• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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• pp.643-650
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• 2009

The necessary consequence by the rapid economic growth in large-scale urban excavation is increasing. If the site is the congested in downtown, the scale of excavation will get the large-scale and the extreme depth. We have achieved a high level technology internationally by the design and construction of underground excavation since 1980's. But the accidents during excavation are frequently occurring. So, this demage instigates the human life loss as well as economical loss. The recent accident is come about the damage for public facilities such as the railroad, subway and etc. in addition to the loss of life and property. For these reasons, the recent accident is being caused the damage of copious social overhead capital. The reasons of collapse during excavation can be classified roughly into the administrative part(sanction, permission), the investigation and design, the construction and management and etc. In this study the close check for the cases of the recent collapse is performed and the improvement course for the prevention of collapse is found.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.4
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• pp.399-404
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• 2011

Overload vehicles have demoralizing influence upon the social overhead capital, economics of nation, traffic flow and road safe as various components. Accordingly, this study established a ubiquitous sensor network system to develop an intelligent regulation system to monitor overloaded vehicles in motion. and Unlike WIM, after detecting the axle of driving vehicles by measuring deformation of roads, this system calculates the weights of vehicles by using signals from the strain sensors installed under the road and an analysis method. Also the study conducted an simulation test for vehicle load analysis using genetic algorithm. and tested wireless sensor for USN system.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.861-872
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• 2021

An efficient cost management is important for the domestic social overhead capital(SOC) based on a long lifecycle after 30 years since completion. Maintenance in South Korea have had the restrictions of consistency and suitability of decision-making by the establishment of a budget plan based on the company estimate and repair and reinforcement methods determined by the inspection and diagnosis engineers' subjective determination for each facility. To resolve this issue, the Korea Institute of Civil Engineering and Building Technology is currently in development of a methodology to propose an optimum maintenance method according to the damage of components by artificial intelligence. This study has deduced the primary factors by analyzing information generated during bridge maintenance and management as a prior step for the development of technologies, and conducted a preliminary analysis to select the optimum artificial intelligence technology.

• Journal of the Korean Institute of Educational Facilities
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• v.26 no.5
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• pp.3-10
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• 2019

This study has a purpose to profile local sectors into meaningful groups by using facilities rates of Social Overhead Capital(SOC) for daily life. Comparing SOC for daily life among the meaningful groups, the profiling and comparison results bring the comprehensive understanding about the educational facilities in local sectors. For the research purpose, this study utilized Latent Profile Analysis(LPA) by using variables such as population, road information, SOC for daily life, usage of land, possession of land, and appraised value of land from the 2018 Geographic Information System(GIS) dataset of Gwangjin-gu, where is one of the administrative district of Seoul City. Results showed that there are four latent groups of sectors among 904 local sectors(100 squared-meters sector per each) in Gwangjin-gu. By comparing the four latent groups by using LPA, the results diagnose each sector's status and help to improve the policy about educational facilities. Specifically, by using dataset for SOC of daily life, there are four groups of local sectors and each group has different features. Based on the different features of local sector groups, there can be improved management of educational facilities matching with each group's features.

• Journal of Information Technology Services
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• v.20 no.1
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• pp.81-92
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• 2021

As the degree of economic development of society increases, the maintenance issues on the existing social overhead capital becomes essential. Accordingly, the adaptation of the concept of Level of service in highway maintenance is indispensable. It is also crucial to manage and perform the service level such as road assets to provide universal services to users. In this regards, the purpose of this study is to improve the maintenance service rating model and to focus on the assessment items and weights among the improvements. Particularly, in determining weights, an Analytic Hierarchy Process (AHP) is performed based on the survey response results. After then, this study conducts unsupervised neural network models such as Self-Organizing Map (SOM) and Davies-Bouldin (DB) Index to divide proper sub-groups and determine priorities. This paper identifies similar cases by grouping the results of the responses based on the similarity of the survey responses. This can effectively support decision making in general situations where many evaluation factors need to be considered at once, resulting in reasonable policy decisions. It is the process of using advanced technology to find optimized management methods for maintenance.

