• The Korean Journal of Ecology
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• v.8 no.1
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• pp.1-5
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• 1985

The plastochron index (PI) provides possibility on studies of the effects of various environmental factors on morphological and physiological development of plants. The PI of Erickson and Michemlini(1957) could be used merely when leaf n is longer an leaf n+1 is smaller than the references length at any time. If both the lengths of leaf n and n+1 are smaller or longer than the reference length, it could not estimated. In this study, the PI of Erickson and Michelini was complemented and the linear patterns according to leaf arrangement was represented, PI is n-(lnLR-lnLn)/(lnLn-lnLn+1). And when both the lengths of leaf n and n+1 are longer than the length of reference, PI is n+1+(ln Ln+1-lnLR)/(lnLn-lnLn+1). The linear model of PI is changed by the various environmental factors and the linear patterns are different according to leaf arrangement. According to leaf arrangement, the equation of the general regression lines is Yin-(i-j)=a-(n-1)(q1+...+qi-1)-(q1+...+qj-1)+rt+$\varepsilon$. Where Y:the logarithmic of the leaf length in question, i:leaf number hang on the one node, n:the number counting from base, q:spacing on the Y-axis, j:0, 1, 2, ..., r:slope, t:time, $\varepsilon$:error.

• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.571-582
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• 2018

Recently, development of deep learning has shown better image classification result than human. According to recent research, a hidden layer of deep learning is deeper, and a preservation of extracted features shows good results. However, in the case of general images, the extracted features are clear and easy to sort. This study aims to classify plant leaf images. This plant leaf image has high similarity in each image. Since plant leaf images have high similarity not only between images of different species but also within the same species, classification accuracy is not increased by simply extending the hidden layer or connecting the layers. Therefore, in this paper, we tried to improve the hidden layer of the algorithm called DenseNet which shows the recent excellent classification results, and compare the results of several different modified layers. The proposed method makes it possible to classify plant leaf images collected in a natural environment more easily and accurately than conventional methods. This results in good classification of plant leaf image data including unnecessary noise obtained in a natural environment.

• The Plant Pathology Journal
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• v.17 no.5
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• pp.264-270
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• 2001

The effects of leaf extracts of 14 different non-host plant species on in vitro conidial germination of Phaeoisariopsis personata, the causal organism of late leaf spot(LLS) of groundnut were evaluated. Aqueous and ethanol leaf extracts of Datura metel, Lawsonia inermis and aqueous leaf extracts of Sphaeranthus indicus at 25%(w/v) concentration completely inhibited the conidial germination of P. personata both at 24h and 48h after incubation. Aqueous leaf extracts of Blumea bifoliata, Eucalyptus globules, Ocimum sanctum and Pongamia pinnata, and ethanol leaf extracts of Azadirachta indica and S. indicus inhibited the conidial germination by >90%. Aqueous and ethanol leaf extract of L. inermis and S. indicus were highly inhibitory to conidial germination up to 1% concentration. Aqueous and ethanol leaf extracts of D. metel and ethanol leaf extract of A. indica were highly inhibitory to P. personata even at 0.01% (100 ppm) concentration. Ethanol leaf extract of A. indica up to $80^{\circ}$, aqueous leaf extracts of D. metel and S. indicus up to $100^{\circ}$, and L. inermis up to $60^{\circ}$, were highly stable and retained their fungitoxic effects. Extract of D. metel was antifungal even after 180 days when it was stored both at room temperature and $4^{\circ}$. Aqueous leaf extract of D. metel at 2% concentration effectively reduced the development of LLS by >60%, under greenhouse conditions both in prophylactic and simultaneous applications. Extracts of D. metel could be a potential economical and an eco-frendly alternative for control of late leaf spot, and its efficacy under field conditions is further being evaluated.

• Korean journal of applied entomology
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• v.41 no.2
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• pp.85-89
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• 2002

Development and reproduction of the rice armyworm, Pseudaletia separara, were investigated on different diets (corn leaf, rice leaf, Chinese cabbage leaf, cabbage leaf, sweetpotato leaf, soybean leaf and silkworm artificial diet). Egg and pupal periods were not different among the diets. But larval periods showed significant difference among diets. Developmental period from egg to adult was shortest as 32.5 d on corn leaf and longest as 46.6 d on soybean leaf. At 16 days after hatching, larval weights on rice and silkworm artificial diet were heavier than those on other diets. The larvae reared on cabbage leaf and sweetpotato leaf failed to pupate. Survival rates from larva to adult were highest (70.6%) on com leaf lowest (39.8%) on soybean leaf. The longevity of female adults was not affected by the larval diets. Female adults showed higher fecundity when the larvae were fed with corn leaf, rice leaf and silkworm artificial diet than other diets. Net reproduction rate (R$_{0}$) was highest as 1218.5 on silkworm artificial diet. The intrinsic rate of natural increase (R$_{0}$) ranged from 0.115 to 0.175, and was maximum on com leaf.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.9 no.6
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• pp.36-42
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• 2010

In this study, the deformation and stress are analyzed through modal and harmonic response analysis at resonance on leaf spring. The displacement range of 7 to 14 mm is shown at natural frequencies as 6 kinds of resonance modes. The maximum deformation is shown as 8.8781mm at Mode 2. The maximum displacement and stress at leaf spring are shown as 0.0458 mm and 72.533 MPa respectively on 1200 Hz. The comfortability of passenger becomes better on leaf spring at suspension system by use of this design model.

