• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.89-101
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• 2023

In order to prevent damages caused by cyber-attacks on nations, businesses, and other entities, anomaly detection techniques for early detection of attackers have been consistently researched. Real-time reduction and false positive reduction are essential to promptly prevent external or internal intrusion attacks. In this study, we hypothesized that the type and frequency of attack events would influence the improvement of anomaly detection true positive rates and reduction of false positive rates. To validate this hypothesis, we utilized the 2015 login log dataset from the Los Alamos National Laboratory. Applying the preprocessed data to representative anomaly detection algorithms, we confirmed that using characteristics that simultaneously consider the type and frequency of attack events is highly effective in reducing false positives and execution time for anomaly detection.

• Fire Science and Engineering
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• v.6 no.2
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• pp.15-24
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• 1992

우리나라는 1960년대의 경제개발계획에 따른 공업화 시축의 추진으로 산업의 발달과 경제성장은 인구를 도시로 집중시키면서 도시건축물은 대형화, 고층화, 과밀화 현상을 가져왔다. 한편, 국민생활의 향상과 산업활동의 다양화로 화재발생의 주요원인이 되는 전기, 가스, 유류등의 사용량이 해마다 늘어나고 있어 화재의 위험을 가중시키고 있다. 최근 10연간('81~'90) 전국에서 발생한 화재사고는 9만 5,154건이 발생하여 인명피해 1만1,117명, 재산피해 1,859억 2,200만원의 많은 손실을 가져 왔으며, 이 중에는 서울에서 발생한 화재가 3만6,089건으로 전체의 37.9%을 차지하고 있다. 화재가 발생할 경우 대형 참사를 방지하고 귀중한 인명피해는 물론 경제적 손실을 최저로 줄일 수 있는 소방시설을 도시건축물에 설치하여 이에 대비하는 것이 무엇보다 귀중한 일이다. 이는 화재예방 또는 발생 초기에 이를 감지, 통보하고 피난하며 소화활동에 이르는 모든 방재 및 소화를 위한 소방시설의 유용성을 최대로 발휘할 수 있기 때문이다. 본 논문에서는 서울특별시를 중심으로 도시건축물에 설치된 소방시설의 유지 관리 실태와 화재시 소방시설의 이용실태를 분석하여 문제점을 도출하고 이에 대한 개선방향을 제시하므로서 예방소방행정의 발전을 기하고저 하였으며, 그 내용을 요약하면 다음과 같다. 제1장에서는 서론부분으로서 연구의 목적과 범위및 접근 방법을 서술하였고, 제2장에서는 도시소방행정의 특성 및 소방환경의 변화로 먼저 소방행정의 의의와 도시소방행정의 유형으로 예방소방과 진압소방 그리고 구급.구조업무등을 살피고. 도시소방환경변화에 따른 화재발생추세를 살펴 보았다. 제3장에서는 도시건축물에 설치하는 소방시설의 설치.유지 및 이용실태를 검사.분석하였다. '90년도 서울시내 소방서에서 실시한 소방대상물에 대한 소방검사와 방화관리자에 대한 설문조사를 실시하여 소방시설의 유지관리실태를 통계.분석한 결과, 소방시설이 양호한 소방대상물은 전체의 75.9%이며, 불량소방대상물은 24.1%로 나타났다. 그리고 화재가 발생한 소방검사대상물에 대한 화재현장 조사결과 화재시 소방시설을 사용한 소방대상물은 전체의 72.1%를 차지하고 있다. 제4장에서 는 소방시설의 문제점으로 \circled1 소방설비부실공사, \circled2 소방시설 유지관리능력부족, \circled3 소방검사제도 불합리등이며, 이에 대한 개선방향으로 \circled1 소방설비 시공자의 지도. 감독강화, \circled2 자체시설관리능력향상, \circled3 예방소방행정제도의 개선을 제시하였다. 제5장은 결론으로, 우리나라가 최근 경제성장과 산업의 발달로 도시건축물의 화재발생 위험이 가중되면서 이에 대한 소방안전대비책이 요구된다. 이에는 도시건축물에 방화시설과 소방시설을 완비하고, 그리고 자격있고 유능한 방화관리자 선임하여 자체 소방계획을 수립하여 시설점검, 정비와 유지관리를 철저히 한다면 어떠한 화재도 예방 또는 초기에 진압할 수 있고, 또한 입주검자에 대한 소방교육 및 훈련을 지속적으로 수행하여 나간다면 여하한 도시건축물의 소방안전도 그 목적을 달성하리라고 생각한다.

