• Art History and Visual Culture
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• no.22
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• pp.254-279
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• 2018

This essay traces the origin and the social function of medieval knights in Edwin Austin Abbey's murals ${\ll}$The Quest of the Holy Grail${\gg}$ in the Boston Public Library. Medieval knights in the Arthurian legend appeared in American novels at the end of 1850s and in political cartoons in the 1870s. They are featured in American Renaissance murals as well. ${\ll}$The Quest of the Holy Grail${\gg}$ painted in 1895 was the first of its kind. In Britain, the Pre-Raphaelites frequently painted medieval knights. Abbey fused the visual idiom of the Pre-Raphaelites and that of the Royal Academy of Arts in his depiction of knights. Unlike the Pre-Raphaelites, who usually focused on knights' activities, he emphasized their virtue. His representation of knights reflect the social and economic crises in America in the 1890s. After the Civil War, American society enjoyed economic prosperity but suffered from government corruption, economic inequality, and class conflict. Serious social problems such as poverty and inequality decayed American society. Writers and artists brought attention to these issues. This essay argues that Abbey criticized capitalists and expressed his hope for progress through the figure of Galahad as the iconic representation of civic virtue in ${\ll}$The Quest of the Holy Grail${\gg}$. Installed in the Boston Public Library, Abbey's murals performed a public function to warn the viewers of economic and social chaos resulting from government corruption. Abbey's American knights not only emphasized moral responsibility but also promoted patriotism. The artist refashioned medieval knights into American citizens, whose civic virtue became essential to an ideal leader in American society.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.351-357
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• 2021

IoT devices, which are used in various ways in distributed environments, are becoming more important in data transmitted and received from IoT devices as fields of use such as medical, environment, transportation, bio, and public places are diversified. In this paper, as a method to ensure the reliability of IoT data, an autoencoder-based IoT-linked processing technique is proposed to classify and process numerous data by various important attributes. The proposed technique uses correlation indices for each IoT data so that IoT data is grouped and processed by blockchain by characteristics for IoT linkage processing based on autoencoder. The proposed technique expands and operates into a blockchain-based n-layer structure applied to the correlation index to ensure the reliability of IoT data. In addition, the proposed technique can not only select IoT data by applying weights to IoT collection data according to the correlation index of IoT data, but also reduce the cost of verifying the integrity of IoT data in real time. The proposed technique maintains the processing cost of IoT data so that IoT data can be expanded to an n-layer structure.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.87-96
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• 2022

The Ministry of Land, Infrastructure and Transport has also been promoting the commercialization of land transport technology to commercialize the technologies owned by small and medium-sized venture companies, and to support the transfer and commercialization of public technologies. At this point, in order to improve the investment effect of subsequent new projects and to select excellent research institutes, it is necessary to establish a valid evaluation index system suitable for the purpose of the project. The evaluation index system for subsequent new projects should be linked to the project objectives and goals of the preceding project, and should be selected in consideration of existing evaluation indicators to prevent interruption of research results. Therefore, this thesis sets the evaluation index system into multiple scenarios through hierarchical cluster analysis using the evaluation result data for each evaluation committee for small and medium venture companies participating in the land transportation technology commercialization support project, and then analyzes the structural equation model. As a result of scenario analysis, considering the measurement effect of each path representing the causal relationship between evaluation indicators and the effect of each evaluation index on evaluation items, the scenario with the highest impact on the evaluation result was selected as an improvement plan.

• Journal of Industrial Convergence
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• v.21 no.6
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• pp.1-11
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• 2023

The purpose of this study is to verify the factors affecting corporate bankruptcy by using non-financial information of companies invested by credit guarantee institutions. In this study, 594 companies (525 normal companies, 69 insolvent companies) invested in by the Korea Credit Guarantee Fund from March 2014 to the end of December 2022 were selected as samples. Non-financial information of companies was divided into founder characteristics information, company characteristics information, and corporate investment information, and cross-analysis and logistic regression analysis were conducted. As a result of the cross-analysis, personal credit rating, industry, and joint investment were selected as significant variables, and logistic regression analysis was conducted for those variables, and two variables, personal credit rating and joint investment, were selected as important factors for bankruptcy. In business management, the founder's personal credit and the importance of joint investment in investment support were found out. It will help to minimize bankruptcy if institutions that support investment in SMEs reflect these results in their screening and systematically build cooperative relationships with private investment institutions. It is hoped that this study will provide an opportunity to pay more attention to the factors that affect the bankruptcy of companies that receive direct investment from public institutions.

