• Journal of Navigation and Port Research
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• v.28 no.1
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• pp.51-58
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• 2004

Due to the changes in market place, new business types(e.g. e-business} have been rapidly emerged and increased. However, those new business types have not much been emerged in port and logistics related industries, and adoption rate of e-business in this area is very low, compared to other industries. Thus, to promote e-business in this area, many policies have been studied. However, most of previous studies have not been based on industrial structure, and results of these studies have mostly been case by case. Further, there have been no research based on the related theories. As a result, despite many of research and project for shipping and port related e-business, prominent achievements in this area have never to be presented. For these reasons, it am be stated that, first of all, basic studies related to new business types in shipping and port are needed, and then, various policies based on results of those basic studies should be discussed. The aim of this study is to classify business types existed (or expected) in a port related industry, ship bunkering. This taxonomy was based on theories related to business layer(BL) and value chain(VC), and these BL and VC combination enabled to acquire all possible business types.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.261-267
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• 2007

적실하고도 신뢰성 있는 주택정책을 수립하기 위해서는 주택관련 기초자료 및 그에 따른 주택정책지표의 정확성, 정밀성, 시의성이 전제되어야 한다. 본 고에서는 서울시 주택재고산정을 위한 현행 인구주택총조사, 건축물대장(AIS), 과세대장, 주택특성조사 등 기초자료의 현황 및 문제점을 분석하고 개선방안을 제시하였다. 특히 서울시가 보유하고 있는 가장 기본적인 자료라고 할 수 있는 건축물대장자료를 이용한 주택재고 산정문제에 각별한 비중을 두었다. 분석 결과, 각 기초자료별 현행 주택재고 산정기준에 따를 경우, 서울시 소유 거래기준 주택수는 대략 219만${\sim}$232만호에 걸쳐있는 것으로 나타났다. 자료에 따라 주택수가 차이가 나는 이유는 주택의 범위, 분류체계, 산정기준, 원천데이터의 오류 누락 등 수많은 원인에 의한 것인데, 본 고에서는 이들 문제점에 대한 비교분석을 실시하였다. 건축물대장 등은 서울시가 주택 등 건축물 재고파악을 위한 가장 기초적인 자료임에도 불구하고, 이를 이용하여 주택재고를 정확하게 산정하는 것은 자료에 대한 대대적인 정비를 거치기 이전에는 사실상 불가능한 것으로 사료된다. 개선과제로서, 단기적으로는 현행 건축물대장의 주택재고산정방법을 개선할 필요가 있고, 중장기적으로는 기초자료의 구조변경과 데이터정비, 업무정비, 표준 주택분류체계 마련 등이 필요하다. 또한 주택보급률 100%를 눈앞에 두고 있는 상황에서 주택의 양적 지표뿐만 아니라 질적 지표를 지원할 수 있도록 기초자료의 활용성 제고방안이 마련되어야 할 것이다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.546-550
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• 2008

Midium-size Companies have participated in most of the Educational Facility Construction. Since they are lack of special manpower, construction experience, and know-how, many construction defects cause. A water leakage is a typical construct defect in the educational facility construction. A water leakage prevention has to be careful considered in plan, construction and maintenance stages. Therefore, this study suggests Check List for the water leakage prevention, which designer/engineer must consider in plan, construction, and maintenance stages for the educational facility.

• 한국공간정보시스템학회:학술대회논문집
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• 2000.06a
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• pp.93-105
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• 2000

GIS is a powerful toolbox in managing spatial data associated with attribute data. However GIS is short of spatial analysis function and graphic user interface(GUI) function in dealing with dynamic planning problems. Decision Support Systems(DSS) make up for the shortage of GIS by providing GUI function, modeling function and database function. Spatial Decision Support Systems(SDSS), a new kind of DSS, incorporate display function, basic spatial analysis function and manipulation function of spatial data and attribute data of GIS and GUI function, modeling function and database function of DSS in dealing with spatial planning problems. Planning Support Systems(PSS) add more advanced spatial analysis function and intertemporal function to the functions of SDSS. This study focuses on the modeling of a PSS for capacity expansion of water-distribution network depending upon land use planning by using GIS, value engineering(VE) and life cycle costing(LCC). The PSS shows a guideline about the investment of water-distribution networks related to urban growth management through generating certain numbers of dynamic alternatives to supply the amount of water caused by land use planning.

• Journal of Environmental Impact Assessment
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• v.26 no.6
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• pp.385-403
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• 2017

This study showed the national ecosystem classification for the spatial standards of ecosystems-based approaches to the risk assessments and adaptation plan. The characteristics of climate change risk assessment, implement national adaptation plans, and ecosystem/habitat classification status was evaluated. Focusing on the land cover classification widely utilized as spatial data for the assessments of biodiversity and ecosystem services in the UK and other countries in Europe, the applicability of the national land cover classification for climate change risk assessments was reviewed. Considering the ecosystem classification for climate change risk assessment and establishing adaptation measures, it is difficult to apply rough classification method to the land cover system because of lack of information on habitat trend by categorization. The results indicated that forest ecosystems and agro-ecosystem occupied 62.3% and 25.0% of land cover, respectively, of the entire country. Although the area is small compared with the land area, wetland ecosystem (2.9%), marine ecosystem (0.4%), coastal ecosystem (0.6%), and urban ecosystem (6.1%) can be included in the risk assessments. Therefore, it is necessary to subdivide below the medium classification for the forest and agricultural land, as well as Inland wetland, which has a higher proportion of habitat preference of taxa than land area, marine/coastal habitat, and transition areas such as urban and natural ecosystem.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.9
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• pp.817-821
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• 2001

