• International Journal of Safety
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• 제6권2호
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• pp.27-32
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• 2007

For last several decades with the achievement of fast economic development, the electrical fires occupies over 30 percent of total fire incidents almost every year in Korea and not decreased in spite of much times and efforts. Electrical fire cause diagnostics are to confirm a cause for the fire by examination of fire scene. Cause diagnosis methods haven't been systematized yet, because of limits for available information, investigator's biased knowledge, etc. Therefore, in order to assist the investigators and to find out the exact causes of electrical fires, required is research for an electrical fire cause diagnosis system using DB, computer programming and some mathematical tools. The electrical fire cause diagnosis system has two functions of DB and electrical fire cause diagnosis. The cause diagnosis is conducted by a case-based reasoning on a case base and rule-based reasoning on a rule base. For the diagnosis with high reliability, a mixed reasoning approach of a case-based reasoning and fuzzy rule-based reasoning has been adopted. The electrical fire cause diagnosis system proposes the electrical fire causes inferred from the diagnosis processes, and possibility of the causes as well.

• 한국자동차공학회논문집
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• 제21권1호
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• pp.9-16
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• 2013

Although it is widely accepted that a fire can occur due to electrical causes even when an engine stops, there is little introduction of detailed case analysis. This study analyzed a fire case caused by an electrical cause during engine stopping at parking lot in detail. Moreover, it was revealed that the fire was mainly caused by design defect.

• 한국안전학회지
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• 제21권3호
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• pp.16-21
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• 2006

This paper presents a knowledge-based electrical fire cause diagnosis system using the fuzzy reasoning. The cause diagnosis of electrical fires may be approached either by studying electric facilities or by investigating cause using precision instruments at the fire site. However, cause diagnosis methods for electrical fires haven't been systematized yet. The system focused on database(DB) construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. The cause diagnosis system for the electrical fire was implemented with entity-relational DB systems using Access 2000, one of DB development tools. Visual Basic is used as a DB building tool. The inference to confirm fire causes is conducted on the knowledge-based by combined approach of a case-based and a rule-based reasoning. A case-based cause diagnosis is designed to match the newly occurred fire case with the past fire cases stored in a DB by a kind of pattern recognition. The rule-based cause diagnosis includes intelligent objects having fuzzy attributes and rules, and is used for handling knowledge about cause reasoning. A rule-based using a fuzzy reasoning has been adopted. To infer the results from fire signs, a fuzzy operation of Yager sum was adopted. The reasoning is conducted on the rule-based reasoning that a rule-based DB system built with many rules derived from the existing diagnosis methods and the expertise in fire investigation. The cause diagnosis system proposes the causes obtained from the diagnosis process and showed possibility of electrical fire causes.

• 한국철도학회논문집
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• 제13권4호
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• pp.455-461
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• 2010

본 연구에서는 철도운영 및 시설기관의 사고/장애 데이터를 분석하여 근본원인-사고원인-위험원에 대한 분류체계를 수립하였고, 사고유형, 사고원인, 위험원, 근본원인에 대한 패턴분석을 통해 주요 사고별로 사고에 영향을 미치는 원인이 무엇인지를 정확히 분석하여, 철도사고를 유발할 수 있는 위험원인를 근본적으로 차단하기 위해 사고원인분석 정보를 국가 및 철도운영기관 등이 활용함으로써 효율적인 철도안전정책을 수립할 수 있는 사고원인분석시스템을 개발하였다.

• 한국화재소방학회논문지
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• 제21권2호
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• pp.42-47
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• 2007

본 연구는 객체 관계형 DB를 이용한 전기화재 원인을 진단할 수 있는 사례기반 시스템을 개발하였다. 시스템은 간편하고 그리고 효율적으로 DB를 구축 및 전기화재의 원인 진단에 중점을 두고 있다. 전기화재와 관련된 정보를 저장하고 접근하기 위해서 전기화재를 분별할 수 있는 주요한 항목들을 도출하였다. 사례기반 시스템은 과거의 전기화재 사례로부터 정보를 추출하여 구성하고, 새롭게 발생된 화재의 원인은 패턴매칭을 통해 사례기반 DB를 검색함으로써 진단될 수 있다. 사례기반 시스템은 수집된 다양한 정보를 이용하여 다중 속성에 대한 검색 기능뿐만 아니라 원인진단을 쉽게 사용될 수 있도록 향상된 진단 기능을 갖고 있다.

