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MATLAB and Simulink are actively being adopted in agricultural machinery and blood sugar management systems.

Google 우선 소스Published2017.04.28 15:02

MathWorks Expo 2017 to feature technical sessions and demo booths showcasing MATLAB and Simulink.
From self-driving cars to blood glucose monitoring devices that don't require blood draws, all with MATLAB and Simulink.

Self-driving cars, robots, and drones are equipped with autonomous technology, which is necessary for creating movement and decision-making algorithms.

"Autonomous technology isn't just about that," said MathWorks Director Jason Gidela at a MathWorks press conference held at the COEX InterContinental Hotel on the 27th.

He said, “It is being used in various industrial businesses such as art analysis, oil extraction plants, blood sugar meters, and farm cultivation.” He said that autonomous technology can ▲ recognize how much autonomy to make, ▲ predict whether to use data-driven, model-driven, or integrated, ▲ select necessary information, obtain additional information through simulation when information is insufficient, and ▲ figure out how to utilize embeddedness for commercialization.



For example, Bigfoot's blood sugar monitor utilizes all four functions. It's a device that monitors insulin levels in diabetics without drawing blood, and patients input data into the app, such as what they eat and what exercise they do. Data from approximately 50 million people collected daily is obtained through Simulink simulations of various environments, including each patient's habits and age.

In another example, CNH, an agricultural machinery company, has introduced autonomous technology into harvesting. The harvested product is automatically loaded onto the machine. The machine automatically adjusts the opening and height of the poles, and even changes them when the trailer is full. Previously, field testing was difficult due to the short harvest season for agricultural products. Now, CNH uses a 3D simulator to test algorithms on a computer, recreating real-world conditions to enable sophisticated on-site operations. According to a field operator, "It was like a test."

"Other companies are already leveraging big data for machine learning, but MathWorks' strength lies in its integration," said Jason Gidela, director of MathWorks. "We can leverage MATLAB and Simulink to achieve both data-driven and model-driven approaches. This is why NASA and aerospace companies use MathWorks."

"MathWorks Korea CEO Jongmin Lee said, "At MathWorks, we understand what our customers need and where to focus our efforts to achieve optimal programming. I believe this event was a great opportunity to demonstrate that MathWorks ultimately provides solutions to enhance the competitiveness of entire companies. We will continue to spare no effort in fostering a related ecosystem and providing technical support."

Approximately 700 industry professionals and engineers attended MATLAB Expo 2017 Korea. Technical sessions were divided into three tracks: ▲Signal Processing, Computer Vision, and Wireless Technology ▲Engineering Data Analysis and Analytics Solutions ▲Embedded System Development through Model-Based Design. At the demo booth, you could see and experience demos from related companies, including drones using MATLAB and Simulink, live radar demos, and introductions to the Live Editor.
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