• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1145-1153
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• 2009

The problem of Korean registered population is that population classified by age increases as one grows older until 6 age or 7 age. This paper is to suggest an algorithm of the re-projection under 7 age on Korean registered population and to analysis of comparison with the reported population statistical data. As the result, the reprojections population is trusted in the number of 0 age on the comparison of other reported population statistical data.

• The Korean Journal of Applied Statistics
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• v.32 no.4
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• pp.517-541
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• 2019

According to the OECD (2015) and UN (2017), Korea was classified as an immigration country. The designation as an immigration country means that net migration will remain positive and international migration is likely to affect population growth. KOSTAT (2011) used a model with more than 15 parameters to divide sexes, immigration and emigration based on the Wilson (2010) model, which takes into account population migration factors. Five years later, we assume the average of domestic net migration rate for the last five years and foreign government policy likely quota. However, both of these results were conservative estimates of international migration and provide different results than those used by the OECD and UN to classify an immigration country. In this paper, we proposed a stochastic projection on international migration using nonparametric model (FDM by Hyndman and Ullah (2007) and Coherent FDM by Hyndman et al. (2013)) that uses a functional data model for the international migration data of Korea from 2000-2017, noting the international migration such as immigration, emigration and net migration is non-linear and not linear. According to the result, immigration rate will be 1.098(male), 1.026(female) in 2018 and 1.228(male), 1.152(female) in 2025 per 1000 population, and the emigration rate will be 0.907(male), 0.879(female) in 2018 and 0.987(male), 0.959(female) in 2025 per 1000 population. Thus the net migration is expected to increase to 0.191(male), 0.148(female) in 2018 and 0.241(male), 0.192(female) in 2025 per 1000 population.

• Journal of Korea Multimedia Society
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• v.13 no.9
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• pp.1399-1411
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• 2010

Mobile media have become independent media formats in a current media environment. This study explores mobile media uses of metropolitan Korean teenagers focusing on demographic elements and socio-cultural dimensions. The findings of this study show that demographic variables and socio-cultural variables influenced mobile media purchases and mobile content uses. Specifically, demographic variables explain mobile media purchases more, and socio-cultural variables explain mobile content uses of Korean teenagers. Among significant variables, conformity and self demonstration are core elements explaining teenagers' consumer behaviors. These findings could provide implications to both academicians and practitioners.

• The Korean Journal of Applied Statistics
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• v.33 no.4
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• pp.421-437
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• 2020

This paper implemented a method to predict the fertility rate, mortality rate, and international migration rate using the R program, which has been widely used in recent years, that calculates population projection by substituting the results into the Leslie matrix. In particular, the generalization log gamma model for the fertility rate by Kaneko (2003), LC-ER model for mortality rate by Li et al. (2013), and functional data model for international migration rates proposed by Ramsay and Silverman (2005) and Hyndman and Booth (2008), Hyndman et al. (2013) can be directly demonstrated with R programs. Demography and bayesPop have been introduced as a representative demographic package implemented in R; however, it can be analyzed only for data uploaded to Human Mortality Database (HMD) and Human Fertility Database (HFD) with data changes and modifications requiring application of other data. In particular, in Korea, there is a limitation in applying this package because it is provided only for short-term data in HMD. This paper introduces an R program that can reflect this situation and the different patterns of low fertility, aging, migration of domestic and foreigners in Korea, and derives a population projection for the year 2117.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.907-914
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• 2015

Reduction in the number of students due to the low birth rate has notice very many changes in the national education policies. The purpose of this study is to propose a method for estimation of the number of students (the population) by age or grade promotion rate of progression rate to estimate the exact number of students (the population) by 2032. It was suggested the nth moving average proportional method and the weighted proportional moving average method as the method of population projections. It presents the means and standard deviations of the measurement errors of the suggested methods by Monte Carlo simulation. Measured in this study are predicted result was a phenomenon is estimated lower than the actual value.

• The Korean Journal of Applied Statistics
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• v.33 no.2
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• pp.185-201
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• 2020

Scenario population projection reflects the high probability of future realization and ease of statistical interpretation. Statistics Korea (2019) also presents the results of 30 combinations, including special scenarios, as official statistics. However, deterministic population projections provide limited information about future uncertainties with several limitations that are not probabilistic. The deterministic population projections are scenario-based estimates and show a perfect autocorrelation of three factors (birth, death, movement) of population variation over time. Therefore, international organizations UN, the Max Planck Population Research Institute (MPIDR) of Germany and the Vienna Population Research Institute (VID) of Austria have suggested stochastic based population estimates. In addition, some National Statistics Offices have also adopted this method to provide information along with the scenario results. This paper calculates the demographics of Korea based on a probabilistic or stochastic basis and then draws the pros and cons and show implications of the scenario (deterministic) population projections.

