• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.333-335
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• 2002

경제 발전에 따른 생활수준의 향상과 수용가 부하용량의 증가로 인하여, 다양한 부하가 사용되고 있다. 반면, 전기사용으로 인한 안전사고와 전기재해 인한 피해가 증가하고 있으며, 이에 대한 대처방안이 요구된다. 특히 전기재해중 인명과 재산에 피해를 주는 전기화재가 대표적 피해 중 하나 일 것이다. 본 논문에서는 저압배전선 시스템에서 발생하는 전기화재 징후들에 관하여 조사하고 이를 모의, 검출하는 방안들에 관하여 제시한다. 전기화재의 두 가지 요인인 아크와 스파크의 전기적 특성에 관하여 조사하고 이들 현상이 수용가에서 사용하는 부하의 동작으로 인한 현상들과 구분되는 특징과 이들 전기화재 징후를 검출하는 방법에 대하여 제시하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.8
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• pp.641-653
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• 2013

Recent cyber attacks targeting control systems are getting sophisticated and intelligent notoriously. As the existing signature based detection techniques faced with their limitations, a whitelist model with security techniques is getting attention again. However, techniques that are being developed in a whitelist model used at the application level narrowly and cannot provide specific information about anomalism of various cases. In this paper, we classify abnormal cases that can occur in control systems of enterprises and propose a new whitelist model for detecting abnormal cases.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.374-382
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• 2020

Purpose: Recently, structural defects in old safety management facilities have led to the collapse of buildings and facilities. The purpose of this study is to develop guidelines for the installation of regular monitoring systems that determine the optimal sensor location for monitoring exhibition space building sensors equipped with visual elements in order to analyze the risk signs of exhibition space buildings and develop measurement technology. Method: The components, installation locations, alarm criteria, and management measures of the instrument are presented. Result: A measure was proposed to determine the location of sensors, secure signal processing technology for analysis by having unified visual perception, and configure optimal 'risk sign detection' based on sensor monitoring through test-bed operation. Conclusion: The results of this study can be prepared against the disasters that may arise from the collapse of exhibition buildings, and contribute to strengthening safety management capabilities.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2037-2042
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• 2017

The manufacturing facility is generally operated by a pre-set program under the existing factory automation system. On the other hand, the manufacturing facility must decide how to operate autonomously in Industry 4.0. Determining the operation mode of the production facility itself means, for example, that it detects the abnormality such as the deterioration of the facility at the shop-floor, prediction of the occurrence of the problem, detection of the defect of the product, In this paper, we propose a manufacturing process modeling using a queue for detection of manufacturing process abnormalities at the shop-floor, and detect abnormalities in the modeling using SVM, one of the machine learning techniques. The queue was used for M / D / 1 and the conveyor belt manufacturing system was modeled based on ${\mu}$, ${\lambda}$, and ${\rho}$. SVM was used to detect anomalous signs through changes in ${\rho}$.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.1-8
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• 2021

In this paper, we propose the construction of an IOT that monitors foresters' physical abnormalities in real time, performs emergency measures, and provides alarms for natural disasters or heatstroke such as a nearby forest fire or landslide. Nodes provided to foresters include 6-axis sensors, temperature sensors, GPS, and LoRa, and transmit the measured data to the network server through the gateway using LoRa communication. The network server uses 6-axis sensor data to determine whether or not a forester has any signs of abnormal body, and performs emergency measures by tracking GPS location. After analyzing the temperature data, it provides an alarm when there is a possibility of heat stroke or when a forest fire or landslide occurs in the vicinity. In this paper, it was confirmed that the real-time detection of physical abnormalities of foresters and the establishment of disaster early warning IOT is possible by analyzing the data obtained by constructing a node and a gateway and constructing a network server.

