박정우 Jeong Woo Park , 김휘양 Huiyang Kim

DOI:10.12673/jant.2026.30.2.65 JANT Vol.30(No.2) 65-73, 2026

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As air traffic demand grows, congestion and delays have intensified. To mitigate these issues, instrument flight procedure (IFP) adjustments, along with physical infrastructure expansion, are being pursued. However, evaluations of such adjustments have focused on operational performance metrics such as fuel consumption and noise. From an air traffic management perspective, quantitative studies comparing capacity before and after such adjustments for specific airspace remain limited. This study evaluated the impact of a standard instrument arrival route (STAR) adjustment by comparing terminal control area (TMA) capacity before and after the procedure change for the RWY 25 TMA at Jeju International Airport. The Tango-type STAR used prior to the adjustment and the Mike-type STAR introduced afterward were selected for comparison. Using six months of ADS-B data, variables for capacity estimation were extracted. A TMA capacity estimation model proposed in previous studies was applied to derive the capacity change. The RWY 25 TMA capacity increased from 6.93 to 8.08 aircraft, thereby empirically confirming that the STAR adjustment contributed to improving TMA capacity.

조민수 Minsu Jo , 이진승 Jinseung Lee , 박찬주 Chanju Park

DOI:10.12673/jant.2026.30.2.74 JANT Vol.30(No.2) 74-80, 2026

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INS(Inertial Navigation System) calculates navigation information using a vehicle’s acceleration and angular velocity without the outside information. However, when navigation is performed for a long time, navigation error gradually diverges and the performance decreases. To enhance INS’s performance, the rotation of inertial measurement unit is developed to compensate error sources of inertial sensors, which is called RINS(Rotational Inertial Navigation System). This study analyzes the effect of dwell time on the navigation performance of a dual-axis RINS. In particular, the relationship between the post-rotation dwell time and navigation accuracy is investigated. The performance variations are evaluated through simulation, and the results demonstrate how different dwell time configurations influence the navigation performance of the system.

권기주 Ki Ju Kwon , 김태영 Tae Young Kim , 이학태 Hak-tae Lee

DOI:10.12673/jant.2026.30.2.81 JANT Vol.30(No.2) 81-90, 2026

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This paper presents a simulation-based validation of a dynamic stability derivative estimation method using a maneuver rig in a freestream test environment. A coupled eight-degree-of-freedom dynamic model, consisting of a test vehicle and the rig, is developed, and simulated responses based on an established aerodynamic model are treated as the measurement data. Time-domain nonlinear least-squares estimation is applied to identify the four stability derivatives that governs the short period mode. Sensitivity analysis showed that an approach based on matching the damping ratio and natural frequency can identify only two stability derivatives. A time-domain response-matching approach using pitch-rate identified all four derivatives. Additional simulations with fixed rig arm revealed that some of the stability derivatives cannot be identified without a rig system that allows the translational motion.

이서원 Seo Won Lee , 김휘양 Hui Yang Kim

DOI:10.12673/jant.2026.30.2.91 JANT Vol.30(No.2) 91-104, 2026

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According to K-UAM ConOps 1.5, real-time monitoring of route deviations and aircraft proximity is required in initial operational corridors. Since ground-based monitoring relies on aircraft track data, validation of sensor-derived data is essential, particularly under complex urban radio environments. This study compares ADS-B, MLAT, RTK, and SBAS sensors using helicopter flight test data collected near Incheon International Airport, focusing on their applicability to UAM operations. Three evaluation metrics―correlation, stability, and consistency―are defined. Correlation analysis confirms temporal synchronization between sensors, while stability analysis characterizes sensor-specific high-frequency noise. Consistency analysis uses cross-track error(CTE) to quantify relative positional error ranges after bias removal. The results provide a basis for monitoring UAM trajectories and supporting separation management in urban environments.

김정연 Jeong-yeon Kim , 이승준 Seungjun Lee

DOI:10.12673/jant.2026.30.2.105 JANT Vol.30(No.2) 105-112, 2026

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In general aviation, pilots must independently review notices to airmen (NOTAM) and meteorological information to determine departure feasibility based on weather minima specified in the aviation act, the aeronautical information publication (AIP), and flight safety regulations. According to the U.S. national transportation safety board (NTSB), 22-28% of general aviation accidents are weather-related. The process of collecting diverse meteorological information, integrating it with flight plans, and making regulation-based comprehensive judgments imposes workload and human error risk. This study develops a decision support system that integrates meteorological information and NOTAM to provide departure recommendations for pilots. A ray casting algorithm was applied to identify spatial relationships between planned flight routes and meteorological hazard areas, which was then linked with aviation regulations to determine departure feasibility through AI-based reasoning. Pilot evaluation yielded a system usability scale (SUS) score of 69.58 and a 91.67% agreement rate between pilot and system judgments. This hybrid decision-making framework combining rule-based filtering and AI analysis is expected to reduce workload and enhance safety in general aviation operations.

