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2022-09-14-MATLABDay_SREC.pptx
- 1. 1 © 2023 TheMathWorks, Inc. with help from > 100 MathWorkers MATLAB Day - Introduction to MATLAB & Simulink Sri Ramakrishna Engineering College 14th September 2022 Anand Mukhopadhyay, PhD Customer Success Engineer Education Team, MathWorks amukhopa@mathworks.com Niveitha Mohankumar Customer Success Specialist Education Team, MathWorks nmohanku@mathworks.com Arul Selvan Account Manager Education Team, MathWorks aselvan@mathworks.com Lokesh Kantam Application Engineer DesignTech Systems lokesh.kantam@designtechsys.com Senthuram R Senior Manager, Sales DesignTech Systems senthuran.r@designtechsys.com Niveitha Mohankumar Customer Success Specialist Education Team, MathWorks nmohanku@mathworks.com Lokesh Kantam Application Engineer DesignTech Systems lokesh.kantam@designtechsys.com
- 2. 3 Agenda Time Outline 10:00 AM- 10:30 AM 10:40 AM - 12:30 PM How to access MATLAB campus License & MATLAB Portal Demonstration. MathWorks Resources for Students through Campus-Wide License. MATLAB for Engineers Introduction to MATLAB Approaching Artificial Intelligence applications Model Based Design approach Hardware Integration workflows Resources to get started Briefing on: 1.On-ramp challenge 2.MATLAB Cody competition Q/A 12:30-1:30pm Lunch Break 1:30-2:30 pm Onramp Challenge Tea Break 2:30-2:40pm 2:40-3:30pm Cody Challenge
- 3. 4 MathWorks Today 5000+ staff in 31offices around the world 4 million+ users in more than 185 countries and profitable every year Privately held Headquarters Natick, MA USA Europe France Germany Ireland Italy Netherlands Spain Sweden Switzerland UK Asia-Pacific Australia China India Japan Korea North America United States businesses, governments, and universities 100,000+
- 4. 5 The leading environmentfor technical computing The industry-standard, high-level programming language for algorithm development, numeric computation, data analysis and visualization The leading environment for modeling, simulating, and implementing dynamic and embedded systems Applications in controls, signal processing, communications, physical modeling, and other system engineering areas
- 5. 6 Our software isused to design the products we rely on every day Commercial Aircraft Smartphones Automobiles Consumer Goods
- 6. 7 Advanced Prosthetics Autonomous Robots ReusableRockets Clean Energy And the breakthroughs transforming how we live, learn, and work
- 7. 9 What is MATLAB? Used for: – Numerical computation – Data analysis and visualization – Algorithm development and programming – Application development and deployment High-level language Interactive development environment
- 8. 10 Automate Technical Computing Workflow Share/Deploy Applications& Embedded Systems Code generation Reporting & Documentation Reporting Deployment & Scalability Big Data, HPC Explore & Analyze & Prototype Algorithm Development Signal Processing Statistics & Machine Learning Video Processing & Computer Vision Spreadsheets & Data Analytics Biological Sequence Analysis Text Analysis Modeling & Simulation Image Processing Files Access, Acquire Access files Software or Web Code & Applications Software, Web Hardware & Scientific Instruments Data acquisition Instrument control
- 9. 11 MATLAB Live Script Colleaguewith MATLAB HTML PDF EX1_Demo Live Script
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- 11. 13 Set-Up Instructions Setup a MathWorks account if you don’t have one – please use Google Chrome browser – go to https://www.mathworks.com/mwaccount/ Copy the materials via the MATLAB Drive – go to https://drive.matlab.com/sharing/62017db2-72c2-4629-9e70-818651a44e1c – Click on Add to my Files/Copy Folder – You should see a separate folder saying “Owned By: Me” (on the right-hand side)
- 12. 14 Get Demo filesfrom MATLAB Drive Step 1 Step 2
