• Journal of the Korean Institute of Landscape Architecture
• /
• v.32 no.5
• /
• pp.73-83
• /
• 2004

경관생태지수는 녹지의 이질성(Heterogeneity)을 계량화하기 위하여 제안되고 발전되어 왔다. 지난 수십년간 많은 연구에서 경관생태지수가 광범위하게 사용되어 그 효용성이 인정되었지만, 경관생태지수의 사용에 따른 많은 문제점들이 제기되고 있다. 본 연구의 목적은 경관생태지수 사용에 따른 고려사항과 문제점들을 기존 연구들을 통해 고찰하고, 이를 기초로 적절한 응용방법을 제안하고자 하는 것으로, 지수의 문제점을 내재적인 문제들과 응용상의 문제들로 구분하여 논의하였다. 지수 자체의 내재적인 문제로는 녹지구조와 기능과의 관계, 녹지구조의 측정 및 대표, 그리고 지수들의 불안정성 등을 들 수 있으며, 응용상의 문제점들로는 지수 선택, 스케일 변화와 피복 분류과정에 개입된 문제, 해석상의 오류 등을 들 수 있다. 이러한 문제들을 최소화하는 방안으로는 첫째, 가설에 입각한 연구가 필요하며, 둘째, 측정하고자 하는 녹지의 공간적 특성을 명확히 규정하여야 하고, 셋째, 변위가 예측 가능한 지수를 사용해야 하고, 넷째, GIS나 인공위성 자료의 축척을 변화시키지 말아야 하며, 마지막으로 다섯째, 피복분류 알고리즘을 사용하여 분류상 오류를 최소화해야 한다는 점이다.

• Electronics and Telecommunications Trends
• /
• v.20 no.1 s.91
• /
• pp.167-175
• /
• 2005

본 연구는 현재 도입예정에 있는 차세대 통신 및 방송서비스의 확산가능성에 대하여 잠재적 사용자1,000명을 대상으로 조사한 최근 조사자료를 중심으로 실증분석하였다. 잠재적 사용자의 선택 및 반응함수추정방법은 분석의 객관성과 효율성을 유지하기 위하여 모수적 추정과 반모수적 추정방법을 동시에 사용하여 분석하였다. 본 분석결과를 요약하면 다음과 같다. 먼저, 차세대 통신 및 방송서비스사용자들의 해당 서비스선택반응함수를 분석한 결과 서비스확산은 상당히 느리게 이루어 질 수 있다는 결과를 보여 주었다. 이러한 분석결과는 기존 초고속 및 이동통신서비스 확산에서와 같이 형태의 빠른 확산속도를 보일 것이라는 낙관적 전망견해에 상당한 문제점이 있음을 보여 준다. 둘째, 본 연구의 차세대통신 및 방송서비스확산의 부정적인 분석결과에도 불구하고, 차세대 통신서비스의 성공적 확산에 중요한 요인으로는 서비스제공요금을 낮추고, 젊은 사용자층에게 새로운 서비스의 유용성을 인식시킴으로써 최종서비스선택까지 유도케 할 수 있는 유인 메커니즘 도입전략 개발이 사업성공의 필요조건이 될 수있음을 보여 주었다. 마지막으로 우리나라 통신 및 방송산업환경은 상용화를 준비하는 사업자들이 차세대 통신 및 방송서비스의 성공적 도입을 위하여 시장구조분석 및 시장욕구의 질적 방향분석뿐만 아니라, 그 영향 정도를 수치화하고 계량화하는 시장분석자료를 바탕으로 시장도입 및 전개전략을 개발하는 과정이 절대적으로 필요한 단계가 되었음을 보여 준다. 본 연구결과의 시사점으로 차세대 통신 및 방송서비스의 산업고도화에 대한 면밀한 사전계량시장분석으로 시장전략형성 전환적사고가 해당 서비스제공사업자뿐만 아니라 서비스정책을 수행하는 정부당국자에게도 필요과정요소가 되고 있음을 보여 준다.

