scilab cloud
TRANSCRIPT
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Scilab Cloud
Deploy algorithms
G/EO/17,014
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Scilab – Highlights
• Scilab® is competitive with Matlab®, but open-source and freeScilab® Xcos is an alternative to Simulink® for control systems simulation
• Scilab has a 1M+ user community worldwide
• Scilab Cloud enables the deployment of scientific applications
• The Scilab Team joined ESI Group in February 2017
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Scilab – What do we offer
• Professional services Development of applications leveraging Scilab, Scilab training, Scilab support
• Cloud servicesScilab Cloud for the deployment of applications (on-premises/private or public cloud)
• Software solutionsOfferings which extend the power of existing ESI software with Scilab & Scilab Cloud
(Pre/post-processing, coupling with third-party simulation codes, simple apps..)
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Scilab functional overview
ApplicationDevelopment& Deployment
Algorithms
Data
User Interface
Packaged Engineering App
Maths-basedModel
VisualizationOptimization
Code generation
0D/1D Modeling & Simulation Scientific Data Analytics
Post-processingStatistics
Image processing
Data-drivenModel
Machine LearningModel Reduction
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Hands-on demonstration
Weather application & algorithms
Algorithms
Data
User Interface
Packaged Engineering App
Algorithms
Data
Packaged Engineering API
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User InterfaceAlgorithms/ScriptsData
+ Leverage legacy code with API for Java, C and C++
Application development
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Application deployment
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Scilab Cloud Overview
© Scilab Enterprises
Scilab Cloud
Private Cloud / Public Cloud
Simulation Web App (Web Interface & Algorithms)
Simulation Web Service(API & Algorithms)
Scilab Cloud App (Web GUI or API)Scilab
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Develop a function in Scilab
In your desktop environment
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Import Local Data
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Write a Scilab function
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Package your functions in a toolbox
- etc/
- myToolbox.quit
- myToolbox.start
- macros/
- buildmacros.sce
- myFirstFunction.sci
- builder.sce
- cleaner.sce
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Deploy a web services with Scilab Cloud
In your cloud administration
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Weather API
Demonstration 1
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Adding a new function to the API
url_fft="https://scilab.cloud/rest/scilab/testapi/83/fftOnDat";A=csvRead('sensor-data.csv’);L=list(A(:,12));data1.inputs=L;data1.token=token;tic();out=http_post(url_fft, data1),toc()L=[1:134]’; plot(L,[A(:,12) out.outputs'])
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Chemkin Thermodynamic database interpolated by NASA polynomials
Demonstration 2
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Description of the algorithms
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Description of the database
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Connected desktop app
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Model Order Reduction
Demonstration 3
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Model Order Reduction – POD interpolation
NewPInterp = RBF_interpolation(DOE, lrnPlan, NewParam)
DOE + lrnPlan NewParam + NewInterp
