Tangible engineering
When an engineer can picturize concepts and theories in his/her mind and explain them simply, theories can become powerful tools. This channel, maintained by Prof. Yalin Dong from University of Akron, works towards making basic concepts and theories tangible.
AI Vision Enabled Self Scoring Cornhole System.
Unitree go2 pro at UAkron
Course project for Control Systems Design
Senior Design Project: Equip Boston Dynamics Spot with AI vision
Module 5.2 Algorithm Chain and Pipeline for Machine Learning
Recover closed details and/or outline panel in ANSYS model.
Chapter 3: ANSYS 2021 model beam system(frame)
Module 2.1 Python Basics (Part 3 String)
Module 2.1 Python Basics (Part 2 if for )
Module 2.1 Python basics (part 1)
Module 1.2: The first Machine Learning Application: Iris Species Classification
Module 1.1 Create a machine learning programming environment based on anaconda.
Module 2.2 Math Preparation Calculus
Module 2.1 Hydrostatic pressure
Module 1.2 problem session for viscosity
Module 1.1 Definition of fluid and viscosity
Dimensional Analysis
Virtual control LAB setup for course project
Linear Momentum Equation with non-uniform velocity
Module 8: lead compensator design using MATLAB
Module 3: transfer function for multiple input and multiple output system (MIMO)
Module 3: transfer function for single input and single output (SISO) system.
Module 2: MATLAB Simulink model a two-mass mechanical system with unit impulse input
Module 2: Simulink block diagram for one-mass mechanical system
Module 1: Solve differential equation using symbolic math toolbox
Chapter 1: Energy method for 1D spring system
Chapter 1: ANSYS with overlapped tab and small font size issue
Senior Design Project Fall 2021: Rust Prevention
Boston Dynamics Spot Introduction
Spot walks through a narrow door