• Archives of design research
• /
• v.14
• /
• pp.141-150
• /
• 1996

In recent years space planning for modern city has been accomplished through scientific high technique and computer supported collaborative work. Relatively human being is treated as a component of the space or whole building and according to the social structure people tend to prefer private space. The necessity of the open space as an active place is emphasized now because the interaction created between users of the space and the nature, surrounding environment can influence on improving quality of outdoor life and giving the place specific identity. In this paper three ways of analyses of components which compose the open space are studied. Especially through the process of analyses derived from differenet areas, the necessity of communication model in collaborative work is proposed.

• Journal of Korean Society for Geospatial Information Science
• /
• v.22 no.4
• /
• pp.21-30
• /
• 2014

Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.

• Land and Housing Review
• /
• v.14 no.2
• /
• pp.35-50
• /
• 2023

The purpose of this study is to identify areas in need of urban renewal by utilizing spatial data and analyzing their types and characteristics. For this, this research employed a kernel density function and K-means cluster analysis with spatial data, through which it sought ways to identify high-demand areas for urban renewal projects. The key findings and implications of the research are summarized as follows. Firstly, this research classified 587 target sites in Seoul based on development density (ratios) and an indicator for aged buildings. Approximately half of these areas were consistent with leading pilot project sites and Accelerated Integration Sites. Secondly, it was observed that residential environments in the designated leading pilot project sites, as decided by public sectors, were relatively poor compared to other areas. Lastly, the target areas for urban renewal were not clearly categorized through statistical analysis. Instead, it was found that categorization should be made depending on the requirements of each project.

• Journal of the Economic Geographical Society of Korea
• /
• v.25 no.1
• /
• pp.61-86
• /
• 2022

This paper analyzes the technology transfer mechanism of companies clustered in a specific economic space from the perspective of absorptive capacity, taking the Daegu automotive parts industry as an example. According to the analysis results, The absorptive capacity of a company was found to be positively related to the supplier, channel, method, and institutional interaction of technology transfer. Low absorptive capacity limits technology transfer by reducing companies' technology search capabilities, while high absorptive capacity gives companies access to technology search and various technology transfer opportunities through formal and informal channels. These results suggest that, in the short term, it is necessary to supplement the search capabilities of companies through preemptive visiting services of local intermediaries for the vitalization of regional technology transfer, while in the long term, a policy approach focusing on enhancing the absorptive capacity of local companies is required. For effective implementation of these policies, a multi-layered governance approach corresponding to each level of companies' absorptive capacities is required in establishing an interface structure that promotes linkage between institutional actors.

• Journal of Gifted/Talented Education
• /
• v.26 no.1
• /
• pp.101-122
• /
• 2016

The purpose of this study is to explore a possibility finding gifted underachievers who have high spatial ability, but low verbal ability in elementary science field. In Korea, because teachers used to refer students' academic achievement only when they recommend gifted students, underachievers used to be excluded. The participants are 5th-grade students in elementary school. In this research, developed teaching materials were given to students to find underachievers. Results of spatial ability test, verbal ability test, science academic achievement, non-verbal test, and interviews about light propagation concept were obtained. By analyzing results of this study, we found that spatial ability is the most important factors to understand light propagation. And there are some features to understand light propagation according to spatial ability. Lastly, this study shows the possibility of non-verbal test to find gifted underachievers with high spatial ability and low verbal ability.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2002.05a
• /
• pp.435-441
• /
• 2002

전력시스템 등, 산업 전반의 많은 분야에 최적화 문제가 산재해 있다. 또한 이러한 최적화 문제를 해결하기 위한 많은 연구가 있었다. 특정 응용에 국한되지 않고 모든 응용에 적용 가능한 메타휴리스틱 알고리즘은 그 중 많은 비중을 차지하고 있으며, 가장 대표적인 방법은 유전알고리즘과 타부 탐색이다. 그러나 최적화 문제에 속하는 많은 문제들이 탐색공간이 방대하고 많은 제약이 존재하는 대규모 최적화 문제로서 기존의 메타휴리스틱 기법들을 그대로 이용해서는 빠른 시간 내에 최적의 해를 찾아내기 힘들다 본 논문에서는 대규모 최적화 문제의 하나인 발전기 기동정지 계획 문제를 해결하기 위하여 유전알고리즘과 타부탐색을 적용하고 그 성능을 분석한다. 그리고 각 방법을 병렬화하여 수행함으로써 병렬화를 통하여 시간상의 이득과 함께 부가 효과로서 집중화와 다각화의 효과를 얻을 수 있음을 보여준다.