• International Journal of Safety
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• 제4권2호
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• pp.12-17
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• 2005

This paper aims at the development of an knowledge base for an electrical fire cause diagnosis system using the entity relation database. The relation database which provides a very simple but powerful way of representing data is widely used. The system focused on database construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. In order to store and access to the information concerned with electrical fires, the key index items which identify electrical fires uniquely are derived out. The knowledge base consists of a case base which contains information from the past fires and a rule base with rules from expertise. To implement the knowledge base, Access 2000, one of DB development tools under windows environment and Visual Basic 6.0 are used as a DB building tool. For the reasoning technique, a mixed reasoning approach of a case based inference and a rule based inference has been adopted. Knowledge-based reasoning could present the cause of a newly occurred fire to be diagnosed by searching the knowledge base for reasonable matching. The knowledge-based database has not only searching functions with multiple attributes by using the collected various information(such as fire evidence, structure, and weather of a fire scene), but also more improved diagnosis functions which can be easily wed for the electrical fire cause diagnosis system.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문초록집
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• pp.382.1-382
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• 2002

This paper presents a new approach integrated Case-Based Reasoning with Self- Organization Map(SOM) in diagnosis systems. The causes of faults are obtained by case-base trained from SOM. When the vibration problem of rotating machinery occurs, this provides an exact diagnosis method that shows the fault cause of vibration problem. In order to verify the performance of algorithm, we applied it to diagnose the fault cause of the electric motor.

• 자동차안전학회지
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• 제6권2호
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• pp.67-71
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• 2014

Based on the analysis of the actual passenger vehicle fire cases for recent four years (2010~2013), the passenger vehicle fire is increasing annually. Main root cause was analyzed as an electric problem as a 39%. Vehicle fire case by electric problem was mainly caused by use of Non-genuine part. Vehicle fire case by mechanical problem was mainly caused by various oil system maintenance. Vehicle fire case by smoking material was mainly caused by cigarette and disposal lighter. And external fire transition issue and towing mistake fire cases was also confirmed.

• 사상체질의학회지
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• 제29권3호
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• pp.280-287
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• 2017

Objectives The purpose of this study is to investigate the effect of Jihwangbaekho-tang on chest discomfort of unknown cause in a 52-year-old male patient diagnosed with Soyangin. Methods Patient had chest discomfort. But, the cause of this symptom was not identified by various cardiac examinations. The patient was treated with Soyangin Jihwangbaekho-tang for 2 weeks on the basis of Sasang Constitutional Medicine and the symptoms were evaluated by GAS(Global Assessment Scale). Results After using Jihwangbaekho-tang, GAS score has been decreased from 7 to 3. Conclusions This case study suggests that chest discomfort, whose cause is unknown, can be treated when using Sasang Constitutional Medicine.

• 한국환경보건학회지
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• 제35권4호
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• pp.249-258
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• 2009

The objectives of this study were to compare the relative risk of all-cause mortality and cause-specific mortality associated with Asian dust events, and especially to investigate the effects on the susceptible population such as the elderly and children, which were based on the data in Seoul from 2000 to 2006. Both of the study periods with/without Asian dust days, respiratory-cause mortality was the highest, followed by cardiovascular-cause mortality and all-cause mortality in sequence among mortality related to air pollution for all-aged group. As to susceptible group, the relative risk of mortality is the highest for +65 yrs group among all-cause mortality. According to comparison of mortality with/without Asian dust days, the relative risk of all-cause mortality is larger in the model with Asian dust days than the one in the model without Asian dust days among all age group (except for under 15 yrs group) and all air pollutants. The relative risk of cause-specific mortality (except for ozone in under 15 yrs group in case of respiratory-cause mortality, and ozone in all age group and over 65 yrs group in case of cardiovascular-cause mortality) per IQR increase of each pollutant is larger in the model without Asian dust days.