• Title/Summary/Keyword: geographical methods

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Effective Methods on the Conservation of Specific Plant Species

  • Park, In Hwan;Ra, Jung Hwa
    • Journal of Environmental Impact Assessment
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    • v.8 no.1
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    • pp.121-132
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    • 1999
  • 효과적인 특정식물종에 보전대책 수립을 위한 정책척 측면에서의 연구결과를 요약하면 아래와 같다. 1) 특정식물종의 분류항목을 보다 더 세분화하고 세분화된 각 항목별 지정기준을 구체적으로 설정하는 것이 필요하다. 2) 조사의 범위를 특정지역에 대한 부분적 조사가 아니라 국토 및 지역차원에서 총체적으로 이루어져야 하고 조사내용도 특정식물종만이 아닌 타 환경요인들(Biotope, 식물지리적 분포, 토양조건 등)을 함께 조사내용에 포함시킬 필요가 있다. 3) 연구자의 주관적 편견이나 경험에 의한 평가를 지양하고 보다 객관적이고 과학적인 평가체계의 확립이 필요하다. 4) 국가차원에서 특정식물종을 총체적으로 관리할 수 있는 지도제작, 정보시스템의 구축, 현장보전 및 장외보전의 활성화가 필요하다. 본 연구에서 제시된 정책적 차원에서의 개선책은 관계전문가들 사이에 보다 더 구체적인 논의 및 연구를 위한 기초자료 제시로서, 세부적인 연구는 차후 계속 수행되어야 할 것으로 사료된다.

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An Expert System for Designs of Foundations by ActiveX in Internet (인터넷상에서의 ActiveX를 이용한 기초공법선정 전문가시스템 구현)

  • 김정호;이종석
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1999.10a
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    • pp.168-175
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    • 1999
  • The previous study was an expert system development that help engineers select proper foundation types and construction methods for structures under various subsoil condition. The system includes geographical and geological data in certain areas of Ulsan and a knowledge base for the selection of foundation types. However, the system, a kind of application program, has a weakness that it can be used only when it is installed at each user's own computer. Therefore, the purpose of the research is to more the system operated on Internet and spread over to more users. So, Server Installation, ActiveX, ADO(Active Data Objects) and ASP(Active Server Pages), which are the requirements to operate the system on Internet, are to be investigated through the research.

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Application of GIS Technology for Developing Emergency Management System on High-Speed Lines

  • Kim, Sang-Ahm;Hong, Seon-Ho;Wang, Jong-Bae
    • Journal of the Korean Society for Railway
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    • v.6 no.3
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    • pp.156-162
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    • 2003
  • Due to almost all tracks of new Kyoungbu high-speed lines(HSL) consisting of bridges and tunnels, HSR operational safety management is very important factor for passenger safety and preventing catastrophic event. Especially, it is important to approach the scene of the accident and assist in saving lives as soon as possible under emergency conditions. Therefore it is essential to prepare access methods and available resources in advance in order to support emergency correspodances promptly and effectively. This paper persents an application of geographical information system(GIS) for developing emergency management system as well as batabase system on tracks and facilities, electric/communication equipment and safety equipment required to support emergencies. The on-site information on the proximity of HSL is expressed on the numerical map, which can be helpful to call external supports such as medical service, local authorities, police offices, fire brigades, and etc. for the emergency situations.

Development of the Discrimination Methods for Geographical Origin of Bracken(Pteridium aquilinum) by Capillary Electrophoresis (Capillary electrophoresis를 이용한 한국산 및 중국산 고사리의 원산지 판별방법 개발)

  • Kim, Eun Young;Kim, Jung Hyun;Chung, Kyung Sook;Rhyu, Mee Ra
    • Analytical Science and Technology
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    • v.17 no.2
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    • pp.192-197
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    • 2004
  • The discrimination of bracken (Korean vs. Chinese) has been attempted using capillary electrophoresis (CE). Bracken (Pteridium aquilinum) was extracted with 30% methanol and separated on a uncoated fused-silica ($50{\mu}m{\times}27cm$) capillary. Conditions for optimal analysis include: temperature, $40^{\circ}C$; voltage, 8 kV; and pressure injection time, 5 sec. The optimal separation buffer was 0.3 M borate buffer (pH 8.5) containing 40 mM CHAPS with 30% ethylene glycol. Under the optimal conditions established for CE, the ratio of specific peak area (peak PA-1) to other peak area (peak PA-2) was effective in discrimination of Korean and Chinese bracken. The mean accuracy for discrimination of Korean and Chinese brackens were 80% and 86%, respectively.

