• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.579-582
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• 1999

In this paper, we propose a human face detection algorithm using adaptive skin color model and neural networks. To attain robustness in the changes of illumination and variability of human skin color, we perform a color segmentation of input image by thresholding adaptively in modified hue-saturation color space (TSV). In order to distinguish faces from other segmented objects, we calculate invariant moments for each face candidate and use the multilayer perceptron neural network of backpropagation algorithm. The simulation results show superior performance for a variety of poses and relatively complex backgrounds, when compared to other existing algorithm.

• Journal of The Korean Society of Grassland and Forage Science
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• v.36 no.1
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• pp.19-22
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• 2016

'Lucky one' is a new orchardgrass (Dactylis glomerata L.) variety developed by the National Institute of Animal Science (NIAS) in 2014. Four superior clones were selected and polycrossed for seed production to develope this new variety of orchardgrass. The agronomic growth characteristics and forage productivity of 'Lucky one' were examined at Cheonan from 2010 to 2011. Regional adaption trials were conducted in Cheonan, Hoengseong, Jinju, and Jeju from 2012 to 2014. 'Lucky one' showed growth habit of medium type in fall and spring. It has short flag leaf length with long upper internode. Plant height of 'Lucky one' was 3 cm more than that of control variety, 'Amba'. Its heading date was 2 days later than that of control variety 'Amba'. Characteristics such as waterlogging and disease resistance of 'Lucky one' were stronger or better than those of control variety, 'Amba', Especially, dry matter yield of 'Lucky one' (16,191 kg/ha) was increased 38% compared to that of control variety, 'Amba'(11,778 kg/ha). Nutritive feed values of 'Lucky one' appeared to be similar to those of control variety 'Amba' except in Vitro dry matter digestibility (IVDMD) and crude protein content.

• Journal of The Korean Society of Grassland and Forage Science
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• v.36 no.1
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• pp.15-18
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• 2016

'Onnuri 2ho' is a new orchardgrass (Dactylis glomerata L.) variety developed by the National Institute of Animal Science (NIAS) in 2014. Four superior clones were selected and polycrossed for seed production to develop this new variety of orchardgrass. The agronomic growth characteristics and forage productivity of 'Onnuri 2ho' were examined at Cheonan from 2010 to 2011. Regional adaptation trials were conducted in Cheonan, Hoengseong, Jinju and Jeju from 2012 to 2014. 'Onnuri 2ho' showed growth habit of medium type in fall and spring. It is long in length of flag leaf with medium upper internode. Plant height of 'Onnuri 2ho' was 4 cm more than that of control variety, 'Amba'. Its heading date was 4 days later than compared to control variety, 'Amba'. Characteristics such as waterlogging and disease resistance of 'Onnuri 2ho' were stronger or better than those of control variety, 'Amba', Especially, the dry matter yield of 'Onnuri 2ho' (15,814 kg/ha) was increased 34 % compared to that of control variety, Amba (11,778 kg/ha). Nutritive feed values of 'Onnuri 2ho' appeared to be similar to that of control variety 'Amba' except in Vitro dry matter digestibility (IVDMD).

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.12
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• pp.1715-1720
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• 2005

Two promising varieties of forage sorghum viz. HD-15 and J. Sel-10 were identified for their higher forage yield (350-400 quintals per hectare) compared to traditional/existing variety, HC-136 at Indian Grassland and Fodder Research Institute, Jhansi. Silage of these three forage sorghum varieties viz., HD-15, J.Sel-10 and HC-136 were prepared in three concrete silos for their nutritional evaluation in sheep. Twelve adult Muzaffarnagari Ewes, divided into three equal groups of 4 each, were offered a particular variety of sorghum silage ad libitum over a period of 30 days followed by a 6 day metabolism trial and a collection of rumen liquor and blood samples. The HD-15 variety of forage sorghum silage contained higher crude protein (CP) than both the J.Sel-10 and HC-136. Average daily dry matter (DM) intake (% of live weight) differed significantly (p<0.05) in sheep that were fed the different varieties of silage, with the maximum amount in HD-15 (2.55) followed by J.Sel-10 (2.49) and HC-136 (1.84). The average apparent digestibility of all the nutrients was low in the sheep that were fed the HC-136 variety of sorghum silage when compared to both HD-15 and J.Sel-10. However, digestibility of organic matter (p<0.05) and crude protein (p<0.01) was significantly low in the HC-136 variety. The average daily nitrogen retention was-0.19, 2.15 and 0.42 g in HC-136, HD-15 and J.Sel-10, respectively which differed significantly (p<0.01). The average digestible crude protein and total digestible nutrient (TDN) contents (%) of the silage varieties were higher in HD-15 (3.14 and 55.3) than HC-136 (0.25 and 58.6) and J.Sel-10 (1.58 and 55.3) varieties. On comparing to the maintenance requirements (ICAR, 1985) for dry matter, crude protein and total digestible nutrients, both the improved varieties (HD-15 and J.Sel-10) almost met the requirements except crude protein, which met only 73.3% of the requirement by J.Sel-10, while the HC-136 variety was unable to meet the requirements. The average rumen pH and total volatile fatty acids concentrations were comparable among the groups. However, concentrations of nitrogen metabolites were higher in the animals fed the HD-15 variety of silage. Varieties of sorghum silage also did not have any influence on the concentration of the blood metabolites. It was concluded that the HD-15 variety of sorghum silage was nutritionally superior to both J.Sel-10 and HC-136 silage.

