• Journal of Advanced Navigation Technology
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• v.22 no.5
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• pp.384-390
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• 2018

This paper introduces a MATLAB graphical user interface (GUI) based software for analysis of korea augmentation satellite system (KASS) availability performance. This software uses minimum variance (MV) estimator and Kriging algorithm to generate integrity information such as user differential range error (UDRE) and grid ionospheric vertical error (GIVE). The information is offered to ground and aviation users in Korean region. The software also gives accuracy data, protection level data and availability map about each user position by using the integrity information. In particular the software calculates the protection level along a path of aircraft. We verified the result of protection level of aviation user by comparing them with the results of SBASimulator#2, which is a simulation tool of european geostationary navigation overlay service (EGNOS). As a result, the protection level error between the result of our software and the SBASimulator#2 was about 2% which means that the result of our software is accurate.

• Journal of the Korea Computer Graphics Society
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• v.28 no.3
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• pp.55-65
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• 2022

Recently, deep learning-based automated systems for identifying and detecting landmarks have been proposed. In order to train such a deep learning-based model without overfitting, a large amount of image and labeling data is required. Conventionally, an experienced reader manually identifies and labels landmarks in a patient's image. However, such measurement is not only expensive, but also has poor reproducibility, so the need for an automated labeling method has been raised. In addition, in the X-ray image, since various human tissues on the path through which the photons pass are displayed, it is difficult to identify the landmark compared to a general natural image or a 3D image modality image. In this study, we propose a geometric data augmentation technique that enables the generation of a large amount of labeling data in X-ray images. In addition, the optimal attention mechanism for landmark detection was presented through the implementation and application of various attention techniques to improve the detection performance of 16 major landmarks in the skull. Finally, among the major cranial landmarks, markers that ensure stable detection are derived, and these markers are expected to have high clinical application potential.

• Journal of Positioning, Navigation, and Timing
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• v.7 no.4
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• pp.285-294
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• 2018

In this study, we implemented the data quality monitoring algorithm which is the previous step for real-time Global Navigation Satellite System (GNSS) correction generation and compared Global Positioning System (GPS) and BeiDou System (BDS). Signal Quality Monitoring (SQM), Data QM, and Measurement QM (MQM) that are well known in Ground Based Augmentation System (GBAS) were used for quality monitoring. SQM and Carrier Acceleration Ramp Step Test (CARST) of MQM result were divided by satellite elevation angle and analyzed. The data which are judged as abnormal are removed and presented as Root Mean Square (RMS), standard deviation, average, maximum, and minimum value.

• Journal of Positioning, Navigation, and Timing
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• v.10 no.2
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• pp.139-144
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• 2021

In this paper, we described configuration and construction of infrastructure for the KASS Reference Station (KRS), subsystem of Korea Augmentation Satellite System (KASS). KASS system consists of three subsystems(KRS, Mission Control Center (MCC), KASS Uplink Station (KUS)). One of these subsystems, KRS receives GNSS data for generating range error and integrity verification and sends to MCC. It is needed to antenna facilities for mounting GNSS antenna and shelter for operating KRS and infra equipment(power and network system, lightning and grounding system, fire extinguish) for operating KRS. For this reason, we have established the requirements for KRS infrastructure and constructed infrastructure for KRS to meet the requirements of KRS infrastructure.

• Journal of Advanced Navigation Technology
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• v.17 no.4
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• pp.396-403
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• 2013

Recently, GNSS users can utilize various navigation satellite thanks to GPS modernization, renewal of GLONASS, and development of Galileo and Beidou. And availability performance of users is expected to be improved because these new navigation satellites transmit L5 signal as well as L1 signal, and users can directly estimate the ionospheric delays. In accordance with these changes existing Satellite Based Augmentation System (SBAS) which considers only GPS L1 signal is being developed to support dual frequency and multi-constellation GNSS users. This paper describes the main features of dual-frequency, multi-constellation SBAS algorithms and estimates the performance in Korean region by simulation.

