• International Commerce and Information Review
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• v.16 no.4
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• pp.227-243
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• 2014

Vietnam has a population of about 1% of the current annual growth rate of young population is more than half of the total population has the potential to be a total purchase. Vietnam as consumers to choose Korea cosmetics, attach importance to quality, reliability, origin and prefer excellent to high quality, functional and be relieved as the brand of the developed countries. Korean cosmetics are getting very popular and it is among the five largest exporter of cosmetics to Vietnam and raising the name proudly in current. In this study, the north of Vietnam (Ha noi, Bac Ninh, Hai Duong, Hai Phong, Phu Tho), a resident of 20-60 as consumers. Survey research method has adopted the Internet and Survey period was from September 2013 to May 2014 was performed. As a result, the total 163 respondents was obtained. The study provides useful information for people hopes to advance through the Vietnam or companies, entered the cosmetics.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.2
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• pp.1-12
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• 2008

This paper identifies public transit-poors and derives spatial characteristics of the poors' distribution in an urban area by utilizing buffering analysis of geographic information systems and remote sensing techniques in the case of Daegu metropolitan city. Since special attention is given to elderlies, this study assigns three hundred meter buffer from bus/subway station as service boundary for elderlies. The results of this study tell us that 1) the transit-poors are concentrated on suburban and rural regions, 2) high proportions of the transit poors are elderlies with spatial variations in many regions, 3) the main housing type of the transit-poors is single detached house. We expect that this study can contribute to build an effective policy-making by showing essential technical processes and methods in identifying policy-need groups and their characteristics of spatial distribution.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.229-248
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• 2017

지속적으로 산업시장이 고도화되면서 산업시장분석 역시 빅데이터 수준의 데이터 증가에 따라 분석 업무의 효율성 재고가 더욱 요구되고 있으며, 분석 관점역시 차원이 증가하며 분석 방법론의 새로운 적용 필요성이 대두되고 있다. 본 연구에서는 활용 가능한 공개데이터베이스의 탐색, 공개데이터 베이스 기반의 산업분석 사례 연구의 분석, 이슈의 선정 및 이슈 관련 산업의 선정, 선정된 이슈와 선정된 산업의 시장분석 주요 주제 파악, 해당 산업의 선정된 분석주제 분석을 위한 영향요인 탐색을 수행하였다. 또한 비공개 데이터를 활용하여 실제 이슈와 관련된 산업의 영향요인을 심층적으로 분석하여 관련 결과를 비교하였다. 이러한 목적에 따라 최근 정치사회적으로 이슈가 되었던 국내 사드(THHAD, 종말고고도지역방어) 배치로 인한 중국의 정치경제적 보복조치로 국내 화장품 산업의 대(對) 중국 수출에 대한 영향을 파악하기 위해 공개 데이터베이스에 기반한 주요 요인을 탐색하고 관련 요인을 파악하였다. 분석 결과 중국의 GDP 대비 재화 및 서비스 수입 비중, 상품 수입액, 인구 15-64세 여성 비중, 도시인구 비중이 지표로써 유의한 것으로 확인되었으며, 이외에 상업서비스 수입 대비 여행서비스비율도 유의미한 지표로 추정되었다. 그러나 사드 보복에 따른 화장품 산업의 중국 수출 규모 심층 연구 결과 중국의 사드 보복에 따른 제도적 조치는 없었으며, 수출 실적 상에서 한국 화장품에 대한 일시적 기간에(2017년 4월, 5월) 수출이 급감하였으며, 이는 한국 화장품에 대한 중국 소비자의 구매의향 및 구매율이 실직적으로 낮아진 것으로 추정되나 6월 이후 중국 화장품 수출 실적은 전년대비 다시 10%이상 성장하면서 지속적인 성장을 이루고 있는 것으로 확인된다.

• Korea journal of population studies
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• v.30 no.2
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• pp.147-168
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• 2007

The objective of this study is to examine the studies of foreign workers in Korea at a level of meta-analysis focusing on their subjects and methodology. Over the last 15 years, studies of foreign workers have diversified subjects and refined methodology reflecting major characteristics of migration patterns including a rapid increase in number, large populations of illegal sojourners, a majority low-skilled young male workers from less developed countries, and an active role of migrant-support NGOs. Nevertheless, the studies have shown problems such as a higher ratio of macroscopic discussions, overemphasis on social problematic issues and a tendency towards descriptive analysis. Methodologically, they have also revealed an inactive use of empirical and quantitative data, lack of representativeness of sample and disregard of an importance of language in the study of foreigners. Based on the analysis, this study proposes strategies to enhance researches of foreign workers in Korea.

• Korean Journal of Remote Sensing
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• v.16 no.1
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• pp.1-11
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• 2000

Multi-temporal data have been used frequently for analyzing dynamic characteristics of ecological environment. Little research, however, shows the characteristics and problems of the analysis of continental- or global-scale, multi-temporal satellite data. This research investigated the characteristics of large-area, multi-temporal data analysis and the problems of phenological difference of ground vegetation and scarcity of training data for a long term period. This research suggested a latitudinal image segmentation method and an invariant pixel method. As an application, the image segmentation and invariant pixel methods were applied to a set of AVHRR data covering most part of Asia from 1982 to 1993. Fuzzy classification results showed the decrease of forests and the increase of croplands at densely populated areas, however an opposite trend was detected at sparsely populated or depopulated areas.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.357-359
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• 2022

The market for eco-friendly food materials by online distribution is rapidly growing due to major environmental pollution such as air, soil, and water quality, and radical changes in living patterns caused by COVID-19. In addition, because of the aging population and the decrease in agricultural-related population due to social structural changes, aquaponics is emerging as a system that can solve problems such as independence of old economic activities, environmental protection, and securing healthy and safe food. This paper aims to design an intelligent plant growth measurement system among intelligent aquaponics production management modules for optimal growth environment derivation and quantitative production prediction by converging various ICT technologies into existing aquaponics systems. In particular, the focus is on designing systems suitable for production sites that do not have high-performance processing resources, and we propose a module configuration plan for production environments and training data and prediction systems.

