• Korean journal of communication and information
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• v.17
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• pp.37-60
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• 2001

This study attempted to demonstrate the interaction effects between attitudinal frames of nine daily newspapers and community structure in the 1994s Michigan gubernatorial election. It was theoretically guided by framing research and the self-presentation theory of social-cognition perspective and empirically tested with archival data. For the purpose of this study, content analysis of nine statewide daily newspapers was employed in order to provide data on news framing. Data on voting rates for John Engler, winner of the 1994 Michigan Gubernatorial election, in each county of Michigan were used for vote choice while Michigan census data were used for constructing an Index of community structural differentiation. The results indicated that majority compliance frames were slightly more related with vote choice in homogeneous com-unities rather than were majority compliance frames in heterogeneous communities while social identification frames tended to have an influence on vote choice in heterogeneous communities more than did social identification frames in homogeneous communities.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.3
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• pp.49-56
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• 2010

The Genetic Algorithm is one of the population surface modelling tool in the field of urban and environmental research based on the gridded population data. Taking the East-Hwasung area as the case, this study first builds a gridded population data based on the GIS databases as well as municipal population survey data. The study then constructs the attribute values of the explanatory variables by way of GIS tools. The regression model constructed with the same variables is also run as a comparative purpose at the same time. It is shown that the GenAlg output predicted as much consistent and meaningful coefficient estimates for the explanatory variables as the regression model, indicating that it is a very useful interdisciplinary research tool to find optimal solutions in urban problems.

• Journal of the Korean association of regional geographers
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• v.13 no.3
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• pp.290-300
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• 2007

In this study, web document frequency of city place name is analyzed and it is used as the dataset for rank-size analysis. The search keywords are compared in the context of spatial meaning and the different domain corpus is applied. The acquired search results are applied for the further analysis. Firstly, the rank-size analysis is applied to compare the result between population and document frequency. Secondly, in case of correlation analysis, the significant changes are revealed when the spatial criteria for search keywords are increased. In case of corpus, COM, NET, and ORG shows the higher coefficient values. Lastly, the cluster analysis is applied to classify the list of cities that shows the similarity and difference. These analyses have a significant role in representing the rank-size distribution of city names that are reflected on the web documents in the information society.

• Journal of the Korean Geographical Society
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• v.51 no.3
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• pp.381-399
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• 2016

Goesan-gun and Jeungpyeong-gun, Chungcheongbuk-Do have been separated administratively since 2003. Goesan-gun is rural area, and Jeungpyeong-gun is urban area. The purpose of this study is to observe changes after the separation of administrative districts (Goesan-gun and Jeungpyeong-gun, Chungcheongbuk-Do). This study observed changes of Goesan-gun and Jenugpyeong-gun, Chungcheongbuk-Do based on population, the highest land value, employees and location quotient. Population of Goesan-gun has decreased, and that of Jeungpyeong-gun has increased. The highest land value of Jeungpyeong-gun has increased more than that of Goesan-gun. Observation of location quotient, with the location quotient of 2013 as a criterion, showed that manufacturing business and producer service business have developed in Jeungpyeong-gun, while agriculture and customer service business have developed in Goesan-gun. This result is due to the difference between regional characteristic of Goesan-gun and Jeungpyeong-gun.

• The Journal of Bigdata
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• v.8 no.2
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• pp.97-107
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• 2023

Small business owners are relatively likely to be alienated from various benefits caused by the change to a big data/AI-based society. To support them, we would like to detect a hot place based on the floating population to support small business owners' decision-making in the start-up area. Through various studies, it is known that the population size of the region has an important effect on the sales of small business owners. In this study, inland regions were extracted from the Incheon floating population data from January 2019 to June 2022. the Data is consisted of a grid of 50m intervals, central coordinates and the population for each grid are presented, made image structure through imputation to maintain spatial information. Spatial outliers were removed and imputated using LOF and GAM, and temporal outliers were removed and imputated through LOESS. We used ConvLSTM which can take both temporal and spatial characteristics into account as a predictive model, and used AutoEncoder structure, which performs outliers detection based on reconstruction error to define an area with high MAPE as a hot place.

• Proceedings of the Korean Statistical Society Conference
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• 2004.11a
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• pp.271-276
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• 2004

이 논문에서는 유한모집단 분포함수에 대한 추정량들을 소개하고, 이론적인 측면과 경험적인 측면으로 비교하였다 분포함수 추정량은 설계기반 특성을 갖는 추정량과 모형기반 특성을 갖는 추정량으로 구분되며, 각각 설계기반 특성과 모형기반 특성을 갖는다. 수치적인 비교를 위하여 분포함수 추정량들을 2000년 인구주택 총 조사의 서울 가구수와 가구원수 데이터에 적합하여 비교하였다.

