Ajou University repository

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Showing results 1 to 10 of 292 (Search time: 0.0 seconds).

Development of Accelerated Test Method to Evaluate the Long-Term Thermal Performance of Fumed-Silica Vacuum Insulation Panels Using Accelerated Conditionsoa mark
  • 2023-10-01
  • Materials, Vol.16
  • Multidisciplinary Digital Publishing Institute (MDPI)
High-resolution simulation-based analysis of leading vehicle acceleration profiles at signalized intersections for emission modeling
  • 2020-01-01
  • International Journal of Sustainable Transportation, pp.1-11
  • Taylor and Francis Ltd.
A Robust Test Architecture for Low-Power AI Accelerators
  • 2024-01-01
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Institute of Electrical and Electronics Engineers Inc.
Lifetime estimation for optocouplers using accelerated degradation test
  • Kang, Minkoo;
  • Lee, Sunjae;
  • Park, Heedo;
  • Jang, Joongsoon;
  • Park, Sangchul;
  • Kim, Jong Ho;
  • Yoo, Chan Sei
  • 2022-02-01
  • Quality and Reliability Engineering International, Vol.38, pp.560-573
  • John Wiley and Sons Ltd
OLED 디스플레이의 가속인자와 시험시간
  • 유지선
  • 2018-02
  • The Graduate School, Ajou University
Convolution Neural Networks를 위한 고속 Convolution 알고리즘 과 가속기
  • 김태선
  • 2019-02
  • The Graduate School, Ajou University
Feedback Loop Adaptation Speed Feedback Systems for PMSMs via Angle Filtering and Acceleration Stabilization Techniques
  • 2023-05-01
  • IEEE Transactions on Industrial Electronics, Vol.70, pp.4416-4426
  • Institute of Electrical and Electronics Engineers Inc.
Remaining useful life estimation using accelerated degradation test, a gamma process, and the arrhenius model for nuclear power plants
  • Kang, Minkoo;
  • Lee, Sunjae;
  • Kim, Jong Ho;
  • Yoo, Chan Sei;
  • Jang, Joongsoon;
  • Negatu, Belachew Mekbibe;
  • Park, Sangchul
  • 2022-10-01
  • Journal of Mechanical Science and Technology, Vol.36, pp.4905-4912
  • Korean Society of Mechanical Engineers
Fuel economy improvement of urban buses with development of an eco-drive scoring algorithm using machine learningoa mark
  • 2021-08-01
  • Energies, Vol.14
  • MDPI AG
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