• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.496-498
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• 2021

In Korea, based on the high fertility rate before 1980, the total population has been steadily increasing, and since the mid-1980s, the fertility rate has fallen sharply and has fallen below the level of population replacement. The cause of low birth rate in the region is not voluntary rejection, but rather, it is necessary to find out the cause by identifying the structural causes of the local community from various angles. We collected local Internet news and local representative cafe data, where many mothers participate, based on the budget area with a very low fertility rate among various areas. Factors of childbirth inhibition were analyzed by using the frequency of concurrent words that became issues related to population decline, low birthrate, and child-rearing welfare.

• Journal of Preventive Medicine and Public Health
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• v.41 no.6
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• pp.380-386
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• 2008

Objectives: Valid data on the national cancer incidence (NCI) is the data should be needed to plan, monitor and evaluate the national cancer control programs. The purpose of this study was to estimate the NCI for 2000-2002 from 8 population-based cancer registries database in Korea (KRCR DB). Methods: We defined the expected number of cancer cases in each registry as the number of observed cases and then adding to the weighted observed cases, according to sex, age groups, and the proportion of the population covered by each registry for the population of the eight regions and the population of all areas with excluding the 8 regions. From the expected number of total cancer incidents, he estimated NCI was calculated by dividing the expected number of cancer cases by he umber of the total population. The standard error (SE) of the estimated incidence was also taken from the expected number of total cancer incidents. Results: The overall estimated crude rates in 2000-2002 ere 267.1 and 219.0 per 100,000 for men and women, respectively. The overall age-standardized rates (ASR) were 290.1 and 180.7 per 100,000, respectively. Compared with the ASRs obtained from Korea National Cancer Incidence database (KNCI DB), the estimated ASRs from the KRCR DB did not show statistically significant differences except for some cancers in women. For the aspect of the SE, index of DCO(death certificate only) and of MV(microscopically verified), the estimated ASRs from the KRCR DB are more accurate and they have higher quality rather than the calculated ASRs from the KNCI DB. Conclusions: We found that this developed method using the KRCR DB is valid and it could be another strategy for estimating the NCI in Korea.

• The Korean Journal of Pain
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• v.34 no.3
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• pp.332-338
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• 2021

Background: Trigeminal neuralgia (TN) is one of the most painful disorder in the orofacial region, and many patients have suffered from this disease. For the effective management of TN, fundamental epidemiologic data related to the target population group are essential. Thus, this study was performed to clarify the epidemiological characteristics of TN in the Korean population. This is the first national study to investigate the prevalence of TN in Korean patients. Methods: From 2014 to 2018, population-based medical data for 51,276,314 subscribers to the National Health Insurance Service of Korea were used for this study. Results: The incidence of TN was 100.21 per 100,000 person-years in the year of 2018 in Korea, and the male to female ratio was 1:2.14. The age group of 51-59 years had the highest prevalence of TN. Constant increases in medical cost, regional imbalance, and differences in prescription patterns by the medical specialties were showed in the management of TN. Conclusions: The results in this study will not only help to study the characteristics of TN, but also serve as an important basis for the effective management of TN in Korea.

• Spatial Information Research
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• v.18 no.5
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• pp.107-117
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• 2010

Taking the East-Hwasung area as the case, this study first builds gridded population data based on the municipal population survey raw data, and then measures, by way of GIS tools, the major urban spatial variables that are thought to influence the composition of the regional population. For the purpose of comparison, the urban models based on the Genetic Algorithm technique and the regression technique are constructed using the same input variables. The findings indicate that the GA output performed better in differentiating the effective variables among the pilot model variables, and predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression models. The study results indicate that GA technique could be a very useful and supplementary research tool in understanding the urban phenomena.

• 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.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.6 s.123
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• pp.491-497
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• 2007

Reasonably accurate estimation of the exposed population to the distinct levels of noise is essential to the efficient management of urban environmental noise. This study proposes a method of calculating the number of exposed people to industrial noise by using GIS tool and noise mapping. The exposed population of noise based on estimation of the number of people that lived in each building in urban area is compared with the one based on density of population. This study suggests the five step method that consists of gathering the fundamental data, extracting the property from the digital map, noise mapping based on the three dimensional topography, estimating population that lives in each building, merging the various results with GIS tool, and estimating exposed population to industrial noise through analyzing the noise map with GIS tools.

