• Journal of Korean Classical Literature and Education
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• no.35
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• pp.153-193
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• 2017

This study explores the creation and enjoyment of Kuwoonmong (九雲夢) using a reference system called the cultural imagination, which is related to the Yin-Yang (陰陽) and Wu Xing (五行). When Kim Manjung wrote Guwoonmong, he may have composed figures and events based on this imagination. In particular, when he designed the eight seonnyeo (팔선녀), he set the order such as Gap (甲), Eul (乙), Byeong (병), Jeong (丁), etc. and characterized them according to the celestial stem (天干). Thus it was easy to avoid overlapping of characters and to construct various stories and relationships between them. The table below shows the characters of Kuwoonmong corresponding to the celestial stem. In not only the individual person but also the narrative world, Kuwoonmon demonstrates Yin-Yang and Wu Xing's imagination. In this respect, Kuwoonmon can be considered a large symbol encompassing the abstract theory of Yin-Yang and Wu Xing. Of course, the writer, Kim, Manjung would not have tried to symbolize the principle intentionally. However, he was also present in the environment of the cultural imagination that has been formed over the years. The same is true for the contemporary recipients of Guwunmong. They would have had a pleasant experience applying the cultural imagination and strengthening their familiar world view and human view.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.147-157
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• 2022

This study tried to propose a smart farm technology strategy suitable for the domestic situation, focusing on the differentiation suitable for the domestic situation of ICT technology. In the case of advanced countries in the overseas agricultural industry, it was confirmed that they focused on the development of a specific stage that reflected the geographical characteristics of each country, the characteristics of the agricultural industry, and the characteristics of the people's demand. Confirmed that no enemy development is being performed. Therefore, in response to problems such as a rapid decrease in the domestic rural population, aging population, loss of agricultural price competitiveness, increase in fallow land, and decrease in use rate of arable land, this study aims to develop smart farm ICT technology in the future to create quality agricultural products and have price competitiveness. It was suggested that the smart farm should be promoted by paying attention to the excellent performance, ease of use due to the aging of the labor force, and economic feasibility suitable for a small business scale. First, in terms of economic feasibility, the ICT technology is configured by selecting only the functions necessary for the small farm household (primary) business environment, and the smooth communication system with these is applied to the ICT technology to gradually update the functions required by the actual farmhouse. suggested that it may contribute to the reduction. Second, in terms of performance, it is suggested that the operation accuracy can be increased if attention is paid to improving the communication function of ICT, such as adjusting the difficulty of big data suitable for the aging population in Korea, using a language suitable for them, and setting an algorithm that reflects their prediction tendencies. Third, the level of ease of use. Smart farms based on ICT technology for the development of the Industry6.0 (1.0(Agriculture, Forestry) + 2.0(Agricultural and Water & Water Processing) + 3.0 (Service, Rural Experience, SCM)) perform operations according to specific commands, finally suggested that ease of use can be promoted by presetting and standardizing devices based on big data configuration customized for each regional environment.

• Journal of The Korean Association For Science Education
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• v.43 no.3
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• pp.253-263
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• 2023

This study explored the discrepancy between the text of a teacher's guide about straight and reflective light and the content knowledge of pre-service elementary teachers. A total of 455 questions and 543 answers generated by 279 pre-service elementary teachers after reading a 'Shadow and Mirror' unit in the teacher's guide were analyzed. The questions were classified according to the types of concepts and discrepancies, and the answers were analyzed for accuracy. The results of analyzing the concepts of questions revealed that the pre-service elementary teachers were most curious about the shadow in the straight concept, the mirror image in the reflection concept, and the light source in other concepts. The questions with a low correct answer rate due to incorrect- or non-answers, such as those concerning the superposition principle of light by reflection, the principle of experimental tools, and images by lenses, were only partially or not included in the teacher's guide. When the questions were classified according to the type of discrepancy, the frequency of questions due to knowledge deficit was higher than that due to knowledge clash. This demonstrates that the concepts that teachers need to know must be supplemented with the contents of the teacher's guide. Discrepancies due to knowledge clashes are often caused by conflicts between what is experienced in everyday life and what is presented in textbooks. Therefore, it is necessary to reduce the discrepancy between the texts of the teacher's guide and the knowledge of pre-service elementary teachers by including the differences between the actual context of everyday life and the context of the textbook in the teacher's guide.

• The Journal of Korean Philosophical History
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• no.28
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• pp.237-266
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• 2010

This thesis is to check whether the modernization, promoted mainly in 1960-1970 of Korea may have the relations with Confucian values or have a gap between this and that, and have the question about the idea of the appearance of modernity under Park Jung-hee's government, which is based on the viewpoint that Confucianism would have been made ill use of or have contribution to the nation-directing modernity, especially to the modernization of people. In a sense this thesis demands the overcome of the modern ills such as social dichotomy, leaving out matters of locals, and neglecting the diversities and singularities of creatures, resulted from efficiencies and uniformity caused by nation-centralism. At first Confucianism have represented humanism with a view to finding the mean between the two of locals, affairs, and men. As such it has seek to find centrality, which means my real mind for meeting outward things or the optimum as the mean, the best state between of the two. The political doctrines modified from Confucian learnings including chung, hyo, samgang, and oryun worked as the mechanism for finding nation-directing modernity. As a result we have lived in the modernity, strengthened by nation-centralism. And the leading concepts in related with Neo-Confucianism had people lose their spaces of desire for their own future or got them to be narrow. Accordingly the modernization of Korea means not an integral space in which we can achieve what we want in various aspects, but a deficient space to be complemented, resulted from the centralization of all conditions of life, dichotomous way of approaching matters by nation-centralism, far from being the essence of Confucianism. In the end the rapid modernization by the leaders in Korea has given rise to the concentration politics, economy, and so forth on Seoul as the center. Then we should deeply reflect the deficiency state of centralism like this and how Confucianism would have been responsible for it and will give how to relieve the unequal centralism of nation. Now for this matter we would like to expect our study in the future.v

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.