• 생약학회지
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• 제47권2호
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• pp.172-178
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• 2016

Using high-fat diet-induced obese (DIO) mice, the mechanism of anti-adiposity and anti-obesity actions produced by Inonotus obliquus water extract (IOE) was investigated. Significant reduction in body weight in DIO mice orally administrated with IOE for 8 weeks compared to IOE-non-treated control mice was observed, which was attributed to the reduction of epididymal and mesenteric adipose tissue, but not the liver and skeletal muscle. Adiponectin synthesis in epididymal adipose tissue (EAT) and AMPK phosphorylation in the liver were significantly increased in IOE-treated DIO mice. Gene expression analysis showed that IOE-treated DIO mice had higher expression levels of lipogenic genes in EAT and fatty-acid oxidative genes in the liver, but lower expression levels of hepatic pro-inflammatory cytokines compared to IOE-non-treated controls. Our findings confirm a therapeutic potential of Inonotus obliquus for reducing adiposity and ameliorating hyperlipidemia to treat metabolic disorders.

• 한국항해항만학회지
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• 제34권3호
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• pp.189-194
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• 2010

최근 지구 환경 문제의 심각성이 대두되면서, 전과정 평가(Life Cycle Assessment)에 대한 선박 적용 연구가 조금씩 진행되고 있다. 본 논문에서는 선박 LCA 연구의 일환으로 선박 배기 가스 분석을 수행하였다. 이를 위하여 화물선에 대한 온실 배기 가스 배출 분석을 수행하였다. 대상 선박은 벌크선박과 유조선 등 2척을 모델로 삼았으며 과거 수년간의 실적 데이터를 분석하여 운항인벤토리 중 온실 배출가스의 정략적 데이터를 분석하였다. 이 분석을 통하여 화물선 운송 시 화물 1톤을 1마일 수송하는데 배출되는 배기 가스량의 분석을 시도하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4326-4344
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• 2021

The SinGAN is one of generative adversarial networks that can be trained on a single nature image. It has poor ability to learn more global features from nature image, and losses much local detail information when it generates arbitrary size image sample. To solve the problem, a non-linear function is firstly proposed to control downsampling ratio that is ratio between the size of current image and the size of next downsampled image, to increase the ratio with increase of the number of downsampling. This makes the low-resolution images obtained by downsampling have higher proportion in all downsampled images. The low-resolution images usually contain much global information. Therefore, it can help the model to learn more global feature information from downsampled images. Secondly, the attention mechanism is introduced to the generative network to increase the weight of effective image information. This can make the network learn more local details. Besides, in order to make the output image more natural, the TVLoss function is introduced to the loss function of SinGAN, to reduce the difference between adjacent pixels and smear phenomenon for the output image. A large number of experimental results show that our proposed model has better performance than other methods in generating random samples with fixed size and arbitrary size, image harmonization and editing.

• Structural Engineering and Mechanics
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• 제66권4호
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• pp.543-555
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• 2018

Fiber Reinforced Polymer (FRP), which has a high strength to weight ratio, are now regularly used for strengthening of deficient reinforced concrete (RC) structures. While various researches have been conducted on FRP strengthening, an area that still requires attention is predicting the debonding failure load of prestressed FRP strengthened RC beams. Application of prestressing increases the capacity and reduces the premature failure of the beams largely, though not entirely. Few analytical methods are available to predict the failure loads under flexure failure. With this paucity, this research proposes a method for predicting debonding failure induced by intermediate crack (IC) for prestressed FRP-strengthened beams. The method consists of a numerical study on beams retrofitted with prestressed FRP in the tension side of the beam. The method applies modified Branson moment-curvature analysis together with the global energy balance approach in combination with fracture mechanics criteria to predict failure load for complicated IC-induced failure. The numerically simulated results were compared with published experimental data and the average of theoretical to experimental debonding failure load is found to be 0.93 with a standard deviation of 0.09.

• Computers and Concrete
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• 제26권5호
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• pp.411-420
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• 2020

Deep Convolution neural network (DCNN) has been widely used in the healthy maintenance of civil infrastructure. Using DCNN to improve crack detection performance has attracted many researchers' attention. In this paper, a light-weight spatial attention network module is proposed to strengthen the representation capability of ResNet and improve the crack detection performance. It utilizes attention mechanism to strengthen the interested objects in global receptive field of ResNet convolution layers. Global average spatial information over all channels are used to construct an attention scalar. The scalar is combined with adaptive weighted sigmoid function to activate the output of each channel's feature maps. Salient objects in feature maps are refined by the attention scalar. The proposed spatial attention module is stacked in ResNet50 to detect crack. Experiments results show that the proposed module can got significant performance improvement in crack detection.

