• Journal of dental hygiene science
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• v.17 no.6
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• pp.487-494
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• 2017

There is little evidence on the effects of environmental tobacco smoke (ETS) on prevalence of periodontal disease. The aims of this study were to explore the trends of prevalence of periodontal disease and types of exposure to smoke, including ETS according to the survey year, identify factors affecting periodontal disease, and compare the effect size of periodontal disease between active smokers and secondhand smokers. Data on 11,643 individuals were obtained from the fourth and fifth Korean National Health and Nutritional Examination Surveys. Information on exposure to ETS at home and work was self-reported. Severity of periodontal disease was evaluated using the community periodontal index. A multivariate logistic regression analysis was performed to model periodontal disease using types of smoking and the survey year. Overall, the prevalence of periodontal disease was 26.0% (n=3,029) and about 9% of the study population were secondhand smokers. The prevalence of periodontal disease among smokers was significantly increased according to smoking types by year. Active smokers showed a statistically significant adjusted odds ratio (aOR) for having periodontal disease except in the year 2007, whereas secondhand smokers had significant associations only in 2010 (aOR, 1.68; 95% confidence interval, 1.05 to 2.70) compared to non-smokers. For secondhand smokers, the statistical relationship of predicting periodontal disease was weaker than that of active smokers. However, ETS should separately be considered as an important risk factor for periodontal disease. This study suggested the need for further investigation of the impact of ETS on prevalence of periodontal disease using in-depth research designs and objective measurements for assessing periodontal disease and ETS.

• Tunnel and Underground Space
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• v.9 no.4
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• pp.306-314
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• 1999

In underground spaces including nuclear waste repository, prediction of air quantity, temperature/humidity and pollutant concentration is utmost important for space construction and management during the normal state as well as for determining the measures in emergency cases such as underground fires. This study aims at developing a model for underground space environment which has capabilities to take into account the effects of autocompression for the natural ventilation head calculation, to find the optimal location and size of fans and regulators, to predict the temperature and humidity by calculating the convective heat transfer coefficient and the sensible and latent heat transfer rates, and to estimate the pollutant levels throughout the network. The temperature/humidity prediction model was applied to a military storage underground space and the relative differences of dry and wet temperatures were 1.5 ~ 2.9% and 0.6 ~ 6.1%, respectively. The convection-based pollutant transport model was applied to two different vehicle tunnels. Coefficients of turbulent diffusion due to the atmospheric turbulence were found to be 9.78 and 17.35$m^2$/s, but measurements of smoke and CO concentrations in a tunnel with high traffic density and under operation of ventilation equipment showed relative differences of 5.88 and 6.62% compared with estimates from the convection-based model. These findings indicate convection is the governing mechanism for pollutant diffusion in most of the tunnel-type spaces.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.6
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• pp.111-120
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• 2021

When a fire occurs in a commercial building, the evacuation route is complicated and the direction of smoke and flame is similar to that of the egress route of occupants, resulting in many casualties. Performance-based evacuation design for buildings is essential to minimize human casualties. In order to apply the performance-based evacuation design to buildings, it requires a complex fire simulation for each building, demanding a large amount of time and manpower. In order to supplement this, it would be very useful to develop an Available Safe Egress Time (ASET) prediction model that can rationally derive the ASET without performing a fire simulation. In this study, the correlations between fire temperature with visibility and toxic gas concentration were investigated through a fire simulation on a commercial building, from which databases for the training of artificial neural networks (ANN) were created. Based on this, an ANN model that can predict the available safe egress time was developed. In order to examine whether the proposed ANN model can be applied to other commercial buildings, it was applied to another commercial building, and the proposed model was found to estimate the available safe egress time of the commercial building very accurately.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4653-4659
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• 2012

This study was performed to investigate the factors related failure in continuity of smoking cessation among persons who were initially successful in quitting smoking for at least 6 months in smoking cessation clinic of public health center. Data were collected with the telephone questionnaire survey and the registered cards from 347 of 6 months quitters from 2006 to 2008 year. Data were analyzed by life table method and Cox-proportional hazard model. In Cox-proportional hazard model, Eup Myeon of residence(HR 2.50, 95% CI 1.69-3.68), without chronic diseases(HR 1.92, 95% CI 1.21-3.04), without another smoker in household(HR 1.93, 95% CI 1.21-3.09) and usage of supplement agent(HR 2.17, 95% CI 1.01-4.68) were independently associated with the failure in continuing to stay smoke-free. The cumulative rate of failure in the continuity of smoking cessation was 28.6% at 6 month and 36.1% at 24 month. For operating a clinic program for smoking cessation, Public health center should makes strategies that a person is continuing smoking cessation for over 6 months after the first 6 momth's smoking cessation.

