• Nuclear Engineering and Technology
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• v.19 no.3
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• pp.169-179
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• 1987

The change of material J-R (J-T) curve with crack extension and J-calculation method was investigated to give experimental and analytical method for reliable J-R (J-T) curve, which was adapted recently as a tool for instability analysis of Nuclear Pressure Vessel. Experiments were carried out by Single Specimen Unloading Compliance Method using 1/2"T, Compact-Tension Type fracture mechanic specimens which were the same size and material as domestic nuclear pressure vessel material surveillance specimens. The results revealed that crack extension up to 25~30% of initial uncracked ligament and JD (Deformation theory J) calculation method, currently being used in NUREG-0744, could give rather reliable material J-R (J-T) curve than the small crack extension and JM (Modified J) calculation method. But as JM results more or less higher J at instability, the application of JM should be considered regarding to the problem of power plant availability.lity.

• Bulletin of the Korean Mathematical Society
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• v.59 no.1
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• pp.45-72
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• 2022

In this work, we study Bernstein-Walsh-type estimations for the derivative of an arbitrary algebraic polynomial in regions with piecewise smooth boundary without cusps of the complex plane. Also, estimates are given on the whole complex plane.

• Journal of Technology Innovation
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• v.2 no.1
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• pp.219-241
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• 1994

This paper presents the results of an empirical study on the relationship between the type of new product idea sources and the rate of success of new product development and commercialization in Korean industries. The sample was taken from various Korean industries including telecommunication, electronics, chemical, machinery, textile, etc. and composed of 45 failure and 73 success cases. The findings are not much different from those of previous studies done in the developed countries, but show some typical characteristics of new product development activities and the idea sources, information acquisition methods, type of information , incentives for idea generation, etc. of the firms in developing country like Korea. Especially the survival rate curve and the accumulative investment curve from the idea generation to commercialization phase show a little different behavior from the previous study, which also reflect the manpower, duration of each phase of the new product development process in the Korean firms.

• Journal of Korean Society of Transportation
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• v.13 no.1
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• pp.63-82
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• 1995

This paper deals with the forecasting model for traffic accident. Its objective is to develop the appropriate model to project the accident of Chung-Chong Region. Two types of models between motorization (M) and personal hazard (P) are tested : One is inverted-U (bell type) curve and the other is increasing (or decreasing) curve. The statiscal and sensitivity analyses show that exponential model (type III) and multiplicative model (type II) are well fit to the given cross-sectional and time-series accident data. The model projects that the fatality per 100, 000 persons of Chung-Chong region, when the motorization level (M) is 0.2, would be in the range between 18 and 77 persons. The paper concludes that the accident level is the function of motorization and the result of implementing the safety policy of a region.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.11
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• pp.1426-1437
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• 2004

The study has an objective of providing the basic data for the bodice basic pattern that is highly appropriate after classifying the torso shapes of women in 60s. In order to classify the torso shape, 200 women in 60s that reside in Seoul were investigated for 52 tests. The factor analysis produced total of 6 factors. Factor 1 tended to be posture of upper part of torso and shape of shoulder. Factor 2 was an element of silhouette and Factor 3 was vertical size of lower part of torso and side silhouette. Factor 4 showed to be width and thickness of torso, Factor 5 was shape of neck, and Factor 6 appeared to be sagging of belly and buttocks. Therefore, it can be known that posture, silhouette, shape of neck and shoulder, sagging of belly and buttocks, and etc. are important factors for classification of the torso shape of women in 60s. Through a cluster analysis, each torso shape was classified into 4 types and each type showed information on size, shape, and posture clearly. Type 1 showed percentage of 24.2%, and values of height and weight showed to be average. Also, the body shape hardly had any curve with high shoulder at the Posture of upper body, and they had saggy stomach and buttocks. 43.5% of them were involved in Type 2 and they were short and overweighted. They were comparatively large in width compared to the height with no curves. Type 2 had the largest percentage and this can be said to be the special shape of women in 60s. People of Type 3 were short and overweighted just like Type 2 and all the sizes were similar to those of Type 2 or bigger. The posture is right posture and 21.7％ fall into this type and there is no body curve. This type is the shortest and most overweighted type, and it is a torso shape with right posture just like Type 4. Type 4 is a torso shape with tallest height and least weight. The percentage was the smallest(10.6％) and the width was smaller than any other type but the height was the tallest. The body curve is very clear and they have thin body but big buttocks so it can be said that the people of this type have the best silhouette. Type 2 that had the highest percentile is short and overweighted so it can be said that Type 2 is the representative torso shape of women in 60s.