• Journal of Environmental Health Sciences
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• v.48 no.6
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• pp.298-305
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• 2022

Background: The concentration of air pollutants as measured by the Air Quality Monitoring System (AQMS) is not an accurate population exposure level since actual human activities and temporal and spatial variability need to be considered. Therefore, to increase the accuracy of exposure assessment, the population should be considered. However, it is difficult to obtain population data due to limitations such as personal information. Objectives: The existing population defined in this study is the number of people in each region's grid. The purpose is to provide a methodology for evaluating exposure to PM_2.5 through existing population data provided by the National Geographic Information Institute. Methods: The selected study period was from October 26 to October 28, 2021. Using PM_2.5 concentration data measured at the Sensor-based Air Monitoring Station (SAMS) installed in Guro-gu and Wonju-si, the concentration for each grid was estimated by applying inverse distance weights through QGIS version 3.22. Considering the existing population, population-weighted average concentration (PWAC) was calculated and the exposure level of the population was compared by region. Results: The outdoor PM_2.5 concentration as measured through the SAMS was high in Wonju-si on all three days. Wonju-si showed an average 22% higher PWAC than Guro-gu. As a result of comparing the PWAC and outdoor PM_2.5 concentration by region, the PWAC in Guro-gu was 1~2% higher than the observed value, but it was almost the same. Conversely, observations of Wonju-si were 10.1%, 11.3%, and 8.2% higher than PWAC. Conclusions: It is expected that the Geographic Information System (GIS) method and the existing population will be used to evaluate the exposure level of a population with a narrow activity radius in further research. In addition, based on this study, it is judged that research on exposure to environmental pollutants and risk assessment methods should be expanded.

• Journal of the Korean Institute of Rural Architecture
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• v.21 no.3
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• pp.61-68
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• 2019

Dramatic increase of population migrating from suburban area to metropolitan area which started in 1990s resulted in the increase of aging population among this area. Centralized population also causes decreased number of students in suburban areas which in turn affects environmental facilities such as school and brings social issue. Additionally, compared to the alternative analysis and data regarding internal spatial arrangement of high school, there are not enough data or information on external spatial arrangement and how to construct such space. Therefore, the main purpose of this thesis is to provide fundamental data which can be used as a reference in improving educational environment of suburban high school by analyzing and investigating various factors including location, accessibility, facility status, and external spatial arrangement based on arrangement type of 8 normal high schools located across Jeju Island where the trend of decreasing number of students is prominent. Following is the result of such investigation. Despite the fact that high schools from suburban areas in Jeju Island possess diversity based on local characteristic, construction of external space is rather inconsistent as the plans regarding external space is not organized. Therefore, there is a need for preparing external spaces appropriate for each school based on the number of students and the characteristic of gymnasium.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.201-210
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• 2024

In empirical software engineering research, there is an increased use of questionnaires and surveys to collect information from practitioners. Typically, such data is then analyzed based on overall, descriptive statistics. Overall, they consider the whole survey population as a single group with some sampling techniques to extract varieties. In some cases, the population is also partitioned into sub-groups based on some background information. However, this does not reveal opinion diversity properly as similar opinions can exist in different segments of the population, whereas people within the same group might have different opinions. Even though existing approach can capture the general trends there is a risk that the opinions of different sub-groups are lost. The problem becomes more complex in case of longitudinal studies where minority opinions might fade or resolute over time. Survey based longitudinal data may have some potential patterns which can be extracted through a clustering process. It may reveal new information and attract attention to alternative perspectives. We suggest using a data mining approach to finding the diversity among the different groups in longitudinal studies (agile skeptics). In our study, we show that diversity can be revealed and tracked over time with the use of clustering approach, and the minorities have an opportunity to be heard.

• Journal of Korean Society of Rural Planning
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• v.28 no.2
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• pp.61-69
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• 2022

This study categorizes and identifies the characteristics of the living areas of rural dwellers through cluster analysis using mobile floating population data. As a result, rural areas in Korea were classified into 34 rural living areas, and 5 types of rural living areas were derived. Although the 'Suburban in Mega City Areas' and 'Suburban in Regional City Areas' derived through this study have advantages in terms of accessibility to large cities, they are important for rural space management as they can undermine the unique values of rural areas due to urban expansion. In addition, 'Unclassified areas' have low accessibility in the national space, and there is a need to provide their own settlement environment. The population of rural areas in Korea exhibited a phenomenon of widespread migration. This means that rural residents who depend on metropolitan areas are provided with SOC beyond administrative boundaries. Therefore, there is a need to move away from establishing a homogeneous regional plan that does not consider population movement. Through this study, it was possible to understand the rural living area formed by the population movement occurring in the rural area. This is different in that the existing studies classified the national space based on the interconnectedness between regions, beyond the limitations of categorizing regions with homogeneous characteristics based on endogenous indicators. At this point in time when the need for a rural space plan is emphasized, it is important to understand the living area of rural dwellers and to design an appropriate rural plan. Therefore, the establishment of a rural plan suitable for the region using the results of this study can increase the efficiency of the project for revitalization of the rural area and contribute to the creation of an attractive national space.