• Journal of Legislation Research
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• no.53
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• pp.61-107
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• 2017

It has been seventy-two years since the Korean Peninsular was divided into South and North Korea. When Korea was liberated from Japanese colonial rule in August 1945, the South and North established a capitalist system and a socialist system (communism) respectively, intensifying the ideological conflict and confrontation. The division of Korea was not confined to political and economical aspects, but extended to legal system, making it difficult to find legislative homogeneity in the two. The long-term situation of the divided nation results in a social phenomenon accompanied by legal division. For instance, shortly after its liberation from Japan's colonial rule, North Korea responded quickly to secure legal stability to govern the northern part while the Soviet army troops were stationed in it. Based on Marx and Engels' historical materialism, the North drove a change in its ideological superstructure by repealing the privatization of land property which was the means of production and finally enforced land nationalization, in common with other socialist states including the former Soviet Union. The North's land reform made under the guise of fulfilling national independence and doing away with anti-seigneurial and anti-feudalistic relations, has led to a wide difference in the systems between the South and Korea. This paper focuses on the legal systems of South and North Korea and is aimed at exploring the legal characteristics and environment of the North which became secluded from the world while engaging in socialist experiments for the past seventy two years against capitalism. Ongoing studies of legal system integration will be briefly discussed. The legal status of South and North Korea as a political entity will be investigated to overcome legal system division; and the characteristics of South-North relationship in legal terms and the limitations of the North's legal system will be also examined. Moreover, the directions for integrating legal systems and the plan for resolving legal system division will be suggested.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.617-628
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• 2022

A ground support pattern should be designed by properly integrating various support materials in accordance with the rock mass grade when constructing a tunnel, and a technical decision must be made in this process by professionals with vast construction experiences. However, designing supports at the early stage of tunnel design, such as feasibility study or basic design, may be very challenging due to the short timeline, insufficient budget, and deficiency of field data. Meanwhile, the design of the support pattern can be performed more quickly and reliably by utilizing the machine learning technique and the accumulated design data with the rapid increase in tunnel construction in South Korea. Therefore, in this study, the design data and ground exploration data of 48 road tunnels in South Korea were inspected, and data about 19 items, including eight input items (rock type, resistivity, depth, tunnel length, safety index by tunnel length, safety index by rick index, tunnel type, tunnel area) and 11 output items (rock mass grade, two items for shotcrete, three items for rock bolt, three items for steel support, two items for concrete lining), were collected to automatically determine the rock mass class and the support pattern. Three machine learning models (S1, A1, A2) were developed using two machine learning algorithms (SVR, ANN) and organized data. As a result, the A2 model, which applied different loss functions according to the output data format, showed the best performance. This study confirms the potential of support pattern design using machine learning, and it is expected that it will be able to improve the design model by continuously using the model in the actual design, compensating for its shortcomings, and improving its usability.

• Journal of The Korean Association For Science Education
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• v.41 no.5
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• pp.371-390
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• 2021

The purpose of this study is to develop a neuropsychological model for the spatial ability factor and to divide the brain active area involved in the light & shadow problem solving process into the domain-general ability and the domain-specific ability based on the neuropsychological model. Twenty-four male college students participated in the study to measure the synchronized eye movement and electroencephalograms (EEG) while they performed the spatial ability test and the light & shadow tasks. Neuropsychological model for the spatial ability factor and light & shadow problem solving process was developed by integrating the measurements of the participants' eye movements, brain activity areas, and the interview findings regarding their thoughts and strategies. The results of this study are as follows; first, the spatial visualization and mental rotation factors mainly required activation of the parietal lobe, and the spatial orientation factor required activation of the frontal lobe. Second, in the light & shadow problem solving process, participants use both their spatial ability as a domain-general thought, and the application of scientific principles as a domain-specific thought. The brain activity patterns resulting from a participants' inferring the shadow by parallel light source and inferring the shadow when the direction of the light changed were similar to the neuropsychological model for the spatial visualization factor. The brain activity pattern from inferring an object from its shadow by light from multiple directions was similar to the neuropsychological model for the spatial orientation factor. The brain activity pattern from inferring a shadow with a point source of light was similar to the neuropsychological model for the spatial visualization factor. In addition, when solving the light & shadow tasks, the brain's middle temporal gyrus, precentral gyrus, inferior frontal gyrus, middle frontal gyrus were additionally activated, which are responsible for deductive reasoning, working memory, and planning for action.

