• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1083-1089
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• 2015

Background: Compliance with California's smoke-free restaurant and bar policies may be more a function of social contingencies and less a function of legal contingencies. The aims of this study were: 1) to report indications of compliance with smoke-free legislation in Korean bars and restaurants in California; 2) to examine the demographic, smoking status, and acculturation factors of who smoked indoors; and 3) to report social cues in opposition to smoking among a sample of Koreans in California. Materials and Methods: Data were collected by telephone surveys administered by bilingual interviewers between 2007-2009, and included California adults of Korean descent who visited a Korean bar or restaurant in a typical month (N=2,173, 55% female). Results: 1% of restaurant-going participants smoked inside while 7% observed someone else smoke inside a Korean restaurant. Some 23% of bar-going participants smoked inside and 65% observed someone else smoke inside a Korean bar. Presence of ashtrays was related to indoor smoking in bars and restaurants. Among participants who observed smoking, a higher percentage observed someone ask a smoker to stop (17.6%) or gesture to a smoker (27.0%) inside Korean restaurants (N=169) than inside Korean bars (n=141, 17.0% observed verbal cue and 22.7% observed gesture). Participants who smoked inside were significantly younger and more acculturated than participants who did not. Less acculturated participants were significantly more to likely to be told to stop smoking. Conclusions: Ten years after implementation of ordinances, smoking appears to be common in Korean bars in California.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1596-1603
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• 2018

Rapidly detecting and warning of fires is necessary for minimizing human injury and property damage. Generally, when fires occur, both the smoke and the flames are generated, so fire detection systems need to detect both the smoke and the flames. However, most fire detection systems only detect flames or smoke and have the disadvantage of slower processing speed due to additional preprocessing task. In this paper, we implemented a fire detection system which predicts the flames and the smoke at the same time by constructing a CNN model that supports multi-labeled classification. Also, the system can monitor the fire status in real time by using Grad-CAM which visualizes the position of classes based on the characteristics of CNN. Also, we tested our proposed system with 13 fire videos and got an average accuracy of 98.73% and 95.77% respectively for the flames and the smoke.

• Korean Journal of Adult Nursing
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• v.24 no.5
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• pp.441-453
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• 2012

Purpose: This secondary data analysis study was aimed at identifying the factors related to the patterns of alcohol use (normal alcohol use, hazardous alcohol use, and alcohol dependence) in the Korean adult. Methods: This study analyzed the cross-sectional data from 230,715 Korean adults aged 19 year and older who participated in the 2009 Korean Community Health Survey. Multinomial logistic regression was used to uncover associations between demographic, health related factors and the patterns of alcohol use. Results: The patterns of alcohol use was differentiated from the sociodemographic variables (residential area, gender, age, marital status, educational level, monthly income, and occupation) and with health related factors (smoking status, hours of sleep, body mass index, pain or discomfort, subjective health, stress level, liver disease, cardio/cerebro vascular disease, and depression). Hazardous alcohol use was lower in rural areas and lower among women, but higher among people who smoke, reported severe stress, and/or depression. Similarly, alcohol dependence was lower among women and among those in rural areas, and was more likely associated with those who smoke, have severe stress and depression. Conclusion: A number of factors are associated with patterns of drinking. Smoking, severe stress and depression seems to confound the problems of alcohol use. Additional research is needed to isolate those factors that are the most important influencing the use of alcohol.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.4
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• pp.347-365
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• 2020

