• Maritime Security
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• v.1 no.1
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• pp.215-240
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• 2020

In 2017, the U.S. DARPA coined 'mosaic warfare' as a new way of warfighting. According to the Timothy Grayson, director of DARPA's Strategic Technologies Office, mosaic warfare is a "system of system" approach to warfghting designed around compatible "tiles" of capabilities, rather than uniquely shaped "puzzle pieces" that must be fitted into a specific slot in a battle plan in order for it to work. Prior to cover mosaic warfare theory and recent development, it deals analyze its background and several premises for better understanding. The U.S. DoD officials might acknowledge the current its forces vulnerability to the China's A2/AD assets. Furthermore, the U.S. seeks to complete military superiority even in other nation's territorial domains including sea and air. Given its rapid combat restoration capability and less manpower casualty, the U.S. would be able to ready to endure war of attrition that requires massive resources. The core concept of mosaic warfare is a "decision centric warfare". To embody this idea, it create adaptability for U.S. forces and complexity or uncertainty for the enemy through the rapid composition and recomposition of a more disag g reg ated U.S. military force using human command and machine control. This allows providing more options to friendly forces and collapse adversary's OODA loop eventually. Adaptable kill web, composable force packages, A.I., and context-centric C3 architecture are crucial elements to implement and carry out mosaic warfare. Recently, CSBA showed an compelling assessment of mosaic warfare simulation. In this wargame, there was a significant differences between traditional and mosaic teams. Mosaic team was able to mount more simultaneous actions, creating additional complexity to adversaries and overwhelming their decision-making with less friendly force's human casualty. It increase the speed of the U.S. force's decision-making, enabling commanders to better employ tempo. Consequently, this article finds out and suggests implications for Korea armed forces. First of all, it needs to examine and develop 'mosaic warfare' in terms of our security circumstance. In response to future warfare, reviewing overall force structure and architecture is required which is able to compose force element regardless domain. In regards to insufficient defense resources and budget, "choice" and "concentration" are also essential. It needs to have eyes on the neighboring countries' development of future war concept carefully.

• Industry Promotion Research
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• v.7 no.2
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• pp.43-49
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• 2022

This study aims to study Esping-Anderson's theory of welfare state system, develop a model of welfare state suitable for Korea's situation, and apply it to reality. In this research method, basic research and analysis of ideology is used, focusing on Esping-Anderson's welfare state system theory, and applying it appropriately to the Korean situation. Studies on the model of the welfare state have been studied after the classification of complementary and institutional models asserted by Willensky and Lebo in 1965. In addition, Esping-Andersen asserts three things as a model of the welfare state according to ideology. First, the role of the market is central to the liberal welfare system that best fits the image of classical capitalism, and individualistic solidarity through the market. The role of the state or family, which can be a hindrance, is actually marginalized. In addition, in order to maximize individualistic solidarity through the market, de-commodification in the national domain tends to be minimized. Second, the conservative welfare system has a strong familistic element, so the source of social solidarity is the family, and the state plays a role of supporting and supplementing the characteristics of this family. In the conservative system, de-commodification appears to be high among household heads, or the welfare system takes on a corporatist and nationalistic form, it can be said that these characteristics are reflected. Third, in the social democratic welfare system, the source of social solidarity is the state. Therefore, the role of the state is large, the state has a high possibility of decommodification, and it has the characteristics of substitutes for the family and the market through universalist intervention. This study applies Esping-Anderson's three welfare state models to study a model suitable for the Korean situation. In conclusion, Esping-Anderson's three welfare state models can be classified into a market-oriented model based on a liberal welfare system, a status-oriented model based on a conservative corporatist welfare system, and a solidarity-oriented model based on a social-democratic welfare system, presented a compromise between liberalism and conservatism as a Korean model.

