• Journal of Korean Classical Literature and Education
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• no.37
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• pp.111-149
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• 2018

This story is written by Shin Kwang-han who is a famous scholar and writer in Josun Dynasty. The most notable feature of this story is the love between a man and a dead woman. The protagonist has failed the test to be a national official for several years, because of the corruption and unfairness of the leaders of his society. He is very upset, but then changes his mind in order to become an officer. One day he meets a dead woman. He saves her life from death, and falls in love with her. Finally he marries her and attains a high position. Till now, all the aspects of this story have been extensively researched from a number of different perspectives. However the narrative structure of this story has not been discussed much. This story belongs to Jungi-novel, a kind of old story style which includes fantasy. The studies on this story have mostly been carried out to find the different features in comparison with other works of the same style. Further, we could not understand its own specific meaning structure. This study aims to find the narrative structure of this story. It was recognized by researchers that Shin's stories talk about his life and his perspective of the world. Further, I will try to show how he expresses his thoughts, emotion and life through this story. First, to obtain a satisfactory result through this study, I will find a way to resolve several problems that have become the center of the controversy. Afterward, the conflict and resolution the hero's relation to the world will be identified in every paragraph. Through these efforts, we will have a new point of the view about the narrative structure of this story and the intent expressed by the writer through its structure.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2003.04a
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• pp.98-98
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• 2003

무순에는 비타민 C가 많이 들어 있어 겨울철 비타민 공급원뿐만 아니라 디아스타제라는 효소가 들어 있어 소화를 촉진시키는 역할을 한다. 그 외에도 거담제 및 건위제 작용을 하고 음주로 인한 토혈해소, 천식에도 좋아 약용하기도 한다. 본 연구에서는 이용가치는 적지만 농가 소득증대에 기여 할 수 있으며 소화를 촉진시키는 무순, 또는 무싹기름이라고 일컬어지는 무순을 추출용매에 따라 생리활성 효과 분석하고 영양학적 가치가 가장 높은 시기의 무순을 선택함으로써 올바른 섭취의 기초자료를 마련하고 그 기능성을 확인하여 기능성 식품소재 및 기능성 화장품 소재로써의 활용을 검토하고자 하고자 한다. 무순을 4일, 8일, 12일에 따라 incubator에 배양하여 시기별로 채취하여 동결건조 한 후 70% Ethanol, 80% Methanol, 75% acetone, 열수로 환류 추출한 후 시료로 사용하였다. 각 용매 추출물에 대해 DPPH free radical 소거능 실험에서는 acetone 추출물에서 89.18%로 가장 높은 전자공여능을 나타냈으며 각각의 추출용매에서 성장 4일과 12일의 무순에서 높은 전자공여능을 보였다. 아질산염 소거능에서는 pH 1.2의 조건에서 가장 높은 아질산염 소거능을 보였고, 열수 추출물에서 89.70%로 가장 높은 소거능을 보였다. pH 4.2조건에서는 열수추출물의 소거능이 가장 좋았고, pH 6.0 조건에서는 가장 낮은 소거능을 보였으며, Ethanol 과 Methanol 추출물에서 23.55∼37.41%의 소거능을 보였다. SOD유사활성은 성장 8일에서 모두 낮은 활성을 보였으며, 성장 4일과 성장 12일의 무순에서는 큰 차이를 보이지 않았지만, Methanol 추출물중 성장 12일에서 27.41%의 SOD유사활성을 보였다.ic acid는 28.8∼51.7 mg%, 미강에서 321.4∼438.4 mg% 범위로 나타났다. 현미, 백미 및 미강에 함유된 총 폴리페놀의 함량을 표준 페놀화합물로 카테친을 사용하고 비색법에 의하여 측정하였을 때 오대 현미의 폴리페놀 함량은 78.4 mg%, 남평 현미 88.8 mg% 였다. 도정한 백미 중의 총 폴리페놀 함량은 30.3∼56.9 mg%, 미강이 541.5∼472.6 mg%의 범위였다. 이상과 같이 쌀에는 phenolic acid 및 총 폴리페놀이 상당량 함유되어 있으며 특히 배유보다는 강층에 많이 존재하므로 이들 성분의 효율적인 이용을 위한 쌀의 섭취방안이 필요한 것으로 나타났다. 유의적인 상관관계를 나타내고 있어 백편의 조직감은 Compression force 와 Work ratio로 대치할 수 있을 것이라고 사료된다. 수분함량은 기계적 검사보다 관능검사와 더욱 높은 상관관계를 나타냈다.내었다. 항균활성이 우수한 생약재를 농도별로 활성을 조사한 결과, 물 추출물과 10% Ethanol 추출물 모두 낮은 농도에서도 우수한 항균활성을 나타내었다.취와 함께 점질성 갈변물질이 생성되었다. 이와 같은 결과로 볼 때, BAAG의 처리는 BAAC의 경우보다 가격은 저렴하면서도 항균력은 우수한 천연 항균복합제재로써 농산물 식품원료에 적용하여 선도유지 기간을 연장할 수 있는 효과를 기대할 수 있었다. 과일 등의 포장제로서 이용할 가능성을 확인하였다.로 [-wh] 겹의문사는 복수 의미를 지닐 수 없 다. 그러면 단수 의미는 어떻게 생성되는가\ulcorner 본 논문에서는 표면적 형태에도 불구하고 [-wh]의미의 겹의문사는 병렬적 관계의 합성어가 아니라 내부구조를 지니지 않은 단순한 단어(minimal $X^{0}$ elem

