• Title/Summary/Keyword: Flight Data

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A Study on Synthetic Flight Vehicle Trajectory Data Generation Using Time-series Generative Adversarial Network and Its Application to Trajectory Prediction of Flight Vehicles (시계열 생성적 적대 신경망을 이용한 비행체 궤적 합성 데이터 생성 및 비행체 궤적 예측에서의 활용에 관한 연구)

  • Park, In Hee;Lee, Chang Jin;Jung, Chanho
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.766-769
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    • 2021
  • In order to perform tasks such as design, control, optimization, and prediction of flight vehicle trajectories based on machine learning techniques including deep learning, a certain amount of flight vehicle trajectory data is required. However, there are cases in which it is difficult to secure more than a certain amount of flight vehicle trajectory data for various reasons. In such cases, synthetic data generation could be one way to make machine learning possible. In this paper, to explore this possibility, we generated and evaluated synthetic flight vehicle trajectory data using time-series generative adversarial neural network. In addition, various ablation studies (comparative experiments) were performed to explore the possibility of using synthetic data in the aircraft trajectory prediction task. The experimental results presented in this paper are expected to be of practical help to researchers who want to conduct research on the possibility of using synthetic data in the generation of synthetic flight vehicle trajectory data and the work related to flight vehicle trajectories.

Prediction of Airport noise Based on Flight path data (항적자료를 이용한 공항소음 피해 예측)

  • 민지훈;김정태;손정곤
    • Journal of KSNVE
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    • v.10 no.5
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    • pp.792-799
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    • 2000
  • Aircraft noise in the vicinity of Kimpo international airport has damaged to large number of people who live in communities. This paper investigates noise exposed area due to aircraft flight based on prediction modeling program INM and flight path data. Especially effect on route for aircraft has been considered. Ti also examines noise impact for various flight modes, such as a thrust cutback climb method.

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The analysis of flight data of aircraft with carry diversion into execution in -flight (비행 중 회항 시도 항공기의 비행자료 분석)

  • Lee, K.C.;Lee, J.H.;Song, B.H.;Shin, D.W.
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.11 no.1
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    • pp.67-80
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    • 2003
  • This study is performed to secure the safety of civil aviation by establishing systematic analysis ability of Flight Data Recorder. Through this study, downloading SSFDR(Solid State Flight Data Recorder) to personal computer, editing interface file, flight data numerical analysis and regulations relayed to the aircraft with carry diversion into execution are performed. In the analysis, the flight data of B747-400 model aircraft between Jeju(RKPC) and Gimpo(RKSS) was selected.

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A Real Time HILS of the Guidance Flight System (시선지령 유도 비행체의 실시간 실물 시뮬레이션 기법)

  • 김영주;이종하
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.43 no.4
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    • pp.638-647
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    • 1994
  • This paper describes the real time Hardware-In-the Loop Simulation(HILS) that is an efective tool for design, testing and performance evaluation of the guidanc eflight system. The real time HILS was performed by using a 3-axis flight motion simulator, real time computer, I/O system and flight control system hardware along with the assumed flight trajectory of the guidance flight system. Also, we proved the validity of the real time HILS is the guidance flight system by comparing its simulation results with the software simulation data and telemetry data.

Validation of Mathematical Models of UAV by Using the Parameter Estimation for Nonlinear System (비선형 시스템식별에 의한 무인비행기의 수학적 모델 적합성)

  • Lee, Hwan;Choi, Hyoung-Sik;Seong, Kie-Jeong
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.10
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    • pp.927-932
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    • 2007
  • The sophisticated mathematical model is required for the design and the database construction of the advanced flight control system of UAV. In this paper, flight test of KARI's research UAV, often called DURUMI-II, is implemented for the data acquisition from the maneuver flight. The flight path reconstruction is implemented to ensure that the measured data is consistent and error free. The nonlinear system identification for the refined mathematical modeling is implemented with the verified measurements from the flight path reconstruction. The simulation with the identified results have a good validation when the simulated responses were compared to the flight tested data.

BITSE Preliminary Result and Future Plan

  • Bong, Su-Chan;Yang, Heesu;Lee, Jae-Ok;Kwon, Ryun Young;Cho, Kyung-Suk;Kim, Yeon-Han;Reginald, Nelson L.;Yashiro, Seiji;Gong, Qian;Gopalswamy, Natchumuthuk;Newmark, Jeffrey S.
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.58.2-58.2
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    • 2019
  • BITSE is a technology demonstration mission to remotely measure the speed, temperature, and density of the solar wind as it forms as close as 3 Rs. BITSE obtained coronal images during its one day flight above more than 99% of the atmosphere, and calibration data are taken in the laboratory as well as during the flight. As the linearly polarized K-corona is much fainter than other bright sources like diffraction, sky, and F-corona, a careful data reduction is required to obtain reliable scientific results. We will report status of the obtained data, the reduction progress, and future plan.

