• Korean Journal of Remote Sensing
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• v.26 no.2
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• pp.263-275
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• 2010

KOSC(Korea Ocean Satellite Center), the primary operational organization for GOCI(Geostationary Ocean Color Imager), was established in KORDI(Korea Ocean Research & Development Institute). For a stable distribution service of GOCI data, various systems were installed at KOSC as follows: GOCI Data Acquisition System, Image Pre-processing System, GOCI Data Processing System, GOCI Data Distribution System, Data Management System, Total Management & Control System and External Data Exchange System. KOSC distributes the GOCI data 8 times to user at 1-hour intervals during the daytime in near-real time according to the distribution policy. Finally, we introduce the KOSC website for users to search, request and download GOCI data.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.173-178
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• 2007

Recently, fires happen to occur owing to various factors. However, the demage caused by the fire is eyer increasing because timely actions could not be taken. To reduce the demage, a development of fire detection system which makes it possible to take adequate actions is requited. In this work, a sensor network-based fire detection system which utilizes both sensor nodes equipped with smoke sensor and unmaned helicopter is proposed. The proposed system is composed of unmaned helicopter which can gather the measurement data from the deployed sensor nodes and the embedded system which can get visual information on the firing spot and transmit these images to a remote server computer. The proposed system is applied to actual test bed to verify its feasibility.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.9-15
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• 2013

Recently, Intrusion detection system is an important technology in computer network system because of has seen a dramatic increase in the number of attacks. The most of intrusion detection methods do not detect intrusion on real-time because difficult to analyze an auditing data for intrusions. A network intrusion detection system is used to monitors the activities of individual users, groups, remote hosts and entire systems, and detects suspected security violations, by both insider and outsiders, as they occur. It is learns user's behavior patterns over time and detects behavior that deviates from these patterns. In this paper has rule-based component that can be used to encode information about known system vulnerabilities and intrusion scenarios. Integrating the two approaches makes Intrusion Detection System a comprehensive system for detecting intrusions as well as misuse by authorized users or Anomaly users (unauthorized users) using RFM analysis methodology and monitoring collect data from sensor Intrusion Detection System(IDS).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.267-281
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• 2012

SCADA system is a computer system that monitors and controls the national infrastructure or industrial process including transportation facilities, water treatment and distribution, electrical power transmission and distribution, and gas pipelines. The SCADA system has been operated in a closed network, but it changes to open network as information and communication technology is developed rapidly. As the way of connecting with outside user extends, the possibility of exploitation of vulnerability of SCADA system gets high. The methodology to protect the possible huge damage caused by malicious user should be developed. In this paper, we proposed anomaly detection based intrusion detection methodology by estimating self-similarity of SCADA system.

• Korean Journal of Remote Sensing
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• v.26 no.2
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• pp.239-249
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• 2010

The Geostationary Ocean Color Imager (GOCI) data-processing system (GDPS), which is a software system for satellite data processing and analysis of the first geostationary ocean color observation satellite, has been developed concurrently with the development of th satellite. The GDPS has functions to generate level 2 and 3 oceanographic analytical data, from level 1B data that comprise the total radiance information, by programming a specialized atmospheric algorithm and oceanic analytical algorithms to the software module. The GDPS will be a multiversion system not only as a standard Korea Ocean Satellite Center(KOSC) operational system, but also as a basic GOCI data-processing system for researchers and other users. Additionally, the GDPS will be used to make the GOCI images available for distribution by satellite network, to calculate the lookup table for radiometric calibration coefficients, to divide/mosaic several region images, to analyze time-series satellite data. the developed GDPS system has satisfied the user requirement to complete data production within 30 minutes. This system is expected to be able to be an excellent tool for monitoring both long-term and short-term changes of ocean environmental characteristics.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1199-1206
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• 2021

Accordingly, attention is also being paid to the agricultural use of remote sensing technique that non-destructively and continuously detects the growth and physiological status of crops. However, when remote sensing techniques are used for crop monitoring, it is possible to continuously monitor the abnormality of crops in real time. For this, standard growth information of crops is required and relative growth considering the cultivation environment must be identified. With the relationship between GDD (Growing Degree Days), which is the cumulative temperature related to crop growth obtained from ideal cultivation management, and the vegetation index as standard growth information, compared with the vegetation index observed with the spectralreflectance sensor(SRS_NDVI & SRS_PRI) in each rice paddy treated with standard cultivation management and non-fertilized, it was quantitatively identified as a time series. In the future, it is necessary to accumulate a database targeting various climatic conditions and varieties in the standard cultivation management area to establish a more reliable standard growth information.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.142-144
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• 2008

