• Title/Summary/Keyword: 분류계수

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Comparison of Evapotranspiration Estimation Approaches Considering Grass Reference Crop (증발산 산정 방법들의 비교 - 잔디기준작물을 중심으로)

  • Rim, Chang-Soo
    • Journal of Korea Water Resources Association
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    • v.41 no.2
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    • pp.212-228
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    • 2008
  • Five representative reference evapotranspiration(RET) equations were selected, and these equations were compared with pan evaporation by correlation analysis. Pan coefficients were also estimated. Furthermore, five selected RET equations were compared to find the similarity among those at the 21 meteorological stations located in South Korea. Five RET equations selected from 4 different category were Penman(combination approach), FAO Penman-Monteith(FAO P-M) (single source approach), Makkink and Priestley-Taylor (radiation approach) and Hargreaves(temperature approach) equations. In this study, the geographical and topographical conditions were considered for the selection of study stations. The daily meteorological data measured from 1970 at an interval of 5 years were applied in this study. The evapotranspiration estimates obtained by applying evapotranspiration equations were evaluated with numerical and graphical methods. The correlation coefficients between pan evaporation and RET in study stations were above 0.9 indicating very high correlation; however, the slopes of the individual regression lines show the values greater or less than 1.0. Hargreaves equation(temperature approach) shows the most similar evapotranspiration estimates to those of FAO P-M equation from 12 study stations, which are located near to seashore except Daegu station. On the other hand, Priestley-Taylor equation(radiation approach) shows the most similar evapotranspiration estimates to those of FAO P-M equation from 8 study stations, which are located in inland.

Determinants of Leverage for Manufacturing Firms Listed in the KOSDAQ Stock Market (한국 KOSDAQ 상장기업들의 자본구조 결정요인 분석)

  • Kim, Han-Joon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.5
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    • pp.2096-2109
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    • 2012
  • This study investigates empirical issues that have received little attention in the previous research in the Korean capital market. It is to find any financial determinants on the capital structure for the firms listed in the KOSDAQ(Korea Securities Dealers Automated Quotation). Another test is performed to find any possible discriminating factors by utilizing a robust methodology, which may distinguish between the firms belonging the 'prime section' and the 'venture section' in terms of their financial aspects. Moreover, the null hypothesis that the changing trend or movement of a firm's capital structure with respect to its industry mean (or median) may be random, is also tested. For the book-value based debt ratios, size(INSIZE), growth(GROWTH), Market to book value of equity(MVBV), volatility(VOLATILITY), market value of equity (MVE) and section dummy (SECTION) showed their statistically significant effects on the book-value based leverage ratios, respectively, while size(INSIZE), growth(GROWTH), market value of equity(MVE), beta(BETA) and section dummy (SECTION) showed their statistically significant effects on the market-value based leverage ratios. This study also found an interesting result that a firm belonging to each corresponding industry has a tendency for reversion toward its mean and median leverage ratios over the five-year tested period.

Micromorphological Studies on the Perforation Plate of Korean Hardwoods(II) - The Structure of Perforation Plate - (한국산(韓國産) 활엽수재(闊葉樹材) 천공판(穿孔板)의 미세형태(微細形態)에 관(關)한 연구(硏究) (II) - 천공판(穿孔板)의 구조(構造) -)

  • Kim, Dae-Young;Lee, Won-Yong
    • Journal of Forest and Environmental Science
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    • v.13 no.1
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    • pp.114-133
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    • 1997
  • Perforation plate was observed in 78 species(45 genera, 25 families) of Korean native hardwoods using SEM and it was divided into three types, i.e., simple, scalariform and multiple perforation plates, Based on occurance of these types, the species examined were classfied into the following six groups : (1) 60species(35 genera, 21 families) having exclusively simple perforation, (2) 5 species(2 genera, 1 families) having exclusively scalariform perforation plates, (3) 4 species(4 genera, 3 families) having simple and scalariform perforation plates, (4) 2 species(2 genera, 1 families) having simple and multiple perforation plates, (5) 5 species(3 genera, 3 families) having scalariform and multiple perforation plates and (6) 2 species(2 genera, 2 families) having simple, scalariform and multiple perforation plates. Mismatching perforation plates were found in two species of Betulaceae, Alnus hirsuta var. sibirica and Alnus hirsuta and peculiar substructure between the bars of the scalariform perforation plate was observed in Betulaceae, Betula davurica and Cercidiphyllaceae, Cerdiphyllum japonicum and the vestured perforation plate was found in Quercus aliena.