• Journal of the Korean Regional Science Association
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• v.34 no.3
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• pp.55-68
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• 2018

This paper aims to analyze the changes of the population distribution of metropolitan area by the development of the new town-type innovative city, focusing on the case of the Daegu Innovative City. Using dataset in the survey of population trend and the migration statistics microdata provided by the Statistics Korea, we decomposed population changes of Daegu and surrounding regions into natural increase and social increases(net migration). As a result of the analysis, Dong-gu, where the Daegu Innovation City is located, experienced population growth due to its increase of net migration, whereas the total population in Daegu been decreasing continuously between 2007 and 2016. In particular, the occurrence of high net migration to Dong-gu in 2014 showed a pattern consistent with the completion of the Daegu Innovative City development and the relocation of government institutions from the Seoul metro area. As a result of analyzing the migration to Dong-gu, the population moved from the Seoul metro area was 6.9% of the total, while the population moving from the other 7 gu-gun areas in Daegu (35.8%) and the surrounding regions (8.2%) were significantly high. In particular, the migration to Dong-gu were from neighboring areas, such as Suseong-gu, Buk-gu and Gyeongsan-si. Therefore, the development of the new town-type innovative city could accelerate toward sprawling urban structure.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.181-188
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• 2003

2000년 말 현재 이동전화기가입자 중 약 $91\%$가 무선 인터넷 가능 단말기를 보유하고 있다. 그러나 이러한 단말기의 보급에도 불구하고 무선인터넷 서비스 이용률은 매우 저조란 실적이다. 여러 가지 이유가 있겠지만 그 중의 하나로서 본 연구는 소비자 특성인 무선인터넷 이용에 미치는 영향에 초점을 맞추었다. 이를 위해 본 연구는 다음과 같은 연구 문제를 설정하였다. 1)무선인터넷 이용에 영향을 미치는 소비자의 인구통계학적 특설변수는 무엇인가? 2) 무선인터넷 단말보유자는 라이프스타일에 따라 어떻게 유형화되는가? 3) 무선인터넷 단말 보유자의 유형별 특성은 무엇이며 무선인터넷 인용에 있어서 어떠한 차이가 존재하는가? 이 문제에 대한 답을 구하기 위해 본 연구에서는 전국의 무선인터넷 단말기 보유자 1500면을 대상으로 일대일 면접방식으로 설문을 실시하였다. 분석결과 인구통계학적인 변수 중에서는 연령과 직업, 결혼여부, 학생, 개인용돈 등인 무선인터넷 이용에 영향을 미치는 것으로 나타났다. 분석결과를 종합적으로 요약해 볼 때 무선인터넷 서비스를 이용하고 있는 소비자들의 인구통계학적인 특징은 학생 중심의 젊은층이었다. 한편 성별이나 가족의 월수입은 무선인터넷 이용여부에 통계적으로 유의란 영향을 미치지 않는 것으로 나타났다. 또한 라이프스타일에 따라 무선인터넷 가능 단말 보유자 집단을 세분화해 본 결과 선구자형, 실용성추구형, 보수추구형, 자기과시형 둥 네 유형으로 분류할 수 있었으며, 집단 간에 무선인터넷 이용에 있어서 유의한 차이가 있음이 나타났다.

• Journal of The Korean Society For Urban Railway
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• v.6 no.4
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• pp.373-381
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• 2018

The floating population that is index to figure out dynamic activities in urban area will be important in urban railway planning, but it is not useful because it is collected by posterior method. This study aims to investigate factors influencing floating population. The floating population data that was collected in Seoul for a month in December 2013 is used as dependent variable, and the negative binomial regression analysis is used in modelling. The number of households, number of employees, number of subway stations, and number of bus lines variables are statistically significant in predicting floating population.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.83-86
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• 2007

비디오에서의 물체 추적은 컴퓨터비젼(computer vision)의 주요 연구 분야로 지능형 로봇, 무인 감시 체제 등의 영역의 핵심 기술로 여겨지고 있다. 본 논문에서는 다중물체추적을 통해 카메라로 부터 입력된 동영상에서 특정 장소를 지나가는 사람들을 추적함으로서, 그 지역에서의 인구의 이동 패턴을 추출하고 자 한다. 물체 추적은 블롭 추적(blob tracking) 방식을 이용하며, 이를 위해 정확한 전경물체 추출, 추출된 이미지 블롭(blob)과 기존 트랙과의 연결, 새로운 물체(사람)의 등장과 퇴장등의 작업을 수행한다. 추적된 물체들이 궤적을 통해, 시간의 변화에 따른 그 지역에서의 인구의 밀도, 주 이동 경로, 방향 등의 변화를 추출한다. 이러한 통계치는 해당 지역의 개발 정책 수립 및 시장성 조사를 위한 2차 데이타로 활용할 수 있다.