• Parasites, Hosts and Diseases
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• v.57 no.1
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• pp.69-73
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• 2019

In a population-based study with 4 years of follow up, we evaluated the prevalence of Coxiella burnetii in cattle on Ulleung Island, Korea. In this study, the rates of C. burnetii infection in cattle on Ulleung Island were determined by PCR and were found to be 0.3-1.0% in the period 2011-2014. All 17 C. burnetii partial 16S rRNA gene sequences from PCR-positive cattle were identical and 2 geographic representatives were included in our analysis. The nucleotide sequences of the 2 samples showed high (98.4-100%) identity with C. burnetii sequences obtained from the GenBank. In this long-term tracking study, the number of cattle positive for C. burnetii on Ulleung Island was low. To prevent the transmission of C. burnetii on Ulleung Island, control strategy should include biosecurity improvement in surveillance, livestock management, administering suitable tests before purchasing animals to detect C. burnetii shedders, and restricting movements between herds.

• Journal of KIISE:Databases
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• v.36 no.5
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• pp.386-398
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• 2009

This paper proposes an ontology population model based on ISO/IEC 11179. Much research has recently been done on harmonizing Web 2.0 and the Semantic Web, and the harmonization is defined as Web 3.0. The most important issues for realizing Web 3.0 include defining ontology schemas and populating instances for ontologies. To resolve the issue, Web ontology schemas should be precisely defined, and a method for populating Web ontology from Web resources should be developed. This paper proposes a Web ontology population model based on ISO/IEC 11179 - Metadata Registry (MDR), which is the international standard, developed to manage and use common standard concepts.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5257-5260
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• 2015

Rates based on age-adjusted incidence of colorectal cancers over a 10-year period in Kerman, the biggest province of Iran, were estimated from 2003 to 2013. Data were obtained from the population-based cancer registry unit of Kerman University of Medical Sciences (CR-KMU). Information included age, sex, city, ICD-O and year of registry. Our trend analyses cover 3.91% of the Iranian population. The data set comprised cases diagnosed from 2003 to 2013.The population of over 20 years was interpolated using 2003 and 2010 censuses. Then, truncated age-adjusted incidence rates were calculated. Increase was noted from 2003-2009 to 2010-2013 for 731 cancer cases considered in the analysis. The increases was most prominent in 2009. Totally, the frequency of the cancer was greater in males. Moreover, calculating truncated age-adjusted incidence rate indicated that the most prevalent age of colorectal incidence was in the 50-59 year age group except in 2007-2008 and 2012- 2013, when greatest incidences occurred in people aged 60-69 years. Our data revealed that the incidence rates of colorectal cancer have increased over the past decade in our region of Iran.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.3
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• pp.191-199
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• 2001

This paper presents a new genetic algorithm for job-shop scheduling problems. When we design a genetic algorithm for difficult ordering problems such as job-shop scheduling problems, it is important to design encoding/crossover that is excellent in characteristic preservation and to maintain a diversity of population. We used Job-based order crossover(JOX). Since the schedules generated by JOX are not always active-schedule, we proposed a method to transform them into active schedulesby using the GT method with c)laracteristic preservation. We introduce strategies for maintaining a diversity of the population by eliminating same individuals in the population. Furthermore, we are not used mutation. Experiments have been done on two examples: Fisher s and Thompson s $lO\timeslO and 20\times5$ benchmark problem.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.1033-1042
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• 2003

In this study, the economic population prediction by computer simulation has been studied by using statistical model. The forecast of future population based on that of the past is a very difficult problem as uncertain conditions are modeled in it. Even if a thought forecast is possible, world-wide cultures and the local culture emotion the cultures of the world and out country can not be predicted due to rapid change and the estimation of population is ‘nowadays more and more’ difficult to be made good guess. In the estimation of economic population, by using the census population from 1960 to 1990, and using ARIMA model developed by Box and Jenkins, the estimation has been done on the economic population until 2021 according to age as appeared table and appendix. This kind of forecast would have both good point and weak point of ARIMA model theory saying that prediction can be done only by the economic population.

• Korean Journal of Remote Sensing
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• v.36 no.1
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• pp.83-92
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• 2020

The purpose of this work was to apply geographical information system (GIS) for geostatistical analyzing by selecting a semi-variogram model to quantify the spatial correlation of the population distribution with residential neighborhoods in the both sides of Mosul city. Two hundred and sixty-eight sample sites in 240 ㎢ are adopted. After determining the population distribution with respect to neighborhoods, data were inserted to ArcGIS10.3 software. Afterward, the datasets was subjected to the semi-variogram model using ordinary kriging interpolation. The results obtained from interpolation method showed that among the various models, Spherical model gives best fit of the data by cross-validation. The kriging prediction map obtained by this study, shows a particular spatial dependence of the population distribution with the neighborhoods. The results obtained from interpolation method also indicates an unbalanced population distribution, as there is no balance between the size of the population neighborhoods and their share of the size of the population, where the results showed that the right side is more densely populated because of the small area of residential homes which occupied by more than one family, as well as the right side is concentrated in economic and social activities.

