• Computers and Concrete
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• 제31권4호
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• pp.315-325
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• 2023

Calcium leaching is one of the main deterioration factors in concrete structures contact with water, such as dams, water treatment structures, and radioactive waste structures. It causes a porous microstructure and may be coupled with various harmful factors resulting in mechanical degradation of concrete. Several numerical modeling studies focused on the calcium leaching depth prediction. However, these required a lot of cost and time for many experiments and analyses. This study presents an artificial neural network (ANN) approach to predict the leaching depth quickly and accurately. Totally 132 experimental data are collected for model training and validation. An optimal ANN model was proposed by ANN topology. Results indicate that the model can be applied to estimate the calcium leaching depth, showing the determination coefficient of 0.91. It might be used as a simulation tool for engineering problems focused on durability.

• 공업화학전망
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• 제22권4호
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• pp.1-12
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• 2019

최근 전 세계적으로 이상화탄소 배출규제에 대응하기 위해 신에너지를 동력원으로 하는 자동차에 관심이 증가하고 있다. 그중 이온 교환막 연료전지(PEMFC)는 내연기관을 대신에 자동차 동력원으로 많이 사용되어지고 있으며 양산화를 위한 노력을 전 세계적으로 하고 있다. 하지만 이러한 수소 자동차가 시장과 소비자의 요구 조건을 충족하기 위해서는 내구성을 개선하여야 한다. 현재 선진사들을 중심으로 수소 자동차의 내구성을 개선하기 위해 노력하지만, 대부분 실험적 방법으로 내구성의 분석 및 평가를 수행하고 있다. 하지만, 이러한 방법은 비용과 시간이 많이 들기 때문에 경제적이지 못하다. 본 기고문에서는 내구성에 영향을 받는 인자, 연료전지 시스템 내구성을 예측하고 평가할 수 있는 수소 자동차 내구성 모델 개발에 필요한 수식에 관한 연구, 그리고 내구성 개선을 위한 해석적 방법(simulation)에 관한 연구 동향을 소개하고자 한다.

• 대한공간정보학회지
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• 제25권1호
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• pp.55-61
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• 2017

2012년 시범 서비스를 시작한 한국형 공간정보 오픈플랫폼 브이월드는 전국의 2차원, 3차원 지도 및 행정정보를 손쉽게 활용할 수 있도록 다양한 서비스를 제공하고 있다. 그 중 3차원 지도 서비스는 건물 단위로 모델링 되어있어 모델 요청과 이를 화면에 그리는 드로우 콜(draw call)이 개별 건물 모델에 대해 필요하다. 이로 인해 발생하는 다수의 모델 요청과 드로우 콜이 central processing unit(CPU)와 graphic processing unit(GPU) 간의 전송 및 전환 과정에서 발생하는 대기 시간 증가를 야기해 3차원 지도 서비스의 성능이 감소한다. 본 논문에서는 다수의 모델 요청 및 드로우 콜로 인해 발생하는 3차원 지도 서비스의 성능 저하를 줄이기 위한 성능 개선안을 제안한다. 이를 위해, 단일 건물 모델이 아닌 여러 건물 모델을 타일로 병합한 3차원 타일 모델을 적용하여 모델 파일에 대한 요청수와 드로우 콜을 줄이고자 하였다. 추가적으로 쿼드트리(quadtree) 알고리즘을 적용하여 화면에 그릴 영역에 필요한 모델의 탐색 시간 감소를 통해 모델 파일을 불러오는 요청 시간을 줄이고자 하였다. 이는 브이월드의 3차원 지도 서비스의 성능을 향상에 기여할 것으로 예상된다.

• 대한환경공학회지
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• 제27권6호
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• pp.642-650
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• 2005

이 연구는 초음파에 의한 1,4-dioxane(1,4-D)의 제거효율의 증가를 위해 $Fe^0$, $Fe^{2+}$, 그리고 ${S_2O_8}^{2-}$와 같은 산화제의 효과를 조사하였다. 실험의 결과 초음파 반응은 속도론적으로 도입단계와 가속단계의 두 부분으로 구분될 수 있었고, 도입단계는 0차 속도 반응 모델, 가속단계는 유사일차 반응 속도 모델에 부합하였다. OH 라디칼의 scavenger인 ${HCO_3}^-$의 존재 하에 1,4-D와 TOC의 분해속도는 감소하였으며, 이는 OH 라디칼이 초음파 반응에서 중요한 요소이라는 것을 의미한다. 초음파 반응에서 반응시간 200분 동안 79.0%의 1,4-D의 감소된 반면에 $Fe^0$, $Fe^{2+}$, 그리고 ${S_2O_8}^{2-}$가 첨가제로 첨가된 경우는 같은 반응시간 동안 각각 18.6%, 19.1%, 그리고 16.5%의 1,4-D의 제거효율의 증가를 보였다. 또한 첨가제들의 투입으로 도입단계의 반응을 0차 반응에서 유사 일차 반응으로 변화시켰으며, 가속 단계에서의 반응 속도를 증가를 가져 왔다. 또한 초음파 반응에 산화제의 첨가에 의해 1,4-D의 무기화의 정도도 증가되었다. 그러나 첨가되는 산화제의 종류에 관계없이 반응속도의 증가는 별 차이를 보이지 않았다.

