• Journal of Environmental Impact Assessment
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• v.33 no.5
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• pp.187-203
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• 2024

PM_2.5, a type of fine particulate matter, poses serious health risks. Existing pollution management policies and research have generally focused on high-concentration areas. However, this approach has limitations as it does not adequately account for regional characteristics and varying levels of vulnerability, leading to an incomplete reflection of actual risks in specific areas. This study analyzed 229 administrative districts to develop a vulnerability index by comprehensively evaluating PM_2.5 exposure, sensitivity, and adaptive capacity. Using data from 2019, the index was calculated through normalization and entropy weighting methods, and spatial patterns of PM_2.5 vulnerability were examined through LISA and K-means clustering analysis. The findings reveal that the distribution of PM_2.5-vulnerable areas shows distinct patterns within urban settings, which were classified into four distinct types, each characterized by different urban features. This suggests a need for region-specific dust reduction policies. This study contributes to a better understanding of the spatial patterns of PM_2.5 vulnerability and aims to support the development of more effective policy approaches.

• Journal of Industrial Convergence
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• v.22 no.10
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• pp.37-45
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• 2024

This study aims to compare and analyze the functionality and efficiency of 3D generation AI platforms to evaluate their practical applicability in the 3D content creation process and suggest improvement directions. A total of nine platforms were researched using search, and four platforms were selected based on their utilization of the latest technology, compatibility, and user accessibility. We used the same prompts to create 3D objects on each platform and analyzed the results, focusing on whether they were customizable, beneficial for creating immersive content, efficient in production, free to test, or good value for money. The results showed that Meshy and Tripo performed well with fast generation speeds and efficient polygon optimization, while Spline offered a wide range of media application capabilities but was limited in quality. We found that different 3D generation AI platforms are suitable for different production pipelines and user needs. This study provides practitioners interested in 3D content creation with a practical guide for platform selection and provides insights into the future direction of 3D generative AI technology, which will contribute to future research and industrial applications.

• Journal of Distribution Science
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• v.10 no.5
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• pp.37-44
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• 2012

In this paper, we investigate several factors that affect the locational decision of discount stores by using previous studies on the marketing area and the location of commercial facilities. We selected 21 primary variables that are expected to influence the decision of store location and, by factor analysis, grouped them into five underlying factors. Among these, the demographic factor, which shows the potential purchasing power level, had the greatest impact on the locational decision for the store. However, we found individual stores positioned according to unique locational characteristics in addition to the demographic factor. It means that we have to additionally consider if the vicinity of the market is based on any physical properties. Many previous studies proposed four decision factors for store location: the economic factor, the demographic factor, the land utilization factor, and traffic factor. However, the fivefold factors-our distinctive contribution-are more concrete and persuasive according to Korean reality. We show that location preference is based on the following criteria: (1) the area is densely populated, (2) houses stand close together, (3) residents have a high income level, (4) road traffic is developed and easy to access, and (5) public transportation is well developed. The demographic factor has the greatest impact on the location of a discount store. The number of households has a greater relevance to the demographic factor than does the individual consumer. Second, discount stores relatively prefer places where houses are located close together because such places offer easy access to the market. Third, a place whose residents have a high income level will be preferred, with its large cars and excellent traffic conditions. Fourth, a location would be highly rated if the roads around commercial facilities are well developed and their accessibility is good. Finally, discount stores must be located close to bus stops because female consumers, including housewives-the most important customers-evaluate stores based on distance. In this research, the variable of consumer attitude and preference was excluded, and the location factors of discount stores were analyzed according to a microscopic view through physical spatial data. In the future, the opening of new discount stores based on the five factors indicated above will require a comparatively shorter time from the first project feasibility analysis. In addition, the result of our study can be applied to the field of public policy for constructing and attracting large-scale distribution facilities.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.4
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• pp.335-349
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• 2018

This study analyzes the effect of the changes in traffic environments such as transportation speeds on the time-distance accessibility for the public transportation passengers. To do this, we use passenger transaction databases of the Seoul metropolitan public transportation system: one week for each of the three years (2011, 2013, and 2015). These big data contain the information about time and space on the traffic trajectories of every passenger. In this study, the time-distances of links between subway stations and bus stops of the public transportation system at each time are calculated based on the actual travel time extracted from the traffic-card transaction database. The changes in the time-distance accessibility of the integrated transportation network from the experimental results can be summarized in two aspects. First, the accessibility tends to decline as the year goes by. This is because the transportation network becomes more complicated and then the average moving speed of the vehicles is lowered. Second, the accessibility tends to increase on the weekend in the analysis of accessibility changes by day. This tendency is because the bus speeds on bus routes on the weekend are faster than other days. In order to analyze the accessibility changes, we illustrate graphs of the vehicle speeds and the numbers of passengers by year and day.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.2
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• pp.149-156
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• 2012

Support vector machines (SVMs) are well known for their pattern recognition capability, but proper care should be taken to alleviate their inherent implementation cost resulting from high computational intensity and memory requirement, especially in embedded systems where only limited resources are available. Since the memory requirement determined by the dimensionality and the number of support vectors is generally too high for a cache in embedded systems to accomodate, frequent accesses to the main memory occur inevitably whenever the cache is not able to provide requested data to the processor. These frequent accesses to the main memory result in overall performance degradation and increased energy consumption because a memory access typically takes longer and consumes more energy than a cache access or a register access. In this paper, we propose a technique that reduces the number of main memory accesses by optimizing the data access pattern of the SVM-based classifier in such a way that the temporal locality of the accesses increases, fully utilizing data loaded into the processor chip. With experiments, we confirm the enhancement made by the proposed technique in terms of the number of memory accesses, overall execution time, and energy consumption.

