• Title/Summary/Keyword: E. Study map

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Selection Method for Installation of Reduction Facilities to Prevention of Roe Deer(Capreouls pygargus) Road-kill in Jeju Island (제주도 노루 로드킬 방지를 위한 저감시설 대상지 선정방안 연구)

  • Kim, Min-Ji;Jang, Rae-ik;Yoo, Young-jae;Lee, Jun-Won;Song, Eui-Geun;Oh, Hong-Shik;Sung, Hyun-Chan;Kim, Do-kyung;Jeon, Seong-Woo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.26 no.5
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    • pp.19-32
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    • 2023
  • The fragmentation of habitats resulting from human activities leads to the isolation of wildlife and it also causes wildlife-vehicle collisions (i.e. Road-kill). In that sense, it is important to predict potential habitats of specific wildlife that causes wildlife-vehicle collisions by considering geographic, environmental and transportation variables. Road-kill, especially by large mammals, threatens human safety as well as financial losses. Therefore, we conducted this study on roe deer (Capreolus pygargus tianschanicus), a large mammal that causes frequently Road-kill in Jeju Island. So, to predict potential wildlife habitats by considering geographic, environmental, and transportation variables for a specific species this study was conducted to identify high-priority restoration sites with both characteristics of potential habitats and road-kill hotspot. we identified high-priority restoration sites that is likely to be potential habitats, and also identified the known location of a Road-kill records. For this purpose, first, we defined the environmental variables and collect the occurrence records of roe deer. After that, the potential habitat map was generated by using Random Forest model. Second, to analyze roadkill hotspots, a kernel density estimation was used to generate a hotspot map. Third, to define high-priority restoration sites, each map was normalized and overlaid. As a result, three northern regions roads and two southern regions roads of Jeju Island were defined as high-priority restoration sites. Regarding Random Forest modeling, in the case of environmental variables, The importace was found to be a lot in the order of distance from the Oreum, elevation, distance from forest edge(outside) and distance from waterbody. The AUC(Area under the curve) value, which means discrimination capacity, was found to be 0.973 and support the statistical accuracy of prediction result. As a result of predicting the habitat of C. pygargus, it was found to be mainly distributed in forests, agricultural lands, and grasslands, indicating that it supported the results of previous studies.

A Study on Recognition Methodology and Deduction Improvement Factors of the Registration Process for the Efficient Use of National Research Facilities & Equipments (국가연구시설.장비의 효율적 활용을 위한 인식조사와 등록프로세스 개선요인 도출)

  • Yum, DongKi;Shin, JinGyu
    • Journal of Korea Technology Innovation Society
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    • v.17 no.4
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    • pp.733-762
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    • 2014
  • The government mandates that national research facilities & equipments through R&D business budget should be registered on the National Science and Technology Information Service (NTIS) for the purpose of the efficient use of the research facilities & equipments. This study is to contribute to the national policies on the efficient management of the research facilities & equipments by recognition methodology with the university's members and analysis of the impact factors of the universities' registration process improvement through the Define level and Measure level of the Six Sigma DAMIC. The survey and interview were conducted on research directors, professors joining university administration, graduate students, researchers, and staffs of A University. The findings are the lack of understanding specific steps and life-cycle management of research facilities & equipments. It is necessary to collect suggestions from universities and pursue policies considered the unique characteristics of the university for advanced operating and maximizing use of university's national research facilities & equipments. Research facilities & equipments enrollment compliance rate and registration accuracy were selected as CTQ-Y through the Six Sigma. 72 potential cause variables were derived through Process Map and C & E Diagram. 13 variables were determined as core potential factors through the X-Y Matrix and Pareto Chart. Research institutions should maximize utilization of research facilities & equipments through deriving a potential variables of the process improvements and designing a detail improvements based on the characteristics of each institutions.