• Journal of Environmental Science International
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• v.23 no.4
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• pp.697-705
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• 2014

The exposed population of a vulnerable group to high ozone episodes (exceeding 60 ppb/8h) was estimated in Busan metropolitan city from 2000 to 2010. The frequency of high ozone days at monitoring sites and the number of the population aged over 65 were used to calculate the accumulated (total, seasonal, and yearly) number of the exposed older population (EOP) to high ozone episodes during the study period based on administrative areas, by interpolation and zonal mean methods in ArcGIS software. The older population in this city had increased significantly from 2000 to 2010 (representing over 10% of the total population in 2010). The vulnerable areas (e.g. the eastern area of the city) of the EOP to high ozone episodes were different from the areas with frequent high ozone episodes (e.g., the western area) due to the increase of the older population in particular areas. The difference was more significant in spring than in any other season, and in 2010 than in previous years (2000 and 2005).

• Quality Improvement in Health Care
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• v.26 no.2
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• pp.95-103
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• 2020

Purpose: This study was to examine whether a health care model that provides comprehensive medical services based on population groups to members of the medical cooperative is applicable as a policy alternative in terms of medical use and cost. Methods: Data were derived from National Health Insurance claim data in 2019. We compared the medical volume and expenses of patients who visited social cooperative-type medical clinics with other patients, control group who visited other clinics in a local area. Results: The average number of visit days was 25.3 days in social cooperative-type medical clinics, more than 24.2 days in the control group (p=.004). However, the average medical cost per visit was KRW 46 thousand in social cooperative-type medical clinics, which was significantly lower than KRW 51 thousand in the control group (p<.001), and the total medical cost was also KRW 16.1 billion in social cooperative-type medical clinics and KRW 16.9 billion in the control group. Conclusion: We identified that a population-based health care model might change patients' behaviors to health care services and decrease total medical cost. Further population based experiment is needed to develop alternative healthcare model.

• Journal of the Korean Regional Science Association
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• v.9 no.1
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• pp.45-63
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• 1993

University enrollment has long been regarded as one of the major factors inducing population concentration in Seoul and the Capital Region of Korea. Consequently, since early 1980's increases in enrollment and new establishments of extention universities beyond the boundary of Seoul, has been promoted, while university enrollment quota in Seoul has been strictly controlled. The degree of actual population dispersal, however, resulting from such a university enrollment policy has not been empirically tested. This paper aims at: First, identifying the trend of population growth and evolution process of the university enrollment policy in the Capital Region; Second, comparing the degree of influence of university enrollment on population concetration factors; Third, measuring actual effect of the enrollment control on population dispersal out of Seoul and the Capital Region. Major findings are as follows: First, only a week correlation between population and university enrollment growth trends was found; Second, the relative degree of influence on population concentration in the Capital Region, were order, in the order of magnitude, the physical amenity factor, the socio-cultural amenity factor, the employment climate factor and the educational factor. Third, and most improtant, based on the comparison of spatial distribution of graduated high schools and current residence of the selected university students, the gap between the two distributions was revealed and the inter-regional student population movement was estimated. The result shows that in Seoul's case about one-half of and in Kyunggi Province's case about one-fifth of university enrollment size, contributes to population concentration into Seoul. Fourth, as to the universities outside of the Capital Region, little effect in the case of universities located within the commuting distance, and a little effect on population dispersal in the case of universities located beyond commuting distance, were found. In sum, it seems clear that university enrollment policy in the Capital Region, especially in Inchon/Kyunggi Province has not been effective on student population dispersal out of Seoul and the Capital Region. Therefore, it is strongly recommended that university enrollment policy be throughly re-examined from its goal to the implementation means.

• Land and Housing Review
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• v.14 no.2
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• pp.73-82
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• 2023

This study empirically analyzes the policy demand for population inflow in Hongcheon-gun, a region that has experienced population decline over the past decade. The results of this study based on the multinominal logit model provide the policy implications as follows. First, due to the differing factors influencing the demand for population inflow policies among the young and the elderly, local governments should clearly define the policy targets for population inflow. Second, in the context of policy demand for population inflow through corporate attraction, we identify statistically significant and positive effects of the length of residence for both young and old people, and the level of formal education for the elderly. These results emphasize the importance of formulating population inflow policies distinctively targeted for the young and the elderly generations, respectively, thereby increasing population inflow in the population reduction area.