• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2575-2580
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• 2012

The aim of this paper is to analyze factors for site selection of the cloud data center and to develop spatial data model considering disasters information based on the GIS. In this paper, historical areas of the natural and human disaster are considered to analyze location of the cloud center. The model is developed using ArcGIS S/W tool. The model is applied on Busan city using disaster data from storm and flood, and small administrative district located Kang-Seo-Gu is selected as site selection of the cloud data center of Busan.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.19-25
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• 2008

Nihombashi district, which is located in a heart of Tokyo Metropolitan area, has been flourished as a Japanese economic and cultural center since Tokyo was developed as a capital. Nihombashi district has still remained the Edo idea of stylishness since the government of Edo was established in 1603. During Edo period, population of Edo (former name of Tokyo) reached one million. Edo became one of big city around the world. Nihombashi district has been transformed as economical, financial and cultural center, along with modern transformation of Tokyo. During high economic growth (1955-1975), Nihombashi Bridge and River, which used to a symbol of Tokyo, have been covered with elevated highways. The river was polluted whereas the river does not have any relationship with people's daily activities. Since Japan has focused on environment concern in 80's, people and companies in Nihombashi district and Nihombashi River also requested to restore Nihombashi district and Nihombashi River. There are a lot of projects going on related to regenerate the river and the community, such as to remove highways covered with the river, restore river environment and run water navigation. This article mentioned to introduce the project of Nihombashi River and Nihombashi district that regenerate the community to capitalize history and geographic characteristics in Nihombashi district, to run water navigation through the river, and to review outcomes through various projects.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.217-226
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• 2008

최근 들어 U-City 구축 사업을 수행하고 있는 대다수의 지자체에서는 U-City건설지원법에서 규정하고 있는 U-도시기반시설의 서비스 모델을 정립하고 체계화 하기위해 노력하고 있다. 그 중 공간정보 수요가 높은 도로, 상 하수도 시설물은 국토해양부의 주관하에 90년말부터 현재까지 매칭펀드 사업을 통해 DB 및 시스템을 구축하도록 유도해 왔다. 그러나 정부차원의 이러한 사업이 지자체 지리정보 담당부서와 지하시설물 관리 담당 공무원들 중심으로 단순히 공간정보의 조회 및 편집차원에서 추진되고 있어 활용에 대한 한계가 발생하고 있다. 본 연구는 국토해양부에서 주관하고 있는 '지능형 도시 지하시설물 관리 기술 개발' R&D 사업을 통해 이러한 한계를 극복하고 기존 상 하수도 단위시스템에서 제공하는 조회 및 편집기능이외에도 USN 및 RFID를 적용하여 활용할 수 있는 지능화된 지하시설물 관리업무를 도출하고, 기존 상 하수도 단위시스템과의 연계 모델을 제시하고자 한다.

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.107-114
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• 1999

The large-scale distribution of crops Is usually determined by climate. We present the results of a climate-crop prediction based on spatial bio-physical process model approach, implemented in a GIS (Geographic Information System) environment using several regional and global agriculture-environmental databases. The model utilizes daily climate data like temperature, rainfall, solar radiation being generated stocastically by in-built model weather generator to determine the daily biomass and finally the crop yield. Crops are characterized by their specific growing period requirements, photosynthesis, respiration properties and harvesting index properties. Temperature and radiation during the growing period controls the development of each crop. The model simulates geographic/spatial distribution of climate by which a crop-growing belt can also be determined. The model takes both irrigated and non-irrigated area crop productivity into account and the potential increase in productivity by the technical means like mechanization is not considered. All the management input given at the base year 1995 was kept same for the next twenty-year changes until 2015. The simulated distributions of crops under current climatic conditions coincide largely with the current agricultural or specific crop growing regions. Simulation with assumed weather generated derived climate change scenario illustrate changes in the agricultural potential. There are large regional differences in the response across the country. The north-south and east-west regions responded differently with projected climate changes with increased and decreased productivity depending upon the crops and scenarios separately. When water was limiting or facilitating as non-irrigated and irrigated area crop-production effects of temperature rise and higher $CO_2$ levels were different depending on the crops and accordingly their production. Rise in temperature led to yield reduction in case of maize and rice whereas a gain was observed for wheat crop, doubled $CO_2$ concentration enhanced yield for all crops and their several combinations behaved differently with increase or decrease in yields. Finally, with this spatial modeling approach we succeeded in quantifying the crop productivity which may bring regional disparities under the different climatic scenarios where one region may become better off and the other may go worse off.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.24 no.4
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• pp.348-356
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• 2014

To understand the relationship between road-traffic noise and urban components such as population, building, road-traffic and land-use, the city of Cheongju that already has road-traffic noise maps of daytime and nighttime was selected for this study. The whole area of the city is divided into square cells of a uniform size and for each cell, the urban components are estimated. A spatial representative noise level for each cell is determined by averaging out population-weighted facade noise levels for noise exposure population within the cell during nighttime. The relationship between the representative noise level and the urban components is statistically modeled at the cell level. Specially, we introduce a spatial auto regressive model and a spatial error model that turns out to explain above 85 % of the noise level. These findings and modeling methods can be used as a preliminary tool for environmental planning and urban design in modern cities in consideration of noise exposure.

