• (The)Study of the Eastern Classic
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• no.62
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• pp.263-289
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• 2016

Confucius, whose life coincided with the Warring States period of China, is one of the most respected sages in world history whose teachings and life produced countless disciples in China, Korea, and Japan. There are innumerable pictures, sculptures, and other artworks that portray memorable deeds of Confucius and interesting anecdotes that involve his pupils. One of the most popular subjects for these Confucian portrayals is the anecdote in which Confucius and his pupil, Zhi Ru, discover a tilting vessel at an ancestral shrine in the Lu dynasty and use it to understand the doctrine of the mean. The vessel becomes the basis for the famous Chinese expression, "the cautionary vessel beside one's seat," which is nowadays used to denote one's motto for life. Portraits of these tilting vessels can be divided between those showing the vessels only and others that show Confucius observing the vessels. The former serve as visual reminders, for rulers and policy makers, of the doctrine of the mean that is necessary to fair and righteous governance. The latter form part of the pictorial biography of Confucius with educational content and messages. Interestingly, portraits of Confucius observing or studying tilting vessels have been famous among members of the royal court and the literati, circulated either as single artworks or included in the folding screens of human portraits. Portrayals of other Confucian anecdotes are mostly found in albums that visualize the genealogy of the Way; in contrast, the portraits of Confucius and the tilting vessels were included in folding screens that were popular among the literati that enjoyed stylish works of art and antiques. The portraits of tilting vessels thus highlight the diverse functions and symbolic value of human portraits. This study classifies the portraits of tilting vessels into various forms, and analyzes the period-and objective-dependent changes and characteristics in these portraits. With its exploration of the diverse functions and aspects of portraits of Confucian anecdotes, this study will shed new light on how ancient artists reanimated the lives of great sages and how these artworks differ in their expressions and styles.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.6
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• pp.1325-1336
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• 2012

In the past about 10 different kinds of malicious code were found in one day on the average. However, the number of malicious codes that are found has rapidly increased reachingover 55,000 during the last 10 year. A large number of malicious codes, however, are not new kinds of malicious codes but most of them are new variants of the existing malicious codes as same functions are newly added into the existing malicious codes, or the existing malicious codes are modified to evade anti-virus detection. To deal with a lot of malicious codes including new malicious codes and variants of the existing malicious codes, we need to compare the malicious codes in the past and the similarity and classify the new malicious codes and the variants of the existing malicious codes. A former calculation method of the similarity on the existing malicious codes compare external factors of IPs, URLs, API, Strings, etc or source code levels. The former calculation method of the similarity takes time due to the number of malicious codes and comparable factors on the increase, and it leads to employing fuzzy hashing to reduce the amount of calculation. The existing fuzzy hashing, however, has some limitations, and it causes come problems to the former calculation of the similarity. Therefore, this research paper has suggested a new comparison method for malicious codes to improve performance of the calculation of the similarity using fuzzy hashing and also a classification method employing the new comparison method.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.332-345
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• 2020

This study sought to explore the demand in the social service sector and present policy implications, focusing on the vulnerable in rural villages exposed to worse conditions amid the Covid-19 crisis. To this end, the social service needs of vulnerable groups by household type were analyzed by utilizing the raw data of the 2018 Survey on Rural Well-Being. Analysis showed that the greatest demand social services for all rural villages, the elderly, the disabled, one-person, one elderly and low-income households were income support services, while in household that included children the demand was for childcare and education-related services. The second-highest social services in terms of demand were cultural leisure vacation support services for all rural villages, healthcare-related services for the elderly, the disabled, one elderly and low-income households, cultural leisure vacation support services for households including children and daily life support services for single-person households. Based on these results, a measure was proposed to support social services, tailored to vulnerable groups in rural villages. In addition, the government's lack of a consultation system between urban and rural welfare policies, such as a basic plan for health and welfare in rural villages, led this paper to discuss the need for a feedback function and dedicated formulation of mid- to long-term policies in rural villages. It also proposed the establishment of conditions for providing customized social services for rural villages.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.804-813
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• 2021

The purpose of this study was on the learning satisfaction of dental hygiene students according to the face-to-face and non-face-to-face teaching methods in the COVID-19 educational environment. A self-reported questionnaire was completed by 122 dental hygiene students of G University located in Gwangju from October to November, 2020. The general characteristics, instructional characteristics, teaching methods, and learning satisfaction were investigated, and the collected data were analyzed using SPSS 18.0. The effective practical teaching method chosen by the students was face-to-face, and there was a significant difference according to the class choice. The learning satisfaction according to the general characteristics showed a significant difference in the preferred practice method for improving instrument technique. The face-to-face classes showed significantly higher learning satisfaction in terms of checking on doing well study during class and the convenience. In addition, as a result of analyzing the factors influencing learning satisfaction, the choice of face-to-face class was confirmed as a significant variable. Therefore, in order to increase the learning satisfaction of students, it is necessary to design a class that essentially includes face-to-face class when planning a practice class.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.676-684
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• 2021

