• Korean Journal of Ecology and Environment
• /
• v.53 no.3
• /
• pp.229-240
• /
• 2020

In this study, the results of fish assemblage survey for 16 reservoirs in the Yeongsan·Seomjin-River watershed were presented with fish assemblage characteristics analysis in relation to reservoir size. The survey method including number of sampling sites was followed the "Biomonitoring survey and assessment manual" of the Ministry of Environment/National Institute of Environmental Research (MOE/NIER), and the reservoirs were categorized as three size groups, small, medium or large reservoirs, based on the MOE/NIER as well. Total 13 family classified into 44 species were collected from 2018 (7 reservoirs) to 2019 (9 reservoirs), and the dominant and subdominant species were Hemiculter eigenmanni (Relative abundance, RA, 32.9%) and Lepomis macrochirus (RA, 31.4%), respectively. As a result of the analysis in relation to the reservoir size, the average (±standard deviation) number of species of the small, medium and large reservoirs were 11±2.9, 14.3±2.1, 22.7±0.6, respectively, which showed positive correlation with the reservoir size. Total 6 fish assemblage characteristics(number of species, number of individuals, richness index, herbivorous fish ratio, carnivorous fish ratio, exotic fish ratio) showed significant differences between the each reservoir size groups (P<0.05). As a result of cluster analysis, 16 reservoirs were clustered into 5 groups with 60% similarity, and the each reservoirs seems to be clustered depends on the distance from each other, watershed and their historical geology rather than size. These results are baseline information for the understanding of fish assemblage in Korean reservoirs, important for establishing management policy of reservoirs in the Yeongsan·Seomjin-River watershed.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.17 no.4
• /
• pp.289-299
• /
• 2007

Objectives : To investigate the related factors on musculoskeletal symptoms among Korean female workers. Methods : A total of 1,875 female workers (1,002 office workers and 873 blue-collar workers) was analyzed. They were randomly selected among female workers by cluster sampling and interviewed by well trained interviewer, who filled out a structured questionnaire on the musculoskeletal symptoms. Other factors such as general and occupational characteristics including workplace location, employment condition, work duration, and working condition were also investigated. Results : Current smokers and drinkers were significantly more common in blue-collar workers than in office workers. Those working full time were significantly more common in blue-collar workers than in office workers. Those working over 8 hours per day were also popular in office workers than in blue-collar workers. Subjective musculoskeletal symptoms were significantly higher in the type of work including excessive repetitive work, work using awkward stretching hand upwards, work using repetitive wrist movements, static work using awkward hand posture, and heavy manual lifting and handling works. The mean score of the symptoms were significantly higher in blue-collar than in office workers. The significantly different working factors between two groups were work duration, employment condition and daily work hours. Conclusion : We suggest that the type of work including awkward and repetitive works as well as job type may be one of the most important factors related to musculoskeletal symptoms of female workers in the workplace. Preventive strategy will be needed to prevent the negative impact on health status of working women in the workplace.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.29 no.2
• /
• pp.226-236
• /
• 2002

The purpose of this study was to get descriptive statistics of the contributing factors for early childhood caries and to predict the relationship of dietary, behavior factors and health status factors of the mother and child at pregnancy and after birth. 411 first caregivers of 5-year-old children in 12 kindergartens in Kangnung city were selected by stratified random cluster sampling. They were asked to fill out questionnaires and 364 of them responded. The obtained results were as follow: 1. Over the three-Fourth of children used nursing bottle or had breast feeding habit beyond the age of 1 year. 2. 8.7% of respondents didn't recognize the necessity of the preventive measures immediate after eruption of primary tooth, and only 35.1% replied that they had begun tooth cleaning. 3. Over 90% of children brush the teeth more than once per day. But over half (614%) of them brush their teeth without parents instruction. Sixty percent of children eat between the meals as often as 1-3 time(s) a day and the remainder at any times. 4. The first time of dental visit was for most children (87%) at over 3 years, recommending the earlier dental visit. Notwithstanding the rate of routine dental visit experience was relatively high(40.2%), implicating positive parents' attitude about oral health at Kangnung area. 5. The relationships between oral health state of the parents and the variables such as the timing of the first tooth cleaning, the frequency of brushing, the time of first dental visit, and the reason of first dental visit were not statistically significant. Together, there was no statistically significant difference between rural and urban area, private and public kindergarten, and boy and girl($x^2-test$, p>.05 or Fisher's exact test, p>.05).

