• 인간식물환경학회지
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• 제24권5호
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• pp.529-544
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• 2021

Background and objective: A great deal of previous research has highlighted the value of educational and cultural facilities embedded in housing prices, by taking a large spatial area as the focus, such as the city or district level. However, few studies have investigated the extent to which educational and cultural facilities influence the formation of housing prices from an accessibility perspective. This study aims to identify the value of educational and cultural facilities embedded in the housing prices in Seoul Metropolitan City with a focus on the concept of the residents' neighbourhood and accessibility. Methods: To this end, this research used a spatial regression model with educational and cultural facilities as the independent variables and housing prices as the dependent variable. The model assessed the accessibility of cultural and educational facilities by considering geographic effects. Results: The findings are as follows. First, the spatial error model was found to be the best fit for multi-unit housing, while the spatial lag model was more appropriate for single-unit housing and apartments. Second, private educational facilities and art museums had positive effects on single- and multi-unit housing prices, while historical sites had a negative effect. Finally, private educational facilities positively influenced apartment prices, whereas public libraries and urban park areas had a negative effect. Conclusion: These findings indicate that the accessibility of educational and cultural facilities reflects residents' preferences and needs, which will ultimately influence housing prices.

• 한국산학기술학회논문지
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• 제17권11호
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• pp.584-594
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• 2016

본 연구는 생태학적 관점에서 노인이 생활하고 있는 지역의 경제 사회적 요인이 노인의 자살생각에 실제 영향을 미치는지 실증적으로 분석한 것이다. 분석 자료는 미시와 거시 데이터로 구분하여 미시 데이터는 "2014년도 노인실태조사" 10,248사례가 분석에 사용되었다. 거시데이터는 국가통계포털(KOSIS)에서 제공되는 각 지역별 사회적, 경제적 상황을 나타내는 지표들을 선별, 16개 시도의 2014년도 지역별 경제수준과 자연재해 및 보건과 노인의 여가, 복지 수준을 나타내는 6개 지표가 활용되었다. 분석방법은 분석단위가 개인차원과 지역차원의 2수준 이상의 위계적 특성과 이질성을 고려하여 위계적(다층) 분석 모형(Hierarchical or multi-level analysis model)을 적용하였다. 분석 결과, 노인의 자살생각 여부에는 지역의 생활물가지수와 국가기초수급률, 자연재해피해규모, 그리고 노인인구 대비 노인 대상의 여가 및 복지시설 수가 통계적으로 유의미한 영향을 미치는 것으로 분석되었다. 이상의 분석 결과들을 기반으로 지역사회에서는 자살생각을 증가시키는 주요 요인들을 주목하여 지역차원의 예방과 관리할 수 있는 시스템을 갖추고 노력이 강구 되어야 한다.

• 국토계획
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• 제54권5호
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• pp.129-138
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• 2019

This study aims to empirically examine the relationship between building energy consumption and building and local factors in Seoul. Building energy issue is an important topic for low carbon and eco-friendly city development. Building physical, socio-economic and environmental factors effect to increasing or decreasing energy consumption. However, there are different characteristic in each area, and this kind of variable has a hierarchical structure. The multi-level model was used to consider the hierarchical structure of the variables. In this study, a multi-level model was applied to confirm the difference between areas. Spatial area is Seoul, Korea and the temporal scope is August, summer season. As the result, in Model 1 (Null Model), ICC is 0.817. This shows that the energy consumption differs by 8.174% due to factors at the Dong level. Model 2 (Random Intercept Model) suggests that building's physical factors and Average age, Household size and Land price in Dong level have significant effects on Building energy consumption. In Model 3 (Random Coefficient Model), random effect variables have intercepts and slopes to vary across groups. This study provides a perspective for policy makers that the building energy reduction policies to be applied for buildings should be differently applied on area. Furthermore, not only physical factors but also socio-economic and environmental factors are important when making energy reduction policy.

• ETRI Journal
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• 제38권5호
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• pp.868-878
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• 2016

A multi-screen environment provides a new opportunity for digital signage applications, where various irregularly shaped screens are employed as an effective means for advertisements and information. A formation method applicable to numerous irregularly shaped screens is proposed to provide a new perspective on digital signage applications. The crucial part of the proposed method comes from the geometric sensing of each screen and the formation of a virtual screen where geometrically aligned content extraction and encoding are employed for content transmission to each screen. In addition, a software-based synchronization method for the proposed system is proposed to address the frame-level synchronization between screens. The experimental results of the proposed method show an improved performance of the frame-level synchronization, where the inconsistency between frames is not identified.

