• Title/Summary/Keyword: Personal exposure

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Phenomenological analysis of the fun experience of G-Golf Tour players (G투어 참여 골프 선수들의 재미경험에 관한 현상학적 분석)

  • Han, Jee-Hoon;Lee, Chul-Won;Seo, Kwang-Bong
    • 한국체육학회지인문사회과학편
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    • v.55 no.4
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    • pp.343-350
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    • 2016
  • The purpose of this study is to phenomenological analyze the fun experience of G-Golf Tour players. A total of 3 male and 3 female professional golfers who are currently participate in G-Golf Tour are selected by snow-ball sampling. Data was collected from interviews and participant observation, With this data, coding was done as first step and group categorization was done as second step in order to achieve the right result from meaningful analyzing. In order to approve the adequate of this study, the peer review was done by one qualitative research specialist and two candidates of Ph.D. The motivation of G-Tour participation, the notification changing of G-Tour, the addiction of G-Tour, the fun factor of G-Tour were drawn as the results, and the media exposure, personal relations, and skill improvement were drawn as the sub-factors of fun experience of G-Tour.

Spam Image Detection Model based on Deep Learning for Improving Spam Filter

  • Seong-Guk Nam;Dong-Gun Lee;Yeong-Seok Seo
    • Journal of Information Processing Systems
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    • v.19 no.3
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    • pp.289-301
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    • 2023
  • Due to the development and dissemination of modern technology, anyone can easily communicate using services such as social network service (SNS) through a personal computer (PC) or smartphone. The development of these technologies has caused many beneficial effects. At the same time, bad effects also occurred, one of which was the spam problem. Spam refers to unwanted or rejected information received by unspecified users. The continuous exposure of such information to service users creates inconvenience in the user's use of the service, and if filtering is not performed correctly, the quality of service deteriorates. Recently, spammers are creating more malicious spam by distorting the image of spam text so that optical character recognition (OCR)-based spam filters cannot easily detect it. Fortunately, the level of transformation of image spam circulated on social media is not serious yet. However, in the mail system, spammers (the person who sends spam) showed various modifications to the spam image for neutralizing OCR, and therefore, the same situation can happen with spam images on social media. Spammers have been shown to interfere with OCR reading through geometric transformations such as image distortion, noise addition, and blurring. Various techniques have been studied to filter image spam, but at the same time, methods of interfering with image spam identification using obfuscated images are also continuously developing. In this paper, we propose a deep learning-based spam image detection model to improve the existing OCR-based spam image detection performance and compensate for vulnerabilities. The proposed model extracts text features and image features from the image using four sub-models. First, the OCR-based text model extracts the text-related features, whether the image contains spam words, and the word embedding vector from the input image. Then, the convolution neural network-based image model extracts image obfuscation and image feature vectors from the input image. The extracted feature is determined whether it is a spam image by the final spam image classifier. As a result of evaluating the F1-score of the proposed model, the performance was about 14 points higher than the OCR-based spam image detection performance.

Cardiovascular-metabolic Diseases Affecting Hearing loss in Workers Exposed to Noise (소음 노출 근로자의 청력손실에 미치는 심혈관-대사성 질환의 영향)

  • KyooSang Kim;Jungmin Sung;Eun-A Kim
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.33 no.3
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    • pp.332-345
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    • 2023
  • Objectives: We examined the association of hearing with cardio-metabolic diseases, dyslipidemia, hypertension and diabetes mellitus according to the personal and occupational characteristics of workers exposed to noise. Methods: The subjects of the study were 237,028 workers who underwent 2, 3, and 4 kHz airway pure tone audiometry in 2015 and who underwent clinical tests to diagnose cardiovascular-metabolic diseases. Cardiovascular-metabolic diseases were defined using reference values for respective items including blood pressure (systolic/diastolic), fasting blood glucose, cholesterol, and triglycerides. The airway pure tone hearing threshold of 2, 3, and 4 kHz, the average threshold of 2-3-4 kHz, and the hearing loss by the average threshold of the primary examination were distinguished. Results: Workers with cardiovascular-metabolic disease had significantly higher average hearing thresholds and higher rates of hearing loss. Logistic regression analysis, which adjusted for demographic variables of gender and age and occupational variables such as workplace size, industry, and type of work, and cardiovascular-metabolic disease as independent variables, showed that the odds ratio of hypertension to hearing loss in the mid-frequency was 1.239 (95% confidence interval: 1.118-1.374). For hypertension was 1.159 (1.107-1.214) and for diabetes it was 1.166 (1.104-1.230) for hearing loss in the high-frequency. Hearing loss measured by mean hearing was 1.178 (1.105-1.256) for hypertension and 1.181 (1.097-1.271) for diabetes. Conclusions: Cardiovascular-metabolic diseases in noise-exposed workers are associated with an increased risk of hearing loss and should be accompanied by bio-monitoring of cardiovascular-metabolic diseases in addition to auditory surveillance.

