• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2002년도 봄 학술발표회 논문집
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• pp.133-138
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• 2002

Several well-known soil classification charts, like made by Robertson(1986,1990), Olsen(1981), existed already. In Korea, Lee Sun-Jae(1997) made new classification chart based on Unified Soil Classification System with locality In this study, 6 classification charts were applied respective area. Even exact decision is impossible which one is correct, this study can give useful guideline.

• 한국주거학회논문집
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• 제19권3호
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• pp.31-38
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• 2008

Recently, Seoul residential real estate market showed a big change, especially in 2007. The residential property price in Seoul had been mainly affected by 5 provideces: Kangnam-gu, Seocho-gu, Songpa-gu, Gangdong-gu and Yangchun-gu, but these providences started to show the decrease in price while the other providences ironically showed the opposite direction. Therefore, this project was derived from this phenomenon recognition and the necessity as the new market trend requires. The pre-research was carried out with the point of social-population academic view, but this project provides the analysis on the new market trend by simplifying the complex valuation indexes, originated from the pre-research. In result, the aspects of the change could be categorized into time-manner classification and territorial-manner classification, in cope with the change in the satisfaction degree on the residential environment and the selection tendency of the residential property. Based on the the moving-preferred area criteria, the territorial classification was categorized into 3 areas: 5 providences, which showed the initial decrease in real estate price (area 1), the other Kangnam area (area 2), and Kangbuk area (area 3). The result illustrated the reasonable change in the satisfaction degree on the residential environment and the selection tendency of the residential property. This project was able to reach the following conclusion : Firstly, the housing development planning should be devised by the residential environment, including the view and the natural environment, not by the area. Secondly, the housing development planning in the other Kangnam area (area 2) and Kangbuk area (area 3) should embrace the business function, not the housing development only. Last, the housing development planning in Kangbuk area (area 3) should be able to enhance education and culture function and be connected by various transportation system. This project analyzes the change in the satisfaction degree on the residential environment and the selection tendency of the residential property. Thereafter, this project has the purpose of providing the aid in understanding of the basis of housing development information.

• 한국측량학회지
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• 제32권5호
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• pp.451-457
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• 2014

최근 몽골 수도 울란바타르를 둘러싸고 있는 Tuv지역의 토지 황폐화가 급속도로 진행되고 있는데 이는 광산업의 발달과 인구 밀집으로 인하여 기존의 목초지가 파괴됨으로써 더욱 더 가속화 되고 있다. 따라서 본 연구에서는 Tuv지역의 도심지역과 광산지역을 대상으로 하여 토지피복의 변화 탐지와 토지황폐화에 대한 추이를 분석하기 위하여 2001년부터 2009년까지의 Landsat TM과 +ETM 위성영상을 활용하여, 정규식생지수와 무감독분류(Unsupervised Classification)의 K-Mean 알고리즘과 감독분류(Supervised Classification)의 MLC 등의 디지털 영상 분류기법을 적용하여 몽골 Tuv지역의 다중시기별 토지피복변화를 분석하였다. 그 결과 광산지역의 확장과 더불어 기후변화 및 인구밀집 등으로 인하여 토지가 황폐화되어 사막지역으로 변화되어가는 추이를 알 수 있었다.

• 한국농공학회논문집
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• 제58권6호
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• pp.79-92
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• 2016

The objective of this study is to classify the types of rural areas (138 $si{\cdot}gun$) considering settlement environment by Decision Tree Method (CHAID). The CHAID method was used for decision tree algorithm and the seven dependant variables and 5 explanatory variables were selected, respectively. By decision tree method, rural areas were finally classified into six groups through three separate processes. City area, lower area in aging rate and higher area in farmland area ratio was analyzed to be relatively rich rather than other area in the case of settlement environment index. In the future, this study will be able to utilize as a reference to the planning of rural development projects.

• 한국축산시설환경학회지
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• 제7권1호
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• pp.45-56
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• 2001

The following statistics are the results of a survey that analyzed the classification of livestock area and spatial mobility based upon the number of livestock and an area of 151 towns and cities from 1975 to 1995. 1. As a results of analysis about the degree of location concentration using C.V., Korean native cattles (HanWoo) and swines are becoming more centralized while dairies and chickens are becoming decentralized. 2. 49 regions, that is 32.5%, were classified as growing regions, 30 regions (19.9%) were stagnant regions and 72 regions (47.7%) were withering regions. The classification was based upon the calculation according to the numbers of converted grown animals and growth index. Kyonggi-do and Chungchongnam-do, specifically, took up 26.6% and 24.5% of the developing regions which shows that these two regions are the dominant regions for livestock. 3. Kyongsangbuk-do and Chungchongnam-do play significant roles for overall livestock, and Chollanam-do is considering a transition from swines to Korean native cattles and Kyongsangbuk-do is shifting from Korean native cattles to swines.

