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This work flow chart sample was redesigned from the picture "Simulation for earthquake disaster assessment" from the article "Simulation Workflows".
[iaas.uni-stuttgart.de/ forschung/ projects/ simtech/ sim-workflows.php]
" This simulation was developed to have an in depth understanding of the destructions and the decisions to be made in various phases of crisis management (Source: Mahdi Hashemi and Ali A. Alesheikh (2010). "Developing an agent based simulation model for earthquakes in the context of SDI." GSDI 12 World Conference. 19 – 22 October 2010. Singapour). The simulation process contains following major steps:
(1) All spatial information including satellite images (before and after the earthquake) and topographic/ cadastral maps of the area are mosaicked and georeferenced. The parts of the city that contain various levels of destructions are selected. Three types of features namely buildings, roads and recreational areas are classified and extracted from the satellite images.
(2) The governing factors of destructions are identified; a mathematical model that integrates the factors is constructed.
(3) The simulation is constructed for various parameter values (different earthquake strength, time elapses, etc.)" [iaas.uni-stuttgart.de/ forschung/ projects/ simtech/ sim-workflows.php]
The example "Workflow diagram - Earthquake disaster assessment" was drawn using the ConceptDraw PRO diagramming and vector drawing software extended with the Workflow Diagrams solution from the Business Processes area of ConceptDraw Solution Park.
Work flow chart
Work flow chart, satellite, sand-glass, sandglass, sand glass, puzzle, production, online booking, international division, business meeting, meeting, atom, uranium,
This work flow chart sample was redesigned from the picture "Weather Forecast" from the article "Simulation Workflows".
[iaas.uni-stuttgart.de/ forschung/ projects/ simtech/ sim-workflows.php]
"(1) The weather is predicted for a particular geological area. Hence, the workflow is fed with a model of the geophysical environment of ground, air and water for a requested area.
(2) Over a specified period of time (e.g. 6 hours) several different variables are measured and observed. Ground stations, ships, airplanes, weather balloons, satellites and buoys measure the air pressure, air/ water temperature, wind velocity, air humidity, vertical temperature profiles, cloud velocity, rain fall, and more.
(3) This data needs to be collected from the different sources and stored for later access.
(4) The collected data is analyzed and transformed into a common format (e.g. Fahrenheit to Celsius scale). The normalized values are used to create the current state of the atmosphere.
(5) Then, a numerical weather forecast is made based on mathematical-physical models (e.g. GFS - Global Forecast System, UKMO - United Kingdom MOdel, GME - global model of Deutscher Wetterdienst). The environmental area needs to be discretized beforehand using grid cells. The physical parameters measured in Step 2 are exposed in 3D space as timely function. This leads to a system of partial differential equations reflecting the physical relations that is solved numerically.
(6) The results of the numerical models are complemented with a statistical interpretation (e.g. with MOS - Model-Output-Statistics). That means the forecast result of the numerical models is compared to statistical weather data. Known forecast failures are corrected.
(7) The numerical post-processing is done with DMO (Direct Model Output): the numerical results are interpolated for specific geological locations.
(8) Additionally, a statistical post-processing step removes failures of measuring devices (e.g. using KALMAN filters).
(9) The statistical interpretation and the numerical results are then observed and interpreted by meteorologists based on their subjective experiences.
(10) Finally, the weather forecast is visualized and presented to interested people." [iaas.uni-stuttgart.de/ forschung/ projects/ simtech/ sim-workflows.php]
The example "Workflow diagram - Weather forecast" was drawn using the ConceptDraw PRO diagramming and vector drawing software extended with the Workflow Diagrams solution from the Business Processes area of ConceptDraw Solution Park.
Work flow chart
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The vector stencils library "AWS SDKs" contains 13 Amazon Web Services SDK icons.
Use it to draw Amazon Web Services architecture diagrams.
The AWS icons example "Design elements - AWS SDKs" was created using the ConceptDraw PRO diagramming and vector drawing software extended with the AWS Architecture Diagrams solution from the Computer and Networks area of ConceptDraw Solution Park.
AWS architecture diagram icons
AWS architecture diagram icons, python boto, iOS, Ruby, PHP, Node.js, JavaScript, Java, Android, AWS Toolkit for Windows PowerShell, AWS Toolkit for Visual Studio, AWS Toolkit for Eclipse, AWS CLI, .NET,
This purchase order processing UML activity diagram was created on the base of activity diagram from the software architecture documentation wiki of the Software Engineering Institute (SEI) of Carnegie Mellon University (CMU).
[wiki.sei.cmu.edu/ sad/ index.php/ Image:PurchaseOrderActivityDiagram.png]
"A purchase order (PO) is a commercial document and first official offer issued by a buyer to a seller, indicating types, quantities, and agreed prices for products or services. Acceptance of a purchase order by a seller forms a contract between the buyer and seller, so no contract exists until the purchase order is accepted. It is used to control the purchasing of products and services from external suppliers.
Creating a purchase order is typically the first step of the purchase to pay process in an ERP system." [Purchase order. Wikipedia]
This purchase order processing UML activity diagram example was created using the ConceptDraw PRO diagramming and vector drawing software extended with the ATM UML Diagrams solution from the Software Development area of ConceptDraw Solution Park.
UML activity diagram of purchase order processing
UML activity diagram of purchase order processing , send signal action, initial node, horizontal swimlanes, activity partition, activity group, fork node, join node, decision node, merge node, activity final node, activity edge, object flow edge, action, accept event action,