- 13. 15 Agenda Time Outline 10:00 AM- 10:30 AM 10:40 AM - 12:30 PM How to access MATLAB campus License & MATLAB Portal Demonstration. MathWorks Resources for Students through Campus-Wide License. MATLAB for Engineers Introduction to MATLAB Approaching Artificial Intelligence applications Model Based Design approach Hardware Integration workflows Resources to get started Briefing on: 1.On-ramp challenge 2.MATLAB Cody competition Q/A 12:30-1:30pm Lunch Break 1:30-2:30 pm Onramp Challenge Tea Break 2:30-2:40pm 2:40-3:30pm Cody Challenge
- 14. 16 What is AI? 1950s2015 Artificial Intelligence: The ability of a computer to perform tasks commonly associated with intelligent beings like learning or problem-solving. Machine Learning: Learning a task from data without relying on a predetermined equation. (User may need to provide data features.) Deep Learning: Learning from raw data without predetermined features using neural networks with many layers
- 15. 17 is a Leaderin the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms for the Second Year in a Row Gartner Magic Quadrant for Data Science and Machine Learning Platforms, Peter Krensky, Carlie Idoine, Erick Brethenoux, Pieter den Hamer, Farhan Choudhary, Afraz Jaffri, Shubhangi Vashisth,1st March 2021. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from MathWorks. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
- 16. 18 Evolution of ArtificialIntelligence in MATLAB 2016 2017 2018 2019 2020 • CNNs • Pretrained Models • Caffe Importer Name Change • Neural Network Toolbox to Deep Learning Toolbox Algorithms • LSTMs • Directed Acyclic Graphs • Multi-GPU Training Code Generation • GPU Coder Apps • Image Labeler Interoperability • TensorFlow-Keras Importer Examples • Signal Processing • Audio • Text Analytics Algorithms • Wavelet Scattering Code Generation • MATLAB Coder C++ Apps • Deep Network Designer • Video Labeler • Audio Labeler Interoperability • ONNX Support • Reinforcement Learning Algorithms • Automatic Differentiation • Custom Training Loops • Weight Sharing • Big Image Examples • GANs • Siamese Network • Autoencoders • 3-D support • Explainable AI • Occlusion • Grad-CAM Code Generation • MATLAB Coder (ARM) Apps • Signal Labeler • Deep Learning Data Sets Apps • Experiment Manager • Lidar Labeler Examples • 5G / Wireless • Lidar • Over 200+ examples! Algorithms • Point Cloud Explainable AI • Lime Code Generation • Quantization • Deep Learning HDL Coder Model Based Design • Deep Learning in Simulink Before 2016 • Machine Learning techniques • “Shallow” neural networks
- 17. 19 MathWorks Focus onDeep Learning and AI for Engineering and Science Lidar • Lidar Point Cloud Semantic Segmentation • 3-D Object Detection Using PointPillars Radar • Radar Waveform Classification • Pedestrian and Bicyclist Classification Wireless Communications • Modulation Classification • Detect WLAN Router Impersonation Reinforcement Learning • Train Biped Robot to Walk • PMSM Motor Control Computational Finance • Machine Learning for Statistical Arbitrage Medical Imaging • 3-D Brain Tumor Segmentation • Breast Cancer Tumor Classification Audio • Speech Command Recognition • Cocktail Party Source Separation Visual Inspection • Manufacturing Defect Detection • Anomaly Detection for Cloth Manufacturing Automated Driving • Deep Learning Vehicle Detector • Occupancy Grid with Semantic Segmentation Robotics • Avoid Obstacles using Reinforcement Learning Predictive Maintenance • Bearing Prognosis • Pump Fault Diagnosis Land-Use Classification • Semantic Segmentation for Multispectral Images Reinforcement Learning Toolbox™ Communications Toolbox™ Phased Array System Toolbox™ Lidar Toolbox™ Image Processing Toolbox™ Predictive Maintenance Toolbox™ Image Processing Toolbox™ Audio Toolbox™ Automated Driving Toolbox™ Robotics System Toolbox™ Financial Toolbox™ Image Processing Toolbox™
- 18. 20 Types of MachineLearning Machine Learning Supervised Learning Regression Classification Develop predictive model based on both input and output data Type of Learning Categories of Algorithms Objective: Easy and accurate computation of day- ahead system load forecast