• Korean Journal of Health Education and Promotion
• /
• v.21 no.2
• /
• pp.17-32
• /
• 2004

The purpose of this study was to evaluate the patterns of stresses arising from various life styles and their related sociodemographic factors in urban residents. The subjects were recruited from the population of two ‘Dong’s (administrative blocks) representative of Daejeon city through stratified cluster random sampling during the period ranging from June I st to Aug. 31 st, 2003. Self-administered questionnaires, including items asking about subjects' sociodemographic characteristics, daily life styles, measurement of stresses by General Health Questionnaire (Goldberg, 1978), were delivered to 396 residents and their responses were analyzed with the following results. 1. Based on the discriminant scores of HPI, 46.7％ of the subjects were found to have less than 4 points (poor life style), whereas 53.3％ had points higher than 5 (good life style). Higher than 5 points were scored more frequently in females than in the male, in the age group of 40's - 60's than the 30's, in the group with spouse than without, in the group with both spouse and offsprings than without, and in the group owning a house than not. 2. Based on the degree of stress, 17.7％ of the subjects were determined to be healthy, 74.5％ were potentially under stress, and 7.8％ were at higher risk of stress. The proportion of healthy individuals were significantly higher in the male, advanced aged group(40's and 60's), the group with higher education years( over highschool), with higher monthly income over two million Won, and with spouse, than their respective counterparts. On the other hand the proportion of the individuals potentially under stress and at higher risk of stress was significantly higher in the female, in the age group of 30's and over 60's, in the group with academic career lower than middle school, with monthly income lower than two million Won, and without spouse. 3. Based on the relation of HPI with degree of stresses, subjects with HPI scores lower than 4 had increased rate of falling into the groups under potential stress and at higher risk of stress, while on the other hand those with over 5 points were found to be healthy in light of stress. 4. Based on the specific relation of each item of HPI with degree of stress, the proportion of healthy individuals was higher in the groups who take appropriate hours of sleep(7-8hours), who take breakfasts everyday, who take physical exercises everyday, who don't smoke, who don't drink alcohol, who take snacks everyday, who are overweight and obese, whereas the proportion of the group under potential stress and at higher risk of stress was higher in their comparable counterparts. 5. The relation of mean scores of HPI with stress scores in both male and female subjects showed negative correlation that the higher HPI scores, the lower stress scores. 6. Multivariate regression analysis to reveal the factors influencing the stress of the subjects showed that for men the significant factors were age, education, presence of job or not, exercise, subjective health status, with the explanatory power of 26.3％. For women, they included educational years, presence of spouse or not, job, owning a house or not, sleeping hours, drinking habit, taking snacks, subjective health status, with the explanatory power of 31.8％. The above study results suggests that stresses of urban residents have significant correlation with daily life styles and this correlation is also remarkably distinguished by different age and sex.

• Sleep Medicine and Psychophysiology
• /
• v.5 no.1
• /
• pp.88-102
• /
• 1998

Objectives : We attempted to study obstructive sleep apnea symptoms prevalence and sleep apnea-associated factors in Korean rural adult population. Methods : In 1,441 adult subjects of three rural communities selected by cluster sampling, we administered an epidemiologic survey using questionnaire methods from July 14, 1996 to July 28, 1996. Results : 1) In 14.1% of the subjects, snoring was reported to occur almost daily and 2.9% of the subjects reported sleep apnea symptoms occurring almost daily. 2) Snoring and sleep apnea symptoms were found more frequently in males or in mid-aged group(45 - 64 years old) than in females or in younger- and older-aged groups, respectively. Compared with the subjects who have no snoring, the subjects who have snoring or sleep apnea symptoms had greater body mass index(BMI), waist-hip ratio, hemoglobin level, RBC count, and higher diastolic blood pressure. 3) Cigarette smoking and alcohol drinking more than once a week were significantly associated with suffering from sleep apnea symptoms. 4) In multiple logistic regression analysis, being male, mid-aged, and greater BMI were independently associated with the presence of snoring and sleep apnea symptoms. Conclusion : We conclude that, in the Korean rural adult population, males or mid-aged group suffers more from snoring and sleep apnea symptoms than females or younger- and older-aged groups. In addition, being male, mid-aged, and greater BMI were significantly associated independently with the presence of snoring and sleep apnea symptoms.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.20 no.5
• /
• pp.491-503
• /
• 2014

This study was performed to investigate the community structure and health assessment of macrobenthic assemblages in Garorim Bay, West Coast of Korea. Macrobenthos were collected by van Veen grab sampler at May(spring) and July(summer) 2012. A total of 247 species occurred and mean density was $1,625\;ind.\;m^{-2}$, both of which were dominated by annelid polychaetes(120 species and $1,241m^{-2}$). Dominant species were the polychaetes Ampharete arctica, Lumbrineris longifolia, Mediomastus californiensis and Euclymene oerstedi, with a density of 445(${\pm}1,837\;ind.\;m^{-2}$), 103(${\pm}148\;ind.\;m^{-2}$), 55(${\pm}83\;ind.\;m^{-2}$) and 50(${\pm}104\;ind.\;m^{-2}$), respectively. The study area was divided into 3 station group based on the cluster analysis and nMDS ordination. These assemblage were : 1)the group 1 and 2 were associated with coarse sediment dominated stations and 2)the group 3 was connected with a mixed and fine sediment dominated stations group. The BPI and AMBI index were applied to assess the benthic ecological status. The ecological status of the Garorim Bay was "good status(slightly polluted)" to "high status(normal)" at most sampling stations during spring and summer. In conclusion, the two marine biotic index calculated shown that the Garorim Bay had a good ecological status.