• Journal of the Korean Wood Science and Technology
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• v.18 no.2
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• pp.79-85
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• 1990

Traditional complex joints have used to a wide variety of wooden furniture construction. Dowel joint is the most popular joint s. However design of this joint to meet specified service condition has been hampered by a lack of proven design formulas which can be use to predict their strength. The object of this study is to investigate the withdrawal strength and effect of dowel diameters in wood and wood based materials. The obtained results were as follows; 1. The relationship between withdrawal strength and dowel diameter is found to be linear. 2. Withdrawal strength of medium density fiberboard and Sepetir in end-to-side joints is superior to Antiaris, particleboard and plywood. 3. In end-to-end joints, withdrawal strength of medium density fiberboard is the most superior joint. but Sepetir. Antiaris and plywood have similarly strength and particleboard is inferiority. 4. Withdrawal strength in end-to-end joints of Antiaris and plywood is higher than in end-ta-side joints. But in end-to-end joints of Sepetir. medium density fiberboard and particleboard is similarity in end-to-side joints.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.27 no.3
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• pp.218-222
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• 1982

It has been ascertained by a few researchers that soil salinities of the saline paddy fields have some effects upon the root development of the rice plants. But much is not known about the root formations of the rice plants in different varieties cultivated at the saline paddy field. Therefore this experiments were conducted to study the salinity tolerance of rice plants via variety test. Tested varieties were Akibare, Jinheung, Milyang #30, Josaeng Tongil, Suweon #264 and Suweon #287. And testing methods were cultivation experiment at the saline paddy field and leaf-cutting method at the laboratory. The results of cultivation experiment showed Milyang #30 and Josaeng Tongil were superior to others in root formation, and those of leaf-cutting method revealed that Josaeng Tongil and Mi1yang #30 were also superior to others in root formation and root length.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.21-21
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• 2017

Severe lodging has recurrently occurred at strong typhoon's hitting in recent climate change. The identification of quantitative trait loci (QTLs) and their responsible genes associated with a strong culm and their pyramiding are important for developing high-yielding varieties with a superior lodging resistance. To identify QTLs for lodging resistance, the tropical japonica line, Chugoku 117 and the improved indica variety, Habataki were selected as the donor parent, as these had thick and strong culms compared with the temperate japonica varieties in Japan such as Koshihikari. By using chromosome segment substitution lines (CSSLs) in which chromosome segments from the japonica variety were replaced to them from Habataki, we identified the QTLs for strong culm on chrs. 1 and 6, which were designated as STRONG CULM1 (SCM1) and STRONG CULM2 (SCM2), respectively. By using recombinant inbred lines (BILs) derived from a cross between Chugoku 117 and Koshihikari and introgression lines, we also identified the other QTLs for strong culm on chrs. 3 and 2, which were designated as STRONG CULM3 (SCM3) and STRONG CULM4 (SCM4), respectively. Candidate region of SCM1 includes Gn1 related to grain number. SCM2 was identical to APO1, a gene related to the control of panicle branch number, and SCM3 was identical to FC1, a strigolactone signaling associated gene, by performing fine mapping and positional cloning of these genes. To evaluate the effects of SCM1~SCM4 on lodging resistance, the Koshihiakri near isogenic line (NIL) with the introgressed SCM1 or SCM2 locus of Habataki (NIL-SCM1, NIL-SCM2) and the another Koshihikari NIL with the introgeressed SCM3 or SCM4 locus of Chugoku 117 (NIL-SCM3, NIL-SCM4) were developed. Then, we developed the pyramiding lines with double or triple combinations derived from step-by-step crosses among NIL-SCM1 NIL-SCM4. Triple pyramiding lines (NIL-SCM1+2+3, ~ NIL-SCM1+3+4) showed the largest culm diameter and the highest culm strength among the combinations and increased spikelet number due to the pleiotropic effects of these genes. Pyramiding of strong culm genes resulted in much increased culm thickness, culm strength and spikelet number due to their additive effect. SCM1 mainly contributed to enhance their pyramiding effect. These results in this study suggest the importance of identifying the combinations of superior alleles of strong culm genes among natural variation and pyramiding these genes for improving high-yielding varieties with a superior lodging resistance.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.11a
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• pp.17-17
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• 2009

