• Title/Summary/Keyword: Aviation field

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Comparison & Analysis of Drones in Major Countries based on Self-Driving in IoT Environment (사물인터넷 환경에서 자율주행 기반의 주요국 드론 특성 비교/분석)

  • Lee, Dong-Woo;Cho, Kwangmoon;Lee, Seong-Hoon
    • Journal of Internet of Things and Convergence
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    • v.6 no.2
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    • pp.31-36
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    • 2020
  • The remarkable change in the automobile industry, which is a traditional industrial field, is now evolving into a form of moving toward autonomous functions rather than humans due to various convenience functions and automatic driving or autonomous driving technologies if the person was central when driving the car. This situation is expanding to various industries such as the aviation industry and the drone market, as well as the robot market. The drone market in the aviation industry is being used in various fields due to the unmanned nature of drone operation. Among them, military drones are secret and due to the specificity of technology, details are not disclosed, but as a collection of advanced technologies, they have played a key role in drone development. In this study, the current status of China and the European Union, including the United States, which are major competitors in the drone field, was investigated, and the technologies of major countries were compared and analyzed through the characteristics and operational specifications of the drones currently in operation.

Prerequisites for Realizing Urban Air Traffic (UAM) and Personal Air Vehicle (PAV) (도심항공교통(UAM)과 개인용 비행체(PAV) 실현화를 위한 선행 조건에 대한 전망)

  • Choi, Jeongho;Choi, Young-Moon
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.147-153
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    • 2020
  • This study is aimed at a basic infrastructure for realizing urban air mobility (UAM) and personal air vehicle (PAV), which have recently been high interest as new means of transportation. The development of UAM and PAV technologies is a field of a high added value that the world is competitively pushing for the world. However, the three most fundamental aspects are the establishing an aviation certification system, finding reliable manufacturers having advanced technical abilities, and the training/securing of professional manpower. Above all, the aviation certification system will be established for the first time. Based on the certification system, it will be possible to realize the government's policy goal of introducing new means of transportation, including the production of aircraft and to realize commercialization that meets international standards that satisfy conformity and compliance. In addition, finding reliable manufacturers, fostering professionals, and establishing an educating system for stable supplying of the professionals are main projects to become a leading country in the field.

Flight Test of GPS/INS Navigation System for Air Navigation (공중항법을 위한 GPS/INS 비행시험)

  • Yoo, C.S.;Ahn, I.K.;Lim, C.H.;Lee, S.J.;Ahn, I.K.;Nam, G.W.
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.10 no.1
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    • pp.35-44
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    • 2002
  • Inertial Navigation System(INS) has been used in the field of air navigation for a long time but is not popular in general aviation due to high price. Recently low-price GPS is available but vulnerable to radio interference. As an alternative on these problems, GPS/INS integrated navigation system has been considered. GPS/INS is capable of implementing navigation with low-price inertial sensors but its accuracy is dependent upon how much drift of INS may be calibrated by using GPS. In order to apply GPS/INS to air navigation, it must be investigated how long drift of INS in case of no GPS aiding will be bounded within requirements for safe flight. From the above motivation, the flight test for GPS/INS navigation system was conducted in order to make sense its performance in air navigation and its result was shown.

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Factors predicting pilots' performance in routine and non-routine situations (정상 상황과 비정상 상황에서 조종사의 수행을 예측하는 요인)

  • Lee, Kyung-Soo;Sohn, Young-Woo
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.18 no.4
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    • pp.92-99
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    • 2010
  • This study aimed to provide empirical evidence about expert performance approach in aviation field and the results suggested that the amount of experience(e.g. total flight hour) is necessary but not sufficient index of a pilot's expertise or superior performance. 43 pilots participated and completed a spatial span task and SA (situation awareness) tasks. To explore the factors predicting the performance in routine and non-routine situations, discriminant analysis was conducted. The results of discriminant analysis indicated that different variables are related with the performance in routine and non-routine situation. The factors predicting performance in routine situation were the spatial span scores and total flight hours. On the other hand, the factors predicting performance in non-routine situation were age and the qualification for instrument flying. In real world, total flight time which represents the quantity of experience has been frequently used to predict flight abilities and as an important index of expertise. The results of this study suggest that these kinds of factors have to be used cautiously to predict the performance in abnormal situation.

