• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.19 no.1
• /
• pp.66-73
• /
• 2011

According to U.S. NTSB, from 1989 to 1992, Situation Awareness(SA) was a major factor causing 80% of all aircraft accidents in scheduled airlines. Therefore, the prevention of accidents through effective training in SA became a pivot in aviation safety. Furthermore, during the past 10 years, since all helicopter accidents in Korea were caused by the factors related to SA, an appropriate countermeasure has been required. This study, which uses survey data, examines various factors related to SA that could affect helicopter pilots. Common characteristics of situation awareness factors are that the result from the independent variables which are flight time, duty period and age of a first officer is statistically significant with the result from the independent variables of an instructor pilot's. However, only experience is statistically significant independent variable for factors influencing decision making in emergency situations, but anxiety, expectation and comprehension are not significant.

• Advances in aircraft and spacecraft science
• /
• v.7 no.4
• /
• pp.353-369
• /
• 2020

This paper presents the flutter analysis and optimum design of axially functionally graded box beam cantilever wing section by considering various geometric and material parameters. The coupled dynamic equations of the continuous model of wing system in terms of material and cross-sectional properties are formulated based on extended Hamilton's principle. By expressing the lift and pitching moment in terms of plunge and pitch displacements, the resultant two continuous equations are simplified using Galerkin's reduced order model. The flutter velocity is predicted from the solution of resultant damped eigenvalue problem. Parametric studies are conducted to know the effects of geometric factors such as taper ratio, thickness, sweep angle as well as material volume fractions and functional grading index on the flutter velocity. A generalized surrogate model is constructed by training the radial basis function network with the parametric data. The optimized material and geometric parameters of the section are predicted by solving the constrained optimal problem using firefly metaheuristics algorithm that employs the developed surrogate model for the function evaluations. The trapezoidal hollow box beam section design with axial functional grading concept is illustrated with combination of aluminium alloy and aluminium with silicon carbide particulates. A good improvement in flutter velocity is noticed by the optimization.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.953-957
• /
• 2009

The flight simulation the fact that imitates the real situation of flight for the training or boarding experience which manages a same flight equipment with the aircraft in goal. The flight simulation of existing attached importance in the research and development which is limited in the control which is visible and physical relate with the management of the airplane directly. So, the flight simulation applied in various game or simulator etc. But, there were not researches which are actual applies in flight simulation with considers the physiological phenomenon of pilot. Therefore this paper tries the flight simulation which assumes the physiological phenomenon as the blackout and a redout of pilot. In conclusion, predicts a future.

• Journal of the Korean Society of Propulsion Engineers
• /
• v.10 no.2
• /
• pp.102-109
• /
• 2006

In this Paper, Support Vector Machine(SVM) and Artificial Neural Network(ANN) are used for developing the defect diagnostic algorithm of the aircraft turbo-shaft engine. The system that uses the ANN falls in a local minima when it learns many nonlinear data, and its classification accuracy ratio becomes low. To make up for this risk, the Separate Learning Algorithm(SLA) of ANN has been proposed by using SVM. This is the method that ANN learns selectively after discriminating the defect position by SVM, then more improved performance estimation can be obtained than using ANN only. The proposed SLA can make the higher classification accuracy by decreasing the nonlinearity of the massive data during the training procedure.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.4 no.1
• /
• pp.63-85
• /
• 1996

의사 결정의 문제는 기본적으로 다수의 상충되는 기준(Criteria)하에서 최적의 대안을 선택하는 문제이며, 특히 국가나 항공사 또는 어느 기관에서 항공기의 구입시 기종 선정의 문제는 항공기 자체의 높은 가격 및 기술 파급효과, 안전성, 경쟁성 등 다수의 요인들을 심도 있게 고려하여야만 한다. 따라서 다수의 전문가 집단의 의견을 종합할 수 있다면 실패의 확률을 줄일 수 있을 것이다. 본 논문은 한국항공대학교의 훈련용 항공기의 도입 필요성이 제기됨에 따라 대상 기종인 Mooney MSE와 Cessna 172RG 기종에 대하여 현재 한국항공대학교에서 비행 교육을 담당하고 있는 운항학과 전임교수와 비행교육원 비행 교관들의 설문을 통하여 계층화 의사결정법을 이용하여 전문가 의견을 종합하였다. 계층화 의사결정법(AHP; Analytic Heirarchy Process)은 1970년대 초 T. L. Saaty에 의해 개발된 기법으로 다수의 목표, 다수의 기준, 다수의 의사결정 주체가 포함되어 있는 의사결정 문제를 계층화한 후, 상위 계층의 한 기준의 관점에서 직하위 계층의 요소들의 상대적 중요도(Relative Importance) 또는 가중치(Weight)를 쌍별비교(Pairwise Comparison)에 의해 측정하여 궁극적으로 최하위 계층의 대안의 우선순위를 구하는 기법으로 앞으로 항공기의 기종선 정시(특히 훈련용 항공기) 계층화 의사결정법(AHP)을 활용할 수 있도록 모델을 제시하고자 하였다.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.17 no.2
• /
• pp.62-67
• /
• 2009

