• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.35-36
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• 2015

무인항공기는 광대역의 전장 정보를 실시간으로 획득하거나 적 위협정보를 파악하기 위해 영상정보를 활용하며 보다 정확한 감시 및 정찰 정보의 획득과 가시화를 위해 정밀한 영상정보처리 기법이 요구된다. 이를 위해 본 논문에서는 무인항공기를 통해 획득한 영상 정보를 지상통제장비로 전송하고 이를 효과적으로 시각화하는 통합 시스템을 제안한다. 제안하는 영상정보처리 시각화 시스템을 통해 무인항공기와 지상통제장비는 전장에서 요구되는 임무와 역할을 효과적으로 수행할 것으로 기대한다.

• Bulletin of the Korean Space Science Society
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• 2010.04a
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• pp.40.1-40.1
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• 2010

한국천문연구원 우주과학연구본부 태양우주환경연구그룹은 일본 Tierra Tecnica사의 RFP-523C Overhauser Proton 자력계와 MISYS-09 삼축 MI 자력계를 2009년 11월에 보현산천문대 태양망원경동에 구축하였다. 한국천문연구원은 이미 2007년 11월에 RFP-523C Fluxgate 자력계를 보현산천문대 태양망원경동에 구축하여 K 지수 산출 등의 우주환경예 경보 연구에 활용하고 있다. Fluxgate 자력계는 지자기 3축 성분의 변화량을 측정하는 장비이고 이번에 설치한 Overhauser Proton 자력계는 지자기의 총 자기장을 측정하는 장비이다. 삼축 MI 자력계는 지자기장의wave를 측정하는 장비이다. 기존에 설치한 Fluxgate 자력계와 새로 설치한 Proton 자력계, 삼축 MI 자력계를 연계하여 운용할 경우 우주환경에 의한 지자기장 변화량의 측정 정밀도가 향상되고 지자기장을 효율적으로 관측할 수 있다. 보현산천문대에 구축한 각각의 자력계가 측정한 지자기 자료들은 S-FTP와 Socket 통신을 이용하여 대전에 있는 한국천문연구원 태양우주환경연구그룹의 데이터 서버로 실시간으로 전송되어 저장되고 있다. 데이터 서버로 전송된 지자기 측정 자료들은 한국천문연구원 우주환경감시실에서 모니터링하고 있다.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.259-265
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• 2016

In this paper, a remote control system capable of monitoring and controlling the temperature of a refrigerator in real time using the ZigBee communication technology is developed. The developed system provides 24-hour surveillance function including temperature maintenance and it is able to determine monitored data from a remote location and to change the setting of the temperature value. In case the value is out of the setting, it is designed for administrators to verify the problem and take action, sending alarms to management server and the emergency to a preset administrator via SMS. Applying this system to refrigerators storing commercial, medical, and experimental material, the real time status such as temperature and malfunction of refrigerator can be managed up to 16 SZM(Slave Zigbee Module) by only one MZM(Master Zigbee Module).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.306-309
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• 2022

Recently, the frequency of earthquakes is rapidly increasing in Korea. As a result, concerns about earthquakes are increasing. Response and recovery in the event of an earthquake are also important, but it is necessary to identify management vulnerabilities in advance and perform prevention and preparation activities. K-water collects real-time earthquake data by operating an earthquake accelerator to manage facilities safe from earthquakes. In addition, real-time data is transmitted to external organizations. Therefore, various efforts are being made to improve the quality of data. In order to reduce the management vulnerability of the earthquake monitoring system in advance, high-quality data can be produced by minimizing the delay time of data collection and establishing a real-time quality analysis system and base for earthquake data using big data. Accordingly, it is expected to protect the lives and property of the people from earthquake disasters by securing dam safety management and high-quality earthquake data and providing rapid data to external institutions.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.6
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• pp.7-14
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• 2019

The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.4
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• pp.362-369
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• 2014

A railway SCADA system is a control systems that provide the trains with the electricity. A railway SCADA system sends commands to the RTUs(remote terminal unit) and then it gathers status information of the field devices in the RTUs or controls field devices connected with the RTUs. The RTU can controls input output modules directly, gathers the status information of the field devices connected with it, and send the information to the control center. In this way, a railway SCADA system monitors and controls the electricity power for running trains. The cyber attackers may use some vulnerabilities in the railway SCADA system software to attack critical infrastructures. The vulnerabilities might be created in the railway software development process. Therefore it need to detect and remove the vulnerabilities in the control system. In this paper we propose a new control protocol fuzzing method to detect the vulnerabilities in the DNP3 protocol based application running on VxWorks in RTU(Remote Terminal Unit) that is a component of the centralized traffic control system for railway. Debug-channel based fuzzing method is required to obtain process status information from the VxWorks.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.249-256
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• 2009

This paper introduces an efficient USN (ubiquitous sensor network) for monitoring blind areas in a skiing resort, developed as a part of u-Sport showcase project of Gangwon Province. Blind areas of a skiing resort are dangerous and/or steep areas located aroud ski slopes, which are rarely traveled and not easily seen by a ski patrol. If an accident occurs in such a blind area, the main control center of the sking resort can hardly recognize the accident and provide first aid and rescue services promptly. The blind area monitoring system proposed in this paper monitors a blind area of a skiing resort using five battery-powered sensor nodes each of which has an image sensor on it and wirelessly transmits images around the blind area to the main control center on a regular basis, therebly allowing real-time monitoring of the blind area and prompt rescue services in case of accidents. Additionally, the monitoring system provides an emergency button which skiers injured in the blind area can push. If the button is pushed, an image around the button and an alarm signal are transmitted to the main control center and therefore the main control center can take prompt actions for rescuing the injured skiers.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.5
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• pp.428-434
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• 2010

In this paper, we propose intelligent SAN(Ship Area Network) which is reliable transmission by integration of optical network of wire communication and Zigbee of wireless communication. We also implement module for remote control and constitute, managing for a various sensors and a controllers which are connected SAN integration network It will be help to prevent accident of ship to monitor work environment, real time monitoring of a equipment and main compartment of a poor ship inside. And it will be also available to enhance labor reduction, sailing safety and sailing economical efficiency of ship inside.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.379-385
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• 2012

This paper suggests U-healthcare system for individual health management realizing the gateway, client, and Java-based network server by using the vital signal measuring system and android-based mobile platform. This study realized the vital signal measuring system based on the technology to measure the ECG, oxygen saturation, blood pressure, and respiration, etc. And all the information of measurement was transmitted to the mobile gateway using the 3-bite transmission protocol consisting of headers and data. The data transmitted to the mobile gateway was used to examine the mobile client's personal health indexes through the network server. This paper realized and tested the android-based gateway, client, and the broadcasting network server and verified their validity with simulations and actual humans. As a result, the U-healthcare system suggested was proved to be effective in managing each individual's health from short distance and long distance. And it could examine each individual's health conditions in real-time and was found to be advantageous in that it could secure the guardian's mobility.

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.71-79
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• 2003

Up to row, researchers have observed experiment environment to study about raising procedure and an ecology of the ocean fishes with naked eye. Then they can monitor status information in only laboratory such as temperatures, image of the fish farm, etc. Such the existing way as this can't observe an ecology of the ocean fishes with scientific and systematic method and moreover it needs many of researchers. So in this paper, we design and implement a fish farm monitoring system which receives status of remote experiment environment through the internet whenever you want it and wherever you want it, and monitors and analyzes its status using embedded system of which the operating system is linux.