• Korean Journal of Heritage: History & Science
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• v.48 no.3
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• pp.80-95
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• 2015

The purpose of this study is to establish an effective protection and management system for World Heritage (WH) nomination of Southwestern Coast Tidal Flat (SCTF) by proposing a model of protection and management. SCTF has a potential to become a representative best practice to achieve a sustainable development for human society. SCTF has a potential Outstanding Universal Values (OUVs) for WH nomination, thus a harmony between human and nature for wise use of natural resources needs to be pursued. It is required to present the system of SCTF's protection and management and to analyze present status of the regions in the Tentative List by comparing the case which were already inscribed as WH. For better protection of nominated areas, SCTF should expand an area for protection with additional designation. For the management system, two separate management systems such as the Department of Culture & Tourism and the Department of Oceans & Fisheries need to be reconciled. Because of this overlapping management structure, the management of the nominated sites has been inefficient and long-term management plan is lacking. Therefore, it is necessary to integrate conflicting management system of each local government and make a long-term, integrated management plan. To make an efficient and sustainable protection and management, it is essential to set up a collaboration system by integrating various stakeholders such as central and local governments, academic organizations, local residents, and NGOs. As in the case of Wadden Sea, the combined community system of the stakeholders mentioned above should be established. Because it is essential for local residents to understand a basic concepts for protection and management, it is necessary to establish capacity-building of local people. The protection and management structure should be set up by bottom-up processes, that is the proper structure shoud be based on thorough research on local society as well as thorough communication with local residents to make relevant laws and policies. This study also propose the proper plan for better conservation and management of SCTF.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.51-66
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• 2018

As AI (Artificial Intelligence) technologies have been swiftly evolved, a lot of products and services are under development in various fields for better users' experience. On this technology advance, negative effects of AI technologies also have been discussed actively while there exists positive expectation on them at the same time. For instance, many social issues such as trolley dilemma and system security issues are being debated, whereas autonomous vehicles based on artificial intelligence have had attention in terms of stability increase. Therefore, it needs to check and analyse major social issues on artificial intelligence for their development and societal acceptance. In this paper, multi-categorical sentiment analysis is conducted over online public opinion on artificial intelligence after identifying the trending topics related to artificial intelligence for two years from January 2016 to December 2017, which include the event, match between Lee Sedol and AlphaGo. Using the largest web portal in South Korea, online news, news headlines and news comments were crawled. Considering the importance of trending topics, online public opinion was analysed into seven multiple sentimental categories comprised of anger, dislike, fear, happiness, neutrality, sadness, and surprise by topics, not only two simple positive or negative sentiment. As a result, it was found that the top sentiment is "happiness" in most events and yet sentiments on each keyword are different. In addition, when the research period was divided into four periods, the first half of 2016, the second half of the year, the first half of 2017, and the second half of the year, it is confirmed that the sentiment of 'anger' decreases as goes by time. Based on the results of this analysis, it is possible to grasp various topics and trends currently discussed on artificial intelligence, and it can be used to prepare countermeasures. We hope that we can improve to measure public opinion more precisely in the future by integrating empathy level of news comments.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.89-115
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• 2019

