• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.2
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• pp.70-81
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• 1998

This paper proposes an accurate and cost-effective COA defuzzifier of fuzzy logic controller (FLC). The accuracy of the proposed COA defuzzifier is obtained by involving both membership values and spans of membership functions in calculating a crisp value. The cost-effectiveness of the proposed COA defuzzifier is obtained by replacing the division in the COA defuzzifier by finding an equilibrium point of both the left and right moments. The proposed COA defuzzifier has two disadvantages that it ncreases the hardware complexity due to the additional multipliers and it takes a lot of computation time to find the moment equilibrium point. The first disadvantage is overcome by replacing the multipliers with the stochastic AND operations. The second disadvantage is alleviated by using a coarse-to-fine searching algorithm that accelerates the finding of moment equilibrium point. Application of the proposed COA defuzzifier to the truck backer-upper control problem is performed in the VHDL simulation and the control accuracy of the proposed COA defuzzifier is compared with that of the conventional COA defuzzifier in terms of average tracing distance.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.9
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• pp.956-962
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• 2008

This paper is devoted to yarn tension control problem in winding machines. The passive take-up unit is replaced by active one with ADRC(Active Disturbance Rejection Control) and it was compared with the method using conventional PD(Proportional-Derivative) controller. The main part of ADRC is ESO(Extended State Observer) which continuously estimates nonlinearities of the system, such as intrinsic nonlinearity, external disturbance and sensor noise. Then the estimated nonlinearity is used to compensate the real one, thus making controlled system linear. A number of experiments have been conducted in order to verify the performance of the original winding system to the modified one. Experiments have shown improved efficiency of the system with adopting active yarn tension control. Experimental results show that the ADRC achieves a better tension response than PD controller and is robust to parameters variation.

• Korean Journal of Heritage: History & Science
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• v.53 no.3
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• pp.224-243
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• 2020

The rock-cut relief of two Buddhas seated side-by-side in Wonpungri is a large Buddha sculpture in relief on the side of a cliff in Wonpung-ri, Goesan. This Buddha sculpture is from the Buddhist scripture Sutra of the Lotus. <法華經> Two seated Buddhas statues were prevalent in the Balhae Kingdom, but this was not popular in Silla and Goryeo. In the main text, the time that the two seated Buddhas in Wonpung-ri was created is identified as being during the 10th century. King Gwangjong created a Buddha statue for political purposes. The relief of two seated Buddha image carved on a cliff is located on an important traffic route over the Sobaek Mountain Range. After King Gwangjong took the throne, he paid close attention to the reigning powers of Jincheon and Cheongju because the people of Jincheon and Cheongju were engaged in a power struggle against Gwangjong. The huge relief of two seated Buddhas statue shows the authority of King Gwangjong. In particular, the people of Jincheon and Cheongju had to see this Buddha statue when crossing the Sobaek Mountain Range. The image contained in the relief of the two seated Buddhas features many characteristics of the sculpture style of the Balhae Kingdom. After the fall of Balhae, many of the Balhae people settled in Mungyeong. Balhae people from Mungyeong participated in the production of the relief of the two seated Buddhas. Through the relief of the two seated Buddhas, King Gwangjong wanted to show the people of Jincheon and Cheongju that the Balhae people were supporting him. The relief of two seated Buddhas reflects the historical situation of the King Gwangjong era in the late 10^th century and the style of sculpture.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.90-90
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• 2012

