• Journal of Astronomy and Space Sciences
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• 제32권3호
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• pp.201-207
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• 2015

An algorithm to automatically extract coordinate and time information from optical observation data of geostationary orbit satellites (GEO satellites) or geosynchronous orbit satellites (GOS satellites) is developed. The optical wide-field patrol system is capable of automatic observation using a pre-arranged schedule. Therefore, if this type of automatic analysis algorithm is available, daily unmanned monitoring of GEO satellites can be possible. For data acquisition for development, the COMS1 satellite was observed with 1-s exposure time and 1-m interval. The images were grouped and processed in terms of "action", and each action was composed of six or nine successive images. First, a reference image with the best quality in one action was selected. Next, the rest of the images in the action were geometrically transformed to fit in the horizontal coordinate system (expressed in azimuthal angle and elevation) of the reference image. Then, these images were median-combined to retain only the possible non-moving GEO candidates. By reverting the coordinate transformation of the positions of these GEO satellite candidates, the final coordinates could be calculated.

• 항공우주시스템공학회지
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• 제15권2호
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• pp.36-44
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• 2021

Unmanned aerial vehicles (UAVs) are increasingly needed as they can replace manned aircrafts in dangerous military missions. However, because of their low autonomy, current UAVs can execute missions only under continuous operator control. To overcome this limitation, higher autonomy levels of UAVs based on autonomous situational awareness is required. In this paper, we propose an autonomous situational awareness software consisting of situation awareness management, threat recognition, threat identification, and threat space analysis to detect dynamic situational change by external threats. We implemented the proposed software in real mission computer hardware and evaluated the performance of situational awareness toward dynamic radar threats in flight simulations.

• 한국항공운항학회지
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• 제28권4호
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• pp.154-163
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• 2020

The pilot's aeronautical decision-making during the flying greatly affects flight safety, and the importance of situational awareness has been greatly emphasized as a prerequisite for making the right decision. This is the reason why more research and interests are needed to help students entering the pilot training program develop excellent situational awareness from the initial stage of training. Situational awareness is closely related to long-term memory activities in human information processing, and pedagogy and cognitive psychology have emphasized the encoding techniques as an effective long-term memory method. This study was conducted to confirm whether pilot students' using the encoding techniques to learn flight education materials in the early stage of their training at domestic universities has a positive effect on improving their situational awareness.

• Journal of Astronomy and Space Sciences
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• 제30권3호
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• pp.193-206
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• 2013

The detector subsystem of the Optical Wide-field Patrol (OWL) network efficiently acquires the position and time information of moving objects such as artificial satellites through its chopper system, which consists of 4 blades in front of the CCD camera. Using this system, it is possible to get more position data with the same exposure time by changing the streaks of the moving objects into many pieces with the fast rotating blades during sidereal tracking. At the same time, the time data from the rotating chopper can be acquired by the time tagger connected to the photo diode. To analyze the orbits of the targets detected in the image data of such a system, a sequential procedure of determining the positions of separated streak lines was developed that involved calculating the World Coordinate System (WCS) solution to transform the positions into equatorial coordinate systems, and finally combining the time log records from the time tagger with the transformed position data. We introduce this procedure and the preliminary results of the application of this procedure to the test observation images.

• Journal of Astronomy and Space Sciences
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• 제28권4호
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• pp.333-344
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• 2011

An optical tracking system has advantages for observing geostationary earth orbit (GEO) satellites relatively over other types of observation system. Regular surveying for unidentified space objects with the optical tracking system can be an early warning tool for the safety of five Korean active GEO satellites. Two strategies of positioning on the observed image of Communication, Ocean and Meteorological Satellite 1 are tested and compared. Photometric method has a half root mean square error against streak method. Also eccentricity method for initial orbit determination (IOD) is tested with simulation data and real observation data. Under 10 minutes observation time interval, eccentricity method shows relatively better IOD results than the other time interval. For follow-up observation of unidentified space objects, at least two consecutive observations are needed in 5 minutes to determine orbit for geosynchronous orbit space objects.

• 정보보호학회논문지
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• 제24권6호
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• pp.1197-1213
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• 2014

