• SUVANNABHUMI
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• v.2 no.1
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• pp.55-94
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• 2010

Even Faxian(法顯)'s Gaosengfaxianchuan (『高僧法顯傳』) and Iching(義淨)'s Nanhaijiguineifachuan (『南海寄歸內法傳』) are regarded as very important and useful documents to study the southeast asian buddhist culture, it is very difficult to grasp the contemporary state of those area because their descriptions are very brief and implicit. Therefore this essay aimed an in-depth reading their documents as original texts of modern understanding of those area, and tried to make a new views to approach the southeast asian buddhist culture by some more historically and concretely. At the early 5th century when Faxian(法顯) arrived, Buddhism was flourished in Sri Lanka. Because already a long time passed since the Saṇgha was schismatized into conservative and progressive at around the dominical year, he mentioned nothing about the conflict or disharmony of two orders. And the faith of Buddha tooth relic, which had been uprisen at 50 years ago from Faxian's visiting, was concretely established as a representative religion of Sri Lanka. According to his record, the carrying ritual of this Buddha tooth was performed very magnificently as similar with recent Korean Youngsan ceremony(靈山齋). In the mean time, it looks there were many sculptures of Buddha image made of precious stone of special product from Sri Lanka. The faith of Buddha-pāda(the Buddha's foot-prints) was also generalized at that time. The most famous monk of his contemporary Sir Lanka was Buddhaghosa, the author of Visuddhi-magga, but it is not sure that Faxian had met him. It can be suspected that the funeral in which Faxian participated could be belonged to him, or the Visuddhi-magga was writing at the peak during Faxian's staying. On the way to return to China, Faxian embarked an indigenous ship around Indonesia. It means there were no chinese trade ship which he can use. So the trade between china and southeast asia was advanced by south asian ships, and the chinese ships were not yet joined at that time so activity. And at least until that time, it looks there were no any remarkable buddhist movement in the southeast asian countries by where he stopped. In contrast, the southeast asian world which be seen by Iching had already experienced a lot of changes. He was impressed by the high quality buddhist culture of those area, and insisted to accept it to china. Further, he analyzed the sects of buddhism which were prevalent around the southeast asia in his contemporary time, and tried to make a good relationship with each native monks for learning from them. It looks the center of those exchanges may be Śrīvijaya of Indonesia. He also mentioned the situation of the late 7th century's Funan(扶南) in Cambodia. At that time, the buddhist Saṇgha was oppressed by newly rising Khmer(眞臘). On the other hand, he described the points of sameness and difference in detail between Indian and southeast asian buddhist culture in the field of ritual as like the practical use of garments, buddha images, and daily recited scriptures. There must be a lot of another aspects which this essay couldn't gather up or catch from these documents. Nevertheless, I hope this essay can help the researchers of this field and will wait for any advices and comments from them.

• The Korean Journal of Franchise Management
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• v.3 no.1
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• pp.46-72
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• 2012

Currently, the service industry share in domestic industry is increasing. Especially the size and marketability of the food service industry, which satisfies with basic human desire, is growing significantly. In this food industry, the coffee industry is recognized as a different area from the traditional food industry. The age of instant coffee at low price has gone. Today, more and more customers want to drink more delicious coffee and coffee that is good to their bodies. Especially as individualism has been rambling, more and more people enjoy individualism and want their personal space. This is why coffee speciality stores have been universalized. Also, as coffee speciality stores have been generalized, their own service quality is necessary and they should satisfy and affirm their loyalty to the customers in line with the enhancement of service quality. The purpose of this research is understanding of the impact of coffee specialty shop's service quality on affective commitment and repurchase intentions. The results of an empirical study in this research are as follows: First, compassion among the execution factors of coffee specialty shop's quality has a positive effect on both of affective commitment. But typicality and reactivity don't. Second, affective commitment have a positive effect on repurchase intentions. With a base of the above research result, we should comprehend that another service quality factor exists compared to other dining-out industry and establish marketing strategies in order to contribute to enhance repurchase intentions for the customers.

