위암환자의 수술후 조기성적과 관련한 임파관침습의 의의

정승규(Seung-Kyu Jeong),조용관(Yong-Kwan Cho),주희재(Hee-Jae Joo),이경포(Kyung-Po Lee),김명욱(Myung-Wook KIm) 대한외과학회 1997 Annals of Surgical Treatment and Research Vol.53 No.4

서식지적합성 모형을 이용한 수변지역 양서류 서식지 분석

정승규 ( Seung Gyu Jeong ),서창완 ( Chang Wan Seo ),윤재현 ( Jae Hyun Yoon ),이동근 ( Dong Kun Lee ),박종훈 ( Jong Hoon Park ) 한국환경영향평가학회 2015 환경영향평가 Vol.24 No.2

The objective of this study was to analyze characteristics of distribution of amphibian species and the affecting ecological factors. For the study, habitat environment factors were determined and applied to a habitat suitability model for the data collected from the Seom River in Hoengseong County and Wonju City, Gangwon Province, Korea between March 2013 to October 2013. The analyzed amphibian species were Rana nigromaculata, Hyla japonica, Rana dybowski, and Rana rugosa Temminck and Schlegel, and a logistic regression model was used with the pseudo-absence data. The result of the model analysis suggests that the major factors for Rana nigromaculata are distance to vegetation and rock and that for Hyla japonica is waterway. Rana dybowski and Rana rugosa Temminck and Schlegel have similar habitat characteristics, but the latter is shown to be dominant due to its wider habitat preference. According to the species richness model, the analyzed amphibian species are shown to have tendency to move between valleys or streams. This study quantitatively analyzed habitat environment characteristics using species distribution model, however, there is a limitation in terms of analysis on food factor and connectivity with other species. Combined with additional density or habitat analysis on birds or fish, this study can lead to more comprehensive analysis on biological environment factors.

MaxEnt 모형과 고라니의 이동행태를 고려한 수변지역 이동통로 적지선정

정승규(Jeong, Seung Gyu),이화수(Lee, Hwa Su),박종훈(Park, Jong Hoon),이동근(Lee, Dong Kun),박종화(Park, Chong Hwa),서창완(Seo, Chang Wan) 대한공간정보학회 2015 대한공간정보학회지 Vol.23 No.1

최근 우리나라는 하천정비사업으로 인해 수변생태계는 큰 위협을 받고 있으며, 수변의 야생동물은 고립되고 이동의 영향을 받고 있다. 본 연구의 목적은 수변지역을 대상으로 이동통로 적지를 선정하는 것이다. 목표종은 고라니를 대상으로 하였으며 Maximum Entropy 모형과 눈길위흔적조사 자료를 이용하여 최소비용거리에 따른 야생동물의 행동생태학적인 관점에서 수변지역의 이동통로 적지를 선정하였다. 연구결과 첫째, 수변인접서식지 분석에서 고라니의 잠재서식지 영향을 주는 중요요소는 수계와의 거리, 영급, 토지피복, 경사, 향, 고도, 밀도, 도로와의 거리순으로 나타났으며, 수변에서는 토지피복, 수변면적, 지류와의 거리, 시가지와의 거리가 주요 변수로 나타났음을 알 수 있었다. 둘째, 적지선정 지점은 수변과 인접지역의 각각의 서식지에서 적합도가 높은 지점과 이동경로를 고려하는 것이 바람직한 것으로 판단된다. 적지선정 지점들은 수변의 산림, 초지 및 농경지가 고라니의 주요 서식지이나 도로나 제방으로 인해서 연결성이 저하된 곳이었으며, 이동에 영향을 받아 우회하는 것을 눈길위흔적조사를 통해 확인하였다. 마지막으로 고라니는 수변지역에서 지류를 통해서 수변과 인근의 좋은 서식지를 선호하는 것으로 유추되었다. 본 연구에서 제시한 적지 선정 방법은 구조적이고 기능적인 분석을 통합한 방법으로 적지선정에 적용한다면 시간적 경제적인 소모를 줄일 수 있을 것이다. Stream restoration projects have become threats to riparian ecosystem in Rep. of korea. Riparian wildlife becomes isolated and the animals are often experience difficulties in crossing riparian corridors. The purposes of this study is to select suitable wildlife passages for wild animals crossing riparian corridors. Maximum entropy model and snow tracking data on embankment in winter seasons were used to develop species distribution models to select suitable wildlife passages for water deer. The analysis suggests the following. Firstly, most significant factors for water deer’s habitat in area nearby riparian area are shown to distance to water, age-class, land cover, slope, aspect, digital elevation model, tree density, and distance to road. For the riparian area, significant factors are shown to be land cover, size of riparian area, distance to tributary, and distance to built-up. Secondly, the suitable wildlife passages are recommended to reflect areas of high suitability with Maximum Entropy model in riparian areas and the surrounding areas and moving passages. The selected suitable areas are shown to be areas with low connectivity due to roads and vertical levee although typical habitats for water deer are forest, grassland, and farmland. In addition, the analysis of traces on snow suggests that the water deer make a detour around the artificial structures. In addition, the water deer are shown to make a detour around the fences of roads and embankment around farmland. Lastly, the water deer prefer habitats around riparian areas following tributaries. The method used in this study is expected to provide cost-efficient and functional analysis in selecting suitable areas.