• Journal of the Korean GEO-environmental Society
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• v.22 no.8
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• pp.13-19
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• 2021

In the case of construction on soft ground - such as national expressways sponsored by Social Overhead Capital (SOC) - many problems occur due to excessive settlement: therefore, an accurate settlement prediction has a major impact on the selection of improvement methods, project budget and construction period. Most of the settlement prediction methods currently used in projects apply Terzaghi's Theory of One-Dimensional Consolidation which assumes the uniformity of the depth of the soft ground. However, the results of soft ground settlement predictions vary when the target layer is divided into multiple horizontal layers. This study analyzed the change in the consolidation settlement behavior according to the horizontal division of soft ground as well as with different loading height.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.353-359
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• 2005

The infrastructure in korea has been improved drastically since July 7th, 1970 which was the first highway completed date in Korea (Seoul-Pusan). This is one of the major factors for the competitiveness of a country. Now the total length of highway in Korea is more than 2000km. However Korea is 11th in the trade volume in the world, the SOC level of Korea is around 20th at most in the world (IMD 2004). The infrastructure in Korea comparing other developed countries is far below, which gives the impact of cost of goods, even twice expensive in transporting goods through highways, railways and ports etc. Now the government budget is gradually spending more for welfare and health care side. The most of additional expense of welfare is increasing rather than SOC budget is decreasing or staying as it is as 2003. The government may think that the level of SOC is enough in point of view of preference input of budget such as welfare and health care etc. However the SOC level in Korea is far form the competitiveness of the country. The main points of this paper is to show that where Korea is in point of SOC level to go for developed country, and what to do to facilitate BOT, BTO and BTL projects. Korean government has tried to improve the practice of PPI (Private Participation of Infrastructure) with the Act on Private Capital Inducement in 1994 and the Act on Private Investment in 1997.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.31-34
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• 2023

주택 매매에 있어서 가격에 대한 예측은 매우 중요하지만, 실거래 발생 전까지는 정확한 가격을 알 수 없다. 그렇기에 주택가격을 예측하는 많은 연구가 진행되어왔다. 주택가격을 결정하는 영향요인은 크게 주택의 내부요인과 주택의 외부 요인으로 구분되는데, 내부적인 요인 (공급면적, 전용면적, 층, 방 개수 등)에 대한 연구가 많이 진행되었다. 하지만 외부적인 요인 (위치 요인, 금융요인 등)에 대한 연구는 미비하였다. 본 연구는 주택 매수자 관점에서 가격 예측 시 외부적인 요인 역시 중요하다고 판단하여 외부요인을 적용하고자 한다. 본 논문에서 제안하는 방법은 다양한 외부요인 중 주택의 위치 정보를 활용하여, 해당 정보 기반으로 도출 가능한 데이터를 추가한다. 또한 이용량에 따른 지하철역 데이터를 추가하여 관련된 여러 영향요인들을 분석 및 적용 후 머신러닝 기반 예측 모델을 생성한다. 생성된 모델들에 주택매매 실거래 데이터를 적용하여 예측 정확도를 비교 후 높은 정확성을 보이는 모델 결과에 주요하게 영향을 끼치는 요인에 관하여 기술한다.

• Korea Trade Review
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• v.47 no.6
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• pp.307-333
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• 2022

In recent years, the outward foreign direct investment (oFDI) in the Belt and Road Initiative (BRI) by Chinese companies has significantly increased in size and changed in content. However, changes in the oFDI patterns between the pre- and post-BRI periods have not received sufficient attention from academia despite their theoretical and strategic significance. This paper reviewed existing research to establish seven hypotheses on changes in the oFDI patterns of Chinese companies investing in BRI countries and conducted empirical analyses to test the hypotheses using secondary data. The results showed that after the BRI agreement, Chinese oFDI in BRI countries was more active in less economically and less institutionally developed countries, that the oFDI by privately-owned enterprises (POEs) increased more than that of state-owned enterprises (SOEs), and that SOEs were more active in the social overhead capital (SOC) area while POEs were more active in the non-SOC area. The paper concludes with a summary, implications, and future research directions.

• Journal of the Economic Geographical Society of Korea
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• v.4 no.2
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• pp.1-22
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• 2001

The object of this research is to explain types and factors of locations and regional linkages of manufacturing firms in rural areas using Eumsung County as a case of rural areas. Eumsung County is now vigorously industrializing owing to the government policy dispersing factories in the Capital region. The results of the survey conducted on industrial firms in Eumsung County through questionnaires reveal that individual sites are dominantly preferred by factory owners in comparison to the designated industrial complexes because the former is cheaper in land price. The main factors of industrial location in Eumsung County are cheap land cost, convenient highway accessibility, and the dispersion policy of the Capital region. In terms of the regional linkage, the proportion of the linkage with other regions is larger than that within the local region in case of purchasing raw materials, but the linkage with other regions is lower than that within the local regions in case of selling products. Also most white collar employees in Eumsung County were revealed to reside in and around the Capital region. In order to develop and maintain industrial firms in rural areas so as to avoid "dependency development," efforts for improving of the linkages between the local firms and expanding of social overhead capital are necessary.necessary.