• Title/Summary/Keyword: Active MAP

Search Result 266, Processing Time 0.023 seconds

Analyzing the Disaster Vulnerability of Mt. Baekdusan Area Using Terrain Factors (지형 요소를 고려한 백두산 지역의 위험도 분석)

  • Choi, Eun-Kyeong;Kim, Sung-Wook;Lee, Young-Cheol;Lee, Kyu-Hwan;Kim, In-Soo
    • Journal of the Korean earth science society
    • /
    • v.34 no.7
    • /
    • pp.605-614
    • /
    • 2013
  • Most steep slope failures tend to take place in geographically unstable areas. Mt. Baekdusan is known as a potentially active volcano in a typical mountainous terrain. This study prepared a digital elevation model of Mt. Baekdusan area and created a hazard map based on topographical factors and structural lineament analysis. Factors used in vulnerability analysis included geographical data involving aspect and slope distribution, as well as contributory area of upslope, tangential gradient curvature, profile gradient curvature, and the distribution of wetness index among the elements that comprise topography. In addition, the stability analysis was conducted based on the lineament intensity map. Concerning the disaster vulnerability of Mt. Baekdusan region, the south and south west area of Mt. Baekdusan has a highest risk of disaster (grade 4-5) while the risk level decreases in the north eastern region.

Technology Convergence Map Creation and Country Profile Analysis in the Field of Artificial Intelligence (인공지능 분야의 기술융합맵 생성 및 국가 프로파일 분석)

  • Kim, Hyun-Woo;Noh, Kyung-Ran;Ahn, Sejung;Kwon, Oh-Jin
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.12 no.1
    • /
    • pp.139-146
    • /
    • 2017
  • The interest about Artificial Intelligence through the AlphaGo Match in Korea has been increasing rapidly. So far, very little has been done in Artificial Intelligence. The aim of this paper is to reveal technology convergence and to assess the country profile in the field of artificial intelligence(AI). Technology convergence map was created after extracting USPTO patent grants and Web of Science data and generating matrics in the field of AI. Several Indicators were obtained by extracting and calculating SCOPUS Data that KISTI has. According to USPTO patent grants, it shows that AI technology has a strong relationship with several sectors such as cost/price determination, image analysis, and surgery, etc. Also, AI has a active convergence with some fields of Electrical and Electronic Engineering, BioTechnologies, and Medicine etc. According to country profile analysis, Korea reaches a global average growth index. However, in terms of specialization index (SI) and average of relative citations (ARC), there is a large gap between Korea and research leading countries.

Development of Solar Activity Monitoring Map and Its Application to the Space Weather Forecasting System

  • Shin, Junho;Moon, Yong-Jae;Lee, Jae-Hyung
    • The Bulletin of The Korean Astronomical Society
    • /
    • v.42 no.2
    • /
    • pp.83.1-83.1
    • /
    • 2017
  • SDO/AIA와 STEREO/EUVI 두 태양 관측 위성의 193 파장에서의 실시간 영상 이미지를 이용하여 Stonyhurst Heliographic Map을 작성하고 각각의 위성 데이터 분석으로부터 얻어진 결과들을 종합적으로 재구성하여 태양 전면 및 후면의 활동 영역들을 동시에 표출하는 태양 활동성 지도 (Solar Activity Monitoring Map)를 작성하는 프로그램을 제작하였다. 태양 활동성 지도를 이용하여 태양 후면에서의 극자외선 밝기 분포를 경도에 따라 등간격으로 나눈 후 각 지역에서 얻은 극자외선량을 실시간으로 갱신하며 그래프를 작성하는 프로그램도 함께 제작하고 그로부터 태양 후면 영역의 활동성이 향후 지구에 어떠한 방식으로 영향을 미칠 것인지 사전에 예측 가능하도록 하였다. 또한 태양 후면에서 발생하는 활동 영역 (Active Region) 및 코로나홀들을 자동적으로 탐지한 후 실시간으로 변화 정도를 추적 및 기록하는 프로그램도 제작하였다. 태양 활동성 지도는 193 파장에서 뿐만 아니라 두 위성이 공유하는 세 개의 동일 혹은 유사한 파장대 (171,211,304)에서 얻어진 데이터들도 함께 이용하여 각 파장대에서 독립적으로 작성하였는데 이로 인해 각각의 에너지 영역의 특성에 해당하는 태양 활동성을 동시에 표출하는 것이 가능하게 되었다. 이러한 프로그램을 이용하여 태양 후면에서의 활동 영역의 발생 및 변화를 사전에 인식하고 그들이 태양 전면으로 나타나기 전에 대비할 수 있는 예보 장치가 마련되었다. 본 연구들과 더불어 극자외선 영역에서의 태양 활동성 조사로부터 플레어의 발생을 예측할 수 있을 것인지의 가능성 여부를 타진하기 위해 과거 극자외선 관측에서 얻어진 활동 영역들의 데이터와 연 X-선 관측으로부터 기록된 플레어 발생 여부의 상관관계를 조사하는 연구가 현재 진행 중이다. 이러한 연구로부터 긍정적인 결과가 도출되는 경우 극자외선 영역에서의 관측 데이터를 이용하여 플레어 발생 가능성을 예측하는 새로운 방법을 제시하는 것이 가능해질 것이다.

