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Photosynthesis and Net Assimilation Rate in two-year-old Seedlings of Pinus rigida and Pinus rigida × P. taeda F1 (리기다소나무와 리기테다소나무 묘목(苗木)의 광합성능력(光合成能力)과 순동화율(純同化率) 비교(比較) 연구(研究))

  • Youn, Yang;Lee, Don Koo;Shim, Sang Yung
    • Journal of Korean Society of Forest Science
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    • v.63 no.1
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    • pp.42-50
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    • 1984
  • Photosynthetic ability and net assimilation rate were compared between two-year-old seedlings of Pinus rigida and of Pinus rigida ${\times}$ P. taeda $F_1$ to examine whether growth potential could be predicted at young stages. Six families per each species used in this study were grown at the nursery of the Institute of Forest Genetics in Suweon. Photosynthesis and net assimilation rate showed seasonal and genetic variations among the families. Photosynthetic ability of most of the families except for three families of Pinus rigida decreased with increasing ages, while net assimilation rate of all the families decreased with increasing ages. The rank of photosynthetic ability and net assimilation rate among the families varied during the experimental period. Thus, growth potential was better predicted from total photosynthetic ability and total net assimilation rate rather titan from photosynthetic ability and net assimilation rate at a certain period. Total photosynthetic ability and total net assimilation rate were correlated with total dry weight. Correlation coefficients were 0.6394 and 0.7998, respectively. Thus, growth potential of the two species could be predicted by the measurement of total photosynthetic ability and total net assimilation rate. Family K.G. No. $13{\times}7-107$ from Pinus rigida ${\times}$ P. taeda $F_1$ and family K.G. No. 1 from Pinus rigida were the best in total photosynthetic ability and total net assimilation rate within species.

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Flow resistance of bottom pair trawl nets and scale effect in their model experiments (쌍끌이 기선저인망의 유수저항 특성 및 모형 실험시의 축척비 영향)

  • Kim, Dae-Jin
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.2
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    • pp.203-211
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    • 2015
  • The purpose of this study is to identify the flow resistance of the bottom pair trawl nets. The bottom pair trawl nets being used in fishing vessel (100G/T, 550ps) was selected as a full-scale net, and 1/10, 1/25 and 1/50 of the model nets were made. Converted into the full-scale net by Tauti's modeling rule and Kim's modeling rule, when resistance coefficient k of each net was calculated by substituting into above equation for flow resistance R and wall area of nets S values of each net ${\upsilon}$. Because resistant coefficient k decreases exponentially according as flow velocity ${\upsilon}$ increases to make $k=c{\upsilon}^{-m}$, c and m values of each net were compared. As a result, as the model was smaller, c and m values was smaller in the two rule into standard of 1/10 model value, decrease degree of 1/25 model was almost same in the two rule, decrease degree of 1/50 model was very big in Tauti's modeling rule. Therefore, in the result of experiment, because average of c and m values for similarly 1/10 and 1/25 model were given $c=4.9(kgf{\cdot}s^2/m^4)$ and m=0.45, R (kgf) of bottom pair trawl net could show $R=4.9S{\upsilon}^{1.55}$ using these values. As in the order of cod-end, wing and bag part for 1/25 and 1/50 model net were removed in turn, measured flow resistance of each, converted into the full-scale, total resistance of the net and the resistance of each part net were calculated. The resistance ratio of each part for total net was not same in 1/25 and 1/50 model each other, but average of two nets was perfectly same area ratio of each part as the wing, bag and cod-end part was 43%, 45% and 12%. However, the resistance of each part divided area of the part, calculated the resistance of per unit area, wing and bag part were not big difference each other, while the resistance of cod-end part was very large.

Effectiveness of Net Traps and Clove Oil in Controlling Large Black Chafers Beetle (Holotrichia parallela ) in Organic Pear Orchards (유기재배 배 과수원에서 그물망과 정향유 처리가 큰검정풍뎅이 방제에 미치는 영향)

  • Seo, Ho-Jin;Choi, Eu Ddeum;Song, Janghoon
    • Korean journal of applied entomology
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    • v.58 no.2
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    • pp.159-164
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    • 2019
  • The purpose of this study was to investigate whether leaf damage in pear orchards caused by large black chafer beetles can be controlled through net traps and clove oil treatment. In June 2017, we measured large black chafer beetle population density and leaf damage rates in two orchards, located in Boseong and Hampyeong, under three treatments: net, net plus clove oil, and control. In order to evaluate the effect of net position on the adult beetles, nets were placed outside the orchard and along the upper and lower parts of a horizontal trellis. The adult beetle population density was 20.4 to 34.7% lower in the net alone treatment, and 21.1 to 38.1% lower in the combined net and clove oil treatment than in the control. The adult beetle population density was 10.9-14.4 times higher outside the orchard and 5.1 to 9.1 times higher in the upper parts of the horizontal trellis than in the lower parts of the horizontal trellis. Leaf damage under both the net only and net plus clove oil treatments was significantly lower than that in the control at both sites. Therefore, intensive net installation around orchards may be a practical organic alternative to prevent leaf damage caused by large black chafer beetles.