Pattern Analysis in East Asian Coasts by using Sea Level Anomaly and Sea Surface Temperature Data (해수면 높이와 해수면 온도 자료를 이용한 동아시아 해역의 패턴 분석)

  • Hwang, Do-Hyun;Jeong, Min-Ji;Kim, Na-Kyeong;Park, Mi-So;Kim, Bo-Ram;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.525-532
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    • 2021
  • In the ocean, it is difficult to separate the effects of one cause due to the multiple causes, but the self-organizing map can be analyzed by adding other factors to the cluster result. Therefore, in this study, the results of the clustering of sea level data were applied to sea surface temperature. Sea level data was clustered into a total of 6 nodes. The difference between sea surface temperature and sea level height has a one-month delay, which applied sea surface temperature data a month ago to the clustered results. As a result of comparing the mean of sea surface temperature of 140 to 150°E, where the sea surface temperature was variously distributed, in the case of nodes 1, 3, and 5, it was possible to find a meandering sea surface temperature distribution that is clearly distinguished from the sea level data. While nodes 2, 4 and 6, the sea surface temperature distribution was smooth. In this study, sea surface temperature data were applied to the clustered results of sea level data, but later it is necessary to apply wind or geostrophic velocity data to compare.

Ecological Studies on the Vegetation of Abandoned Salt field in Gasado (가사도 폐염전의 식생 현황에 관한 생태학적 연구)

  • 김하송;임병선;이점숙;박송의
    • Korean Journal of Environment and Ecology
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    • v.17 no.2
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    • pp.123-132
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    • 2003
  • This ecological study investigated the vegetation changes of abandoned salt field, 21 plots(1${\times}$lm, 1${\times}$2m) set up by the methods of Braun-Blanquet and Elenberg in a coastal island, Gasado, Jindogun, from July to September,2002. The vascular plants of abandoned salt field in the surveyed site identified 17 families and 48 species. Of these species, halophytes and mesophytes were 20(42%) and 28(58%) species. In addition, the disturbance to this habitat led to the change of halophytes in abandoned sald field, exotic plants was distributed 23 species, which included Dactylis glomerata, Conyza canadensis, Oenothera odorata, Cosmos bipinnatus, etc., in the group of, mesophytes were 20(71%) species, vegetation communities were classified into 3 community types, i.e. the halophyte grassland community(Limonium tetragonum community, Suaeda japonica community, Spergularia marina community), the wetland grassland community(Phragmites communis community, Carex scabrifolia community, Phaceturus latifolius var. angustifolius community), and the mesophyte grassland community(Erigeron bonariensis community, Daucus littoralis var. koreana community). Each communities was described the structual, distribution and changes of the vegetation in the abandoned salt field, the vegetation table and actual vegetation map were prepared.

How to utilize vegetation survey using drone image and image analysis software

  • Han, Yong-Gu;Jung, Se-Hoon;Kwon, Ohseok
    • Journal of Ecology and Environment
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    • v.41 no.4
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    • pp.114-119
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    • 2017
  • This study tried to analyze error range and resolution of drone images using a rotary wing by comparing them with field measurement results and to analyze stands patterns in actual vegetation map preparation by comparing drone images with aerial images provided by National Geographic Information Institute of Korea. A total of 11 ground control points (GCPs) were selected in the area, and coordinates of the points were identified. In the analysis of aerial images taken by a drone, error per pixel was analyzed to be 0.284 cm. Also, digital elevation model (DEM), digital surface model (DSM), and orthomosaic image were abstracted. When drone images were comparatively analyzed with coordinates of ground control points (GCPs), root mean square error (RMSE) was analyzed as 2.36, 1.37, and 5.15 m in the direction of X, Y, and Z. Because of this error, there were some differences in locations between images edited after field measurement and images edited without field measurement. Also, drone images taken in the stream and the forest and 51 and 25 cm resolution aerial images provided by the National Geographic Information Institute of Korea were compared to identify stands patterns. To have a standard to classify polygons according to each aerial image, image analysis software (eCognition) was used. As a result, it was analyzed that drone images made more precise polygons than 51 and 25 cm resolution images provided by the National Geographic Information Institute of Korea. Therefore, if we utilize drones appropriately according to characteristics of subject, we can have advantages in vegetation change survey and general monitoring survey as it can acquire detailed information and can take images continuously.