• Korean Deer Journal
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• v.8 no.5 s.53
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• pp.89-91
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• 2003

사슴의 사육이 집단화하고 사육방법도 인위적으로 제약됨으로써 질병의 발생이 많아지고 있다. 또한 사슴은 아직도 야생동물의 습성이 남아있기 때문에 질병이 발생된 것을 발견하면 거의 폐사직전의 경우로서 치료가 불가능하여 사육농장에서 피해를 보게 된다. 또한 전염병의 경우 인수공통전염병이 발생되면 우리나라에서처럼 혈액을 생으로 마시기 때문에 공중위생적인 면에서도 대단히 중요하다. 따라서 양록업에 있어서 위생적 사양관리, 질병발생의 상황조사 및 질병의 치료와 예방 등에 관해 철저히 조사, 연구하여야 한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.1
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• pp.109-115
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• 2009

This paper describes an early detection for indication of electric accident using current waveform which is measured in electric equipments consisted incandescent lamps. At first, it analyzes characteristics of current monitor in resistive electric circuit. In second, the electric equipment is consisted of incandescent lamps. And the electric accident is simulation of tracking according to KS C IEC(Korea Standard C International Electrostatic Commission) 60112 at some part of the electric equipment. The indication of the electrical accident is detected to analyzing current waveform measured by current monitor. As the tracking breakdown, electric accident, processes, as current pulse is bigger and ratio of appearance also is increased irrespective of amount of load.

• Electronics and Telecommunications Trends
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• v.12 no.6 s.48
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• pp.150-164
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• 1997

정보화 사회의 진전과 더불어 정보통신의 역할이 사회에 미치는 파급효과가 갈수록 커지고 있다. 이러한 파급효과 중 최근 주목을 받고 있는 이 방재이다. 특히, 자연재해의 경우 엄청난 재산상 및 인명상의 피해를 가져오게 된다. 하지만, 자연재해가 갑자기 발생하는 경우는 매우 드물다. 따라서, 재해 발생 징후를 탐지하여 이에 신속하게 대처하거나 재해 발생시에 신속한 상황처리가 이루어진다면, 재산상 및 인명상의 피해를 최소화할 수 있게 된다. 이러한 과정에서 정보통신은 커다란 역할을 수행하게 된다. 본 고는 이러한 재해와 관련되어 정보통신, 특히 위성통신과 이동통신이 어떤 역할을 수행하게 되는지에 대해 살펴보고자 한다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.262-267
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• 2002

화재 발생 재해요인의 가장 큰 비중을 차지하는 것이 전기화재이다. 이러한 전기화재는 1991년도부터 2000년도까지 10년 동안 화재발생 1순위를 차지하고 있으며 전기기기나 전력설비사용의 증가와 함께 점점 화재건수가 증가하고 있으며 이로 인한 인명피해 및 재산피해는 물론 국가 경제에도 크나큰 손실을 주고 있으므로 이에 대한 대책요인으로 안정된 전력요구가 최근에 강하게 요구됨에 따라 전기화재 징후의 조기 발견에 의한 화재의 발생을 미연에 방지할 필요성이 대두되고 있다.(중략)

• Journal of Advanced Navigation Technology
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• v.28 no.2
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• pp.185-192
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• 2024

The aviation has improved safety through technological innovation and strengthened flight safety through safety regulations and supervision by aviation authorities. As the industry's safety approach has evolved into a systematic approach to the aircraft system, airlines have established a safety management system. Technical defects or abnormal data in an aircraft can be warning signs that could lead to an accident, and the risk of an accident can be reduced by identifying and responding to these signs early. Therefore, management of abnormal warning signs is an essential element in promoting data-based decision-making and enhancing the operational efficiency and safety level of airlines. In this study, we present a model to statistically analyze quick access recorder (QAR) flight data in the preliminary analysis stage to analyze the patterns and causes of crab landing events that can lead to runway departures when landing an aircraft, and provide a precursor to a landing event. We aim to identify signs and causes and contribute to increasing the efficiency of safety management.