LOSA is a flight safety program that analyses human errors in normal operations. Trained pilot observers monitor the normal flights at the observer seat. LOSA is a proactive non jeopardy data collection tool using threat and error management(TEM) as a framework. With the analysis of crew behaviors through LOSA with The LOSA collaborative(TLC), the airlines can identify the behaviors of the crew during normal operations. The major objective of LOSA is to measure how the crew manage threats, errors and undesired aircraft deviations in the cockpit on day to day operations. The airlines are able to set up effective TEM training with practical six generation Crew recourse management(CRM) with data of error from LOSA instead of theoretical CRM courses. The Airlines can use TEM as an integral part of a Safety Management System(SMS) and uses monitoring and cross-checking skills in the flight operations to manage threats and errors effectively when we know the errors we make in the cockpit on daily operation. The result of LOSA indicates that the error detection rate should be enhanced since around the half of the errors went undetected. The areas which should be focused for enhancing the error detection are monitor, cross-check, the management of workload, automation and taxiway/ runway to manage errors effectively.

• Transactions of Materials Processing
• /
• v.24 no.3
• /
• pp.167-175
• /
• 2015

In the current study, the design methodology has been developed to produce shoe mold for a suitable walking shoes of the general Korean using ANN (Artificial Neural Network). To design the suitable and comfortable shoes for the Korean, the shapes of foots were measured for 513 people. In this research, the foot length, breadth and ankle were considered as design parameters. In order to find the optimal foot shape for the average value of design parameters, the average value of design parameters and the other measurements were used as input and output to the ANN. After training, the various foot measurements were predicted by ANN. Base on the ANN results, the walking shoes were manufactured by considering these measurements and designing a shoe mold. From the results, the proposed method could give a more systematic and feasible means for manufacturing walking shoes with greater usefulness and better generality.

• The Journal of Economics, Marketing and Management
• /
• v.9 no.2
• /
• pp.21-31
• /
• 2021

Purpose: This study aims to provide marketing implications for training and face-to-face service employee communication by analyzing how communication by Korean crews at foreign airlines affects passengers' perception and how this perception relates to airline service quality and customer satisfaction. Research design, data: The collection of questionnaires for the demonstration in this study has collected 300 questionnaires for about a month for Korean passengers who are aware of the presence of Korean crew on board aircraft. Results: The study analyzed the relationship between the communication ability, customer satisfaction, and reuse intention of foreign airlines. An empirical analysis of the relationship between quality of airline service, customer satisfaction, and intention of re-use can suggest the following implications based on the language and non-verbal communication capabilities of the Korean crew working for foreign airlines. Conclusions: We studied the impact of communication between Korean crews working for foreign airlines on the quality of airline service, customer satisfaction and reuse intention. The Korean crew should also work for overseas airlines and consider communication as important and expand their overall foreign language education and communication skills to have a positive impact on not only Korean passengers but also their own citizens.

• Advances in aircraft and spacecraft science
• /
• v.9 no.5
• /
• pp.367-375
• /
• 2022

Modeling the properties of complex alloys such as nickel superalloys is an extremely challenging scientific and engineering task. The model should take into account a large number of uncorrelated factors, for many of which information may be missing or vague. The individual contribution of one or another chemical element out of a dozen possible ligants cannot be determined by traditional methods. Moreover, there are no general analytical models describing the influence of elements on the characteristics of alloys. Artificial neural networks are one of the few statistical modeling tools that can account for many implicit correlations and establish correspondences that cannot be identified by other more familiar mathematical methods. However, such networks require careful tuning to achieve high performance, which is time-consuming. Data preprocessing can make model training much easier and faster. This article focuses on combining physics-based deep network configuration and input data engineering to simulate the solvus temperature of nickel superalloys. The used deep artificial neural network shows good simulation results. Thus, this method of numerical simulation can be easily applied to such problems.

• Journal of Advanced Navigation Technology
• /
• v.27 no.3
• /
• pp.274-280
• /
• 2023

The Fix-to-Fix Navigation is the technique for aircraft pilots to find out estimated Heading when crossing from present fix to other fix to want to go in the air. Because this is based on the Rule of Thumb method from one's experience, it could not find out exact estimated Heading. Furthermore if the pilot nears going fix, Bearing Pointer and Course Indicator of HSI are too close to use this technique, that makes the pilot lost in the air. In this paper, We take Limits of Trigonometric Functions into the Fix-to-Fix Navigation to overcome these disadvantages. This study introduces two solutions using Limits of Trigonometric Functions when doing Fix-to-Fix Navigation and analyzes the error of this solutions.