• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.133-134
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• 2022

Recently, the criteria for assessing industrial accidents have been replaced by the mortality rate. It was found that the number of deaths from excavation work was the highest among construction machinery. The risk assessment is being conducted, however the industrial accident mortality rate has not decreased. Accordingly, this study aims to provide the basic for the create of a risk assessment model specialized in construction work at excavator. It provides absolute value from the risk model which is capable of delivery the probability of a disaster. In addition, we provide a relative risk model that compares the risk through scores between detailed works. The relative risk model is combined by likelihood and severity; the likelihood indicates the frequency of accidents and the severity indicates seriousness of fatal accidents. A variable that reflects the conditions of the construction site was added to the risk assessment model based on past disaster cases. And using the concepts of probability and average, the risk assessment process was quantified and used as an objective indicator. Therefore, the model is expected to reduce disasters by raising the awareness of disasters.

• Journal of the Korean Society of Safety
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• v.30 no.6
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• pp.156-163
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• 2015

The number of the lifts installed and used in Korea totals up to 526,676 units as of the end of December 2014, due to the development and urbanization of this country. Since the lift is one of the convenience facilities and especially a kind of essential transportation facilities used by a majority of passengers everyday, it is necessarily required to manage the lift safety. Therefore, this study aims to determine the 5 factors(kinds of lifts, ages of victims, causes of accidents, seasons in accidents, usages of buildings) affecting the types(caught in, trip over, falling, collision) and the injury levels(death, serious injury, minor injury) of the lift accidents based on the analysis of the total victims of 1,514 people due to the 1,146 accidents which have occurred for the past 15 years, and to find the frequency and ratio of each factor in the accidents, and to make a correlation among the factors. As the result of the analysis, it shows that there exists a statistically significant correlation among the factors.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.1-8
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• 2009

The port, differently from general working place, is a closed area to execute security, customs, and quarantine procedures. The loading and unloading is being done differently by cargoes, ships, berths, and equipments. To load and unload a lot of equipments and different types of labor are required, in which work flow is very complicated. As above mentioned the port is very unique and deteriorated working place including danger. Now frequency of cargo handling accidents in port is highest for the second time among all industries. The purpose of this study is to propose ways to analyze and establish the preventive measure for cargo handling accidents in port. We have collected 45 accidents happened at Incheon Port during the period from 2007 to 2009. And the result of analysis, we proposed the new safety management system and safety education to reduce cargo handling accidents and to promote the quality of cargo handling in Incheon Port. Within the framework of effective safety management of cargo handling in port, this study will help to revise and establish system, education, and standard working manual with respect to the port loading and unloading system.

• Journal of the Korean Society of Safety
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• v.38 no.1
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• pp.1-8
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• 2023

It is extremely important to design safety-guaranteed industrial processes because such process determine the ultimate outcomes of industrial activities, including worker safety. Application of artificial intelligence (AI) in industrial safety involves modeling industrial safety systems by using vast amounts of safety-related data, accident prediction, and accident prevention based on predictions. As a preliminary step toward realizing AI-based industrial safety in Korea, this study discusses neural network-based modeling of industrial safety systems. The input variables that are the most discriminatory relative to the output variables of industrial safety processes are selected using two information-theoretic measures, namely entropy and cross entropy. Normalized frequency and severity of industrial accidents are selected as the output variables. Our simulation results confirm the effectiveness of the proposed neural network model and, therefore, the feasibility of extending the model to include more input and output variables.

• Safety and Health at Work
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• v.8 no.1
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• pp.59-66
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• 2017

Background: Despite considerable efforts made in recent years, the industrial accident rate and the fatality rate in the Republic of Korea are much higher than those in most developed countries in Europe and North America. Industrial safety policies and safety regulations are also known to be ineffective and inefficient in some cases. Methods: This study focuses on the quantitative evaluation of the effectiveness of direct safety regulations such as safety certification, self-declaration of conformity, and safety inspection of industrial machines in the Republic of Korea. Implications on safety policies to restructure the industrial safety system associated with industrial machines are also explored. Results: Analysis of causes in industrial accidents associated with industrial machines confirms that technical causes need to be resolved to reduce both the frequency and the severity of such industrial accidents. Statistical analysis also confirms that the indirect effects of safety device regulation on users are limited for a variety of reasons. Safety device regulation needs to be shifted to complement safety certification and self-declaration of conformity for more balanced direct regulations on manufacturers and users. An example of cost-benefit analysis on conveyor justifies such a transition. Conclusion: Industrial safety policies and regulations associated with industrial machines must be directed towards eliminating the sources of danger at the stage of danger creation, thereby securing the safe industrial machines. Safety inspection further secures the safety of workers at the stage of danger use. The overall balance between such safety regulations is achieved by proper distribution of industrial machines subject to such regulations and the intensity of each regulation. Rearrangement of industrial machines subject to safety certification and self-declaration of conformity to include more movable industrial machines and other industrial machines with a high level of danger is also suggested.

