조영진 Young-jin Cho , 임세훈 Sea-hoon Lim , 박철 Chul Park

DOI:10.12673/jant.2025.29.3.271 JANT Vol.29(No.3) 271-279, 2025

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With the growth of Korea’s aviation industry, the need for an integrated system to manage pilot qualifications and career records has been increasing. The current certification system is mainly focused on the acquisition and renewal of licenses, and has limitations in comprehensively managing training histories and practical experience. As a result, there is a growing need for a reliable, data-driven system that can be shared by airlines, training institutions, and regulatory authorities. This study analyzed the U.S. FAA’s Pilot Records Database (PRD) and ICAO standards, and reviewed their applicability to Korea. Based on this analysis, the study highlighted the need to establish a legal framework, ensure data security, integrate with existing systems, and adopt blockchain and electronic signature technologies. The findings confirmed that implementing an integrated digital platform could enhance the reliability of qualification verification, transparency in pilot recruitment, aviation safety, and administrative efficiency. This study proposes policy directions for advancing Korea’s pilot career management system through digital transformation in line with international standards.

정환호 Hwanho Jeong , 박건환 Geonhwan Park , 박소라 So-ra Park , 손민혁 Minhyuk Son

DOI:10.12673/jant.2025.29.3.280 JANT Vol.29(No.3) 280-286, 2025

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Korea augmentation satellite system(KASS) performance maintenance and monitoring system(PMMS) tool was developed to provide information about the KASS system. Based on the KASS message, satellite based augmentation system(SBAS) message, external reference data, the PMMS tool consists of status monitoring tools, performance analysis and monitoring tools, training and test platform tool and operation and maintenance tools. Each tool generates information and performs performance analysis on KASS system. The interface of KASS PMMS tools has internal and external configurations depending on the interface requirements and interface verification was finished with a focus on the data transmission and real-time data display during the PMMS function test.

이예찬 Yechan Lee , 최상일 Sangil Choi , 김휘양 Huiyang Kim

DOI:10.12673/jant.2025.29.3.287 JANT Vol.29(No.3) 287-295, 2025

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Distance-based separation using surveillance systems has been applied as the primary longitudinal separation standard between aircraft. The current distance-based separation applies fixed values regardless of wind conditions, which leads to increased approach times and reduced runway throughput when aircraft approach the runway with strong headwinds that decrease their ground speed. To address the shortcomings of distance-based separation, the concept of time-based separation (TBS) has been proposed, which applies a constant time interval regardless of wind conditions. This study investigates the feasibility and practical effects of introducing TBS at Jeju International Airport in two stages. First, statistical tests were conducted to identify the impact of wind speed on both distance- and time-based separation. Second, the approach segment was subdivided, and speed data for each segment were reconstructed to compare approach times under varying wind conditions, thereby estimating the hourly runway throughput.

박홍식 Hongsik Park , 김우곤 Woogon Kim , 고재원 Jaewon Koh , 윤상현 Sanghyun Yoon , 배진우 Jinwoo Bae , 강승택 Sungtek Kahng

DOI:10.12673/jant.2025.29.3.296 JANT Vol.29(No.3) 296-303, 2025

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New antennas are designed to improve the efficiency of the radar system suitable for detecting flying vehicles by the equipment stationed on the ground or mounted on a UAV. For the system to catch the signal returning from the target illuminated by its radiated electromagnetic wave, since its efficiency is negatively influenced by the loss of the feeding power divider and semi-conductor amplifiers on the TX and RX paths and the resultant heating, planar lenses as metamaterials to heighten the gain will minimize the use of the RF active devices. Without the power divider, one patch is used to feed the metasurface leading to a high gain. The antenna as small as 5 mm for the patch and 100×100×30 mm³ for the entire volume makes 19 dBi for the boresight and 17.2 dBi for beam-tilting. As a passive structure comprising blocks of metasurfaces, its beam covers θ=0°, and ± 30°.

정영진 Yungjin Jung , 조태환 Taehwan Cho

DOI:10.12673/jant.2025.29.3.304 JANT Vol.29(No.3) 304-310, 2025

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Space surveillance radar (SSR) has become a critical component in ensuring the safety and strategic autonomy of space-faring nations amid a rapidly evolving space environment characterized by increased satellite deployment, debris accumulation, and rising military threats. This paper examines the necessity and technological value of SSR and analyzes the development trends in key space powers, including the United States, European Union, China, Russia, and Japan. These countries are advancing capabilities in phased array radar, synthetic aperture radar, and optical tracking systems, while also strengthening surveillance networks through civil-military cooperation and international collaboration. Based on this analysis, this paper proposes tailored strategies for the acquisition of space surveillance radar systems suitable for South Korea.

조민수 Minsu Jo , 박찬주 Chanju Park

DOI:10.12673/jant.2025.29.3.311 JANT Vol.29(No.3) 311-316, 2025

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Maritime navigation systems designed for long-term operation often experience degradation in positioning accuracy due to the intrinsic error accumulation of onboard sensors. To address this issue, the integration of multiple navigational sensors such as the Global navigation satellite system (GNSS), Doppler velocity log (DVL), and Electromagnetic log (EM-Log) is essential, even in underwater environments. This study outlines the respective advantages and disadvantages of centralized and federated multi-sensor fusion filter architectures. Furthermore, a covariance transformer was developed to minimize the influence of Schuler period error that commonly arise in long-duration operations. The proposed method enhances the robustness of the navigation system and effectively mitigates the impact of Schuler oscillations during extended deployments.

김동영 Dong-young Kim , 노윤희 Yun-hee Ro , 황치호 Chi-ho Hwang , 임수열 Soo-yeol Im

DOI:10.12673/jant.2025.29.3.317 JANT Vol.29(No.3) 317-323, 2025

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A telemetry system is a system that acquires data from an aircraft and transmits it to the ground. Real-time data processing program for Telemetry was developed to monitor the current state of the aircraft in real time using data received through a telemetry system. Measurement data is increasing due to the continuous development of aircraft, and accordingly, the needs of program users are diversifying. There is a need for high-capacity data analysis, multiple analysis tools deployment, using multiple monitors, and effective analysis of long-duration data. However, when an excessive display environment was configured, system performance degradation, and the cause was an increase in the frequency of garbage collector execution due to increased memory usage when rendering a large number of points on a real-time graph. In this paper, a real-time graph optimization algorithm was proposed and implemented to solve this problem, and the performance of the proposed algorithm was verified through tests in various environments.

Min Hong , Hyeongju Chae , Hyeongrae Kim , Joomyung Jung , Juyoung Choi , Byungkyu Lee , Chulho Lee , Hyukjun Oh

DOI:10.12673/jant.2025.29.3.324 JANT Vol.29(No.3) 324-327, 2025

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This paper proposes an AI-based optimization method for the Open Shortest Path First (OSPF) protocol in network environments characterized by time-dependent traffic patterns. Traditional OSPF dynamically recalculates routing paths based on topology changes but does not adapt to temporal variations in traffic load, leading to inefficient resource usage and potential congestion. To address this, we collect traffic data using Cisco Modeling Labs simulations and Wireshark-based packet capture, targeting scenarios with predictable load variations. By extracting features such as average packet length and transmission delay, we train a RandomForestRegressor model to predict optimal link cost values. These AI-driven costs are then applied to guide routing decisions, effectively balancing traffic across multiple paths. Experimental results demonstrate that the proposed method improves traffic distribution and mitigates bottlenecks, resulting in an average bandwidth increase of approximately 6.58 MB/s. This approach offers a practical enhancement to OSPF performance in environments with recurring traffic fluctuations.