Single-walled carbon nanotubes (SWCNTs) have attracted much attention as promising materials for transparent conducting films (TCFs), thanks to their superior electrical conductivity, high mechanical strength, and complete flexibility. The CNT-based TCFs can be used in a variety of application fields as flexible, transparent electrodes, including touch panel screens, flexible electronics, transparent heaters, etc. First of all, this study investigated the effect of a variety of surfactants on the dispersion of SWCNTs in an aqueous solution. Following the optimization of the dispersion by surfactants, flexible TCFs were fabricated by spraying the CNT suspension onto poly(ethylene terephthalate) (PET) substrates. The sheet resistances of the TCFs having different surfactants were investigated with treatment in nitric acid ($HNO_3$) whose concentration and period of treatment time were varied. It seems that the $HNO_3$ removes the surfactants from and is simultaneously doped into the SWCNT network, reducing the contact resistance between CNTs. TCFs were characterized by UV-VIS spectroscopy, thermogravimetric analyzer (TGA), scanning electron microscopy (SEM), and four-point probe.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.11a
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• pp.254-254
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• 2009

Single-walled carbon nanotubes (SWCNTs) have attracted much attention as promising materials for transparent conducting films (TCFs), thanks to their superior electrical conductivity, high mechanical strength, and complete flexibility. The CNT-based TCFs can be used in a variety of application fields as flexible, transparent electrodes, including touch panel screens, flexible electronics, transparent heaters, etc. First of all, this study investigated the effect of a variety of surfactants on the dispersion of SWCNTs in an aqueous solution. Following the optimization of the dispersion by surfactants, flexible TCFs were fabricated by spraying the CNT suspension onto poly(ethylene terephthalate) (PET) substrates. The sheet resistances of the TCFs having different surfactants were investigated with treatment in nitric acid ($HNO_3$) whose concentration and period of treatment time were varied. It seems that the $HNO_3$ removes the surfactants from and is simultaneously doped into the SWCNT network, reducing the contact resistance between CNTs. TCFs were characterized by UV-VIS spectroscopy, thermogravimetric analyzer (TGA), scanning electron microscopy (SEM), and four-point probe.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.1 no.1
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• pp.87-94
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• 2001

Silicon nitride films grown by plasma-enhanced chemical vapor deposition (PECVD) are useful for a variety of applications, including anti-reflecting coatings in solar cells, passivation layers, dielectric layers in metal/insulator structures, and diffusion masks. PECVD systems are controlled by many operating variables, including RF power, pressure, gas flow rate, reactant composition, and substrate temperature. The wide variety of processing conditions, as well as the complex nature of particle dynamics within a plasma, makes tailoring SiN film properties very challenging, since it is difficult to determine the exact relationship between desired film properties and controllable deposition conditions. In this study, SiN PECVD modeling using optimized neural networks has been investigated. The deposition of SiN was characterized via a central composite experimental design, and data from this experiment was used to train and optimize feed-forward neural networks using the back-propagation algorithm. From these neural process models, the effect of deposition conditions on film properties has been studied. A recipe synthesis (optimization) procedure was then performed using the optimized neural network models to generate the necessary deposition conditions to obtain several novel film qualities including high charge density and long lifetime. This optimization procedure utilized genetic algorithms, hybrid combinations of genetic algorithm and Powells algorithm, and hybrid combinations of genetic algorithm and simplex algorithm. Recipes predicted by these techniques were verified by experiment, and the performance of each optimization method are compared. It was found that the hybrid combinations of genetic algorithm and simplex algorithm generated recipes produced films of superior quality.