• 인터넷정보학회논문지
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• 제22권2호
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• pp.19-27
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• 2021

Fireworks Algorithm (FWA) is a new heuristic swarm intelligent algorithm inspired by the natural phenomenon of the fireworks explosion. Though it is an effective algorithm for solving optimization problems, FWA has a slow convergence rate and less information sharing between individuals. In this paper, we improve the FWA. Firstly, explosion operator and explosion amplitude are analyzed in detail. The coefficient of explosion amplitude and explosion operator change dynamically with iteration to balance the exploitation and exploration. The convergence performance of FWA is improved. Secondly, differential evolution and commensal learning (CDE) significantly increase the information sharing between individuals, and the diversity of fireworks is enhanced. Comprehensive experiment and comparison with CDE, FWA, and VACUFWA for the 13 benchmark functions show that the improved algorithm was highly competitive.

• 한국안전학회지
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• 제33권2호
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• pp.39-44
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• 2018

Dust explosions are occurring in a variety of industries. A dust explosion caused by a specific energy generates huge amount of energy in the ignition and releases decomposition gas. Damages can be increased since this released decomposition gas can cause second and subsequent explosions. In this study, the goal was to obtain practical information on what could affect the explosion by comparing the characteristics of two kinds of dusts with completely different chemical properties. Three kinds of dusts were measured and evaluated for explosion pressure, dust explosion index, explosion limit and minimum ignition energy. It is possible to grasp the characteristics of each dust and use it as useful accident prevention data in the production of raw material powder.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.3-5
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• 2008

An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmental description of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapour Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapour Explosion), Fireball and so on, among them, we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.

• 한국통신학회논문지
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• 제33권10C호
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• pp.844-850
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• 2008

본 논문에서는 지하 암반을 타고 전달된 인공발파음 특성을 규명하기 위해 제안한 알고리즘에 대해 기술한다. 지하 암반 매질을 통과한 인공발파음은 다중전달경로 현상과 지질의 불균일 등으로 인해서 거리증가에 따라 고주파 대역에서 감쇠가 발생한다. 본 논문에서는 제안한 알고리즘 성능검증을 위해 지하터널에서 발파 실험을 하였고 수집한 데이터를 가지고 지하암반을 통과한 채널에서 특징 파라미터를 추출하여 수치적으로 정량화함으로써 인공발파음 특성을 규명하였다.

• 한국지역지리학회:학술대회
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• 한국지역지리학회 2009년도 하계학술대회 발표집
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• pp.108-115
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• 2009

An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmentaldescription of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapor Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapor Explosion), Fireball and so on, among them.we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.

• 한국가스학회지
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• 제17권4호
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• pp.45-50
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• 2013

레조르시놀은 목재 및 타이어용 접착제, 합성수지 염료의 원료 등으로 널리 사용되고 있다. 이 물질은 상온에서 흰색 결정으로 분진은 공기 중에서 폭발성 혼합물을 형성할 수 있고 밀폐 공간에서 열에 노출 되었을 경우 폭발 위험성이 있다고 알려져 있다. 본 연구에서는 레조르시놀 취급시 화재 및 폭발 사고 등의 예방을 위한 해당 물질의 열분석, 열안정성, 분진폭발특성 및 최소점화에너지 등의 화재 폭발위험 특성을 평가하였다. 이들 연구결과는 레조르시놀의 사용 및 취급 시 공정의 안전 정보로 활용될 수 있을 것이다.

• 한국컴퓨터정보학회논문지
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• 제10권5호
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• pp.133-140
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• 2005

출입 보안 시스템에서 과다한 이벤트 발생으로 인해 네트워크가 마비되는 경우가 종종 발생된다. 이때 이벤트 발생 원인을 분석하고 이를 대처하기 위해서는 많은 시간이 소요되며 그 시간동안 ACU와 출입보안 서버와의 연결이 끊어지게 되어 출입 현황 및 출입자 정보의 갱신 등을 실시간으로 처리할 수 없게 된다. 본 논문에서는 이벤트에 의한 정보폭주를 방지하기 위하여 분류알고리즘을 제안하였다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
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• pp.41-44
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• 2021

In this paper, we propose a monitoring system that can monitor gas leakage concentrations in real time and forecast the amount of gas leaked after one minute. When gas leaks happen, they typically lead to accidents such as poisoning, explosion, and fire, so a monitoring system is needed to reduce such occurrences. Previous research has mainly been focused on analyzing explosion characteristics based on gas types, or on warning systems that sound an alarm when a gas leak occurs in industrial areas. However, there are no studies on creating systems that utilize specific gas explosion characteristic analysis or empirical urban gas data. This research establishes a deep learning model that predicts the gas explosion risk level over time, based on the gas data collected in real time. In order to determine the relative risk level of a gas leak, the gas risk level was divided into five levels based on the lower explosion limit. The monitoring platform displays the current risk level, the predicted risk level, and the amount of gas leaked. It is expected that the development of this system will become a starting point for a monitoring system that can be deployed in urban areas.

• 한국안전학회지
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• 제37권4호
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• pp.92-100
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• 2022

Of the Korean military's 3,959 ammunition depots, 1,007 - more than 25% - violate safety requirements for distance and equipment. There is a risk of explosion in old depots that are vulnerable to various interior and exterior accidents. This paper examines 10 scenarios, with varying values for ammunition amount and safety distance. The study calculated the overpressure that can be applied to risk-exposure objects, based on the safety distance; expected damage was predicted using constructed spatial information from 3D explosion simulations. The simulations confirmed that explosion overpressure increased the most when the safety distance violation rate increased from 80% to 90%. It also confirmed that secondary damage such as fire and explosion can cause casualties and property damage when the violation rate is 60% or higher. The results show that building collapse becomes a risk with a violation rate of 70% or higher. We conclude that taking ammunition depot safety distance violation into account when planning military facilities and their land utilization could better protect life and property.

• 한국재난정보학회 논문집
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• 제16권1호
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• pp.44-59
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• 2020

이 논문에서는 2층 건물 지하층의 다방에서 가스냄새가 난다고 119신고가 되어 소방대원들이 출동하여 옥상에 있는 LPG 가스통들의 밸브를 직접 잠그고 지하층 다방의 중간밸브의 잠금 상태를 확인하고 현장에 도착한 가스공급 및 설치 업자에게 안전조치를 취하도록 요구하고 철수한 후 7분 만에 가스폭발사고가 발생하여 2명이 사망하고 21명이 부상을 입은 사례를 분석하고 있다. 법원은 가스폭발사고의 원인이 규명되지 아니하였으므로 가스공급 및 설치 업자와 한국가스안전공사에 배상 책임을 물을 수 없고 안전조치를 하지 않고 철수한 소방기관에게만 배상책임이 있다고 판결하였다. 그러므로 가스가 누설된다고 119신고가 되는 경우에 출동한 소방대는 가스 밸브를 잠그고 사람들을 대피시키거나 접근하지 못하게 하고 환기를 시키는 등 안전조치를 하고 화재나 폭발가능성이 없음을 확인한 후 철수해야 한다.