• Korean Journal of Medicinal Crop Science
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• v.12 no.4
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• pp.321-327
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• 2004

Cortex of Ulmus davidiana var. japonica N. and Hemipteleae davidii P. have been used without classification according to countries as oriental medicine for treatment of various disorders. This study was conducted to elucidate the difference in antioxidant activity and total phenol content of these medicinal materials. Root cortex and trunk cortex of two medicinal plants were extracted with 80% ethanol $(at\;85^{\circ}C)$ and water (at room temperature), respectively. All of the extracts at $200{\sim}5\;{\mu}g/ml$, showed more effective scavenging activity on superoxide radical than ascorbic acid, and 80% ethanol and water extracts of Ulmus root cortex (URC) was more effective. Scavenging activities on DPPH radical of 80% ethanol extracts from URC and Ulmus trunk cortex (UTC) at 10 ${\mu}g/ml$, (41.4, 35.6%) were higher than those of the other six extracts and ${\alpha}-tocopherol\;(2.3{\sim}24.0%)$. Inhibitory activities on human low density lipoprotein (LDL) oxidation of 80% ethanol extracts from UTC and URC (84.3, 81.7%) at $10\;{\mu}g/ml\;(31.3{\sim}78.2%)$ were higher than those of the other six extracts and ${\alpha}-tocopherol$. However, antioxidant activities on linoleic acid peroxidation of all of the extracts were relatively lower than that ${\alpha}-tocopherol$. Total phenol content of 80% ethanol extract from URC was the highest value as 50.8% and that of water extract from HRC was the lowest as 5.6% among the extracts. From these results, it is suggested that Ulmus root cortex was the most effective in antioxidant activity.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.50 no.spc1
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• pp.161-166
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• 2005

Objectives of this study were to select inbred lines which have a good eating quality and desirable segregates during inbreeding of waxy corn. The 64 inbred lines showed a large variance in their kernel shape and weight. 100-kernel weight, pericarp thickness, kernel length, kernel width, and kernel thickness ranged $11.7\~37.3g,\;11\~77{\mu}m,\;5.8\~9.6mm,\;6.5\~10.0mm$, and $4.1\~6.8mm$, respectively. The physicochemical analysis of 64 waxy corn inbred lines showed crude protein, crude fat, free sugar, and amylopectin content ranging $8.7\~15.8\%,\;2.3\~5.8\%,\;1.1\~11.0\%,\;and\;78.5\~93.8\%$, respectively. The texture property analysis of 64 inbred lines by texture analyzer showed a big difference. Gumminess, hardness, and chewiness of 64 inbred lines ranged $91\~383,\;181\~394,\;and\;73\~370$, respectively. The principal component analysis for 14 characteristics related to kernel quality showed that $73.1\%$ of the total variation could be attributed to the first five principal components. Biological meaning of the principal component was explained clearly by the correlation coefficient between principal components and characters. The first principal component appeared to correspond to small kernel and bad eating quality, The second principal component appeared to correspond to large kernel and good eating quality. The 64 inbred lines were classified into 8 groups by the cluster analysis using the first and second principal component. Among the groups, group VII and VIII included inbred lines with good eating quality that had thin pericarp thickness, low protein content, large kernel, and soft tenderness.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.465-474
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• 2009

To measure the amount of nonpoint source pollution, some efforts are tried to utilize satellite imagery. But, as the factors for water models do not relate with the landcover categories for satellite imagery, satellite imagery are adapted to roughly classified thematic map or used only for the image interpretation. The purpose of this study is to establish the landcover categories of satellite imagery to relate with the water models. To establish the categories of the landcover for the water models, it was investigated to get main factors of water flow models for the nonpoint source pollution and to review the existing study and the classification system. For this result, it was convinced that the basic unit on the nonpoint source pollution, landcover coefficients of SCS Curve Number, the crop factor of Universal Soil Loss Equation, Manning's roughness coefficients are the useful parameters to extract information from the satellite imagery. After the setup the categories for the landcover classification, it was finally defined from the consultation of the water model specialist. Woopo wetland watershed was selected to the study area because it is a representative wetland in Korea and needs the management system for nonpoint source pollution. There were used Landsat ETM Plus and SPOT-5 satellite imagery to assess the result of the image classification.

