Ajou University repository

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Showing results 1 to 10 of 1113 (Search time: 0.0 seconds).

Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole deviceoa mark
  • Antwi-Afari, Maxwell Fordjour;
  • Anwer, Shahnawaz;
  • Umer, Waleed;
  • Mi, Hao Yang;
  • Yu, Yantao;
  • Moon, Sungkon;
  • Hossain, Md Uzzal
  • 2023-01-01
  • International Journal of Industrial Ergonomics, Vol.93
  • Elsevier B.V.
교대근무 간호사의 수면장애, 피로와 이직의도
  • 윤재호
  • 2021-02
  • The Graduate School, Ajou University
코로나19 환자를 간호하는 간호사의 피로, 사회적지지와 소진
  • 이선영
  • 2023-08
  • The Graduate School, Ajou University
Very high cycle fatigue on gas metal arc butt-welded AA6061-T6 plates
  • 2023-12-01
  • Journal of Mechanical Science and Technology, Vol.37, pp.6649-6655
  • Korean Society of Mechanical Engineers
SCM440H 금형강의 표면처리에 따른 피로특성의 연구
  • 염현호
  • 2014-02
  • The Graduate School, Ajou University
Ultrasonic fatigue analysis of 3D-printed carbon fiber reinforced plasticoa mark
  • 2022-11-01
  • Heliyon, Vol.8
  • Elsevier Ltd
Recent advances in very high cycle fatigue behavior of metals and alloys—a reviewoa mark
  • 2020-09-01
  • Metals, Vol.10, pp.1-23
  • MDPI AG
Wearable Sensing Technology Applications in Construction Safety and Health
  • Ahn, Changbum R.;
  • Lee, Sang Hyun;
  • Sun, Cenfei;
  • Jebelli, Houtan;
  • Yang, Kanghyeok;
  • Choi, Byungjoo
  • 2019-11-01
  • Journal of Construction Engineering and Management, Vol.145
  • American Society of Civil Engineers (ASCE)
In-situ fatigue monitoring procedure using nonlinear ultrasonic surface waves considering the nonlinear effects in the measurement systemoa mark
  • 2019-06-01
  • Nuclear Engineering and Technology, Vol.51, pp.867-876
  • Korean Nuclear Society
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