• Title/Summary/Keyword: Operating altitude

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Modeling of Space Radiation Exposure Estimation Program for Pilots, Crew and Passengers on Commercial Flights

  • Hwang, Junga;Dokgo, Kyunghwan;Choi, Enjin;Park, Jong-Sun;Kim, Kyung-Chan;Kim, Hang-Pyo
    • Journal of Astronomy and Space Sciences
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    • v.31 no.1
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    • pp.25-31
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    • 2014
  • There has been a rapid increase of the concern on the space radiation effect on pilots, crew and passengers at the commercial aircraft altitude (~ 10 km) recently. It is because domestic airline companies, Korean Air and Asiana Airlines have just begun operating the polar routes over the North Pole since 2006 and 2009 respectively. CARI-6 and CARI-6M are commonly used space radiation estimation programs which are provided officially by the U.S. federal aviation administration (FAA). In this paper, the route doses and the annual radiation doses for Korean pilots and cabin crew were estimated by using CARI-6M based on 2012 flight records. Also the modeling concept was developed for our own space radiation estimation program which is composed of GEANT4 and NRLMSIS00 models. The GEANT4 model is used to trace the incident particle transports in the atmosphere and the NRLMSIS00 model is used to get the background atmospheric densities of various neutral atoms at the aircraft altitude. Also presented are the results of simple integration tests of those models and the plan to include the space weather variations through the solar proton event (SPE) prediction model such as UMASEP and the galactic cosmic ray (GCR) prediction model such as Badhwar-O'Neill 2010.

Regional Alternative Navigation Using HALE UAV, Pseudolite & Transceiver (고고도 장기체공 무인기와 의사위성/트랜시버를 활용한 국지적 대체항법에 관한 연구)

  • Choi, Min-woo;Yu, Sun-Kyoung;Kim, O-Jong;Kee, Chang-Don;Park, Byung-Woon;Seo, Seung-Woo;Park, Jun-Pyo
    • Journal of Advanced Navigation Technology
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    • v.19 no.6
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    • pp.499-506
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    • 2015
  • Global navigation satellite systems (GNSS) is operating widely in civil and military area. GNSS signals, however, can be easily interfered because its signal is vulnerable to jamming. Thus, a sort of backup or alternative system is needed in order that the navigation performance is assured to a certain degree in case of GNSS jamming. In order to suggest a series of backup or alternative system of regional navigation, in this paper, we introduced a high altitude long endurance unmanned aerial vehicle (HALE UAV) with pseudolites using inverted GPS and transceiver system. We simulated the positioning error of the regional navigation system using HALE UAV with inverted GPS or transceivers concepts. We estimated the position error of HALE UAV calculate user position errors based on the position error of HALE UAV and general pseudorange error.

Prediction of Parabolic Antenna Satellite Drag Force in Low Earth Orbit using Direct Simulation Monte Carlo Method (직접모사법을 이용한 지구 저궤도 파라볼릭 안테나 탑재 위성의 항력 예측)

  • Shin, Somin;Na, Kyung-Su;Lee, Juyoung;Cho, Ki-Dae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.42 no.7
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    • pp.616-621
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    • 2014
  • Consumption of the fuel on the satellite operating in low earth orbit, is increased due to the air resistance and the amount of increase makes the satellite lifetime decrease or the satellite mass risen. Therefore the prediction of drag force of the satellite is important. In the paper, drag force and drag coefficient analysis of the parabolic antenna satellite in low earth orbit using direct simulation monte carlo method (DSMC) is conducted according to the mission altitude and angle of attack. To verify the DSMC simulated rarefied air movement, Starshine satellite drag coefficient according to the altitude and gas-surface interaction are compared with the flight data. Finally, from the analysis results, it leads to appropriate satellite drag coefficient for orbit lifetime calculation.

A Study on Performance Analysis Technique of Turboprop Engine(PT6A-62) Using $EASY5^{\circledR}$ (EASY5를 이용한 더보프롭엔진(PT6A-62)의 성능해석기법에 관한 연구)

  • 공창덕;최인수
    • Journal of the Korean Society of Propulsion Engineers
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    • v.7 no.1
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    • pp.49-56
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    • 2003
  • A steady-state performance simulation program using $EASY5^{(R)}$ on the turboprop engine was developed through in this study. The PT6A-62 turboprop engine which is the power plant of the first Korean basic trainer KT-1, was selected for this study. In order to evaluate the proposed perfrmance model the analysis results of $EASY5^{(R)}$ model were compared with the simulated results by the GASTURB program, which is well blown commercially for the simulation performance analysis at various cases. The first case was the uninstalled condition with various altitudes from ground to 30000ft and flight Mach No. 0. The second case was the install condition with various altitude from ground to M at the maximum take off and the ECS (Environmental Control System) OFF conditions. The third case was install condition with the altitude range from 5000 ft to 1000ft and Mach No. 0.1 to 0.3 at maximum ECS operating condition. It was confirm that the results by the $EASY5^{(R)}$ model were well agreed with those by GASTURB within maximum 5.0%

Study on Inverse Modeling of a Turboprop in High Altitude Operation using Engine Performance Data (성능데이터를 이용한 고고도운용 터보프롭엔진 역모델링 연구)

  • Kong, Chang-Duk;Lim, Se-Myeong;Kim, Ji-Hyun
    • Journal of the Korean Society of Propulsion Engineers
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    • v.14 no.3
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    • pp.16-22
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    • 2010
  • The gas turbine engine performance relies greatly on its component performance characteristics. Generally, engine manufacturers do not provide engine purchasers the component performance characteristics which can be obtained by lots of experimental tests at various operating conditions and big amount of expenses. In previous works the component maps have mostly been generated by scaling from a similar component map. However this scaling method has large error at off design points, specially in high altitude operation. Therefore this work proposes an inverse modeling method that can generate components maps of PT6A-67A turboprop engine using performance data provided by the engine manufacturer. In addition, evaluation can be made through comparison between performance analysis results using the performance simulation program including the generated compressor map and performance data.

