• (The)Study of the Eastern Classic
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• no.34
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• pp.339-362
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• 2009

If we try to define the concept of beauty in the large sense, as Kant and Chaung-tzu all agree, It can not be fixed in the one sense, but whose connotation and denotation should be extended infinitely. In this sense, I would like to say that the beauty is liberty. Aesthetics of Kant is oriented toward subjective and reflexive dimension, while that of Chuang-tzu is oriented toward natural and practical one. The difference between aesthetics of the two philosophers begins from their philosophical methodology. If the transcendental methode which is proper to Kant's philosophy prefers to discriminate and devide everything especially from dichotomic viewpoint by langage. But Chuang-tzu' methode called Za-Mang criticizes such a dichotomic division and langage itself. Even so, the two in the long run agree as to the foundation of beauty. But Kant's liberty is one of will or transcendental, meanwhile that of Chuang-tzu is based on recognize the fact that we are all production of nature. according to Chuang-tzu, in the great beginning, there was non-being. It had neither being nor name. The One originates from it. When things obtain it and come into existence. As the One, Tao is in the excrement and urine. Everything is under the constant flux. All species have originative or moving power. Although the universe is vast, its transformation is uniform. Because all things are one. Vacuity, tranquillity, mellowness, quietness, and taking no action characterize the things of universe at peace and represent the ultimate of Tao and virtue. The material was transformed to be form, form was transformed to become life, and now life has transformed to become death. A basic principle of Chuang-tzu's art is expressed in the phrase "taking off clothes and squatting down bare-backed". The key of Chuang-tzu's aesthetics is to dedicate to the expression of inner spirit instead of physical verisimilitude, and painting should be a spontaneous and instantaneous flow of the brush. Kant's concepts such as "disinterested" and "purposiveness of nature" seem to imply in the long run the unification of nature and human being which is fundament to Chuang-tzu's aesthetics.

• Knowledge Management Research
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• v.22 no.4
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• pp.119-133
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• 2021

As a large amount of data is produced in each industry, a number of time series pattern prediction studies are being conducted to make quick business decisions. However, there is a limit to predicting specific patterns in nonlinear time series data due to the uncertainty inherent in the data, and there are difficulties in making strategic decisions in corporate management. In addition, in recent decades, various studies have been conducted on data such as demand/supply and financial markets that are suitable for industrial purposes to predict time series data of irregular random walk models, but predict specific rules and achieve sustainable corporate objectives There are difficulties. In this study, the prediction results were compared and analyzed using the Chaos analysis method for roulette data and financial market data, and meaningful results were derived. And, this study confirmed that chaos analysis is useful for finding a new method in analyzing time series data. By comparing and analyzing the characteristics of roulette games with the time series of Korean stock index future, it was derived that predictive power can be improved if the trend is confirmed, and it is meaningful in determining whether nonlinear time series data with high uncertainty have a specific pattern.

• The Journal of Engineering Geology
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• v.32 no.3
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• pp.377-388
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• 2022

Recently, several studies have utilized machine learning to efficiently and accurately analyze seismic data that are exponentially increasing. In this study, we expand earthquake information such as occurrence time, hypocentral location, and magnitude to produce a dataset for applying to machine learning, reducing the dimension of the expended data into dominant features through principal component analysis. The dimensional extended data comprises statistics of the earthquake information from the Global Centroid Moment Tensor catalog containing 36,699 seismic events. We perform data preprocessing using standard and max-min scaling and extract dominant features with principal components analysis from the scaled dataset. The scaling methods significantly reduced the deviation of feature values caused by different units. Among them, the standard scaling method transforms the median of each feature with a smaller deviation than other scaling methods. The six principal components extracted from the non-scaled dataset explain 99% of the original data. The sixteen principal components from the datasets, which are applied with standardization or max-min scaling, reconstruct 98% of the original datasets. These results indicate that more principal components are needed to preserve original data information with even distributed feature values. We propose a data processing method for efficient and accurate machine learning model to analyze the relationship between seismic data and seismic behavior.

