• (The) Research of the performance art and culture
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• no.33
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• pp.129-163
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• 2016

This study examines processes of cultural introductions and transformations among Korea, China and Japan via focuses on the formative characteristics of nasori(納曾利) masks belonging to komagaku (高麗樂), part of bugaku (舞樂), a Japanese court dance and music. Previous studies of traditional masks in East Asia focus on their dramatic characters and entertaining aspects. On the contrary, it approaches to their origins through the formative characteristics of komagaku nasori masks. Prince of Lanling, the representative togaku passed to Japan, and komagaku nasori perform a pair of toubu (答舞). One formative characteristic between Prince of Lanling and nasori masks is a dangling jaw (吊り顎). Masks having 'he' (へ)-shaped eyes like Japan's okina (翁) masks are characterized by a division (切顎) between the face and jaw, which is as same as the Korean masks. Other common grounds between Prince of Lanling and nasori masks are grotesque ghost faces and concentric double-circled eyes with their outlines painted gold. Concentric double-circled eyes prove that they spread to broader areas before the age of togaku and developed into a variety of divine-animal mask patterns. That Korean masks and nasori masks both have concentric double-circled eyes and dangling jaws is a significant starting point in studying the origin of traditional performing art in East Asia. Japan's bugaku has been passed down in shrines as part of folk religion. However, there exist in Korea no records or examples related to komagaku nasori masks introduced to Japan. This study provides some clues to comparison between Korean masks and komagaku nasori masks by focusing on the formative characteristics of the latter. The researcher suggests a new perspective to nasori mask dance by re-examining earlier Korean studies of the introduction of Daemyeonmu of Prince of Lanling to Japan through Shilla and the assumption of Nasori as Shilla music.

• The Journal of Korean Philosophical History
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• no.32
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• pp.309-336
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• 2011

There were various linking points that connect Li xue(Neo-Confucianism) to aesthetics in Song Dynasty as following. 1. The traditional moral as "pursuing pleasure of Kong-zi and Yan Hui" 2. Esteem of "life and vitality". Scholars of Li xue in Song regarded the pleasure of acting up to "benevolence" as a beauty, and this benevolence originated in the "heaven and earth; the universe". "Benevolence", that is to say, is name of the nature that continuous reproduction breed in an endless succession by "Yin-Yang the universe", thus the natural "life and vitality" of the "heaven and earth" as the matter of course is the perfect beauty. 3. An idea of "serene contemplation". Originally the "serene contemplation" belongs to discipline of "Li xue", however simultaneously this conception was entirely applicable to aesthetic point of view. 4. Cosmological consciousness. In the same manner, the "pleasure" which is moralistic and moreover aesthetic is indivisible from cosmic contemplation itself. Because of this point, the art and aesthetics of Song Dynasty self-consciously had the cosmological consciousness in its fullness. 5. Respect of beauty of nature. Scholars of "Li xue" considered as : no matter what "Li" or "Qi" that producing all things is "coming of itself", that is by no means artificially operated or prearranged in advance. Such standpoint was applied to creative art and made art of Song Dynasty esteem beauty of nature (coming of itself) exceedingly. 6. Laying stress on "disposition". Scholars of "Li xue" ordinarily valued much of "disposition of a sage", consequently this tendency influenced on aesthetics. "disposition" indicates the whole impression that one who has appearance and the inside(personality, temper, thought, etc.) gives to others. By putting that impression into practice of art and literature, it is to materialize the works of art as a unity of form and subject, also as an expression of human existence that breathed into one's sensibility on the whole. 7. Principles of "completing inquiry", "study the laws of nature by close access" of "Li xue". These principles made art and literature of Song Dynasty take a serious view of "Li" of all over the universe, so made them close investigate things, and after all have achieved very remarkable characteristic in art and literature, especially in paintings of Song Dynasty. Theory of painting in Song Dynasty had occupied considerably high position in Chinese aesthetic history. It was positively superior to former generations no matter what in quantity or in theoretical minuteness and its systematic level. Undoubtedly the Chinese theory of painting had been achieving development time after time since Song Dynasty. However if we could make a comparison it with every single period (ex. Yuan, Ming, and Qing Dynasties), there is no prominent period than Song Dynasty in theory of paintings. Song period had number of essays of Landscape painting.

• Journal of agriculture & life science
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• v.51 no.1
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• pp.35-43
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• 2017