• Fire Science and Engineering
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• v.33 no.4
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• pp.41-49
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• 2019

In the present experimental study, based on a real-scale theater, a 1/14 reduced-scale model was constructed, and the effects of natural vent and fire curtain in fire of a theater stage were investigated. The case without fire curtain under the opened natural vent showed lower temperatures in the stage, whereas the case with fire curtain under the opened natural vent showed lower temperatures in the auditorium. On the other hand, through analyzing the starting time of the temperature rise at the point near the proscenium opening in the auditorium, it was found that the opened natural vent condition can delay the starting time of smoke spread from the stage to the auditorium and suppress the temperature rise in the auditorium. Under the present experimental conditions, the fire curtain installation did not affect significantly the velocity and mass flow rate of the outflow through the natural vent of the stage, which might be due to openings in the stage. The present results can be used to examine the effects of natural vent and fire curtain in a real-scale fire of a theater and to check the accuracy of the numerical simulation code.

• 재활복지
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• v.21 no.3
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• pp.129-146
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• 2017

In an event of an emergency, such as fire in a building, visually impaired and blind people are prone to exposed to a level of danger that is greater than that of normal people, for they cannot be aware of it quickly. Current fire detection methods such as smoke detector is very slow and unreliable because it usually uses chemical sensor based technology to detect fire particles. But by using vision sensor instead, fire can be proven to be detected much faster as we show in our experiments. Previous studies have applied various image processing and machine learning techniques to detect fire, but they usually don't work very well because these techniques require hand-crafted features that do not generalize well to various scenarios. But with the help of recent advancement in the field of deep learning, this research can be conducted to help solve this problem by using deep learning-based object detector that can detect fire using images from security camera. Deep learning based approach can learn features automatically so they can usually generalize well to various scenes. In order to ensure maximum capacity, we applied the latest technologies in the field of computer vision such as YOLO detector in order to solve this task. Considering the trade-off between recall vs. complexity, we introduced two convolutional neural networks with slightly different model's complexity to detect fire at different recall rate. Both models can detect fire at 99% average precision, but one model has 76% recall at 30 FPS while another has 61% recall at 50 FPS. We also compare our model memory consumption with each other and show our models robustness by testing on various real-world scenarios.

• The Journal of Internal Korean Medicine
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• v.36 no.3
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• pp.361-379
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• 2015

Objectives This study aims to review and summarize existing evidence on moxibustion treatment for cancer patients. Methods Literature published until May 2015 in international journals were searched on PubMed, CAJ (CNKI-Medicine), NDSL (National discovery for science leaders), Sage Journal, ScienceDirect, Taylor&Francis Online (HSS), and Wiley Interscience (including Blackwell); and articles in Korean journals were searched on Korean Studies Information Service System (KISS), DBPIA, E-Article, KSI e-book, New article, Korea Institute of Science and Technology Information (KISTI), and Kyobo scholar. Results We analyzed 65 relevant studies. The number of studies conducted annually has increased and most are conducted in Korea and China. Moxibustion decreases the side effects of palliative treatment, thereby synergizing with anticancer treatment; it also improves the immune system, reduces tumor factors, and relieves symptoms. The mechanism of moxibustion is multi-fold: thermo, chemo, aero and kinetic. Only the kinetic effect is not significant. It also needs a complement to moxibustion because of harmful smoke. Conclusions Thus, the effect and mechanism of moxibustion in cancer patients was reviewed. There is an unmet need to develop a model of moxibustion and test it based on Korean medicine.

• Journal of Preventive Medicine and Public Health
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• v.34 no.3
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• pp.183-190
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• 2001

Objective : To estimate the annual economic costs attributable to cigarette smoking in Korea. Methods : The costs were classified as being direct medical and non-medical costs, indirect costs and others. We focused on those costs related that are incurred in the treatment of selected diseases (cardiovascular diseases, respiratory diseases, and cancers), which have been proven to be caused by smoking. In addition to the basic costs of treatment, the additional amount of costs occurred due to smoking was obtained by computing the population attributable risk (PAR%) caused by smoking. To compute the PAR%, relative risks of smoking to the number of outpatient visits, hospitalizations, and the death were estimated using the Cox proportional hazard model, respectively. Our major data source was the 'Korea Medical Insurance Corporation (KMIC) cohort study,' which was composed of a total of 115,682 male and 67,932 female beneficiaries who had complete records of their smoking histories in the year of 1992. Results : The annual costs that could be attributable to smoking were estimated to be in the range of 2,847,500 million Won to 3,959,100 million Won. The maximum estimate of 3,959,100 million Won includes 233,100 million Won for medical costs, 5,100 million Won for transportation costs, 27,600 million Won for care giver's economic costs, 69,100 million Won in productivity loss, 3,435,000 million Won lost because of premature death, 172,100 million Won in costs resulting from passive smoke inhalation and 17,100 million Won for costs that resulted from fires that were caused by careless smoking. Conclusion : Our study confirms that the magnitude of the economic burden of smoking to Korean society is substantial. Therefore, this study provides strong evidence that there is a strong need for a national policy of tobacco control in Korea.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.189-189
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• 2011