• Journal of Popular Narrative
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• v.26 no.2
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• pp.9-37
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• 2020

The present study examines the transnational "Hallyu" (the Korean wave) phenomenon after the 1990s in the context of a solidarity movement of East Asian women. It also focuses on the passion for the world stage given the cultural industry was supported by the government as a "chimney-less factory" during the IMF financial crisis. Over the past twenty years and through Hallyu 1.0, Hallyu 2.0, and Hallyu 3.0, "K-entertainment" has been advocated, as a concept that encompasses K-drama, K-pop, etc. in the cultural industry. Furthermore, everything Korean, through K-culture, is being put at the forefront. However, there is insufficient discussion regarding the actions of the women who led the Korean wave. This paper examines the female fans and girl groups who played leading roles in the rise of popular culture and its transnational prominence within the context of the female agency and female labor involved. The lack of acknowledgment of their roles is linked to the current erasure of the discussion on the female youth. Discussion on "woman" is still limited to the domain of reproduction in the generational discussion that has replaced the existing nation-state or class led discussions in the current era of neoliberalism. However, since The reboot or the popularity of feminism in recent years, the interest in the female narrative, in works such as 'Kim Ji-young, Born 1982' has been expanding beyond East Asia to the rest of the world. Just as Hallyu was created by women in the beginning, there is a new trend in which women across national borders are joining in solidarity. As such, the present study attempts to prove that the female fan, girl group, and female youths must be one meta-narrative through a feminist reading, rather than individuals with separate identities.

• Journal of Popular Narrative
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• v.27 no.2
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• pp.107-142
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• 2021

Emergence of new media platform had changed relationship between the broadcaster and the viewer, which used to form 'performer-audience' structure. This research has focused on the transition of 'streamer-viewer' role in single-media broadcasting, such as Youtube or Twitch, and identify how they progress group storytelling as a team. Walter Benjam and Leslie Marmon Silko's notion of 'story and storyteller' and Erving Goffman's 'social role theory' was used to define participants' role in new media broadcasting. channel, on Youtube, was selected and analyzed as example case. The domain of 'front stage' was broadened in recorded contents comparing to live streaming. The audience of live streaming is included to the front stage during the expansion. The role of streamer, game participant, and live stream contents viewer is also adjusted during the change, which leads to group-creation of the contents. Streamer plays a role of main-storyteller and suggest identity of the community. Game participants work as sub-storyteller, filling in the blank space in game storytelling and making it sophisticated. They also perform based on community's identity, which streamer has built in advance. Lastly, live steam viewers are intermittent sub-storyteller, which seldom add up the narrative. Though, their main role is to preserve identity of game broadcasting community by reacting according to community's identity. As a result, the game broadcasting narrative is developed by combining and adding up pieces of story made in different level and role of participants. The research redefine the role of viewer and storytelling method in new media, especially in single-person broadcasting. Considering the rapid shift in recent media and contents, a new approach to the streamer-veiwer role and group storytelling of this research can be one of the new method to analyze contents produced in new media, such as Youtube.

• Journal of The Korean Association For Science Education
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• v.42 no.1
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• pp.127-147
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• 2022

Pre-service science teacher education is important to elaborate the quality of science teaching and learning in schools. Therefore, many pre-service science teacher education researches have been done in Korea. However, almost no research has comprehensively reviewed those literatures including secondary teacher education context. This study reviewed 410 pre-service science teacher education researches in Korea, from 1995 to 2021 published by 17 journals in KCI. The trends were analyzed with respect to the number of article according to period, keyword frequency, and qualitative features. The qualitative features were coded in multiple aspects of pre-service teachers' type, major, subject-matter in research context, research approach, data type, and the number of participants. The results indicate that the number of research articles has increased by about 40 for every 5-year period. JKASE has published most articles, and the diversity of journals has increased since 2010. Keyword frequency revealed that scientific concepts, science teaching efficacy, nature of science, and other teaching and learning contexts were emphasized. In qualitative features, the most frequent pre-service type was secondary in 'general' science context. For research topic, 'pre-service teacher education program' and 'perception and cognitive domain' were the most frequent. Most of the articles have 'analyzed' the phenomena or consequence of educational issue. Most research was conducted with 11 to 30 participants. These patterns of qualitative features have differed according to period, and types of pre-service teacher. Suggestions for the future pre-service science teacher education research topic were explored, such as policy-administrative research, integrated science teacher education, teacher agency, and environmental education.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.127-146
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• 2022

