• The Journal of the Convergence on Culture Technology
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• 제7권4호
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• pp.113-122
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• 2021

This study begins on the basis of Jacques Lacan's article 『Logical Time and Assertions of Preemptive Certainty: A New Sophism』 published in the reissue of 『Art Note Les Cahiers d'Art』 in March 1945. In this paper, a guard presents an esoteric problem to three prisoners. If the problem is solved, the prisoner is released. A condition is given to solve a problem. Conversation between prisoners is prohibited, and the disc behind them cannot be seen. In this time and space, prisoners place themselves in logical time through the 'time of understanding' in order to become the chosen ones. We always live in logical time. We will argue the point at which Lacan destroys logical time in psychoanalysis. Time in Lacanian psychoanalysis transcends time divisions of the past, present, and future. Our time is always the past in the present. In Lacanian psychoanalysis, logical time is the time in the Other. The transcendence of the Lacanian psychoanalysis concept of time shows the deviation of logical time. In this text, We try to prove how Lacan contrasts psychoanalysis and the problem of time with time in the other. First, we will examine how logical time and impulse are related in psychoanalysis. Second, the postmortemity of the signifient (signifier) will be discussed. Third, Lacan psychoanalysis will present the transcendence of time. In conclusion, We will present the view that the time of Lacan psychoanalysis is flowing backwards. In Lacanian psychoanalysis, we try to prove that logical time is in the territory of the Other and is infinite time.

• Journal of Christian Education in Korea
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• 제69권
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• pp.45-75
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• 2022

The purpose of this study is to explore the implementation of Bibliodrama on the metaverse platforms. In other words, to create interesting and effective Bible education for modern learners, this study took a didactical approach to the implementation of Bibliodrama through the metaverse. The main reason to be enthusiastic about using the metaverse for education is because users, who have been only content consumers, now able to experience and create values. As a Bible didactical approach, Bibliodrama is a an emphatical and communicative learning method in the form of role play. Bibliodrama seeks to interact with the world of the learner and the world of the Bible through improvisational acting, to study the Bible. Through the Bible didactical approach, the meeting of Bibliodrama and the metaverse can have a positive effect on modern learners, in terms of improving learning environment and, above all else, increasing learning interest. In terms of biblical didactics, implementing Bibliodrama in the metaverse has the following advantages. First, it helps to construct a dramatic situation and environment so that the meaning of the biblical text can be proved relevant to today's learners, not something belonging to the past. Second, in the metaverse, the historical space and characters of the Bible can be realized in virtual reality to produce a 'situational play'. Demonstrating freedom, imagination and creativity in the metaverse learners play in Bibliodrama. This way they also become aware of the hidden meaning of the blank pages in the Bible. Third, the metaverse environment is not static but dynamic and interactive; Bibliodrama pursues an interpretation that harmonizes spirit and body. Therefore, through the dynamic activities of discovering the meaning and significance of the Bible, it is possible to form a holistic faith in which spirit and body act as one.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.248-254
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• 2022

Educational innovations are first created, improved or applied educational, didactic, educative, and managerial systems and their components that significantly improve the results of educational activities. The development of pedagogical technology in the global educational space is conventionally divided into three stages. The role of innovative technologies in Higher School practice is substantiated. Factors of effectiveness of the educational process are highlighted. Technology is defined as a phenomenon and its importance is emphasized, it is indicated that it is a component of human history, a form of expression of intelligence focused on solving important problems of being, a synthesis of the mind and human abilities. The most frequently used technologies in practice are classified. Among the priority educational innovations in higher education institutions, the following are highlighted. Introduction of modular training and a rating system for knowledge control (credit-modular system) into the educational process; distance learning system; computerization of libraries using electronic catalog programs and the creation of a fund of electronic educational and methodological materials; electronic system for managing the activities of an educational institution and the educational process. In the educational process, various innovative pedagogical methods are successfully used, the basis of which is interactivity and maximum proximity to the real professional activity of the future specialist. There are simulation technologies (game and discussion forms of organization); technology "case method" (maximum proximity to reality); video training methodology (maximum proximity to reality); computer modeling; interactive technologies; technologies of collective and group training; situational modeling technologies; technologies for working out discussion issues; project technology; Information Technologies; technologies of differentiated training; text-centric training technology and others.

