• Title/Summary/Keyword: Correlation Map

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Prediction of Land-cover Change in the Gongju Areas using Fuzzy Logic and Geo-spatial Information (퍼지 논리와 지리공간정보를 이용한 공주지역 토지피복 변화 예측)

  • Jang, Dong-Ho
    • Journal of Environmental Impact Assessment
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    • v.14 no.6
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    • pp.387-402
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    • 2005
  • In this study, we tried to predict the change of future land-cover and relationships between land-cover change and geo-spatial information in the Gongju area by using fuzzy logic operation. Quantitative evaluation of prediction models was carried out using a prediction rate curve using. Based on the analysis of correlations between the geo-spatial information and land-cover change, the class with the highest correlation was extracted. Fuzzy operations were used to predict land-cover change and determine the land-cover prediction maps that were the most suitable. It was predicted that in urban areas, the urban expansion of old and new towns would occur centering on the Gem-river, and that urbanization of areas along the interchange and national roads would also expand. Among agricultural areas, areas adjacent to national roads connected to small tributaries of the Gem-river and neighboring areas would likely experience changes. Most of the forest areas are located in southeast and from this result we can guess why the wide chestnut-tree cultivation complex is located in these areas and the possibility of forest damage is very high. As a result of validation using the prediction rate curve, it was indicated that among fuzzy operators, the maximum fuzzy operator was the most suitable for analyzing land-cover change in urban and agricultural areas. Other fuzzy operators resulted in the similar prediction capabilities. However, in the prediction rate curve of integrated models for land-cover prediction in the forest areas, most fuzzy operators resulted in poorer prediction capabilities. Thus, it is necessary to apply new thematic maps or prediction models in connection with the effective prediction of changes in the forest areas.

Simulation Map of Potential Natural Vegetation in the Gayasan National Park using GIS (지리정보시스템을 이용한 가야산국립공원의 잠재자연식생 추정)

  • Kim, Bo-Mook;Yang, Keum-Chul
    • Ecology and Resilient Infrastructure
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    • v.4 no.2
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    • pp.115-121
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    • 2017
  • This study estimated potential natural vegetation in Gayasan National Park through the occurrence probability distribution by using geographic information system (GIS). in Gayasan National Park. Correlation and factor analysis were analyzed to estimate probability distribution. The presence of the Gaya National Park Vegetation survey results showed that 128 communities were distributed. The analyzed relationship between actual vegetation and distribution factors such as elevation, aspect, slope, topographic index, annual mean temperature, warmth index and potential evapotranspiration in Gayasan national park. The probability distribution of potential natural vegetation communities at least 0.3 odds were the advent of Pinus densiflora communities with the highest 55.80%, Quercus mongolica community is 44.05%, 0.09% is Quercus acutissima communities, Quercus variabilis communities are found to be 0.06%. If you want to limit the factors that affect the distribution of vegetation by factors presented in this study, the potential natural vegetation of the Gaya National Park was expected to appear in Quercus mongolica community (43.1%) and Pinus densiflora communities (56.9%).

Estimation of Disparity for Depth Extraction in Monochrome CMOS Image Sensors with Offset Pixel Apertures (깊이 정보 추출을 위한 오프셋 화소 조리개가 적용된 단색 CMOS 이미지 센서의 디스패리티 추정)

  • Lee, Jimin;Kim, Sang-Hwan;Kwen, Hyeunwoo;Chang, Seunghyuk;Park, JongHo;Lee, Sang-Jin;Shin, Jang-Kyoo
    • Journal of Sensor Science and Technology
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    • v.29 no.2
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    • pp.123-127
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    • 2020
  • In this paper, the estimation of the disparity for depth extraction in monochrome complementary metal-oxide-semiconductor (CMOS) image sensors with offset pixel apertures is presented. To obtain the depth information, the disparity information between two different channel data of the offset pixel apertures is required. The disparity is caused by the difference in the response angle between the left- and right-offset pixel aperture images. A depth map is implemented by the generated disparity. Therefore, the disparity is the most important factor for realizing 3D images from the designed CMOS image sensor with offset pixel apertures. The disparity is influenced by the pixel height and offset value of the offset pixel aperture. To confirm this correlation, the offset value is set to maximum within the pixel area, and the disparity values corresponding to the difference in the heights are calculated and compared. The disparity is derived using the camera-lens formula. Two monochrome CMOS image sensors with offset pixel apertures are used in the disparity estimation.