• Journal of Cadastre & Land InformatiX
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• v.51 no.1
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• pp.97-110
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• 2021

This study estimated the delay factor, which is the ratio of travel time at the speed limit and travel time at the actual speed using real-time traffic information in Seoul. The actual travel speed on the road was lower than the maximum speed of the road and the travel speed was the slowest during the rush hour. As a result of accessibility analysis based on travel speed during the rush hour, the travel time at the actual speed was 37.49 minutes on average. However, the travel time at the speed limit was 15.70 minutes on average. This result indicated that the travel time at the actual speed is 2.4 times longer than that at the speed limit. In addition, this study proposedly defined the delay factor as the ratio of accessibility by the speed limit and accessibility to actual travel speed. As a result of delay factor analysis, the delay factor of Seoul was 2.44. The results by the administrative district showed that the delay factor in the north part areas of the Han River is higher than her south part areas. Analysis results after applying the relationship between road density and traffic volume showed that as the traffic volume with road density increased, the delay factor decreased. These results indicated that it could not be said that heavy traffic caused longer travel time. Therefore, follow-up research is needed based on more detailed information such as road system shape, road width, and signal system for finding the exact cause of increased travel time.

• Land and Housing Review
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• v.5 no.1
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• pp.25-34
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• 2014

This study starts from the fact that we need residential complex for the purpose of public interests, rather than for profits, and find a new perspective on the concept of public-oriented residential complex in the cities that had slow growth. In this study, we 1) propose a new concept of the residential complex that can vitalize regional communities and maintain the interest of the public : 'functional-mix', 'social-mix', 'spatial-mix', 2) produce a model simulation based on the development principles including development direction, types of development, and design guidelines, ; six development principles(goal, concept, development type, spatial structure, space element, spatial hierarchy), diversity of housing types, facilities that can vitalize and contribute the regional communities 3) propose practical methods that can realize and promote the proposed concept and model simulation. ; need to amend the housing construction Law.

• Tunnel and Underground Space
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• v.19 no.1
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• pp.1-10
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• 2009

Site characterization for structural stability in rock masses mainly involves the collection of joint property data, and in the current practice, much of this data is collected by hand directly at exposed slopes and outcrops. There are many issues with the collection of this data in the field, including issues of safety, slope access, field time, lack of data quantity, reusability of data and human bias. It is shown that information on joint orientation, spacing and roughness in rock masses, can be automatically extracted from LIDAR (light detection and ranging) point floods using the currently available Split-FX point cloud processing software, thereby reducing processing time, safety and human bias issues.

• Journal of Korean Library and Information Science Society
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• v.38 no.3
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• pp.25-51
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• 2007

The purpose of this study is to suggest the characteristics of a cooperative storage facility for academic libraries in Korea. For this facility, discussed are how to select a site, build physical facilities, recruit participating organizations, prepare for selection criteria and ownership of resources, confirm service policies, and implement a integrated library management and access system. It is emphasized that a cooperative storage facility for academic libraries in Korea should ensure the optimum use of space on campus, preserve "the last copy" which is not frequently used, but still has scholarly values, and extend the effective and efficient resource sharing among participating libraries.

• Spatial Information Research
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• v.3 no.2
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• pp.161-177
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• 1995

본 연구의 목적은 도시공원 조성시 물리.생태적 여건과 이용을 고려해 건강한 도시공원을 조성하는데 기초자료를 제공하는데 있다. 따라서 본 연구는 서울 서초구 양재시민의 숲(공원)을 대상으로 조성된 공원의 물리.생태적 여건과 이용의 관련성을 조사해 나타난 문제들을 GIS와 설문조사를 통해 분석했다. 조사항목으로 과거토지이용, 현토지이용(성토지역, 동선, 나지, 시설물), 식생(수고, 지하고, 최근색재지, 유실수, 불량식재지), 배수상태, 야간조명, 소음, 이용현황(이용밀도, 이용행태, 접근동선) 등이며 수고+소음, 지하고+이용밀도, 과거토지이용+배수불량, 이용행태+접근동선 등을 중첩해 문제점을 분석했다. 그 결과 본 공원은 식재, 배수, 소음, 이용(주차, 야간이용)등의 문제를 앉고 있으며 이에 대한 해결방안으로는 숲내 공지확보, 수로나 연못설치, 방음벽 설치, 주차장 확보 등이다. 설문조사에서 제안된 시설과 대안으로는 공원주변의 양재 화홰단지와 연계한 화단 및 화훼전시공원(43%), 현공원의 잠재력을 활용한 식물원 혹은 수목원(58%), 과일나무 공원(32%) 등을 들 수 있다. 결과적으로 이공원과 같이 규모가 큰 공원을 조성시에 위와 같은 문제들을 해결하기 위해서는 조성기간중 다양한 문제를 수용할 수 있는 유연한 단계별 계획이 필요할 것이다.