• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.239-239
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• 2021

최근 기후변화로 인해 국지성 집중호우와 태풍의 발생빈도가 증가하고 있다. 특히 우리나라 국토는 전체면적 중 산지면적이 63%에 해당하여 산지에서 발생하는 산사태와 토석류에 취약한 실정이다. 이러한 피해를 사전에 예방·대비하기 위해 국내·외에서는 재해지도를 제작하여 관리하고 있지만 대부분의 재해지도는 격자형식으로 제작되어 있어 실무자들이 활용하기에는 다소 어려움이 있다. 따라서 본 연구에서는 산지재해에 취약한 강원도 강릉시 지방도를 대상으로 산림청에서 개발한 산사태위험지도와 토석류 위험지도를 중첩하여 복합재해지도를 제작하였다. 먼저 산사태위험지도에 유역의 개념을 도로에 적용하고서 지방도로를 200m 간격으로 분할하여 도로 중심으로 유역을 제작하였으며, 해당 유역에 산사태위험면적과 토석류위험면적 값을 이용하여 도로의 등급을 1등급(매우 위험) ~ 5등급(매우 안전)으로 분류하였다. 또한 복합재해지도 결과의 검증을 위해 SINMAP모형을 이용하여 오차율을 비교분석한 결과 15% 이내인 것으로로 나타났다. 본 연구는 복합재해에 대비 할 수 있는 유역의 개념을 적용한 재해지도를 제작하며 도로관리자의 숙련도에 상관없이 재해지도를 쉽게 이해하고 활용 할 수 있을 것으로 판단된다.

• The Journal of the Acoustical Society of Korea
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• v.25 no.8
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• pp.389-394
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• 2006

Mid-Frequency bistatic reverberation level is modeled using ray theoretic algorithms. The algorithm assumes multiple forward/backward scatter along with reciprocity in the Propagation paths. The environments modeled are assumed to be range independent in bathymetry, bottom scattering and surface scattering. Mid-Frequency bistatic scattering algorithm is used as a scattering model. A comparison of predicted reverberation versus time with measured data is presented to verify the bistatic reverberation model. The result demonstrates that it is possible to obtain reasonable reverberation Predictions in experimental site.

• Journal of Radiation Industry
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• v.17 no.4
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• pp.333-344
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• 2023

To validate the numerical model used in the study of deep disposal of spent nuclear fuel, we selected benchmark cases and performed numerical model validation. We selected the DECOVALEX-THMC Task D_THM1 FEBEX Type benchmark case, which was conducted from 2003 to 2007. We analyzed the thermal-hydraulic (TH) behavior using the finite element program CODE_BRIGHT and verified the results against previous studies. The temperature results were similar to the results of DECOVALEX-THMC Task D. The saturation results showed a similar trend to the results of DECOVALEX-THMC Task D, but the time to reach full saturation was different.

• Journal of Life Science
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• v.20 no.10
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• pp.1532-1537
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• 2010

This study compared the inhibitory effects of methanol extracts from yellow and black soybeans (black soybean, Seomoktae and Seoritae) on mutagenicity using the Ames test and growth of human cancer cells (AGS human gastric adenocarcinoma, HT-29 human colon cancer, Hep 3B hepatocellular carcinoma cells). In the Ames test system using Salmonella typhimurium TA100, aflatoxin $B_1$ ($AFB_1$)-induced mutagenicity was significantly inhibited by treatments with the methanol extracts from either yellow or black soybeans in a dose dependent manner (p<0.05). The methanol extracts from various black soybeans tended to have a greater inhibitory effect compared to those from yellow soybeans. As for N-methyl-N'-nitro-N-nitrosoguamidine (MNNG)-induced mutagenicity, the methanol extracts (5 mg/assay) from black soybean, Seomoktae and Seoritae showed 51%, 61% and 53% inhibitory rates, respectively, indicating that Seomoktae, a type of black soybean, had a stronger antimutagenic activity against mutagens (both $AFB_1$ and MNNG). Methanol extracts from black soybeans showed an inhibitory rate of greater than 50% on the growth of human cancer cells (AGS, HT-29 and Hep 3B) and the inhibition was more effective in the methanol extract from Seomoktae. Our results suggested that the methanol extracts from black soybeans showed stronger inhibitory effects on mutagenicity and growth of cancer cells than those from yellow soybean. It is concluded that intake of black soybean can be recommended for improving health.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1723-1735
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• 2022