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Simulation of the control force of the light aircraft using flight test data (비행시험 자료를 이용한 경항공기의 조종력 시뮬레이션)

  • 김정환;황명신;이정훈
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.203-206
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    • 1996
  • The purpose of this paper is to find how to determine the parameters of the basic control system design such as hinge moment coefficients and to display the controllability of the ChangCong-91. Since the estimation from the flight test of real aircraft is the most reliable, we performed the flight test of ChangGong-91 to get the various parameters such as velocity, height, control force, control surface deflection, 3 axis acceleration, 3 axis angular rate, pitch angle, angle of attack temperature and so on. We recorded the flight test data in VHS tapes and stored them to personal computer using A/D(analog to digital) converter. Flight test was done in various conditions, and the acquired data was processed with parameter identification method such as least square method. These data will be utilized for the development of Autopilot System design and Control Loading System design.

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Development of Drone Racing Simulator using SLAM Technology and Reconstruction of Simulated Environments (SLAM 기술을 활용한 가상 환경 복원 및 드론 레이싱 시뮬레이션 제작)

  • Park, Yonghee;Yu, Seunghyun;Lee, Jaegwang;Jeong, Jonghyeon;Jo, Junhyeong;Kim, Soyeon;Oh, Hyejun;Moon, Hyungpil
    • The Journal of Korea Robotics Society
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    • v.16 no.3
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    • pp.245-249
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    • 2021
  • In this paper, we present novel simulation contents for drone racing and autonomous flight of drone. With Depth camera and SLAM, we conducted mapping 3 dimensional environment through RTAB-map. The 3 dimensional map is represented by point cloud data. After that we recovered this data in Unreal Engine. This recovered raw data reflects real data that includes noise and outlier. Also we built drone racing contents like gate and obstacles for evaluating drone flight in Unreal Engine. Then we implemented both HITL and SITL by using AirSim which offers flight controller and ROS api. Finally we show autonomous flight of drone with ROS and AirSim. Drone can fly in real place and sensor property so drone experiences real flight even in the simulation world. Our simulation framework increases practicality than other common simulation that ignore real environment and sensor.

On Capital Flight from the ASEAN-8 Countries: A Panel Data Estimation

  • ISTIKOMAH, Navik;SUHENDRA, Indra;ANWAR, Cep Jandi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.43-52
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    • 2020
  • This paper examines how macroeconomic variables, such as interest rate differences, inflation, exchange rates, economic growth and external debt growth, affect capital flight in the ASEAN-8 countries. We apply a panel data model with fixed effect estimation for the data for eight countries from the period 1994 to 2018. We use the residual approach used by the World Bank to measure the value of capital flight. The results show that the interest rate differences, exchange rates, economic growth and foreign debt growth had a positive and significant effect on outward capital flight. A further implication of this finding is that the interest rate differences, exchange rate, economic growth and foreign debt growth are factors that trigger an increase in capital outflow in the ASEAN-8 countries. Nonetheless, inflation rate is not considered to be the main factor influencing capital flight, as average inflation in the ASEAN-8 countries remains relatively stable. This paper will be beneficial for policymakers in the ASEAN-8 countries and encourage them to constantly pay attention to these four variables, as they significantly influence capital flight, whereas they can disregard the impact of the inflation variable that is not significant in influencing capital flight.

Improved Performance of the Test System for Flight Data Instrumentation Equipment (비행 데이터 계측장비를 위한 점검 시스템 성능 개선)

  • Kim, Sang Beom;Lee, Sun Young;Nam, Young Ho
    • Smart Media Journal
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    • v.10 no.3
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    • pp.54-59
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    • 2021
  • Flight data acquired through flight instrumentation equipment during aircraft development play an important role in aircraft development and performance improvement. Therefore, as the reliability of flight instruments is required, inspection systems to check the soundness of flight instruments are very important. In this paper, we analyze the existing test system for flight data instrumentation equipment and present improvements in the hardware and software aspects of the test system. Based on this, we design and implement a test system with improved performance and present test results. Test system with improved performance improves cost savings, flexible application, and maintenance compared to the existing test system. Therefore, the robustness of the instrumentation equipment can be obtained, which can be expected to improve the reliability of flight data.