최근 공동주택은 보편적인 도시주거 유형으로 자리매김 하고 있지만, 성장 위주의 경제 산업 정책에 따른 안전의식미약, 사회구조개편에 따른 급격한 증가, 생활환경 변화와 에너지 사용 증가 등 화재 유발인자의 다양화로 인해 인적 물적 피해가 증가하고 있는 실정이다. 특히 다른 건물들과는 달리 공동주택의 거주자가 유아, 노인, 신체장애자 등 다양한 인적 구성의 형태로 이루어져 있어서 화재 발생 건수에 비해 인명피해가 월등히 높은 편이다. 공동주택에서의 화재에 대한 위험성을 인식하고, 그에 대한 인적 물적 피해를 최소화하기 위한 대책 마련이 시급하다. 본 논문은 CFAST(Consolidated Model of Fire Growth and Smoke Transport)를 사용하여 공동주택을 대상으로 실물 화재 실험을 실시하고 공간화재에서의 화재 성상을 파악하여 화재 시 개구부의 개폐 여부에 따라 발생되는 산소와 이산화탄소의 농도와 온도가 인체에 미치는 영향에 대해 알아본다. 개구부를 개방 했을 경우에 외부창문의 개폐 여부에 상관없이 모든 방의 온도 분포가 뚜렷하게 나타났지만 개구부를 폐쇄 할 경우에는 발화지점인 거실의 온도 분포만 나타났다. Flashover현상과 Back Draft현상은 개구부의 개폐여부에 상관없이 외부 창문을 폐쇄 했을 경우에 나타났지만 특히 모든 개구부와 외부창문을 폐쇄 했을 경우에 더욱 뚜렷하게 나타났다. 각 실은 점화 후 4분경에 최고 온도를 보였으며 다른 방에 비해 발화지점인 거실의 온도가 가장 높게 나타났다. 온도에 의해서는 두 가지 영향이 일어날 수 있는데, 하나는 비교적 장시간에 걸쳐 발생하는 열응력이고, 다른 하나는 짧은 시간에 발생할 수 있는 화상이다. 만약 피부온도가 $45^{\circ}C$에 이르면 인체는 고통을 느끼게 되며, 이보다 더 높은 온도에서는 깊은 피부조직까지 손상을 줄 수 있다. 움직이지 않는 사람에 대한 고통 유발 임계온도는 약 $200^{\circ}C$이며, 인체는 땀의 발산으로 온도에 대한 내성이 증가하지만 이체가 장시간 열을 받으면 사망에 이를 수 있다. 결론적으로 공동 주택을 대상으로 CFAST를 이용해 분석한 결과 플래쉬오버 현상으로 인해 화재가 성장하여 급격히 온도가 상승하다가, 산소 부족으로 인해 화재가 성장하지 않고 온도가 떨어지는 것을 알 수 있다. 화재 시 온도, 산소, 이산화탄소를 고려하였을 때 약 3분 이내에 대피해야 온도 및 가스로 인한 피해를 줄일 수 있을 것으로 판단된다.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.1
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• pp.38-55
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• 2013

This study has been performed to select several indicators of long-range transport process that can be applied to the Northeast Asia. We first classified high air pollution days into long-range transport (LRT) dominant cases and the local emission dominant (LED) cases based on the synoptic meteorological variables including vorticity and geostrophic wind speed/direction at a geopotential level of 850 hPa. LRT cases were further categorized into two types: LRT-I type with air mass pathways from northern China and/or Mongolia, and LRT-II type from central and southern China. In each categorized case, we examined the difference of both measured aerosol optical properties of AERONET at two sites in western Korea, and the simulated characteristics of LRT process by MM5-CMAQ model. We contrasted LRT case with LED case, and then generated the LRT indicators applicable to Northeast Asia. The results showed that fine and coarse modes of LRT-II were relatively smaller than LED and LRT-I cases, respectively. Aerosol size distribution showed significantly higher concentration of fine-mode particle (mainly smoke or urban aerosols) in LED case in comparison with that of LRT groups (LRT-I, II), suggesting the amplitudes fine modes of LRT relative to LED as a possible LRT indicator. From the results of MM5-CMAQ modeling, we concluded that the conversion ratios for sulfur ($F_s$) were the most effective indicators of LRT cases, and the ratio of VOC to NOx and NOx to CO were found to be the second most effective indicators of LED case.