• Land and Housing Review
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• v.14 no.2
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• pp.51-71
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• 2023

Based on the challenges encountered in the urban regeneration projects (general neighborhood-type) of Anjung District and Sinjang District in Pyeongtaek City, this study aims to explore the key factors of improvement measures for urban regeneration projects. Using the first survey conducted among shopping mall owners, employees, and residents, this study finds a significant level of awareness and very strong needs for urban regeneration projects. On the other hand, the overall satisfaction levels are observed to be low across the three factors: social, economic, and cultural. The second expert survey and the subsequent Analytic Hierarchy Process (AHP) analysis conducted for improvement measures reveal notable discrepancies in the prioritization of factors between administrative experts and practical experts. For the importance of administrative experts, the establishment of network-type regional governance was ranked first for the importance, followed by hosting events related to the U.S. military and long-term pre-market operations, and expanding exchange and cooperation between the U.S. Forces Korea and the community. For the importance of working-level experts, hosting U.S. military-related events and long-term pre-market operations was ranked first, while supporting U.S. military-related festivals and developing local natural landscape resources was ranked second. Our findings suggest the need for proactive measures such as attracting commercial facilities to stimulate demand from both the U.S. military and local residents, thereby revitalizing general neighborhood-type urban regeneration projects, developing programs for local tourism, and operating pre-market operations in the long run. Therefore, this study highlights the importance of regional government cooperation for urban regeneration projects.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.222-235
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• 2022

The Government provides a financial assistance to stimulate firm R&D and innovation activities. Previous papers on the impact of public subsidies on firm R&D investments mainly had a focus on an individual policy tool regardless of potential impacts of other policy instruments. This study addresses this gap by examining the effects of policy mix regarding a subsidy and a tax credit. The empirical analyses from fixed effect model using Survey on Technology of SMEs 2015-2017 revealed valuable points. First, policy mix induces more R&D investment of SMEs, which in turn, shows a complementary relationship between two instruments. Second, even if impact of tax credit controlled, subsidy is positively associated with SMEs R&D investment. These findings justify policy mix interventions to promote SME R&D activity. Moreover, grants can be applied as a more useful policy tool for SMEs that are constrained by resources and capabilities.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.6D
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• pp.945-950
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• 2006

In implementing transportation projects, benefits have been estimated using conventional benefit components. However, these components have a lot of assumptions and limitations for benefit estimations and thus it seems to be difficult to obtain values of parameters as well as to overlook benefits of non-market goods in calculation process. In other words, current benefit estimations are considered that can be solely measured by directly depending on traffic volumes. Existing economic analysis do not reflect the full benefits, including direct and indirect of the project implementations. To illustrate this fact, bicycle road construction can result in various functional benefits, including improved quality of life, balanced regional development, and good scenery composition. These benefits can not be explained with conventional economic analysis. The objective of this research is to estimate valuation of bicycle road construction using Contingent Valuation Method (CVM). CVM can evaluate user's direct willingness-to-pay as well as maximize bicycle utilization with balanced regional development. This research used the coastline bicycle road construction project for example. The proposed method can be well calculated or estimated benefits for non-market goods of bicycle road constructions using CVM.

