• Magazine of the Korea Concrete Institute
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• v.17 no.2 s.85
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• pp.6-8
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• 2005

• Journal of Korea Fair Competition Federation
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• no.154
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• pp.6-11
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• 2011

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.14 no.3
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• pp.212-221
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• 1985

• Korean Architects
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• s.618
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• pp.20-21
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• 2020

• Korean Architects
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• s.618
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• pp.16-18
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• 2020

• The monthly packaging world
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• s.354
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• pp.68-73
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• 2022

• Construction Engineering and Management
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• v.23 no.5
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• pp.9-15
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• 2022

• Journal of the KSME
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• v.26 no.1
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• pp.15-23
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• 1986

부품의 특성(수명)에 대해서 그 통계적 처리방법을 알아보았다. 어떤 장비나 부품의 신뢰성은 주어진 운용조건에서 의도하는 사용기간 중에 의도한 목적에 만족스럽게 작동할 확률로서 기계, 전기, 산업공학 등의 여러 전문분야의 지식이 필요하다. 또한 주어진 환경에서 장비설계 및 인 간공학적인 제 원칙을 종합하여 최소한의 비용으로 시스템(system)의 가용도(가용도)를 높이며 부품 수명의 정확한 추정을 통해 현재 상태를 파악하여 기술수준을 올려야 하는 것이 우리의 과제일 것이다.

• The Mathematical Education
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• v.62 no.2
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• pp.289-302
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• 2023

In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.

• Tunnel and Underground Space
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• v.12 no.3
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• pp.152-157
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• 2002

Optimal design of the long tunnels with large cross sections essential for the effective development of the limited land in Korea becomes more and more difficult owing to the constantly changing social, economic, environmental and technological factors. Deficiency of the domestic research works till now on the elementary topics on tunnel ventilation retards progress on developing the key technologies urgently required for designing and managing the long and large tunnels. This paper aims at identifying the subjects on which research must be carried out for the construction and management of vehicle tunnels in Korea by means of scrutinizing the contents of the publications since 1991 at the International Symposium on Aerodynamic and Ventilation of Vehicle Tunnels, the only international conference on the tunnel ventilation.