• Korean Security Journal
• /
• no.42
• /
• pp.7-36
• /
• 2015

This study aims at analyzing difference of social Security network, Community unity and local government trust according to socio-demographical features, exploring the relation of social Security network, Community unity and local government trust according to socio-demographical features, presenting results between each variable as a model and verifying the property of mutual ones. This study sampled general citizens in Gwangju for about 15 days Aug. 15 through Aug. 30, 2014, distributed total 450 copies using cluster random sampling, gathered 438 persons, 412 persons of whom were used for analysis. This study verified the validity and credibility of the questionnaire through an experts' meeting, preliminary test, factor analysis and credibility analysis. The credibility of questionnaire was ${\alpha}=.809{\sim}{\alpha}=.890$. The inout data were analyzed by study purpose using SPSSWIN 18.0, as statistical techniques, factor analysis, credibility analysis, correlation analysis, independent sample t verification, ANOVA, multi-regression analysis, path analysis etc. were used. the findings obtained through the above study methods are as follows. First, building a social Security network has an effect on Community institution. That is, the more activated a, the higher awareness on institution. the more activated street CCTV facilities, anti-crime design, local government Security education, the higher the stability. Second, building a social Security network has an effect on trust of local government. That is, the activated local autonomous anti-crime activity, anti-crime design. local government's Security education, police public oder service, the more increased trust of policy, service management, busines performance. Third, Community unity has an effect on trust of local government. That is, the better Community institution is achieved, the higher trust of policy. Also the stabler Community institution, the higher trust of business performance. Fourth, building a social Security network has a direct or indirect effect on Community unity and local government trust. That is, social Security network has a direct effect on trust of local government, but it has a higher effect through Community unity of parameter. Such results showed that Community unity in Gwangju Region is an important factor, which means it is an important variable mediating building a social Security network and trust of local government. To win trust of local residents, we need to prepare for various cultural events and active communication space and build a social Security network for uniting them.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.19 no.4
• /
• pp.272-286
• /
• 2014

This study was performed to investigate the community structure and health assessment of macrobenthic assemblages in Cheonsu Bay, West Coast of Korea. Total species number was 224 and mean density was $1,940ind./m^2$, both of which were dominated by polychaete worms (111 species and $1,213ind./m^2$). In terms of density, the major dominant species were the bivalve Theora fragilis ($280{\pm}213ind./m^2$), the polychaetes Heteromastus filiformis ($254{\pm}218ind./m^2$), Lumbrineris longifolia ($216{\pm}41ind./m^2$), Mediomastus californiensis ($158{\pm}97ind./m^2$) and the amphipod Eriopisella sechellensis ($167{\pm}100ind./m^2$). As a result of community statistics (cluster analysis and nMDS ordination), the macrobenthic community structure was classified two major groups (inner and mouth of bay) and two stations (station 2 near Ganwol dyke in spring and summer). The Benthic Pollution Index (BPI) and AZTI's Marine Biotic Index (AMBI) were applied to assess the benthic ecological status. During the sampling periods, the BPI Index values varied between 11 (bad status) and 92 (high status). On the other hand, the AMBI Index values was ranged between 1.34 (good status) and 4.39 (poor status). In conclusion, in terms of the mean BPI and AMBI Index values, the ecological status of Cheonsu Bay were moderate status (ecotone stage) and good status, respectively.

• Journal of Intelligence and Information Systems
• /
• v.26 no.1
• /
• pp.1-21
• /
• 2020