Landslides are one of the most prevalent natural disasters, threating both humans and property. Also landslides can cause damage at the national level, so effective prediction and prevention are essential. Research to produce a landslide susceptibility map with high accuracy is steadily being conducted, and various models have been applied to landslide susceptibility analysis. Pixel-based machine learning models such as frequency ratio models, logistic regression models, ensembles models, and Artificial Neural Networks have been mainly applied. Recent studies have shown that the kernel-based convolutional neural network (CNN) technique is effective and that the spatial characteristics of input data have a significant effect on the accuracy of landslide susceptibility mapping. For this reason, the purpose of this study is to analyze landslide vulnerability using a pixel-based deep neural network model and a patch-based convolutional neural network model. The research area was set up in Gangwon-do, including Inje, Gangneung, and Pyeongchang, where landslides occurred frequently and damaged. Landslide-related factors include slope, curvature, stream power index (SPI), topographic wetness index (TWI), topographic position index (TPI), timber diameter, timber age, lithology, land use, soil depth, soil parent material, lineament density, fault density, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were used. Landslide-related factors were built into a spatial database through data preprocessing, and landslide susceptibility map was predicted using deep neural network (DNN) and CNN models. The model and landslide susceptibility map were verified through average precision (AP) and root mean square errors (RMSE), and as a result of the verification, the patch-based CNN model showed 3.4% improved performance compared to the pixel-based DNN model. The results of this study can be used to predict landslides and are expected to serve as a scientific basis for establishing land use policies and landslide management policies.

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.59-70
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• 2003

이 연구는 인터넷 소비자들의 행동에 관한 연구의 일부로, 인터넷 구매자들의 구매 빈도와 그들의 인터넷에 대한 태도, 구매 동기, 인터넷 사용, 인구통계적 특성과의 관계를 살펴보았다. Georgia Institute of Technology의 Graphic Visualization and Usability Center에서 실시된 설문조사를 통해 수집된 자료를 요인분석과 회귀분석을 이용하여 분석하였다. 분석 결과. 인터넷 쇼핑에 대한 소비자들의 태도(상대적 잇점. 안전성), 인터넷 판매자에 대한 소비자들의 태도(고객 서비스). 인터넷 브라우징 빈도, 소득, 교육이 인터넷 구매자들의 구매 빈도에 유의한 영향을 미치는 것으로 나타났다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.9 no.2
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• pp.119-125
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• 1991

On hill slope, apartment, housing, and school construction may be many potential problems and damagemay be involved in construction. Model sites for landslides are two apartment and high school areas in Pusan, 1991. This paper is described the landslides forecasting in photointerpretation of aerial photographs.

• 프린팅코리아
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• s.35
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• pp.160-161
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• 2005

PDF를 전문적으로 개발.공급하고 있는 유니닥스(주)(대표 정기태). 2000년 8월에 (주)코아기술에서 분석한 이 업체는 ‘PDF의 국산화’라는 캐치프레이즈를 내걸고 맥용 ezPDF Gate 1.0을 발표하게 된다. 동년 10월, (주)한글과컴퓨터에 OEM 방식으로 납품을 시작해 롯데 캐논(2001), 국회(2002), 외환은행(2003), 노동부(2004) 등의 거래처를 확보했다. 또 올 1월, ezPDF Builder Lite 출시에 이어 3월부터 ezPDF Bzone(웹북 서비스)를 개설, 본격적으로 국내 S/W 시장에 진입했다. 정기태(42) 사장을 통해 국내 PDF 시장의 흐름과 기술 현황, 향후 진로에 대해 조명한다.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.3
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• pp.1-17
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• 2013

The purpose of this study was to identify the relationships among self-esteem, physical appearance comparison, media concern, sociocultural attitude toward appearance, body attitudes, and life satisfaction. Data were collected from a convenience sample of 232 female undergraduate students. Data were analyzed using factor analysis, correlation, and multiple regression. The result showed that there was a correlation between physical appearance comparison and media concern. Self-esteem, physical appearance comparison, and media concern had an indirect influence on body attitudes through sociocultural attitude toward appearance. Self-esteem and physical appearance comparison had a direct effect on body attitude. All variables did not have an influence on life satisfaction, except self-esteem.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2009.05a
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• pp.114-119
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• 2009

본 논문에서는 수량화 방법과 AHP(Analytic Hierarchy Process) 기법을 사용하여 산사태 발생에 대한 통계적 예측모형을 구축하는데 목적이 있다. 수량화(Quantification) 방법은 질적변수에 수량을 부여하는 통계적 방법으로, 기 조사된 자료에 기반하여 분석을 수행하는 방법이다. 본 논문에서는 서구의 다변량분석 기법인 정준상관분석의 결과를 토대로 수량화 과정을 구체적으로 제안한다. 데이터에 기반한 수량화 방법과는 달리 AHP(Analytic Hierarchy Process) 기법은 일종의 다기준 의사결정을 위해 사용되는 기법으로, 설문자료에 기반한 분석법이다. 실제자료에 대한 분석으로 산사태 발생여부를 측정한 자료(한국지질자원연구원 제공)와 전문가 설문을 통해 수집된 자료를 이용하였다. 이들 자료에 대해 수량화 분석과 AHP분석을 통해 산사태 발생여부를 예측할 수 있는 두 종류의 평가표와 함께 로지스틱 회귀를 통한 통계적 예측모형을 개발하였으며, 두 모형간의 성능비교와 안정성 평가를 수행하였다.