Mapping Items of Functioning Questionnaires into the International Classification of Functioning, Disability and Health: Low Back Pain

  • Lee, Hae-Jung;Song, Ju-Min
    • The Journal of Korean Physical Therapy
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    • v.28 no.5
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    • pp.321-327
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    • 2016
  • Purpose: The purpose was to link items of questionnaires that measure functioning and disability of persons with Low Back Pain (LBP) into the International Classification of Functioning, Disability and Health (ICF). Methods: The Oswestry Disability Index (ODI), Roland and Morris Disability Questionnaire (RM), Fear-Avoidance Beliefs Questionnaire (FABQ), and Short Form-36 health survey (SF-36) were evaluated to map items of those questionnaires into the ICF categories. The linking rule was employed and linking was performed independently by 10 health professionals. One-hundred and two patients with LBP were recruited from 19 medical institutes to this study for a field test to examine relations between the scale and its linked ICF category set. Pearson correlation coefficient was used to analyze their relationships. Results: Walking was only found to be one-to-one linking between the scale and the ICF. Sixty questions in FABQ were to be linked to 9 of ICF categories. Ten and 14 ICF categories were able to be linked to RM and ODI respectively. It was found that majority of items from ODI and RM scale had similar concept and linked to the same ICF category. SF-36 had only 15 categories of the ICF linked. Strong relationship was observed between measurement scales and linked ICF code sets (r=0.79, r=0.65, r=0.47, and r=-0.31 for ODI, RM, FABQ and SF-36 respectively). Conclusion: It was found that commonly used clinical tools for LBP may be linked to ICF. The study results may suggest that clinical data can be standardized to communicate between related professionals.

Development of Land Surface Temperature Retrieval Algorithm from the MTSAT-2 Data

  • Kim, Ji-Hyun;Suh, Myoung-Seok
    • Korean Journal of Remote Sensing
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    • v.27 no.6
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    • pp.653-662
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    • 2011
  • Land surface temperature (LST) is a one of the key variables of land surface which can be estimated from geostationary meteorological satellite. In this study, we have developed the three sets of LST retrieval algorithm from MTSAT-2 data through the radiative transfer simulations under various atmospheric profiles (TIGR data), satellite zenith angle, spectral emissivity, and surface lapse rate conditions using MODTRAN 4. The three LST algorithms are daytime, nighttime and total LST algorithms. The weighting method based on the solar zenith angle is developed for the consistent retrieval of LST at the early morning and evening time. The spectral emissivity of two thermal infrared channels is estimated by using vegetation coverage method with land cover map and 15-day normalized vegetation index data. In general, the three LST algorithms well estimated the LST without regard to the satellite zenith angle, water vapour amount, and surface lapse rate. However, the daytime LST algorithm shows a large bias especially for the warm LST (> 300 K) at day time conditions. The night LST algorithm shows a relatively large error for the LST (260 ~ 280K) at the night time conditions. The sensitivity analysis showed that the performance of weighting method is clearly improved regardless of the impacting conditions although the improvements of the weighted LST compared to the total LST are quite different according to the atmospheric and surface lapse rate conditions. The validation results of daytime (nighttime) LST with MODIS LST showed that the correlation coefficients, bias and RMSE are about 0.62~0.93 (0.44~0.83), -1.47~1.53 (-1.80~0.17), and 2.25~4.77 (2.15~4.27), respectively. However, the performance of daytime/nighttime LST algorithms is slightly degraded compared to that of the total LST algorithm.

