• Title/Summary/Keyword: 구성분석

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The Investigation and Conservation of Central Asia Wall Painting (No. 4074 and 4096) (중앙(中央) 아세아(亞細亞) 벽화(壁畵) 보존처리(保存處理)(I) - 벽화(壁畵)(본(本)4074, 본(本)4096)의 상웅조사(狀熊調査) -)

  • Kang, Hyung-tae;Yi, Yong-hee;Yu, Hei-sun;Kim, Yeon-mi;Jo, Yeon-tae;Aoki, Shigo;Yamamoto, Noriko;Ohbayashi, Kentaro
    • Conservation Science in Museum
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    • v.3
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    • pp.43-50
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    • 2001
  • This article is about a joint project carried out by the National Museum of Korea and the Tokyo Cultural Properties Research Institute for the conservation of central Asia Wall painting that has been selected for the exhibition at the new Seoul National Museum of Korea at Yongsan. The investigation of the wall painting revealed very useful information. This includes the condition of the object, and the identification of evident damage, such as cracks, loss of pigment, plus materials and methods employed during the object's creation, as well as previous conservation treatment. The object was mainly made by applying plaster to the body (wall) that consisted of a mixture of soils and rice straws. Then, on the surface of the wall-painting, pigments were used to draw and to colour it. As a part of the investigation, radiocarbon dating was conducted using straw samples taken from the object. The result indicates that the object is probably dated form between the end of the 10th Century and the beginning of the 13th Century. The result of X-ray diffraction also revealed the composition of the pigments used on the surface. These are 1. gypsom [Ca(SO4)·2H2O], CaSO4 and Calcite (CaCO3) and Calcite (CaCO3) that were used for the white background. 2. Pb3O4 and led Arsenate [Pb(As2O6) that were used for the red colouring. 3. Cuprite (Cu2O), Arsenolite (As2O3) and Arsenic Oxide (As2O4) that were used for the green colouring.

Investigating Data Preprocessing Algorithms of a Deep Learning Postprocessing Model for the Improvement of Sub-Seasonal to Seasonal Climate Predictions (계절내-계절 기후예측의 딥러닝 기반 후보정을 위한 입력자료 전처리 기법 평가)

  • Uran Chung;Jinyoung Rhee;Miae Kim;Soo-Jin Sohn
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.2
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    • pp.80-98
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    • 2023
  • This study explores the effectiveness of various data preprocessing algorithms for improving subseasonal to seasonal (S2S) climate predictions from six climate forecast models and their Multi-Model Ensemble (MME) using a deep learning-based postprocessing model. A pipeline of data transformation algorithms was constructed to convert raw S2S prediction data into the training data processed with several statistical distribution. A dimensionality reduction algorithm for selecting features through rankings of correlation coefficients between the observed and the input data. The training model in the study was designed with TimeDistributed wrapper applied to all convolutional layers of U-Net: The TimeDistributed wrapper allows a U-Net convolutional layer to be directly applied to 5-dimensional time series data while maintaining the time axis of data, but every input should be at least 3D in U-Net. We found that Robust and Standard transformation algorithms are most suitable for improving S2S predictions. The dimensionality reduction based on feature selections did not significantly improve predictions of daily precipitation for six climate models and even worsened predictions of daily maximum and minimum temperatures. While deep learning-based postprocessing was also improved MME S2S precipitation predictions, it did not have a significant effect on temperature predictions, particularly for the lead time of weeks 1 and 2. Further research is needed to develop an optimal deep learning model for improving S2S temperature predictions by testing various models and parameters.

Molecular Breeding of Tobacco Plants Resistant to TMV and PVY (분자생물학적 TMV 및 PVY 저항성 연초 육종)