• 한국산림과학회지
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• 제100권3호
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• pp.494-503
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• 2011

본 연구는 백두대간보호지역에 IUCN 보호지역 관리 카테고리 시스템을 시범적으로 적용하여, 백두대간보호지역 내 중복지정된 다양한 보호지역을 IUCN 관리 카테고리로 재분류하고자 수행되었다. 카테고리 적용을 위한 분류키를 개발하고 각 보호지역의 지정 목적에 근거하여 적합한 IUCN 카테고리로 분류하였다. 국립공원을 포함한 산림보호지역 관리자와 관련 전문가를 대상으로 의견을 수렴한 결과, 현재 카테고리 IV로 일괄 분류된 백두대간보호지역을 개별 보호지역의 지정목적을 살리는 방향으로 분류하는 것이 더 타당함이 제시되었다. 예컨대 원시림 유형으로 지정된 산림유전자원보호구역을 카테고리 Ia로 하고 나머지 유형은 IV로, 과거 보안림 중 경관보호구역으로 명칭이 변경된 곳은 V로 분류하고 나머지는 VI으로 분류하는 등의 방안이 제시되었다. 향후 세계보호지역데이터베이스(WDPA)에 백두대간보호지역 카테고리 재조정 등록과 더불어 국가적 차원에서 산림보호지역의 관리효과성 평가와 IUCN 카테고리별 분류 및 WDPA에 등록이 이루어져야 할 필요성을 제안하였다.

• 대한원격탐사학회지
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• 제39권4호
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• pp.409-423
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• 2023

North Korea is carrying out reclamation activities in tidal flat areas distributed throughout the west coast. Previousremote sensing research on North Korean tidal flats either failsto reflect recent trends or focuses on identifying and analyzing tidal flats. Thisstudy aimsto quantify the impact of recent reclamation activitiesin North Korea's coastal areas and contribute knowledge useful for determining the best remote sensing methods for coastal areas with limited accessibility, such as those in North Korea. Using Landsat-8 OLI images from 2014-2022, we analyzed land cover changesin an area on the west coast of Pyeonganbuk-do where reclamation activities are underway. Unsupervised classification using the normalized difference water index and the random forest classification technique were each used to divide the study area into classification groups, and changes in their areas over time were analyzed. The resultsshow a clear decrease in the water area and a tendency to increase cultivated area,supporting the evidence that North Korea'sreclamation isfor agricultural land expansion.Along coasts behind seawalls, the water area decreased by nearly half, and the cultivated area increased by over 2,300%, indicating significant changes and highlighting the anthropogenic nature of the cover changes due to reclamation. Both methods demonstrated high accuracy, making them suitable for detecting cover changes caused by reclamation. It is expected that further quality research will be conducted through the use of high-resolution satellite images and by combining data from multiple satellites in the future.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.653-655
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• 2005

More than 70 percent of terrestrial territory of Korea is mountainous areas where degradation becomes serious year by year due to illegal tombs, expanding golf courses and stone mine development. We elaborate the potential usage of high resolution image for the monitoring of the phenomena. We made the classification of tombs and the statistical radiometric characteristics of graves were identified from this project. The graves could be classified to 4 groups from the field survey. As compared with grouping data after clustering and discriminant analysis, the two results coincided with each other. Object-oriented classification algorithm for feature extraction was theoretically researched in this project. And we did a pilot project, which was performed with mixed methods. That is, the conventional methods such as unsupervised and supervised classification were mixed up with the new method for feature extraction, object-oriented classification method. This methodology showed about $60\%$ classification accuracy for extracting tombs from satellite imagery. The extraction of tombs' geographical coordinates and graves themselves from satellite image was performed in this project. The stone mines and golf courses are extracted by NDVI and GVI. The accuracy of classification was around 89 percent. The location accuracy showed extraction of tombs from one-meter resolution image is cheaper and quicker way than GPS method. Finally we interviewed local government officers and made analyses on the current situation of mountainous area management and potential usage of KOMPSAT-II images. Based on the requirement analysis, we developed software, which is to management and monitoring system for mountainous area for local government.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.403-413
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• 2022

Classification and analysis are improved factors for the realtime automation system. In the field of agriculture, the cultivation of different paddy crop depends on the atmosphere and the soil nature. We need to analyze the moisture level in the area to predict the type of paddy that can be cultivated. For this process, Ensemble Modulation Pattern system and Block Probability Neural Network based classification models are used to analyze the moisture and temperature of land area. The dataset consists of the collections of moisture and temperature at various data samples for a land. The Ensemble Modulation Pattern based feature analysis method, the extract of the moisture and temperature in various day patterns are analyzed and framed as the pattern for given dataset. Then from that, an improved neural network architecture based on the block probability analysis are used to classify the data pattern to predict the class of paddy crop according to the features of dataset. From that classification result, the measurement of data represents the type of paddy according to the weather condition and other features. This type of classification model assists where to plant the crop and also prevents the damage to crop due to the excess of water or excess of temperature. The result analysis presents the comparison result of proposed work with the other state-of-art methods of data classification.

• 한국도서관정보학회지
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• 제38권3호
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• pp.161-181
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• 2007

이 연구는 도서관의 지도자료를 분류하는데 필요한 이상적인 분류표를 제안하기 위해서 세계적으로 이 분야의 권위있는 분류표인 LCC의 지도자료 분류의 변천과정 분석과 전개 및 그 특성을 면밀히 검토하였다. 이 검토를 바탕으로 하여 KDC에서의 지도자료의 분류를 위한 분류표의 적용방안을 지역구분표의 통합과 세분화 그리고 주제구분표의 적용을 중심으로 제시하는 것이 이 연구의 주된 목적이다.