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.275-284
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• 2022

Changes in air temperature, CO₂ concentration and precipitation due to climate change are expected to have a significant impact on soybean productivity. This study was conducted to evaluate the climate change impact on growth and development of determinate soybean cultivar in the southern parts of Korea. The high temperature during vegetative period, which does not accompany the increase of CO₂ concentration, increased the canopy photosynthetic rate in soybean, but after flowering, the high temperature above the optimal ranges interrupts the photosynthetic metabolism. In yield and yield components, high temperature reduced both the pod and seed number and single seed weight, resulting in a reduction of total seed yield. On the other hand, the increase in CO₂ concentration dramatically increased the canopy photosynthetic rate over the whole growth period. In addition, high CO₂ concentration increased the number of pods and seeds, which had a positive effect on total seed yield. Under concurrent elevation of air temperature and CO₂ concentration, canopy photosynthesis increased significantly, but enhanced canopy photosynthesis did not lead to an increase in soybean seed yield. The increase in biomass and branch by enhanced canopy photosynthesis seems to be attributed to an increase in the total number of pods and seeds per plant, which compensates for the negative effects of high temperature on pod development. However, Single seed weight tended to decrease rapidly by high temperature, regardless of CO₂ concentration level. Elevated CO₂ concentration did not compensate for the poor distribution of assimilations from source to sink caused by high temperature. These results show that the damage of future soybean yield and quality is closely related to high temperature stress during seed filling period.

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.155-159
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• 2004

Recently, there are many trials about Artificial neural networks : ANNs structure and studying method of researches for forecasting traffic volume. ANNs have a powerful capabilities of recognizing pattern with a flexible non-linear model. However, ANNs have some overfitting problems in dealing with a lot of parameters because of its non-linear problems. This research deals with the application of a variety of model selection criterion for cancellation of the overfitting problems. Especially, this aims at analyzing which the selecting model cancels the overfitting problems and guarantees the transferability from time measure. Results in this study are as follow. First, the model which is selecting in sample does not guarantees the best capabilities of out-of-sample. So to speak, the best model in sample is no relationship with the capabilities of out-of-sample like many existing researches. Second, in stability of model selecting criterion, AIC3, AICC, BIC are available but AIC4 has a large variation comparing with the best model. In time-series analysis and forecasting, we need more quantitable data analysis and another time-series analysis because uncertainty of a model can have an effect on correlation between in-sample and out-of-sample.