMD) within the first year, and of the patients who do continue, about 40% are nonadherent. Shared decision making may decrease nonadherence and discontinuation rates, but evidence in the context of RRMS is limited. Shared decision making may, however, come at additional costs. This study aimed to explore the potential cost-effectiveness of shared decision making for RRMS in comparison with usual care, from a (limited) societal perspective over a lifetime. Methods An exploratory economic evaluation was conducted by adapting a previously developed state transition model that evaluates the cost-effectiveness of a range of DMDs for RRMS in comparison with the best supportive care. Three potential effects of shared decision making were explored: 1) a change in the initial DMD chosen, 2) a decrease in the patient’s discontinuation in using the DMD, and 3) an increase in adherence to the DMD. One-way and probabilistic sensitivity analyses of a scenario that combined the 3 effects were conducted. Results Each effect separately and the 3 effects combined resulted in higher quality-adjusted life years (QALYs) and costs due to the increased utilization of DMD. A decrease in discontinuation of DMDs influenced the incremental cost-effectiveness ratio (ICER) most. The combined scenario resulted in an ICER of €17,875 per QALY gained. The ICER was sensitive to changes in several parameters. Conclusion This study suggests that shared decision making for DMDs could potentially be cost-effective, especially if shared decision making would help to decrease treatment discontinuation. Our results, however, may depend on the assumed effects on treatment choice, persistence, and adherence, which are actually largely unknown.

Experience with Formal Specifications Using an Extended State Transition Model

1982 ◽  
Vol 30 (12) ◽  
pp. 2506-2513 ◽  
Author(s):  
G. Bochmann ◽  
E. Cerny ◽  
M. Gagne ◽  
C. Jard ◽  
A. Leveille ◽  
...  
Keyword(s):  
State Transition ◽  
Transition Model ◽  
Formal Specifications ◽  
Extended State ◽  
State Transition Model
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