  • PDF

The Preferred Fashion Style and Self-image that Korean Career Women's Seek According to Daily Situations (한국 직장여성의 일상 상황별 추구하는 자기이미지와 선호 패션스타일)

  • Hong, Hye Rim;Kim, Young In
    • Journal of the Korean Society of Costume
    • /
    • v.66 no.7
    • /
    • pp.50-68
    • /
    • 2016
  • The objectives of this study are to identify the self-image and preferred fashion styles that Korean career women seek in different daily situations, and to propose a positioning map in accords with the findings. The study conducted a survey and in-depth interviews. The study used twenty items of self-image adjectives extracted from existing studies, and eighteen fashion style stimuli collected by examining women's wear brands. The study surveyed 329 career women. Their daily situation was classified into five situations; external meeting and presentation, ordinary work, wedding and family gathering, blind date or date, and meeting with friends and acquaintances. The analysis results of this study showed that self-image and fashion style preferences are relevant to daily situation. The image most sought in external meetings and presentation was the 'Elegant' image, and the image most sought in meetings with friends and acquaintances was the 'active' image. Women on dates or blind dates sought the 'feminine' image the most, however they preferred to avoid this image during external meetings and presentations. Among fashion styles, the 'elegant/classic' style was most preferred, and the 'sexy/avant-garde' style had the lowest preference among all the styles. 'Mannish' was preferred in ordinary work and meeting with friends and acquaintances, however, it was shown as having the lowest preference level in blind dates or dates. The 'romantic/natural' style was highly preferred in meeting with friends and acquaintances, however it had a low level of preference for external meetings and presentations. This study has significance in providing practical information to utilize in fashion industry by identifying the relationship between self-image and preferred fashion style sought by career women according to daily situation, and using the results to propose a positioning map.

A Study on the Algorithm of Address Symmetric using Cadastral Map (지적도를 이용한 주소정제 알고리즘 연구)

  • Yoon, Hun-Joo;Ryu, Jung-Hee;Kim, So-Hee;Kim, Hyun-Jong;Jeong, Jong-Chul
    • 한국지형공간정보학회:학술대회논문집
    • /
    • 2004.10a
    • /
    • pp.147-154
    • /
    • 2004
  • The purpose of this study is to create address standardization through an Algorithm based on cadastral maps, as well as to establish a method of transforming one information area to all of the domestic areas in relation to the geographic information system. To do this, it analyzed the current level of e-government cadastral data and their integration strategy with addresses of both the administrator and the cadastral data. By doing this it is be able to suggest an application method for the Algorithm. The algorithm proposed from this study have a built-in GUI and correlate addresses between the administration and the cadastral map, it can analyze matching success rates. This study is to provide a more efficient method for co-operative work between private sector and public sector. In addition, we can expect that the information strategy of local government will become more active.