• Korean Journal of Plant Resources
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• v.23 no.4
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• pp.293-302
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• 2010

Taxa of Artemisia collected in Korea were constructed by molecular phylogenetic analysis based on the internal transcribed spacer(ITS) regions of nrDNA. The length of the ITS sequences aligned using the clustal X program was 636~643 bp, and the lengths of the ITS1 and ITS2 regions were 251~255 bp and 217~222 bp, respectively. The total number of variable sites was 95 for the entire sequence, and a parsimony- informative site represented an efficacious site in ITS1 rather than in ITS2. The maximum parsimony tree as calculated by the MEGA 4 program was clustered into five clades. The taxa(A. capillaris, A. japonica var. japonica, A. japonica var. hallaisanensis, A. japonica subsp. littoricora) degenerated ovary of clade 1 was supported as the subgenus Dracunculus by Ling's classification system. The results show that A. nakaii and A. fukudo were quite similar genetically(Boostrap 99%) and that the scientific name of Korean A. dubia should be reconsidered. A. sp. distributed in Ganghwa province was grouped with A. argyi(Boostrap 89%). These results suggest that the molecular techniques used in this study could be useful for the phylogenetic analysis of Korean Artemisia herbs having variations in their morphological characteristics.

• Journal of Applied Biological Chemistry
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• v.66
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• pp.484-491
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• 2023

Maize is one of the major crops consumed in worldwide, which nutrients accounts for a large amount of starch, but also functional components, and phenolic acid is known to have a high content. Maize is divided into waxy maize, sweet maize, and normal maize with its shape and use, therefore there is also a difference in nutritional composition. This study was conducted to analyze the content of functional components according to the type of maize and to produce natural variation data in consideration of environmental factors. 3 shapes of maize (waxy maize, sweet maize, and normal maize) samples cultivated in 3 regions (Suwon, Daegu, and Hongcheon) were analyzed using HPLC and GC-TOF-MS. Comparing with type through ANOVA, multivariate statistical analysis, Pearson correlation analysis, 28 components, including carotenoids and tocopherols, showed significant differences among a total of 32 components (p <0.05), 15 of them showed very significant differences (p <0.001). When comparing with regions, 15 components showed significant differences and only vanillate, syringate, C23-ol of them showed most significant differences (p <0.001). As a result of principal component analysis, cluster classification was distinguished by shape than by region, with α-carotene, cholesterol for waxy maize, vanillate and stigmasterol for sweet maize, lutein and β-carotene for normal maize had a great effect on cluster formation. It suggests that the content of functional components is more affected by genetic factors than environmental factors.

• Korean Journal of Soil Science and Fertilizer
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• v.46 no.6
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• pp.426-433
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• 2013

This study was aimed to classify soil desalination area for cultivation using NDVI (Normalized difference vegetation index) of high-resolution satellite image because the soil salinity affects the change of plant community in reclaimed lands. We measured the soil salinity and NDVI at 28 sites in the Saemangeum reclaimed land in June 2013. In halophyte and non-vegetation sites, no relation was found between NDVI and soil salinity. In glycophyte sites, however, we found that the soil salinity was below 0.1% and NDVI ranged from 0.11 to 0.57 which was greater than the other sites. So, we could distinguish the glycophyte sites from the halophyte sites and non-vegetation, and classify the area that soil salinty was below 0.1%. This technique could save the time and labor to measure the soil salinity in large area for agricultural utilization.

• Journal of the Ergonomics Society of Korea
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• v.30 no.4
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• pp.451-458
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• 2011

Objective: This study is to develop a design and evaluation guide to the ergonomic design of the farm working convenient equipments in order for the elderly to use them easily and safely. Background: The aging population has already increased in farm villages. But due to the usage of the farm working equipments that did not reflect the characteristics and functional changes of aging, accidents and patients with disease are increasing. Method: The study investigated the functional changes and physical, cognitive, and sensuous characteristics of the aged. By determining the criteria for classification of the convenient equipments by crop, and by finding out the items necessary for the ergonomic design, a guide to this study is proposed. Results: It is obvious that the physical, cognitive and sensuous functions change as the aging process continues. Therefore, for the design and evaluation of Control Panel, Control Lever, Frame Size, Shape, and Equipment Weight that are the necessary items for the ergonomic approach for the farm working equipments, such characteristics have to be reflected. Conclusion: Through this study, a guide to the design and evaluation of convenient equipments for the farm works that reflected the aging characteristics and functional changes has been proposed. Application: The result of this study is to expect not only designers but also related specialists to make the best use of it.