• Journal of the Korean Regional Science Association
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• v.39 no.1
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• pp.53-66
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• 2023

Due to COVID-19, the external activities of urban residents have greatly shrunk, causing a lot of damage to the commercial district, such as a decrease in population and sales. The downturn in commercial districts means the collapse of the infrastructure of the national economy, and can have serious side effects on the local economy and individual lives. Therefore, it is necessary to look at the alley commercial area, which is closely related to the national local economy, and pay attention to the damage and stagnation of the alley commercial area where small business owners are concentrated. The purpose of this study is to classify alley commercial districts into growth commercial districts and decline commercial districts by using commercial sales time series data and DTW time series group analysis for the pre- and post-COVID-19 period. The main findings of the study are as follows. First, using the time series data on commercial sales before and after COVID-19, the alley commercial districts were divided into growth commercial districts and decline commercial districts, and it was confirmed that the distribution of growth commercial districts and decline commercial districts was regionally different. Therefore, it is necessary to actively manage commercial districts in areas where many declining commercial districts are distributed, and it is required to prepare policies for each region in consideration of the spatial distribution of declining commercial districts. Second, during the COVID-19 period, face-to-face essential industries, density of guest facilities, and population density negatively affected the sustainability of commercial districts, which is the opposite of previous studies. This is the result of empirically confirming the specificity of the COVID-19 period and the negative effects of the integrated economy, and can be used as basic data for effective commercial district management and policy preparation in the event of a national disaster in the future. Third, the characteristics of the background of the commercial district had a significant effect on the sustainability of the commercial district, and the negative effect of the attracting facilities inducing population concentration in the background area was found. This suggests that it is necessary to consider the characteristics of the background as well as the inside of the commercial district when establishing policies to revitalize the commercial district and support small business owners in a national disaster situation.

• Korean Journal of Social Welfare
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• v.67 no.2
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• pp.61-84
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• 2015

The purpose of this study was to develop the Post-bereavement Growth Inventory(PBGI) for the elderly and to evaluate its validity. The items for developing PBGI were compiled from a literature search, content validity review, and a preliminary survey. A main survey of 308 widowed persons(aged 60+) was conducted. The results were as follows. First, an exploratory factor analysis revealed six factors of the PBGI. The results of the confirmatory factor analysis supported a five-factor structure for the final 24 scale items of scale. Second, in terms of concurrent validity, the PGBI compared favorably with the "Personal Growth" scale from The Hogan Grief Reaction Checklist (HGRC: Hogan and Schimdt, 2001). Third, the results of contrast group validity tests demonstrated that the group scoring in the upper 30% on the scales of Psychological Well-being (PWB, Ryff and Keyes, 1995) and the Grief Reaction Inventory (GRI: Remondet and Hansson, 1987) showed a significantly higher degree of post-bereavement growth (PBG) than the group scoring in the lower 30%. Fourth, Cronbach's ${\alpha}$ values for the five factors were between .649-.856 and .907 overall, indicating high internal consistency. Finally, education had the most significant influence on PBG. All results indicated the high validity of the PBGI. The findings from this study could provide the rationale for practical interventions from a growth-oriented perspective for widowed persons, as well as an objective assessment tool for practitioners in clinical areas.

• Journal of Nutrition and Health
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• v.33 no.1
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• pp.86-101
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• 2000

Various kinds of living circumstances are making population structure of Korean changed. That is, number of the children is decreased and that of the aged is increased. It is predicted that population of the children and the aged will be almost same until 2020. With above, as the expectation of the aged on healthy living might be increased, some special programs for the aged will be needed strongly. At this point, Korean aged population might be economically poor, comparing with other generation. In general, economic factor affects the subjective living-satisfaction and health status of them. Moreover, educational status, household shape and family tieing also affect their health status. According to the foreign articles, health status of the aged might be related to income, educational status, job, employed or/not, marital status, family structure, sex, and childhood condition. decrease of the income or unemployment could make the death rate of the aged higher. During childhood, discordance among the family might affect their health status after. IGUR is also important factor to affect the adulthood health. Positive life style of the aged would lessen their unequality of the health among them. Nutritional status of the Korean aged population might be indicated under the nutritional recommendation. It is affected by their income, education level, social class, and residing place. (Korean J Nutrition 33(1) : 86-101, 2000)

• Journal of the Korean association of regional geographers
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• v.7 no.3
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• pp.107-120
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• 2001

This study is concerned with providing a reliable procedure of calibrating a set of places specific distance parameters and with applying it to U.S. inter-State migration flows between 1985 and 1900. It attempts to conform to recent advances in quantitative geography that are characterized by an integration of ESDA(exploratory spatial data analysis) and local statistics. ESDA aims to detect the spatial clustering and heterogeneity by visualizing and exploring spatial patterns. A local statistic is defined as a statistically processed value given to each location as opposed to a global statistic that only captures an average trend across a whole study region. Whereas a global distance parameter estimates an averaged level of the friction of distance, place-specific distance parameters calibrate spatially varying effects of distance. It is presented that a poisson regression with an adequately specified design matrix yields a set of either origin-or destination-specific distance parameters. A case study demonstrates that the proposed model is a reliable device of measuring a spatial dimension of migration, and that place-specific distance parameters are spatially heterogeneous as well as spatially clustered.