• 비교문화연구
• /
• 제42권
• /
• pp.313-342
• /
• 2016

본고는 촉한(蜀漢)의 무장(武將)에서 출발하여 신(神)으로 추앙받고 있는 관우의 생명력을 역대 왕조의 정치적 측면에서 찾았다. 관우는 위진남북조(魏晉南北朝) 시대에는 일개 장군으로 묘사되었지만, 수당(隋唐) 시대를 거치며 무성왕묘(武成王廟) 종사(從祀)를 통해 국가 사전(祀典)에 편입되었고, 다시 송원(宋元)시대에는 '후(侯)'에서 '공(公)'으로, 다시 '공(公)'에서 '왕(王)'으로 신분의 급상승을 이루었다. 관우 신격화가 절정에 이른 명청(明淸) 시대에 이르면, '왕(王)'을 넘어 '제(帝)'로 등극하면서 삼계(三界)를 통섭하는 최고의 권능을 부여받게 된다. 그는 백성에서부터 사대부에 이르기까지 생활신앙과 도덕 정신에 영향을 미쳤고, 결국은 정신적 수호신(守護神)으로 존재할 수 있었다. 역사상 통치자가 관우(關羽)에게 내린 봉호(封號)는 다양했지만, 그 속에는 국가의 재난 해소와 봉건통치의 유지와 보호라는 정치적 필요성이 깔려 있었다.

• 비교문화연구
• /
• 제47권
• /
• pp.101-129
• /
• 2017

본고는 관우(關羽) 신격화(神格化)가 일종의 문화현상으로 발전하게 된 것은 역사상 관우의 충의무용(忠義武勇)과 함께 민중들이 갈망하는 영웅출현의 심리작용, 그리고 그것을 적극적으로 활용한 종교계의 활동과 긴밀하게 연관되었음을 전제로 한다. 이를 토대로 본고는 유(儒) 불(佛) 도(道) 삼교가 관우 신격화 과정에서 어떻게 종교적으로 활용하고 있는 지 그 양상을 살피는 것을 목적으로 하고 있다. 관우신(關羽神)은 유 불 도교에 있어서 독특한 경로를 밟으며 뿌리를 내렸다. 즉, 불교(佛敎)에서는 사찰(寺刹)을 지키는 '가람신(伽藍神)'으로 격상시키면서 토착화에 성공하였고, 도교(道敎)에서는 악마를 쫓고 재난과 고통에서 벗어나게 해주는 '삼계복마대제(三界伏魔大帝)'의 만능수호신(萬能守護神)으로 활용되었으며, 유교(儒敎)에서는 '유장(儒將)' 관우 이미지를 공자의 춘추대의(春秋大義)와 연결하여 '존왕양이(尊王攘夷)'라는 시대정신으로 재창조하였다. 즉 나라를 수호하는 충의(忠義)의 무신(武神)으로 삼아 이를 국가 통치 질서 확립의 수단으로 삼았음을 확인할 수 있었다.

• Communications for Statistical Applications and Methods
• /
• 제26권1호
• /
• pp.57-67
• /
• 2019

Income distribution is a major concern in economic theory. In regional economics, it is often of interest to compare income distributions in different regions. Traditional methods often compare the income inequality of different regions by assuming parametric forms of the income distributions, or using summary statistics like the Gini coefficient. In this paper, we propose a nonparametric procedure to test for heterogeneity in income distributions among different regions, and a K-means clustering procedure for clustering income distributions based on energy distance. In simulation studies, it is shown that the energy distance based method has competitive results with other common methods in hypothesis testing, and the energy distance based clustering method performs well in the clustering problem. The proposed approaches are applied in analyzing data from China Health and Nutrition Survey 2011. The results indicate that there are significant differences among income distributions of the 12 provinces in the dataset. After applying a 4-means clustering algorithm, we obtained the clustering results of the income distributions in the 12 provinces.

• 중국학논총
• /
• 제68호
• /
• pp.235-251
• /
• 2020

This study collected and intensively analyzed the works and remains in Namwon(南原) province by Liu Ting(劉綎) of Ming Dynasty during the Imjin War (the Japanese invasion in 1592-1598; 壬辰倭亂). Liu Ting engraved characters on the rocks as passing by the Yeowon hill(女院峙) twice. A local official of Namwon built a memorial stone at the guest residence of Namwon district to appreciate the contribution of Liu Ting to care for the local people. During the second Japanese invasion in 1597-1598(丁酉再亂), Liu Ting often climbed up the Yongdu pavilion(龍頭亭) located at Mt. Yongtu(龍鬪山) and fell in love with the splendid scenery while enjoying fishing at Jogi(釣磯). Immediately after the war, Liu Ting renovated the Guanwang Shrine(關王廟) in Namwon and built the memorial stone claiming that he defeated the Japanese army with the divine power from Guanyu(關羽).