A Numerical Analysis on Performance of Parallel Type Ejector for High Altitude Simulation (고공 환경 모사를 위한 병렬형 이젝터 구성에 따른 특성 연구)

  • Shin, Donghae;Yu, Isang;Shin, Minku;Oh, Jeonghwa;Ko, Youngsung;Kim, Sunjin
    • Journal of the Korean Society of Propulsion Engineers
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    • v.23 no.1
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    • pp.52-60
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    • 2019
  • In this study, the performance and structure of a parallel ejector comprised of multiple single ejectors were confirmed through numerical analysis. The same design variables (mass suction ratio, compression ratio, and expansion ratio) relevant to the performance of a single ejector were considered in the design of the parallel ejector. Analytical results showed that there was no significant difference in the performance of either system related to the operating mass suction ratio; however, the systemsize was significantly reduced. In addition, it was confirmed that when ejectors of the same performance capacity are arranged in parallel, the combined mass suction ratio is lower than that of the single ejector, allowing a lower pressure to be realized. The results of the analysis indicated that the parallel ejector's performance is not significantly different from that of any single ejector, but confirmed that the parallel ejector can offer a configurationdependent advantage in size and operation.

Application of Statistical and Machine Learning Techniques for Habitat Potential Mapping of Siberian Roe Deer in South Korea

  • Lee, Saro;Rezaie, Fatemeh
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • v.2 no.1
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    • pp.1-14
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    • 2021
  • The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

Experimental Vrification of the Sray Clculation using the Aricultural Done (농업용 방제드론의 방제면적 산출에 따른 실험적 검증)

  • Wooram Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.569-576
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    • 2023
  • An agricultural drones are gradually increasing in utilization due to economic efficiency, and consist of a main frame in charge of flying spray system in charge of moving pesticide to control targets. Therefore, the environment and characteristics of crops should be considered when controlling pesticides using drones and conditions such as systematic flying altitude of flight, speed, and spray time should be changed accordingly. However, pest control work using agricultural drones has different spray effects depending on level the operation proficiency and spray impact. In addition, there are variations in operating standards and control efficiency for agricultural drones, which hinder the distribution of agricultural control drones in the field of pest control work. Therefore, this study attempts to identify the spraying characteristics of agricultural drones, apply the effective spraying time, interval and experimentally verify the system that can calculation of spray area compared to previous studies. Through this experimental verification, it is intended to apply the optimal control process by minimizing the obstacles to pest control work by applying the operation method and systematic figures to agricultural drones.

Methodology of Test for sUAV Navigation System Error (소형무인항공기 항법시스템오차 시험평가 방법)

  • SungKwan Ku;HyoJung Ahn;Yo-han Ju;Seokmin Hong
    • Journal of Advanced Navigation Technology
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    • v.25 no.6
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    • pp.510-516
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    • 2021
  • Recently, the range of utilization and demand for unmanned aerial vehicle (UAV) has been continuously increasing, and research on the construction of a separate operating system for low-altitude UAV is underway through the development of a management system separate from manned aircraft. Since low-altitude UAVs also fly in the airspace, it is essential to establish technical standards and certification systems necessary for the operation of the aircraft, and research on this is also in progress. If the operating standards and certification requirements of the aircraft are presented, a test method to confirm this should also be presented. In particular, the accuracy of small UAV's navigation required during flight is required to be more precise than that of a manned aircraft or a large UAV. It was necessary to calculate a separate navigation error. In this study, we presented a test method for deriving navigation errors that can be applied to UAVs that have difficulty in acquiring long-term operational data, which is different from existing manned aircraft, and conducted verification tests.

Development of Sea Clutter Model for Performance Analysis of Naval Multi Function Radar (함정용 다기능 레이다 성능 분석을 위한 해상 클러터 모델 설계)

  • Jeon, Woo-Joong;Kim, Hyun-Seung;Park, Myung-Hoon;Jung, Dong-Min;Kwon, Se-Woong;Jo, Myeong-Hoon;Kang, Yeon-Duk;Yoo, Seung-Ki
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.109-115
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    • 2020
  • As the maritime targets that threaten allies become lower, smaller, and faster, the need for analysis and modeling of clutter according to sea state increases. Clutter according to the sea state has a great influence on radar performance, such as lowering the probability of detection of low-altitude small maritime targets. In this paper, to analyze the detection performance of a multi function radar for a ship, a sea clutter model suitable for the radar operating environment is selected from several sea clutter models, and analysis of low-altitude, small target detection under a clutter is performed. By using the actual data of the already mounted radar for maritime target detection, four known clutter models have been implemented for each sea state and compared with the actual data. Through this, by selecting a clutter model that best reflects the actual radar environment, reliability of the clutter model is improved. Subsequently, the selected model is used to detect the detectable distance to the low-altitude small target.