Short Course 1 - Challenges to understand acoustics in 4 hours?!

Tutorial Abstract

How long do we need to understand acoustics? It is challenging question which never be answered, or considered to be not worth to work with. Introducing three basic physical measures: sound pressure, fluid particle velocities, and fluctuating medium density: how they are linked and communicate, this course opens a window to see how acoustics looks like. The window is “acoustic impedance.” We hope it provides to see the way to see radiation, scattering, reflection, and refraction in terms of the impedance. The question of “4 hours” can be answered to whom attend the course.

Lecturer

Yang-Hann Kim

Professor Emeritus, KAIST http://soundmasters.kaist.ac.kr

Chairman, SQAnd http://sqand.net

email: yanghann@kaist.ac.kr

He is author of Sound Propagation: An Impedance Based Approach, published by John Wiley and Sons(2010), and one of authors of “Sound Visualization and Manipulation,” by the Wiley: second author is Jung-Woo Choi in Electrical Engineering Dept. of KAIST, 2013 August., and Springer Handbook of Acoustics: Part 26. Acoustic Holography (Springer, 2007)

His online lectures on “Introduction to Acoustics, Part 1, and 2,” have been widely registered, almost 8000, about 6000 for Part 1, over 5 years in Coursera. He also launched, vibration courses in Coursera: Introduction to Basic Vibrations, Introduction to Advance Vibrations, 1 year ago.

Since having Ph.D. at M.I.T., He has been focusing on two areas in acoustics: sound visualization and manipulation. His focused research areas have made it possible to publish many papers, receive awards from many professional societies, including Rossing Prize from Acoustical Society of America.

Time & Date

23 Sunday, August
10:00~12:00
(12:00~13:00 Lunch time, Lunch is served only to the people who already registered)
13:00~15:00

Tutorial Material

The course materials are based on the book, “Sound Propagation: An Impedance Based Approach,” John Wiley and Sons, 2010. It is available in university libraries, well know bookstores, or you may use internet bookstores. Power point course materials are also available for the registered attendances.

Registration Fee

*The course will open only if more than 10 people register.
*You need to register first for the tutorial material and the lunch.
*Registration fee

Short Course 2 - Deep Learning for Noise/Vibration Engineering

Tutorial Abstract

Deep learning, considered as one of the breakthrough technologies in machine learning in recent years, has attracted tremendous research attention in both academia and industrial communities. It involves learning good representations of data through multiple levels of abstraction, and can discover complicated underlying structure and features, thus achieving an improved predictive performance. As a result, noise and vibration community also starts to apply deep learning technologies to their applications. In this tutorial, I will first provide an overview of deep learning technology including ANN, CNN, RNN, and Autoencoder. In particular, the basic python codes with the TensorFlow library will be shared and explained during the tutorial. This tutorial can help more researchers in this community to understand the philosophy of deep learning and to utilize the provided codes in their practices. Ultimately, I hope this tutorial can stimulate more research interests towards deep learning technology within our community.

-Deep learning (ANN, CNN, RNN, Autoencoder)
-Demo with vibration data from rotating machinery
-Python codes with TensorFlow will be provided.

Lecturer

Seungchul Lee

Assistant Professor, Pohang University of Science and Technology (POSTECH)

email: seunglee@postech.ac.kr

Prof. Seungchul Lee is an assistant professor at the department of Mechanical Engineering and an adjunct professor at the department of Industrial and Management Engineering at Pohang University of Science and Technology (POSTECH), Korea. His research focuses on industrial artificial intelligence with mechanical systems, deep learning for machine healthcare, IoT-based smart manufacturing, and robotics. He extends his research work to developing self-sustainable systems via an intelligent, informatics, and industrial IoT system design at POSTECH. He received the B.S. (2001) and Ph.D. (2010) in Mechanical Engineering from Seoul National University, Korea, and from the University of Michigan, USA, respectively.

Time & Date

23 Sunday, August
10:00~12:00
(12:00~13:00 Lunch time, Lunch is served only to the people who already registered)
13:00~15:00

Tutorial Material

Available at http://iai.postech.ac.kr/index.php/tutorials/

Registration Fee

*The course will open only if more than 10 people register.
*You need to register first for the tutorial material and the lunch.
*Registration fee

Congress Secretariat
Technical program: internoise2020@ksnve.org
Registration, Sponsorship & Exhibition: internoise2020_info@ksnve.org
Address: P.O.D Communications Inc.W-1002~1003, 11, Dangsan-ro 41-gil, Yeongdeungpo-gu, Seoul, 07217, Rep. of KOREA
Tel: 82-2-325-1715
Fax: 82-2-325-1719
Hosted by
The Korean Society for Noise and Vibration Engineering
President: MOON KYU KWAK
Address: #1406 Renaissance Officetel, 69, Seochojungang-ro, Seocho-gu, Seoul, 06651, Rep. of KOREA
T. +82. 2. 3474. 8002
Business License No. : 220-82-00575
on behalf of
In conjunction with
Hosted by
The Korean Society for Noise and Vibration Engineering
President: MOON KYU KWAK
Address: #1406 Renaissance Officetel, 69, Seochojungang-ro, Seocho-gu, Seoul, 06651, Rep. of KOREA
T. +82. 2. 3474. 8002
Business License No. : 220-82-00575
on behalf of
In conjunction with
Congress Secretariat