Occupational Characteristics and Health Status of Vietnamese Male Migrant Workers in the Republic of Korea

  • Ohwi Kwon;Ji-Hun Song;Jeong-Ok Kong;Seong-Won Ma;Young Shin Lee;Joonho Ahn
    • Safety and Health at Work
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    • v.14 no.3
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    • pp.267-271
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    • 2023
  • Background: The objective of this study is to identify the working conditions and health status of Vietnamese male migrant workers in Republic of Korea, in comparison to the Korean general population. Methods: We conducted our survey through the Migrant People Center, and we received completed questionnaires from 87 male Vietnamese migrant workers. The questionnaire employed was identical to those used in the Korean Working Conditions Survey and the 2020 Korea National Health and Nutrition Examination Survey. The collected data from the Vietnamese migrant workers was then compared with the Korean reference population using indirect age-standardization. Results: Vietnamese male workers demonstrated a higher prevalence of health problems including hearing problems (age-standardized prevalence ratio (aSPR) 13.22, 95% confidence interval [CI]: 8.07-20.4), skin problems (aSPR 13.49, 95% CI: 8.07-20.4), and low back pain (aSPR 8.40, 95% CI: 6.50-10.69). Elevated exposure to workplace hazards such as chemicals (aSPR 2.36, 95% CI: 1.51-3.51), organic solvents (aSPR 2.22, 95% CI: 1.44-3.28), handling of heavy objects (aSPR 1.67, 95% CI: 1.24-2.21), and high temperatures (aSPR 1.96, 95% CI: 1.46-2.57) was observed among them. Additionally, they faced a higher risk of no personal protective equipment (aSPR 2.53, 95% CI: 1.26-4.52) and a greater prevalence of unmet medical needs (aSPR 7.14, 95% CI: 4.74-10.32). Conclusion: Our findings highlight the elevated workplace hazards, health problems, and unmet medical needs among Vietnamese male workers compared to the Korean reference population. These findings underscores the urgency for enhanced scrutiny over working conditions and protective equipment provision, coupled with efforts to improve healthcare accessibility and worker education.

Detection Models and Response Techniques of Fake Advertising Phishing Websites (가짜 광고성 피싱 사이트 탐지 모델 및 대응 기술)

  • Eunbeen Lee;Jeongeun Cho;Wonhyung Park
    • Convergence Security Journal
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    • v.23 no.3
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    • pp.29-36
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    • 2023
  • With the recent surge in exposure to fake advertising phishing sites in search engines, the damage caused by poor search quality and personal information leakage is increasing. In particular, the seriousness of the problem is worsening faster as the possibility of automating the creation of advertising phishing sites through tools such as ChatGPT increases. In this paper, the source code of fake advertising phishing sites was statically analyzed to derive structural commonalities, and among them, a detection crawler that filters sites step by step based on foreign domains and redirection was developed to confirm that fake advertising posts were finally detected. In addition, we demonstrate the need for new guide lines by verifying that the redirection page of fake advertising sites is divided into three types and returns different sites according to each situation. Furthermore, we propose new detection guidelines for fake advertising phishing sites that cannot be detected by existing detection methods.