극세섬유는, 1970년대 말부터 일본의 합섬업체들이 천연소재인 Silk를 모방하기 위해 개발을 시작하였으며, 개발된 섬유의 굵기가 0.5d(1denier=1g/9,000m)이하인 것을 말한다. 이후 극세사에 대한 끊임없는 노력으로, 1980년대에는 천연스웨이드 풍의 인조피혁의 제조가 가능한 0.1d이하급 초극세사가 N/P(Nylon/Polyester) 복합방사된 형태로 개발되었으며, 일본, 및 한국 등에서 이들 소재로 제조된 직편물 제품이 첨단 고부가소재로서 호황을 누려왔다. 이러한 초극세사는 다양한 형태로 발전되어왔는데, 해도형(Islands-in-a-Sea Type), N/P(Nylon/PET), P/N(PET/Nylon) 등이 대표적인 형태이며, 가공공정 중에서 분할이 되면서 그 특성을 발현한다고 하여 분할사, 형태에 따라서 N/P 분할사라 하기도 한다. 최근들어 이러한 N/P 분할사는 기존의 의류용 용도뿐만 아니라, Wiping Cloth, 극세사 타울, 항진드기용 침장 등 다양한 비의류용 소재로도 확대 전개되고 있으며, 이렇게 다양화 되어가고 있는 용도에 따른 공정별 최적 가공 방법에 대한 연구가 진행 중이다. 사가공 공정에 있어서는 텍스쳐링 방법이 적용되기도 하는데, 가장 보편화된 텍스쳐링 방법으로는 DTY(Draw Texturing Yarn), ATY(Air Texturing Yarn) 등의 형태가 있으며, 이러한 텍스쳐링 방법은 물성에 민감한 N/P 분할사의 강도, 신도, 분할도에 영향을 미치게 된다. 본 연구에서는 기존의 텍스쳐링 방법이 아닌 Fancy사 형태로 사가공을 하였으며, 직물로 제직하고, 분할 가공하여 직물로써의 물성까지 분석하였다. Fancy사는 색이나 형의 변화로 디자인효과를 준 실을 말하는데, 심사, 부사, 압사로 이뤄지며 의장사, 장식사 등으로 불려지기도 한다. 주요 공정을 보면, 크릴형성용 부사를 500-600T/M으로 가연한 연사를 얻는 제1공정과, 이 가연된 부사와 심사를 합사하는 제2공정 및 합사된 크릴의 뒤틀림을 방지하기 위하여 압사로 크릴을 고정하여 주는 제3공정으로 이루어진다. 사용된 N/P 분할사는 NP30/36dty, NP50/36dty를 사용하였으며, 부사의 오버피드 및 피드되는 사에 따라 각각 8종, 7종의 Fancy사를 제조하여 섬도(Denier), 강도(Tenacity), 신도(Elongation)를 측정하였다. 또한, 이들 사들로 제직 및 분할가공을 하여 인장강도, 인장신도, 인열강도, 마모강도, 공기투과도 등의 물성과 중량, 두께를 측정하였으며, 온도, NaOH 농도, 시간 등의 분할 가공조건에 따른 직물의 인열강도 변화도 측정하였다. 이렇게 공정별 조건에 따른 물성의 변화분석을 통해 추후 N/P의 제품화 전개에 도움이 되고자 하였다.

• Development and Reproduction
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• v.7 no.1
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• pp.49-56
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• 2003

There have been reports that administrated high-dose gonadotropin-releasing hormone-agonist(GnRH-Ag) suppresses endogenous gonadotropin production and inhibits function of ovary. In human IVF-ET program, however, GnRH-Ag is employed in large amounts during superovulation induction resulting to luteal phase defects which must be supported with progesterone. To elucidate the reason of luteal phase defects by GnRH-Ag, the aim of this study was to investigate the apoptosis changes in the ovary and the hormonal changes in the serum after GnRH-Ag and PMSG administration in adult mice in a method similar to human superovualtion induction. GnRH-Ag(10 ${\mu}$g) or saline was injected every 12h beginning 48h prior to PMSG injection until 48h at)or PMSG injection when blood sampling and ovary collection was performed. In results, the ovary weight in the GnRH-Ag only injection group was significantly lower when compared with the other two groups, PMSG only or PMSC + GnRH-Ag injection. The ratio of preantral follicles in the ovary are increased in the GnRH-Ag only group, while the ratio of antral follicles are decreased and the corpus luteum ratio is increased in the PMSG + GnRH-Ag group. The proportion of all follicles showing apoptosis in the GnRH-Ag only in.iection group was seen to be more than twice the proportion seen in the PMSC only injection group, and such increased apoptosis is decreased after addition of PMSC. The serum levels of both estradiol and progesterone were significantly lower in the CnRH-hg only group compared to those in the other two groups. When the administration of GnRH-Ag were followed by PMSG in;ection, however, estradiol concentration was completely recovered compared to the serum level of PMSG group, but not progesterone level. In conclusion the use of GnRH-Ag in human IVF-ET program may induce the apoptosis and the suppression of hormone production by ovary leading to luteal phase defects, thus adequate progesterone support seems to be necessary against them.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.8 no.2
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• pp.47-60
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• 1975