유필석 Pil-seok Yoo , 김도현 Do-hyun Kim , 조용수 Yong-soo Cho

DOI:10.12673/jant.2026.30.2.113 JANT Vol.30(No.2) 113-118, 2026

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As air traffic growth continues to exacerbate environmental concerns and diminish airport operational efficiency, the need for GNSS augmentation systems is increasingly recognized. The GBAS landing system (GLS) procedure, utilizing the ground-based augmentation system (GBAS), enables more flexible approach path designs compared to the conventional ILS, offering the potential for reduced carbon emissions and noise. In this study, an RF-Turn-based GLS procedure was designed for Jeju International Airport, and its environmental and operational effects were quantitatively analyzed using the aviation environmental design tool (AEDT). The results indicate that the application of the GLS procedure reduces fuel consumption and carbon emissions by approximately 25% due to the shortened approach distance, and noise reduction effects were confirmed in certain segments. Furthermore, GBAS demonstrated significant benefits in terms of airport operational efficiency, as a single ground station can support multiple runways. It is expected that this study will serve as a foundational reference for feasibility assessments when considering the introduction of GBAS at domestic airports in the future.

한승진 Seungjin Han

DOI:10.12673/jant.2026.30.2.119 JANT Vol.30(No.2) 119-127, 2026

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While blockchain technology utilizes a distributed ledger to ensure the integrity of mutually stored data, its implementation is limited in resource-constrained environments such as FANET (Flying Adhoc Network). While lightweight protocols have been proposed for efficiency in the flying nature of manned and unmanned aerial vehicles (UAVs), these protocols require extremely short transactions and weak integrity verification. This paper proposes authentication and integrity of entities within and between clusters using Merkle trees, a blockchain component, in a FANET environment, as well as authentication and integrity of entities when nodes enter and exit a cluster. In such an environment, we propose a protocol that enables lightweight yet reliable UAV operation by preventing data tampering by attackers, and verify its security.

김연혁 Yon-hyok Kim , 문일영 Il-young Moon

DOI:10.12673/jant.2026.30.2.128 JANT Vol.30(No.2) 128-134, 2026

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Chemical manufacturing processes exhibit high variability in manufacturing lead time due to factors such as inter-process waiting times and rework, making it difficult to accurately estimate lead time using traditional average-based approaches. In this study, production history data collected from a Manufacturing Execution System (MES) were transformed into event logs, and derived features including process times and inter-process waiting times were generated. Based on these features, machine learning models including Random Forest, Gradient Boosting, and LightGBM were applied to compare lead time prediction performance. Experimental results show that Gradient Boosting and Random Forest achieved high prediction accuracy. Furthermore, SHAP analysis identified specific processes as key factors that have the greatest impact on lead time. This study demonstrates that combining process flow-based features with machine learning improves lead time prediction accuracy and provides a data-driven decision support approach for manufacturing process optimization.

김태호 Taeho Kim , 이진아 Jina Lee , 안우근 Woogeun Ahn , 장석원 Suk Won Jang , 박병운 Byungwoon Park

DOI:10.12673/jant.2026.30.2.135 JANT Vol.30(No.2) 135-145, 2026

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A satellite-based augmentation system (SBAS) is a wide-area differential global navigation satellite system (GNSS) that broadcasts corrections for satellite orbit and clock errors and ionospheric delay in real time via geostationary satellites. Currently, SBAS is in operation in various countries, and the Korea augmentation satellite system (KASS) has commenced operations in Korea. As service areas expand, overlapping coverage regions are emerging where corrections from two or more systems can be received simultaneously. A combined positioning method using multiple SBAS has been proposed. However, since each SBAS operates on an independent SBAS network time (SNT), an SBAS time offset bias (STOB) exists between systems. This paper proposes a positioning model that explicitly accounts for STOB. Based on analysis using real measurement data from domestic and overseas reference stations, the proposed method improves both horizontal and vertical accuracy compared to single-SBAS positioning.