The star catalogue in Seonggyeong - Comparison with the modern Hipparcos Catalogue

  • Kim, Dong-Bin;Kim, Chun-Hwey;Lee, Yong-Sam
    • Bulletin of the Korean Space Science Society
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    • 2011.04a
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    • pp.19.2-19.2
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    • 2011
  • In 1861 Nam Byeong-Gil published a book called as "Seonggyeong" which contains a star catalogue (NBGC) with the positions, magnitudes, and star maps for 1449 stars. The NBGC lists only the traditional Chinese stars selected from "the sequel to the Qing Dynasty Star Catalogue and Star Map." To identify each star from the NBGC with modern counterpart, we correct the positions of the Hipparcos stars brighter than 6.5 mag for proper motion, then precess the coordinates to the epoch of the NBGC. For each star in the NBGC, we find the nearest counterpart in the Hipparcos Catalogue (HC). If a much brighter star is at a slightly larger angular distance, we select that star as the secure counterpart. As a result, 95.5% of the stars in the NBGC were identified. We find a very good overall agreement of our results with a previous analysis by Ahn et al. (1996, Journal of the Korean History of Science Society, vol. I). For securely identified stars, we analyse its accuracy on the basis of comparison with data from the HC. The correlation of the errors between right ascensions and declinations is significantly deviated from spherical distribution. The magnitudes recorded in the NBGC correlate well with modern values. The accuracy of position decreases slowly with magnitude. Right ascensions and declinations have error distributions with ${\sigma}$ = 2.0' for the former while the latter with ${\sigma}$ = 1.6', but with much more errors >5' than expected for a Gaussian distribution.

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A Study on the Analyzing Space Configuration and Character of Exhibition Area in Neo-Classical Museum (신고전주의 뮤지엄의 공간구조분석과 전시영역특성에 관한 연구)

  • Oh, Ji-Young;Park, Hey-Kyung;Kim, Seok-Tae
    • Korean Institute of Interior Design Journal
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    • v.20 no.3
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    • pp.225-232
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    • 2011
  • This study analyzed characteristics of space configuration and exhibition contents in the Neo-classism style museum while carrying out space syntax and visibility graph analysis. Therefore, this research has the purpose to survey the status of existing museum analyze their visual perception space structural characteristics and ultimately utilize their characteristics as basic data in planning out and designing space. As for the research scope, the research selected as research subject 4 Neo-classism style museum in Europe and US that composite set of room to room type and having major space. Research method is that the research analyzed the exhibition space of 4 art museums by using depth-map program which can analyze space with visual graph analysis function and analyzed the visibility among unit areas by each art museum integration and exhibition contents composition. In such analysis method, the research was able to Quantitatively analyze the visual characteristics of exhibition space that induce and adjusts the motion of audience. Visual perception quantitive analysis as in this research will enhance exhibition design by considering the correlation between audience and exhibited items when planning out art museum space to be established later on. Therefore, wien museum integration degree are high because of same openings direction and major space, Also another museums major space integrations are high level degree, and Exhibition area is set of high integration area. So, visitors can perceive exhibition contents easily.

Analysis of Corticospinal Tract Injury by Using the Diffusion Tensor Imaging of 3.0 T Magnetic Resonance in Patients with Hypertensive Intracerebral Hemorrhage