In order to resolve traffic problems in urban areas and to increase the area of green spaces, tunnels in downtown areas are being increased. Additionally, the application of large port smoke extraction ventilation systems is increasing as a countermeasure to smoke extraction ventilation for tunnels with high potential for traffic congestion. It is known that the smoke extraction performance of the large port smoke extraction system is influenced not only by the amount of the extraction flow rate, but also by various factors such as the shape of the extraction port (damper) and the extraction air velocity through a damper. Therefore, in this study, the design standards and installation status of each country were investigated. When the extraction air flow rate was the same, the smoke extraction performance according to the size of the damper was numerically simulated in terms of smoke propagation distance, compared and evaluated, and the following results were obtained. As the cross-sectional area of the smoke damper increases, the extraction flow rate is concentrated in the damper close to the extraction fan, and the smoke extraction rate of the damper in downstream decreases, thereby increasing the smoke propagation distance on the downstream side. In order to prevent such a phenomenon, it is necessary to reduce the cross-sectional area of the smoke damper and increase the velocity of passing air through the damper so that the pressure loss passing through the damper increases, thereby reducing the non-uniformity of smoke extraction flow rate in the extraction section. In this analysis, it was found that when the interval distance of the extraction damper was 50 m, the air velocity passing through damper was 4.4 m/s or more, and when the interval distance of the extraction dampers was 100 m, the air velocity passing through damper was greater than 4.84 m/s, it was found to be advantageous to ensure smoke extraction performance.

• Tuberculosis and Respiratory Diseases
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• v.73 no.4
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• pp.210-218
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• 2012

Background: The level of urine cotinine is an indicator of tobacco smoke exposure. The purpose of this study is to investigate urine cotinine for the purpose of assessing the smoking status of Korean smokers and non-smokers exposed to tobacco smoke. Methods: The subjects were identified from the 2007-2009 and the 2010 data sets of the Korea National Health and Nutrition Examination Survey (KNHANES). They were assigned as non-smokers, current smokers and ex-smokers. Non-smokers were also divided into three subset groups according to the duration of smoke exposure. Each group was stratified by gender prior to analysis. Results: The median value of urine cotinine in the male current smokers was 1,221.93 ng/mL which was the highest among all groups. The difference between levels of urine cotinine for male and the female groups was statistically significant (p<0.01). In the female group, passive smoke exposure groups reported higher urine cotinine levels than non-exposure groups (p=0.01). The cutoff point for the discrimination of current smokers from non-smokers was 95.6 ng/mL in males and 96.8 ng/mL in females. The sensitivity and specificity were 95.2% and 97.1%, respectively, in males, 96.1% and 96.5% in females. However, the determination of urine cotinine level was not useful in distinguishing between passive smoke exposure groups and non-exposure groups. Conclusion: Urine cotinine concentration is a useful biomarker for discriminating non-smokers from current smokers. However, careful interpretation is necessary for assessing passive smoke exposure by urine cotinine concentration.

• Journal of Sericultural and Entomological Science
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• v.18 no.1
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• pp.17-19
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• 1976

These surveys were carried out to investigate of damage of agricultural chemicals, tabacco, and factory smoke on silkworm rearing Autumn in 1975 1. Damaging rate in chemicals, tabacco and factory smoke was 1.4, 0.6 and 0.1 percent each other. 2. In damage by agricultural chemicals, it appeared to be chemicals for rice (49.4%) orchard (21.2%) and vegetable (12.3%) in order. 3. Status of damaging rate in tabacco showed 60 and 18 percent in tabacco field and tobacco drying place near mulberry field. and showed 14 and 8 percent in rabacco drying place and tabacco field near rearing house. 4. The damage of factory smoke is largely stone powder of cement.

• Journal of Preventive Medicine and Public Health
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• v.54 no.2
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• pp.137-144
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• 2021

Objectives: The aim of this study was to identify factors associated with quitting smoking in Indonesia Methods: Data on 11 115 individuals from the fifth wave of the Indonesia Family Life Survey were analyzed. Quitting smoking was the main outcome, defined as smoking status based on the answer to the question "do you still habitually (smoke cigarettes/smoke a pipe/use chewing tobacco) or have you totally quit?" Logistic regression was performed to identify factors associated with successful attempts to quit smoking. Results: The prevalence of quitting smoking was 12.3%. The odds of successfully quitting smoking were higher among smokers who were female (adjusted odds ratio [aOR], 2.69; 95% confidence interval [CI], 2.08 to 3.33), were divorced (aOR, 2.45; 95% CI, 1.82 to 3.29), did not chew tobacco (aOR, 3.01; 95% CI, 1.79 to 5.08), found it difficult to sacrifice smoking at other times than in the morning (aOR, 1.29; 95% CI, 1.14 to 1.46), and not smoke when sick (aOR, 1.32; 95% CI, 1.14 to 1.54). About 59% of variance in successful attempts to quit smoking could be explained using a model consisting of those variables. Conclusions: Female sex, being divorced, not chewing tobacco, and nicotine dependence increased the odds of quitting smoking and were associated with quitting smoking successfully. Regular and integrated attempts to quit smoking based on individuals' internal characteristics, tobacco use activity, and smoking behavior are needed to quit smoking.