Study of Deep Reinforcement Learning-Based Agents for Controlled Flight into Terrain (CFIT) Autonomous Avoidance (CFIT 자율 회피를 위한 심층강화학습 기반 에이전트 연구)

  • Lee, Yong Won;Yoo, Jae Leame
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.30 no.2
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    • pp.34-43
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    • 2022
  • In Efforts to prevent CFIT accidents so far, have been emphasizing various education measures to minimize the occurrence of human errors, as well as enforcement measures. However, current engineering measures remain in a system (TAWS) that gives warnings before colliding with ground or obstacles, and even actual automatic avoidance maneuvers are not implemented, which has limitations that cannot prevent accidents caused by human error. Currently, various attempts are being made to apply machine learning-based artificial intelligence agent technologies to the aviation safety field. In this paper, we propose a deep reinforcement learning-based artificial intelligence agent that can recognize CFIT situations and control aircraft to avoid them in the simulation environment. It also describes the composition of the learning environment, process, and results, and finally the experimental results using the learned agent. In the future, if the results of this study are expanded to learn the horizontal and vertical terrain radar detection information and camera image information of radar in addition to the terrain database, it is expected that it will become an agent capable of performing more robust CFIT autonomous avoidance.

A Research on the Development of Domestic Regional Airports Considering the Characteristics of Air-Defense Industry-Based Airshow (국내 지방공항의 특성화 및 활성화 방안 연구 - 방위산업 기반 에어쇼 사례를 중심으로 -)

  • Sang Yong Park;Sung-Sik Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.4
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    • pp.82-89
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    • 2023
  • Since 2017, South Korea's defense exports have shown the world's highest rate of increase of 177% over the past five years, making it the 8th largest defense exporting country in the world. In particular, the aerospace industry is playing a leading role in the Korean defense industry. Among these K-defense industries, the capabilities of the aerospace industry are closely related to the Sacheon Air Show. Sacheon Air Show is one of the largest aviation events in Korea, and products with expertise in the aerospace field are exhibited and demonstrated. Therefore, the purpose of this study is to seek the revitalization of domestic local airports, especially Sacheon Airport, through the Sacheon Air Show held at Sacheon Airport in Gyeongsangnam-do. The first is the development of various contents, the second is the maximization of expertise using air shows, and the third is internationalization. By actively promoting these measures, Sacheon Air Show will be able to maximize the expertise of K-Defense, recognize it as an international event, and promote the vitalization of Sacheon Airport in Gyeongsangnam-do by securing domestic and foreign participants and visitors.

Accurate Closed-Form Green′s Function for the Analysis of coplanar Waveguides (코플래너 도파로 해석을 위한 정확한 Closed-Form 그린함수)

  • Gang, Yeon-Deok;Lee, Taek-Gyeong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.37 no.11
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    • pp.23-31
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    • 2000
  • In the layered medium, infinite Sommerfeld integral must be evaluated to calculate a space domain Green's function. The complex image method and the two-level method provide rapid calculation and accurate solutions in the near-field region. However, in the intermediate and far-field region, the solutions are inaccurate due to the deformation of the sampling contour. In this paper, we propose a method to calculate an accurate closed-form Green's function for coplanar structure by sampling data on the real axis.

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Study on Choice Attributes for Low-Cost Carriers Using IPA (저가항공사 선택속성 IPA분석 연구)

  • Park, Young Sik
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.21 no.4
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    • pp.112-118
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    • 2013
  • Air travel demand has recently been growing and establishment and operation of low-cost carriers have been increased. Against this backdrop, low-cost carriers need to figure out diversified customer demand for low-cost carriers and ways to maximize marketing efficiency before applying it to the field so that they can attain superiority to large carriers in increased intensified competition. Low-cost carriers need to be differentiated from other carriers for the purpose of improving profits. Toward this end, this study conducted analysis on importance and satisfaction with carrier choice using IPA with regard to low-cost carrier customers. In conclusion, the paper accurately examined advantages and disadvantages of low-cost carriers compared to general carriers based on results of IPA analysis and suggested managerial strategies to enhance competitiveness based on division into four parts including maintenance and enforcement (1st quadrant, Delay compensation, Booking rapidity, Check rapidity, Crew service, refund service, baggage service, punctuality, transit services, airlines images), concentrated improvement (2nd quadrant, price, Convenience of seat), passive administration (3rd quadrant, Boarding service, cabin cleanliness, flight schedule, whether local crew on board, meal service, in-flight entertainment service), and enhanced satisfaction (4th quadrant, duty-free service, Variety of routes), so that practical suggestions could be presented to employees working in the field.