- 19. 21 Types of MachineLearning Machine Learning Supervised Learning Regression Classification Develop predictive model based on both input and output data Type of Learning Categories of Algorithms Objective: Train a classifier to classify human activity from sensor data Data: Inputs 3-axial Accelerometer 3-axial Gyroscope Outputs
- 20. 22 Types of MachineLearning Machine Learning Supervised Learning Regression Classification Unsupervised Learning Clustering Develop predictive model based on both input and output data Type of Learning Categories of Algorithms Discover an internal representation from input data only Objective: Given data for engine speed and vehicle speed, identify clusters
- 21. 23 Types of MachineLearning Machine Learning Supervised Learning Regression Classification Unsupervised Learning Clustering Type of Learning Categories of Algorithms Examples of Models Support Vector Machines Discriminant Analysis Naïve Bayes Nearest Neighbor Neural Networks Linear Regression, GLM SVR, GPR Ensemble Methods Decision Trees Neural Networks Neural Networks K-Means, K-Medoids Hierarchical Gaussian Mixture Hidden Markov Model Deep Learning Reinforcement Learning
- 22. 24 Machine Learning andDeep Learning Datatypes Signal Image Text Numeric
- 23. 25 MATLAB Apps AppsTab in MATLAB Ease Most Used Functions across Domains Good for Learning and Demonstrating Concepts Creating an App/UI in MATLAB
- 24. 26 App Designer 1. DefineUI layout 2. Drag & Drop UI elements 3. Develop code for auto-generated callbacks https://in.mathworks.com/videos/app-designer-overview- 1510748719083.html
- 25. 27 Agenda Time Outline 10:00 AM- 10:30 AM 10:40 AM - 12:30 PM How to access MATLAB campus License & MATLAB Portal Demonstration. MathWorks Resources for Students through Campus-Wide License. MATLAB for Engineers Introduction to MATLAB Approaching Artificial Intelligence applications Model Based Design approach Hardware Integration workflows Resources to get started Briefing on: 1.On-ramp challenge 2.MATLAB Cody competition Q/A 12:30-1:30pm Lunch Break 1:30-2:30 pm Onramp Challenge Tea Break 2:30-2:40pm 2:40-3:30pm Cody Challenge
- 26. 28 What is Simulink? Block-diagram environment Model, simulate, and analyze multi-domain systems Design, implement, and test: – Control systems – Signal processing systems – Communications systems – Other dynamic systems Platform for Model-Based Design
- 27. 29 Design Platform forfull Development Process INTEGRATION TEST AND VERIFICATION RESEARCH REQUIREMENTS DESIGN IMPLEMENTATION MCU DSP FPGA ASIC VHDL, Verilog C, C++ Structured Text PLC Link design and requirements Save time and reduce risk with automatic code generation Optimise system- level performance Detect errors earlier by testing earlier Mechanical Embedded Software Control Electrical Models & Simulation Understand system behavior by modeling system and environment in a single platform
- 28. 30 Simulink is ablock diagram environment for multidomain simulation and Model-Based Design
- 29. 31 MATLAB and SimulinkWork Together Combine textual and graphical programming to design your system Add MATLAB code into a Simulink block Create input data with MATLAB to drive model simulations Run simulations in parallel Analyze and visualize data in MATLAB
- 30. 36 Agenda Time Outline 10:00 AM- 10:30 AM 10:40 AM - 12:30 PM How to access MATLAB campus License & MATLAB Portal Demonstration. MathWorks Resources for Students through Campus-Wide License. MATLAB for Engineers Introduction to MATLAB Approaching Artificial Intelligence applications Model Based Design approach Hardware Integration workflows Resources to get started Briefing on: 1.On-ramp challenge 2.MATLAB Cody competition Q/A 12:30-1:30pm Lunch Break 1:30-2:30 pm Onramp Challenge Tea Break 2:30-2:40pm 2:40-3:30pm Cody Challenge
