earticle

논문검색

<학술연구>

과도유동 해석을 위한 CNN에서의 이미지 변환방법

원문정보

Image Conversion Methods in CNN for Transient Flow Analysis

박진현, 이태환

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

To apply CNN to a fluid problem, we need a method to effectively convert the physical quantities of fluid into an image. The performance of CNN was evaluated using the image transformation method using the minimum and maximum values of the pressure distribution data and the image transformation methods using the normal distribution of the pressure distribution data. Through the performance evaluation of the learned CNN, the image transformation methods of Method 4 and Method 5, which applied the normal distribution of representative pressure distribution data, were very effective. In particular, Method 5 includes the initial and final pressure distribution data to include overall pressure distribution data, thereby improving the resolution of the color map to improve classification performance.

목차

ABSTRACT
1. 서론
2. 압력분포 해석
3. CNN 및 이미지 변환
3.1 CNN 설계
3.2 압력분포의 이미지 변환
4. 결과 및 검토
5. 결론
후기
References

저자정보

  • 박진현 Jin-Hyun Park. Mechatronics Eng., Gyeongnam Nat'I Univ. of Science and Technology
  • 이태환 Tae-Hwan Lee. Member, Mechatronics Eng., Gyeongnam Nat'I Univ. of Science and Technology

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.