• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.303-303
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• 1999

• Journal of The Korean Digital Architecture Interior Association
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• v.13 no.3
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• pp.41-49
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• 2013

According to the ROK 2010 census, representatives living arrangement are changing from 4 people per household to 2 people. Increasing number of elderly household and single household, the variety of lifestyles there has been a type of family structure. In this study, 1) through a precedent study review and case analysis to deduct representative group of lifestyle of Korean household. 2) Proposing spatial configuration according to the preferred lifestyle. 3) Deducting residential U-services from which specified from "Ubiquitous City Construction Project Operation Guide (2009)" of the korean Ministry of Land, Transport and Maritime Affairs. 4) Deduct highly expected U-service by each of lifestyle. As a result, spatial configuration and U-Services are proposed by changes of lifestyle which is based on ROK 2010 census.

• Journal of the Korean housing association
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• v.13 no.2
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• pp.15-22
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• 2002

This paper aims to analyze the changes in the living arrangements of the elderly in Chejoo-do for the elderly housing supply by using census data. The conclusions are as follows; The rate of living alone and living with spouse only of the elderly have been increasing. The trend in county was higher than that in city. Living alone rate of the elderly of Chejoo-do was higher than that of Korean average. Even in the oldest old, living alone rate has been increasing in Chejoo-do. It is a unique phenomenon in Korea and similar with U.S. In Chejoo-do, it is strongly required to evolve elderly housing by universal design for living alone elderly in county as well as for living alone elderly in city.

• Korea journal of population studies
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• v.17 no.1
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• pp.53-72
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• 1994

The historical study reveals that our ancestors had maintained a system which could produce data on population and households. The main purposes of maintaing the system at that time were taxation and conscription. At the present time, however, there are three major data sources which produce the statistics on pop-ulation and households in Korea : Civil Registration System, Resident Registration System and Popula-tion Census. These three systems are found to have some problems. there are some inherent problems in the regis-tration systems, such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non- sampling erors, such as errors in coverage, respone and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having three data sources, We can find some overlapping problems and difficulties in comparative studies. In the future, these problems should be considered for the improvement of the quality of statistics on population and household.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.256-267
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• 2017

An active research area in computer vision, stereo matching is aimed at obtaining three-dimensional (3D) information from a stereo image pair captured by a stereo camera. To extract accurate 3D information, a number of studies have examined stereo matching algorithms that employ adaptive support weight. Among them, the adaptive census transform (ACT) algorithm has yielded a relatively strong matching capability. The drawbacks of the ACT, however, are that it produces low matching accuracy at the border of an object and is vulnerable to noise. To mitigate these drawbacks, this paper proposes and analyzes the features of an improved stereo matching algorithm that not only enhances matching accuracy but also is also robust to noise. The proposed algorithm, based on the ACT, adopts the truncated absolute difference and the multiple sparse windows method. The experimental results show that compared to the ACT, the proposed algorithm reduces the average error rate of depth maps on Middlebury dataset images by as much as 2% and that is has a strong robustness to noise.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.191-194
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• 2007

본 논문에서는 분산형 환경에 적합한 새로운 의사결정나무 알고리즘을 제안하고 그 실용성을 확인하기 위해 분산형 데이터마이닝 시스템을 구현하였다. 그리고 본 논문에서 구현한 시스템을 평가하기 위해 데이터의 신뢰성이 높은 방대한 양의 미국의 인구통계 데이터(Census bureau database)를 사용하였다. 본 논문에서 구현한 시스템을 이용하여 신뢰성을 테스트하였고 그 결과가 다른 시스템의 알고리즘과 유사한 신뢰성을 나타내었다.

• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.1-10
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• 2015

This study consists of an observation of the changes in management and agricultural production of Shinbuk-eup based on the data from the Agricultural, Forestry & Census Report Survey. The following is a short summary and suggestions of the research. First, taking a look at the farming conditions of Shinbuk-eup, it shows that it is extremely polarized into rice paddies and vegetable cropping. Second, using the Tobit model to analyze the factor of determination of farmable lands of the farmers in Shinbuk-eup, the higher the number of family members, the less the hired work, and the more the experience in farming, have larger farmable lands. Meanwhile, the younger the farmer, their land mass is higher, however, after reaching their threshold age, their lands decrease.

• International Journal of Human Ecology
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• v.9 no.1
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• pp.53-62
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• 2008

This paper examines the changes in housing characteristics occupied by two or more households from 1995-2005, as a replicated follow-up study done by the previous decade of 1985-1995. The data analyzed were based on the Population and Housing Census in 1995, 2000, and 2005 by the Korean National Statistical Office. Results showed decreasing trends in the percentages of housing units occupied by multi-households and of households sharing a housing unit, while the average number of households for a shared housing unit was increasing. Detached dwellings in dongs (neighborhood) including ordinarily single-family detached ones, mainly multi-family houses, were the most often shared with other households even in the trend of the decreasing number of the detached housing. Further research is suggested to focus on housing circumstances of households sharing a detached dwelling in Dongs by the type of detached dwellings.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.11a
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• pp.3-8
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• 2003

Census data are usually provided at an aggregated level. However, the aggregated data are essentially arbitrary geographical areas. The areal units used to report census data have no natural or meaningful geographical identity. Unfortunately, this means that analyses of these area aggregations may be conditional upon the set of zones, which are presented. This effect is known as the modifiable areal unit problem (MAUP) and has two related aspects. First, scale effect is the variation in numerical results that occurs due to the number of zones used in an analysis. Second, results may also differ between different ways of aggregating exactly the same data to the same scale; this may be called the aggregation effect (Openshaw, 1984). This study aims to provide a practical tool for the study of MAUP. I have created a set of 91 areal units based on 280 basic units in Nonhyun-2 dong to solve zoning problem and scale problem. We can easily recognize the importance of areal classification as statistics were different according to areal classification.

• Journal of Preventive Medicine and Public Health
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• v.6 no.1
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• pp.77-79
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• 1973

The Mechanism for sorting out the covariance effect is known as the covariance analysis. The sorting out of regression and correlation effect is an obvious application of the covariance analysis. The result of Do population by age groups (15 ages interval) from 1966 Census and from 1970 Census has been applied to analyzing covariability by the analysis of covariance. The results are as follows. (1) The signicance of the regression of 1970 population on 1966 population is assured as F=116.5 (2) There is a significant difference between mean of each age group. (F=88.1) (3) There is very little evidence of significant heterogeneity of regression between age groups. (F=0.72)