• 제목/요약/키워드: engineering student

검색결과 1,114건 처리시간 0.034초

A POOL NUMBER FOR FISH HABITAT ASSESSMENT

  • Han, Sang-Yoon;Hansen, David;Cavers, William
    • Proceedings of the Korea Water Resources Association Conference
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    • 한국수자원학회 2005년도 학술발표회(1)
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    • pp.465-466
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    • 2005
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Activity of a Gifted Student Who Found Linear Algebraic Solution of Blackout Puzzle

  • Lee, Sang-Gu;Park, Jong-Bin;Yang, Jeong-Mo
    • Research in Mathematical Education
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    • 제8권3호
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    • pp.215-226
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    • 2004
  • The purpose of this paper is to introduce an activity of student who found purely linear algebraic solution of the Blackout puzzle. It shows how we can help and work with gifted students. It deals with algorithm, mathematical modeling, optimal solution and software.

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Effect of Trim Variations on the Ship Structural Responses (트림변화가 선체 구조응답에의 미치는 영향)

  • Kwon, Young-Sub
    • Journal of Ocean Engineering and Technology
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    • 제6권2호
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    • pp.55-70
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    • 1992
  • 트림변화에 의해서 발생하는 선체 구조응답을 고찰, 계산 결과를 요약하였다. 본 고찰로 부터 같은 크기의 선수, 선미 트림상태일지라도 많은 차이를 보였다. 이에는 중량분포의 효과가 특히 크게 작용함을 밝히었다.

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Music Recommendation System for Personalized Brain Music Training Research with Jade Solution Company

  • Kim, Byung Joo
    • International journal of advanced smart convergence
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    • 제6권2호
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    • pp.9-15
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    • 2017
  • According to a recent survey, most elementary and secondary school students nationwide are stressed out by their academic records. Furthermore most of high school students in Korea have to study under the great duress. Some of them who can't overcome the academic stress finalize their life by suiciding. A study has found that it is one of the leading causes of stimulating the thought of committing suicide in Korean high school students. So it is necessary to reduce the high school student's suicide rate. Main content of this research is to implement a personalized music recommendation system. Music therapy can help the student deal with the stress, anxiety and depression problems. Proposed system works as a therapist. The music choice and duration of the music is adjusted based on the student's current emotion recognized automatically from EEG. If the happy emotion is not induced by the current music, the system would automatically switch to another one until he or she feel happy. Proposed system is personalized brain music treatment that is making a brain training application running on smart phone or pad. That overcomes the critical problems of time and space constraints of existing brain training program. By using this brain training program, student can manage the stress easily without the help of expert.

Multiple Hint Information-based Knowledge Transfer with Block-wise Retraining (블록 계층별 재학습을 이용한 다중 힌트정보 기반 지식전이 학습)

  • Bae, Ji-Hoon
    • IEMEK Journal of Embedded Systems and Applications
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    • 제15권2호
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    • pp.43-49
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    • 2020
  • In this paper, we propose a stage-wise knowledge transfer method that uses block-wise retraining to transfer the useful knowledge of a pre-trained residual network (ResNet) in a teacher-student framework (TSF). First, multiple hint information transfer and block-wise supervised retraining of the information was alternatively performed between teacher and student ResNet models. Next, Softened output information-based knowledge transfer was additionally considered in the TSF. The results experimentally showed that the proposed method using multiple hint-based bottom-up knowledge transfer coupled with incremental block-wise retraining provided the improved student ResNet with higher accuracy than existing KD and hint-based knowledge transfer methods considered in this study.