• The Journal of Korean Philosophical History
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• no.50
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• pp.75-111
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• 2016

This paper examines the standard codes (Gangnyung: 綱領), basis of the study of Chunchu in Chunchuhak tradition during Chosun dynasty, through Park Sechae's Chunchubopyeon. The author aims to uncover the common awareness of, or an agreed view of, Chunchu among scholars of Chosun dynasty. Since Chunchubopyeon represents the Neo-Confucian understanding of Chunchu, it can be argued that the Gangnyung section of this book contained the standard codes which formed the basis of Chunchu studies. Of five key themes in Gangnyung, this paper addresses two in detail, and . The first argues that Chunchu is the grand principle of governing the world; a living law which drives the reality. The second theme, through a detailed recording of Chunchu, examines the grand principle of Chunchu. When studies after the present paper address the remaining themes in Gangnyung, it is expected that an access to the general characteristics or features of Chunchuhak during Chosun dynasty will be granted.

• Journal of Internet of Things and Convergence
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• v.7 no.2
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• pp.41-45
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• 2021

This paper proposes a video content delivery scheme for vehicles. Today, we spend a lot of time commuting to work in vehicles such as trains and cars. In addition, the number of users who enjoy video content such as YouTube and Netflix in order to appease the boredom in the vehicle is increasing rapidly. Video content requires a larger amount of data usage than text-based content. Hence, the user's mobile communication data usage increases rapidly along with the cost. The proposed video content delivery scheme downloads a lot of video content in advance when the vehicle is in a free Wi-Fi area. In this way, it is possible to play video content in a vehicle at a low cost. It is expected that the proposed scheme can be applied to the Internet of Things(IoT) for moving objects.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.389-399
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• 2021

In recent years, word embedding has been a popular field of natural language processing research and a skip-gram has become one successful word embedding method. It assigns a word embedding vector to each word using contexts, which provides an effective way to analyze text data. However, due to the limitation of vector space model, primary word embedding methods assume that every word only have a single meaning. As one faces multi-sense words, that is, words with more than one meaning, in reality, Neelakantan (2014) proposed a multi-sense skip-gram (MSSG) to find embedding vectors corresponding to the each senses of a multi-sense word using a clustering method. In this paper, we propose a modified method of the MSSG to improve statistical accuracy. Moreover, we propose a data-adaptive choice of the number of clusters, that is, the number of meanings for a multi-sense word. Some numerical evidence is given by conducting real data-based simulations.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.29-34
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• 2021

With the advent of the 4th industrial revolution era, IT technology is creating new services that have not existed by converging with various existing industries and fields. In particular, in the field of artificial intelligence, chatbots and the latest technologies have developed dramatically with the development of natural language processing technology, and various business processes are processed through chatbots. This study is a study on a system that provides a close answer to the question the user wants to find by creating a structural form for legal inquiries through Slot Filling-based chatbot technology, and inputting a predetermined type of question. Using the proposal system, it is possible to construct question-and-answer data in a more structured form of legal information, which is unstructured data in text form. In addition, by managing the accumulated Q&A data through a big data storage system such as Apache Hive and recycling the data for learning, the reliability of the response can be expected to continuously improve.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.282-300
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• 2021

The purpose of this study was to explore what social media posts tell us about family life during the COVID-19 pandemic by examining the keywords and topics underlying posts on blogs and online forums. Our criteria for web crawling were (a) blog and forum posts on Naver and Daum, the top portal sites in Korea, (b) posts between February 23 and April 19, 2020, the period of the first heightened social distancing orders, and (c) inclusion of "COVID" and "family" or "COVID" and "home." We analyzed 351,734 posts using TF-IDF values and topic modeling based on latent Dirichlet allocation. We identified and named 22 topics including COVID-19 prevention, family infection, family health, dietary life and changes, religious life, stuck at home, postponed school year, family events, travel and vacations, concerns about family and friends, anxiety and stress, disaster and damage, COVID-19 warning text messages, family support policies, Shin-cheon-ji and Daegu. The results show that COVID-19 impacted various domains of family life including health, food, housing, religion, child care, education, rituals, and leisure as well as relationships and emotions.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.35-44
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• 2020