• Wind and Structures
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• v.34 no.1
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• pp.115-125
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• 2022

The high-Reynolds number flow around a rectangular cylinder, having streamwise to crossflow length ratio equal to 5 is analyzed in the present paper. The flow is characterized by shear-layer separation from the upstream edges. Vortical structures of different size form from the roll-up of these shear layers, move downstream and interact with the classical vortex shedding further downstream in the wake. The corresponding mean flow is characterized by a recirculation region along the lateral surface of the cylinder, ending by mean flow reattachment close to the trailing edge. The mean flow features on the cylinder side have been shown to be highly sensitive to set-up parameters both in numerical simulations and in experiments. The results of 21 Large Eddy Simulations (LES) are analyzed herein to highlight the impact of the lateral mean recirculation characteristics on the near-wake flow features and on some bulk quantities. The considered simulations have been carried out at Reynolds number Re=DU_∞/ν=40 000, being D the crossflow dimension, U_∞ the freestream velocity and ν the kinematic viscosity of air; the flow is set to have zero angle of attack. Some simulations are carried out with sharp edges (Mariotti et al. 2017), others with different values of the rounding of the upstream edges (Rocchio et al. 2020) and an additional LES is carried out to match the value of the roundness of the upstream edges in the experiments in Pasqualetto et al. (2022). The dimensions of the mean recirculation zone vary considerably in these simulations, allowing us to single out meaningful trends. The streamwise length of the lateral mean recirculation and the streamwise distance from the upstream edge of its center are the parameters controlling the considered quantities. The wake width increases linearly with these parameters, while the vortex-shedding non-dimensional frequency shows a linear decrease. The drag coefficient also linearly decreases with increasing the recirculation length and this is due to a reduction of the suctions on the base. However, the overall variation of C_D is small. Finally, a significant, and once again linear, increase of the fluctuations of the lift coefficient is found for increasing the mean recirculation streamwise length.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.1
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• pp.29-41
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• 2023

In landscape studies, the concept of naturalness was vast in its categories from physical space to cognitive systems, making it difficult to define terms at once. Therefore, this study summarized the concept and evaluation attributes of 'naturalness' used in the literature through systematic review (SR), and identified the scope of individual attributes that constitute the meaning of naturalness. In addition, the individual attributes classified in previous studies were identified as the meaning chain, one of the cognitive linguistic research methods, and applied to papers targeting naturalness among domestic landscape studies to organize a polysemous meaning system. Meaning chain is a suitable method for grasping words whose meaning expands in a chain due to family resemblance around prototypical meaning, and the dimension is classified according to the classification of naturalness evaluation items and a multi-semantic chain system of naturalness concepts discussed in domestic academia. The results of the study are as follows. First, the attributes of naturalness extracted through foreign landscape literature were classified into four areas: nature perceived as wilderness, nature as non-artificiality, nature as visual landscape, and nature as experience, and 13 detailed attributes. Second, these detailed attributes are generally consistent with domestic landscape studies, but their specific cases were different, and a Korean context was presented in perception of time accumulation, also they suggested that there may be a mutual conflict between naturalness attributes.

• Journal of the Daesoon Academy of Sciences
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• v.18
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• pp.53-79
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• 2004

This paper explores the relationship between Korean immigrants to the United States and their religious identity from the cultural point of view. Most scholarly studies on Korean immigrants in the United States have been dominated by sociological approach and ethnic studies in examining the social dimension of the Korean immigrant communities while neglecting issues concerning their religious identity and cultural heritage. Most Korean immigrants to America attend Korean churches regardless their religious affiliation before they came to America. One of the reasons for this phenomenon is the fact that Korean church has provided a necessary social service for the newly arrived immigrants. Korean churches have been able to play a key role in the life of Korean immigrants. Korean immigrants, however, have shown a unique aspect regarding their religious identity compared to other immigrants communities in the United States. America is a nation of immigrants, coming from different parts of the world. Each immigrant community has brought their unique cultural heritage and religious persuasion. Asian immigrants, for example, brought their own traditional religions such as Hinduism, Buddhism. People from the Middle Eastern countries brought Islamic faith while European Jews brought the Jewish tradition. In these immigrant communities, religious identity and cultural heritage were homo genously harmonized. Jewish people built synagogue and taught Hebrew, Jewish history, culture, and faith. In this case, synagogue was not only the house of worship for Jews but also the center for learning Jewish history, culture, faith, and language. In short, Jewish cultural history was intimately related to Jewish religious history; for Jewish immigrants, learning their social and political history was indeed identical with leaning of their religious history. The same can be said about the relationship between Indian community and Hinduism. Hindu temples serve as the center of Indian immigrantsin providing the social, cultural, and spiritual functions. Buddhist temples, for that matter, serve the same function to the people from the Asian countries. Chinese, Japanese, Vietnamese, Tibetans, and Thais have brought their respective Buddhist traditions to America and practice and maintain both their religious faith and cultural heritage. Middle Eastern people, for example, have brought Islamic faith to the United States, and Mosques have become the center for learning their language, practicing their faith, and maintaining their cultural heritage. Korean immigrants, unlike any other immigrant group, have brought Christianity, which is not a Korean traditional religion but a Western religion they received in 18th and 19th centuries from the West and America, back to the United States, and church has become the center of their lives in America. In this context, Koreans and Korean-Americans have a unique situation in which they practice Christianity as their religion but try to maintain their non-Christian cultural heritage. For the Korean immigrants, their religious identity and cultural identity are not the same. Although Korean church so far has provides the social and religious functions to fill the need of Korean immigrants, but it may not be able to become the most effective institution to provide and maintain Korean cultural heritage. In this respect, Korean churches must be able to open to traditional Korean religions or the religions of Korean origin to cultivate and nurture Korean cultural heritage.

