Deep learning based multi-platform report models for smart factory = 딥러닝에 기반한 지능형 공장의 멀티 플랫폼 보고서 모델

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 311
  • Download : 0
Highly advanced modern Information Technologies are causing big changes in mass production industries and opening $4^{th}$ Industrial Revolution (Industry 4.0) which are based on intelligence smart factory. Artificial Intelligence is expected to do her duties not only on production automation and management, but also production data interpretation and inference which are traditionally considered as the rights that adhere to man. In this thesis, the author proposes the machine learning based methods which execute characterized products data classification and deduction in semiconductor production line. And also suggest modeling which could increase production yield and maintenance efficiency on this basis. Additionally, we study the translated data conversion to post final report types which are suitable for human recognition.
Advisors
Lee, Min-Hwaresearcher이민화researcher
Description
한국과학기술원 :과학저널리즘대학원프로그램,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 과학저널리즘대학원프로그램, 2017.2,[iv, 83 p. :]

Keywords

4th Industrial Revolution; Artificial Intelligence; Machine Learning; Production Line; Report; 4차 산업혁명; 인공지능; 머신 러닝; 생산 라인; 보고서

URI
http://hdl.handle.net/10203/242746
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675069&flag=dissertation
Appears in Collection
SJ-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0