• Journal of the Daesoon Academy of Sciences
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• 제25_1집
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• pp.1-22
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• 2015

This paper took Jeonkyeong (典經) of Daesunjinrihoe(大巡眞理會) as the basic text and studied how Kangjeungsan(姜甑山), the Sangje (上帝), had embraced Chinese myth in process of formation of his religious thought focusing on Yan Emperor(炎帝) Shennong(神農) myth and Shanrangang(禪讓) myth (namely Danchu myth). First when we examine the myth surrounding Kangjeungsan's birth, it deeply emraced a feeling-birth myth(感生神話), we could realize that this is a universe motif through myth of hero birth in East Asia. Further judging from the analysis of geographic space of Kangjeungsan's activity, it included a variety of mythical and Daoist related place names. I think this is because of the fact that birth place of Kangjeungsan and the surrounding area is the locality of Xian(仙) tradition where major characters of Danhak sect(丹學派) have been turned out, and that Korean way of Xian suppressed by the regulatory system has been widely rooted in the public. Especially it's interesting that Jeungsan, the pen name of Kangjeungsan, ambiguously connotes Siru mountain(甑山), a place of his training, and the spiritual realm of the 『Zhouyicantongqi(周易參同契)』. Then I examined the God of fire Shennong myth which has been actively admitted and embraced by Kangjeungsan. Kangjeungsan put the root of his pedigree on Shennong and there is a close affinity between Shennong and Dongyi(東夷) such as Buyeo(夫餘), Goguryeo(高句麗), etc. These Dongyi spirits are losers against the Chinese major myth and beings of ressentiment. At the same time the predecessor of Jiutianyingyuanleishengpuhuatianzun(九天應元雷聲普化天尊) who shares mythical characteristics with the God of fire Shennong was a formerly Taishi(太師) Wenzhong(聞仲) of Yin(殷) dynasty. He was defeated and died by Zhou(周) dynasty, and was deified. The fact that Kangjeungsan regarded himself as a descendent of Shennong and possessed divinity of Jiutianyingyuanleishengpuhuatianzun connotes that he represents all beings of ressentiment such as family of Yin and Dongyi. However, Kangjeungsan set a religious milestone by turning revenge for such ressentiment at tribe level into religious sublimation. At the end Shanrang myth which has been critically embraced by Kangjeungsan was reviewed. According to the existing Shanrang myth, Danchu(丹朱) was unworthy and not succeeded in the succession to the throne. Then good natured Emperor Shun(舜) succeeded to the throne from Emperor Yao(堯). However, the reality of Shanrang myth was a violent change of sovereign power and Danchu was a victim in the process of such violent change. Kangjeungsan shrewdly grasped the reality of ancient China and cast light on presence of Danchu. And he emphasized the need of religious sublimation of revenge, Haewon(解冤). His such awareness of culture had a close relation with revisionist standpoint of independent Danhak sect expressing a skeptical glance at systematic, commensurate and authentic historical view of Chinese civilization. And further Kangjeungsan cosmologically and causationally reinterpreted revenge of Danchu. He established a universal salvation theology which has a corresponsive connotation in regard to embracement of Shennong myth. In conclusion, embracement of Chinese myth by Kangjeungsan was a creative work of reinterpretation resulting in an inherent religious connotation through a process of appropriation, that is independent and selective introjection.

• Journal of Popular Narrative
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• 제25권2호
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• pp.169-216
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• 2019

This study proposes the concept of Bachchin's Chronotope as a tool for analyzing coevolution between the genre of the epic and society. Bachchin says through the concept of chronotope, literary works are on the foundation on which the axs of time and space intersect, and the literary works standsuch intersections are always conversing with social and historical chronotopes and mutually penetrating. Thus, finding and analyzing chronotope in literary works and extended things such as films and dramas reveals how chronotope and chronotope of a society have created specific social realities through a process of resonance. To make analytical use of this concept, we proposed a "cronotope drama analysis method" and concretely analyzed the genre of Korean medical dramas. The naturalized categories of health care, health, and disease are socially constructed entities, and the analysis of public works that has a significant impact on this process of social construction is essential but was underperformed. According to the analysis, the Korean medical drama's "Chronotope" has evolved using "Chronotope of the school" and "Chronotope of the secret chamber". At this time, the genre of Chronotope was expanding spatially and converging in time. In other words, the influence of structures and systems within the genre has grown, and the capacity of individual actors has decreased. This change in chronotope was interpreted as resonating with the social reality of neo-liberalistic spatial expansion and simultaneous production. The neo-liberalistic trend that dominates Korean society has embraced the category of health care and was further influencing the chronotope of drama text. It can also be inferred that the popular understanding of health care produced by the medical drama genre has taken a break in the process of forming a social reality of health care again.

