• (The)Study of the Eastern Classic
• /
• no.56
• /
• pp.35-73
• /
• 2014

This paper examined the poem world of Simjae(深齋) Cho Geung-seop(曺兢燮: 1873-1933) in the turning point of the modern era, focused on his Hwaunsi (和韻詩: Poems written by using the rhymes of other poets' poems). In his poems, there are lots of Hwaunsi on the poems of Tu Fu(杜甫) and Su Shi(蘇軾), especially. This makes him regarded as a medieval poet, engaged in Chinese poem creation in the most traditional method in the turbulent period. Looking at the Hawunsi(和韻詩) alone, Simjae's creative life became the starting point of turnaround at around 40 years old. Before the age of 40, the poets in the Tang Dynasty and Song Dynasty and Ming Dynasty and Qing Dynasty and Korean figures like Lee Hwang(李滉), as well as Tu Fu and Su Shi were the subjects of his Hwanunsi. After the age of 40, some examples of writing poems using the rhymes of other poets' poems, especially Korean figures related to regions, are often found, reducing Hwaunsi on Tu Fu and Su Shi. Simjae called Tu Fu the integration of poets, talking about the integrity of poetic talent and his being highly proficient in mood and view. As reflecting such an awareness, the themes and moods and views are demonstrated diversely in Simjae's Hwaunsi. Although, he did not reveal his thinking about the poems of Su Shi, he seemed to love Su Shi's poems to some degree. The closeness to the original poems, the poems of Tu Fu are relatively higher than those of Su Shi. Roughly speaking, Simjae tried to find his own individuality, intending to follow Tu Fu, but, he seemed to attempt to reveal his intention using Su Shi's poems, rather than trying to imitate. To carefully examine, Simjae wrote Hwaunsi, but he did not just imitate, but revealed the aesthetics of comparison and difference. In many cases, he made new meanings by implanting his intentions in the poems, while sharing the opportunity of creation, rather than bringing the theme and mood and view as they are. The Hwaunsi on Su Shi's poems reveal the closeness to the original poems relatively less. This can be the trace of an effort to make his own theme and individuality, not being dominated by the Hwaun(和韻: using the rhymes of other poets' poems) entirely, as he used the creative method having many restrictions. However, it is noted that the Hwaunsi on Tu Fu's poems was not written much, after the age of 40. Is this the reason why he realized literary reality that he could not cope with anymore with only his effort within the Hwaunsi? For example, he wrote four poems by borrowing Su Shi's Okjungsi(獄中詩: poem written in jail) rhymes and also wrote Gujung Japje(拘中雜題), in 1919, while he was detained. In these poems, his complex contemplation and emotion, not restricted by any poet's rhymes, are revealed diversely. Simjae's Hwaunsi testifies the reality, in which Chinese poetry's habitus existed and the impressive existence mode at the turning point of the modern era. Although, the creation of Hwaunsi reflects his disposition of liking the old things, it is judged that his psychology, resisting modern characters' change, affected to some degree in the hidden side. In this regard, Simaje's Hwaunsi encounters limitation on its own, however, it has significance in that some hidden facts were revealed in the modern Chinese poetry history, which was captured with attention under the name of novelty, eccentricity and modernity.

• Journal of Korean Society of Transportation
• /
• v.34 no.1
• /
• pp.1-14
• /
• 2016

In the recent years, the internet has become accessible without limitation of time and location to anyone with smartphones. It resulted in more convenient travel information access both on the pre-trip and en-route phase. The main objective of this study is to conduct a stationary test for traffic information web/mobile application access indexes from TCS (Toll Collection System); and analyzing the relationship between the web/mobile application access indexes and actual traffic volume on expressways, in order to analyze searching behavior of expressway related travel information. The key findings of this study are as follows: first, the results of ADF-test and PP-test confirm that the web/mobile application access indexes by time periods satisfy stationary conditions even without log or differential transformation. Second, the Pearson correlation test showed that there is a strong and positive correlation between the web/mobile application access indexes and expressway entry and exit traffic volume. In contrast, truck entry traffic volume from TCS has no significant correlation with the web/mobile application access indexes. Third, the time gap relationship between time-series variables (i.e., concurrent, leading and lagging) was analyzed by cross-correlation tests. The results indicated that the mobile application access leads web access, and the number of mobile application execution is concurrent with all web access indexes. Lastly, there was no web/mobile application access indexes leading expressway entry traffic volumes on expressways, and the highest correlation was observed between webpage view/visitor/new visitor/repeat visitor/application execution counts and expressway entry volume with a lag of one hour. It is expected that specific individual travel behavior can be predicted such as route conversion time and ratio if the data are subdivided by time periods and areas and utilizing traffic information users' location.