Association of farmers' knowledge, attitude and practices with bovine brucellosis seroprevalence in Myanmar

  • Su Su Hlaing;Satoko Kubota;Kohei Makita;Ye Tun Win;Hnin Thidar Myint;Hiroichi Kono
    • Animal Bioscience
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    • v.37 no.3
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    • pp.547-554
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    • 2024
  • Objective: This study aimed to identify the relationship between bovine brucellosis prevalence, farmers' knowledge, attitude, practice (KAP), and social factors on migratory draft cattle and smallholder dairy farms in the central dry zone of Myanmar. Methods: This cross-sectional study was conducted on 54 migratory and 38 dairy cattle farms between August 2020 and February 2021. A structured questionnaire was used to identify farmers' behaviors. Bulk milk was sampled and tested using indirect enzyme-linked immunosorbent assay (I-ELISA). STATA 17 was used for all the analyses. Results: Migratory cattle farms had a higher farm level brucellosis prevalence (14.8%) than dairy farms (2.6%; χ2 = 3.75; df = 1; p = 0.05). Only 2.8% of the farmers had knowledge about brucellosis, while 39.1% and 41.6% had attitudes and farm practices with respect to brucellosis, respectively in the study area. Socio-economic attribute of training in animal husbandry (p<0.01), raising system (p<0.01), practice of separating the aborted cow (p<0.01) were negatively associated to brucellosis. The overall farm level brucellosis prevalence was strongly associated with cattle herd size (p = 0.01), free movement grazing practices (p<0.01), practice of self-removal of placental debris without using personal protective equipment (p<0.01) and farmers' attitudes towards eating cow placenta debris (p<0.01). Conclusion: Farmers had little knowledge of brucellosis. Attitudes and practices differed significantly between migratory and dairy farmers. Training and extension programs are necessary to make farmers aware of their KAP situation since livestock migration and the custom of eating cow placental debris contribute to the spread of brucellosis. Persistent efforts are required to reduce the adverse effects of brucellosis. Therefore, the study suggests that a feasible control intervention and public awareness campaigns need to be conducted regarding methods of preventing human exposure to brucellosis.

Systematic Research on Privacy-Preserving Distributed Machine Learning (프라이버시를 보호하는 분산 기계 학습 연구 동향)

  • Min Seob Lee;Young Ah Shin;Ji Young Chun
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.2
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    • pp.76-90
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    • 2024
  • Although artificial intelligence (AI) can be utilized in various domains such as smart city, healthcare, it is limited due to concerns about the exposure of personal and sensitive information. In response, the concept of distributed machine learning has emerged, wherein learning occurs locally before training a global model, mitigating the concentration of data on a central server. However, overall learning phase in a collaborative way among multiple participants poses threats to data privacy. In this paper, we systematically analyzes recent trends in privacy protection within the realm of distributed machine learning, considering factors such as the presence of a central server, distribution environment of the training datasets, and performance variations among participants. In particular, we focus on key distributed machine learning techniques, including horizontal federated learning, vertical federated learning, and swarm learning. We examine privacy protection mechanisms within these techniques and explores potential directions for future research.

Alleviation of PM2.5-associated Risk of Daily Influenza Hospitalization by COVID-19 Lockdown Measures: A Time-series Study in Northeastern Thailand

  • Benjawan Roudreo;Sitthichok Puangthongthub
    • Journal of Preventive Medicine and Public Health
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    • v.57 no.2
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    • pp.108-119
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    • 2024
  • Objectives: Abrupt changes in air pollution levels associated with the coronavirus disease 2019 (COVID-19) outbreak present a unique opportunity to evaluate the effects of air pollution on influenza risk, at a time when emission sources were less active and personal hygiene practices were more rigorous. Methods: This time-series study examined the relationship between influenza cases (n=22 874) and air pollutant concentrations from 2018 to 2021, comparing the timeframes before and during the COVID-19 pandemic in and around Thailand's Khon Kaen province. Poisson generalized additive modeling was employed to estimate the relative risk of hospitalization for influenza associated with air pollutant levels. Results: Before the COVID-19 outbreak, both the average daily number of influenza hospitalizations and particulate matter with an aerodynamic diameter of 2.5 ㎛ or less (PM2.5) concentration exceeded those later observed during the pandemic (p<0.001). In single-pollutant models, a 10 ㎍/m3 increase in PM2.5 before COVID-19 was significantly associated with increased influenza risk upon exposure to cumulative-day lags, specifically lags 0-5 and 0-6 (p<0.01). After adjustment for co-pollutants, PM2.5 demonstrated the strongest effects at lags 0 and 4, with elevated risk found across all cumulative-day lags (0-1, 0-2, 0-3, 0-4, 0-5, and 0-6) and significantly greater risk in the winter and summer at lag 0-5 (p<0.01). However, the PM2.5 level was not significantly associated with influenza risk during the COVID-19 outbreak. Conclusions: Lockdown measures implemented during the COVID-19 pandemic could mitigate the risk of PM2.5-induced influenza. Effective regulatory actions in the context of COVID-19 may decrease PM2.5 emissions and improve hygiene practices, thereby reducing influenza hospitalizations.