• Journal of the Korean Institute of Landscape Architecture
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• 제51권3호
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• pp.95-106
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• 2023

Korean healing research has developed over the past 20 years along with the growing social interest in healing. The field of healing research is diverse and includes legislated natural-based healing. In this study, abstracts of 2,202 academic journals, master's, and doctoral dissertations published in KCI and RISS were collected and analyzed. As for the research method, LDA topic modeling used to classify research topics, and time-series publication trends were examined. As a result of the study, it identified that the topic of Korean healing research was connected with 5 types and 4 mediators. The five were "Healing Tourism," "Mind and Art Healing," "Forest Therapy," "Healing Space," and "Youth Restoration and Healing," and the four mediators were "Forest," "Nature," "Culture", and "Education". In addition, only legalized healing studies extracted from Korean healing research and the topics were analyzed. As a result, legalized healing research classified into four. The four types were "Healing Spatial Environment Plan", "Healing Therapy Experiment", "Agricultural Education Experiential Healing", and "Healing Tourism Factor". Forest Therapy, which has the largest amount of research in legalized healing, Agro Healing and Garden Healing which operate similar programs through plants, and Marine Healing using marine resources also analyzed. As a result, topics that show the unique characteristics of individual healing studies and topics that are considered universal in all healing studies derived. This study is significant in that it identified the overall trend of research on Korean healing facilities and programs by utilizing LDA topic modeling.

• Journal of Environmental Impact Assessment
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• 제32권6호
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• pp.556-576
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• 2023

This study attempted to find a way to utilize idle spaces in rural areas as a way to respond to rural extinction. Based on the keywords "startup," "youth start-up," and "youth start-up+rural," start-up+rural," the study sought to identify the perception of idle facilities in rural areas through the keywords "Idle facilities" and "closed schools." The study presented basic data for policy direction and plan search by reviewing frequency analysis, major keyword analysis, network analysis, emotional analysis, and domestic and foreign cases. As a result of the analysis, first, it was found that idle facilities and school closures are acting importantly as factors for regional regeneration. Second, in the case of youth startups in rural areas, it was found that not only education on agriculture but also problems for residence should be solved together. Third, in the case of young people, it was confirmed that it was necessary to establish digital utilization for agriculture by actively starting a business using digital. Finally, in order to attract young people and revitalize the region through best practices at home and abroad, policy measures that can serve as various platforms such as culture and education as well as startups should be presented in connection with local residents. These results are significant in that they presented implications for youth start-ups in rural areas by reviewing start-up recognition for the influx of young people as one of the alternatives for the use of idle facilities and regional regeneration, and if additional solutions are presented through field surveys, they can be used to set policy goals that fit the reality.

• Journal of the Korean Institute of Landscape Architecture
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• 제52권1호
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• pp.34-45
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• 2024

Companion animals are increasingly being recognized as members of society in outdoor public spaces. However, the presence of dogs in cities has become a subject of conflict between pet owners and non-pet owners, causing problems in terms of hygiene and noise. This study was conducted to analyze public complaint data using the keywords 'dog,' 'pet,' and 'puppy' through text mining techniques to identify the causes of conflicts in outdoor public spaces related to dogs and to identify key issues. The main findings of the study are as follows. First, the majority of dog-related complaints were related to the use of outdoor public spaces. Second, different types of outdoor public spaces have different spatial issues. Third, there were a total of four topics of dog-related complaints: 'Requesting a dog playground', 'Raising safety issues related to animals', 'Using facilities other than dog-only areas', and 'Requesting increased park management and enforcement related to pet tickets'. This study analyzed the perceptions of citizens surrounding pets at a time when the creation and use of public spaces related to pets are expanding. In particular, it is significant in that it applied a new method of collecting public opinions by adopting complaint data that clearly presents problems and requests.