Mutual Verification of an Analytic Model of a Complex System and Space Syntax Using Network Analyses (네트워크 분석방식 선택에 따른 복잡계 모형과 공간구문론의 상호검증)

  • Kim, Suk-Tae;Yoon, So-hee
    • Korean Institute of Interior Design Journal
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    • v.26 no.3
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    • pp.45-54
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    • 2017
  • A social phenomenon that occurs in a physical space is said to be a complex system. However, space syntax, which is commonly employed by researchers to identify such social phenomena, has various limitations in interpreting their complexity. On the other hand, agent-based modeling considers a variety of factors including the personality of the agent, objective-oriented work flows, estimation according to time flows and better prediction of space use through diverse parameters depending the situation, as well as the characteristics of the space. The agent-based method thus has the potentials to be developed as an alternative to space syntax techniques. In particular, discrete event driven simulation(DEVS), which is part of the agent-based modeling method, embraces the concept of networks just like space syntax, which allows a possible theoretical linkage in the future. This study suggests a procedural model of agent-based DEVS reflecting two different connection methods, i.e. connections between adjacent areas and those of the entire space, and attempts to identify the relationship between the local and regional indices of space syntax. A number of spaces were selected as examples-one for a preliminary experiment and eight modified for the main experiment-and space syntax and DEVS were applied to each of them. The comparative analysis of the results led to the conclusions as follows: 1) Adjacent connections were closely related to local indices, while the whole-space approach to regional indices. Local integration shows both characteristics. 2) Observation of the time flow model indicated a faster convergence with the range of 1 to 3-fold of the total time of one lap, with the error of less than 10%. 3) The heat map analysis showed more obvious characteristics of using the space for the entire space rather than adjacent connections. 4) Space syntax shows higher eligibility than ABM.

A Study on the Process Improvement of ICT Technological Innovation System : with the Focus on Classification and Assessment of R&D Projects (ICT 기술혁신체계 프로세스 개선방안 연구 : 과제구분 및 선정평가를 중심으로)

  • Rim, Myung Hwan;Koh, Soon Ju;Lee, Jung Mann
    • Korean Management Science Review
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    • v.33 no.3
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    • pp.53-64
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    • 2016
  • The government is mapping out R&D innovation measures aimed at improving the qualitative level of the performance of national R&D projects that are supported by grants or public funds. This paper proposes ways of making improvements in technology planning, project assessment, performance management, and results evaluation in order to boost the efficiency of the country's promotion of ICT R&D projects, as well as to upgrade the processes involved with its technological innovation system at each of the commercialization stages of its R&D projects. According to our experts' in-depth survey and interview, it has been found that technology planning is the most important phase in the full cycle-based technological innovation system and that the promotion of a combination of top-down and bottom-up approaches is the most reasonable. This paper also suggests it is necessary to secure a process for exploring technological opportunities as the preparatory phase for technology planning, and that it is desirable to reflect the technology demand map associated with the technology road map. Currently, R&D projects are divided into policy designation, designation contest, and free contest. To minimize the inefficiency associated with indiscriminate competition, this paper proposes the introduction of a general contest system in order to change the project assessment system into one based on the results of the competition in each category(e.g. firms, universities, research institutions, etc.).

Inhibitory effect of Mori Folium ethanol extract on pro-inflammatory mediator in lipopolysaccharide - activated RAW 264.7 cells (상엽(桑葉) 추출물의 LPS로 유도된 RAW 264.7 세포에서의 항염증 효과)