The opening efficiency of the miniaturized small-scale net for anchovy boat seine to reduce the fleet size (선단축소를 위한 기선권현망 축소형 소형어구의 전개성능)

  • AN, Young-Su;BACK, Young-su;JIN, Song-han;JANG, Choong-Sik;KANG, Myoung-hee;CHA, Bong-jin;CHO, Youn-hyoung;CHA, Ju-hyeng;KIM, Bo-Yeon
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.55 no.1
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    • pp.7-19
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    • 2019
  • This study was conducted in order to improve opening efficiency of the miniaturized small-scale net for anchovy boat seine gear to reduce the fleet size. Field experiment was performed to observe geometry of nets by catcher boats. When the distance between the two ships was 150, 300 and 450 m and the speed of towing nets was 0.6, 0.9, and 1.2 kt, the vertical opening and actual opening of each part of the miniaturized small-scale net was as follows: the front part of the wing net, 6.8-9.5 m, 45-63%; the middle part of the wing net, 16.1-30.7 m, 34-65%; the entrance of the inside wing net, 21.6-41.2 m, 44-84%; the square and bosom, 17.4-34.0 m, 38-75%; the entrance of the body net, 16.5-29.4 m, 36-64%; the entrance of the bag net, 14.5-21.9 m, 70-106%; the flapper, 6.7-7.7 m, 81-83%, and the end of the bag net, 8.6-10.9 m, 64-81%. The tension of towing nets was measured to be 2,734-6,812 kg approximately, which indicates that the fleet can tow nets with 350 hp, the standard engine horse power. The fishing operation time was shortened comparing to existent net with the large-scale buoy attachment operation. It was also possible to operate the ship without fish detecting boat.

An Experimental Comparison of CNN-based Deep Learning Algorithms for Recognition of Beauty-related Skin Disease

  • Bae, Chang-Hui;Cho, Won-Young;Kim, Hyeong-Jun;Ha, Ok-Kyoon
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.12
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    • pp.25-34
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    • 2020
  • In this paper, we empirically compare the effectiveness of training models to recognize beauty-related skin disease using supervised deep learning algorithms. Recently, deep learning algorithms are being actively applied for various fields such as industry, education, and medical. For instance, in the medical field, the ability to diagnose cutaneous cancer using deep learning based artificial intelligence has improved to the experts level. However, there are still insufficient cases applied to disease related to skin beauty. This study experimentally compares the effectiveness of identifying beauty-related skin disease by applying deep learning algorithms, considering CNN, ResNet, and SE-ResNet. The experimental results using these training models show that the accuracy of CNN is 71.5% on average, ResNet is 90.6% on average, and SE-ResNet is 95.3% on average. In particular, the SE-ResNet-50 model, which is a SE-ResNet algorithm with 50 hierarchical structures, showed the most effective result for identifying beauty-related skin diseases with an average accuracy of 96.2%. The purpose of this paper is to study effective training and methods of deep learning algorithms in consideration of the identification for beauty-related skin disease. Thus, it will be able to contribute to the development of services used to treat and easy the skin disease.

Curatorial Methods of Net Art (넷아트 큐레토리얼 방법론)

  • Lim, Shan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.155-160
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    • 2022
  • This paper intends to focus on the practical activities and historical significance of network art, that is, 'net art' as an artistic form that depends on network technology. This is because the appearance of net art, which constructs a new interactive art that cooperates and exchanges with each other beyond the boundaries of time and space, can be a contemporary alternative in overcoming the limitations of traditional art. Another important research area to be considered in this paper is net art curating, as well as considering the significance of net art in art history. As new media art that is defined as a 'process' rather than a complete object, net art is a digital art that requires functions such as aesthetic appropriation, dissemination, and mediation performed online, unlike physical presentations with high perfection in exhibition halls. It is accompanied by a new social and cultural curatorial. This appearance requires both artists and curators to reorganize the strategy that net art curating in technoculture should have. Therefore, this paper attempts to question the creative strategies of net art in the wave of globalization in the 21st century, and to examine the artistic meaning and critical value of the experimental net art curatorial method that emerged through the realm of new technology and media. For this purpose, this paper demonstrated key examples of net art works and exhibition projects that started with Fluxus in the 1960s and are spreading all over the world in the 2000s.

매듭풀

  • Insam NET
    • 인삼약초
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    • v.4 no.1 s.11
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    • pp.10-11
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    • 2006
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