컴퓨터 네트워크 규모의 지속적 확장과 함께 방화벽, IDS, IPS 등의 각종 보안 시스템들은 네트워크 보안과 관련해 더욱더 막대한 양의 정보를 생성하고 있어 보안 담당자가 그 속에 숨겨진 보안 위협의 징후를 탐지하는 일은 더욱 어려워지고 있다. 보안 담당자들의 '네트워크의 보안상황 인지'(Network Security Situational Awareness)는 여러 관점에서 발생하는 보안 이벤트들 사이의 관계에 기초하여 전체적인 컴퓨터 네트워크의 보안 상황을 효과적으로 판단하는 것으로 이의 과정은 크게 '식별', '이해', '예측'의 3단계로 나눠지며, '식별'과 '이해'는 그 뒤에 이어지는 '예측'과 적절한 대응의 전제 조건이 된다. 그러나 다량의 정보들 속에서 '식별'과 '이해' 과정은 더욱 어려워지고 있다. 본 논문은 다량의 정보들의 '식별'과 '이해' 단계에 효과적인 것으로 알려져 있는 시각화 기법을 적용하여 대규모 네트워크의 보안상황 인지를 돕기 위해 설계한 '허니컴' 시각화 시스템을 제안하고, VAST Challenge 2012의 데이터를 기반으로 실증적인 효과를 확인하였다.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.129-136
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• 2020

Augmented reality (AR) technology assists construction workers by superimposing additional virtual information onto their real worksite environments. Ideally, this provides them with a better understanding of their tasks and hence boosts task performance. However, the additional information that AR places in users' field of view could limit their ability to understand what is going on in their surroundings and to predict how conditions may change in the near future. AR-assisted systems on construction sites could therefore expose their users to safety risks due to disturbance from the system. Hence, it is important to understand how AR-assisted systems can block users' understanding of their immediate environments, and in turn, how worksite safety in the construction industry could be improved through better design of such systems. This preliminary research conducted a laboratory experiment that simulated rebar inspection tasks and compared the situational awareness of AR users against that of subjects using traditional paper-based inspection methods, as measured by the Situation Awareness Rating Technique. Based on the results, we discuss the safety impact of head-mounted AR-assisted displays on situational awareness during construction tasks.

• 한국정보과학회논문지:시스템및이론
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• 제32권6호
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• pp.314-323
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• 2005

본 논문은 전장지역에서 벌어지는 공중작전에 대한 상황의 자료를 통합하여 3차원으로 가시화 함으로써 공중작전의 최고결정권자가 올바른 상황인식 및 지휘결정을 할 수 있게 지원하는 시스템을 제안한다. 공중작전 상황판단을 위한 다양한 자료들, 레이더 항적정보, 비행계획 데이타베이스, 지도 및 위성사진 정보 둥을 하나의 자료로 통합하여 3차원으로 가시화 시킴으로써, 작전의 최고 결정권자가 한 순간에 종합적인 작전 결정을 할 수 있는 정보를 지원하는 시스템이다. 대량의 데이타를 종합적이고 체계적으로 가시화 하기 위하여 Out-of-Core 방법을 사용함으로써 휴대용 노트북에서도 운용이 가능함을 실험을 통하여 보여 주고 있으며, 공군의 공중작전 수행 시 상황인식을 지원하는 시스템으로 활용될 수 있는 가능성을 보이고 있다.

• 한국항공운항학회지
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• 제29권1호
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• pp.82-91
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• 2021

The topic of this paper was analyzed as "t -test" and "multiple regression analysis" for 303 helicopter pilot trainees from aviation schools in the county for "improvement of education through correlation analysis of helicopter pilots' situational awareness and education satisfaction." In addition to the factors for overcoming situational awareness and situational awareness, the level of satisfaction of the instructor and the level of satisfaction of the learning management system (LMS) is the confidence interval p<.05, 95%. It was analyzed to be significant at the level of 05, 95%. Therefore, it was analyzed that in order to improve the "quality of the instructor" in future education, institutional supplementation and "learning management system (LMS)" need to be established including VR and AR so that pilot trainees can use it at all times.

• 정보보호학회논문지
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• 제27권1호
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• pp.147-162
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• 2017

IT 환경의 변화 속에서 다양한 서비스와 기기의 출현으로 인하여, IT 규모의 증가와 더불어 데이터의 복잡도가 높아지면서 많은 조직에서 보안 상황 인지를 위한 대량의 데이터 분석 및 처리에 어려움을 겪고 있다. 이에, 조직의 위험관리에 있어서 보안 상황의 인지와 대응이 늦어지는 문제의 해결을 위해, 시각화를 통한 보안 상황 인지 효과의 향상을 제안한다. 이를 위해, 본 연구에서는 시각화와 관련한 다양한 관점에서의 선행 연구를 통해 사용자 유형, 상황 인지 단계, 정보 시각화의 속성 등을 고려하여 효과적 시각화를 위한 평가 요인과 대안을 선정하고 AHP 계층 모델을 수립하였다. 이를 토대로, 다 기준 의사결정 문제의 해결을 위한 AHP 기법을 활용하여 효과적 시각화를 위한 요인과 요인별 대안의 중요도를 산정함으로써, 시각화의 목적 및 사용자 유형에 따라 보안 상황의 인지 효과를 향상할 수 있는 시각화 방안을 제시하고자 한다.