• Fire Science and Engineering
• /
• v.23 no.4
• /
• pp.112-119
• /
• 2009

Building use classification is classified the building types according to the similar structure, the goal of the use, and its shape. The important reason of building use classification is that building restrictions are applied according to building use classifications. But there are a lot of confusion because the building use classification is regulated not only by the Building Act but also by the several individual Act. Particularly in the large-scaled, high-raised and complex building construction, it is very important to remain the consistency of the building use classification between the Building Act and the Fire-Fighting System Act for safety of occupants. So the purpose of this study is to suggests the improve direction of the building use classifications through the comparative analysis of the Building Act and the Fire-Fighting System Act.

• Journal of the Society of Disaster Information
• /
• v.15 no.4
• /
• pp.531-539
• /
• 2019

Purpose: The purpose of this study is to present the commodity classification method of domestic rack-type warehouse for sprinkler system design. Method: On-site surveys and classification criteria of the NFPA, FMDS, EN and Japan were analysed and ISO 12949 test were carried out with proposed each classification commodity. Result: Based on a heat of combustion, a classification method for extra high, high, medium and low are proposed. Conclusion: Sprinkler design criteria to secure the maximum extinguishing strength for each class of commodity need to be applied.

• Journal of the Korean Society of Safety
• /
• v.29 no.6
• /
• pp.68-75
• /
• 2014

It is very important to classify explosion hazardous area (EHA) suitably and to use proper explosion-proof electric installations for facilities using flammable gases and liquids. In the past, various examples in the Notification of Ministry of Employment and Labor were referred to in classifying EHA. But, at present, many companies use the hypothetical volume in Korean Standards (KS). This study reviews the validity of EHA classification based on the hypothetical volume by comparing the calculated radii of EHA with those obtained by a consequence analysis program called PHAST and a mathematical approach in British Standards (BS). The radii of EHA by the hypothetical volume were found to be slightly larger than those by the other two methods. This was attributed to rather conservative uses of a safety factor(k) and a correction factor(f) for availability of ventilation in calculating the hypothetical volume. Since the differences are not so conspicuous, however, it is concluded that the hypothetical volume in KS is a valid means for the classification of EHA. This study also presents a table of the radii of EHA for easy reference by small-scale companies using city gas, C3-LPG and flammable liquid(toluene), respectively. The table consists of 25 leakage scenarios corresponding to combinations of 5 pipe(nozzle) sizes and 5 operating conditions for each flammable gas and liquid.

• Journal of Sensor Science and Technology
• /
• v.29 no.5
• /
• pp.348-353
• /
• 2020

This paper presents an adaptive method to avoid obstacles in various environmental settings, using a two-dimensional (2D) LiDAR sensor for mobile robots. While the conventional reaction based smooth nearness diagram (SND) algorithms use a fixed safety distance criterion, the proposed algorithm autonomously changes the safety criterion considering the obstacle density around a robot. The fixed safety criterion for the whole SND obstacle avoidance process can induce inefficient motion controls in terms of the travel distance and action smoothness. We applied a multinomial logistic regression algorithm, softmax regression, to classify 2D LiDAR point clouds into seven obstacle structure classes. The trained model was used to recognize a current obstacle density situation using newly obtained 2D LiDAR data. Through the classification, the robot adaptively modifies the safety distance criterion according to the change in its environment. We experimentally verified that the motion controls generated by the proposed adaptive algorithm were smoother and more efficient compared to those of the conventional SND algorithms.

• Journal of the Korean Society of Safety
• /
• v.15 no.2
• /
• pp.1-7
• /
• 2000

This paper presents the approach involving fault detection and diagnosis of gears using pattern recognition and Wavelet transform. It describes result of the comparison between KDI (Kullback Discrimination Information) with the nearest neighbor classification rule as one of pattern recognition methods and Wavelet transform to know a way to detect and diagnosis of gear damages experimentally. To model the damages 1) Normal (no defect), 2) one tooth is worn out, 3) All teeth faces are worn out 4) One tooth is broken. The vibration sensor was attached on the bearing housing. This produced the total time history data that is 20 pieces of each condition. We chose the standard data and measure distance between standard and tested data. In Wavelet transform analysis method, the time series data of magnitude in specified frequency (rotary and mesh frequency) were earned. As a result, the monitoring system using Wavelet transform method and KDI with nearest neighbor classification rule successfully detected and classified the damages from the experimental data.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.5
• /
• pp.409-415
• /
• 2016

Recently several techniques for disaster prevention based on IoT(Internet of Things) are being developed. In this paper, a new smart pattern classification method for electric loads is proposed. CT(Current Transformer) data are extracted from electric loads, and then the sampled CT data are converted using FFT and MFCC. FFT and FMCC data are used for the input data of neural networks. Experiments were conducted using FFT and MFCC data for 7 kinds of electric loads. Experiments results indicate the superiority of MFCC in comparison to FFT.