This research was carried out to excessive water tolerance test among corn accessions collected from India to breed corn cultivars targeting India market. The corn accessions were 20 Inbred lines and cultivars from India as well as Korean cultivars Gwangpyungok and Chaloksusu. Excessive water tolerance test was done in the green house by immerging the pots containing corn seedlings for two weeks. Then, the plant heights were measured to compare the control plants that were not grown in the immerging state. The results showed that seven accessions of high tolerance in flooding; H2(92.9%), H18(88.8%), CN114A(98.1%), CN351A(94.3%), Super900M(95.3%), P3394(98.8%), 31N27(96.7%) in which the percent is comparison to the control plants. Whereas nine accessions showed high damage by immerging; H1(78.9%), H8(73.4%), H10(77.1%), H19(79.0%), H26(74.1%), H31(75.7%), H34(77.5%), H36(77.4%), H40(74.6%). However, the reduction on the contents of chlorophyll a, chlorophyll b, carotenoids in leaf revealed contrast results to the flooding tolerance. Particularly, H36($7.249{\mu}g{\cdot}mg^{-1}$) and H40($7.642{\mu}g{\cdot}mg^{-1}$) showed rapid reduction in the chlorophyll a content during the flooding treatment. Whereas two Indian commercial varieties 37N27($0.630{\mu}g{\cdot}mg^{-1}$) and P3394($1.208{\mu}g{\cdot}mg^{-1}$) showed slight reduction. The reduction of chlorophyll a and carotenoid contents was positively correlated during the excessive water stress.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.3-16
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• 2008

A Wireless Sensor Network (WSN for short) is a wireless network consisting of distributed small devices which are called sensor nodes or motes. Recently, there has been an extensive research on WSN and also on its security. For secure storage and secure transmission of the sensed information, sensor nodes should be equipped with cryptographic algorithms. Moreover, these algorithms should be efficiently implemented since sensor nodes are highly resource-constrained devices. There are already some existing algorithms applicable to sensor nodes, including public key ciphers such as TinyECC and standard block ciphers such as AES. Stream ciphers, however, are still to be analyzed, since they were only recently standardized in the eSTREAM project. In this paper, we implement over the MicaZ platform nine software-based stream ciphers out of the ten in the second and final phases of the eSTREAM project, and we evaluate their performance. Especially, we apply several optimization techniques to six ciphers including SOSEMANUK, Salsa20 and Rabbit, which have survived after the final phase of the eSTREAM project. We also present the implementation results of hardware-oriented stream ciphers and AES-CFB fur reference. According to our experiment, the encryption speeds of these software-based stream ciphers are in the range of 31-406Kbps, thus most of these ciphers are fairly acceptable fur sensor nodes. In particular, the survivors, SOSEMANUK, Salsa20 and Rabbit, show the throughputs of 406Kbps, 176Kbps and 121Kbps using 70KB, 14KB and 22KB of ROM and 2811B, 799B and 755B of RAM, respectively. From the viewpoint of encryption speed, the performances of these ciphers are much better than that of the software-based AES, which shows the speed of 106Kbps.

• Korean Journal of Ecology and Environment
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• v.53 no.4
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• pp.365-373
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• 2020

Biomonitoring Survey and Assessment Manual for lake ecosystem suggest zooplankton collection methods to compare relatively the number of species, population density, and community indices, taking into account the convenience of the field sampling according to the sites' water depth. In this study, the oblique towing and 20 m vertical towing methods presented in the manual were respectively compared with the whole water column-vertical towing and we analyzed the differences and characteristics of zooplankton community information gathered by each collection method. For community indices, there was no difference in the comparison of oblique/vertical towing methods in the shallow lake, but in the deep lake, the diversity and richness indices increased when vertically towing through whole water column rather than when limiting the towing depth to 20 m. In addition, the total zooplankton density collected by the oblique/20 m vertical towing methods was about three times higher than the whole water column-vertical towing method, which means that the density of zooplankton community can be overestimated depending on the collection methods. It appears to be results of differences in the zooplankton density by water layer arising from their vertical distribution and in filtered raw water quantity according to the towing depth/distance. Hence, for zooplankton community information to be used as a functional quantitative indicator representing the entire lake, it would be more appropriate to apply the whole water column-vertical towing method with considering the distribution of zooplankton density by depth and contribution rate of each water layer when converting total zooplankton density.

• Maritime Security
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• v.1 no.1
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• pp.273-310
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• 2020

This study aims at empirically analyzing the overall mechanism of the "Gray Zone Strategy", which has begun to be used as one of Chinese major maritime security strategies in maritime conflicts surrounding the South China Sea and East China Sea since early 2010, and comparing the resulting conflict patterns in those reg ions. To this end, I made the following two hypotheses about Chinese gray zone strategy. The hypotheses that I have argued in this study are the first, "The marine gray zone strategy used by China shows different structures of implementation in the South China Sea and the East China Sea, which are major conflict areas.", the second, "Therefore, the patterns of disputes in the South China Sea and the East China Sea also show a difference." In order to examine this, I will classify Chinese gray zone strategy mechanisms multi-dimensionally in large order, 1) conflict trends and frequency of strategy execution, 2) types and strengths of strategy, 3) actors of strategy execution, and 4) response methods of counterparts. So, I tried to collect data related to this based on quantitative modeling to test these. After that, about 10 years of data pertaining to this topic were processed, and a research model was designed with a new categorization and operational definition of gray zone strategies. Based on this, I was able to successfully test all the hypotheses by successfully comparing the comprehensive mechanisms of the gray zone strategy used by China and the conflict patterns between the South China Sea and the East China Sea. In the conclusion, the verified results were rementioned with emphasizing the need to overcome the security vulnerabilities in East Asia that could be caused by China's marine gray zone strategy. This study, which has never been attempted so far, is of great significance in that it clarified the intrinsic structure in which China's gray zone strategy was implemented using empirical case studies, and the correlation between this and maritime conflict patterns was investigated.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Korean Journal of Remote Sensing
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• v.38 no.2
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• pp.189-198
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• 2022