For the calculation of population parameter and estimation of recruitment of a fish population, an application of multiple regression method was used with some statistical inferences. Then, the differences between the calculated values and the true parameters were discussed. In addition, this method criticized by applying it to the statistical data of a population of bigeye tuna, Thunnus obesus of the Indian Ocean. The method was also applied to the available data of a population of Pacific saury, Cololabis saira, to estimate its recuitments. A stock at t year and t+1 year is, $N_{0,\;t+1}=N_{0,\;t}(1-m_t)-C_t+R_{t+1}$ where $N_0$ is the initial number of fish in a given year; C, number o: fish caught; R, number of recruitment; and M, rate of natural mortality. The foregoing equation is $$\phi_{t+1}=\frac{(1-\varrho^{-z}{t+1})Z_t}{(1-\varrho^{-z}t)Z_{t+1}}-\frac{1-\varrho^{-z}t+1}{Z_{t+1}}\phi_t-a'\frac{1-\varrho^{-z}t+1}{Z_{t+1}}C_t+a'\frac{1-\varrho^{-z}t+1}{Z_{t+1}}R_{t+1}......(1)$$ where $\phi$ is CPUE; a', CPUE $(\phi)$ to average stock $(\bar{N})$ in number; Z, total mortality coefficient; and M, natural mortality coefficient. In the equation (1) , the term $(1-\varrho^{-z}t+1)/Z_{t+1}$s almost constant to the variation of effort (X) there fore coefficients $\phi$ and $C_t$, can be calculated, when R is a constant, by applying the method of multiple regression, where $\phi_{t+1}$ is a dependent variable; $\phi_t$ and $C_t$ are independent variables. The values of Mand a' are calculated from the coefficients of $\phi_t$ and $C_t$; and total mortality coefficient (Z), where Z is a'X+M. By substituting M, a', $Z_t$, and $Z_{t+1}$ to the equation (1) recruitment $(R_{t+1})$ can be calculated. In this precess $\phi$ can be substituted by index of stock in number (N'). This operational procedures of the method of multiple regression can be applicable to the data which satisfy the above assumptions, even though the data were collected from any chosen year with similar recruitments, though it were not collected from the consecutive years. Under the condition of varying effort the data with such variation can be treated effectively by this method. The calculated values of M and a' include some deviation from the population parameters. Therefore, the estimated recruitment (R) is a relative value instead of all absolute one. This method of multiple regression is also applicable to the stock density and yield in weight instead of in number. For the data of the bigeye tuna of the Indian Ocean, the values of estimated recruitment (R) calculated from the parameter which is obtained by the present multiple regression method is proportional with an identical fluctuation pattern to the values of those derived from the parameters M and a', which were calculated by Suda (1970) for the same data. Estimated recruitments of Pacific saury of the eastern coast of Korea were calculated by the present multiple regression method. Not only spring recruitment $(1965\~1974)$ but also fall recruitment $(1964\~1973)$ was found to fluctuate in accordance with the fluctuations of stock densities (CPUE) of the same spring and fall, respectively.