• Toxicological Research
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• 제22권4호
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• pp.323-328
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• 2006

Global gene expression profile was analyzed by microarray analysis of rat liver RNA after acute acetaminophen (APAP) administration. A single dose of 1g/kg body weight of APAP was given orally, and the liver samples were obtained after 24, 48 h, and 2 weeks. Histopathologic and biochemical studies enabled the classification of the APAP effect into injury (24 and 48 h) and regeneration (2 weeks) stages. The expression levels of 4900 clones on a custom rat gene microarray were analyzed and 484 clones were differentially expressed with more than a 1.625-fold difference(which equals 0.7 in log2 scale) at one or more time points. Two hundred ninety seven clones were classified as injury-specific clones, while 149 clones as regeneration-specific ones. Characteristic gene expression profiles could be associated with APAP-induced gene expression changes in lipid metabolism, stress response, and protein metabolism. We established a global gene expression profile utilizing microarray analysis in rat liver upon acute APAP administration with a full chronological profile that not only covers injury stage but also later point of regeneration stage.

• Structural Engineering and Mechanics
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• 제75권6호
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• pp.723-736
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• 2020

In this paper, acoustic emission (AE) and pattern recognition are utilized to identify the AE signal signatures caused by propagation of stress corrosion cracking (SCC) in a 304 stainless steel plate. The surface of the plate is under almost uniform tensile stress at a notch. A corrosive environment is provided by exposing the notch to a solution of 1% Potassium Tetrathionate by weight. The Global b-value indicated an occurrence of the first visible crack and damage stages during the SCC. Furthermore, a method based on linear regression has been developed for damage identification using AE data.

• 한국철도학회논문집
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• 제8권6호
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• pp.581-585
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• 2005

In this study, the environmental impacts of a bogie in the electric motor unit(EMU) were evaluated quantitatively using simplified life cycle assessment(S_LCA). Target was the bogie and life cycle inventory(LCI) database for the bogie was established. The software used for simplified LCA was PASS. Environmental impacts with the parts of the bogie were dependent on their weight significantly. Among impact categories, abiotic resource depletion(ARD) and global warming(GW) were shown dominantly. Global warming was occurred mainly due to the emission of CO₂released from energy consumption and abiotic resource depletion was caused mostly by the consumption of iron ore for the manufacturing of steel. Therefore, the environmental impacts of the bogie could be reduced by the light-weighting of EMU and the improvement of energy efficiency.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 한국컴퓨터종합학술대회 논문집 Vol.32 No.1 (B)
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• pp.691-693
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• 2005

본 연구에서는 FMM 신경망의 학습 알고리즘에서 하이퍼박스 확장과정에 수반되는 중첩현상을 분석하고, 이에 대한 축소 과정의 특성과 이를 보완하기 위한 새로운 활성화 함수에 관하여 고찰한다. 하이퍼박스 중첩 영역에 속하는 패턴 데이터는 그 분류 결과가 왜곡될 수 있다. 왜냐하면 학습과정에서 하이퍼박스상의 특징범위는 특징값의 빈도요소를 고려하지 않음으로 인하여 극소수의 비정상적 데이터에 관해서도 동일 수준으로 민감하게 확장되기 때문이다. 본 논문에서는 특징집합에서 가중치와 빈도요소를 반영하는 모델로서 이러한 중첩현상의 영향을 개선하는 방법론을 소개한다. 제안된 이론은 단순화된 패턴집합에 대하여 그 유용성을 이론적으로 고찰하며, 실제 패턴분류 문제에 적용하여 실험적으로 평가한다.

• 생약학회지
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• 제39권4호
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• pp.310-315
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• 2008

Viscum album coloratum (Korean mistletoe; KM) is a semi-parasitic plant growing on various trees. This plant hasbeen shown to possess a variety of biological functions such as immunomodulation, apoptosis-induction and antitumor activity. However, there is no information about how the extract of KM affects life span of the host. In this study, in order to examine the effect of KM on the longevity of the host, we investigated whether a Korean mistletoe extract (KME) was able to extend the life length in an experimental model using the spring silkworm moth of Bombyx mori (Lepidoptera bombycidae). We established a model test for survival in which all of the male and female moths died within 18 days after the beginning of the experiment. Mean survival time of female moths was longer than that of male moths. Both male and female moths fed with KME containing diet (200 or 400 ${\mu}g$/head/day) showed significantly higher mean survival times than those of the control moths. Studying the effect of KME on prolongation of mean survival time showed that male moths were more susceptible than female moths. The moths fed with KME-containing diet showed a slight decrease in body weight. Interestingly, however, no difference in food intake was observed between moths fed with KME-containing diet and those with control diet. In analysis for mRNA increase in the SIRT2 gene, a member of the Sir2 gene family playing important roles in regulation of cell death and prolongation of life span, moths fed with KME-containing diet showed a significant increase in SIRT2 gene expression. These results suggest that KME has a potential to extend the life span in Bombyx mori, and its effect is partly associated with increase in SIRT2 gene expression.