  • E.K. Pank;Kim, Y.H.;Kim, S.S.;Park, S.W.;Lee, C.H.;K.H.Paik
    • Proceedings of the Korean Society of Tobacco Science Conference
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    • 1997.10a
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    • pp.134-152
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    • 1997
  • Plant viruses of tobacco including tobacco mosaic virus (TMV) and potato virus Y (PVY) cause severe economic losses in leaf-tobacco production. Cultural practices do not provide sufficient control against the viruses. Use of valuable resistant cultivars is most recommendable for the control of the viruses. However, conventional breeding programs are not always proper for the development of virus-resistant plants mostly owing to the frequent lack of genetic sources and introduction of their unwanted properties. Therefore, we tried to develop virus-resistant tobacco plants by transforming commercial tobacco cultivars, NC 82 and Burley 21, with coat protein (CP) or replicase (Nlb) genes of TMV and PVY necrosis strain (PVY-VN) with or without untranslated region (UTR) and with or without mutation. Each cDNA was cloned and inserted in plant expression vectors with 1 or 2 CaMV 35S promotors, and introduced into tobacco leaf tissues by Agrobacterium tumefaciens LBA 4404. Plants were regenerated in kanamycin-containing MS media. Regenerated plants were tested for resistance to TMV and PVY In these studies, we could obtain a TMV-resistant transgenic line transformed with TMV CP and 6 genetic lines with PVY-VN cDNAs out of 8 CP and replicase genes. In this presentation, resistance rates, verification of gene introduction in resistant plants, stability of resistance through generations, characteristics of viral multiplication and translocation in resistant plants, and resistance responses relative to inoculum potential and to various PVY strains will be shown. Yield and quality of leaf tobacco of a promising resistant tobacco line will be presented.

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Estimation for Ground Air Temperature Using GEO-KOMPSAT-2A and Deep Neural Network (심층신경망과 천리안위성 2A호를 활용한 지상기온 추정에 관한 연구)

  • Taeyoon Eom;Kwangnyun Kim;Yonghan Jo;Keunyong Song;Yunjeong Lee;Yun Gon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.2
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    • pp.207-221
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    • 2023
  • This study suggests deep neural network models for estimating air temperature with Level 1B (L1B) datasets of GEO-KOMPSAT-2A (GK-2A). The temperature at 1.5 m above the ground impact not only daily life but also weather warnings such as cold and heat waves. There are many studies to assume the air temperature from the land surface temperature (LST) retrieved from satellites because the air temperature has a strong relationship with the LST. However, an algorithm of the LST, Level 2 output of GK-2A, works only clear sky pixels. To overcome the cloud effects, we apply a deep neural network (DNN) model to assume the air temperature with L1B calibrated for radiometric and geometrics from raw satellite data and compare the model with a linear regression model between LST and air temperature. The root mean square errors (RMSE) of the air temperature for model outputs are used to evaluate the model. The number of 95 in-situ air temperature data was 2,496,634 and the ratio of datasets paired with LST and L1B show 42.1% and 98.4%. The training years are 2020 and 2021 and 2022 is used to validate. The DNN model is designed with an input layer taking 16 channels and four hidden fully connected layers to assume an air temperature. As a result of the model using 16 bands of L1B, the DNN with RMSE 2.22℃ showed great performance than the baseline model with RMSE 3.55℃ on clear sky conditions and the total RMSE including overcast samples was 3.33℃. It is suggested that the DNN is able to overcome cloud effects. However, it showed different characteristics in seasonal and hourly analysis and needed to append solar information as inputs to make a general DNN model because the summer and winter seasons showed a low coefficient of determinations with high standard deviations.

Impact of Sluice Gates at Stream Mouth on Fish Community (하구의 배수갑문 설치 유무가 어류군집에 미치는 영향)