• 생명과학회지
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• 제28권4호
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• pp.483-487
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• 2018

사이퍼메트린은 피레스로이드 계열 살충제로서 오랫동안 농업과 가정에서 이용되어 왔으며 그들의 잔여 성분과 독성에 대한 경각심이 고취되고 있다. 부산 인근의 해안에서 분리된 Cellulophaga lytica DAU203 균주가 사이퍼메트린의 생물학적 분해 활성을 나타내었다. DAU203 균주는 최소 배지에서 유일 탄소원으로 사이퍼메트린을 첨가하였을 때, 이를 분해하여 탄소원으로 활용 하였다. 반응표면분석법을 통하여 DAU203 균주의 사이퍼메트린 분해를 위한 최적 조건을 탐색하였다. 온도, pH와 yeast extract 첨가 농도와 같은 인자가 분해 활성에 영향을 미치는 것으로 분석 되었고, 각각의 최적 값은 $33.4^{\circ}C$, pH 7.7와 2.4%(w/v)이다. 최적 조건에서 DAU203 균주는 5일 동안 대략 83.7%의 사이퍼메트린을 분해하였다. 본 연구는 미생물 중에서 잘 연구되지 않은 해양 미생물에 대한 활용 가능성을 증가시켰다고 판단된다.

• Asian-Australasian Journal of Animal Sciences
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• 제22권4호
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• pp.534-541
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• 2009

The aim of this study was to evaluate the effects of gamma irradiation (${\gamma}$-irradiation) at doses of 15, 30 and 45 kGy on chemical composition, anti-nutritional factors, ruminal dry matter (DM) and crude protein (CP) degradibility, in vitro CP digestibility and to monitor the fate of true proteins of full-fat soybean (SB) in the rumen. Nylon bags of untreated or ${\gamma}$-irradiated SB were suspended in the rumens of three ruminally-fistulated bulls for up to 48 h and resulting data were fitted to a nonlinear degradation model to calculate degradation parameters of DM and CP. Proteins of untreated and treated SB bag residues were fractionated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Digestibility of rumen undegraded CP was estimated using the three-step in vitro procedure. The chemical composition of raw and irradiated soybeans was similar. Results showed that phytic acid in ${\gamma}$-irradiated SB at dose of 30 kGy was eliminated completely. The trypsin inhibitor activity of 15, 30 and 45 kGy ${\gamma}$-irradiated SB was decreased (p<0.01) by 18.4, 55.5 and 63.5%, respectively. From in sacco results, ${\gamma}$-irradiation decreased (p<0.05) the washout fractions of DM and CP at doses of 30 and 45 kGy, but increased (p<0.05) the potentially degradable fractions. Gamma irradiation at doses of 15, 30 and 45 kGy decreased (p<0.05) effective degradability of CP at a rumen outflow rate of 0.05 $h^{-1}$ by 4.4, 14.4 and 26.5%, respectively. On the contrary, digestibility of ruminally undegraded CP of irradiated SB at doses of 30 and 45 kGy was improved (p<0.05) by 12 and 28%, respectively. Electrophoretic analysis of untreated soybean proteins incubated in the rumen revealed that ${\beta}$-conglycinin subunits had disappeared at 2 h of incubation time, whereas the subunits of glycinin were more resistant to degradation until 16 h of incubation. From the SDS-PAGE patterns, acidic subunits of 15, 30 and 45 kGy ${\gamma}$-irradiated SB disappeared after 8, 8 and 16 h of incubation, respectively, while the basic subunits of glycinin were not degraded completely until 24, 48 and 48 h of incubation, respectively. It was concluded that ${\gamma}$-irradiated soybean proteins at doses higher than 15 kGy could be effectively protected from ruminal degradation.