With the rapid development of artificial intelligence technology, various techniques have been developed to extract meaningful information from unstructured text data which constitutes a large portion of big data. Over the past decades, text mining technologies have been utilized in various industries for practical applications. In the field of business intelligence, it has been employed to discover new market and/or technology opportunities and support rational decision making of business participants. The market information such as market size, market growth rate, and market share is essential for setting companies' business strategies. There has been a continuous demand in various fields for specific product level-market information. However, the information has been generally provided at industry level or broad categories based on classification standards, making it difficult to obtain specific and proper information. In this regard, we propose a new methodology that can estimate the market sizes of product groups at more detailed levels than that of previously offered. We applied Word2Vec algorithm, a neural network based semantic word embedding model, to enable automatic market size estimation from individual companies' product information in a bottom-up manner. The overall process is as follows: First, the data related to product information is collected, refined, and restructured into suitable form for applying Word2Vec model. Next, the preprocessed data is embedded into vector space by Word2Vec and then the product groups are derived by extracting similar products names based on cosine similarity calculation. Finally, the sales data on the extracted products is summated to estimate the market size of the product groups. As an experimental data, text data of product names from Statistics Korea's microdata (345,103 cases) were mapped in multidimensional vector space by Word2Vec training. We performed parameters optimization for training and then applied vector dimension of 300 and window size of 15 as optimized parameters for further experiments. We employed index words of Korean Standard Industry Classification (KSIC) as a product name dataset to more efficiently cluster product groups. The product names which are similar to KSIC indexes were extracted based on cosine similarity. The market size of extracted products as one product category was calculated from individual companies' sales data. The market sizes of 11,654 specific product lines were automatically estimated by the proposed model. For the performance verification, the results were compared with actual market size of some items. The Pearson's correlation coefficient was 0.513. Our approach has several advantages differing from the previous studies. First, text mining and machine learning techniques were applied for the first time on market size estimation, overcoming the limitations of traditional sampling based- or multiple assumption required-methods. In addition, the level of market category can be easily and efficiently adjusted according to the purpose of information use by changing cosine similarity threshold. Furthermore, it has a high potential of practical applications since it can resolve unmet needs for detailed market size information in public and private sectors. Specifically, it can be utilized in technology evaluation and technology commercialization support program conducted by governmental institutions, as well as business strategies consulting and market analysis report publishing by private firms. The limitation of our study is that the presented model needs to be improved in terms of accuracy and reliability. The semantic-based word embedding module can be advanced by giving a proper order in the preprocessed dataset or by combining another algorithm such as Jaccard similarity with Word2Vec. Also, the methods of product group clustering can be changed to other types of unsupervised machine learning algorithm. Our group is currently working on subsequent studies and we expect that it can further improve the performance of the conceptually proposed basic model in this study.

• Journal of Preventive Medicine and Public Health
• /
• v.22 no.1 s.25
• /
• pp.29-44
• /
• 1989

A household survey was conducted to determine the utilization rate of medical facilities and to identify the factors related with the utilization in the South District of Taegu from July 3 to July 15, 1988. Study population included 1,723 family members of 431 households which were selected by one-stage simple cluster random sampling. Well trained medical college students interviewed mainly housewives with a structurized questionnaire. Morbidity rate of acute illness during the 2-week period was 101 per 1,000 persons and it was highest in the age group of 9 years below. The rate for chronic illness was 77 per 1,000 persons, increasing with age, low income and medicaid benefit. During the 2-week period, 689 of 1,000 persons utilized the medical facilities. Of the facilities, most number, 294, used hospital and clinic, and the order ran as pharmacy, health center, and herb medical clinic. The utilization rate was higher in the female, 70-year and older group, medicaid group, the lowest income class and self-employed group than other groups. The average number of visits among users of medical facilities during the 2-week period was 3.25. those who visited medical facilities most frequently were females, the 70-year and older group, the lowest income class and blue collar worker group. During one-year period, admission rate of 1,000 persons was 27.6 and that of female was 38.9, higher than that of male. the eldest group had the highest admission rate. Admission rate of medical insurance beneficiaries was twice or higher than non-beneficiaries. The higher the family monthly income, the more frequently they admitted. During one-year period, average admission days of the persons hospitalized were 22.5 days and males were hospitalized longer than females. The groups which were hospitalized longest were those between the ages of 40 and 49, medical insurance beneficiaries, the lowest income group and unemployed group. During one-year period, average admission days of 1,000 persons were 560 days and those of female were 661 days, more than those of male. The guoups which had the longest admission days were those above 70 years of age, the lowest income and unemployed groups. The medical insurance beneficiaries were three times or longer than non-beneficiaries. In logistic regression analysis of utilization of physician significant independent variables were the 9-year and younger group(+), the 70-year and older group(+), acute illness episode(+), chronic illness episode(+), medical insurance beneficiary(+) and white collar workers(-). Acute and chronic illness episode(+), and medical insurance for government employees and private school teacher(-) were significant variables in analysis of utilization of pharmacy. In multiple regression analysis of the number of physician visits, siginificant variables were acute illnes episode(+), chronic illness episode(+), industrial, occupational and regional medical insurance beneficiary(+), white collar workers(-). Acute and chronic illness episode(+), and medical insurance beneficiary(-) were significant variables in analysis of the number of pharmacy visits. In logistic regression analysis of admission event, significant independent variables were the 9-year and younger group(+), the 70-year and older group(+) , chronic illness episode(+), and medical insurance beneficiary(+).