This study was conducted to present the stylistic differences between Arthur Conan Doyle and Agatha Christie, famous as writers of classical mystery novels, through data analysis, and further to present the analytical methodology of the study of style based on text mining. The reason why we chose mystery novels for our research is because the unique devices that exist in classical mystery novels have strong stylistic characteristics, and furthermore, by choosing Arthur Conan Doyle and Agatha Christie, who are also famous to the general reader, as subjects of analysis, so that people who are unfamiliar with the research can be familiar with them. The primary objective of this study is to identify how the differences exist within the text and to interpret the effects of these differences on the reader. Accordingly, in addition to events and characters, which are key elements of mystery novels, the writer's grammatical style of writing was defined in style and attempted to analyze it. Two series and four books were selected by each writer, and the text was divided into sentences to secure data. After measuring and granting the emotional score according to each sentence, the emotions of the page progress were visualized as a graph, and the trend of the event progress in the novel was identified under eight themes by applying Topic modeling according to the page. By organizing co-occurrence matrices and performing network analysis, we were able to visually see changes in relationships between people as events progressed. In addition, the entire sentence was divided into a grammatical system based on a total of six types of writing style to identify differences between writers and between works. This enabled us to identify not only the general grammatical writing style of the author, but also the inherent stylistic characteristics in their unconsciousness, and to interpret the effects of these characteristics on the reader. This series of research processes can help to understand the context of the entire text based on a defined understanding of the style, and furthermore, by integrating previously individually conducted stylistic studies. This prior understanding can also contribute to discovering and clarifying the existence of text in unstructured data, including online text. This could help enable more accurate recognition of emotions and delivery of commands on an interactive artificial intelligence platform that currently converts voice into natural language. In the face of increasing attempts to analyze online texts, including New Media, in many ways and discover social phenomena and managerial values, it is expected to contribute to more meaningful online text analysis and semantic interpretation through the links to these studies. However, the fact that the analysis data used in this study are two or four books by author can be considered as a limitation in that the data analysis was not attempted in sufficient quantities. The application of the writing characteristics applied to the Korean text even though it was an English text also could be limitation. The more diverse stylistic characteristics were limited to six, and the less likely interpretation was also considered as a limitation. In addition, it is also regrettable that the research was conducted by analyzing classical mystery novels rather than text that is commonly used today, and that various classical mystery novel writers were not compared. Subsequent research will attempt to increase the diversity of interpretations by taking into account a wider variety of grammatical systems and stylistic structures and will also be applied to the current frequently used online text analysis to assess the potential for interpretation. It is expected that this will enable the interpretation and definition of the specific structure of the style and that various usability can be considered.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.1-17
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• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• Journal of Science Education
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• v.43 no.1
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• pp.157-172
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• 2019

The purpose of this study is to analyze the influence of number of targets on common knowledge generation and brain activity during the common life science discovery task performance. In this study, 35 preliminary life science teachers participated. This study was intentionally made a block designed for EEG recording. EEGs were collected while subjects were performing common discovery tasks. The sLORETA method and the relative power spectrum analysis method were used to analyze the brain activity difference and the role of activated cortical and subcortical regions according to the degree of difficulty of common discovery task. As a result of the study, in the case of the Theta wave, the activity of the Theta wave was significantly decreased in the frontal lobe and increased in the occipital lobe when the difficult difficulty task was compared with the easy difficulty task. In the case of Alpha wave, the activity of Alpha decreased significantly in the frontal lobe when performing difficult task with difficulty. Beta wave activity decreased significantly in the frontal lobe, parietal lobe, and occipital lobe when performing difficult task. Finally, in the case of Gamma wave, activity of Gamma wave decreased in the frontal lobe and activity increased in the parietal lobe and temporal lobe when performing the difficult difficulty task compared to the task of easy difficulty. The level of difficulty of the commonality discovery task is determined by the cingulate gyrus, the cuneus, the lingual gyrus, the posterior cingulate, the precuneus, and the sub-gyral where it was shown to have an impact. Therefore, the difficulty of the commonality discovery task is the process of integrating the visual information extracted from the image and the location information, comparing the attributes of the objects, selecting the necessary information, visual work memory process of the selected information. It can be said to affect the process of perception.