  • PDF

The first insight into the structure of the Photosystem II reaction centre complex at $6{\AA}$ resolution determined by electron crystallography

  • Rhee, Kyong-Hi
    • Proceedings of the Botanical Society of Korea Conference
    • /
    • 1999.08a
    • /
    • pp.83-90
    • /
    • 1999
  • Electron crystallography of two-dimensional crystalsand electron cryo-microscopy is becoming an established method for determining the structure and function of a variety of membrane proteins that are providing difficult to crystallize in three dimension. In this study this technique has been used to investigate the structure of a ~160 kDa reaction centre sub-core complex of photosystem II. Photosystem II is a photosynthetic membrane protein consisting of more than 25 subunits. It uses solar energy to split water releasing molecular oxygen into the atmosphere and creates electrochemical potential across the thylakoid membrane, which is eventually utilized to generate ATP and NADPH. Images were taken using Philips CM200 field emission gun electron microscope with an acceleration voltage of 200kW at liquid nitrogen temperature. In total, 79 images recorded dat tilt angles ranging from 0 to 67 degree yielded amplitudes and phases for a three-dimensional map with an in-plant resolution of 6$\AA$ and 11.4$\AA$ in the third dimension shows at least 23 transmembrane helices resolved in a monomeric complex, of which 18 were able to be assigned to the D1, D2, CP47 , and cytochrome b559 alfa beta-subunits with their associated pigments that ae active in electron transport (Rhee, 1998, Ph.D.thesis). The D1/D2 heterodimer is located in the central position within the complex and its helical scalffold is remarkably similar to that of the reaction centres not only in purple bacteria but also in plant photosystem I (PSI) , indicating a common evoluationary origin of all types of reaction centre in photosynthetic organism known today 9RHee et al. 1998). The structural homology is now extended to the inner antenna subunit, ascribed to CP47 in our map, where the 6 transmembrane helices show a striking structural similarity to the corresponding helices of the PSI reaction centre proteins. The overall arrangement of the chlorophylls in the D1 /D2 heterodimer, and in particular the distance between the central pair, is ocnsistent with the weak exciton coupling of P680 that distinguishes this reaction centre from bacterial counterpart. The map in most progress towards high resolution structure will be presented and discussed.

  • PDF

3D Visualization of Forest Information Using LiDAR Data and Forest Type Map (LiDAR 데이터와 임상도를 이용한 산림정보의 3차원 시각화)

  • Bang, Eun-Gil;Yoon, Dong-Hyun;Koh, June-Hwan
    • Spatial Information Research
    • /
    • v.22 no.5
    • /
    • pp.53-63
    • /
    • 2014
  • As recent interest in ecological resources increases, an effort in three-dimensional visualization of the ecological resources has increased for the restoration and preservation of the natural environment as well as the evaluation of the landscape. However, in the case of forest resources, information extraction has been active, but the effort in trying to apply that information into an effective visualization has not happened. In other words, the effort for effective visualization is lacking when it comes to the visualization of forest resources, and numerous cases are ether non-realistic or the simulation required for analysis is inappropriate. Therefore, this paper extracts information through the use of airborne LiDAR data, aerial photograph, and forest type maps to create a vegetation layer, and then uses Flora3D forest modeling tools and ArcGlobe to accurately visualize the vegetation layer into the three dimension. An effective application for restoration and preservation of ecological resources as well as analysis on the urban landscape can be considered as a result of intuitively and realistically enabling the user's awareness of forest information within the Geographic Information System.

