• Journal of Advanced Navigation Technology
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• v.23 no.1
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• pp.8-19
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• 2019

Pilots have used checklist as a valuable tool to improve aviation safety and to reduce human error. A checklist however is too complex for a student pilot to use with less flight experience or time than a commercial pilot. It is agreed upon such complex checklist be a factor to threaten aviation safety for student pilots. This paper has focused on a checklist by dividing it into a couple of basic three flight procedures. Making exploratory case study of student pilots, researchers could analyze the correlation between checklist factors and those of human errors. First of all, it was necessary for student pilots to be educated professional knowledge regarding aircraft structures and engines to perform preflight inspection reducing human errors. Moreover it was recommended student pilots as well as maintenance crew confirm checklist together to enhance aviation safety.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.587-595
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• 1994

The use of flight training simulators has been increased remarkably during the past 20 years stimulated by the benefit that simulators can contribute to safety and training efficiency. Simulators have incorporated higher and higher levels of reality to provide more realistic training. Now, however, users are beginning to question how such reality is enough. Especially, it has raised question about the need for a notion system in the aircraft simulator. To help answer this question, this report describes notion cue requirements and types of motion system, and finally presents the assessment of the effectiveness of three different notion system alternatives.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.7 no.1
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• pp.19-29
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• 1999

This paper proposes a system intergration method for M20J flight simulator development. The simulator consists of three modules. The first module is for flight dynamics simulation, and the second module is for avionic systems and flight instrument and the last module is for interface card which connects PC and input devices using rotary encoders and switches. Two computers are equipped in the simulator for instructor and trainee. An instructor can give a mission to a trainee, and control the flight simulation options through RS-232C serial port. Also, the instructor can monitor the training results of the trainee.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.10 no.1
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• pp.57-68
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• 2002

The economical aspects should be evaluated to decide the LCC(Life Cycle Cost) of the long life facilities or equipments. Airplane operators evaluate the economical aspects to decide whether they maintain the existing airplane or substitute the new one. This paper presents economic life cycle and economic life cost for both Cessna 172R and Mooney 20J that are operated for flight training in 'H' University. The residual value that is used to calculate the capital recovery rate of the airplane is calculated based on the data from Blue Book published in USA. The annual equivalent on operation cost is calculated based on the 500 flight hours per year which is the annual flight hour for the airplane in 'H' university. This paper showed that economic life cycle of Cessna 172R is nine years since it was introduced in 2001, and Mooney 20J which was introduced in 1991 exceeds the economic life cycle in 2002.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.13 no.2
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• pp.1-13
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• 2005

The objective of the study is to analyze the pilot's behavior such as preference and management technique to the automation of aircraft through Flight Management Attitude Questionnaire(FMAQ) survey. Participants in the survey are grouped in rank and nationality, and attitudes of those groups toward the automation are analyzed. Previous empirical studies have demonstrated large cross-nation differences in attitudes regarding task performance across several work domains including aviation. Analysis of the survey shows that the pilots in Asia region like the automation and its usage more than the pilots in western and Oceania regions. The trust in the automation is higher among glass cockpit pilots than among the conventional aircraft pilots. More foreign pilots than Korean pilots believe that the automation may deteriorate their flight skills. While more Korean pilots than foreign pilots agree that their flight skills can be kept by manual controls. The pilots also feel that the automated cockpits would require more verbal communications between crew members. For improving the automation management skills and the effective automation usage, the Situation Awareness training and Crew Resource Management(CRM) training are strongly suggested.

• The Journal of Information Systems
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• v.31 no.3
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.150-160
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• 2020

In this paper, we introduce a pilot's scheduling model which is able to maintain and balance their capabilities for each relevant skill level in military helicopter squadron. Flight scheduler has to consider many factors related pilot's flight information and spends a lot of times and efforts for flight planning without scientific process depending on his/her own capability and experience. This model reflected overall characteristics that include pilot's progression by basis monthly and cumulative flight hours, operational recent flight data and quickly find out a pinpoint areas of concern with respect to their mission subjects etc. There also include essential several constraints, such as personnel qualifications, and Army helicopter training policy's constraints such as regulations and guidelines. We presented binary Integer Programming (IP) mathematical formulation for optimization and demonstrated its effectiveness by comparisons of real schedule versus model's solution to several cases experimental scenarios and greedy random simulation model. The model made the schedule in less than 30 minutes, including the data preprocessing process, and the results of the allocation were more equal than the actual one. This makes it possible to reduce the workload of the scheduler and effectively manages the pilot's skills. We expect to set up and improve better flight planning and combat readiness in Korea Army aviation.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.1
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• pp.59-65
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• 2020

This paper presents comparative results of configuration modeling and aerodynamic analysis to single-engine airplanes such as C-172, SR-20, and DA40NG. The software OpenVSP was used as an airplane configuration modeling tool. OpenVSP can provide the fastest method to get three-dimensional aircraft configuration from given basic data and drawings of aircraft. Parametric design input in OpenVSP, from given aircraft geometric parameters, was applied to small airplanes mentioned. New aircraft models in this study were reversely designed to coincide with the publicly obtained dimensions of the original aircraft. The basic aerodynamic analysis of newly designed modeling aircraft was performed by the vortex lattice method. Results are shown that the similarity of aerodynamic data obtained except for the lack of DA40NG. In conclusion, the modeling process applied to this work is valuable to obtain conceptual design insight in the reverse design from the small airplanes currently in use for flight training.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.1
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• pp.122-129
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• 2020

Korea's HEMS are mainly operated during the week, but they are pushing for 24-hour operations. This study has made an overall comparison and review of helicopter safety management that should be accompanied to this end. For research purposes, helicopter regulations and helicopter accident statistics were analyzed, with a high accident rate associated with pilot error and night flight. It was proposed that future preparations would require reinforcement of laws and regulations, reinforcement of pilots' night training, and introduction of training and preflight risk assessments. This study will provide a direction for future helicopter safety. This study will provide for future direction of helicopter safety research.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.132-139
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• 2022

UAM(Urban Air Mobility)은 가까운 미래에 현실이 되는 항공교통 체계로 미래 첨단 기술의 결정체이다. 비행은 인간의 생명을 절대 보장하는 숭고한 철학에 기반한다. 성공적인 UAM 개발을 위해서는 비행안전에 기초한 개발철학이 필요하며 올바른 방향을 제시해야 한다. UAM 체계와 유사한 항공교통체계는 민간항공 운항체계이며 UAM 체계의 개발을 도모하는 효과적 비교 연구대상이다. 본 연구는 민간항공 운항체계와 민간항공 조종사의 경험을 토대로 안전한 UAM 체계 개발의 방향을 제시하는 데 있다. 그중에서도 UAM 조종사 양성과 교육훈련체계 수립을 위한 방안을 제언하였다. 현존 관련법규를 검토하여 UAM 조종사 양성기준을 제시하였으며 초기 혼란을 방지하기 위한 대안을 포함하였다. 또한 민간항공기의 접근구간 항법성능을 측정하여 UAM 운항환경을 비교 예측하였다. 이를 통해 SMS 기법에 기반하여 UAM 체계의 위해요인(hazard)을 식별하여 미연에 사고를 예방할 수 있는 안전 방법론을 제시하였으며 UAM 로드맵의 올바른 정책 수립을 돕고자 한다.