  • Kim, Jun-Wan;Kim, Kyu-Jin;Choi, Beom-Myeong;Yoon, Ju-Duk;Park, Bae-Kyung;Kim, Jong-Hak;Jang, Min-Ho
    • Korean Journal of Ecology and Environment
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    • v.55 no.1
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    • pp.49-59
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    • 2022
  • Total of 325 estuaries in Korea were surveyed to analyze the effect of presence of sluice gate on the estuary environment and fish community from 2016 to 2018. Fish community in closed and open estuaries showed differences generally, and the relative abundance (RA) of primary freshwater species in the closed and migratory species in the open estuaries were high. The result of classifying species by habitat characteristics in closed and open estuaries showed similar tendencies at the estuaries of south sea and west sea. The relative abundances of primary freshwater species in the closed estuaries at the estuaries of south sea and west sea were the highest, but estuarine and migratory species were high in both closed and open estuaries at the estuaries of east sea. Primary freshwater species showed higher abundances in the closed estuaries with reduced salinity due to blocking of seawater since they are not resistant to salt. However, primary freshwater species in open estuaries at east sea was higher than that of the closed estuaries, which is considered to be the result of reflecting the characteristics (tide, sand bar, etc.) of the east sea. Korea Estuary Fish Assessment Index (KEFAI) was showed to be higher at open estuaries than closed in all sea areas (T-test, P<0.001), the highest KEFAI was observed in closed estuaries at south sea, and open estuaries in east sea. Fish community of closed and open estuaries in each sea areas showed statistically significant differences (PERMANOVA, East, Pseudo-F=3.0198, P=0.002; South, Pseudo-F=22.00, P=0.001; West, Pseudo-F=14.067, P=0.001). Fish assemblage similarity by sea areas showed a significant differences on fish community in closed and open estuaries at east sea, south sea, and west sea (SIMPER, Group dissimilarity, 85.85%, 88.36%, and 88.05%). This study provided information on the characteristics and distribution of fish community according to the types of estuaries. The results of this study can be used as a reference for establishing appropriate management plans according to the sea areas and type in the management and restoration of estuaries for future.

The Myth of the Samsunghyeol through Communication Mathematic - Historical Analysis of The Goyangbu 3 (고양부 3을나의 3의 통신수학-역사적 분석을 통한 3성혈 신화 해석)

  • Lee, Seong kook;Lee, Moon Ho;Kim, Jeong Su
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.581-587
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    • 2022
  • The water god, Venerable Bhadra, Indian Tammola (Tamla as the 'mol' and 'ju' characters were eliminated) came to Tamla with 900 Arahants(The highest Buddhist monks) around 563-483 BC. It is the propagation of Buddhism through the world's most sacred water (Heiligkeit). The traces of the three surnames of Goyangbu are the first samsunghyeol and the dwelling of the den of Jonjaam(cave of venerable Bhadra) in Yeongsil, giving a glimpse into the era of living in caves. The second is a link that is in line with 3, the basic number in the decomposition of 900 (=3*3*100) disciples of Bhadra, considering that 3 and 3 of the three surnames in Goyangbu are three times 9. At this time, 3 is the person of heaven and earth, religiously, marriage, hope, or complete number, and Jeju culture is resting everywhere. For example, 3 of the samsunghyeol, 3 of the 1, 2, 3 Dodong, 3 of the 3 Dado, 3 of the 3 Mudo, 3 of the 3 disasters, 3 of the Goyangbu 3-surnames, 3 of the house Olle Jeongnang and, among 900 (=3*3*100) disciples of Venerable Bhadra, the common factor is 3. It is the 'island of 3'. These papers consist of 1 and 2 parts. In Part 1, the name of Tamla came from Tammola, India, and 900 Indian Buddhist Arahants estimated that the three surnames in Goyangbu were the ancestors. Part 2 highlights how the basic principle of jeonganag derived from Indian customs has evolved and is being used in modern mobile communication and DNA gene life science.

A Study on the Ecological Factors Affecting the Quality of Life among the Elderly People (노년기 삶의 질에 영향을 미치는 생태체계적 요인에 관한 연구)

  • Bae, Na-Rae;Park, Chung-Sun
    • 한국노년학
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    • v.29 no.2
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    • pp.761-779
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    • 2009
  • The purpose of this study is to analyze the factors affecting the quality of life of elderly people from the ecological perspective. Specifically, this study attempts to compare the relative contributions of the variables from the individual system, microsystem, mesosystem, and macrosystem on the quality of life of the elderly people. The subjects for this study consisted of 443 elderly over 60 years old in Daegu city, Gyeongsang-do, and Chungchung-do areas. The data were collected randomly by interviews with a structured questionnaire, and analyzed by frequencies, means, ANOVA, and hierarchial regression method. The major-findings of this study were as follows: 1. The quality of life of the elderly consisted of four factors; physical, economic, psychological, and social factors. The highest satisfaction score for the quality of life was found in psychological factors, The global satisfaction score for the quality of life was found to be relatively high. 2. Out of the individual factors influencing the quality of life of the elderly, the economic status of the respondent was found to be the most important. Out of the microsystemic factors, the most important factors were found to be the intimacy with the spouse and with the children. Out of the mesosysystemic factors, the degree of the social participation of the elderly was found to be the most significant. However, none of the macrosystemic factors were found to be important in influencing the quality of life of the elderly people. 3. The relative significances of the variables contributing to the quality of life of the elderly were analyzed using a hierarchical regression technique. It was found that there was no significant factor in social background and mesosystemic variables. On the other hand, the degree of the self-efficacy and the level of the economic status from the individual factors, and the intimacy with the spouse and the children from microsystemic factors were found to be very significant in contributing the quality of life of the elderly.