Recently, as word embedding has shown excellent performance in various tasks of deep learning-based natural language processing, researches on the advancement and application of word, sentence, and document embedding are being actively conducted. Among them, cross-language transfer, which enables semantic exchange between different languages, is growing simultaneously with the development of embedding models. Academia's interests in vector alignment are growing with the expectation that it can be applied to various embedding-based analysis. In particular, vector alignment is expected to be applied to mapping between specialized domains and generalized domains. In other words, it is expected that it will be possible to map the vocabulary of specialized fields such as R&D, medicine, and law into the space of the pre-trained language model learned with huge volume of general-purpose documents, or provide a clue for mapping vocabulary between mutually different specialized fields. However, since linear-based vector alignment which has been mainly studied in academia basically assumes statistical linearity, it tends to simplify the vector space. This essentially assumes that different types of vector spaces are geometrically similar, which yields a limitation that it causes inevitable distortion in the alignment process. To overcome this limitation, we propose a deep learning-based vector alignment methodology that effectively learns the nonlinearity of data. The proposed methodology consists of sequential learning of a skip-connected autoencoder and a regression model to align the specialized word embedding expressed in each space to the general embedding space. Finally, through the inference of the two trained models, the specialized vocabulary can be aligned in the general space. To verify the performance of the proposed methodology, an experiment was performed on a total of 77,578 documents in the field of 'health care' among national R&D tasks performed from 2011 to 2020. As a result, it was confirmed that the proposed methodology showed superior performance in terms of cosine similarity compared to the existing linear vector alignment.

• Korean Association of Arts Management
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• no.58
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• pp.5-47
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• 2021

This paper is a story about five middle-aged men in their 50s who suddenly began their photographic activities as they reached middle age. In the perspective of Borudieu's cultural capital theory, this study observes five men in their 50s by implementing in-depth interviews about the motivation behind taking photographs, the experience of photography activities, and the rewards of these activities. The theory has undergone a theoretical revision with the criticism that factors other than the class can be influential. Based on these ideas, I have proceeded my study by preferentially grasping the notion of the 'field' in accordance with the specific history of Korean society. Therefore, this study sought to more specifically understand the various photographic activities of middle-class men in their 50s by referring Coskuner-Balli and Thompson's argument(2013), which revised 2018's cultural captial theory and proposed the concept of 'subordinate cultural capital' and 'leisure capital' who proposed by Backlund, E. A. & Kuentzel, W. F.(2013). As a middle-class men in their 50s, research participants have grown up and worked in a social atmosphere where economic capital is recognized as an individual's ability. However, they are faced with the value that the knowledge and taste towards culture and arts is one's identity. In addition to the subjective deprivation that arises from this situation, the lifespan characteristic of their age that it is on the brink of the old age appeared to have influenced them to put their psychological motivation immediately into practice. Economic capital was the main conversion terms to move form interest to practice, which includes 'time' as a resource as well as money. With the cultural practices being expanded since their creation of photographs, the reason that these expansions can be maintained more actively lies in their identity as 'cultural artist' that is consolidated in new relationships in the sharing of photographic activities. In this way, photographic activities grant a symbolic status of 'a middle-aged man who actively builds and expresses his identity' through the conversion of accumulating cultural capital and the conversion into social capital. Furthermore, the recognized scope of the symbolic capital acquired by the research participants is in the domain of the private life that is family and acquaintance. Especially, they were gaining a great psychological reward from their children's recognition that they are not just a 'breadwinner' but 'dad who cultivates himself with a culture and arts'. Accordingly, by considering that 'generation' other than class can be a meaningful discussion point when understanding Korea society from the perspective of cultural theory, this study is meaningful that a more flexible understanding of cultural theory can give a glimpse into the possibility of a more specific and diverse approach that will arise in the discussion of culture and arts education.

• Journal of the Korean Chemical Society
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• v.66 no.1
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• pp.42-49
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• 2022

Many elementary school teachers' lack of scientific knowledge reveal as several problems in teaching science. Thus, elementary school teachers need to improve their scientific knowledge, but there is the limit to improve the teachers' scientific knowledge through activities based on lecture that conducted in process of training and retraining them. Therefore, Improvement for training science teacher to improve scientific knowledge of elementary school teachers would be searched in this study. Depth interview was conducted toward three elementary school teachers, who had conducted action research, to improve content knowledge of material domain within teaching process and elementary school science. Based on result of the interview, difficulty and development that the three teachers were commonly experienced in process of conducting scientific inquiry in action research were analyzed. One of the difficulties of the inquiry were to figure out how the three teachers, who participated in the interview, understand specific concept, what they do not understand, and what they should study more to understand the concept. And there was a circumstance that the teachers did not know how to apply procedural knowledge, which learned explicitly in the process of setting plan for conducting research, into real context. Since there was difference between knowledge that they understand disjunctively and context that observed in real circumstance, they faced difficulty. However, the teachers conducted analysis of topic, planning research, conducting research, discussion of the result by themselves with those difficulties Thus, the teachers mentioned that not only content knowledge had been improved, but understanding of procedural knowledge, which is not intended to improve, had been also improved. Besides, they also mentioned that comprehensive understanding content knowledge, which they already understood, was also helpful. And the teachers suggest that if there were chance to discuss and examine the scientific practices by consisting of group with colleagues rather than conducting it individually it would more efficient studying. Considering their suggestion, direction of training elementary school teachers for improving their scientific knowledge should be improved in a way to understand science concepts based on direct research about context that is generated in circumstance of studying group of the teachers. Consequently, it would contribute to improvement of teaching science by combining teachers' practice and understanding.