In this present study, we investigated the effect of the offset correction factor calculation method on the sulfur dioxide (SO₂) column density in the SO₂ retrieval algorithm of the Geostationary Environment Monitoring Spectrometer (GEMS) launched in February 2020. The GEMS operational SO₂ retrieval algorithm is the Differential Optical Absorption Spectroscopy (DOAS) - Principal Component Analysis (PCA) Hybrid algorithm. In the GEMS Hybrid algorithm, the offset correction process is essential to correct the absorption effect of ozone appearing in the SO₂ slant column density (SCD) obtained after spectral fitting using DOAS. Since the SO₂ column density may depend on the conditions for calculating the offset correction factor, it is necessary to apply an appropriate offset correction value. In this present study, the offset correction values were calculated for days with many cloud pixels and few cloud pixels, respectively. And a comparison of the SO₂ column density retrieved by applying each offset correction factor to the GEMS operational SO₂ retrieval algorithm was performed. When the offset correction value was calculated using radiance data of GEMS on a day with many cloud pixels was used, the standard deviation of the SO₂ column density around India and the Korean Peninsula, which are the edges of the GEMS observation area, was 1.27 DU, and 0.58 DU, respectively. And around Hong Kong, where there were many cloud pixels, the SO₂ standard deviation was 0.77 DU. On the other hand, when the offset correction value calculated using the GEMS data on the day with few cloud pixels was used, the standard deviation of the SO₂ column density slightly decreased around India (0.72 DU), Korean Peninsula (0.38 DU), and Hong Kong (0.44 DU). We found that the SO₂ retrieval was relatively stable compared to the SO₂ retrieval case using the offset correction value on the day with many cloud pixels. Accordingly, to minimize the uncertainty of the GEMS SO₂ retrieval algorithm and to obtain a stable retrieval, it is necessary to calculate the offset correction factor under appropriate conditions.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.1
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• pp.48-61
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• 2022

South Korea is quite vegetation rich country which has 63% forests and 16% cropland area. Massive NOx emissions from megacities, therefore, are easily combined with BVOCs emitted from the forest and cropland area, then produce high ozone concentration. BVOCs emissions have been estimated using well-known emission models, such as BEIS (Biogenic Emission Inventory System) or MEGAN (Model of Emission of Gases and Aerosol from Nature) which were developed using non-Korean emission factors. In this study, we ran MEGAN v2.1 model to estimate BVO Cs emissions in Korea. The MO DIS Land Cover and LAI (Leaf Area Index) products over Korea were used to run the MEGAN model for June 2012. Isoprene and Monoterpenes emissions from the model were inter-compared against the enclosure chamber measurements from Taehwa research forest in Korea, during June 11 and 12, 2012. For estimating emission from the enclosed chamber measurement data. The initial results show that isoprene emissions from the MEGAN model were up to 6.4 times higher than those from the enclosure chamber measurement. Monoterpenes from enclosure chamber measurement were up to 5.6 times higher than MEGAN emission. The differences between two datasets, however, were much smaller during the time of high emissions. More inter-comparison results and the possibilities of improving the MEGAN modeling performance using local measurement data over Korea will be presented and discussed.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.145-159
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• 2021

is a contemporary experimental film that forms ambiguity in the narrative and the psychological motivation of the characters, destroys linear temporality, and reminds of manipulation possibilities in digital images through varied techniques, and it carries implication by the fact that the transformation process of human subjects and self-awareness are connected to social trauma and makes way to infer by comparing it to the historical contexts of other nations or societies. centers on the space outside the screen, absent space, and the intrinsic meaning within the space and the frame and shares the information in the visible space and the space outside the screen and arouses an active perceptual process so that the audience can deduce the information that is not presented. The film visualized the historical meaning without describing the background of the times in detail and aimed to express the conflicts and worries between the god, a transcendental existence, with humans, which are marginal beings, within the conflicting structure among humans. Moreover, attempted to resolve the sadness of loss and absence through the spatial aesthetics and the film presented the progression of the situation through the contrast of the characters and also the comparison between light and darkness. This study intends to make an attempt of interpreting the realm involving personal (characters) stories and the social and historical backgrounds together with the religious sphere and discuss the visualization of the semantic context. In addition, this study analyzed the sequence of the scenes in , which reconstructs identity and historical cases and religious values to observe the meaning and characteristics and closely analyze the general meaning pursued by the film. discussed the issues of trauma that individuals, regions, and nations confront as a representation and interpretation of the trauma connoted in the film, and consideration can be provided about the implication concerning the situation and context in South Korea. Furthermore, the film placidly discusses the growth and agony in humans and the society without expressing it excessively, so it will be a valuable research result to inspire the trend of creating films that incorporate new imaging technology and original visualization techniques.