- 1. 서론
- 2. 자가학습형 공장과 혼용학습
- 3. 자가학습형 공장 구현 메커니즘
- 4. 구현
- 5. 결론
http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
https://www.riss.kr/link?id=A106102453
2019
Korean
555
SCOPUS,KCI등재
학술저널
391-400(10쪽)
0
0
상세조회0
다운로드목차 (Table of Contents)
참고문헌 (Reference)
1 신승준, "사이버-물리 제조시스템의 지능적 의사결정을 위한 데이터 및 모델 연계 홀로닉 구조 개발" 대한산업공학회 43 (43): 451-463, 2017
2 Adolphs, P., "Status Report-Reference Architecture Model Industrie 4. 0(Rami4. 0)"
3 MIT Critical Data, "Secondary Analysis of Electronic Health Records" Springer International Publishing 115-141, 2016
4 Brussel, H. V., "Reference Architecture for Holonic Manufacturing Systems : PROSA" 37 (37): 255-274, 1998
5 Iwamura, K., "Real-Time Scheduling for Holonic Manufacturing Systems Based on Estimation of Future Status" 44 (44): 3657-3675, 2006
6 Nannapaneni, S., "Performance Evaluation of a Manufacturing Process Under Uncertainty Using Bayesian Networks" 113 : 947-959, 2016
7 Camposeco-Negrete, C., "Optimization of Cutting Parameters Using Response Surface Method for Minimizing Energy Consumption and Maximizing Cutting Quality in Turning of AISI 6061 T6 Aluminum" 91 : 109-117, 2015
8 Li, L., "Multi-Objective Optimization of Cutting Parameters in Sculptured Parts Machining Based on Neural Network" 26 (26): 891-898, 2015
9 Balcázar, J. L., "Machine Learning and Knowledge Discovery in Databases" Springer-Verlag Berlin Heidelberg 547-562, 2010
10 신승준, "MTConnect를 활용한 수치제어 프로그램의 에너지 예측 모델링" 한국정밀공학회 34 (34): 355-362, 2017
1 신승준, "사이버-물리 제조시스템의 지능적 의사결정을 위한 데이터 및 모델 연계 홀로닉 구조 개발" 대한산업공학회 43 (43): 451-463, 2017
2 Adolphs, P., "Status Report-Reference Architecture Model Industrie 4. 0(Rami4. 0)"
3 MIT Critical Data, "Secondary Analysis of Electronic Health Records" Springer International Publishing 115-141, 2016
4 Brussel, H. V., "Reference Architecture for Holonic Manufacturing Systems : PROSA" 37 (37): 255-274, 1998
5 Iwamura, K., "Real-Time Scheduling for Holonic Manufacturing Systems Based on Estimation of Future Status" 44 (44): 3657-3675, 2006
6 Nannapaneni, S., "Performance Evaluation of a Manufacturing Process Under Uncertainty Using Bayesian Networks" 113 : 947-959, 2016
7 Camposeco-Negrete, C., "Optimization of Cutting Parameters Using Response Surface Method for Minimizing Energy Consumption and Maximizing Cutting Quality in Turning of AISI 6061 T6 Aluminum" 91 : 109-117, 2015
8 Li, L., "Multi-Objective Optimization of Cutting Parameters in Sculptured Parts Machining Based on Neural Network" 26 (26): 891-898, 2015
9 Balcázar, J. L., "Machine Learning and Knowledge Discovery in Databases" Springer-Verlag Berlin Heidelberg 547-562, 2010
10 신승준, "MTConnect를 활용한 수치제어 프로그램의 에너지 예측 모델링" 한국정밀공학회 34 (34): 355-362, 2017
11 Shen, W., "Enhancing the Performance of an Agent-Based Manufacturing System Through Learning and Forecasting" 11 (11): 365-380, 2000
12 Shin, S. J., "Energy Efficiency of Milling Machining : Component Modeling and Online Optimization of Cutting Parameters" 161 : 12-29, 2017
13 Barbosa, J., "Dynamic Self-Organization in Holonic Multi-Agent Manufacturing Systems : The Adacor Evolution" 66 : 99-111, 2015
14 Wang, J., "Deep Learning for Smart Manufacturing : Methods and Applications" 144-156, 2018
15 Monostori, L., "Cyber-Physical Systems in Manufacturing" 65 (65): 621-641, 2016
16 Rajkumar, R., "Cyber-Physical Systems : The Next Computing Revolution" 731-736, 2010
17 Aramcharoen, A., "Critical Factors in Energy Demand Modelling for CNC Milling and Impact of Toolpath Strategy" 78 : 63-74, 2014
18 Shen, W., "Applications of Agent-Based Systems in Intelligent Manufacturing : An Updated Review" 20 (20): 415-431, 2006
19 Monostori, L., "Ai and Machine Learning Techniques for Managing Complexity, Changes and Uncertainties in Manufacturing" 16 (16): 277-291, 2003
20 Pan, S. J., "A Survey on Transfer Learning" 22 (22): 1345-1359, 2010
21 Leitão, P., "A Holonic Disturbance Management Architecture for Flexible Manufacturing Systems" 49 (49): 1269-1284, 2011
22 Priore, P., "A Comparison of Machine-Learning Algorithms for Dynamic Scheduling of Flexible Manufacturing Systems" 19 (19): 247-255, 2006
Tolerance Analyses of Case/Stator for the Assembly and Remanufacturing of Motor
학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2023 | 평가예정 | 해외DB학술지평가 신청대상 (해외등재 학술지 평가) | |
2020-01-01 | 평가 | 등재학술지 유지 (해외등재 학술지 평가) | ![]() |
2013-01-01 | 평가 | 등재학술지 유지 (등재유지) | ![]() |
2010-01-01 | 평가 | 등재학술지 유지 (등재유지) | ![]() |
2008-06-23 | 학회명변경 | 영문명 : Korean Society Of Precision Engineering -> Korean Society for Precision Engineering | ![]() |
2008-01-01 | 평가 | 등재학술지 유지 (등재유지) | ![]() |
2006-07-07 | 학술지명변경 | 외국어명 : 미등록 -> Journal of the Korean Society for Precision Engineering | ![]() |
2006-01-01 | 평가 | 등재학술지 유지 (등재유지) | ![]() |
2004-01-01 | 평가 | 등재학술지 유지 (등재유지) | ![]() |
2001-01-01 | 평가 | 등재학술지 선정 (등재후보2차) | ![]() |
1998-07-01 | 평가 | 등재후보학술지 선정 (신규평가) | ![]() |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0.26 | 0.26 | 0.26 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0.24 | 0.22 | 0.449 | 0.12 |