• Journal of the Korean Institute of Gas
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• v.16 no.3
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• pp.22-28
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• 2012

For a methanol separation column of the BPA (Bisphenol A) plant, HAZOP (hazard and operability) assessment was performed and damage ranges were predicted from the accident scenarios for the fire and the explosion. As a result, the damage range of the jet fire was 20 m in the case of rupture of the discharge pipe (50 mm diameter) of safety valve, and that of the flash fire was 267 m in the case of catastrophic rupture. Also, the damage ranges of the unconfined vapor cloud explosion (UVCE) for the rupture of the discharge pipe and for the catastrophic rupture were 22 m and 542 m, respectively. For the worst case of release scenarios, safety measures were suggested as follows: the pressure instruments, which can detect abnormal rise of the internal pressure in the methanol separation column, should be installed by the 2 out of 3 voting method in the top section of the column. Through the detection, the instruments should simultaneously shut down the control and the emergency shut-off valves.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.2
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• pp.493-500
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• 2011

Recently, there has been an increase in the number of disaster victims locally due to climate change and a variety of frequently occurring natural disasters. The damage caused by abrupt weather change in local area by typical weather forecasting techniques is very limited and difficult. Recently local area weather monitoring system using wireless sensor network technology has been very actively studied. Thus an IEEE 802.15.4-based weather field server to measure and monitor the local weather changes was designed and developed in this study. The proposed weather field server utilizes a wireless sensor node and weather sensors to collect weather information such as temperature, humidity, illumination, dew point, barometric pressure, and water level. The integrated weather sensor board was designed to respond quickly to weather changes, and provide feedback to the server PC. Each weather information is analyzed in the server PC to establish a program to monitor and analyze the local area or the area of abrupt climate change in order to provide warning signals in case of disaster events in local.

• Fire Science and Engineering
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• v.26 no.1
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• pp.61-67
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• 2012

In the three-phase power system using the three-phase motor, when any one-phase is open-phase, the unbalanced current flows and the single-phase power supplied by power supply produces overcurrent to motor coil. As a result, the enormous damage and electrical fire can be given to the power system. Recently, the thermal over-current relay (THR) or electronic motor protection relay (EMPR) is mostly used as the open-phase detection device of the three-phase motor. When the over-current or overheat of electric line is generated, it detects and operates circuit breaker, but there is the defect that the sensing speed is slow, the operation can be sometimes failed, and the precision is decreased. In order to improve these problems, this paper is proposed a new control circuit topology for openphase protection using semiconductor devices. Therefore, the proposed open-phase protection device (OPPD) enhances the sensing speed and precision, and has the advantage of simple fitting in the three-phase motor control panel in the field, as it manufactures into small size and light weight. As a result, the proposed OPPD protects the three-phase motor, minimizes the electrical fire from openphase, and contributes for the stable driving of the power system. The performance and confidence of the proposed OPPD is confirmed by a great variety of the experiments of operation characteristic.

• Journal of the Society of Disaster Information
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• v.16 no.1
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• pp.96-110
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• 2020

Recently, due to global warming, it is easily exposed to various disasters such as fire, flood, and earthquake. In particular, large-scale disasters have continuously been occurring in crowded areas such as traditional markets, facilities for the elderly and children, and public facilities where various people stay. Purpose: This study aims to detect a fire occurred in crowded facilities early in the event to analyze and provide an optimal evacuation route using big data and advanced technology. Method: The researchers propose a new algorithm through context-aware 3D object model technology and A* algorithm optimization and propose a scenario-based optimal evacuation route selection technique. Result: Using the HPA* E algorithm, the evacuation simulation in the event of a fire was reproduced as a 3D model and the optimal evacuation route and evacuation time were calculated for each scenario. Conclusion: It is expected to reduce fatalities and injuries through the evacuation induction technique that enables evacuation of the building in the shortest path by analyzing in real-time via fire detection sensors that detects the temperature, flame, and smoke.