This study examined how much Korean male middle school students used YouTube to determine if the social support from parents, teachers, and friends might moderate the relationships between YouTube overuse and internalizing and externalizing problems. Three hundred and twenty male middle school students completed questionnaires asking about their YouTube use, levels of YouTube addiction, internalizing and externalizing behaviors, and the degree of social support from parents, teachers, and friends. The results indicated that the YouTube addiction was positively related to the levels of internalizing and externalizing problems. Parental support moderated the relationships between YouTube addiction and internalizing problems. On the other hand, the moderating effects of teachers' or friends' supports were not significant. In contrast, teachers' support was the most crucial moderating factor regarding externalizing problems, while parental and friends' supports were only related to delinquency but not to aggression. These results suggest that the role of parental or teacher supports should be unique depending on the types of problem behaviors. Furthermore, the 'protective effects' of social support were not found in the highly addicted group, suggesting that the early prevention of YouTube overuse is a crucial intervention.

• Journal of Music and Human Behavior
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• v.17 no.2
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• pp.29-56
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• 2020

The purpose of this study was to develop and validate an imagery-focused music listening program for improving emotion regulation among infertile women. For the program development in this study, the literature on emotional issues and coping strategy of infertile women was analyzed to establish theoretical foundation; and the literature on Supportive Music and Imagery (SMI) was analyzed to identify intervention components. Based on the established theoretical framework, the program was developed and finalized after evaluation of validity by four SMI professionals. The developed program was found to systematically target changes in emotions in the step-wise process of discovery, reinforcement, and affirmation of positive emotional resources. The list of music for future use was also identified and presented after systematic analysis of musical features in relation to valence and arousal of emotions. The imagery-focused music listening program was an initial approach to infertile women with SMI, which indicates the possibility of extended application for broadened clinical population.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.4
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• pp.19-32
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• 2021

It is well known that any maintenance works for aircrafts must be carried out strictly in accordance with the specified maintenance manuals, especially for military airplanes. According to our previous studies, the largest portion of the maintenance jobs for military aircrafts is found to be related to the assembly/disassembly of various parts, which requires precise understanding of the work procedures as well as correlation between interconnected parts let alone grasping of the exact shapes of parts involved. However, the conventional manuals for aircraft maintenance have failed to provide enough information required for the efficient maintenance except for simple texts and vague pictures, which are far from being sufficient sets of information. On the contrary, unlike incomplete conventional manuals with poor contents, 3D modeling SW could provide us with not only powerful visualization tool even to see through inside any assembly but also freedom to watch parts under test from any angle we want. In addition, the maintenance personnels could learn the precise maintenance procedures through repeatedly watching 3D animated version of the maintenance work as if they were on the field. In this study, we have suggested the efficient procedures to develop 3D manual for aircraft maintenance using 3D modeling SW, Solidworks and implemented a 3D maintenance manual for Integrated Drive Generator(IDG) in Boeing 747. Characteristics of the developed 3D manual has been analyzed in comparison with the conventional ones as well. It is shown that the suggested method could be easily applied to develop a 3D maintenance manual for commercial airplanes since the maintenance works involving assembly/disassembly of major parts are very similar regardless of aircraft types.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.321-334
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• 2021

In this study, in order to analyze the effect of the consumption value of goods on the purchase intention of corporate brand products, the model was tested using SPSS 21.0 and Smart PLS 3.0 by receiving questionnaires from 457 men and women who have purchased goods. After examining the consumption values of goods, such as limited, functional, aesthetic, hedonistic, innovative, and social ego values, and product satisfaction, the effect on purchase intention of corporate brand products was analyzed. All were found to be significant except for innovative value, and product satisfaction had a significant effect on brand attachment and purchase intention of corporate brand products. We have recently redefine goods according to the trend of the times, and put an academic significance on the first classification of goods into four categories: human brand goods, brand goods, tourism goods, and character goods. It was confirmed that there was a partial difference in consumption value and satisfaction according to the type of goods. Through research, it is intended to broaden the understanding of goods and suggest the possibility of effective and useful marketing by suggesting planning and development directions according to the target.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.45-51
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• 2022

Fear of contact exists due to the prevention of the spread of infectious diseases such as COVID-19. When using the common entrance door of an apartment, access is possible only if the resident enters a password or obtains the resident's permission. There is the inconvenience of having to manually enter the number and password for the common entrance door to enter. Also, contactless entry is required due to COVID-19. Due to the development of ICT, users can be easily identified through the development of face recognition and voice recognition technology. The proposed method detects a visitor's face through a CCTV or camera attached to the common entrance door, recognizes the face, and identifies it as a registered resident. Then, based on the registered information of the resident, it is possible to operate without contact by interworking with the elevator on the server. In particular, if face recognition fails with a hat or mask, the visitor is identified by voice or additional authentication of the visitor is performed based on the voice message. It is possible to block the spread of contagiousness without leaving any contactless function and fingerprint information when entering and exiting the front door of an apartment house, and without the inconvenience of access.