A Study of Land Suitability Analysis by Integrating GSIS with Artificial Neural Networks (GSIS와 인공신경망의 결합에 의한 토지적합성분석에 관한 연구)

  • 양옥진;정영동
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.18 no.2
    • /
    • pp.179-189
    • /
    • 2000
  • This study is tried to organic combination in implementing the suitability analysis of urban landuse between GSIS and ANN(Artificial Neural Network). ANN has merit that can decide rationally connectivity weights among neural network nodes through procedure of learning. It is estimated to be possible that replacing the weight among factors needed in spatial analysis of the connectivity weight on neural network. This study is composed of two kinds of neural networks to be executed. First neural network was used in the suitability analysis of landuse and second one was oriented to analyze of optimum landuse pattern. These neural networks were learned with back-propagation algorithm using the steepest gradient which is embodied by C++ program and used sigmoid function as a active function. Analysis results show landuse suitability map and optimum landuse pattern of study area consisted of residental, commercial. industrial and green zone in present zoning system. Each result map was written by the Grid format of Arc/Info. Also, suitability area presented in the suitability map and optimum landuse pattern show distribution pattern consistent with theroretical concept or urban landuse plan in aspect of location and space structure.

  • PDF

Collaborative Filtering System using Self-Organizing Map for Web Personalization (자기 조직화 신경망(SOM)을 이용한 협력적 여과 기법의 웹 개인화 시스템에 대한 연구)

  • 강부식
    • Journal of Intelligence and Information Systems
    • /
    • v.9 no.3
    • /
    • pp.117-135
    • /
    • 2003
  • This study is to propose a procedure solving scale problem of traditional collaborative filtering (CF) approach. The CF approach generally uses some similarity measures like correlation coefficient. So, as the user of the Website increases, the complexity of computation increases exponentially. To solve the scale problem, this study suggests a clustering model-based approach using Self-Organizing Map (SOM) and RFM (Recency, Frequency, Momentary) method. SOM clusters users into some user groups. The preference score of each item in a group is computed using RFM method. The items are sorted and stored in their preference score order. If an active user logins in the system, SOM determines a user group according to the user's characteristics. And the system recommends items to the user using the stored information for the group. If the user evaluates the recommended items, the system determines whether it will be updated or not. Experimental results applied to MovieLens dataset show that the proposed method outperforms than the traditional CF method comparatively in the recommendation performance and the computation complexity.

  • PDF

Correlations between Spatial Distribution of Alien Plants and Land Cover - Focused on National Ecosystem Survey - (외래식물의 공간분포와 토지피복간의 상관성 연구 - 전국자연환경조사 자료를 중심으로 -)

  • Jung, Tae-Jun;Shin, Hyun-Chul;Shin, Young-Kyu;Kim, Myung-Jin
    • Journal of Environmental Impact Assessment
    • /
    • v.22 no.5
    • /
    • pp.455-466
    • /
    • 2013
  • The aim of this study is to seek application plans of National Ecosystem Survey database based on comparison and examination of feasible analysis methods for distribution characteristics of alien plants. In order to set up a correlation analysis method between alien plants and environmental factors, we had reviewed the 3rd National Ecosystem Survey guide book and consequently, two kinds of analysis method were tested. One was 1/25,000 scale map boundary based analysis and the other was representative mountain area based analysis. In this study we restricted the research area to select reliable surveyed database from whole "2011 National Ecosystem Survey flora database" according to two major criteria. First, an area defined by 1/25,000 scale map boundary and representative mountain area where the number of surveyed flora records should be within top 20%. Second, land cover map should also be built up inside that area. As a result, 25 map boundaries and 25 representative mountain areas were extracted to be analyzed. To limit a boundary for every representative mountain area we had analyzed distribution of environmental factors around that area by manual inspection with SPOT-5 remote sensed satellite image then designated 3km buffer zone from each alien plant location in that area. After then, naturalized index (NI) and urbanized index (UI) was calculated and correlations analysis was carried out. With the result of correlation analysis by map boundary only agricultural land area showed significant value of r (0.4~0.6, correlated) and the rest of factors did not. In the case of representative mountain area, the result showed that agricultural land, road and forest area showed significant value of r (0.6~0.8, highly correlated) which was corresponding to existing researches. Therefore, representative mountain area based method is preferable when using the alien plants database of National Ecosystem Survey for species distribution analysis. And also, considering the way of database utilization is strongly suggested at the first stage of survey planning for promoting active use of national ecosystem survey database.