In this study, we analyze how stock trend determination affects trend prediction accuracy. In stock markets, successful investment requires accurate stock price trend prediction. Therefore, a volume of research has been conducted to improve the trend prediction accuracy. For example, information extracted from SNS (social networking service) and news articles by text mining algorithms is used to enhance the prediction accuracy. Moreover, various machine learning algorithms have been utilized. However, stock trend determination has not been properly analyzed, and conventionally used methods have been employed repeatedly. For this reason, we formulate the trend determination as a moving average-based procedure and analyze its impact on stock trend prediction accuracy. The analysis reveals that trend determination makes prediction accuracy vary as much as 47% and that prediction accuracy is proportional to and inversely proportional to reference window size and target window size, respectively.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.387-403
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• 2021

The purpose of this study is to design a community-based career education app for college students. Currently, career education in universities has various problems. First, career education is not systemized, second, satisfaction of participating students is not high, and third, competency-based career education is not conducted. Designing a community-based career education app for college students will solve the problem of lack of college career education instructors and increase the satisfaction of students participating in career education. To this end, core values were derived through the results of demand surveys, literature analysis, and network text analysis for college students, and a prototype of the app was devised according to the design of the rapid prototype. The career education program to be used in the app was designed by dividing online and offline activities so that university students can execute them in units of learning communities. Through the first and second usability evaluation and expert evaluation, the final prototype was designed and the app screen was designed.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.289-300
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• 2021

SNS data was collected and analyzed by topic modeling techniques to examine recent trends in information education. By deriving keywords and topics for SW education and AI education, we not only attempted to discover insights ahead of the next revised curriculum but also suggested directions. According to the SNS data analysis, the contents of human resource development for software and the instructional method in schools are indicated as a high requirement. Meanwhile, SW education should be conducted through a separate curriculum from elementary school, and this was consistent with the opinion that it is necessary to be organized as a required subject. There was an opinion to support the schools since AI education is newly introduced in next revised national curriculum. The trends in SW education and AI education which are observed through SNS data analysis could be concluded to conduct the substantial operation of information education and curriculum organization.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1355-1362
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• 2021

Recently, not only congenital hearing impairment, but also the number of people with hearing impairment due to acquired factors is increasing. The environment in which sign language can be learned is poor. Therefore, this study intends to present a sign language (sign language number/sign language text) evaluation system as a sign language learning assistance tool for sign language learners. Therefore, in this paper, sign language is captured as an image using OpenCV and Convolutional Neural Network (CNN). In addition, we study a system that recognizes sign language behavior using MediaPipe, converts the meaning of sign language into text-type data, and provides it to users. Through this, self-directed learning is possible so that learners who learn sign language can judge whether they are correct dez. Therefore, we develop a sign language learning assistance system that helps us learn sign language. The purpose is to propose a sign language learning assistance system as a way to support sign language learning, the main language of communication for the hearing impaired.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.208-222
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• 2022

This study analyzes how Princess Deokhye's photos before entering elementary school were exploited in newspapers during the Japanese colonial period by introducing Roland Barthes' semiological methodology for analysis of photography. In the early 1920s, the Japanese imperialists actively exploited Princess Deokhye, who was about to enter elementary school, to propagate their education policy. The Maeil Shinbo cooperated with their policies by publishing photos and articles of Princess Deokhye. In this paper, 2 photos and articles published in Maeilshinbo were analyzed. As a result, it was found that messages were produced that justified Japanese education policy by using various rhetorical techniques of photography and texts complementary to each other, and that the readers were induced to accept them naturally. In conclusion, it was possible to reveal the seriousness of the problem in that these articles were not merely for propaganda of policy, but were to encourage the disappearance of the traditional values of Joseon.