한국전력공사(이하 한전)에서는 배전계통의 최적운영을 위하여 계통운영에 필요한 기술을 발굴하여 축적하는데 많은 노력을 기울여 왔으며, 계통운영의 핵심 툴인 배전자동화 시스템을 통하여 관련기술을 축적해오고 있다. 우리나라처럼 배전자동화 시스템을 전력회사에서 자체적으로 개발하여 활용하는 사례는 전 세계적으로 유일하며, 이를 기반으로 해외 전력시장에 배전자동화 시스템을 수출하기 위하여 활발한 활동을 지속적으로 추진되고 있다. 배전자동화 시스템을 이용하면 원격으로 현장에 있는 배전자동화기기를 감시, 제어, 조작, 정정이 가능한 기본기능이 구현가능하고, 각종 계통운영에 필요한 기술계산, 즉 전압강하계산, 보호협조검토, 표준조작지시서(SOP)의 생성, 상시개방점 위치조정으로 손실최소화, 분산전원 연계계통 기술검토의 자동처리가 가능해진다. 기술계산프로그램은 최초 개발 당시인 2002년에는 배전자동화시스템 주장치가 설치된 장소인 온라인 상태에서만 사용이 가능하여 사용상 제약을 가지고 있었으나, 이를 개선하고자 2006년 10월 배전자동화기반 오프라인형 기술계산프로그램을 개발하였고 이를 지속적으로 업그레이드를 추진하여 활용해오고 있다. 배전자동화기반 오프라인형 기술계산프로그램은 배전자동화주장치에서 데이터를 추출하여 배전자동화주장치가 아닌 일반PC나 노트북에서도 배전자동화시스템에 내장된 배전계통 정보 즉, 선로길이 및 전력선 제원 등을 직접 이용하므로 각종 기술계산을 신속하고 정확하게 수행하는 것이 가능하게 되었다. 따라서 이를 지속적으로 활용하고 성능개선을 추진하여 배전계통 운영시 신뢰도 제고에 크게 기여할 것으로 기대되고 있다.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.3 s.30
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• pp.61-67
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• 2004

Satellite and aerial images are effectively used to monitor ecological and environmental situation. More and more officials in the Ministry of Environment thus need to utilize these image data for various administrative affairs. However, it is difficult not only to deliver to the officials these image data mostly of large capacity through network but also for them to actively use the delivered data without specialized knowledge in remote sensing and image processing. Therefore, we established a large rapacity image data service system employing image compressive transmission and web-based image processing techniques. This system allows the officials to rapidly access all the associated image data and conveniently utilize the data using various functions implemented for remote sensing, image processing, GIS operations. Consequently, this system have been actively utilized for the decision making processes of the officials and hence accomplished a great reduction in the resources required for the data analysis for various administrative affairs.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.9
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• pp.953-958
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• 2015

Raspberry Pi is a credit card-sized computer with support for a large number of input and output peripherals. This makes it the perfect platform for interaction with many different devices and for usage in a wide range of applications. When combined with Wi-Fi, it can communicate remotely, therefore increasing its suitability for the construction of wireless sensor nodes. In addition, data processing and decision-making can be based on artificial intelligence, what is performed in developed testbed on the example of monitoring and determining the confidence of fire. In this paper, we demonstrated the usage of Raspberry Pi as a sensor web node for fire-safety monitoring in a building. When the UV-flame sensors detect a flame as thin as that of a candle, the Raspberry Pi sends a push-message to notify the assigned smartphone of the on-site situation through the GCM server. A mobile app was developed to provide a real-time video streaming service in order to determine a false alarm. If an emergency occurs, one can immediately call for help.

• Journal of the Institute of Convergence Signal Processing
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• v.19 no.4
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• pp.192-198
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• 2018

Recently, the use of drone has been increasing rapidly in many ways. A drone can capture remote objects efficiently so it is suitable for surveillance and security systems. This paper discusses three methods for detecting moving vehicles using a drone. We compare three target detection methods using a background frame, preceding frames, or moving average frames. They are subtracted from a current frame. After the frame subtraction, morphological filters are applied to increase the detection rate and reduce the false alarm rate. In addition, the false alarm region is removed based on the true size of targets. In the experiments, three moving vehicles were captured by a drone, and the detection rate and the false alarm rate were obtained by three different methods and the results are compared.