• Magazine of korean Tunnelling and Underground Space Association
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• v.6 no.3
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• pp.28-38
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• 2004

• Magazine of korean Tunnelling and Underground Space Association
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• v.9 no.1
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• pp.28-38
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• 2007

• KIEAE Journal
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• v.14 no.5
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• pp.123-130
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• 2014

In order for effective heat island reduction policies to be proposed, this research made use of the land usage and land coverage and Temperature of cities, Coordinate axis data within 500 meters of nationwide automatic weather stations (478 points) in order to analyze the correlation of summertime temperatures through multiple regression analysis. This research also developed a model and empirically analyzed the urban heat island reduction effect of factors that affect regional temperatures. Heat islands cause environment deterioration and therefore can harm citizens' health, and also affects the city's metabolism process. Thus in order to restrain regional temperature rises the conclusion was drawn that consideration to increase forest areas on part of land usage planning is needed. Appropriate policy measures to regulate traffic related factors are also needed to restrain regional temperature rises. In order for future heat island reduction this research proposes a way to set up more effective policies and urban sustainability improvement strategies, and is significant in that it makes use of detailed data such as land usage and land coverage, Temperature of cities, Coordinate axis in analyses.

• Journal of Korean Tunnelling and Underground Space Association
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• v.11 no.2
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• pp.151-162
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• 2009

This study proposes a new methodology for quantitative rock classification in unsampled rock zone, which occupies the most of tunnel design area. This methodology is to train an ANN (artificial neural network) by using results from a drilling investigation combined with electric resistivity survey in sampled zone, and then apply the trained ANN to making a prediction of grade of rock classification in unsampled zone. The prediction is made at the center point of a shifting window by using a number of electric resistivity values within the window as input reference information. The ANN training in this study was carried out by the RPROP (Resilient backpropagation) training algorithm and Early-Stopping method for achieving a generalized training. The proposed methodology is then applied to generate a rock grade distribution on a real tunnel site where drilling investigation and resistivity survey were undertaken. The result from the ANN based prediction is compared with one from a conventional kriging method. In the comparison, the proposed ANN method shows a better agreement with the electric resistivity distribution obtained by field survey. And it is also seen that the proposed method produces a more realistic and more understandable rock grade distribution.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.74-84
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• 2022

Vehicle average speed information which measured at a point or a short section has a problem in that it cannot accurately provide the speed changes on an actual highway. In this study, segment separation method based on vehicle big data for accurate micro-speed estimation is proposed. In this study, to find the point where the speed deviation occurs using location-based individual vehicle big data, time and space mean speed functions were used. Next, points being changed micro-scale speed are classified through gradual segment separation based on geohash. By the comparative evaluation for the results, this study presents that the link-based speed is could not represent accurate speed for micro-scale segments.

• Journal of the Economic Geographical Society of Korea
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• v.3 no.1
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• pp.5-20
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• 2000

Recently as globalization of financial capital is progressed, possibility of crisis and unreliability of world economy is more growing. Korean economy required radical restructuring because of the financial crisis and the economic changes occurred in that process. This study is to explain the economic changes of Gwanagju city is produced by the financial crisis of Korean economy The most important industries are service and transportation equipment in Gwangju city. These industries began to decrease after financial crisis but machinery equipment, electrical machinery & electronics and rubber goods & plastic industry is growing relatively. Because of the decrease of service, the economy of inner city which service industry relatively agglomerated in is reducing. And agglomeration space for the optical photonics industry was built up by the upbringing policy of government on high-technology industry to overcome the economic crisis and micro industrial space such as venture building and establishment nursery center was built up. But high-technology industries have many geographical limits to embed in Gwanagju city, so there needs to construct regional innovation system for knowledge based economies

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.313-319
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• 2020

The Misiryeong East-West road opened in July 2006, after the opening of the Expressway between Seoul and Yangyang in June 2017, has led to a recession caused by a decrease in the number of visitors to nearby region, leading to the emergence of economic crisis in the surrounding region. Against this background, in order to revitalize the Healing Road in Misiryeong, we study to find a way to revitalize the region by creating a landmark in Ulsanbawi Rock. In order to create a landmark of Ulsanbawi Rock, an observation cafe, exhibition facilities, and convenience facilities were built, and a monorail was used to view Ulsanbawi Rock, and a healing plaza, resting area, and outdoor performance hall were installed to promote the local economy.

• Tunnel and Underground Space
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• v.16 no.4 s.63
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• pp.334-346
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• 2006

The discrete element code in 2-D, PFC2D, has been used as a tool to simulate various phenomena in rock mechanics and rock engineering. However, the code has an disadvantage that procedure to determine micro-parameters, namely properties of particles and contacts is repetitive and time-consuming. In this study, we analyzed the effect of micro-parameters(for generation of a contact-bonded model) on macro-properties(that were measured numerically by uniaxial compressive test). Based on the analysis, also, the time-saving and reliable method was suggested to determine a complete set of micro-parameters. In order to verify the suggested method, numerical specimens were generated in PFC2D for 10 different rock types at home and abroad. By the two trials for each specimen, in the result, the Young's modulus, Poisson's ratio and uniaxial compressive strength could be reproduced with being in relative error by about 5% to the values obtained by laboratory tests.

• Spatial Information Research
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• v.6 no.1
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• pp.35-45
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• 1998

In order to support effective decision-makings related to greenery planning, this study construct a fundamental database about greenery information for Seoul metropolitan area using GIS and Remote Sensing. Greenery evaluation index consists of ecological/ environmental, utilization, social condition value which are used to determine the development priority of undevelopment parks. These indexes will also be utilized for the green area conservation classification for Seoul metropolitan area. This study is a part of previous project called "Management Policy of the Total Amout of Greenery", which was conducted in Seoul Development Institute.Institute.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.570-576
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• 2020

This study uses beacons and smartphone Global Positioning System (GPS) receivers to establish a location-based disaster/hazard prediction system. Beacons are usually installed indoors to locate users using triangulation in the room, but this study is differentiated from previous studies because the system is used outdoors to collect information on registration location and temperature and humidity in hazardous areas. In addition, since it is installed outdoors, waterproof, dehumidifying, and dustproof functions in the beacons themselves are required, and in case of heat and humidity, the sensor must be exposed to the outside, so the waterproof function is supplemented with a separate container. Based on these functions, information on declining and vulnerable areas is identified in real time, and temperature/humidity information is collected. We also propose a system that provides weather and fine-dust information for the area concerned. User location data are acquired through beacons and smartphone GPS receivers, and when users transmit from declining or vulnerable areas, they can establish the data to identify dangerous areas. In addition, temperature/humidity data in a microspace can be collected and utilized to build data to cope with climate change. Data can be used to identify specific areas of decline in a microspace, and various analyses can be made through the accumulated data.