• Journal of the Korean Society of Safety
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• v.31 no.1
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• pp.7-12
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• 2016

This study first focuses on the quantitative evaluation of both compulsory and voluntary safety certification of industrial machines and devices. Based on the results of statistical analysis, effectiveness of those safety certifications were confirmed. In order to reduce both the frequency and the strength of industrial accidents associated with industrial machines and devices, major target of safety regulations needs to be shifted from users to manufacturers. Adjustment of industrial machines and devices which are subject to compulsory safety certification and implementation of risk assessment are further suggested. As for the voluntary certification, reestablishment of the concept of voluntary safety certification and balance between compulsory and voluntary certifications is discussed. Voluntary safety certification is further suggested as a mean to manage safety of industrial machines and devices which are not subject to any safety regulations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.212-219
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• 2021

Chemical accidents caused by transport vehicles account for 20% of all chemical accidents every year, but there are difficulties in the accident-response process due to repeated situations where the impact assessment information is unknown. In this study, we developed a calculation table and formula for predicting the range of damage for chlorine and hydrogen fluoride, which have a high domestic usage, high risk of accidents, and high accident frequency in the last 7 years. The calculation table is based on the leakage rate, wind speed, and temperature, and the calculation formula was derived using R software for special situations where it is difficult to apply the calculation table. The calculation table and formula could be used on site by related organizations to obtain important information for decision making, which could help in minimizing damage from chemical accidents, setting separation distances, and deciding to evacuate residents.

• Journal of the Ergonomics Society of Korea
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• v.32 no.1
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• pp.139-144
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• 2013

Objective: The current study investigated a non-obtrusive measure for detecting physical fatigue based on the analysis of formant frequencies of human voice. Background: Fatigue has been considered as a main cause in industrial and traffic accidents. Therefore, it is critical to detect worker's fatigue for accident prevention. Method: After running exercises on a treadmill, participants were instructed to read a sentence and their voices were recorded under four different physical fatigue levels. Korean vowels of "아", "어", "오", "우", and "이" from the voice recorded were then used to collect formant 1 frequencies. Results: Results of separate ANOVAs showed a significant main effect of physical fatigue on formant 1 frequency of "아", "어", and "이". Furthermore, post-hoc comparisons revealed that formant 1 frequency of "아" was most sensitive to physical fatigue level employed in this experiment. Conclusion: Formant 1 frequencies of some vowels significantly decrease as the physical fatigue level increases. Application: Potential application of this study includes the development of a measure of physical fatigue state that is free from sensor attachment and requires little preparation.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.103-112
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• 2012

The construction industry in Korea after the Korean-war has evolved until these days. But the construction industry accident severity rate and frequency is over then the All industry rate. This study analyzed the 'Disaster Statistical Yearbook' of the Korea Occupational Safety and Health Agency, based on the factors that affect construction accidents that is selected and fined the some factors the construction Disaster Prevention Factors. This study will develop the methodology for analyzes that the national qualification is effected to the construction industrial machine disaster prevention status. It suggest two ways to the establishment of disaster trends. First way is the disaster quantitative analysis and second way is comparing the statistical data and the analysis of expert opinion.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.83-91
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• 2008

In this study, actual status of safety management for the objects of 173 university, government research institution, and corporate affiliated research center was carried out through questionnaires. For unexpected accident status according to kinds, scale, and types of laboratories, frequency analysis using cross analysis and multiple replies analysis was used. The result of this study is judged to be used for laboratory safety education prevention programs, laboratory environment improvement, investment or improvement of laboratories through the actual safety management status of laboratories such as vulnerable works for generation of unexpected sudden accidents according to kind, scale, and type of laboratories, period of occurrence, prevention education, necessity for preliminary test, and cause of laboratory accidents.