• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.1
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• pp.58-66
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• 2022

In this study, to examine the effect of the transverse thermal expansion behavior of FRP reinforcing bars and concrete on the concrete cover thickness, based on 20℃, when the temperature changes from -70℃ to 80℃, the behavior of concrete was studied theoretically and numerically. Theoretical elastic analysis and nonlinear finite element analysis were performed on FRP reinforced concrete with different diameters and cover thicknesses of FRP reinforcement. As a result, at a negative temperature difference, concrete was compressed, and the theoretical strain result and the finite element result were similar, but at a positive temperature difference, tensile stress and further cracks occurred in the concrete, which was 1.2 to 1.4 times larger than the theoretical result. The ratio of the diameter of the FRP reinforcing bar to the thickness of the concrete cover (c/db) is closely related to the occurrence of cracks. Since the transverse thermal expansion coefficient of FRP reinforcing bars is three times greater than that of concrete, it is necessary to consider this in design.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.13-23
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• 2022

In this study, from January 2015 to April 2020, we propose a stochastic volatility model to capture the leverage effect on daily freight yields in the dry cargo market and analyze the freight yields. Estimation involving the Bayesian Markov Chain Monte Carlo method for the leverage effect based on the negative correlation that exists between returns and volatility in stochastic volatility analysis yields similar estimates, and the statistcs indicates significant. That is, the results of the empirical analysis show that the degree of correlation between returns and volatility, and the magnitude and sign of fluctuations differ, which suggests that taking into account the leverage effect in the SV model improves the goodness of fit of the estimates. In addition to the statistical significance of the estimated model's leverage effect, the analysis by log predictive power score presents the estimated results with improved predictive power of the model considering the leveraged effect. These astatistically significant empirical results show that the stochastic volatility model considering the leverage effect is important for freight rate risk modeling in the marine industry.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.225-225
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• 2020

최근 국내·외에서는 재래식 소류사량 채집기를 이용한 직접계측방법의 한계를 보완하기 위해 음향센서(하이드로폰)를 활용하여 소류사가 이동할 때 발생하는 충돌음 신호로부터 소류사량을 간접적으로 추정하는 방법이 개발 검토되고 있다. 이러한 방법은 하이드로폰에 계측된 음향신호의 특성 중 음향 펄스 수와 소류사량의 상관성을 해명하는 연구가 주를 이루고 있다. 그러나 기존의 펄스 카운트 알고리즘은 원시신호에 대한 불충분한 노이즈 필터링 작업과 음향특성 중 진폭만을 고려하여 임계치를 설정하였기 때문에 운송되는 소류사량이 많을 경우 신호 파형의 중첩으로 인한 펄스 수의 과소평가, 감지 가능한 상한 입자 크기가 제한되는 등의 결점을 가지고 있다. 또한 대다수의 연구가 소류사량의 총량과 시계열적인 변화를 추정하는데 주안점을 두고 있어 소류사량의 입도분포를 추정하기 위한 연구사례는 매우 부족한 실정에 있다. 따라서 본 연구에서는 위와 같은 한계를 극복하기 위해 다양한 입경과 유속 조건을 고려한 단독입자 공급 실험을 통해 하이드로폰에서 계측되는 소류사 입경별 충돌음의 진폭과 특정 주파수대역을 기준으로 음향특성치를 효과적으로 필터링 할 수 있는 개선된 Band-Passs Method 방법을 제안하였다. 제안된 방법의 검증을 위해 기존의 음향신호 필터링 방법(증폭 채널 방법, 임계치 설정 방법)과 비교·분석을 수행한 결과 제안한 방법이 기존의 필터링 방법보다 높은 소류사량 추정률을 보이는 것으로 나타났다. 아울러 단일입경 연속공급 실험을 수행하여 입경별 소류사량 추정관계식을 산출하고 혼합입경의 입도분포 추정 가능성을 확인하였다. 연구수행의 최종단계로 혼합입경 소류사량 추정이 가능한 입경별 통합 소류사량 추정 알고리즘을 개발하고 실측 소류사량과의 비교·분석을 통해 알고리즘의 소류사량 추정 정밀도를 검증하였다.