• Journal of Korean Society for Atmospheric Environment
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• v.34 no.2
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• pp.223-232
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• 2018

As the Seoul metropolitan city has the largest numbers of population and vehicles, the citizens can be exposed to hazardous air pollutants(HAPs) mainly from the vehicular exhaust and human activities. In this study, we proposed a systematic method for the selection of priority monitoring areas for HAPs using Geographic Information System (GIS). First, emission parameters(emission data, vehicle registration, monitoring data, and so on) and population parameters (population and population density) were plotted using the inverse distance weighted (IDW) interpolation. Then, the interpolation data for individual parameters, which were normalized between 1 and 5 points, were compiled for 270 grids with a resolution of $2km{\times}2km$. The total score of each grid was calculated using weights(1~5) for the individual parameters. The final ranking of each grid was assigned by four scenarios with varying fractions of the emission and population parameters from 50 : 50 to 80 : 20. Consequently, nine grids were suggested as priority monitoring areas, and all of them are located in the southwestern part of Seoul.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.3
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• pp.35-47
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• 2004

Telematics and LBS is one of rapidly emerged technology domains. In order to efficiently construct them, moving object technology which manages huge volume of real-time location data is required. Especially, the query which obtains special sorts of information closely related to the detailed applications is required in order to effectively retrieve and analyze the location data for moving object in logistics domain. It has also complex query structure comparing to the conventional database query. The approach using the standard database query language, like SQL, can be considered as an effective alternative choice. In this paper, we not only propose a new query language, entitled as MOQL based on SQL, for the query processing of the vehicle monitoring and control in e-Logistics but also design and implement the query processor.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.1-6
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• 2011

The Context-Awareness technology which can provide the appropriate information to the human after estimating a lot of information exceeds the time and space in the ubiquitous environment is being developed now. GIS (Geographic Information System) and LBS (Location Based Services) based context awareness is one of these kinds of technology. The context awareness based transfer guide service which can provide useful information, according to the different information which was got from different sensors which were set in different places, to the pedestrian who is using the transfer center will be introduced in this paper. About the result of the service prototype which was tested in test-bed, the context awareness information such as the inside location and density calculation's accuracy is 90%, and the response time of the service is in 10 seconds, and also, the reliability will be higher if more advanced based infra will be used, so it is consider that it can be used to provide service enough.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.4
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• pp.168-178
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• 2007

As the title signifies, the current study aims at the realization of u-City, which is short for the Ubiquitous City. For this purpose, firstly, the meaning of u-City realization is sought in the study based on future urban changes. Along with this, current issues in the course of u-City realization are gathered based on in-depth interviews with relevant experts. Thirdly, necessary for the comprehensive planning and management of u-City, several strategies are presented by classifying it into u-Infra and u-Service, and considering relevant laws and regulations. And the study divided the execution process into project, development and management levels, and then suggests some realization strategies that are level-dependent.

• Environmental Engineering Research
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• v.18 no.2
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• pp.85-90
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• 2013

This study is an attempt to quantify rainwater utilization and miscellaneous water demand in Tokyo's 23 special wards, the core of the urban area in Tokyo, Japan, in order to elucidate the potential of further rainwater utilization. The rainwater utilization for miscellaneous appropriate water demands, including toilet flushing, air conditioning, and garden irrigation, were calculated for six different types of building: residential house, office, department store, supermarket, restaurant, and accommodation. Miscellaneous water demands in these different types of building were expressed in terms of equivalent rainfall of 767, 1,133, 3,318, 1,887, 16,574, and 2,227 (mm/yr), respectively, compared with 1,528 mm of Tokyo's average annual precipitation. Building types, numbers and its height were considered in this study area using geographic information system data to quantify miscellaneous water demands and the amount of rainwater utilization in each ward. Area precipitation-demand ratio was used to measure rainwater utilization potential for miscellaneous water demands. Office and commercial areas, such as Chiyoda ward, showed rainwater utilization potentials of <0.3, which was relatively low compared to those wards where many residential houses are located. This is attributed to the relatively high miscellaneous water demand. In light of rainwater utilization based on building level, the introduction of rainwater storage mechanisms with a storage depth of 50 mm for six different types of buildings was considered, and calculated as rainfall of 573, 679, 819, 766, 930, and 787 (mm), respectively. Total rainwater utilization using such storage facilities in each building from 23 wards resulted in the retention of 102,760,000 $m^3$ of water for use in miscellaneous applications annually, and this volume corresponded to 26.3% of annual miscellaneous water demand.