• Title/Summary/Keyword: Aviation field

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Suggestions for the Improvement of Aviation and Railway Accident Investigation Board in Korean (항공사고조사위원회의 업무개선에 대한 제언)

  • Han, KyoungKeun;Choi, YounChul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.25 no.4
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    • pp.187-194
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    • 2017
  • ICAO Universal Safety Oversight Audit Programme is a comprehensive evaluation for aviation safety matters, including aircraft operation, licensing and aircraft incident/accident investigation. As this programme is measures aviation safety level of States, there is a need to meet international standards, especially in the field of aircraft incident/accident investigation. This research discusses points required to satisfy international standards, which are independence and autonomy of an accident investigation board, the lack of the enough number of investigators and efficient management of those personnel, the effective composition and use of an investigation report, an accident investigation itself to build big data and the creation of a cooperation system among States. This paper suggests various opinions in order to enhance aviation safety especially through aircraft accident investigations, using case studies from the US, UK and Japan.

A Study on the Amendments of Aircraft Operation and Pilots Cerification Management for Globalization (항공기 운항요건과 조종사 자격관리의 세계화를 위한 개선방안)

  • Kim, Chil-Young
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.6 no.1
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    • pp.165-178
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    • 1998
  • The worldwide improvement of the safety, efficiency and rationality in the field of aircraft operation environment and certificate management of aviation personnel has been proceeded cheerfully as a part of each country's globalization movement. Considering the importance of aviation transportation industry supporting nation's international trading has the competition among the airlines regarded possibly as that among the countries. In order to make Korean Government and Airlines more competitive in this race, the standardization and generalization of aviation regulations are required. On this study, some amendments are recommended to improve regulations and systems for pilot's certification management and operation environment by comparison analysis of regulations of ICAO, FAA and Korean aviation law.

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Study on Calculation Methodology for National Aviation Safety Cost (국가항공안전비용 산출방법론에 관한 연구)

  • Song, Ki-Han;Lee, Dae-Kyum
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.23 no.2
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    • pp.21-31
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    • 2015
  • The world air transport industry has grown steadily with quantitative expansion. The volume of air transport in the world is skyrocketing with the open-sky trend. Air passengers from or to South Korea has shown 5% of annual growth for the last couple of decades which caused South Korea now ranking in 18th in the World for air transport market size. Quantitative expansion of Air transport affects in policy making of air transport operators, such as airports, airlines or authorities, directly and indirectly. Especially, Aviation Safety field should be supported by policy regime with the growth of air transport volume, assured resources for continuous monitoring is standing out as a vital factor. This study is to estimate social costs caused by aviation accidents and investment costs for aviation safety by airports, airlines and authorities as operators. Estimated investment costs for aviation safety verified by comparing and analysing them. Precedent studies were reviewed to refer research methodology to calculate aviation accident costs and safety costs of operators. Safety costs of operators was calculated with literature researches and interview surveys among professionals of each operators in rational range.

Requirements for Operation Procedure and Plan for the Korean Aviation Safety Big-Data Platform based on the Case of FAA ASIAS (국내 항공안전 빅데이터 플랫폼 운영관리체계 수립 중점 - FAA ASIAS를 중심으로 -)

  • Kim, Jun Hwan;Lim, Jae Jin;Park, Yu Rim;Lee, Jang Ryong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.4
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    • pp.105-116
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    • 2021
  • The importance of a systematic approach to collect, process, analyze, and share safety data in aviation safety management is continuously increasing. Accordingly, the domestic aviation industry has been making efforts to build a Big-data platform that can utilize multi-field safety data generated and managed by various stakeholders and to develop safety management technology based on them. Big data platforms not only must meet appropriate technical requirements, but also need to establish a management system for effective operation. The purpose of this study is to suggest the requirements of the aviation safety big data platform operation procedure and plan by reviewing the advanced overseas cases (FAA ASIAS). This study can provide overall framework and managerial direction for the operation of the aviation safety big data platform.

Domestic air demand forecast using cross-validation (교차검증을 이용한 국내선 항공수요예측)

  • Lim, Jae-Hwan;Kim, Young-Rok;Choi, Yun-Chul;Kim, Kwang-Il
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.27 no.1
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    • pp.43-50
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    • 2019
  • The aviation demand forecast field has been actively studied along with the recent growth of the aviation market. In this study, the demand for domestic passenger demand and freight demand was estimated through cross-validation method. As a result, passenger demand is influenced by private consumption growth rate, oil price, and exchange rate. Freight demand is affected by GDP per capita, private consumption growth rate, and oil price. In particular, passenger demand is characterized by temporary external shocks, and freight demand is more affected by economic variables than temporary shocks.

Research Trends on Deep Learning for Anomaly Detection of Aviation Safety (딥러닝 기반 항공안전 이상치 탐지 기술 동향)

  • Park, N.S.
    • Electronics and Telecommunications Trends
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    • v.36 no.5
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    • pp.82-91
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    • 2021
  • This study reviews application of data-driven anomaly detection techniques to the aviation domain. Recent advances in deep learning have inspired significant anomaly detection research, and numerous methods have been proposed. However, some of these advances have not yet been explored in aviation systems. After briefly introducing aviation safety issues, data-driven anomaly detection models are introduced. Along with traditional statistical and well-established machine learning models, the state-of-the-art deep learning models for anomaly detection are reviewed. In particular, the pros and cons of hybrid techniques that incorporate an existing model and a deep model are reviewed. The characteristics and applications of deep learning models are described, and the possibility of applying deep learning methods in the aviation field is discussed.

Electromagnetic Environment Analysis of Goheung Aviation Center (고흥항공센터의 전기장 환경 분석)

  • Jang, Kyung-Duk;Kim, Tae-Youn;Jang, Jae-Woong;Min, Byong-Hee;Cho, In-Kyoung;Moon, Guee-Won
    • Aerospace Engineering and Technology
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    • v.12 no.1
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    • pp.46-53
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    • 2013
  • In this study, the analysis of electromagnetic environment of goheung aviation center was performed. If the test object has restrictions to be tested in indoor test facility, open area test site can be used to perform EMC test. Open area test site shall have no obstacles that can generate or reflect the electric field so as to prevent the measurement result from being influenced by unnecessary field. Goheung aviation center is surrounded by fields, and has no buildings that can reflect electric field, so the center can be a good candidate for open area test site. Ambient noise at Goheung aviation center was measured, and the result show that the center has good electromagnetic environment to perform EMC test for large volume object.