• Journal of The Korean Association For Science Education
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• v.28 no.4
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• pp.316-330
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• 2008

During the past two decades or so, science (or scientific or scientific & technological) culture has become one of the main themes not only of policy makers but also of science educators. Although, the idea of science culture has been taken as a desirable goal, there is little agreement about what it means and how to measure it. Particularly in Korea, there has been a rapid growth of science culture projects and programs, either by governmental or non-governmental, but with little systemic monitoring and evaluation for its practice. The purpose of this study is, thus, to explore a model of measuring science culture and develop a comprehensive indicator system for it. We reviewed many literatures on definitions of science culture and the surveys for related terms, particularly, of recent national and international surveys (e.g. US Science and Engineering Indicators, Eurobarometer, Japanese Science and Technology Indicators). Based on this review, a model for science culture is proposed and then used to define the Science Culture Indicators (SCI). This model encompasses two dimensions(i.e. individual and social), which are further divided into two aspects (i.e. potential and practice). Each dimension is expected to represent citizen literacy of and national infrastructure of science culture respectively. Each category in this $2{\times}2$ matrix is further divided into several sub-categories. The discussion concerning how the model and the indicators can be used to check the states of science culture at social as well as individual levels will be given with some concrete examples, such as indicators particularly related to science education.

• The Journal of the Petrological Society of Korea
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• v.16 no.3
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• pp.144-161
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• 2007

The studied Nangsan area is widely covered by the Jurassic biotite granodiorite, which is mainly light grey in color and medium-grained in texture. Results of the regional fracture pattern analysis for the granodiorite body are as follows. Strike directions of fractures show three dominant sets in terms of frequency order. The sets are in an order of a (1) $N80^{\circ}{\sim}90^{\circ}E$ (1st-order)>(2) $N70^{\circ}{\sim}80^{\circ}E$ (2nd-order)>(3) $NS{\sim}N10^{\circ}E$ (3rd-order). Spacings of the fractures are mostly predominant in less than 200 cm. Therefore, the granodiorite of the area has more potential for non-dimensional stones than dimension ones. And orientations of vertical quarrying planes can be also divided into two groups in terms of frequency $N14^{\circ}W{\sim}N16^{\circ}E$ (1st-order) and (2) $N78^{\circ}E{\sim}N88^{\circ}E$ (2nd-order). The orientations of the two groups are more or less different from those of the regional fracture patterns. These can be mainly attributed to the preferred orientations of microcrack developed in the quarries. Of physical properties, specific gravity, absorption ratio, porosity, compressive strength, tensile strength and abrasive hardness are 2.65, 0.28%, 0.73%, $1,628kg/cm^2,\;100kg/cm^2$ and 31, respectively. Contrary to the porosity, both granites of the Nangsan and Sogrisan areas show almost similar values of the abrasive hardness. These can be explained by the differences of Qz+Af modes, which can be regarded as an index for abrasive resistance. Meanwhile, it is anticipated that comprehensive understanding of the orientations of vertical quarrying planes and characteristics of various physical properties will be utilized as an important information for stone resources.