• Journal of Life Science
• /
• v.26 no.12
• /
• pp.1422-1430
• /
• 2016

This study was performed to investigate the modulatory effects of two prototypes of Panax ginseng saponin fractions, 20(S)-protopanaxadiol saponins (PDS) and 20(S)-protopanaxatriol saponins (PTS), on the induction of inflammatory mediators in lipopolysaccharide (LPS)-treated RAW264.7 murine macrophage cells. For this purpose, RAW264.7 cells were treated with LPS ($10{\mu}g/ml$) before, after, or simultaneously with PDS or PTS ($150{\mu}g/ml$), and the released level of nitric oxide (NO) and expression levels of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) were evaluated. When RAW264.7 cells were treated with LPS and ginseng saponin fractions simultaneously for 24 hr, PTS, compared to PDS, more strongly attenuated the NO production induced by LPS treatment. When the cells were pretreated with LPS for 2 hr followed by PDS or PTS treatment for 24 hr, both ginseng saponins strongly reduced NO release. The pretreatment of RAW264.7 cells with PDS or PTS for 2 hr followed by LPS treatment for 24 hr significantly attenuated the LPS-induced production of NO. PTS showed stronger inhibitory potency to NO generation than PDS. Our western blot experiment showed that both PDS and PTS ($150{\mu}g/ml$) also significantly down-regulated the expressions of iNOS and COX-2 induced by LPS treatment. Our results suggest that both PDS and PTS possess strong protective effects against LPS-stimulated inflammation and that their protective effects are mediated by the suppression of NO synthesis via down-regulation of pro-inflammatory enzymes, iNOS, and COX-2 in the RAW264.7 cells.

• Journal of Intelligence and Information Systems
• /
• v.18 no.3
• /
• pp.35-51
• /
• 2012

Cloud computing is internet-based computing where computing resources are offered over the Internet as scalable and on-demand services. In particular, in case a number of various cloud services emerge in accordance with development of internet and mobile technology, to select and provide services with which service users satisfy is one of the important issues. Most of previous works show the limitation in the degree of user satisfaction because they are based on so called concept similarity in relation to user requirements or are lack of versatility of user preferences. This paper presents cloud service selection reasoning which can be applied to the general cloud service environments including a variety of computing resource services, not limited to web services. In relation to the service environments, there are two kinds of services: atomic service and composite service. An atomic service consists of service attributes which represent the characteristics of service such as functionality, performance, or specification. A composite service can be created by composition of atomic services and other composite services. Therefore, a composite service inherits attributes of component services. On the other hand, the main participants in providing with cloud services are service users, service suppliers, and service operators. Service suppliers can register services autonomously or in accordance with the strategic collaboration with service operators. Service users submit request queries including service name and requirements to the service management system. The service management system consists of a query processor for processing user queries, a registration manager for service registration, and a selection engine for service selection reasoning. In order to enhance the degree of user satisfaction, our reasoning stands on basis of the degree of conformance to user requirements of service attributes in terms of functionality, performance, and specification of service attributes, instead of concept similarity as in ontology-based reasoning. For this we introduce so called a service attribute graph (SAG) which is generated by considering the inclusion relationship among instances of a service attribute from several perspectives like functionality, performance, and specification. Hence, SAG is a directed graph which shows the inclusion relationships among attribute instances. Since the degree of conformance is very close to the inclusion relationship, we can say the acceptability of services depends on the closeness of inclusion relationship among corresponding attribute instances. That is, the high closeness implies the high acceptability because the degree of closeness reflects the degree of conformance among attributes instances. The degree of closeness is proportional to the path length between two vertex in SAG. The shorter path length means more close inclusion relationship than longer path length, which implies the higher degree of conformance. In addition to acceptability, in this paper, other user preferences such as priority for attributes and mandatary options are reflected for the variety of user requirements. Furthermore, to consider various types of attribute like character, number, and boolean also helps to support the variety of user requirements. Finally, according to service value to price cloud services are rated and recommended to users. One of the significances of this paper is the first try to present a graph-based selection reasoning unlike other works, while considering various user preferences in relation with service attributes.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.38 no.1
• /
• pp.49-63
• /
• 2010