A Study on the Knowledge of and Attitudes toward the Elderly of College Students in Korea and the United States (한국과 미국 대학생의 노인에 대한 지식 및 태도 연구)

  • Kim, Wook
    • 한국노년학
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    • v.31 no.3
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    • pp.505-526
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    • 2011
  • The purposes of this paper were to examine the level of knowledge of and attitudes toward the elderly and investigate the differences in the level of knowledge of and attitudes about the elderly by selected socio-demographic factors and aging related factors in Korea and the United States. The research subjects were 1129 college students attending 10 schools in Korea and the United States(840 Korean students in 5 schools, located in Seoul City, Gyeonggi-Do, Chungcheong-Do in Korea and 289 American students in 5 schools located in the State of New York of the United States). They were interviewed, using the structured questionnaire, and the data were analyzed by SPSS 15.0 for Windows. The research questionnaire was composed of Fact on Aging Quiz Part 1(FAQ 1) developed by Palmore(1998), Semantic Differential Scale development by Sanders et al., and several socio-demographic and aging related variables. The results indicated that, first, the level of knowledge of the elderly for Korean students was 12.51/25 and for American students was 11.57/25, resulting that the knowledge level of the elderly in Korea was higher than that of the United States. In addition, the results of students' knowledge differences between korea and the United States showed that Korean students showed high ratio of correct answer in 9 questions while American students showed high ratio of correct answer in only 4 questions, resulting that Korean students have higher knowledge than American students. Second, the level of attitudes toward the elderly for Korean students was 77.54 and for American students was 70.07 in 20-140 points, resulting that the attitude level of the elderly among American students were more positive than that of Korean students. The results of students' attitudes differences between Korea and the United States showed that Korean students responded positive tendency in only one question while American students responded positive tendencies in 14 questions, resulting that American students were more positive attitudes toward the elderly than that of Korean students. Third, there is a significant correlation between the knowledge of and attitudes toward the elderly in both Korean and American students. Based on these results, implications for policy, practice, and research were further discussed.

Development of Near-Isogenic Line of japonica Rice Cultivar Saenuri without Lipoxygenase-3 (새누리 벼 품종 배경 lipoxygenase-3 결핍 자포니카 근동질계통 개발)

  • Park, Hyun-Su;Lee, Keon-Mi;Kim, Ki-Young;Kim, Jeong-Ju;Shin, Woon-Cheol;Baek, Man-Kee;Kim, Choon-Song;Park, Seul-Gi;Lee, Chang-Min;Suh, Jung-Pil;Cho, Young-Chan
    • Korean Journal of Breeding Science
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    • v.51 no.3
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    • pp.190-200
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    • 2019
  • It is reported that the absence of lipoxygenase-3 (LOX-3) may contribute to a reduction in stale flavor after the storage of rice. To improve the quality of stored rice of the Korean japonica rice cultivar, we conducted a breeding program to develop near-isogenic rice without LOX-3 in the genetic background of Saenuri, a mega variety of Korea. In the first step of the breeding program, we used a donor parent of LOX-3 null, Daw Dam, and a recurrent japonica parent, Sindongjin, to develop HR27873-AC12 by backcross (BC1), color test for introgression of lox-3, and anther culture for rapid fixation. In the second step, we used the donor parent, HR27873-AC12, and the recurrent parent, Saenuri, to develop HR28896-31-3-1-1 by backcross (BC1), marker-assisted selection (MAS) for lox-3, and phenotypic selection (PS) for agronomic traits. Finally, in the third step, we developed HR30960-186-2-1-2-1 (Jeonju624), derived from a cross between Saenuri and HR28896-31-3-1-1, by MAS for lox-3 and PS with high selection pressure for agronomic characteristics. Jeonju624 was confirmed with the introgression of lox-3 by molecular marker. Jeonju624 was a mid-late maturing rice with similar agronomic characteristics to Saenuri, lodging tolerance with short culm, erect plant architecture, and resistance to bacterial blight and rice stripe virus. The yield components of Jeonju624 were mostly similar to Saenuri, except for the 1,000-grain weight of brown rice. The appearance of the grain of Jeonju624 was better than that of Saenuri, and the characteristics of cooked rice were similar to those of Saenuri. In the genetic background analysis using 406 KASP (Kompetitive Allele-Specific PCR) markers, Jeonju624 was confirmed to be the near-isogenic line (NIL) of Saenuri with a 95.8% recovery rate. Jeonju624 is the NIL of Saenuri without LOX-3, and overcomes the linkage drag of Daw Dam with similar agronomic characteristics and genetic background to Saenuri. Jeonju624 can be utilized as a practical cultivar to improve the quality of stored rice, breeding material for the introgression of lox-3, and genetic material to elucidate the effect of introgressed genes.