• Journal of Korea Planning Association
• /
• v.53 no.7
• /
• pp.87-107
• /
• 2018

With more than 10 million inhabitants, in particular, Seoul, the capital of Korea, has already experienced a number of severe heat wave. To alleviate the potential impacts of heat wave and the vulnerability to heat wave, policy-makers have generally considered the option of heat wave strategies containing adaptation elements. From the perspective of sustainable planning for adaptation to heat wave, the objective of this study is to identify the elements of vulnerability and assess heat wave-vulnerability at the dong level. This study also performs an exploratory investigation of the spatial pattern of vulnerable areas in Seoul to heat wave by applying exploratory spatial data analysis. Then this study attempts to select areas with the relatively highest and lowest level of adaptive capacity to heat wave based on an framework of climate change vulnerability assessment. In our analysis, the adaptive capacity is the relatively highest for Seongsan-2-dong in Mapo and the relatively lowest for Changsin-3-dong in Jongno. This study sheds additional light on the spatial patterns of heat wave-vulnerability and the relationship between adaptive capacity and heat wave.

• 한국공간정보시스템학회:학술대회논문집
• /
• 2007.06a
• /
• pp.37-42
• /
• 2007

이 연구는 u-City의 성공적 조성을 위해 u-서비스 공급자 측면과 수요자 측면의 요구를 충족할 수 있는 u-서비스 우선순위 선정에 관한 체계적 연구의 필요성에서 시작되었다. u-서비스 우선순위 모형개발을 위해 선행 연구를 토대로 수요자와 공급자의 서비스 결정 요인을 탐색적으로 도출하고, 전문가와의 브레인스토밍을 통해 u-서비스 결정의 확정적 요인을 도출하였다. 도출된 요인들을 계층분석(AHP)모형으로 설정하고, 1차 전문가 설문조사를 통해 요인별 가중치와 우선순위를 도출함으로써 공급자와 수요자를 고려한 u-서비스 우선순위 선정 모형을 제시하였다. 개발된 모형을 바탕으로 2차 전문가 설문조사를 통해 u-지역정보화에서 제시한 대구지역의 특화서비스를 평가하였다. 평가 결과 대구지역은 지역물류 지원서비스, 시각장애인 길안내 서비스, u-텔레매틱스 서비스가 상위권을 차지한 반면, u-지역정보화에서 제시한 안전방재지원서비스와 산업특화거리 등의 서비스는 중위권을 차지하고 있어 공급자 위주의 u-서비스 선정과는 차별성을 보였다. 개발된 u-서비스 우선순위선정 모형은 u-서비스 제공 및 사용의도에 기반한 모형으로 u-서비스 우선순위 선정을 체계적으로 지원할 수 있어 향후 성공적 u-City 조성에 기여할 수 있을 것이다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.30 no.2
• /
• pp.125-134
• /
• 2012

In this paper, we propose a method to analyze M:N corresponding relations in semantic matching, especially focusing on feature class matching. Similarities between any class pairs are measured by spatial objects which coexist in the class pairs, and corresponding classes are obtained by clustering with these pairwise similarities. We applied a graph embedding method, which constructs a global configuration of each class in a low-dimensional Euclidean space while preserving the above pairwise similarities, so that the distances between the embedded classes are proportional to the overall degree of similarity on the edge paths in the graph. Thus, the clustering problem could be solved by employing a general clustering algorithm with the embedded coordinates. We applied the proposed method to polygon object layers in a topographic map and land parcel categories in a cadastral map of Suwon area and evaluated the results. F-measures of the detected class pairs were analyzed to validate the results. And some class pairs which would not detected by analysis on nominal class names were detected by the proposed method.

• Information Systems Review
• /
• v.26 no.2
• /
• pp.205-221
• /
• 2024

In June 2023, the term "spatial computing" began gaining recognition among the public with Apple's Vision Pro announcement, and interest surged exponentially after its official release in February 2024. With the market opening up, there's a need to analyze public perception for sustainable growth of Spatial Computing and provide evidence-based strategies for industry and government response. This study explores domestic public perception of Spatial Computing using various text mining techniques and seeks strategic directions for successful market penetration based on the analysis. Significantly, the study contributes by leading research on Spatial Computing, proposing new research methodologies, and offering strategic and policy directions for stakeholders.