• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.1
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• pp.51-56
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• 2008

The counter-fire operation system performs its mission exchanging information with other related systems such as command & control systems and military information systems. In the process of exchanging information, the counter-fire operation system uses a type of data message which contains exchange data information in the format of KMTF. The requirement of data exchange of count-fire operation will continue to evolve. But the EDX(External Data eXchange) configuration item of the current counter-fire operation system can not effectively cope with the variation of data exchange requirements due to its fixed software structure. In the paper, a solution for improving flexibility of external data exchange in counter-fire operation system is proposed.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.10
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• pp.1361-1367
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• 2013

This paper describes and suggests the data visualization for real time power system operation based on energy management system. Because real time power system operation performs analysis of the vast amount of on-line data, the operators need intuitive data visualization to find out useful information in the big data. Especially, in emergency situation, the data visualization is able to assist the operators in handling the crisis quickly and efficiently. Therefore, this paper aims to improve displays of output of real time power system operation by visualizing on-line big data. Through this study, we can develop improved visualization technique for real time power system operation, which has highly readable displays of output and intuitive information.

• Bulletin of the Korean Space Science Society
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• 2003.10a
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• pp.108-108
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• 2003

본 논문에서는 과학위성 2호의 주 탑재체인 LIST의 Operation에 대한 개념을 소개하고자 한다. LIST는 태양 진공자외선(Lyman-$\alpha$)의 full disk 영상을 획득하고 분석함으로서 채층과 전이영역의 구조와 진화, ‘Quiet Sun’의 진공자외선 복사 변화 모델, 그리고 태양 진공자외선의 복사로 인한 지구 고층 대기의 변화를 밝혀내는 것이 목표이다. 이러한 목표를 성공적으로 수행하기 위해서는 LIST Operation 개념의 정립과 철저한 규정이 필요하다. 따라서 본 연구진은 Operation을 크게 두 부분으로 세분하였다. 즉, LIST의 각 구성 요소들이 유기적으로 작용, 목적하는 데이터의 성공적인 획득을 위한 ‘Technical Operation’과 획득된 데이터를 활용하여 효과적으로 분석하고 목적한 과학적 성과를 달성하기 위한 ‘Scientific Operation’으로 구분하여 규정하였다. 또한 효율적인 Data System의 관리를 위해 데이터의 흐름을 ‘LIST Observing System’, ‘LIST Data Acquisition System’, ‘LIST Data Reduction and Analysis’, 그리고 ‘LIST Data Analysis and Publication’의 네 가지 단계로 나누어 Data의 활용 중에 나타날 수 있는 위험들을 최소화 하고자 하였다.

• Journal of the Korea Computer Industry Society
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• v.10 no.3
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• pp.73-78
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• 2009

This paper designed Object-orientid Meta_data operation module that introducted new Meta_class basis the Meta_Classfication model. In order to implement this Data model, we have introducted heurilistic class to traditional object-orinted database. And we designed Meta_data operation module for Inplemetated Meta_data that basis on the heurilistic classficasion model using stored Meta_data in extened object-oriend data model.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.582-585
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• 2005

The Geostationary Operational Environmental Satellite (GOES) 9, which is currently located at 155°E geostationary orbits, has transmitted earth observation data acquired by imager to CDA at NOAA. After the acquisition on ground, observation data are corrected on ground and re-transmitted to GOES-9 for the dissemination to users. In this paper, the procedure and result from raw data acquisition and pre-processing for earth observation imagery retrieval from GOES-9 Raw data acquired in Korea at May 2005 are introduced.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.305-308
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• 2005

The COMS, Korea's first geostationary multipurpose satellite program will accommodate 3 kind of payloads; Ka-Band communication transponder, GOCI (Geostationary Ocean Color Imager), and MI (Meteorological Imager). MI raw data will be transferred to ground station via L-band link. The ground station will perform image data processing for raw data, generate them into the LRIT/HRIT format, the user dissemination data recommended by the CGMS. The LRIT/HRIT are disseminated via satellite to user stations. This paper shows the COMS LRIT data generation procedure based on COMS LRIT specification and its verification results using the LRIT user station.

• Proceedings of the KSR Conference
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• 2009.05b
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• pp.341-347
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• 2009

In high speed railway, event recorder system stores a train speed and the related data for train operation in real time. Using those information, we can analysis the train operation and the reason of train accident. Analysis software gets the stored data from Event Recorder and shows the status of various signals related with train operation. Using it, also we can analysis the train operation before and after the given time. In this paper we propose the analysis software to show and analysis the operation of high speed train. The method of transferring the stored data from Event Recorder into Analysis Software is proposed. We develop the efficient procedure to store the transferred data into analysis system. Also the effective method to show the store data and to analysis them is studied for finding the cause of train accident.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.798-802
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• 2002

Data provider and data user are linked together by suitable data. This implies that for a successful relationship the provider knows what kind of data, whether original or processed, is needed by the user and that the user articulates his needs to the provider. The co-operation between Korea and Austria aims at identifying these needs and to provide suitable routines for the processing of satellite data. Partners of this co-operation are the Korea Aerospace Research Institute, ARC Seibersdorf research and GeoVille. While the focus of the former lies in the development and running of satellite systems, the latter two have experience in the development and set up of applications in the field of remote sensing. Based on the complementary know-how by the institutions involved, projects were set up in Korea and Austria to fulfill this need and establish a pilot data feed for governmental applications.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.6
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• pp.82-90
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• 2019

To reduce emissions of marine pollutants, regulations are being tightened around the world. In the shipbuilding and shipping industries, various countermeasures are being put forward. As there are limits to applying countermeasures to ships already in operation, however, it is necessary for these vessels to use energy efficiently. The sensors installed on ships typically gather a very large amount of data, and thus a big data platform is needed to manage and analyze the data. In this paper, we build a big data analysis platform based on Hadoop and Spark, and we present a method to detect abnormal ship operation using the platform. We also utilize real ship operation data to discuss the data analysis experiment.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.4
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• pp.105-116
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• 2021

The importance of a systematic approach to collect, process, analyze, and share safety data in aviation safety management is continuously increasing. Accordingly, the domestic aviation industry has been making efforts to build a Big-data platform that can utilize multi-field safety data generated and managed by various stakeholders and to develop safety management technology based on them. Big data platforms not only must meet appropriate technical requirements, but also need to establish a management system for effective operation. The purpose of this study is to suggest the requirements of the aviation safety big data platform operation procedure and plan by reviewing the advanced overseas cases (FAA ASIAS). This study can provide overall framework and managerial direction for the operation of the aviation safety big data platform.