• 한국정책학회보
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• 제23권4호
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• pp.179-209
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• 2014

사회-기술 시스템의 근본적 변화를 다루는 전환연구가, 지속가능한 발전에 대한 논의 확대를 배경으로 정책적 활용의 폭을 넓혀가고 있다. 본 논문의 목적은 대표적인 전환이론인 다층적 관점, 전환관리, 전략적 니치관리 및 기술혁신시스템 이론의 특징과 정책적 함의를 고찰하고, 이를 전환정책 설계와 운영과정에 활용하기 위한 통합적 분석틀을 제시하는 것이다. 각 전환이론은 서로 다른 연구적 입장을 견지하고 있으나, 사회-기술 시스템의 근본적 변화를 동태적으로 분석하고 있다는 점에서 상호보완적이다. 따라서 전환현상이 복잡해지고 전환에 영향을 미치는 변수가 확대될수록, 각 이론의 연계 및 통합적 활용에 대한 필요성이 높아지고 있다. 최근 국내에서도 전환이론을 혁신정책 및 과학기술정책에 접목하기 위한 연구가 진행되고 있으며, 전환적 사고가 반영된 정책도 등장하고 있다. 기후변화, 에너지 자원의 활용 등 우리 사회와 정부가 대응해야 할 지속가능성 이슈가 증가할수록, 효과적인 전환정책의 설계와 운영에 대한 필요성은 증가하게 된다. 본 논문은 개별 전환이론에 대한 비판적 고찰을 토대로 통합적 전환정책 분석틀을 도출하고, 우리나라의 스마트그리드 정책사례에 예시적으로 적용하여 분석한 결과를 제시한다.

• Industrial Engineering and Management Systems
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• 제14권4호
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• pp.347-371
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• 2015

A hybrid procedure based on multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) is proposed to evaluate the relative efficiency of customer services in bank branches. First, a three-stage process including sub-processes such as customer expectations, customer satisfaction, and customer loyalty, is defined to model the banking customer services. Then, fulfillment of customer expectations, customer loyalty level, and the customer satisfaction degree are measured and quantified through a multi-dimensional questionnaire based on customers' perceptions analysis and MUSA method, respectively. The customer services scores and the other criteria such as mean of employee evaluation score, operation costs, assets, deposits, loans, number of accounts are considered in network three-stage DEA model. The proposed NDEA model is formed based on multipliers perspective, output-oriented, and constant return to scale assumptions. The proposed NDEA model quantifies and assesses the total efficiency of main process and assigns the efficiency to customer expectations, customer satisfactions, and customer loyalties sub-processes in bank branches. The whole procedure is applied on 30 bank branches in IRAN. The proposed approach can be used in other organizations such as airports, airline agencies, urban transportation systems, railway organizations, chain stores, chain restaurants, public libraries, and entertainment centers.

• 한국정보시스템학회지:정보시스템연구
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• 제23권3호
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• pp.99-125
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• 2014

Internet environment and innovative ICT(information and communication technology) have brought about big changes to our lifestyle and industrial structure. In spite of the convenience of Internet, various cyber incidents such as malicious code infection, personal information leakage, smishing(sms + phishing), and pharming have frequently occurred. Information security must be recognized as a key and compulsory element for surviving in a global economy. Strategic roles of information security have recently been increasing, but effective implementation of information security is still a major challenge to organizations. Our study examines the influencing factors of information security and investigates the causal relationship between information security maturity level and organizational performance through an empirical survey. According to the results of our study, personal, organizational, technical, and social factors affect organizations's information security maturity level altogether. This result suggests that when dealing with security issues, the holistic and multi-disciplinary approaches should be required. In addition, there is a causal relationship between information security maturity level and organizational performance, and organizations aim to establish the efficient and effective ways to enhance information security maturity level on the basis of the results of this study.

• Journal of Computing Science and Engineering
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• 제5권3호
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• pp.183-196
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• 2011

There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

• 보건교육건강증진학회지
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• 제12권2호
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• pp.146-161
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• 1995

This study is an effort to bring our attention to social dependence on alcohol, focusing on previous studies of drinking behaviors. Although drinking behavior and problems must be understood in a biopsychosocial framework, a certain aspect is often ignored in alcohol research. A few attention has been paid to social aspect of alcohol abuse or dependence. Social processes of drinking behavior deserve to have same attention as other aspects, psychological and physical aspects of the behavior. Literature show that the interdependence among group members exists to regulate individual's drinking behavior. Such social interactions tend to control drinking level for individual in terms of amounts, frequency, and preference. The drinking level tends to be dependent on desires for heavy drinkers, ignoring variabilities of individual's sensitivity to alcohol. However, such a heavy-oriented tendency in drinking behavior may have different patterns which are function of normative orientation of alcohol. negotiation among group members, and ethnoreligious characteristics. Perspectives from conflict tradition and symbolic interactionism are welcomed to illuminate multi-dimentional aspects of social dependence. Policy implication were discussed from public health perspective.

• International Journal of Advanced Culture Technology
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• 제6권3호
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• pp.37-43
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• 2018

This paper measures and maps multi-dimensional residential segregation of immigrants in Seoul metropolitan area at city/county/district level as well as town level, thereby adding to our understanding of the urban structure and its spatial distribution impacted by immigration. The perspective offered here focuses on the segregation spurred by transnational migrants and their urban settlement. By drawing population data for 79 city/county/district administrative units from the Korea Immigration Service, residential segregation of immigrants in Seoul metropolitan area is measured based on Massey & Denton's four segregation indices: evenness, exposure, concentration and clustering. The empirical findings suggest that Seoul metropolitan area is highly segregated and the areas showing hyper-segregation appear in Seoul city and Gyeonggi province. As immigrants are foreseen to continue to increase in the future, this research contributes both empirically and theoretically to preliminary research on spatial segregation of immigrants by showing how ethnic places are segregated spatially through ethnic networks that support the geographic concentration of minority groups.