• Journal of the Korean Society of Safety
• /
• v.33 no.4
• /
• pp.21-29
• /
• 2018

In many companies handling flammable liquids, explosion-proof electrical equipment have been installed according to the Korean Industrial Standards (KS C IEC 60079-10-1). In these standards, hazardous area for explosive gas atmospheres has to be classified by the evaluation of the evaporation rate of flammable liquid leakage. The evaporation rate is an important factor to determine the zones classification and hazardous area distance. However, there is no systematic method or rule for the estimation of evaporation rate in these standards and the first principle equations of a evaporation rate are very difficult. Thus, it is really hard for industrial workplaces to employ these equations. Thus, this problem can trigger inaccurate results for evaluating evaporation range. In this study, empirical models for estimating an evaporation rate of flammable liquid have been developed to tackle this problem. Throughout the sensitivity analysis of the first principle equations, it can be found that main factors for the evaporation rate are wind speed and temperature and empirical models have to be nonlinear. Polynomial regression is employed to build empirical models. Methanol, benzene, para-xylene and toluene are selected as case studies to verify the accuracy of empirical models.

• International conference on construction engineering and project management
• /
• 2017.10a
• /
• pp.80-88
• /
• 2017

Although hazard identification is one of the most important steps of safety management process, numerous hazards remain unidentified in the construction workplace due to the dynamic environment of the construction site and the lack of available resource for visual inspection. To this end, our previous study proposed the collective sensing approach for safety hazard identification and showed the feasibility of identifying hazards by capturing collective abnormalities in workers' walking patterns. However, workers generally performed different activities during the construction task in the workplace. Thereby, an additional process that can identify the worker's walking activity is necessary to utilize the proposed hazard identification approach in real world settings. In this context, this study investigated the feasibility of identifying walking activities during construction task using Wearable Inertial Measurement Units (WIMU) attached to the worker's ankle. This study simulated the indoor masonry work for data collection and investigated the classification performance with three different machine learning algorithms (i.e., Decision Tree, Neural Network, and Support Vector Machine). The analysis results showed the feasibility of identifying worker's activities including walking activity using an ankle-attached WIMU. Moreover, the finding of this study will help to enhance the performance of activity recognition and hazard identification in construction.

• Safety and Health at Work
• /
• v.6 no.3
• /
• pp.184-191
• /
• 2015

Chemical mutagenicity is a major hazard that is important to workers' health. Despite the use of large amounts of allyl chloride, the available mutagenicity data for this chemical remains controversial. To clarify the mutagenicity of allyl chloride and because a micronucleus (MN) test had not yet been conducted, we screened for MN induction by using male ICR mice bone marrow cells. The test results indicated that this chemical is not mutagenic under the test conditions. In this paper, the regulatory test battery and several assay combinations used to determine the genotoxic potential of chemicals in the workplace have been described. Further application of these assays may prove useful in future development strategies of hazard evaluations of industrial chemicals. This study also should help to improve the testing of this chemical by commonly used mutagenicity testing methods and investigations on the underlying mechanisms and could be applicable for workers' health.

• The Korean Journal of Pesticide Science
• /
• v.20 no.4
• /
• pp.326-340
• /
• 2016

GHS was compared with that of current RDA directives in skin and eye irritation for plant protection products (PPPs). According to the result of evaluation and classification of skin and eye irritation by RDA directives and GHS for 59 PPPs, 25.5% of PPPs were changed the classification of skin irritation from slightly and moderately by RDA directives to Not Classified by GHS, and 45.8% of PPPs were changed the classification of eye irritation from slightly by RDA directives to Not Classified by GHS. 6.8% of PPPs in skin irritation and 5.1% in eye irritation were classified more highly as category 1 by GHS because of irreversible effect. According to the result of comparison with GHS classification by data of irritation study for PPPs and by GHS classification and concentration of active substances, 25.5% was changed more lowly and 3.4% more highly in skin irritation, and 25.4% was changed more lowly and 11.9% more highly in eye irritation. It is needed to draw a plan to supplement for other results between GHS and RDA directives.