• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.42-51
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• 2017

Snowfall is an important natural hazard in Korea. In recent years, the socioeconomic importance of impact-based forecasts of meteorological phenomena have been highlighted. To further develop forecasts, we first need to analyze the climatic characteristics of each region. In this study, homogeneous regions for snowfall analysis were classified using a self-organizing map for impact-based forecast and warning services. Homogeneous regions of snowfall were analyzed into seven clusters and the characteristics of each group were investigated using snowfall, observation days, and maximum snowfall. Daegwallyeong, Gangneung-si, and Jeongeup-si were classified as areas with high snowfall and Gyeongsangdo was classified as an area with low snowfall. Comparison with previous studies showed that representative areas were well distinguished, but snowfall characteristics were found to be different. The results of this study are of relevance to future policy decisions that use impact-based forecasting in each region.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.1
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• pp.23-30
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• 2015

A shoreline mapping is essential for describing coastal areas, estimating coastal erosions and managing coastal properties. This study has planned to map the 3D shorelines with the airborne LiDAR(Light Detection and Ranging) data and the KOMPSAT-2 imagery, acquired in Uljin, Korea. Following to the study, the DSM(Digital Surface Model) is generated firstly with the given LiDAR data, while the NDWI(Normalized Difference Water Index) imagery is generated by the given KOMPSAT-2 imagery. The classification method is employed to generate water and land clusters from the NDWI imagery, as the 2D shorelines are selected from the boundaries between the two clusters. Lastly, the 3D shorelines are constructed by adding the elevation information obtained from the DSM into the generated 2D shorelines. As a result, the constructed 3D shorelines have had 0.90m horizontal accuracy and 0.10m vertical accuracy. This statistical results could be concluded in that the generated 3D shorelines shows the relatively high accuracy on classified water and land surfaces, but relatively low accuracies on unclassified water and land surfaces.

• Journal of Fashion Business
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• v.11 no.4
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• pp.42-51
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• 2007

The purpose of this study is to develop clothing design for mild dementia patients who display positive action in clothing for the improvement of the quality of life of the dementia patients following the symptoms of patients in accordance with the clinical classification to provide the functional assistance for ordinary living as well as emotional stability and aesthetic functions for the dementia elderly. The method of research is performed for theories through the advanced research and documentary data, and interpreted in functional and aesthetic level on the basis of the result of advance survey related to the characteristics of the mild dementia patients and clothing conduct of elderly with light dementia to select the material, color, decoration and functional design with four pairs for women and two pairs for men. Designs for the total of six have been actually produced by making the map, including the material swatch, color and others. The questionnaire as the measuring tool is used and the assessment category is made for the adaptability of design on each category. On the six clothes that are produced for the mild dementia patients, the statistics package SPSS Ver 12.0 is used for the data analysis on questions 8-10 for the frequency analysis. In overall, the leisure clothing for mild dementia patients developed from this research are generally satisfied, and overall type, material, color, detail and arrangement are generally evaluated highly, and have the assessment of normal or better in the color size and type.

• Journal of Korean Society of Forest Science
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• v.89 no.4
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• pp.470-479
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• 2000

Management units of forest vegetation established on Mt. Moodeung (1,186.8m), a typical urban forest at Kwangju city located in the southwestern Korea, was classified phytosociologically and its spatial distribution mapped out with special reference to its ecological conservation and management. Management units of this area were classified into three categories; twenty-one higher units, ten lower units and nine lowest units, giving a total of 31 zones. Total area for detailed mapping was 2,779.5ha, of which natural vegetation accounted for 2192.0ha (78.9%), residing in most part of this area, artificial vegetation for 159.1ha (5.7%), and non-forested area including arable area, burned area and others for 428.4ha (15.5%). The ratio of natural forest element showed 93.2%, which is much higher when compared with those of other urban forests.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.6
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• pp.29-51
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• 2001

The purpose of this research is to analyze of biotope structure focused on the evaluation for the species and biotope preservation in the case of Soosung District in Daegu metropolitan city. We analyzed the structure of urban biotope, and investigated the disposition of space and several characteristics through the material collection relating to the existing urban ecological material and the field investigation. The results of this study were as follows; 1) The result of biotope type classification was divided into 17 biotope type groups and 90 biotope types belonging to them. 2) The biotope type of mixed forest(QD) has the highest rate in occupation area, 1.764ha and the biotope type of cultivation areas by vinyle-hothouse(KC) has the lowest rate, 0.3ha. 3) In the result of the first evaluation for the species and biotope preservation, biotope types such as QB, QI, PA, PB, NB and NC etc. possess great value. Particulary, these biotope types come from forest areas and transition zone. They have not appeared in the inner of cities. 4) The biotope types such as CA, NA, NB, ND and PB are proved to possess high value in the result of rarity and riskiness evaluation. There appear EE, MA, NB, QC and QD in IV grade which is impossible to have them regenerative. They usually have appeared in forest areas. 5) There emerge 3a biotope type that has the highest value in the result of the second evaluation such as CC, EE, KF, LD, MB, NC, PB, QB and QI etc. Most of them were presented into the large area of site size and were distributed in the forest areas intensively. So, it is certain that the space for the species and biotope preservation connected with residential district is scarce. 6) The detailed biotope plan must be made out specially continuously. It is about biotope spaces that are especially important for the species and biotope preservation from the result of this research. Also, the study on the detailed index settlement of the urban landscape plan based on the biotope map must be continued.