• Clinical and Experimental Pediatrics
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• v.48 no.5
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• pp.481-487
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• 2005

Purpose : Adiponectin, adipose tissue-specific protein, has anti-inflammatory and anti-atherogenic properties. It has been found to have a negative correlation with obesity and to play a role in modulating glucose tolerance and insulin sensitivity. Serum adiponectin concentrations are decreased in adults with obesity and type 2 diabetes. We investigated the difference in adiponectin levels between obese and non-obese children, and evaluated the relationship of serum adiponectin with body mass index(BMI), serum fasting insulin, lipid profiles and homeostasis model assessment(HOMA) in children. Methods : We measured serum adiponectin levels by radioimmunoassay in 113 children(82 obese children and 31 non-obese controls) from 8 to 15 years of age, and also checked BMI, fasting serum glucose, insulin and lipid profiles. Fasting and postprandial serum adiponectin concentrations were compared by oral glucose tolerance tests in 27 obese children. The correlations of adiponectin with BMI, insulin, low density lipoprotein(LDL)-cholesterol and HOMA were analyzed by Pearson's correlation. Results : The serum adiponectin levels were significantly lower in the obese group(19.7 mg/mL) than in the non-obese group(27.5 mg/mL)(P<0.01). Serum adiponectin concentrations were negatively correlated with BMI(r=-0.39, P<0.01), serum insulin(r=-0.28, P<0.01), LDL-C(r=-0.20, P<0.01) and HOMA(r=-0.22, P<0.01). At oral glucose tolerance tests in obese children, postprandial 2 hours adiponectin level(19.8 mg/mL) was decreased compared to fasting level(25.8 mg/mL)(P<0.01). Conclusion : Serum adiponectin concentrations were inversely related to adiposity and insulin resistance in children. We suggest the serum adiponectin level could be used as an early marker of insulin resistance in obese children.

• Korean Business Review
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• v.11
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• pp.241-253
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• 1998

One form of the anomalies of stock price changes as reaction to earnings information is believed to be caused by the so-called earnings fixation, which is the overreaction of stock prices to earnings. According to the Sloan (1996) study, stock price changes are positively associated with earnings at the time of earnings releases, but the association becomes negative after that, as the early overreaction is corrected. However, the problem in his study is to use cash flows computed by adjusting earnings with appropriate income statement and balance sheet items. As Bahnson et al. (1996) show, these cash flows substantially deviate from SFAS No. 95 cash flows and the sample used in this study is found to be subject to this substantial measurement error. Therefore, the result of Sloan might be driven by this error and the reexamination of earnings fixation is warranted. The results are generally consistent with those in Sloan. First, earnings is positively associated with stock price changes at the time of earnings releases, but the association becomes negative after that. Second, cash flows show a weak association with stock price changes at the time of earnings releases, but the association become stronger thereafter. Third, when seperated from cash flows, accruals have an incremental explanation about stock price changes beyond that of cash flows, accruals have a negative association later on. This finding is consistent with stock price overreaction to accruals, even when more cleaner cash flow data are used.

• Journal of Korea Water Resources Association
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• v.48 no.1
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• pp.57-67
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• 2015

One of main benefits of a dual polarization radar is improvement of quantitative rainfall estimation. In this paper, performance of two representative rainfall estimation methods for a dual polarization radar, JPOLE and CSU algorithms, have been compared by using data from a MOLIT S-band dual polarization radar. In addition, this paper presents evaluation of specific differential phase ($K_{dp}$) retrieval algorithm proposed by Lim et al. (2013). Current $K_{dp}$ retrieval methods are based on range filtering technique or regression analysis. However, these methods can result in underestimating peak $K_{dp}$ or negative values in convective regions, and fluctuated $K_{dp}$ in low rain rate regions. To resolve these problems, this study applied the $K_{dp}$ distribution method suggested by Lim et al. (2013) and evaluated by adopting new $K_{dp}$ to JPOLE and CSU algorithms. Data were obtained from the Mt. Biseul radar of MOLIT for two rainfall events in 2012. Results of evaluation showed improvement of the peak $K_{dp}$ and did not show fluctuation and negative $K_{dp}$ values. Also, in heavy rain (daily rainfall > 80 mm), accumulated daily rainfall using new $K_{dp}$ was closer to AWS observation data than that using legacy $K_{dp}$, but in light rain(daily rainfall < 80mm), improvement was insignificant, because $K_{dp}$ is used mostly in case of heavy rain rate of quantitative rainfall estimation algorithm.

• Korean Journal of Materials Research
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• v.6 no.7
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• pp.700-708
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• 1996

Electroless plating technique was utilized to flip chip bonding to improve surface mount characteristics. Each step of plating procedure was studied in terms pf pH, plating temperature and plating time. Al patterned 4 inch Si wafers were used as substrstes and zincate was used as an activation solution. Heat treatment was carried out for all the specimens in the temperature range from room temperature to $400^{\circ}C$ for $30^{\circ}C$ minutes in a vacuum furnace. Homogeneous distribution of Zn particles of size was obtained by the zincate treatment with pH 13 ~ 13.5, solution concentration of 15 ~ 25% at room temperature. The plating rates for both Ni-P and Au electroless plating steps increased with increasing the plating temperature and pH. The main crystallization planes of the plated Au were found to be (111) a pH 7 and (200) and (111) at pH 9 independent of the annealing temperature.