In this paper, a new learning methodology for kernel methods that results in a sparse representation of kernel space from the training patterns for classification problems is suggested. Among the traditional algorithms of linear discriminant function, this paper shows that the relaxation procedure can obtain the maximum margin separating hyperplane of linearly separable pattern classification problem as SVM(Support Vector Machine) classifier does. The original relaxation method gives only the necessary condition of SV patterns. We suggest the sufficient condition to identify the SV patterns in the learning epoches. For sequential learning of kernel methods, extended SVM and kernel discriminant function are defined. Systematic derivation of learning algorithm is introduced. Experiment results show the new methods have the higher or equivalent performance compared to the conventional approach.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.199-204
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• 2006

도시의 변화에 대하여 보다 체계적으로 계획하고 관리하기 위해서는 도시지역에 대한 정확한 지리 정보의 획득이 필요하며 이와 더불어 정보의 신속한 갱신이 필요하다. 도시 변화를 판단하기 위한 지리정보는 여러 가지 정책과 연구에 사용될 수 있을 뿐만 아니라 그 자체만으로도 도시의 성장을 기록하는 중요한 자료로 이용될 수 있다. 지리 정보의 획득 방법 중 하나인 영상분류 방법은 여러 가지가 있으나, 그 중 건물, 도로, 수목, 논, 밭 등 지상의 물체들의 분광특성을 이용한 방법이 가장 효율적이라고 할 수 있다. 따라서 본 연구에서는 도심지의 토지피복분류 현황을 기존의 방법보다 더욱 정확히 분석하기 위해서 IKONOS 영상을 이용하여 분석방법에 따른 정확도를 비교 분석하고 GIS를 이용하여 토지피목 현황을 분류기법별로 나타내며, 대상지역의 분류 정확도와 정보를 제시하였다. 연구 결과 도심지에서는 최대우도법을 이용한 감독 분류의 정확도가 가장 높은 정확도를 나타내었으며, 주관성을 배제한 분류 방법에는 신경망을 이용한 분류 방법이 높은 정확도를 나타내었다. 또한 분류 기법 별로 분류된 토지피복도를 이용하여 분류 정확도와 분류항목에 대한 속성 자료를 GIS데이터베이스로 구축하여 사용자가 요구하는 정확도에 따라 분류 방법별 토지피복도를 제공함으로써 보다 신뢰성 있고 다양한 정보를 제공할 수 있었다.

• Journal of the Korean Geographical Society
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• v.38 no.6
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• pp.863-886
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• 2003

Internet is the most important element in the emergence of the Internet economy, which derives the creation of new firms and employment, and brings about the new ways of marketing and business. The emergence of the Internet economy and the rapid growth of the Internet industry have a great deal to changes in the spatial economy. Korea has experienced a rapid growth of the Internet industries, but few geographical studies have been done to explain the impact of the development of the Internet industries on the spatial economy. This research explored how Korea has developed as a nation of the strong Internet economy in terms of driving forces by demand and supply side. This research tried to build a data set for the Internet industries with the introduction of a new classification scheme and a measurement. The most important finding from this research was the spatial concentration of the Internet industries toward Seoul at the national level and toward the Gangnam area within Seoul. The rise of Internet industries has added attractiveness to Seoul which enjoys a kind of cumulative and circular advantages.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.148-154
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• 2008

In a ubiquitous computing environment, a ubiquitous smart space is required to help devices provide intelligent services. The smart space embedded with mobile devices should have the capabilities of collecting data and refining the data to contact. Unfortunately, the context information in a ubiquitous smart space has many ambiguous characteristics. Therefore, it is necessary to adapt a standard taxonomy for contact information in the smart space and to implement an inference technique of the context information based on taxonomy. Rule-based inference engine, such as CLIPS, Jess, was employed for providing situation-aware services. However, it is difficult for these engines to be used in resource limited mobile devices. In this paper, we propose a light-weight inference engine providing autonomous situation aware services in mobile environment. It can be utilized for personal mobile devices tuck as mobile phone, PMP and navigation. It can also support both generalized rules and specialized rules as using hierarchical taxonomy information.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.298-303
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• 2003

Due to the changes in market place, new business types(e.g. e-business) have been rapidly emerged and increased. However, those new business types have not much been emerged n shipping and port related industries, and adoption rate of e-business in this area is very low, compared to other industries. Thus, to promote e-business in this area. many policies have been studied. However, most of previous studies have not been based on industrial structure, and results of these studies have mostly been case by case. Further, there have been no research based on the related theories. As a result, despite many of research and project for shipping and port related e-business, prominent achievements in this area have never to be presented. For these reasons, it can be stated that, first of all, basic studies related to new business types in shipping and port are needed. For these reasons, it can be stated that, first of all, basic studies related to new business types in shipping and port are needed, and then, various policies based on results of those basic studies should be discussed. The aim of this study is to classify business types existed (or expected) in a port related industry, ship bunkering. This taxonomy was based on theories related to business layer(BL) and value chain(VC), and these BL and VC combination enabled to acquire all possible business types.