• Journal of Advanced Navigation Technology
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• v.21 no.6
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• pp.579-584
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• 2017

SBAS is a satellite based navigation correction system that provides correction information and integrity information of GNSS signal through geostationary satellite based on analysis of GNSS signal in ground station. KASS, a Korean SBAS, is aiming at the APV-1 class SoL service in 2022. Sufficient ground and flight tests must be performed in advance to provide SoL services. However, since KASS, the Korean SBAS, has not yet been added in Korea, specific detailed evaluation items are not presented. EGNOS, which is expected to be the most compatible with KASS and is being serviced after its development, has already been evaluated. In this paper, we analyze the regulations applied to EGNOS construction and analyze the criteria of ground and flight test evaluation items required for flight testing, which is expected to be referenced to the flight inspection process in the future.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.5
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• pp.629-635
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• 2009

Collapses of cutting area have frequently occurred due to heavy rainfall caused by the recent unusual weather patterns. Collapses of cutting area have the most crucial influence on the damaged property and casualties. Therefore, formulating and preparing an effective measures and control system is urgent. For this reason, in this study, we researched formation investigation method of location-based cutting area for an efficient management of cutting area. We conducted comparative and analytic research on the hand GPS method and DGPS method which is GPS augmentation system, using SBAS signals. The results of the research showed that there was difficult in discerning the accurate shape of cutting area when the existing method was used; however, the detecting the shape of four sides and accurate location was possible when DGPS was used. Consequently, it is possible to establish a preventive measures for cutting area, which considers the condition of the surrounding environment of cutting area because the polygon based management of incision cliff is attainable, apart from the existing control point based approach.

• Smart Media Journal
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• v.12 no.9
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• pp.159-170
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• 2023

It takes a lot of time and manpower to search for the missing. As part of the solution, a missing person search AI system was implemented using a YOLO-based model. In order to train object detection models, the model was learned by collecting recognition images (road fixation) of drone mobile objects from AI-Hub. Additional mountainous terrain datasets were also collected to evaluate performance in training datasets and other environments. In order to optimize the missing person search AI system, performance evaluation based on model size and hyperparameters and additional performance evaluation for concerns about overfitting were conducted. As a result of performance evaluation, it was confirmed that the YOLOv5-L model showed excellent performance, and the performance of the model was further improved by applying data augmentation techniques. Since then, the web service has been applied with the YOLOv5-L model that applies data augmentation techniques to increase the efficiency of searching for missing people.

• Current Industrial and Technological Trends in Aerospace
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• v.5 no.1
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• pp.65-74
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• 2007

현재 운용중인 전 세계적인 위성항법시스템(GNSS : Global Navigation Satellite System)은 미국의 GPS(Global Positioning System)와 러시아의 GLONASS(Global Navigation Satellite System)가 있다. 전 세계적으로 주로 사용되는 시스템은 GPS이며, GLONASS는 러시아의 경제사정 악화로 인하여 지속적인 위성발사가 이루어지지 못하고 있다. 추가적으로 추진되고 있는 위성항법시스템은 유럽의 갈릴레오(Galileo), 중국의 북두(Beidou), 일본의 JRANS(Japanese Regional Advanced Navigation System) 그리고 2006년 5월에 구축 프로젝트가 승인된 인도의 IRNSS(Indian Regional Navigation Satellite System)가 있다. 보강시스템의 경우, 미국 FAA(Federal Aviation Administration)는 광역오차보정시스템(WAAS)을 Raytheon사와 개발하였으며, 현재 착륙용 근거리오차보정시스템(LAAS)을 Raytheon사 및 Honeywell사와 함께 정부/산업체 공동개발 사업(GIP; Government Industry Partnership)으로 진행 중에 있다. 유럽은 EGNOS(European Geostationary Navigation Overlay Service)를 사용하고 있으며, 일본의 MSAT(MTSAT Satellite Based Augmentation System)와 인도의 GAGAN(GPS and GEO Augmented Navigation)은 추진 중이다. 이 글에서는 위성항법시스템과 위성항법 보강시스템의 현황을 살펴본다.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2636-2640
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• 2003

KARI had developed an Local Area Augmentation System for aircraft precision landing as following ICAO SARPs(Standards and Recommended Practices) draft and FAA's recommended algorithm( carrier smoothing techniques). JPO in charge of managing GPS has introduced the signal structure of GPS modernization program. This paper estimates the accuracy performance of KARI-LAAS with modernized GPS signal but the same processing algorithm.