• Korean Journal of Cognitive Science
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• v.3 no.1
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• pp.61-78
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• 1991

This paper descibes the study of application of a modified Neocognitron model with backward path for the recognition of Hangul(Korean) syllabic characters. In this original report, Fukushima demonstrated that Neocognitron can recognize hand written numerical characters of $19{\times}19$ size. This version accepts $61{\times}61$ images of handwritten Hangul syllabic characters or a part thereof with a mouse or with a scanner. It consists of an input layer and 3 pairs of Uc layers. The last Uc layer of this version, recognition layer, consists of 24 planes of $5{\times}5$ cells which tell us the identity of a grapheme receiving attention at one time and its relative position in the input layer respectively. It has been trained 10 simple vowel graphemes and 14 simple consonant graphemes and their spatial features. Some patterns which are not easily trained have been trained more extrensively. The trained nerwork which can classify indivisual graphemes with possible deformation, noise, size variance, transformation or retation wre then used to recongnize Korean syllabic characters using its selective attention mechanism for image segmentation task within a syllabic characters. On initial sample tests on input characters our model could recognize correctly up to 79%of the various test patterns of handwritten Korean syllabic charactes. The results of this study indeed show Neocognitron as a powerful model to reconginze deformed handwritten charavters with big size characters set via segmenting its input images as recognizable parts. The same approach may be applied to the recogition of chinese characters, which are much complex both in its structures and its graphemes. But processing time appears to be the bottleneck before it can be implemented. Special hardware such as neural chip appear to be an essestial prerquisite for the practical use of the model. Further work is required before enabling the model to recognize Korean syllabic characters consisting of complex vowels and complex consonants. Correct recognition of the neighboring area between two simple graphemes would become more critical for this task.

• Resources Recycling
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• v.23 no.6
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• pp.22-29
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• 2014

Recycling process of iron should be developed for efficient recovery of neodymium (Nd), rare metal, from acid-leaching solution of Nd magnet. In this study, $FeCl_3$ solution as iron source was used for preparation of iron nano particles with the condition of various factors, such as, reductant, and surfactant. $Na_4P_2O_7$ and Polyvinylpyrrolidone (PVP) as surfactants, $NaBH_4$ as reductant, and palladium chloride ($PdCl_2$) as a nucleation seed were used. Iron powder was analyzed by using XRD, SEM for measuring shape and size. Iron nano particles were prepared at the ratio of 1:5 (Fe (III) : $NaBH_4$). Size and shape of iron particles were round-form and 50 ~ 100 nm size. Zeta-potential of iron at the 100 mg/L of $Na_4P_2O_7$ was negative value, which was good for dispersion of metal particle. When $Na_4P_2O_7$ (100 mg/L), PVP($FeCl_3:PVP$ = 1 : 4, w/w) and Pd($FeCl_3:PdCl_2$ = 1 : 0.001, w/w) were used, iron nano particles which were round-shape, well-dispersed and near 100 nm-sized range. In this condition, $FeCl_3$ solution changed with spent Nd leachate solution, and then it is possible to be made round-formed iron nano particles at pH 9 and at the reaction bath over 20 L which is not include any surfactant.

• Journal of the Korean Wood Science and Technology
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• v.48 no.2
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• pp.181-195
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• 2020

Characteristics of carbonized biomass obtained from a Wood charcoal briquette manufacturing process using an open hearth kiln are analyzed in this research, and differences in the characteristics based on the results of a mechanical screening process and the position within the kiln. One type of biomass and five types of carbonized biomass were collected from a Wood charcoal briquette manufacturer. After screening and grinding processes were performed on samples of 1 type of biomass and 5 types of carbonized biomass extracted from a Wood charcoal briquettes manufacturer to classify by particle size, fixed carbon, ash, volatile matters, elemental composition, and high heating value (HHV) were measured. Experimental results showed that the carbonized biomass collected from the middle layer had the highest HHV, 20.4 MJ/kg, and therefore had the highest fuel quality. In terms of particle size, the carbonized biomass below 100 mesh had the lowest ash content and the highest HHV, carbon content, and fixed carbon content. Correlation analyses showed that ash content had negative correlations with HHV, volatile matters, fixed carbon, and carbon content, which suggested that ash content affected negatively on fuel quality.