• Journal of the Korean Institute of Landscape Architecture
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• v.35 no.1 s.120
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• pp.79-87
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• 2007

The objective of this study was to delineate forest patches in the cities around the Geum-buk mountains at the north of the Geum River using multiplesatellite remote sensing data. Landsat visible and near-infrared satellite images obtained at multiple dates in the growing season were used to create a forest distribution map. Fragstats 3.3 was used to get the landscape indices delineating the distribution of forest patches. Additional ground truth data was used to assess the accuracy of the classification. Factor analysis was used to get the 26 landscape indices clustered into 4 factors. Factor I was labeled as' size of forest patches', factor II as 'fragmentation of forest patches', factor III as 'shape of forest patches', and factor IV as 'complexity of forest patches'. Factor I described large patches and their core area, while others did small patches and their shape and complexity. Cities including Cheonan, Gongju, Cheongyang, and Boryeong near the main ridge of the Geumbuk Mtns. had a small number of large-sized forest patches. However, cities including Taean, Seosan, Dangjin, Hongseong near the ridge of the western Geumbuk Mtns. had a large number of small-sized forest patches. Finally, this study showed that the region near the coast line in Chung-nam province has various types of forest patches having an irregular forest edge due to the elevation and slope lower than the one of the region far from the coast line which is near the ridge of the Geum-buk Mountains. Remote sensing data were useful to understand the distribution of forest patches, and landscape indices could be keys to delineate the relationship between forest patches. And the factor analysis, which simplified 26 landscape indices into 4 landscape patterns allowed us to understand the distribution and relationship of forest patches in an easy way.

• Journal of KIISE:Software and Applications
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• v.31 no.1
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• pp.61-70
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• 2004

It is difficult to find an appropriate web site because exponentially growing web contains millions of web documents. Personalization of web search can be realized by recommending proper web sites using user profile but more efficient method is needed for estimating preference because user's evaluation on web contents presents many aspects of his characteristics. As user profile has a property of non-linearity, estimation by classifier is needed and combination of classifiers is necessary to anticipate diverse properties. Structure adaptive self-organizing map (SASOM) that is suitable for Pattern classification and visualization is an enhanced model of SOM and might be useful for web mining. Fuzzy integral is a combination method using classifiers' relevance that is defined subjectively. In this paper, estimation of user profile is conducted by using ensemble of SASOM's teamed independently based on fuzzy integral and evaluated by Syskill ＆ Webert UCI benchmark data. Experimental results show that the proposed method performs better than previous naive Bayes classifier as well as voting of SASOM's.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.9 no.2
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• pp.81-89
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• 2006

The purpose of this study was to evaluate the applicability of small RC(radio controlled) helicopter and single lens reflect camera as SFAP(Small Format Aerial Photography) aquisition system to monitor the vegetation coverage of wetland. The system used to take pictures of small artificial wetland were a common optical camera(Nikon F80 with manual lens whose focal length was 28mm) attached to the bottom of a RC helicopter with a 50 cubic inch size glow engine. Three hundreds pictures were taken at the altitude of 50m above the ground, from 23rd June to 7th September 2005. Four from the images were selected and scanned to digital images whose dimension were 2048${\times}$1357 pixels. Those images were processed and rectified with GCP(Ground Control Poins) and digital map, and then classified by the supervised- classification module of image processing program PG-steamer Version 2.2. The major findings were as follows ; 1. The final images processed had very high spatial resolution so that the objects bigger than 30mm like lotus(Nelumbo nucifera), rock and deck were easily identified. 2. The dominant plants of the monitoring site were Monochoria ragianlis, Typha latifolia, Beckmannia syzigachne etc. Because those species have narrow and long leaves and form irregular biomass, the individuals were hardly identifiable, but the distribution of population were easily identifiable depending on the color difference. 3. The area covered by vegetation was rapidly increased during the first month of monitoring. At the beginning of the monitoring 23th June 2005, The rate of area covered by vegetation were only 34%, but after 27 and 60 days it increased to 74%, and the 86% respectively.

• Journal of KIISE
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• v.43 no.11
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• pp.1201-1209
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• 2016

As the use of SNS continues to increase, various related studies have been conducted. According to the effectiveness of the topic model for existing theme extraction, a huge number of related research studies on topic model based analysis have been introduced. In this research, we suggested an automation system to analyze topics of each country and its distribution in twitter by combining world map visualization and issue matching method. The core system components are the following three modules; 1) collection of tweets and classification by nation, 2) extraction of topics and distribution by country based on topic model algorithm, and 3) visualization of topics and distribution based on Google geochart. In experiments with USA and UK, we could find issues of the two nations and how they changed. Based on these results, we could analyze the differences of each nation's position on ISIS problem.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.6
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• pp.838-848
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• 2013

The Community Multiscale Air Quality (CMAQ) model is capable of providing high quality atmospheric chemistry profiles through the utilization of high-resolution meteorology and emissions data. However, it cannot simulate air quality accurately if input data are not appropriate and reliable. One of the most important inputs required by CMAQ is the air pollutants emissions, which determines air pollutants concentrations during the simulation. For the CMAQ simulation of Korean peninsula, we, in general, use the Korean National Emission Inventory data which are estimated by Clean Air Policy Support System (CAPSS). However, since they are not provided by model-ready emission data, we should convert CAPSS emissions into model-ready data. The SMOKE is the emission model we used in this study to generate CMAQ-ready emissions. Because processing the emissions data is very monotonous and tedious work, we have developed CAPSS2SMOKE program to convert CAPSS emissions into SMOKE-ready data with ease and effective. CAPSS2SMOKE program consists of many codes and routines such as source classification code, $PM_{10}$ to $PM_{2.5}$ ratio code, map projection conversion routine, spatial allocation routine, and so on. To verify the CAPSS2SMOKE program, we have run SMOKE using the CAPSS 2009 emissions and found that the SMOKE results inherits CAPSS emissions quite well.