• Journal of Venture Innovation
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• v.5 no.4
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• pp.157-178
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• 2022

The economy has deteriorated worldwide due to COVID-19, and the domestic economy has also been hit hard. Accordingly, the government implemented unprecedented financial support policies related to COVID-19 to solve the financial difficulties experienced by SMEs. In addition, as the spread of COVID-19 continued, the government implemented guidelines and measures along with recommendations for non-face-to-face contact. Organizations in the public and private sectors have introduced non-face-to-face work methods. Considering this situation, this study investigated the impact of COVID-19-related financial support policies on technological innovation of SMEs. External support is important for corporate innovation, but internal capabilities are also important. Therefore, the effect of entrepreneurship on product innovation was identified. In addition, as the non-face-to-face work method was activated, the effect of smart work was identified by comparing companies that introduced smart work and companies that did not. As a result of the analysis, entrepreneurship showed a positive (+) effect regardless of the introduction of smart work. Financial support policies related to COVID-19 were found to show mixed results according to the type of support.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.69-81
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• 2024

The The purpose of this study is to have a positive impact on the evaluation of the traditional market revitalization project by discussing the business details and implementation process of the commercial district revitalization project in depth. The research method uses practical methods for traditional market revitalization projects. First, the activation method of the place was examined through the concepts of Oldenburg's 'Third Place' and Carr et al.'s 'Five Demands for Public Space' and the theories related to non-face-to-face transactions were examined. The first study case was the commercial district revitalization project of the Cheongju Global Market Development Project(Seongan-gil Street Shopping Mall and Yukgeori traditional Market), which discussed revitalization of open space, revitalization through reproduction, and revitalization through festivals. The revitalization project through representation is a project to install a symbolic sculpture at the estimated location of the 'Namseokgyo' buried in Yukgeori traditional Market. The revitalization through the festival is the Korea Sale Festa, which is a vibrant business due to increased sales at traditional markets and shopping malls and floating population in open spaces. The second study case was the Cultural Tourism Promotion Project(Hanmin traditional Market), which discussed revitalization through the development of local brands and SNS content. In the conclusion, the relationship between the six projects and commercial district revitalization methods was discussed, and policy recommendations were made, mentioning the importance of reflecting regional characteristics in design planning. We hope that this study will be used to positively evaluate the traditional market revitalization project, showing that stakeholders are working hard to produce positive results within institutional limitations.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.1
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• pp.35-45
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• 2020

This study focused on the park as a space to support the behavior of urban citizens in modern society. Modern city parks are not spaces that play a specific role but are used by many people, so their function and meaning may change depending on the user's behavior. In addition, current online data may determine the selection of parks to visit or the usage of parks. Therefore, this study analyzed the change of behavior in Yeouido Park, Yeouido Hangang Park, and Yangjae Citizen's Forest from 2000 to 2018 by utilizing a time series analysis. The analysis method used Big Data techniques such as text mining and social network analysis. The summary of the study is as follows. The usage behavior of Yeouido Park has changed over time to "Ride" (Dynamic Behavior) for the first period (I), "Take" (Information Communication Service Behavior) for the second period (II), "See" (Communicative Behavior) for the third period (III), and "Eat" (Energy Source Behavior) for the fourth period (IV). In the case of Yangjae Citizens' Forest, the usage behavior has changed over time to "Walk" (Dynamic Behavior) for the first, second, and third periods (I), (II), (III) and "Play" (Dynamic Behavior) for the fourth period (IV). Looking at the factors affecting behavior, Yeouido Park was had various factors related to sports, leisure, culture, art, and spare time compared to Yangjae Citizens' Forest. The differences in Yangjae Citizens' Forest that affected its main usage behavior were various elements of natural resources. Second, the behavior of the target areas was found to be focused on certain main behaviors over time and played a role in selecting or limiting future behaviors. These results indicate that the space and facilities of the target areas had not been utilized evenly, as various behaviors have not occurred, however, a certain main behavior has appeared in the target areas. This study has great significance in that it analyzes the usage of urban parks using Big Data techniques, and determined that urban parks are transformed into play spaces where consumption progressed beyond the role of rest and walking. The behavior occurring in modern urban parks is changing in quantity and content. Therefore, through various types of discussions based on the results of the behavior collected through Big Data, we can better understand how citizens are using city parks. This study found that the behavior associated with static behavior in both parks had a great impact on other behaviors.