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권12호
• /
• pp.3815-3835
• /
• 2022

Density-based outlier detection is one of the hot issues in data mining. A point is determined as outlier on basis of the density of points near them. The existing density-based detection algorithms have high time complexity, in order to reduce the time complexity, a new outlier detection algorithm DODMD (Density-based Outlier Detection in Multidimensional Datasets) is proposed. Firstly, on the basis of ZH-tree, the concept of micro-cluster is introduced. Each leaf node is regarded as a micro-cluster, and the micro-cluster is calculated to achieve the purpose of batch filtering. In order to obtain n sets of approximate outliers quickly, a greedy method is used to calculate the boundary of LOF and mark the minimum value as LOF_min. Secondly, the outliers can filtered out by LOF_min, the real outliers are calculated, and then the result set is updated to make the boundary closer. Finally, the accuracy and efficiency of DODMD algorithm are verified on real dataset and synthetic dataset respectively.

• Ocean Systems Engineering
• /
• 제8권3호
• /
• pp.313-327
• /
• 2018

Meeting the touchdown point (TDP) target box is one of the challenges during catenary riser installation, especially for deep water or ultra-deep water riser systems. TDP location mismatch compared to the design can result in variation of riser configuration, additional hang-off misalignment, and extra bending loads going into the hang-off porch. A good understanding of the key installation parameters can help to minimize this mismatch, and ensure that the riser global response meets the design criteria. This paper focuses on investigating the potential factors that may affect the touchdown point location, and addressing the challenges both in the design stage and during installation campaign. Conventionally, the vessel offset and current are the most critical factors which may affect the TDP movement during installation. With the offshore exploration going deeper and deeper in the sea (up to 10,000ft), other sources such as the seabed slope and seabed soil stiffness are playing an important role as well. The impacts of potential sources are quantified through case studies for steel catenary riser (SCR) and lazy wave steel catenary riser (LWSCR) in deep water application. Investigations through both theoretical study and numerical validation are carried out. Furthermore, design recommendations are provided during execution phase for the TDP mismatch condition to ensure the integrity of the riser system.

• ETRI Journal
• /
• 제39권5호
• /
• pp.662-671
• /
• 2017

Coronary artery disease (CAD) is a major cause of death in the world. As a non-invasive imaging modality, computed tomography angiography (CTA) is now usually used in clinical practice for CAD diagnosis. Precise quantification of coronary stenosis is of great interest for diagnosis and treatment planning. In this paper, a novel cluster method based on a Modified Student's t-Mixture Model is applied to separate the region of vessel lumen from other tissues. Then, the area of the vessel lumen in each slice is computed and the estimated value of it is fitted with a curve. Finally, the location and the level of the most stenoses are captured by comparing the calculated and fitted areas of the vessel. The proposed method has been applied to 17 clinical CTA datasets and the results have been compared with reference standard degrees of stenosis defined by an expert. The results of the experiment indicate that the proposed method can accurately quantify the stenosis of the coronary artery in CTA.

• Journal of Power Electronics
• /
• 제19권2호
• /
• pp.529-539
• /
• 2019

The modular multilevel converter (MMC) has become a promising topology for high-voltage direct current (HVDC) transmission systems. To control a MMC system properly, the ac-side current, circulating current and submodule (SM) capacitor voltage are taken into consideration. This paper proposes a low-computation indirect model predictive control (IMPC) strategy that takes advantages of the conventional MPC and has no weighting factors. The cost function and duty cycle are introduced to minimize the tracking error of the ac-side current and to eliminate the circulating current. An optimized merge sort (OMS) algorithm is applied to keep the SM capacitor voltages balanced. The proposed IMPC strategy effectively reduces the controller complexity and computational burden. In this paper, a discrete-time mathematical model of a MMC system is developed and the duty ratio of switching state is designed. In addition, a simulation of an eleven-level MMC system based on MATLAB/Simulink and a five-level experimental setup are built to evaluate the feasibility and performance of the proposed low-computation IMPC strategy.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권9호
• /
• pp.2314-2333
• /
• 2023

It is significant to predict the performance degradation of complex electromechanical systems. Among the existing performance degradation prediction models, belief rule base (BRB) is a model that deal with quantitative data and qualitative information with uncertainty. However, when analyzing dynamic systems where observable indicators change frequently over time and working conditions, the traditional belief rule base (BRB) can not adapt to frequent changes in working conditions, such as the prediction of aeroengine performance degradation considering working condition. For the sake of settling this problem, this paper puts forward a new hidden belief rule base (HBRB) prediction method, in which the performance of aeroengines is regarded as hidden behavior, and operating conditions are used as observable indicators of the HBRB model to describe the hidden behavior to solve the problem of performance degradation prediction under different times and operating conditions. The performance degradation prediction case study of turbofan aeroengine simulation experiments proves the advantages of HBRB model, and the results testify the effectiveness and practicability of this method. Furthermore, it is compared with other advanced forecasting methods. The results testify this model can generate better predictions in aspects of accuracy and interpretability.