Schentific analysis and interpretation of visual structure of feng-shui : Case study of Hahoi and Yangdong villages (풍수지리의 시각적 구조의 과학적 분석파 해석 -하회, 양동 마을의 사례 연구-)

  • 현중영;박찬용
    • Journal of the Korean Institute of Landscape Architecture
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    • v.25 no.1
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    • pp.124-134
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    • 1997
  • The primary purpose of this research is to scientifically investigate visual structure of Korean feng-shui at the level of village settlement. This study deals with Hahoi and Yangdong villages of which feng-shui is regarded highly fit to traditional feng-shui principles. Methodologically this research utilizes analytical tools of geographical information systems and statistical analysis methods, Visual structures of the villages'feng-shui are analyzed in terms of elevation, orientation, gradient of slope and relative dominance of visibility of major hills. A mathematical model is suggested to quantify facets of the villages'lung-shui with reference to slope trends. The quantitative analysis results indicate that both villages have good feng-shui. Hahoi village has an excellent feng-shui attributable to a near perfect harmony between water and terrain while Yangdong village has an effective feng-shui facet for conserving energy in terms of microclimate. Principles of fang-shui have potentials to be developed as a holistic planning and design language. Further in-depth research on feng-shui needed to accomplish this goal.

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Implementation of an Enhanced Change Detection System based on OGC Grid Coverage Specification

  • Lim, Young-Jae;Kim, Hong-Gab;Kim, Kyung-Ok
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1099-1101
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    • 2003
  • Change detection technology, which discovers the change information on the surface of the earth by comparing and analyzing multi-temporal satellite images, can be usefully applied to the various fields, such as environmental inspection, urban planning, forest policy, updating of geographical information and the military usage. In this paper, we introduce a change detection system that can extract and analyze change elements from high-resolution satellite imagery as well as low- or middle-resolution satellite imagery. The developed system provides not only 7 pixelbased methods that can be used to detect change from low- or middle-resolution satellite images but also a float window concept that can be used in manual change detection from highresolution satellite images. This system enables fast access to the very large image, because it is constituted by OGC grid coverage components. Also new change detection algorithms can be easily added into this system if once they are made into grid coverage components.

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GML-based Strategic Approach and Its Application for Geo-scientific Infrastructure Building

  • Moon, Sun-Hee;Lee, Ki-Won;Kwon, Byung-Doo
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.235-237
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    • 2003
  • GIS became increasingly important in information-oriented society as social indirect capital and many GIS data are developed. To use these data effectively standard format that enables easy to transport and store is needed. For this purpose, OGC developed GML based on XML as web standard format of geographical information. In this study, web based mapping with respect to digital geologic map and gravity anomaly map was accomplished using GML. While, styling methods were implemented in XSLT to make the visualizing suitable for the character of each layer, so it is possible to make dynamic maps in the SVG. GML-base map produced in this study can be transferred and represented without loss of the meaning and degrading on the web.

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Accuracy Measures of Empirical Bayes Estimator for Mean Rates

  • Jeong, Kwang-Mo
    • Communications for Statistical Applications and Methods
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    • v.17 no.6
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    • pp.845-852
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    • 2010
  • The outcomes of counts commonly occur in the area of disease mapping for mortality rates or disease rates. A Poisson distribution is usually assumed as a model of disease rates in conjunction with a gamma prior. The small area typically refers to a small geographical area or demographic group for which very little information is available from the sample surveys. Under this situation the model-based estimation is very popular, in which the auxiliary variables from various administrative sources are used. The empirical Bayes estimator under Poissongamma model has been considered with its accuracy measures. An accuracy measure using a bootstrap samples adjust the underestimation incurred by the posterior variance as an estimator of true mean squared error. We explain the suggested method through a practical dataset of hitters in baseball games. We also perform a Monte Carlo study to compare the accuracy measures of mean squared error.

Electron-Morphometric Classification of the Native Honeybees from Korea Part V. Cluster Analysis by Canonical Function Score (한국산 재래꿀벌의 전자계량형태학적 분류 V. 정준판별함수값을 이용한 군분석)

  • Kwon Yong Jung;Huh Eun Yeop
    • Animal Systematics, Evolution and Diversity
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    • v.8 no.2
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    • pp.189-200
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    • 1992
  • In the present investigation, some cluster analyses were done for each population of the native honeybee workers(Apis cerana), which were selected for 15 different localities in spring and 16 in summer from Korea. In this analysis, the seasonal segregation was perfectly revealed by both Ward's and the average linkage between groups methods, whereas, it did not necessarily revealed any systematic relationship between geographical groups.

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Model Selection in Artificial Neural Network

  • Kim, Byung Joo
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.57-65
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    • 2018
  • Artificial neural network is inspired by the biological neural network. For simplicity, in computer science, it is represented as a set of layers. Many research has been made in evaluating the number of neurons in the hidden layer but still, none was accurate. Several methods are used until now which do not provide the exact formula for calculating the number of thehidden layer as well as the number of neurons in each hidden layer. In this paper model selection approach was presented. Proposed model is based on geographical analysis of decision boundary. Proposed model selection method is useful when we know the distribution of the training data set. To evaluate the performance of the proposed method we compare it to the traditional architecture on IRIS classification problem. According to the experimental result on Iris data proposed method is turned out to be a powerful one.