This study was intended to analyze and interpret the pattern of naming the domestic apartment brand from a semiologic viewpoint in a bid to review the meaning and value of apartment brand, while on the other hand, evaluating the characteristics of persuasive message pursued by current apartment brand in 2010, and consequently, the conclusion of the study is outlined as follows. 1. As a result of analyzing the coinage of branding naming, the words such as combination, joint and blending pattern tended to dominate, which seemed to attempt to represent the variety of values of the housing culture. Brand ideation tends to stress the character symbolism and polysemic message using syllepsis, and the experimental attempt to revive the traditional dwelling concept in a modern sense in a way of combining the archaic word with the Chinese character was found as well. 2. As a result of analyzing the frequency of verbal identity and lexeme of domestic apartments, those frequently used are in order of ville, nature, beauty(美), park, hi, green, palace(宮), nobility and center(tra), which are the lexemes representing the landscape, view, nature and dignity. 3. As a result of identifying the pattern of lexeme using analysis frame based on existing researches such as apartment brand positioning, the most important external core concepts controlling the direction and value of apartment brand are 'environment-orientated' and 'emotion-orientated', and internally, 'function-oriented'. Given the persuasive language expressing the 'environment-oriented' feature and the priority of brand lexeme are garden, park, view and the nature, a landscape-oriented persuasive message is seen to be surging in brand naming. 4. An emotion-oriented persuasive language such as dignity axis having major lexeme represented by palace, nobility, class and a pride axis having major semantic elements represented by human, I and you are used as major value concepts and persuasive language that lead domestic apartment brands to differentiation and upgradation. 5. Among the lexemes focusing on view from environment-oriented standpoint, hi, hill, tower, view, mark, heights are the trend pursued by high-rise apartment aiming at the view such as residential-commercial apartment, and thus the persuasive language focusing on high-rise concept is expected to become the element dominating the trend of apartment brand for the time being.

• Korean Journal of Heritage: History & Science
• /
• v.42 no.4
• /
• pp.198-221
• /
• 2009

Royal tombs of Joseon dynasty are the crystallization of history, ideology, culture, art, architecture, and ritual ceremony of Joseon dynasty, all mingled in one. So, they are very significant symbols showing 500 years of dynastic history as a whole. Among various factors comprising a royal tomb, stone figures surrounding grave mound are special factors as a symbol protecting it. Further among them, twelve zodiac images arrayed nearest to the grave mound represent the core of the function. Images of twelve zodiac signs originated from the tombs of the Unified Silla Kingdom are certain to hold important role and position in the construction of royal tombs, judging from huge scale and excellent sculptural art of them. However, both their scale and form had been gradually simplified in Goryeo and Joseon dynasty, thus the importance of them has been underestimated compared to other stone figures Images of twelve zodiac signs were very important factors which decorated royal tombs both as a protective role and as a concept of direction. Their historicity and symbolism cannot be neglected in that they had been transmitted to the royal tombs of Joseon dynasty. In this paper, images of twelve zodiac signs expressed in the royal tombs of Joseon dynasty are classified into 3 forms, and reviewed the origin and development of them for each period. They could be classified into 3 forms ; civil vassals with human body and head, civil vassals with human body and head wearing hat decorated with zodiac animals, Chinese characters of either zodiac signs or either a combination of 10 calendar signs and 8 trigrams. The above 3 forms originated from China and became a favorite motif to decorate the royal tombs from early Joseon period until late Joseon by replacing each other and thus changing along the course of the dynasty. In the meantime, we can see a unique character in the images of twelve zodiac signs of royal tombs of Joseon dynasty. In some cases, 24 directions are expressed in which 10 calender signs and 8 trigrams are composed altogether. Images of twelve zodiac signs in the royal bombs of Joseon dynasty are very significant as evidences by which we can confirm uniqueness and tradition of Korean tomb system transmitted from Unified Silla period.

• Journal of Intelligence and Information Systems
• /
• v.25 no.3
• /
• pp.1-17
• /
• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• Journal of the Korean Society of Food Culture
• /
• v.23 no.2
• /
• pp.293-300
• /
• 2008

It determines Chinese addiction to piquancy that the Chinese traditional food production laid excessively particular stress on agriculture coming into being long before in the history and the state of Chinese food living was that the people were very difficult to live. The history of Chinese addiction to piquancy could be traced back to prehistory. And in Chinese “hot” is separated from “peppery” and it refers in particular to the piquancy more than general peppery. The character of “Hot” appeared after Han Dynasty in Chinese. Capsicum was brought to China from the sea in the middle of Ming Dynasty. Then it surpassed the formers soon and became the most popular and addictive piquancy food in China. Capsicum has many names in China, such as “$F{\bar{a}}nji{\bar{a}}o$”, “$H{\bar{a}}iji{\bar{a}}o$”, “$L{\grave{a}}ji{\check{a}}o$”, “$L{\grave{a}}h{\breve{u}}$”, “$L{\grave{a}}zi$”, etc., and they indicate the geographical and humanistic character of the distribution. (eight books on preserving one’s health) is the earliest history record about capsicum in existent Chinese history record that was finished in 1591. In this article the author puts new opinion forward on the record in this book. It is because the hottest piquancy of capsicum, capsicum’s better adaptability and low cost to plant combine with Chinese piquancy addiction at large that capsicum can replace the status of pepper and other traditional peppery flavorings soon and cause worldwide attention to the Chinese piquancy addiction finally. The human common characters of unchangeable inertia, depending to fully grow addiction and aggrieved delight are the most important reasons to cause piquancy addiction that has formed a custom through long-repeated practice and this custom do not change with condition change. The unbalanced spread process of capsicum in China shows that the region is poorer and the addictive degree is deeper.