• Atmosphere
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• v.12 no.4
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• pp.43-55
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• 2002

기상청의 위성기상업무는 위성자료를 취득하여 위성영상 및 기상분석정보를 생산하고, 예보관을 비롯한 자료 사용자들에게 자료를 신속하게 제공함으로써 체계적인 위성자료 활용서비스를 수행하는 것이다. 최근 외국의 우주개발 동향과 관련하여 활용 가능한 위성자료가 증가함에 따라 위성자료 활용시스템 개선을 추진해 왔으며, 2002년 현재 종래의 GMS, NOAA 이외에 Meteosat-5, FY-2B, FY-1C, Terra, QuickScat, DMSP, TRMM, SeaWiFS 등의 다양한 위성자료를 활용하고 있다. 예보현업에 대한 원격탐사자료 지원업무는 24시간 근무체계로 위성수신분석장비를 안정적으로 운영하면서 각종 위성정보를 종합적으로 활용하여 기상실황의 변화를 감시하고, 특히 전선, 저기압, 태풍에 동반된 구름의 변화상황, 황사의 발생 및 이동 등에 대한 상황을 파악하고 있다. 또한 위성자료의 보존관리 및 외부기관으로부터의 위성자료 요청에 대한 지원업무도 중요한 업무의 하나로 수행하고 있다. 위성정보 활용체계를 강화하기 위해, GMS-5호 위성의 관측임무를 대체하게 될 GOES-9, MTSAT-1R 위성의 자료수신 및 활용체계 구축을 준비하고 있으며, Terra, Aqua와 같은 첨단 지구관측위성자료를 이용한 기상정보 산출기술의 개발을 단계적으로 추진할 것이다.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.219.1-219.1
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• 2012

우주물체 전자광학 감시체계(OWL: Optical Wide-field Patrol)의 50cm급 자동망원경 마운트 시스템은 인공위성 관측을 위해 고속으로 움직이면서도 안정적인 추적이 가능해야 하며, 무엇보다 해외설치를 위한 경량화 및 무인 운영을 위한 신뢰성 있는 시스템이어야 한다. 우리가 개발한 경위대식 마운트는 웜기어가 아닌 마찰구동 방식으로 백래쉬가 없고 소음 및 진동을 최소화할 수 있다. 마운트의 자체 중량은 약 400kg이며 최대 가반하중은 250kg까지 가능하다. 지향정밀도와 밀접한 연관이 있는 절대 반복도는 warm start의 경우 5 acrsec, cold start의 경우 10 arcsec이며, 별관측을 통한 추적오차는 10분동안 2 arcsec이내의 값을 가지는 것으로 확인되었다. 마운트의 최대속도는 약 20deg/sec이며, 해외 환경에서의 작동을 위해 내부 온도제어를 통하여 이슬 및 결빙을 방지하도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.658-661
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• 2014

RTCA DO-278A는 통신, 항법, 감시 및 항공 교통 관리(CNS/ATM) 시스템과 장비에 대한 비항공용(지상 및 우주) 소프트웨어의 무결성을 보장하기 위한 개발 지침을 제공한다. 안전하고 효율적인 공항운영을 위한 차세대 지상이동 관제시스템인 A-SMGCS는 DO-278A의 무결성 보장 고려사항을 준수하여 개발되어야 한다. 본 논문에서는 소프트웨어 개발 수명 주기 전체에 걸쳐 DO-278A의 소프트웨어 무결성 보장 고려사항을 반영한 A-SMGCS 개발 방법을 제안한다.

• Economic and Environmental Geology
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• v.55 no.4
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• pp.421-428
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• 2022

This study analyzes emerging earthquake and space use technologies from the latest Korean and Japanese scientific and technological foresights in 2022 and 2019, respectively. Unlike the earthquake prediction and early warning technologies presented in the 2017 study, the emerging earthquake technologies in 2022 in Korea was described as an earthquake/complex disaster information technology and public data platform. Many detailed future technologies were presented in Japan's 2019 survey, which includes largescale earthquake prediction, induced earthquake, national liquefaction risk, wide-scale stress measurement; and monitoring by Internet of Things (IoT) or artificial intelligence (AI) observation & analysis. The latest emerging space use technology in Korea and Japan were presented in more detail as robotic mining technology for water/ice, Helium-3, and rare earth metals, and manned station technology that utilizes local resources on the moon and Mars. The technological realization year forecasting in 2019 was delayed by 4-10 years from the prediction in 2015, which could be greater due to the Corona 19 epidemic, the declaration of carbon neutrality in Korea and Japan in 2020 and the Russo-Ukrainian War in 2022. However, it is required to more active research on earthquake and space technologies linked to information technology.