Does Brand Experience Affect Consumer's Emotional Attachments? (브랜드의 총체적 체험이 소비자-브랜드의 정서적 유대관계에 미치는 영향)

  • Lee, Jieun;Jeon, Jooeon;Yoon, Jaeyoung
    • Asia Marketing Journal
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    • v.12 no.2
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    • pp.53-81
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    • 2010
  • Brand experience has received much attention from considerable marketing research. When consumers consume and use brands, they are exposed to various specific brand-related stimuli. These brand-related stimuli include brand identity and brand communications(e.g., colors, shapes, designs, slogans, mascots, brand characters) components. Brakus, Schmitt, and Zarantonello(2009) conceptualized brand experience as subjective and internal consumer responses evoked by brand-related stimuli. They demonstrated that brand experience can be broken down into four dimensions(sensory, affective, intellectual, and behavioral). Because experiences result from stimulations and lead to pleasurable outcomes, we expect consumers to want to repeat theses experiences. That is, brand experiences, stored in consumer memory, should affect brand loyalty. Consumers with positive experiences should be more likely to buy a brand again and less likely to buy an alternative brand(Fournier 1998; Oliver 1997). Brand attachment, one of dimensions of the consumer-brand relationship, is defined as an emotional bond to the specific brand(Thomson, MacInnis, and Park 2005). Brand attachment is target-specific bond between the consumer and the specific brand. Thus, strong attachment is attended by a rich set of schema that link the brand to the consumer. Previous researches propose that brand attachments should affect consumers' commitment to the brand. Brand experience differs from affective construct such as brand attachment. Brand attachment is based on interaction between a consumer and the brand. In contrast, brand experience occurs whenever there is a direct and indirect interaction with the brand. Furthermore, brand experience is not an emotional relationship concept. Brakus et al.(2009) suggest that brand experience may result in brand attachment. This study aims to distinguish brand experience dimensions and investigate the effects of brand experience on brand attachment and brand commitment. We test research problems with data from 265 customers having brand experiences in various product categories by using multiple regression and structural equation model. The empirical results can be summarized as follows. First, the paths from affective, behavior, and intellectual experience to the brand attachment were found to be positively significant whereas the effect of sensory experience to brand attachment was not supported. In the consumer literature, sensory experiences for consumers are often equated with aesthetic pleasure. Over time, these pleasure experiences can affect consumer satisfaction. However, sensory pleasures are not linked to attachment such as consumers' strong emotional bond(i.e., hot affect). These empirical results confirms the results of previous studies. Second, brand attachment including passion and connection influences brand commitment positively but affection does not influence brand commitment. In marketing context, consumers with brand attachment have intention to have a willingness to stay with the relationship. The results also imply that consumers' emotional attachment is characterized by a set of brand experience dimensions and consumers who are emotionally attached to the brand are committed. The findings of this research contribute to develop differences between brand experience and brand attachment and to provide practical implications on the brand experience management. Recently, many brand managers have focused on short-term view. According to this study, we suggest that effective brand experience management requires taking a long-term view of marketing decisions.

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