Gender Differences of Susceptibility to Lung Cancer According to Smoking Habits (흡연습관에 따른 폐암발생 감수성에 대한 성별의 차이)

  • Choi, Chung-Kyoung;Shin, Kyeong-Cheol;Lee, Kwan-Ho
    • Tuberculosis and Respiratory Diseases
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    • v.49 no.5
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    • pp.576-584
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    • 2000
  • Background : With the increase of cigarette consumption by women and the young, the incidence of lung cancer is expected to increase during the next three or four decades in Korea. The purpose of this study was to analyze the smoking habits in patients with lung cancer and to identify the gender differences in terms of their susceptibility to cigarette related carcinogens. Method : This investigation was a hospital-based case control study, which included the data of 178 case subjects (72 females, 106 males) with lung cancer and 218 control subjects (97 females, 121 males) with diseases unrelated to smoking. The information was obtained through a direct personal interview and a questionnaire related to personal smoking history. Results : The relative frequency of the squamous cell carcinoma was substantially higher in males than in females (61.3% in males, and 29.2% in females), while adenocarcinoma including bronchoalveolar cell carcinoma was higher in females(31.9% in females, 18.9% in males). Kreyberg I lung cancer was of relatively higher frequencies in males and smokers, while Kreyberg II lung cancer was higher in females and never smokers. The odds ratios (ORs) at each exposure level were consistently higher in females than males. For all cell types, the risk of lung cancer was increased with the quantity of smoked cigarettes, duration of smoking, and depth of inhalation. Odds ratio was distinctly higher in Kreyberg I lung cancer than in total lung cancer and a steeper gradient of risk with increased smoking was observed in females. Conclusion : The relative risk for lung cancer was consistently higher in females than in males at every level of exposure to cigarette smoke. This is believed to be due to the higher susceptibility of females to tobacco carcinogens, such as gender associated differences of carcinogen activation and/or the elimination of smoking related metabolites.

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Improvement of the Efficacy Test Methods for Hand Sanitizers (Gel, Liquid, and Wipes): Emerging Trends from in vivo/ex vivo Test Strategies for Application in the Hand Microbiome (손소독제(겔형, 액제형, 와이프형)의 효능 평가법 개선: 평가 전략 연구 사례 및 손 균총 정보 활용 등 최근 동향)

  • Yun O;Ji Seop Son;Han Sol Park;Young Hoon Lee;Jin Song Shin;Da som Park;Eun NamGung;Tae Jin Cho
    • Journal of Food Hygiene and Safety
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    • v.38 no.1
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    • pp.1-11
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    • 2023
  • Skin sanitizers are effective in killing or removing pathogenic microbial contaminants from the skin of food handlers, and the progressive growth of consumer interest in personal hygiene tends to drive product diversification. This review covers the advances in the application of efficacy tests for hand sanitizers to suggest future perspectives to establish an assessment system that is optimized to each product type (gel, liquid, and wipes). Previous research on the in vivo simulative test of actual consumer use has adopted diverse experimental conditions regardless of the product type. This highlights the importance of establishing optimal test protocols specialized for the compositional characteristics of sanitizers through the comparative analysis of test methods. Although the operational conditions of the mechanical actions associated with wiping can affect the efficacy of the removal and/or the inactivation of target microorganisms from the skin's surface, currently there is a lack of standardized use patterns for the exposure of hand sanitizing wipes to skin. Thus, major determinants affecting the results from each step of the overall assessment procedures [pre-treatment - exposure of sanitizers - microbial recovery] should be identified to modify current protocols and develop novel test methods. The ex vivo test, designed to overcome the limited reproducibility of in vivo human trials, is also expected to replicate the environment for the contact of sanitizers targeting skin microorganisms. Recent progress in the area of skin microbiome research revealed distinct microbial characteristics and distribution patterns after the application of sanitizers on hands to establish the test methods with the perspectives on the antimicrobial effects at the community level. The future perspectives presented in this study on the improvement of efficacy test methods for hand sanitizers can also contribute to public health and food safety through the commercialization of effective sanitizer products.