  • Cho, Hee-Cheol;Son, Eun-Ik;Lee, So-Young;Park, Gi-Young;Sohn, Chul-Ho;Yim, Man-Bin
    • Journal of Korean Neurosurgical Society
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    • v.38 no.5
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    • pp.331-337
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    • 2005
  • Objective : The purpose of this study is to identify correlations between diffusion tensor imaging[DTI] and motor improvement by quantifying and visualizing the corticospinal tract on DTI to predict motor impairment in patients with hypertensive intracerebral hemorrhage[ICH]. Methods : Fifteen normal subjects and 7 patients with hypertensive ICH were examined and the latter were treated surgically. DTI was performed with a 3.0 T MRI. The region of interest[ROI] from the posterior limbs of both internal capsules was measured on a fractional anisotropy[FA] map, and the ratios of ROIs were calculated. Tractography, 3-dimensional DTI was then constructed. Motor impairment was assessed on admission and 2weeks after stroke by the Motricity Index[MI]. The FA ratio, tractography and score on MI were analyzed for correlations. Results : The FA ratio from the initial DTI did not show a linear correlation with motor impairment. However, after 2weeks, patients with high FA ratios showed high degrees of motor recovery, regardless of the initial severity, and patients with low FA ratios showed low recovery rates. Otherwise, a relationship between the amount of hematoma and the degree of motor recovery could not be determined. On tractography, injury of the corticospinal tract could be visualized and estimated 3-dimensionally. Conclusion : FA ratio analysis and tractography constructed from DTI may be useful in understanding corticospinal tract injury and in predicting the recovery from motor impairment in patients.

Numerical Evaluations of the Effect of Feature Maps on Content-Adaptive Finite Element Mesh Generation

  • Lee, W.H.;Kim, T.S.;Cho, M.H.;Lee, S.Y.
    • Journal of Biomedical Engineering Research
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    • v.28 no.1
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    • pp.8-16
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    • 2007
  • Finite element analysis (FEA) is an effective means for the analysis of bioelectromagnetism. It has been successfully applied to various problems over conventional methods such as boundary element analysis and finite difference analysis. However, its utilization has been limited due to the overwhelming computational load despite of its analytical power. We have previously developed a novel mesh generation scheme that produces FE meshes that are content-adaptive to given MR images. MRI content-adaptive FE meshes (cMeshes) represent the electrically conducting domain more effectively with far less number of nodes and elements, thus lessen the computational load. In general, the cMesh generation is affected by the quality of feature maps derived from MRI. In this study, we have tested various feature maps created based on the improved differential geometry measures for more effective cMesh head models. As performance indices, correlation coefficient (CC), root mean squared error (RMSE), relative error (RE), and the quality of cMesh triangle elements are used. The results show that there is a significant variation according to the characteristics of specific feature maps on cMesh generation, and offer additional choices of feature maps to yield more effective and efficient generation of cMeshes. We believe that cMeshes with specific and improved feature map generation schemes should be useful in the FEA of bioelectromagnetic problems.

Oncogenic Ras downregulates mdr1b expression through generation of reactive oxygen species

  • Jun, Semo;Kim, Seok Won;Kim, Byeol;Chang, In-Youb;Park, Seon-Joo
    • The Korean Journal of Physiology and Pharmacology
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    • v.24 no.3
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    • pp.267-276
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    • 2020
  • T In the present study, we investigated the effect of oncogenic H-Ras on rat mdr1b expression in NIH3T3 cells. The constitutive expression of H-RasV12 was found to downregulate the mdr1b promoter activity and mdr1b mRNA expression. The doxorubicin-induced mdr1b promoter activity of the H-RasV12 expressing NIH3T3 cells was markedly lower than that of control NIH3T3 cells. Additionally, there is a positive correlation between the level of H-RasV12 expression and a sensitivity to doxorubicin toxicity. To examine the detailed mechanism of H-RasV12-mediated down-regulation of mdr1b expression, antioxidant N-acetylcysteine (NAC) and NADPH oxidase inhibitor diphenylene iodonium (DPI) were used. Pretreating cells with either NAC or DPI significantly enhanced the oncogenic H-Ras-mediated down-regulation of mdr1b expression and markedly prevented doxorubicin-induced cell death. Moreover, NAC and DPI treatment led to a decrease in ERK activity, and the ERK inhibitors PD98059 or U0126 enhanced the mdr1b-Luc activity of H-RasV12-NIH3T3 and reduced doxorubicin-induced apoptosis. These data suggest that RasV12 expression could downregulate mdr1b expression through intracellular reactive oxygen species (ROS) production, and ERK activation induced by ROS, is at least in part, contributed to the downregulation of mdr1b expression.