• Journal of Environmental Health Sciences
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• v.28 no.3
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• pp.26-33
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• 2002

Adolescents exposed chronically to tobaccotobacco smoke have been found to have reduced pulmonary function as well as an increased risk of lung cancer and a serious heart disease. Consequently, reducing exposure to tobacco smoke is an important public health goal. This study was conducted to develope the exact evaluation method of student smoker or heavy exposure from ETS, and the change on smoking behavior and attitude after a stop-smoking program. From the study, we concluded that the cotinine concentrations in saliva from students indicate exactly whether they are smoker or not. Also, it was found that the more and exact informations from both the cotinine analysis and the questionnaire were obtained than from only the questionnaires. The non-smokers had more positive effects on the changes of cog-nitions, behaviors and attitude about passive-smoking after a stop-smoking program than the smokers. The results of this study show that through both the accurate determination of cotinine in saliva and the questionnaires, the smoking status and the tobacco education effectiveness can be predicted.

• The Journal of Korean Society for School & Community Health Education
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• v.23 no.2
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• pp.65-76
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• 2022

Objectives: The purpose of this study is to investigate the factors that affect the smoking type among those who have used regular cigarettes, liquid or cigarette-type e-cigarettes. Methods: The subjects of analysis were 6,081 people who had smoked regular cigarettes or e-cigarettes. For data analysis, SPSS ver.25.0 statistical package program was used. Multinomial logistic regression analysis was performed to find out the factors affecting smoking type. Results: Factors affecting the experience of using e-cigarettes compared to regular cigarette smoking are gender and class. Academic performance, living with family members, drinking experience, and secondhand smoke in school. The factors influencing dual use compared to regular cigarette smoking were gender, class, academic performance, economic status, living with family, drinking experience, and experience of secondhand smoke in school. Smoking cessation attempts had an effect on dual use compared to regular cigarette smoking. Conclusion: Smoking cessation experience had a greater effect on e-cigarette use than regular cigarette smoking.

• Journal of Korean Public Health Nursing
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• v.14 no.2
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• pp.281-292
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• 2000

This study was conducted from Nov. 15 to Dec. 20. 1999, covering 3.214 fourth. fifth, and sixth graders in 25 schools. one from each Ku in Seoul. in order to provide basic data for developing smoking prevention program. The results of the study were as follows : 1. Among the students under inquiry. $10.2\%$ answered they had the experience of smoking, while $6.3\%$ said they are current smokers. 2. With regard to smokers' smoking behavior. about 90% of them smoke one or two cigarettes a day. A lot of them was their own or friends' homes to smoke. but not at specific time. Many students who smoke say they was cigarettes stored and/or picked up at home. $28.9\%$ of them have friends who know that they smoke and $27.7\%$ of them have siblings are aware they are smokers. $24.2\%$ of them said no one around them is aware of the fact they. smoke. 3. Forth grade is the most frequent year students start smoking$(23.5\%)$. Most of them had their first smoking experience at their homes out of curiosity. 4. Profile of a typical smoker would; be male; from miscellaneous religions; have very few friends: have hard time to fit in at school and he/she has a poor academic record. 5. Environmental profile of a smoker consists of: commercial area resident: single-parented; lacks attention from parents; has hard time at home; has someone who smokes within the family. 6. Regarding the experience of smoking prevention education. the rate of current smokers who have learned about smoking prevention was lower than that of who have not learned. 7. Among the non-smoking students. $81.3\%$ of them said they would keep away from smoking and $1.6\%$ of them said they would like to smoke in the future. while $17.1\%$ were undecided. Among the students who smoke. $93.7\%$ wish to quit smoking.