• Communications of Mathematical Education
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• v.37 no.1
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• pp.65-84
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• 2023

The method of Lagrange multipliers, one of the most fundamental algorithms for solving equality constrained optimization problems, has been widely used in basic mathematics for artificial intelligence (AI), linear algebra, optimization theory, and control theory. This method is an important tool that connects calculus and linear algebra. It is actively used in artificial intelligence algorithms including principal component analysis (PCA). Therefore, it is desired that instructors motivate students who first encounter this method in college calculus. In this paper, we provide an integrated perspective for instructors to teach the method of Lagrange multipliers effectively. First, we provide visualization materials and Python-based code, helping to understand the principle of this method. Second, we give a full explanation on the relation between Lagrange multiplier and eigenvalues of a matrix. Third, we give the proof of the first-order optimality condition, which is a fundamental of the method of Lagrange multipliers, and briefly introduce the generalized version of it in optimization. Finally, we give an example of PCA analysis on a real data. These materials can be utilized in class for teaching of the method of Lagrange multipliers.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1A
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• pp.125-133
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• 2008

According to longer and longer span, dynamic instability of stay cable should be prevented. Dynamic instability occurs mainly symmetric 1st mode and antisymmetric 1st mode in stay cable. Especially symmetric 1st mode has a lot of influence on sag. Therefore fundamental frequency of stay cable is different from that of taut sting. Irvine, Triantafyllou, Ahn etc. analyzed dynamic behavior of taut cable with sag through analytical technical and their researches give important results for large bounds of Irvine parameter. But each research shows mutually different values out of characteristic (cross-over or mode-coupled) point and each solution of frequency equations of all researchers can be very difficultly found because of their very high non-linearity. Presented study focuses on fundamental frequency of stay cable. Generalized mechanical energy with symmetric 1st mode vibration shape satisfied boundary conditions is evolved by Rayleigh-Ritz method. It is possible to give linear analytic solution within characteristic point. Error by this approach shows only below 3% at characteristic point against existing researches. And taut cable don't exceed characteristic point. I.e. high accuracy, easy solving techniques, and a little bit limitations. Therefore presented study can be announced that it is good study ergonomically.

• Journal of Korean Tunnelling and Underground Space Association
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• v.11 no.2
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• pp.151-162
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• 2009

This study proposes a new methodology for quantitative rock classification in unsampled rock zone, which occupies the most of tunnel design area. This methodology is to train an ANN (artificial neural network) by using results from a drilling investigation combined with electric resistivity survey in sampled zone, and then apply the trained ANN to making a prediction of grade of rock classification in unsampled zone. The prediction is made at the center point of a shifting window by using a number of electric resistivity values within the window as input reference information. The ANN training in this study was carried out by the RPROP (Resilient backpropagation) training algorithm and Early-Stopping method for achieving a generalized training. The proposed methodology is then applied to generate a rock grade distribution on a real tunnel site where drilling investigation and resistivity survey were undertaken. The result from the ANN based prediction is compared with one from a conventional kriging method. In the comparison, the proposed ANN method shows a better agreement with the electric resistivity distribution obtained by field survey. And it is also seen that the proposed method produces a more realistic and more understandable rock grade distribution.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3B
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• pp.279-289
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• 2006

The reconstruction of low dimension nonlinear behavior from the hydrologic time series has been an active area of research in the last decade. In this study, we present the applications of a powerful state space reconstruction methodology using the method of Support Vector Machines (SVM) to the Great Salt Lake (GSL) volume. SVMs are machine learning systems that use a hypothesis space of linear functions in a Kernel induced higher dimensional feature space. SVMs are optimized by minimizing a bound on a generalized error (risk) measure, rather than just the mean square error over a training set. The utility of this SVM regression approach is demonstrated through applications to the short term forecasts of the biweekly GSL volume. The SVM based reconstruction is used to develop time series forecasts for multiple lead times ranging from the period of two weeks to several months. The reliability of the algorithm in learning and forecasting the dynamics is tested using split sample sensitivity analyses, with a particular interest in forecasting extreme states. Unlike previously reported methodologies, SVMs are able to extract the dynamics using only a few past observed data points (Support Vectors, SV) out of the training examples. Considering statistical measures, the prediction model based on SVM demonstrated encouraging and promising results in a short-term prediction. Thus, the SVM method presented in this study suggests a competitive methodology for the forecast of hydrologic time series.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2B
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• pp.111-120
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• 2009