• International Journal of Industrial Entomology and Biomaterials
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• v.31 no.2
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• pp.115-126
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• 2015

The tropical climate prevailing in India adversely affects temperate bivoltine silkworm rearing and causes crop loss especially during summer. Identification of high temperature tolerant bivoltine breeds by screening for thermotolerance in the silkworm, Bombyx mori (Lepidoptera: Bombycidae) is an essential prerequisite for the development of thermotolerant bivoltine breeds / hybrids. Therefore, in this study, 20 silkworm breeds were reared at different temperatures (25 ± 1℃,32 ± 1℃, 34 ± 1℃ and 36 ± 1℃) for 6 h every day from 3^rd d of 5^th instar to till spinning. Significant differences (p < 0.01) were found among all the rearing traits over temperature. Based on pupation percentage, SK4C and BHR3 were identified as thermotolerant bivoltine breeds. Hierarchical clustering analysis based on rearing traits at tested temperatures grouped 20 silkworm breeds in four clusters which included one cluster each of susceptible and tolerant, and two clusters of moderately tolerant silkworm breeds. This suggests that clustering based on rearing data at high temperatures by using Euclidean distance can be an effective approach in classifying the silkworm breeds on their thermotolerance capacity. The identified breeds would be used for development of thermo tolerant bivoltine silkworm breeds / hybrids.

• Korean Journal of Soil Science and Fertilizer
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• v.26 no.3
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• pp.215-221
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• 1993

중국(中國)은 1991년에 새로운 토양계통분류법(土壤系統分類法)을 1차(次) 시안(試案)으로 확정 발표하였다. 본 체계는 미국의 Soil Taxonomy 체계와 비슷한 형태계량적규준(形態計量的規準)(Morpho-metric definition)으로 되어 있고 전산(電算)프로그램화(化)도 가능한 체계로 되어 있다. 분류체계는 목(目)(Order, 토망(土網)), 아목(亞目)(Suborder, 아망(亞網)), 군(群)(Group, 토류(土類)), 아군(亞群)(Subgroup, 아류(亞類)), 속(屬)(Family, 토속(土屬)), 통(統)(Series, 토종(土種))으로 되어 있고, 현재 13개 목망(目網), 33개 아목(亞目), 77개 군(群), 301개 아군(亞群)으로 분류되어 있다. 특징적표층(特徵的表層)은 유기표층(有機表層) 등(等) 8종, 진단표하층(診斷表下層)(차표층(次表層))은 표백층(漂白層) 등(等) 10종, 기타 특징토층(特徵土層)은 석회적표층(石灰的表層) 등(等) 12종, 그리고 암성(岩性) 등(等) 23종의 토양 생성적(生成的) 특징(特徵) 또는 현상(現像)을 분류기준으로 쓰고 있다. 분류상의 특징은 고위도(高緯度)나 고산지대(高山地帶)의 영구동결층(永久凍結層)을 강조하여 아목수준(亞目水準)에서 분류하였고 논토양이나 관개퇴적토(灌漑堆積土), 영양분(營養分)이 심층(深層)까지 집적(集積)된 채전(菜田) 등(等) 인위적(人爲的) 영향(影響)을 크게 받은 토양을 최고차(最高次) 분류단위(分類單位)인 목수준(目水準)에서 독립(獨立)시키고 있을 뿐 아니라 인위적인 교란(攪亂)을 받았으나 아직 단면(斷面)의 발달이 없는 토양을 초육토(初育土)의 아목수준(亞目水準)에서 구분하고 있다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.16-25
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• 2020

Vegetation segmentation in a field color image is a process of distinguishing vegetation objects of interests like crops and weeds from a background of soil and/or other residues. The performance of the process is crucial in automatic precision agriculture which includes weed control and crop status monitoring. To facilitate the segmentation, color indices have predominantly been used to transform the color image into its gray-scale image. A thresholding technique like the Otsu method is then applied to distinguish vegetation parts from the background. An obvious demerit of the thresholding based segmentation will be that classification of each pixel into vegetation or background is carried out solely by using the color feature of the pixel itself without taking into account color features of its neighboring pixels. This paper presents a new pixel-based segmentation method which employs a multi-layer perceptron neural network to classify the gray-scale image into vegetation and nonvegetation pixels. The input data of the neural network for each pixel are 2-dimensional gray-level values surrounding the pixel. To generate a gray-scale image from a raw RGB color image, a well-known color index called Excess Green minus Excess Red Index was used. Experimental results using 80 field images of 4 vegetation species demonstrate the superiority of the neural network to existing threshold-based segmentation methods in terms of accuracy, precision, recall, and harmonic mean.