• Journal of the Korean Geographical Society
• /
• v.43 no.3
• /
• pp.392-411
• /
• 2008

The purpose of this paper is to develop a method for exploring hotspot patterns of house price volatility where there is a high fluctuation in price and homogeneity of direction of price volatility. These patterns are formed when the majority of householders in an area show an adaptive tendency in their decision making. This paper suggests a method that consists of two analytical parts. The first part uses spatial scan statistics to detect spatial clusters of houses with a positive range of price volatility. The second part utilizes local Moran's I to evaluate the homogeneity of direction of price volatility within each cluster. The method is applied to the areas of Gangnam-Gu, Seocho-Gu, and Songpa-Gu in Seoul from August to November of 2003; the Participatory Government of Korea designated these areas and this period as the most speculative. The results of the analysis show that the area around Gaepo-Dong was as a hotspot before the Government's anti-speculative 10.29 policy in 2003; the house prices in the same area stabilized in October, 2003 and the area was identified as a coldspot in December, 2003. This case study shows that the suggested method enables exploration of hotspot of house price volatility at micro spatial scales which had not been detected by visual analysis.

• The Journal of the Korea Contents Association
• /
• v.19 no.6
• /
• pp.214-221
• /
• 2019

Visual perception information acquired through human eyes contains much information on how to view visual stimuli using eye tracking technology, it is possible to acquire and analyze consumer visual information as quantitative data. These measurements can be used to measure emotions that customers feel unconsciously, and they can be directly collected by numerically quantifying the character's search response through eye tracking. In this study, we traced the character's area of interest (AOI) and found that the average of fixation duration, count, average of visit duration, count, and finally the time to first fixation was analyzed. As a result of analysis, it was found that there were many cognitive processing processes on the face than the character's body, and the visual attention was high. The visual attention of attraction factor has also been able to verify that attraction is being presented as an important factor in determining preferences for characters. Based on the results of this study, further studies of more characters will be conducted and quantitative interpretation methods can be used as basic data for character development and factors to be considered in determining character design.

• Economic and Environmental Geology
• /
• v.41 no.5
• /
• pp.517-526
• /
• 2008

Geological and related thematic maps make various economical and social benefits at many sectors. Recently, development of information managing technology such as GIS, Geographic Information System, enlarges the usage of geological map and information. In this research, using the Analytic Hierarchy Process, we analyzed the weight of attributes which compose value of geological map and information. Results of research are as follows. By the analysis of the weight of attributes, we found that the weight of confidence, upper hierarchy attribute, was above 50%. The weight of convenience and additional effect was about $16%{\sim}30%$ in the geological map, geophysical map, geochemical map and hydrogeologic map. And the consumption of each maps will increase, especially in large scale map.

• Information Systems Review
• /
• v.25 no.3
• /
• pp.59-81
• /
• 2023

Elderly suicide problem has become worse in South Korea. With a rapid aging of the population, the trend of suicide among the elderly is expected to accelerate, preventing elderly suicide has been considered an important societal problem. Thus, we aim to investigate various factors that explain suicidal ideation and to develop a predictive model for suicidal ideation in the context of elderly people in South Korea. To this end, this study contributes to addressing the elderly suicide problem. By using seven-year panel data from the Korea Welfare Panel Survey, we extract various potential causal factors for elderly suicidal ideation based on interpersonal theory of suicide and social disorganization theory. Then a panel logit model was employed to assess the impacts of potential factors on suicidal ideation and deep learning and machine learning algorithms were used to develop a predictive model for suicidal ideation of elderly people. The results of our study provide practical implications for preventing elderly suicide by identifying causal factors of suicidal ideation and a high suicidal risk group of the elderly. This study sheds light on synergy of mixed methodology and provides various academic implications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.143-146
• /
• 2015

A meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. This study will find meaningful mediator variables for criterion variables that affect between pre and post in metabolic syndrome studies, on the basis of the results of a meta-analysis. We reviewed a total of 36 studies related metabolic syndrome published in Korean journals between 2000 and 2015, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study. In this meta-analysis, the path between pre and post in waist circumference showed the biggest effect size (r = .420). The second biggest effect size (r = -.402) was found the path between pre and post in high density lipoprotein cholesterol. By the way, one the smallest effect size (r = .234) was obtained the path between pre and post in diastolic blood pressure. Thus, we present the theoretical and practical implications of these results and discuss the differences between these results through a comparative analysis with previous studies.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2001.11a
• /
• pp.169-186
• /
• 2001

The researches about the general flow of new product development process was achieved in various field. But there was little discussion about the methodologies and tools used in that process. So we suggest new DEA model as the methodology that determines sustainable price and quality attributes and this can substitute econometric hedonic methodology. To make smooth surface composed of quality attributes and price, we use QC-DEA model. Additionally we make AR-QC DEA model by introducing AR to reflect consumer perceptions on quality attributes. AR-QC DEA overcomes the limits of parametric methodology and represents product-specific shadow prices, so it is possible to supply the information about quality attributes and price combination in new product development process and to simulate easily whether new product can exist in the market. Finally by empirical research on notebook computer we can show that AR-QC DEA has the ability to explain market change.

• Journal of Environmental Impact Assessment
• /
• v.31 no.1
• /
• pp.47-62
• /
• 2022

Wind power has been rapidly growing over last decade in the world as well as in South Korea as a feasible renewable energy source. Providing sustainable energy to all while securing environmental sustainability requires evidence based policy making and innovative solutions. Through analysis of 58 cases of South Korean Environmental Impact Assessment (EIA) Report, this paper seeks to identify answers to the following two questions. What are the key characteristics for inland windfarm? Is there a way of measuring environmental sustainability to compare each location to reduce negative environmental impact? Variables related to environmental sustainability of each windfarm case were collected from EIA report and the factor analysis of environmental variables was conducted to calculate the weight for each variable to build environmental sustainability index (ESI) to provide as evidence-based tools for decision making on the location of inland windfarm. 58 cases were categorized as three types 1) Mountain type 2) Ranch Type and 3) Coastal Type depending on their height and degree of naturalness. For analytical research, first, it was successfully calculated environmental sustainability of each windfarm case ranging from 1.04 (#33, Ranch type) to -1.44 (#55, Mountain type). Second, the analysis results showed that ranch type is most environmentally sustainable (Average ESI = 0.4551), followed by coastal type (Ave ESI = 0.3712) and lastly mountain type (Average ESI = -0.3457). These findings are consistent with the previous researches on inland windfarms and provides substantive policy implication on the renewable energy policies.

• The Journal of Society for e-Business Studies
• /
• v.22 no.1
• /
• pp.123-146
• /
• 2017

The information that consumers share in the SNS (Social Networking Service) has a great influence on the purchase of consumers. Therefore, it is necessary to pay attention to new research methodology and advertising strategy using Social Big Data. In this context, the purpose of this study is to quantitatively analyze customer value through Social Big Data. In this study, we analyzed the value structure of consumers for the three smartphone brands through text mining and positive/negative image analysis. Analysis result, it was possible to distinguish the emotional aspects (sensitivity) and rational aspects (rationality) for customer value per brand. In the case of the Galaxy S7 and iPhone 6S, emotional aspects were important before the launch, but the rational aspects was important after release date. On the other hand, in the case of the LG G5, emotional aspects were important before and after launch. We can propose two core advertising strategies based on analyzed consumer value. When developing advertising strategy in the case of the Galaxy S7, there is a need to emphasize the rational aspects of product attributes and differentiated functions. In the case of the LG G5, it is necessary to consider the emotional aspects of happiness, excitement, pleasure, and fun that are felt by using products in advertising strategy. As a result, this study will provide a good standard for actual advertising strategy through consumer value analysis. Advertising strategies are primarily driven by intuition or experience. Therefore, it is important to develop advertising strategies by analyzing consumer value through social big data analysis.