Wednesday, Feb 20th 2019, 10:00am SGT
Duration: 1 hour
Today, more and more manufacturers and other organizations use MATLAB® to develop and deploy monitoring and predictive maintenance software. With MATLAB they can analyze and visualize big data sets, implement advanced machine learning algorithms, and run the algorithms in a production cloud environment. MATLAB provides an end-to-end solution for predictive maintenance.
With MATLAB you can:
• Access and preprocess data from a variety of sources
• Develop predictive models using machine learning techniques
• Create dashboards for visualizing and interacting with the model results
• Deploy predictive maintenance algorithms in production systems and embedded devices
Ian M. Alferez is the Lead Application Engineer at Techsource Asia. He specializes in in the field of embedded system (embedded coder configuration), data analytics (Machine Learning) and technical computing with Matlab/Simulink. He holds a Bachelor of Science in Electronics and Communication Engineering from the University of San Carlos in Cebu, Philippines. Before joining Techsource Asia, he was working as a Software Development Engineer at Lear Corporation where he refined his skill in Model Based Design with regards to the Verification and Validation Workflow and Embedded Software / Hardware.
As he progressed in his career with Techsource, he has built his forte in:
Production Code Customization, Optimization and Generation with Simulink
MATLAB / Simulink Algorithm for Auto Code Generation and Hardware Target Deployment
https://www.speedgoat.com (Real Time Hardware) for Rapid Prototyping / Hardware in the loop
Customizing the Auto Test Generation / Property Proving with SLDV (Formal Methods)
Data Analytics / Machine Learning -> Deployment with Embedded Systems (MCU and FPGA)
Deep Learning -> Deployment with OpenCV and GPU Coder