A local scour around a bridge pier is known as one of important factors of bridge collapse. Two approaches are usually used in estimating a scour depth in practice. One is to use empirical formulas, and the other is to use computational methods. But the use of empirical formulas is limited to predict a scour depth under similar conditions to which the formulas were derived. Computational methods are currently too expensive to be applied to practical engineering problems. This study presented the application of artificial neural networks (ANN) to the prediction of a scour depth around a bridge pier at an equilibrium state. This study also investigated various ANN algorithms for estimating a scour depth, such as Backpropagation Network, Radial Basis Function Network, and Generalized Regression Network. Preliminary study showed that ANN models resulted in very wide range of errors in predicting a scour depth. To solve this problem this study incorporated cluster analysis into ANN. The incorporation of cluster analysis provided better estimations of scour depth up to 42% compared with other approaches.

• Korean Journal of Psychosomatic Medicine
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• v.31 no.2
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• pp.118-124
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• 2023

Objectives : Depressive disorder and anxiety disorder frequently co-occur, even at sub-threshold level. This study aims to identify network structure of co-morbid depression and anxiety at symptom level in nonclinical population and to reveal the central symptoms and bridge symptoms of the co-morbidity. Methods : This study was based on 2022 Asan Youth Mental Health Screening. Patient health questionnaire (PHQ-9) and Generalized anxiety disorder scale (GAD-7) were used to assess depressive and anxiety symptoms of 810 young adult participants from community sample. Network structure of co-morbid depressive and anxiety symptoms was estimated by Isingfit model. Results : Depressed mood, Restlessness and Nervousness were the most central symptoms in the network. Bridge symptoms between anxiety and depression were Restlessness and Irritability. Conclusions : This study revealed key central symptoms and bridge symptoms of co-morbid depression and anxiety in nonclinical population and provided potential insight for treatment targets to reduce co-morbidity.

• Korean Journal of Psychosomatic Medicine
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• v.31 no.2
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• pp.79-88
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• 2023

Objectives : Cancer diagnosis causes significant distress while it may also bring positive change: post-traumatic growth. This study was conducted to analyze factors that affect post-traumatic growth. Methods : Medical records of 52 cancer patients who received psychiatric treatment at a university hospital in Seoul were reviewed and the correlation between post-traumatic growth and following factors were analyzed: Resilience, Anxious thoughts and tendencies, Mindful attention awareness, Acceptance attitude Results : Using Multiple Generalized Linear model, a positive correlation was found between post-traumatic growth and resilience (B=1.45, p<0.0001), mindful attention awareness (B=0.58, p=0.0030) and acceptance attitude (B=1.29, p=0.0003), while anxious thoughts and tendencies (B=-0.84, p<0.0001) had negative association. Conclusions : Factors that have a positive impact on post-traumatic growth were resilience, mindful attention awareness, acceptance attitude and a factor with a negative impact was anxious thoughts and tendencies; Factors that impact post-traumatic growth need to be taken into account, when approaching the treatment of cancer patients.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.875-883
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• 2023

In this letter, we used PlanetScope imagery to conduct experiments on the color characteristics for oil type classification of marine oil spills through Red-Green-Blue (RGB) histogram analysis. The histograms of marine oil spills can be divided into three categories (dark black tones, light silver tones, and light rainbow tones) according to the distribution of pixel values in each band. Thick oil layers with dark black tones can be classified as heavy oil, while thin oil layers with light silver and rainbow tones can be classified as light oil. As more images are analyzed in the future, these oil spill detection and classification methods will become more generalized and reliable.