• Computers and Concrete
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• 제7권4호
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• pp.365-386
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• 2010

This paper presents the physical formulation of a 1D material model suitable for seismic applications. It is written within the framework of thermodynamics with internal variables that is, especially, very efficient for the phenomenological representation of material behaviors at macroscale: those of the representative elementary volume. The model can reproduce the main characteristics observed for concrete, that is nonsymetric loading rate-dependent (viscoelasticity) behavior with appearance of permanent deformations and local hysteresis (continuum plasticity), stiffness degradation (continuum damage), cracking due to displacement localization (discrete plasticity or damage). The parameters have a clear physical meaning and can thus be easily identified. Although this point is not detailed in the paper, this material model is developed to be implemented in a finite element computer program. Therefore, for the benefit of the robustness of the numerical implementation, (i) linear state equations (no local iteration required) are defined whenever possible and (ii) the conditions in which the presented model can enter the generalized standard materials class - whose elements benefit from good global and local stability properties - are clearly established. To illustrate the capabilities of this model - among them for Earthquake Engineering applications - results of some numerical applications are presented.

• Computers and Concrete
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• 제8권3호
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• pp.343-355
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• 2011

This paper presented the model to predict the chloride diffusion coefficient in tension zone of plain concrete under flexural cyclic load. The fictitious crack based analytical model was used together with the stress degradation law in cracked zone to predict crack growth of plain concrete beams under flexural cyclic load. Then, under cyclic load, the chloride diffusion, in the steady state and one dimensional regime, through the tension zone of the plain concrete beam, in which microcracks were formed by a large number of cycles, was simulated with assumptions of continuously straight crack and uniform-size crack. The numerical analysis in terms of the chloride diffusion coefficient, $D_{tot}$, normalized $D_{tot}$, crack width and crack length was issued as a function of the load cycle, N, and load level, SR. The nonlinear model as regarding with the chloride diffusion coefficient in tension zone and the load level was proposed. According to this model, the chloride diffusion increases with increasing load level. The predictions using model fit well with experimental data when we adopted suitable crack density and tortuosity parameter.

• 생명과학회지
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• 제5권2호
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• pp.70-75
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• 1995

The effect of lipoxygenase (LOX) on the oxidation and co-oxidation of lipid fraction was studied in the model system of rainbow trout. For the reaction in model system 1 g of lipid fraction and 50mL of enzyme extract(LOX, 140 unit in 50mL phosphate buffer solution at pH 7, 4)), which were obtained from rainbow trout, were homoginized in the presence of Tween 20 and kept at 23$\circ$C for 3 days. The activity of LOX was decreased to 43% of initial level during the reaction in the model system. The initial composition of rainbow trout lipid was showed to be consisted of trigliceride(TG;82%) and free fatty acid(FFA;0.1%), while this converted to 59% of TG and 20% of FIFA, respectively after reaction in model system. Change of fatty acid composition was also observed and the content of linoleic acid, one of the major fatte acids, was decreased to 13% from 54% in the content of total fatty acids after reaction. The carotenoids in rainbow trout were composed of 0.4% $\alpha$-carotene, 1.6% $\beta$ -carotene, 80% canthaxanthin, 7% lutein and 11% zeaxanthin, thus the canthaxanthin was the major component. This canthaxanthin was the most degraded carotenoid by lipoxygenase catalyzed co-oxidation during the reaction. On the other hand the tocopherol isomers found in the rainbow trout were $\alpha$ and $\beta$ -tocopherol, and $\alpha$-tocopherol had a higher degradation rate by the lipoxygenase catalyzed co-oxidation than of $\beta$-tocopherol in the reaction of model system.

• ETRI Journal
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• 제41권6호
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• pp.771-781
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• 2019

We propose the VS³-NET model to solve the task of question answering questions with machine-reading comprehension that searches for an appropriate answer in a given context. VS³-NET is a model that trains latent variables for each question using variational inferences based on a model of a simple recurrent unit-based sentences and self-matching networks. The types of questions vary, and the answers depend on the type of question. To perform efficient inference and learning, we introduce neural question-type models to approximate the prior and posterior distributions of the latent variables, and we use these approximated distributions to optimize a reparameterized variational lower bound. The context given in machine-reading comprehension usually comprises several sentences, leading to performance degradation caused by context length. Therefore, we model a hierarchical structure using sentence encoding, in which as the context becomes longer, the performance degrades. Experimental results show that the proposed VS³-NET model has an exact-match score of 76.8% and an F1 score of 84.5% on the SQuAD test set.