• Journal of Digital Contents Society
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• v.16 no.2
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• pp.235-244
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• 2015

This study proposes a leaf modeling method that uses feature-based warping for efficient generation of various digital leaves. The proposed method uses warping method, one of image processing application techniques that can control various shapes of leaves in an easy, intuitive way, and generate natural patterns of veins efficiently. First, information on approximated contour is detected from a leaf blade image to identify the shape of a blade. Based on this, control line is automatically calculated to be used for feature-based warping. Then, control line-based warping is conducted to modify forms of leaf blade images in an intuitive way, automatically generating leaves of various shapes. And natural vein patterns are generated by applying a contour-based venation growth algorithm from contour information of the modified leaf blade images. This study performs experiments to verify whether various shape of leaves that comprise plants can be efficiently generated using a sample binary image of a blade. Also, we demonstrate that express the natural growth of leaves by applying warping to the growth of the leaf blade.

• Journal of Wetlands Research
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• v.15 no.2
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• pp.171-177
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• 2013

This study was conducted to find the leaf morphological responses of Quercus serrata and Q. aliena which are potential natural vegetation of riverine in Korea under elevated $CO_2$ and increased temperature. Rising $CO_2$ concentration was treated with 1.6 times than control(ambient) and increased temperature with $2.2^{\circ}C$ above the control(ambient) in the glass greenhouse. As a result, leaf width length, leaf lamina weight and leaf area of Q. serrata and Q. aliena was respectively increased, and number of leaves and specific leaf area(SLA) was decreased by elevated $CO_2$ and temperature. Leaf width length, leaf lamina length, leaf lamina weight, number of leaves, leaf area, and specific leaf area of Q. serrata were not statistically significant difference between control and treatment. Leaf width length and leaf weight of Q. aliena was increased, but specific leaf area was decreased. These results indicated that Q. aliena was to be sensitive than Q. serrata in response to global warming situation. According to the principal component analysis(PCA), two oak species were arranged based on factor 1 and 2 in the control and warming treatment. And change on the warming treatment was clearly distinguishable from the Q. aliena than Q. serrata.

• Journal of Plant Biotechnology
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• v.33 no.2
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• pp.111-115
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• 2006

This study was carried out to establish genetic transformation of Rot 3 gene into perilla plants and to evaluate aromatic compounds, brightness, anthocyanin contents and leaf index in Rot 3 overexpressing transgenic lines. Rot 3 transmitted successfully from T$_1$ to T$_2$ generation showing stable gene expression. It revealed that there was no difference between transgenic and non-transgenic plants in major agronomic characteristics of progeny analysis. There was not much difference in aromatic compounds and leaf brightness did not showed variations between transgenic and non-transgenic, but leaf index was distinguished, respectively.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.7
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• pp.82-91
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• 1995

Many kind of springs are used in the suspension of automotive vehicles and among these the leaf spring and the air spring are included. These two springs have not been generally used together in one suspension, but recently the automotive models which use these two springs together increase. This reason is due to the merit of the combination of two type springs. The merits are two. One is the character of air spring, that is, the natural frequen- cy of system is constant in spite of variable weight. The other is the character of leaf spring, that is, the suspension mechanism is simple. The combination spring is used in medium size and special purpose bus. In this paper, we formulate the condition which the leaf spring must satisfy to be optimal design in the combination spring. And experiment is performed to prove the theory. The results are that the combination spring is better than leaf spring in the ride, and that the purposed theory is good for the combination spring design.

• Journal of Korean Society of Forest Science
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• v.71 no.1
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• pp.82-89
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• 1985

Morphological characteristics of leaves of 10 natural populations of Quercus mongolica and 9 natural populations of Q. serrata were investigated to study inter-population and intra-population variability as well as interspecies variability. Five leaf form indices, blade length/max. blade width, blade length/petiole length, blade length/vein number, upper 1/3 blade width/max.blade width, upper 1/3 blade width/lower 1/3 blade width, as well as petiole length and vein number were included in the present study of Leaf variabilities of the Quercus population. All of the investigated leaf variabilities except for the case of blade length/petiole length, in Q. serrata indicated highly significant differences among the populations and among the individual trees within population. Both of Q. mongolica and Q. serrata represented different leaf forms between southern populations and northern populations in the indices of blade length/max. blade width, blade length/petiole length and blade length/vein number, and so the leaf forms of northern populations were more similar to the unique characters of Q. mongolica and those of southern populations were more similar to the unique characters of Q. serrata. The variability among individual trees within population was more notable in blade length/petiole length, and petiole length than in other leaf form indices, and also it was more obvious for Mt. Kyeryrong population located in middle part of the country than for other population.