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Color Laser Printer Identification through Discrete Wavelet Transform and Gray Level Co-occurrence Matrix (이산 웨이블릿 변환과 명암도 동시발생 행렬을 이용한 컬러 레이저프린터 판별 알고리즘)

  • Baek, Ji-Yeoun;Lee, Heung-Su;Kong, Seung-Gyu;Choi, Jung-Ho;Yang, Yeon-Mo;Lee, Hae-Yeoun
    • The KIPS Transactions:PartB
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    • v.17B no.3
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    • pp.197-206
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    • 2010
  • High-quality and low-price digital printing devices are nowadays abused to print or forge official documents and bills. Identifying color laser printers will be a step for media forensics. This paper presents a new method to identify color laser printers with printed color images. Since different printer companies use different manufactural systems, printed documents from different printers have little difference in visual. Analyzing this artifact, we can identify the color laser printers. First, high-frequency components of images are extracted from original images with discrete wavelet transform. After calculating the gray-level co-occurrence matrix of the components, we extract some statistical features. Then, these features are applied to train and classify the support vector machine for identifying the color laser printer. In the experiment, total 2,597 images of 7 printers (HP, Canon, Xerox DCC400, Xerox DCC450, Xerox DCC5560, Xerox DCC6540, Konica), are tested to classify the color laser printer. The results prove that the presented identification method performs well with 96.9% accuracy.

Phylogenetic Relationships and Characterization of Korean Native Silkworm Strains Based on RAPDs and Isozyme Analysis, Bombyx mori (동위효소 및 RAPD분석에 의한 한국재래종 누에계통의 계통학적 특성)

  • 이재만;노시갑
    • Journal of Sericultural and Entomological Science
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    • v.43 no.2
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    • pp.59-66
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    • 2001
  • This study was conducted to elucidate phylogenetic relationships and genetic characterization of silkworms that might be recognized as the Korean native strains. Genetic characterization in isozymes and the proteins of larval hemolymph of 17 silkworms were observed by acrylamide gel eletrophoresis, on 12 genes; Bph, Bes, les, Amy-hc, Ict-A, -B, -D,-E,-H, Pfl, Pst, Lp. Gene frequencies in each locus were compared other geographic strains. Korean native strains were remarkably different from others considered as the genetic characterization of Korean native strains. Phylogenetic relationships in Korean native strains were analysed using RAPD-PCR markers. A total of 40 primers were used and 346 bands of amplified DNA were generated from geographic strains. Genetic similarity based on the RAPD bands was used to construct phylogenetic dendrogram based on analysis of bard sharing data of amplified markers. Genetic similarity ranged from 0.595 to 0.860. In the genetic relationship based on dendrogram, they were classified into Bombyx mori group (including 16 domesticated silkworm strains) and B. mandarina group. The Bombyx mori group was separated into three sub-groups at the genetic similarity of 0.6930, including Korean, Japanese and Chinese groups. According to this result, the Korean native variety can be considered as a clearly different variety from other geographic strains. It may be concluded that the Korean native strains are also one of original geographic variety such as Japanese, Chinese, etc.

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Variation of Seasonal Groundwater Recharge Analyzed Using Landsat-8 OLI Data and a CART Algorithm (CART알고리즘과 Landsat-8 위성영상 분석을 통한 계절별 지하수함양량 변화)

  • Park, Seunghyuk;Jeong, Gyo-Cheol
    • The Journal of Engineering Geology
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    • v.31 no.3
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    • pp.395-432
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    • 2021
  • Groundwater recharge rates vary widely by location and with time. They are difficult to measure directly and are thus often estimated using simulations. This study employed frequency and regression analysis and a classification and regression tree (CART) algorithm in a machine learning method to estimate groundwater recharge. CART algorithms are considered for the distribution of precipitation by subbasin (PCP), geomorphological data, indices of the relationship between vegetation and landuse, and soil type. The considered geomorphological data were digital elevaion model (DEM), surface slope (SLOP), surface aspect (ASPT), and indices were the perpendicular vegetation index (PVI), normalized difference vegetation index (NDVI), normalized difference tillage index (NDTI), normalized difference residue index (NDRI). The spatio-temperal distribution of groundwater recharge in the SWAT-MOD-FLOW program, was classified as group 4, run in R, sampled for random and a model trained its groundwater recharge was predicted by CART condidering modified PVI, NDVI, NDTI, NDRI, PCP, and geomorphological data. To assess inter-rater reliability for group 4 groundwater recharge, the Kappa coefficient and overall accuracy and confusion matrix using K-fold cross-validation were calculated. The model obtained a Kappa coefficient of 0.3-0.6 and an overall accuracy of 0.5-0.7, indicating that the proposed model for estimating groundwater recharge with respect to soil type and vegetation cover is quite reliable.