• Korean Journal of Plant Resources
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• v.35 no.4
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• pp.417-427
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• 2022

In this study, we investigated in vitro immuno-stimulatory and anti-obesity activity of fruit (LIF), leaves (LIL) and stems (LIS) from Lonicera insularis Nakai in mouse macrophages RAW264.7 cells and mouse pre-adipocytes 3T3-L1 cells. LIF, LIL and LIS increased the production of immunostimulatory factors such as nitric oxide (NO), inducible nitric oxide synthase (iNOS), interleukin-1β (IL-1β), cyclooxygenase-2 (COX-2), tumor necrosis factor-α (TNF-α) and activated phagocytosis in RAW264.7 cells. Inhibition of toll-like receptor 2/4 (TLR2/4) partly blocked LIF, LIL and LIS mediated production of immunostimulatory factors. In addition, inhibition of mitogen-activated protein kinases (MAPK) signaling attenuated the production of immunostimulatory factors induced by LIF, LIL and LIS. Based on these results of this study, LIF, LIL and LIS is thought to activate macrophages the production of immunostimulatory factors and phagocytosis through toll-like receptor 2/4 (TLR2/4) and MAPKs signaling pathway. In anti-obesity study, LIF reduced the lipid accumulation in 3T3-L1 cells. LIF increased the protein phosphorylation expressions such as AMP-activated protein kinase (AMPK), hormone sensitive lipase (HSL), adipose triglyceride lipase (ATGL) related to the lipolysis of the adipocytes. In addition, LIF increased the expression of proteins involved in energy metabolism and brown adipose tissues differentiation such as peroxisome proliferator-activated receptor gamma coativator 1α (PGC-1α) and PR domain-containing16 (PRDM16). These results suggest that LIF is involved in lipid accumulation inhibition through expressing the proteins such as lipolysis and differentiation of white adipocytes to brown adipocytes.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.249-263
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• 2023

Collaborative Filtering, a representative recommendation system methodology, consists of two approaches: neighbor methods and latent factor models. Among these, the latent factor model using matrix factorization decomposes the user-item interaction matrix into two lower-dimensional rectangular matrices, predicting the item's rating through the product of these matrices. Due to the factor vectors inferred from rating patterns capturing user and item characteristics, this method is superior in scalability, accuracy, and flexibility compared to neighbor-based methods. However, it has a fundamental drawback: the need to reflect the diversity of preferences of different individuals for items with no ratings. This limitation leads to repetitive and inaccurate recommendations. The Adaptive Deep Latent Factor Model (ADLFM) was developed to address this issue. This model adaptively learns the preferences for each item by using the item description, which provides a detailed summary and explanation of the item. ADLFM takes in item description as input, calculates latent vectors of the user and item, and presents a method that can reflect personal diversity using an attention score. However, due to the requirement of a dataset that includes item descriptions, the domain that can apply ADLFM is limited, resulting in generalization limitations. This study proposes a Generalized Adaptive Deep Latent Factor Recommendation Model, G-ADLFRM, to improve the limitations of ADLFM. Firstly, we use item ID, commonly used in recommendation systems, as input instead of the item description. Additionally, we apply improved deep learning model structures such as Self-Attention, Multi-head Attention, and Multi-Conv1D. We conducted experiments on various datasets with input and model structure changes. The results showed that when only the input was changed, MAE increased slightly compared to ADLFM due to accompanying information loss, resulting in decreased recommendation performance. However, the average learning speed per epoch significantly improved as the amount of information to be processed decreased. When both the input and the model structure were changed, the best-performing Multi-Conv1d structure showed similar performance to ADLFM, sufficiently counteracting the information loss caused by the input change. We conclude that G-ADLFRM is a new, lightweight, and generalizable model that maintains the performance of the existing ADLFM while enabling fast learning and inference.