연구논문(硏究論文) : 서식지 적합성 평가를 이용한 수변지역 핵심 보전지역 선정 -수달을 대상으로-

정승규 ( Seung Gyu Jeong ),박종화 ( Chong Hwa Park ),우동걸 ( Dong Gul Woo ),이동근 ( Dong Kun Lee ),서창완 ( Chang Wan Seo ),김호걸 ( Ho Gul Kim ) 한국환경복원기술학회 2015 한국환경복원기술학회지 Vol.18 No.2

In Korea, significant riparian areas have been developed due to river maintenance projects. Introduction of new riparian facilities can negatively affect wildlife in the riparian areas. This study focuses on selecting core conservation areas for Eurasian Otter(Lutra lutra) to support decision making process for development of riparian areas. For the study, first of all, field data of study site were collected by field surveys. Secondly, stream naturalness was assessed to understand physical environments of the study sites. Thirdly, habitat suitability was assessed using occurrence data of Eurasian Otter and environmental data. Lastly, core areas for conservation was selected by comparing and synthesizing stream naturalness map and habitat suitability map. The selected core areas showed several characteristics. The number of artificial facilities is low in the core areas. Rocks which are preferred by Eurasian Otter to eat and excrete are plentiful in the core areas. Also, the ratio of adjacent farmland is high. Based on the analyses, it is expected that this study can contribute to decision making process for environmental spatial plans to better conserve habitats of Eurasian Otter.

어류군집의 종분포모형을 이용한 수변지역 연결성 평가

정승규(Jeong, Seung),이동근(Lee, Dong Kun),류지은(Ryu, Ji Eun) 대한공간정보학회 2015 대한공간정보학회지 Vol.23 No.2