• Journal of Astronomy and Space Sciences
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• v.24 no.4
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• pp.269-274
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• 2007

We established a regional ionospheric model for investigating ionospheric TEC (Total Electron Contents) variations over the Korean Peninsula during major geomagnetic storms. In order to monitor the ionospheric TEC variations, we used nine permanent GPS reference stations uniformly distributed in South Korea operated by the Korea Astronomy and Space Science Institute (KASI). The cubic spline smoothing (CSS) interpolation method was used to analyze the characteristics of the ionospheric TEC variations. It has been found that variations of TEC over the Korean Peninsula increase when a major geomagnetic storm occurred on November 20, 2003. The TEC has increased about one and a half of those averaged quite days at the specific time during a geomagnetic storm. It has been indicated that the KASI GPS-derived TEC has a correlation with the geomagnetic storm indices (eq. Kp and Dst indices).

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.31-39
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• 2014

In KSLV-I launch mission, real-time data from the tracking stations are acquired, processed and distributed by the Mission Control System to the user group who needed to monitor processed data for safety and flight monitoring purposes. The processed trajectory data by the mission control system is sent to each tracking system for target designation in case of tracking failure. Also, the processed data are used for decision making for flight termination when anomalies occur during flight of the launch vehicle. In this paper, we propose the processing mechanism of slaving data which plays a key role of launch vehicle tracking mission. The best position data is selected by predefined logic and current status after every available position data are acquired and pre-processed. And, the slaving data is distributed to each tracking stations through time delay is compensated by extrapolation. For the accurate processing, operation timing of every procesing modules are triggered by time-tick signal(25ms period) which is driven from UTC(Universial Time Coordinates) time. To evaluate the proposed method, we compared slaving data to the position data which received by tracking radar. The experiments show the average difference value is below 0.01 degree.

• Journal of Astronomy and Space Sciences
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• v.26 no.4
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• pp.529-546
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• 2009

Gauss and Laplace methods for initial orbit determination (IOD) are classical orbit determination tools and have been used very efficiently in optical satellite surveillance system. Several studies related to these two methods have been released until now. In this study, we found that the trends of IOD accuracy for different time interval between three pairs of measurement datas show unexpected results. Therefore, we checked the possible cause of these differences. In order to check various orbit types, we used most of satellite data which is able to obtain. To check the characteristics of methodology-only, we used simulated observation data. And we used real observation data for specific satellites to check the characteristics appeared when we applyed these methods to optical satellite surveillance system. As a result, we found that trends of IOD accuracy for time interval could be different because of satellite position observed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.237-243
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• 2017

In this paper, the detection performance of the electro-optical telescopes which observes and surveils space objects including artificial satellites, is analyzed. To perform the Modeling & Simulation(M&S) based analysis, satellite orbit model, telescope model, and the atmospheric model are constructed and a detection scenario observing the satellite is organized. Based on the organized scenario, pointing accuracy is analyzed according to the Field of View(FOV), which is one of the key factors of the telescope, considering pointing angle command error. In accordance with the preceding result, detection possibility according to the pixel-count of the detector and the FOV of the telescope is analyzed by discerning detection by Signal-to-Noise Ratio(SNR). The result shows that pointing accuracy increases with larger FOV, whereas the detection probability increases with smaller FOV and higher pixel-count. Therefore, major specification of the telescope such as FOV and pixel-count should be determined considering the result of M&S based analysis performed in this paper and the operational circumstances.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1341-1347
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• 2021

The need for an effective disaster management system has grown these days to protect public safety as the number of disasters causing massive damage increases. Since disaster-induced damage can develop in various ways, rapid and accurate countermeasures must be prepared soon after disasters occur. Numerous studies have continuously developed remote sensing and GIS (Geographic Information System)-based techniques for disaster monitoring and damage analysis. This special issue presents the research results on disaster prediction and monitoring based on various remote sensors on different platforms from ground to space and disaster management using GIS techniques. The developed techniques help manage various disasters such as storms, floods, and forest fires and can be combined to achieve an integrated and effective disaster management system.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.6
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• pp.1-10
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• 2019

This paper proposes a method to improve the detectable distance by reducing noise to perform a signal processing technique on the received signals. To increase the radar detection range, the noise component of the received signal has to be reduced. The proposed method reduces the noise component by employing two methods. First, the radar signals received with multiple pulses are accumulated. As the number of additions increases, the noise component gradually decreases due to noise randomness. On the other hand, the signal term gradually increases and thus signal to noise ratio increases. Secondly, after converting the accumulated signal into the frequency spectrum, a Least Mean Square (LMS) filter is applied. In the case of the radar received signal, desired signal exists in a specific part and most of the rest is a noise. Therefore, if the LMS filter is applied in the time domain, the noise increases. To prevent this, the LMS filter is applied after converting the received signal into the entire frequency spectrum. The LMS filter output is then transformed into the time domain and then range estimation algorithm is performed. Simulation results show that the proposed scheme reduces the noise component by about 25 dB. The experiment was conducted by comparing the proposed results with the conventional results of the radars held by the Korea Aerospace Research Institute for the international space station.