• Fire Science and Engineering
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• v.31 no.3
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• pp.119-126
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• 2017

This study is to improve fire-fighter's mental health by examining the relationship between fire-fighter's resilience and PTSD. The research question of the present study are follows. First, is there any relationship between fire-fighter's demographics and PTSD. Second, is there any relationship between fire-fighter's demographics and resilience. Third, is there any relationship between fire-fighter's resilience and PTSD. The instruments for collecting data of the study were KRO-53 and IES-R-K. These tests were administrated to all of the subjects of the study. The results of the study are as follows. First, fire-fighter's demographics except for department have an influence on PTSD. Second, fire-fighter's counselling experience has an influence on resilience. Third, fire-fighter's resilience has an influence on PTSD. Specially, self-regulation of resilience subtypes has an influence on PTSD. From the above results, The study proposed the following; to prevent PTSD, It is necessary to have specific working system, have specific counseling system, consider individual resilience in selecting fire-fighter and placing department.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.59-67
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• 2015

This studying is on the degree of reuse that runs from Seoul Palace Y elderly welfare and general social demographic is to the welfare service factors of the path Restaurant (hygiene, workers, convenience, food, accessibility, environmental, and social relationships), and influence, the process of was to effect on determining on to the mediating effect on the satisfaction with the meals ages overrun 65 years using the path restaurant was applied to the final total of 310 valid samples were subjects. We take advantage of SPSS 19.0, the first study showed that rental housing other all the factors affecting the satisfaction of catering service factor analysis of the demographic characteristics. Showed Secondly, characteristics and service factors, one of the demographic characteristics education, service factors that affect all of the factors identified in the reuse of reclaimed relationship satisfaction and feed results. Third, there are the demographic characteristics and service factors and the relationship of re-verifying the mediating effect of feeding satisfaction results, effects a positive the degree of reuse factor and the employees of the catering service satisfaction. Therefore, continued and investment is outer required the efforts of local governments for quality of service and satisfaction path restaurant you will be looking improving them for ways towards attention improve the multilateral environmental Furthermore Feed.

• Science of Emotion and Sensibility
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• v.19 no.3
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• pp.27-42
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• 2016

The purposes of this study were to investigate the emotional consumption propensity and the preferences for sensibility factors of fabrics(color tone, pattern and texture image), and to analyse the differences according to demographic variables and relationships between emotional consumption propensity and preferences for sensibility factors of fabrics, focusing on male and female consumers in 20's, 30's and 40's. The emotional consumption propensity were classified into symbolic consumption propensity, individual consumption propensity, aesthetic consumption propensity and hedonic consumption propensity. The subjects attached great importance in the order of aesthetic consumption propensity, individual consumption propensity and symbolic consumption propensity. Those factors of emotional consumption propensity showed partially significant difference according to demographic variables. Female consumers preferred various color tones than men did, and preference for light color tone showed significant differences according to gender and occupation of consumers. The preferences for floral pattern showed significant difference according to gender, age, education, occupation and marital status of consumers. The factors of the texture images for the fabrics showed partially significant difference according to demographic variables except education of consumers. There were almost significant relationships between emotional consumption propensity and the preferences for sensibility factors for fabrics.

• Journal of the Korean Regional Science Association
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• v.35 no.4
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• pp.61-73
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• 2019

Urban development and densification have led to the Urban Heat Island Effect, in which the temperature of urban space is higher than the surrounding areas, and the intensity is increasing with climate change. In addition, when the city's air temperature rises in summer, low-income, elderly population, and socially vulnerable people who have health problems lack the ability to cope with the elevated heat environment. Therefore, this study aimed to identify the urban heat island area of Seoul through Hotspot analysis, which is a spatial statistics technique, and explored physical environments, demographic and socioeconomic characteristics of urban heat island effect areas using logistic regression models. This study performed urban heat island hotspot analysis using the average air temperatures of the 423 administrative dongs in Seoul. Analysis results identified that the urban heat islands were concentrated in Jung-gu, Jongno-gu, Yongsan-gu, and Yeongdeungpo-gu. Logistic regression analysis results indicated that urban heat island areas of Seoul were affected by residential floor area ratio, commercial facility floor area ratio, overall floor area ratio, impervious surface ratio, and normalized difference vegetation index(NDVI). In addition, as a result of analyzing the vulnerable area of thermal environment considering the demographic and socioeconomic characteristics of the heat island area, urban heat island areas of Seoul were significantly associated with the proportion of low-income elderly living alone. The result of this study provided useful insights for urban thermal environmental design and policy development that could improve the thermal environment for the socially disadvantaged urban population.