하천 코리더는 종의 국소적 소멸을 예방하도록 분산과 이동을 원활하게 한다. 그러나 우리나라는 수변의 치수, 친수, 이수와 같은 기능을 중시한 결과 수중보, 댐과 같은 인공구조물 설치로 하천 코리더의 연결성을 약화시켜왔다. 본 연구는 강원도 횡성의 섬강을 대상으로 어류의 군집에 영향을 미치는 변수를 종분포모형을 이용하여 추출하고 수변지역의 연결성을 종풍부도와 희귀도로 평가하는 것이다. 현장조사 결과 출현종수는 38종 7,061개체로 나타났으며, 연구결과는 다음과 같다. 첫째, 종분포모형 결과 어류의 종풍부도에 영향을 주는 변수는 유속과 급여울, 하천의 폭과 수변의 면적으로 선택되었으며, 모형의 정확도 검증 결과 상관계수는 0.83, 절대평균오차는(MAPE)는 19.2%로 적합한 것으로 나타났다. 둘째, 희귀도가 낮은 지점은 수로가 직강화된 전천과 횡성군 시가화지역 인근으로 나타났으며, 높은 지점은 하천 폭이 넓고 섬강과 전천이 합류하는 지점과 하도습지가 있는 하류지점으로 분석되었다. 연결성이 낮은 지점은 수변의 완충림이 거의 없고 보(洑)가 설치되어 있는 지점으로 나타났으며, 높은 지점은 하천 주변에 농경지 및 산림과 같은 자연토지피복이 우점하고 수변의 모래/자갈의 비율이 높은 곳이 연결성이 높게 평가되었다. 본 연구에서 제시한 결과는 복원을 위한 가이드로 기존 수변 시설물을 개선하고 추가하여 연결성을 강화시키는데 좋은 기준이 될 것으로 판단한다. River corridors facilitate dispersal and movement and prevent local extinction of species. As a result of stream restoration projects, which include installation of waterfront and flood control structures, the number of animals, which rely on river corridor, is decreasing. For the study, factors affecting fish assembly were extracted by a species distribution model with the fish data collected from the Seom River in Hoengseong County and City of Wonju, Ganwon Province, Korea between March to October 2013. The riparian connectivity was assessed using species richness and rarity. According to result of the field survey, there were 38 species and 7,061 individuals for fish. The analysis suggests the following. Firstly, factors affecting fish richness in species distribution model results are shown to be velocity, riffle, riparian width, and water width. The accuracy of the model proves to be suitable with the correlation coefficient of 0.83 and MAPE of 19.2%. Secondly, the low rarity area is shown to be straight streams in Jeon river near to Hongseong County and the high rarity area to be streams with large width, existing alluvial area at channel junction between Jeon river and Seom river. Thirdly, according to connectivity results, areas where weirs are installed or riparian buffer area is removed showed low connectivity. The areas where farmland near riparian and forest areas showed high connectivity. The results of this study can be utilized to improve current facilities and enhance connectivity as a restoration guide.

위장관 평활근 종양의 예후 지표로서 PCNA 면역조직화학염색의 유용성

정승규(Seung Kyu Jeong),최정환(Jeong Hwan Choi),오수명(Soo Myung Oh),고영관(Yung Kwan Ko),박재현(Jae Hoon Park) 대한외과학회 1994 Annals of Surgical Treatment and Research Vol.46 No.6

MODIS 다중시기 영상을 이용한 북한 다락밭 분류

정승규 ( Seung Gyu Jeong ),박종훈 ( Jong Hoon Park ),박종화 ( Chong Hwa Park ),이동근 ( Dong Kun Lee ) 한국환경복원기술학회 2016 한국환경복원기술학회지 Vol.19 No.1

Forest degradation reduces ecosystem services provided by forest and could lead to change in composition of species. In North Korea, there has been significant forest degradation due to conversion of forest into terrace fields for food production and cut-down of forest for fuel woods. This studyanalyzed the phenological changes in North Korea, in terms of vegetation and moisture in soil and vegetation, from March to Octorber 2013, using MODIS (MODerate resolution Imaging Spectroradiometer) images and indexes including NDVI (Normalized Difference Vegetation Index), NDSI (Normalized Difference Soil Index), and NDWI (Normalized Difference Water Index). In addition, marginal farmland was derived using elevation data. Lastly, degraded terrace fields of 16 degree was analyzed using NDVI, NDSI, and NDWI indexes, and marginal farmland characteristics with slope variable. The accuracy value of land cover classification, which shows the difference between the observation and analyzed value, was 84.9% and Kappa value was 0.82. The highest accuracy value was from agricultural (paddy, field) and forest area. Terrace fields were easily identified using slope data form agricultural field. Use of NDVI, NDSI, and NDWI is more effective in distinguishing deforested terrace field from agricultural area. NDVI only shows vegetation difference whereas NDSI classifies soil moisture values and NDWI classifies abandoned agricultural fields based on moisture values. The method used in this study allowed more effective identification of deforested terrace fields, which visually illustrates forest degradation problem in North Korea.

