SysMPy 0.0.1

A library for System Modeling Runtime Environment(SMRE)

SysMPy

About

SysMPy is an open-source library for System Modeling Runtime Environment (SMRE), an integrated software environment which offers several built-in libraries to support systems analysis and design, based on a convenient systems modeling script language, which forms a fundamental building block of SMRE.

Systems Modeling Script (SMS)

Example 1: Three action nodes

SMS has a simple form as shown the following code. To define a process, a class Process(.) can be used. The return object from it provides a built-in function Action(.). By including the name of an Action, the Action node is defined along the process.

from entity import *

p = Process("Process")
act1 = p.Action("Action1")
act2 = p.Action("Action2")
act3 = p.Action("Action3")

The following figure shows an illustrative graph from the above code.

                +---------------+
                |               |
                |     start     |
                |               |
                +---------------+
                        | Process
                        |
                +---------------+
                |               |
                |     Action1   |
                |               |        
                +---------------+        
                        |
                        |
                +---------------+
                |               |
                |     Action2   |
                |               |        
                +---------------+        
                        |
                        | 
                +---------------+
                |               |
                |      End      |
                |               |
                +---------------+

After building the model, we can run a simulation. To execute the simulation, asyncio.run(.) is used with the built-in function sim() of the process p.

asyncio.run(p.sim())

Prerequisites

The following pakages are needed to run the library.

• requests
• numpy
• tornado
• python for matlab

Members

Developers:

• Dr. Cheol Young Park
• Dr. Shou Matsumoto
• Mr. DaePhil Han
• Mr. EunHak Lee
• Mr. SeongRae Lim
• Mr. Hong Gyu Han

Advisers:

• Prof. Joongyoon Lee
• Dr. GwanTaik Lim
• Prof. YoungWon Park