• The Korean Journal of Archival Studies
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• no.36
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• pp.35-67
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• 2013

As the office of crown properties expanded to financial structure having jurisdiction over various nation's purse in the Great Han Empire, its official document form has been changed. Unlike the early days, they had used official paper stamped with the words 'the Office of Crown Properties' eliminating 'Department of the Royal Household'. Also, the title on stamp of government position changed to 'Recipient of the Official of Crown Properties'. As the office of crown properties expanded as a great financial structure, it has grown in stature as an independent structure, and it was reflected in official document form. Such change was shown in document distribution system. The recipient of report from each district was the First Lord of Department of the Royal Household until 1897; however, the recipients of reports were mostly the office of Crown Properties from 1899. The Office of Crown Properties could not issue an official order before Aug 1899, since then the Office of Crown Properties had issued official orders to each district. However, the Office of Crown Properties could not handle the document in an equal position to the central organization yet. However, from Sep. 1900, the Office of Crown Properties handle the document with district organizations in equal position to the central organization, and a records office had been established in the Office of Crown Properties. Also, the Office of Crown Properties had handled official documents as an independent organization getting out of belonging organization to the department of Royal Household. Since the records office was established in Sep. 1900, the Office of Crown Properties had written receipt book autonomously. Comparing the receipt books in 1901 to the receipt books in 1905 and 1906, receipt numbers had been appeared from the book in 1905 and the organization in charge of the documents was recorded on some documents. Since no receipt book was found in 1902~1904, it is unknown when receipt number had been started indicating on the book. Seeing that the receipt number on the book of 1905 matched with contents on the receipt stamp, the receipt number has started indicating from around July, 1902; the period the receipt stamp has been started to use. Unlike the receipt stamp, the department in charge was indicated on the receipt book. It is because that the Office of Crown Properties changed writing system. Instead of classifying divisions, the Office of Crown Properties recorded in a book by order to receive, provided serial number, and wrote the department on the bottom of receipt book to classify by department in charge. Since establishment of the records office in Sep. 1900, the Office of Crown Properties had confirmed the receipt of document by stamping 'receipt of the Office of Crown Properties' and made receipt books as the office had started handled documents independently. Also, the Office of Crown Properties changed its system integrating division and recording in one book from the intial system classifying the book by division then receipt number and department in charge were indicated on the book. Also, receipt system has stabilized by stamping the receipt date and number on the received document.

• Korean Journal of Heritage: History & Science
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• v.54 no.2
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• pp.56-77
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• 2021

Toponyms are located not only in the site between human cognition and the physical environment but also in the name of cultural heritage. Accordingly, certain identities and ideologies for which human groups and community have sought, their holistic way of life, and all cultural symbols and cosmos, such as sense of place and genius loci, are included in their toponymic heritage. Denoting, symbolizing, integrating and representing the culture and nature belong to the human community. Based on these perceptions of the toponymic heritage, the aims of this article are to examine the values of a toponym as an Intangible Cultural Heritage (ICH) and to suggest the application methods using the toponymic functions for governing of tangible cultural heritage. This article discusses the multivocality, diversity, and non-representational theory of landscape phenomenology intrinsic to the terms of culture and cultural landscape and then the domestic and international issues on the toponymic heritage in the first chapter on the values of toponym as a part of the ICH. In particular, it analyzes the preceding research in the field of toponymy, as well as the Resolutions of UNCSGN and UNGEGN on "Geographical names as culture, heritage and identity" including indigenous, minority and regional language names since 1992, which is related to the UNESCO's Convention for the Safeguarding of the Intangible Cultural Heritage in 2003. Based on this, I suggest that the traits of toponymic cultural heritage and its five standards of selection, i.e., cultural traits of toponyms, historical traits, spatial traits, socio-economic traits and linguistic traits with some examples. In the second chapter discussing on the methods using the toponymic denoting functions for creating and governing of the tangible cultural heritage, it is underlined to maintain the systematic and unified principle regarding the ways of naming in the official cultural heritage and its governing. Lastly, I introduce the possible ways of establishing a conservative area of the historical and cultural environment while using the toponymic scale and multi-toponymic territory. Considering both the spatial and participatory turns in the field of heritage studies in addition to the multiple viewpoints and sense of cultural heritage, I suggest that the conservative area for the cultural heritage and the historical and cultural environment should be set up through choosing the certain toponymic scale and multi-toponymic territory.