Taxonomic Review of the Genus Saurida (Aulopiformes: Synodontidae) from Korea (한국산 매퉁이속(홍메치목, 매퉁이과) 어류의 분류학적 재검토)

  • Yeo, Minyu;Kim, JinKoo
    • Korean Journal of Ichthyology
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    • v.30 no.4
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    • pp.205-216
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    • 2018
  • Taxonomic review of the genus Saurida, belonging to the family Synodontidae, was conducted based on three species (S. macrolepis, S. microlepis and S. wanieso) collected from Korea between 1994 and 2017, and one species (S. elongata) loaned from Japan. S. wanieso can be readily distinguished from S. tumbil by following characteristics: outer palatine teeth (2 rows in S. wanieso vs. 3~4 rows in S. tumbil) and pectoral fin length (reaching to pelvic - dorsal line in S. wanieso vs. not reaching to pelvic - dorsal line in S. tumbil). In counts, the four Saurida spp. are well distinguished: number of lateral line scales (48~50 in S. macrolepis vs. 54~58 in S. wanieso vs. 61~62 in S. elongata vs. 63~70 in S. microlepis), vertebrae (47~49 in S. macrolepis vs. 51~53 in S. wanieso vs. 57~59 in S. elongata vs. 62~64 in S. microlepis). The present study suggests S. undosquamis and S. tumbil must be absent in Korean waters, and also S. elongata may be rare or absent in Korean waters. Here we use the Korean name, "tum-bil-mae-tung-i" for S. wanieso, following Yamada et al. (1995) who treated Korean S. tumbil as S. wanieso.

Land Cover Mapping and Availability Evaluation Based on Drone Images with Multi-Spectral Camera (다중분광 카메라 탑재 드론 영상 기반 토지피복도 제작 및 활용성 평가)

  • Xu, Chun Xu;Lim, Jae Hyoung;Jin, Xin Mei;Yun, Hee Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.6
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    • pp.589-599
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    • 2018
  • The land cover map has been produced by using satellite and aerial images. However, these two images have the limitations in spatial resolution, and it is difficult to acquire images of a area at desired time because of the influence of clouds. In addition, it is costly and time-consuming that mapping land cover map of a small area used by satellite and aerial images. This study used multispectral camera-based drone to acquire multi-temporal images for orthoimages generation. The efficiency of produced land cover map was evaluated using time series analysis. The results indicated that the proposed method can generated RGB orthoimage and multispectral orthoimage with RMSE (Root Mean Square Error) of ${\pm}10mm$, ${\pm}11mm$, ${\pm}26mm$ and ${\pm}28mm$, ${\pm}27mm$, ${\pm}47mm$ on X, Y, H respectively. The accuracy of the pixel-based and object-based land cover map was analyzed and the results showed that the accuracy and Kappa coefficient of object-based classification were higher than that of pixel-based classification, which were 93.75%, 92.42% on July, 92.50%, 91.20% on October, 92.92%, 91.77% on February, respectively. Moreover, the proposed method can accurately capture the quantitative area change of the object. In summary, the suggest study demonstrated the possibility and efficiency of using multispectral camera-based drone in production of land cover map.

A Study on the Rainfall Infiltration Capacity of Soil (A Study on the Mid-Mountain Area of Jeju Island) (강우의 토양 침투 투수성 연구(제주도 중산간 지역을 중심으로))

  • Jeon, Byeong Chu;Lee, Su Gon;Kim, Sung Soo;Kim, Ki Su;Kim, Nam Ju
    • The Journal of Engineering Geology
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    • v.29 no.2
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    • pp.99-112
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    • 2019
  • Rainfall infiltration through the unsaturated zone is influenced by a range of factors including topography, geology, soil, rainfall intensity, temperature and vegetation; the actual infiltration varies largely in time and space. The infiltration capacity of soil is a critical factor in identifying groundwater recharge and leakage of surface water. It may differ depending on soil types and geological features of a particular basin or territory as well as on the usage of the land. This study was conducted in forest and farmland region of the mid-mountain area (EL. 50~300 m) of Jeju Island to test soil infiltration capacity of the area where rainfall contributes to groundwater. Results were analyzed using the four soil group classification methods presented by Jeong et al. (1995) and NAS (2007) to discover that the method offered by NAS (2007) is more reliable in the mid-mountain area of Jeju Island. The study compares and reviews the existing classification methods using the results of infiltration capacity tests executed on different soil groups throughout the whole region of the Jeju mid-mountain area. It is expected that this work will serve as a guideline for evaluating surface water recharge and hydraulic characteristics of Jeju Island.

Performance Improvement Method of Deep Neural Network Using Parametric Activation Functions (파라메트릭 활성함수를 이용한 심층신경망의 성능향상 방법)

  • Kong, Nayoung;Ko, Sunwoo
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.616-625
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    • 2021
  • Deep neural networks are an approximation method that approximates an arbitrary function to a linear model and then repeats additional approximation using a nonlinear active function. In this process, the method of evaluating the performance of approximation uses the loss function. Existing in-depth learning methods implement approximation that takes into account loss functions in the linear approximation process, but non-linear approximation phases that use active functions use non-linear transformation that is not related to reduction of loss functions of loss. This study proposes parametric activation functions that introduce scale parameters that can change the scale of activation functions and location parameters that can change the location of activation functions. By introducing parametric activation functions based on scale and location parameters, the performance of nonlinear approximation using activation functions can be improved. The scale and location parameters in each hidden layer can improve the performance of the deep neural network by determining parameters that minimize the loss function value through the learning process using the primary differential coefficient of the loss function for the parameters in the backpropagation. Through MNIST classification problems and XOR problems, parametric activation functions have been found to have superior performance over existing activation functions.