• Information Systems Review
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• v.18 no.2
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• pp.79-106
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• 2016

Service innovation is one means of gaining an advantage in a highly competitive environment. Although numerous studies have stressed the importance of service innovation, traditional good-dominant logic is still used in service innovation literature. Furthermore, few studies have been conducted on the link between service innovation and its antecedents in terms of service-oriented approach. To fill the gap, this article theoretically and empirically examines service innovation and its antecedents and consequences. Based on service-dominant logic and resource advantage theory, the current study aims to understand the effect of antecedents on service innovation as well as to identify the effect of service innovation on firm performance (i.e., non-financial and financial performance). Three service innovation activities, namely service creation-focused innovation, service delivery-focused innovation, and customer interaction-focused innovation, and four antecedents of service innovation, including human resource management capability, collaboration capability, marketing capability, and information technology capability, are identified based on Den Hertog (2000)'s service innovation framework. By using the empirical data collected from 189 service firms in Korea, this study explores the causal relationship among antecedents, service innovation and firm performance. Findings indicate that human resource management and marketing capabilities influence the three types of service innovation, whereas collaboration and information technology capabilities have a significant effect on both service creation-focused innovation and service delivery-focused innovation. In particular, human resource management capability is strongly related to customer interaction-focused innovation. The three types of service innovation have a positive influence on non-financial performance, whereas service delivery-focused innovation and customer interaction-focused innovation positively influence financial performance. These results support the crucial effects of antecedents, such as human resource management, collaboration, marketing and information technology capabilities, on service innovation.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.47-73
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• 2020

KTX rolling stocks are a system consisting of several machines, electrical devices, and components. The maintenance of the rolling stocks requires considerable expertise and experience of maintenance workers. In the event of a rolling stock failure, the knowledge and experience of the maintainer will result in a difference in the quality of the time and work to solve the problem. So, the resulting availability of the vehicle will vary. Although problem solving is generally based on fault manuals, experienced and skilled professionals can quickly diagnose and take actions by applying personal know-how. Since this knowledge exists in a tacit form, it is difficult to pass it on completely to a successor, and there have been studies that have developed a case-based rolling stock expert system to turn it into a data-driven one. Nonetheless, research on the most commonly used KTX rolling stock on the main-line or the development of a system that extracts text meanings and searches for similar cases is still lacking. Therefore, this study proposes an intelligence supporting system that provides an action guide for emerging failures by using the know-how of these rolling stocks maintenance experts as an example of problem solving. For this purpose, the case base was constructed by collecting the rolling stocks failure data generated from 2015 to 2017, and the integrated dictionary was constructed separately through the case base to include the essential terminology and failure codes in consideration of the specialty of the railway rolling stock sector. Based on a deployed case base, a new failure was retrieved from past cases and the top three most similar failure cases were extracted to propose the actual actions of these cases as a diagnostic guide. In this study, various dimensionality reduction measures were applied to calculate similarity by taking into account the meaningful relationship of failure details in order to compensate for the limitations of the method of searching cases by keyword matching in rolling stock failure expert system studies using case-based reasoning in the precedent case-based expert system studies, and their usefulness was verified through experiments. Among the various dimensionality reduction techniques, similar cases were retrieved by applying three algorithms: Non-negative Matrix Factorization(NMF), Latent Semantic Analysis(LSA), and Doc2Vec to extract the characteristics of the failure and measure the cosine distance between the vectors. The precision, recall, and F-measure methods were used to assess the performance of the proposed actions. To compare the performance of dimensionality reduction techniques, the analysis of variance confirmed that the performance differences of the five algorithms were statistically significant, with a comparison between the algorithm that randomly extracts failure cases with identical failure codes and the algorithm that applies cosine similarity directly based on words. In addition, optimal techniques were derived for practical application by verifying differences in performance depending on the number of dimensions for dimensionality reduction. The analysis showed that the performance of the cosine similarity was higher than that of the dimension using Non-negative Matrix Factorization(NMF) and Latent Semantic Analysis(LSA) and the performance of algorithm using Doc2Vec was the highest. Furthermore, in terms of dimensionality reduction techniques, the larger the number of dimensions at the appropriate level, the better the performance was found. Through this study, we confirmed the usefulness of effective methods of extracting characteristics of data and converting unstructured data when applying case-based reasoning based on which most of the attributes are texted in the special field of KTX rolling stock. Text mining is a trend where studies are being conducted for use in many areas, but studies using such text data are still lacking in an environment where there are a number of specialized terms and limited access to data, such as the one we want to use in this study. In this regard, it is significant that the study first presented an intelligent diagnostic system that suggested action by searching for a case by applying text mining techniques to extract the characteristics of the failure to complement keyword-based case searches. It is expected that this will provide implications as basic study for developing diagnostic systems that can be used immediately on the site.