• Journal of Korean Society on Water Environment
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• v.24 no.1
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• pp.1-6
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• 2008

Biological and chemical sensors are the two most frequently used sensors to monitor the water resource. Chemical sensor is very accurate to pick up the types and to measure the concentration of the chemical substance. Drawback is that it works for just one type of chemical substance. Therefore a lot of expensive monitoring system needs to be installed to determine the safeness of the water, which costs too much expense. Biological sensor, on the contrary, can judge the degree of pollution of the water with just one monitoring system. However, it is not easy to figure out the type of contaminant with a biological sensor. In this study, an endeavor is made to identify the toxicant in the water using the shape of the chlorophyll fluorescence induction curve (FIC) from a biological monitoring system. Wem-tox values are calculated from the amount of flourescence of contaminated and reference water. Curve fitting is executed to find the representative curve of the raw data of Wem-tox values. Then the curves are digitalized at the same interval to train the neural network model. Taguchi method is used to optimize the neural network model parameters. The optimized model shows a good capacity to figure out the toxicant from FIC.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.85.4-85.4
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• 2019

Supernovae (SNe) are well known as good cosmological distance probes owing to their brightness and well-characterized light curve property. Specifically, type Ia SNe have contributed greatly to our understanding of acceleration of cosmic expansion. However, type IIP supernovae occur most frequently (~ 40% of all) at low and high redshift. As knowledge on the type IIP SNe increases, distance measurement methods using type IIP SNe have evolved. In this study, we apply Photometric Color Method (PCM), which needs only photometric data using properties of plateau on type IIP SNe light curves, to measure distances of several host galaxies of SNe IIP from the Intensive Monitoring Survey of Nearby Galaxies (IMSNG). The daily monitoring of galaxies at < 50 Mpc allows us to construct a dense light curve of SNe that occurred in our target galaxies. We observed two SNe IIP, SN2014cx and SN2017eaw and measured distances to their host galaxies, NGC 337 and NGC6946 respectively. Our results are comparable with other secondary distance measurement methods, 4-5 Mpc, however smaller than the result derived from the Tip of Red Giant Branch (TRGB) method, $6.7{\pm}0.2$ and $7.7{\pm}0.3Mpc$.

• Journal of the Korean Chemical Society
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• v.6 no.2
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• pp.104-107
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• 1962

It is thought that the adsorption isotherms in dyeing of cellulose by the direct cotton dyes are consisted of combined type of Langmuir and Freundlich as the opinion of Fujino, et al;$[D]_F=ab[D]_S/(1+b[D]_S)+k[D]_S$where a,b,k; constants, $[D]_F$; dye adsorption on the fiber, $[D]_S$; dye concentration in the bath. This means that the dyes adsorbed in cellulose present in the state of partly mono molecular and partly aggregate; the characteristic fading order curve will be expressed as the combined system of uniform particle size distribution and assumed that the slope of the theoretical models of Baxter, et al., and assumed that the slope of curve will be changed near the point of a, the saturation value of Langmuir isotherms in the above equation. Firstly, the theoretical fading rate curve was treated with small colour difference as the one step of experimental of above consideration.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.27 no.1
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• pp.84-86
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• 1982

The experiment was conducted with three varieties (Hicks, Burley 21, and Sohyang) and cultivation type (Improved mulching, general mulching, and non mulching) of NC 2326 to model to curve of tabacco growth against time. The basic growth data were obtained by harvest method at intervals of ten days from transplanting at 7-8 times and analyzed by polynomial regression, orthogonal polynomial, and logarithmic transformation. It is shown that the C model of growth curve: T = A +$\sqrt{(1.4 AK + K)}$2K provides an excellent fit.

• Geomechanics and Engineering
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• v.21 no.2
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• pp.179-186
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• 2020

Investigating damage potential of the railway infrastructure requires either large amount of case histories or in-depth numerical analyses, or both for which large amounts of effort and time are necessary to accomplish thoroughly. Rather than performing comprehensive studies for each damage case, in this study we collect and analyze a case history of the high-speed railway system damaged by the 2004 M6.6 Niigata Chuetsu earthquake for the development of the seismic fragility curve. The development processes are: 1) slice the railway system as 200 m segments and assigned damage levels and intensity measures (IMs) to each segment; 2) calculate probability of damage for a given IM; 3) estimate fragility curves using the maximum likelihood estimation regression method. Among IMs considered for fragility curves, spectral acceleration at 3 second period has the most prediction power for the probability of damage occurrence. Also, viaduct-type structure provides less scattered probability data points resulting in the best-fitted fragility curve, but for the tunnel-type structure data are poorly scattered for which fragility curve fitted is not meaningful. For validation purpose fragility curves developed are applied to the 2016 M7.0 Kumamoto earthquake case history by which another high-speed railway system was damaged. The number of actual damaged segments by the 2016 event is 25, and the number of equivalent damaged segments predicted using fragility curve is 22.21. Both numbers are very similar indicating that the developed fragility curve fits well to the Kumamoto region. Comparing with railway fragility curves from HAZUS, we found that HAZUS fragility curves are more conservative.