• Journal of Intelligence and Information Systems
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• 제22권1호
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• pp.139-157
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• 2016

Bankruptcy involves considerable costs, so it can have significant effects on a country's economy. Thus, bankruptcy prediction is an important issue. Over the past several decades, many researchers have addressed topics associated with bankruptcy prediction. Early research on bankruptcy prediction employed conventional statistical methods such as univariate analysis, discriminant analysis, multiple regression, and logistic regression. Later on, many studies began utilizing artificial intelligence techniques such as inductive learning, neural networks, and case-based reasoning. Currently, ensemble models are being utilized to enhance the accuracy of bankruptcy prediction. Ensemble classification involves combining multiple classifiers to obtain more accurate predictions than those obtained using individual models. Ensemble learning techniques are known to be very useful for improving the generalization ability of the classifier. Base classifiers in the ensemble must be as accurate and diverse as possible in order to enhance the generalization ability of an ensemble model. Commonly used methods for constructing ensemble classifiers include bagging, boosting, and random subspace. The random subspace method selects a random feature subset for each classifier from the original feature space to diversify the base classifiers of an ensemble. Each ensemble member is trained by a randomly chosen feature subspace from the original feature set, and predictions from each ensemble member are combined by an aggregation method. The k-nearest neighbors (KNN) classifier is robust with respect to variations in the dataset but is very sensitive to changes in the feature space. For this reason, KNN is a good classifier for the random subspace method. The KNN random subspace ensemble model has been shown to be very effective for improving an individual KNN model. The k parameter of KNN base classifiers and selected feature subsets for base classifiers play an important role in determining the performance of the KNN ensemble model. However, few studies have focused on optimizing the k parameter and feature subsets of base classifiers in the ensemble. This study proposed a new ensemble method that improves upon the performance KNN ensemble model by optimizing both k parameters and feature subsets of base classifiers. A genetic algorithm was used to optimize the KNN ensemble model and improve the prediction accuracy of the ensemble model. The proposed model was applied to a bankruptcy prediction problem by using a real dataset from Korean companies. The research data included 1800 externally non-audited firms that filed for bankruptcy (900 cases) or non-bankruptcy (900 cases). Initially, the dataset consisted of 134 financial ratios. Prior to the experiments, 75 financial ratios were selected based on an independent sample t-test of each financial ratio as an input variable and bankruptcy or non-bankruptcy as an output variable. Of these, 24 financial ratios were selected by using a logistic regression backward feature selection method. The complete dataset was separated into two parts: training and validation. The training dataset was further divided into two portions: one for the training model and the other to avoid overfitting. The prediction accuracy against this dataset was used to determine the fitness value in order to avoid overfitting. The validation dataset was used to evaluate the effectiveness of the final model. A 10-fold cross-validation was implemented to compare the performances of the proposed model and other models. To evaluate the effectiveness of the proposed model, the classification accuracy of the proposed model was compared with that of other models. The Q-statistic values and average classification accuracies of base classifiers were investigated. The experimental results showed that the proposed model outperformed other models, such as the single model and random subspace ensemble model.

• Journal of Intelligence and Information Systems
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• 제24권3호
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• pp.221-241
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• 2018

As we enter the knowledge society, the importance of information as a new form of capital is being emphasized. The importance of information classification is also increasing for efficient management of digital information produced exponentially. In this study, we tried to automatically classify and provide tailored information that can help companies decide to make technology commercialization. Therefore, we propose a method to classify information based on Korea Standard Industry Classification (KSIC), which indicates the business characteristics of enterprises. The classification of information or documents has been largely based on machine learning, but there is not enough training data categorized on the basis of KSIC. Therefore, this study applied the method of calculating similarity between documents. Specifically, a method and a model for presenting the most appropriate KSIC code are proposed by collecting explanatory texts of each code of KSIC and calculating the similarity with the classification object document using the vector space model. The IPC data were collected and classified by KSIC. And then verified the methodology by comparing it with the KSIC-IPC concordance table provided by the Korean Intellectual Property Office. As a result of the verification, the highest agreement was obtained when the LT method, which is a kind of TF-IDF calculation formula, was applied. At this time, the degree of match of the first rank matching KSIC was 53% and the cumulative match of the fifth ranking was 76%. Through this, it can be confirmed that KSIC classification of technology, industry, and market information that SMEs need more quantitatively and objectively is possible. In addition, it is considered that the methods and results provided in this study can be used as a basic data to help the qualitative judgment of experts in creating a linkage table between heterogeneous classification systems.