- 31. 37 Examples of MathWorksSupported Hardware Arduino Lego EV3 Texas Instruments STM Electronics Freescale Raspberry Pi BeagleBone Black Android/iOS Devices Kinect for Windows Zynq SDR List of Supported Hardware: https://www.mathworks.com/hardware-support/home.html
- 32. 38 Connect MATLAB andSimulink to Hardware Live Data Streaming to and from Hardware Generating Code and Targeting Hardware
- 33. 39 Connect MATLAB andSimulink to Hardware Live Data Streaming to and from Hardware Generating Code and Targeting Hardware
- 34. 40 Deploy MATLAB Algorithmson Raspberry Pi
- 35. 41 Agenda Time Outline 10:00 AM- 10:30 AM 10:40 AM - 12:30 PM How to access MATLAB campus License & MATLAB Portal Demonstration. MathWorks Resources for Students through Campus-Wide License. MATLAB for Engineers Introduction to MATLAB Approaching Artificial Intelligence applications Model Based Design approach Hardware Integration workflows Resources to get started Briefing on: 1.On-ramp challenge 2.MATLAB Cody competition Q/A 12:30-1:30pm Lunch Break 1:30-2:30 pm Onramp Challenge Tea Break 2:30-2:40pm 2:40-3:30pm Cody Challenge
- 36. 42 Expert Trainers Our instructorspossess unparalleled knowledge of MathWorks products Flexible Training Over 50 courses available around the world, at your work site, or on the web Proven Methods Participants benefit from real-world examples and individualized attention Advance your skills with MATLAB and Simulink courses Get started for free with MATLAB Onramp, then build your skills with our self-paced trainings and instructor-led courses.
- 37. 43 MATLAB Academy Courses– Self-paced, Browser-based, with Certificates Link to Courses
- 38. 44 MATLAB Central Communityfor MATLAB and Simulink users – Over 70k daily visits File Exchange – Access more than 10k free files including functions, apps, examples, and models MATLAB Answers – Ask or search programming questions – 18k+ community-answered Questions Blogs – Read commentary from engineers who design, build, and support MATLAB and Simulink
- 39. 45 MathWorks Excellence inInnovation Projects Accelerating the Pace of Engineering Contribute to the progress of engineering and science by solving key industry challenges! mathworks/MathWorks-Excellence-in-Innovation: Capstone and senior design projects
- 40. 46 Additional resources MATLABand Simulink Tutorials Self paced courses Videos and webinars Getting started with MATLAB Videos App Designer MATLAB Plot Gallery
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- 42. 48 How can Iget started with MATLAB and Simulink? Videos and Webinars - Explore what’s new - Watch demonstrations - Applications / Industries / Capabilities Tutorials - Get started with interactive lessons - Learn MATLAB and Simulink - Examples and Exercises MATLAB Central - Open exchange for user community - MATLAB Answers - File Exchange - Blogs by MathWorkers Onramps - Online, Hands On - Exercises with feedback - Projects with real world applications - 11 Onramps available Instructor Led Trainings - Customized content - Curriculum paths - Fundamentals / Intermediate / Advanced Levels - 78 courses available
- 43. 49 Feedback form For mayfurther contact us with your queries: Anand Mukhopadhyay amukhopa@mathworks.com Arul Selvan aselvan@mathworks.com Niveitha Mohankumar nmohanku@mathworks.com Lokesh Kantam Lokesh.kantam@designtechsys. com Senthuram R senthuran.r@designtechsys.com Feedback - https://tinyurl.com/srecmatlab
- 44. 50 Agenda Time Outline 10:00 AM- 10:30 AM 10:40 AM - 12:30 PM How to access MATLAB campus License & MATLAB Portal Demonstration. MathWorks Resources for Students through Campus-Wide License. MATLAB for Engineers Introduction to MATLAB Approaching Artificial Intelligence applications Model Based Design approach Hardware Integration workflows Resources to get started Briefing on: 1.On-ramp challenge 2.MATLAB Cody competition Q/A 12:30-1:30pm Lunch Break 1:30-2:30 pm Onramp Challenge Tea Break 2:30-2:40pm 2:40-3:30pm Cody Challenge
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