• Fire Science and Engineering
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• v.32 no.4
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• pp.25-34
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• 2018

This study investigated the development of a fire alarm system with evacuation lighting and voice alarm functions. The performance of a fire detector and system with independently built-in evacuation lighting and voice alarm functions was confirmed for early recognition of fire and to allow visibility of the evacuation route in the event of fire. This new system satisfied model recognition and product testing technological standards with 1.62 lx average illumination, 89.7 dB average sound and 86.1 dB average voice. From additionally testing the evacuation performance of this new system, it was confirmed that the evacuation time decreased by 63.08% to 67.82% under the experimental conditions compared to conventional systems. The new system can minimize fire damage by setting off voice alarms to prevent failure of fire recognition and by flashing emergency lighting to secure the minimum required visibility range for evacuation. Therefore, it is considered that it will be utilized as a fire alarm system with appropriateness and usefulness by considering people with hearing or visual impairment.

• Journal of Advanced Marine Engineering and Technology
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• v.40 no.3
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• pp.228-234
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• 2016

As a college dormitory has the features of high dwelling density and a floating population that becomes crowded during particular times, when a disaster such as a fire occurs, it has the risk of causing much loss of life. In this study, the fire simulation program Fire Dynamics Simulator (FDS), is used to predict the risk when a fire occurs, to analyze the problem, and to suggest an improvement plan for a new cadet dormitory at an university in Korea. The research results are as follows. When a fire occurred in the ironing room inside the cadet dormitory, a smoke detector operated after 65 seconds. Thirteen seconds later, a sprinkler started to operate. The temperature and carbon monoxide density reached the limit value at 241 and 248 seconds, respectively. Because the limit visibility value was reached within 66 seconds after the occurrence of a fire, it is predicted that preparation must be finished and evacuation should begin within 1 minute after the fire occurs, in order to have no casualties. Synthesizing this dormitory fire risk prediction result, the visibility value is considered to be the most dangerous factor for personal safety. Because of this, installing a smoke extraction system is suggested to secure visibility. After the installation of a smoke extraction system, the problem of smoke diffusion in the corridors improved.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.163-169
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• 2020

Recently, research on automation and unmanned operation of machines in the industrial field has been conducted with the advent of AI, Big data, and the IoT, which are the core technologies of the Fourth Industrial Revolution. The machines for these automation processes are controlled based on the data collected from the sensors attached to them, and further, the processes are managed. Conventionally, the abnormalities of sensors are periodically checked and managed. However, due to various environmental factors and situations in the industrial field, there are cases where the inspection due to the failure is not missed or failures are not detected to prevent damage due to sensor failure. In addition, even if a failure occurs, it is not immediately detected, which worsens the process loss. Therefore, in order to prevent damage caused by such a sudden sensor failure, it is necessary to identify the failure of the sensor in an embedded system in real-time and to diagnose the failure and determine the type for a quick response. In this paper, a deep neural network-based fault diagnosis system is designed and implemented using Raspberry Pi to classify typical sensor fault types such as erratic fault, hard-over fault, spike fault, and stuck fault. In order to diagnose sensor failure, the network is constructed using Google's proposed Inverted residual block structure of MobilieNetV2. The proposed scheme reduces memory usage and improves the performance of the conventional CNN technique to classify sensor faults.

• Journal of the Korean Geographical Society
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• v.43 no.6
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• pp.824-842
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• 2008

The main objective of the study was to analyze the weather conditions of frost occurrence for protecting crops against frost damage in Korea. The primary data used for the analysis of meteorological characteristics of frost occurrence days are the airmass pattern, minimum temperature, grass minimum temperature, daily temperature range, relative humidity, minimum relative humidity, mean wind speed in autumn and spring. Frost often occurs when the migratory anticyclone passes the southwest of Korea. The importance of grass minimum temperature measurements for agricultural purposes has previously been recognized. The grass minimum thermometer is capable of detecting ground frosts which are often not recorded by the minimum thermometer. The minimum temperature of frost occurrence days is above $0^{\circ}C$ in the coastal area, but the grass minimum temperature of frost occurrence days is below $0^{\circ}C$ in the whole area. The daily temperature of frost occurrence days is about 9 to $12^{\circ}C$ in the coastal area and is over $14^{\circ}C$ in the inland area. The minimum relative humidity of frost occurrence days is about 30 to 50%. The mean wind speed of frost occurrence days is less than 2m/sec.