• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.785-795
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• 2014

The purpose of this study was to develop and validate of Smoker Image Scale and to evaluate the effect of the smoker image on adulthood smoking intention of youth. Data were collected from 610 high school students were analysed using SPSS 21.0 and AMOS 21.0 programs. Smoker Image Scale were developed and verified the reliability and validity. In addition, ordinal logistic regression analysis was implemented for impact of smoker image on adulthood smoking intention. As a results of analysis, first, the developed Smoker Image Scale confirmed with 10 items in 1 factor and Cronbach's ${\alpha}$ was .91. Second, men and smokers had significantly higher positive smoker image formed by cigarette advertising. Third, positive smoker image had a significant positive effect on adulthood smoking intention while controlling of gender and smoking status. Positive smoker image formed by cigarette advertising was associated with adulthood smoking intention of youth. Based on these findings, implications and suggestions for future research were discussed for the risk of adulthood smoking intention of youth.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1120-1131
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• 2016

In this paper, we propose a smoker recognition algorithm, detecting smokers in a video sequence in order to prevent fire accidents. We use description-based method in hierarchical approaches to recognize smoker's activity, the algorithm consists of background subtraction, object detection, event search, event judgement. Background subtraction generates slow-motion and fast-motion foreground image from input image using Gaussian mixture model with two different learning-rate. Then, it extracts object locations in the slow-motion image using chain-rule based contour detection. For each object, face is detected by using Haar-like feature and smoke is detected by reflecting frequency and direction of smoke in fast-motion foreground. Hand movements are detected by motion estimation. The algorithm examines the features in a certain interval and infers that whether the object is a smoker. It robustly can detect a smoker among different objects while achieving real-time performance.

• Journal of Korean Neurosurgical Society
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• v.56 no.5
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• pp.431-435
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• 2014

A fifty-year-old female non-smoker with no other specific medical history visited our institute. She complained of axial back pain with no other neurological deficit. Chest X-ray, chest computed tomography (CT) scan, CT-guided needle aspiration biopsy, whole-body positron emission tomography, spine CT and spine magnetic resonance image findings suggested NSCLC with epidermal growth factor receptor (EGFR) mutation, multiple brain metastases, and two isolated metastases to the T3 and L3 vertebral bodies. She underwent chemotherapy with gefitinib ($Iressa^{TM}$) for NSCLC and gamma knife surgery for multiple brain metastases. We performed a two-staged, total en bloc spondylectomy of the T3 and L3 vertebral bodies based on several good prognostic characteristics, such as the lack of metastases to the appendicular bone, good preoperative performance status, and being an excellent responder (Asian, never-smoker and adenocarcinoma histology) to EGFR inhibitors. Improved axial back pain after the surgery enabled her to walk with the aid of a thoracolumbosacral orthosis brace on the third postoperative day. Her Karnofsky performance status score (KPS) was 90 at the time of discharge and has been maintained to date 3 years after surgery. In selected NSCLC patients with good prognostic characteristics, we suggest that locally curative treatment such as total en bloc spondylectomy or radiosurgery should be emphasized to achieve longer term survival for the selected cases.

• Science of Emotion and Sensibility
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• v.18 no.4
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• pp.99-108
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• 2015

A majority of past studies have tried to investigate cigarette consumption in terms of smoker's cognitive aspects. However, smokers may experience feelings of guilt as a negative emotion while satisfying hedonic and social motive via cigarette consumption. Particularly, feelings of guilt associated with smoking may be induced when smokers' cigarette consumption contradicts their ideal self-concept or social self-concept. The research thus studied smoker's psychological mechanism, focusing on feelings of guilt associated with cigarette consumption. The results indicated that as smokers perceived physical harm associated with their cigarette consumption more than hedonic benefits from the cigarette consumption, they were more likely to experience feelings of guilt related to themselves and others. As smokers perceived social images of smoker as more negative, they were more likely to experience feelings of guilt related to others. Lastly, smokers' experiencing feelings of guilt related to themselves and others had a positive effect on smoking cessation intent. The research findings suggest that the anti-smoking campaign inducing guilt related to smokers' themselves (e.g., raising the price of cigarettes) and others (e.g., anti-smoking ads displaying physical damage of secondhand smoke on family members) can increase smokers' cessation intent.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.107-113
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• 2023

This paper proposes a method for detecting smoking behavior in images using artificial intelligence technology. Since smoking is not a static phenomenon but an action, the object detection technology was combined with the posture estimation technology that can detect the action. A smoker detection learning model was developed to detect smokers in images, and the characteristics of smoking behaviors were applied to posture estimation technology to detect smoking behaviors in images. YOLOv8 was used for object detection, and OpenPose was used for posture estimation. In addition, when smokers and non-smokers are included in the image, a method of separating only people was applied. The proposed method was implemented using Google Colab NVIDEA Tesla T4 GPU in Python, and it was found that the smoking behavior was perfectly detected in the given video as a result of the test.

• Journal of the Korean Society of Food Culture
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• v.23 no.3
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• pp.318-327
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• 2008

This study examined the cultural dietary habits as well as attitudes toward food, within other life pattern elements, of students living in Gwangju City and Chonnam Province, Korea. Questionnaires from 1,000 student respondents were analyzed. The survey consisted of questions regarding physical condition and health status, dietary consciousness, food preference, knowledge of food and nutrition, and dietary culture. The results showed that 1.6% of the students considered their own physical condition to be extremely poor, and 2.7% and 2.1% also considered their father's and mother's physical conditions as extremely poor, respectively. Among the respondents, 18.3% were smokers and consumed an average of 14.8 cigarettes per day. With regard to their dietary habits, the students answered that they preferred to eat meals with friends rather than with family members, fruit was chosen for eating over health food supplements, and there was very little participation or interest in various food and cultural festivals. The female students had a tendency to alleviate mental stresses by eating, while the male students performed more physical activity to deal with stress. The female students also preferred cereal, fruit, fast food, and sweetened foods more than the male students. Between the smokers and non-smokers, significantly more non-smokers chose fruit (p<0.01), ethnic foods (p<0.05), and sweetened foods (p<0.05) as compared to the smokers. Body mass index (BMI) had significant positive correlations with soft drink (p<0.01), health food supplement (p<0.01), and alcoholic beverage (p<0.001) consumption, while BMI was negatively correlated with cereal (p<0.01), fruit (p<0.001), and sweetened food (p<0.01) intake. The health status of students was positively correlated with their father's health status (p<0.01), mother's health status (p<0.001), and BMI (p<0.05), as well as cereal (p<0.001), high protein side dish (p<0.01), fruit (p<0.01), vegetable (p<0.01), and traditional food (p<0.001) intake. The average body weight for female students was approximately 5 kg less than the Korean Nutrition Society's standardized weight, therefore, it is strongly recommended that measures be taken to develop a systematic nutrition education program that would help those students who often unintentionally skip breakfast or go on extreme diets to improve body image.