Audio Spectrogram Transformer 를 이용한 폐음 기반 호흡기 질환 분류에 관한 연구

정승규(Jeong Seung Gyu),김성은(Kim Seong-Eun) 한국통신학회 2023 한국통신학회 학술대회논문집 Vol.2023 No.6

노동분쟁해결절차에 관한 국가간 비교분석 -한국과 중국의 노동쟁의처리제도를 중심으로-

정승규 ( Seong Kyou Jeong ) 청주대학교 법학과 2009 法學論集 Vol.31 No.1

MODIS 다중시기 영상의 선형분광혼합화소분석을 이용한 한반도 토지피복분류도 구축

정승규 ( Seung Gyu Jeong ),박종화 ( Chong Hwa Park ),김상욱 ( Sang Wook Kim ) 大韓遠隔探査學會 2006 大韓遠隔探査學會誌 Vol.22 No.6

본 연구의 목적은 MODIS 다중시기영상과 선형분광혼합화소분석(Linear Spectral Mixture Analysis: LSMA)을 이용하여 한반도의 토지피복도를 작성하는 것이다. 다양한 공간해상도와 광역적인 촬영스케일의 MODIS 영상에 LSMA를 이용하여 토지피복분류의 정확도의 향상과 한반도 생물계절적인 특성을 분석하고자 하였다. LSMA는 하나의 화소를 단일의 지표물로 가정하여 영상을 처리하는 기존의 기법과 달리 대상지의 토지피복 특성을 가장 잘 반영하는 순수한 물체의 화소값(Endmember)을 선택하여 자연환경요소들의 하나하나를 분리하는 기법이다. 본 연구에서 MODIS 다중시기영상에 LSMA를 적용한 결과 남, 북한의 농경지 및 산림지역에 대한 서로 다른 생물계절적인 특성을 파악 할 수 있었으며, 이러한 결과 영상을 ISODATA 무감독분류기법을 통해서 대분류와 중분류하였다. 대분류에서는 79.94%의 전체 정확도를 보였으며, 농업지역은 85.45%, 산림지역은 88.12%로 다른 분류군들에 비해서 가장 높은 정확도를 보였다. 중분류에서는 산림지역과, 농업지역을 더욱 세분화 하여 분류하였다. 전체정확도는 82.02%였으며, 활엽수림 86.96%, 논 85.38%로 분류군중 가장 높은 정확도를 나타냈다. This study aims to produce land-cover maps of Korean peninsula using multi-temporal MODIS (Moderate Resolution Imaging Spectroradiometer) imagery. To solve the low spatial resolution of MODIS data and enhance classification accuracy, Linear Spectral Mixture Analysis (LSMA) was employed. LSMA allowed to determine the fraction of each surface type in a pixel and develop vegetation, soil and water fraction images. To eliminate clouds, MVC (Maximum Value Composite) was utilized for vegetation fraction and MinVC (Minimum Value Composite) for soil fraction image respectively. With these images, using ISODATA unsupervised classifier, southern part of Korean peninsula was classified to low and mid level land-cover classes. The results showed that vegetation and soil fraction images reflected phenological characteristics of Korean peninsula. Paddy fields and forest could be easily detected in spring and summer data of the entire peninsula and arable land in North Korea. Secondly, in low level land-cover classification, overall accuracy was 79.94% and Kappa value was 0.70. Classification accuracy of forest (88.12%) and paddy field (85.45%) was higher than that of barren land (60.71 %) and grassland (57.14%). In mid-level classification, forest class was sub-divided into deciduous and conifers and field class was subdivided into paddy and field classes. In mid level, overall accuracy was 82.02% and Kappa value was 0.6986. Classification accuracy of deciduous (86.96%) and paddy (85.38%) were higher than that of conifers (62.50%) and field (77.08%).