  • Park, Sang-Mi;Byun, Sung-Hui;Kim, Young-Woo;Cho, Il-Je;Kim, Sang-Chan
    • The Korea Journal of Herbology
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    • v.27 no.3
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    • pp.31-38
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    • 2012
  • Objectives : Mori Folium is one of the traditional medicinal herb. It was commonly used for sericulture in the world and has been traditionally administered as natural therapeutic agent for the treatment of filariasis, diabetes and dropsy in East Asia. This study investigated an anti-inflammatory potential of Mori Folium ethanol extract (MFE). Methods : We examined the effects of MFE on the lipopolysaccharide (LPS)-induced production of nitric oxide (NO) and prostaglandin $E_2$ ($PGE_2$) in a murine macrophage cell line, RAW 264.7. Results : MFE inhibited production of NO and $PGE_2$ in a dose dependent manner and also decreased the expression of inducible nitric oxide synthase (iNOS), cyclooxygenase-2, interleukin (IL)-1, IL-6 and tumor necrosis factor-${\alpha}$. As a plausible molecular mechanism, increased degradation of I-${\kappa}B{\alpha}$ and phosphorylation of I-${\kappa}B{\alpha}$, NF-${\kappa}B$ and MAP kinases by LPS were partly blocked by MFE treatment. Conclusions : These results suggest that MFE has an anti-inflammatory therapeutic potential, which may result from inhibition of NF-${\kappa}B$ activation and MAPK phosphorylation, thereby decreasing the expression of pro-inflammatory genes.

Analysis of Two-Dimensional Fluorescence Spectra in Biotechnological Processes by Artificial Neural Networks I - Classification of Fluorescence Spectra using Self-Organizing Maps - (인공신경망에 의한 생물공정에서 2차원 형광스펙트럼의 분석 I - 자기조직화망에 의한 형광스펙트럼의 분류 -)

  • Lee Kum-Il;Yim Yong-Sik;Kim Chun-Kwang;Lee Seung-Hyun;Chung Sang-Wook;Rhee Jong Il
    • KSBB Journal
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    • v.20 no.4
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    • pp.291-298
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    • 2005
  • Two-dimensional (2D) spectrofluorometer is often used to monitor various fermentation processes. The change in fluorescence intensities resulting from various combinations of excitation and emission wavelengths is investigated by using a spectra subtraction technique. But it has a limited capacity to classify the entire fluorescence spectra gathered during fermentations and to extract some useful information from the data. This study shows that the self-organizing map (SOM) is a useful and interpretative method for classification of the entire gamut of fluorescence spectral data and selection of some combinations of excitation and emission wavelengths, which have useful fluorometric information. Some results such as normalized weights and variances indicate that the SOM network is capable of interpreting the fermentation processes of S. cerevisiae and recombinant E. coli monitored by a 2D spectrofluorometer.

Sensitivity Analyses for Maximum Heat Removal from Debris in the Lower Head

  • Kim, Yong-Hoon;Kune Y. Suh
    • Nuclear Engineering and Technology
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    • v.32 no.4
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    • pp.395-409
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    • 2000
  • Parametric studies were performed to assess the sensitivity in determining the maximum in-vessel heat removal capability from the core material relocated into the lower plenum of the reactor pressure vessel (RPV)during a core melt accident. A fraction of the sensible heat can be removed during the molten jet delivery from the core to the lower plenum, while the remaining sensible heat and the decay heat can be transported by rather complex mechanisms of the counter-current flow limitation (CCFL) and the critical heat flux (CHF)through the irregular, hemispherical gap that may be formed between the freezing oxidic debris and the overheated metallic RPV wall. It is shown that under the pressurized condition of 10MPa with the sensible heat loss being 50% for the reactors considered in this study, i.e. TMI-2, KORI-2 like, YGN-3&4 like and KNGR like reactors, the heat removal through the gap cooling mechanism was capable of ensuring the RPV integrity as much as 30% to 40% of the total core mass was relocated to the lower plenum. The sensitivity analysis indicated that the cooling rate of debris coupled with the sensible heat loss was a significant factor The newly proposed heat removal capability map (HRCM) clearly displays the critical factors in estimating the maximum heat removal from the debris in the lower plenum. This map can be used as a first-principle engineering tool to assess the RPV thermal integrity during a core melt accident. The predictive model also provided ith a reasonable explanation for the non-failure of the test vessel in the LAVA experiments performed at the Korea Atomic Energy Research Institute (KAERI), which apparently indicated a cooling effect of water ingression through the debris-to-vessel gap and the intra-debris pores and crevices.

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