This study examines the actual operation and performance of the public participation platform by analyzing various public participation processes from 2018 to 2021, when 'Gwanghwamun 1st Street', a representative public participation platform operated by the Ministry of Public Administration and Security, was launched. Through this, the influencing factors that were able to successfully induce the process of policyization through public participation were derived as follows. First, online participation channels were diversified to encourage public participation. Second, it is also important that the public opinion contest and compensation for public review were implemented to encourage and expand public participation. Third, the participation of experts was encouraged to refine and refine the people's ideas. Through these research results, it is judged that the Korean government will be able to contribute to inducing the policyization process through continuous public participation. In deriving success factors for policyization through public participation in the future, how influencing factors such as the public participation process, communication through online channels, and collaboration with experts affect the public participation process using quantitative analysis techniques A study to prove it will have to be conducted subsequently.
Cho, Sang Keun;Kim, In Chan;Hong, Myung Sook;Yu, Sun Young;Jeon, So Min;Park, Sang-Hyuk
The Journal of the Convergence on Culture Technology
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v.8
no.2
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pp.197-202
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2022
Gender neutral draft is the system that the level of manpower which military demands right now can be kept and the concept of gender equality can enlarge itself. This thesis draws implications on the necessity of optional review of draft and the amelioration of military organizational culture for the military through the example of Norway that has adopted gender neutral draft initially in Europe. The Military that is characterized by traditionally male led domain accelerates itself the openness to female by the aggrandizement of social participation and the improvement of human right for female. The various concerns about a necessary facilities, the period ofmilitary service, the level of salary, the keeping of combat power, etc just should be overcome in order to enlarge conscription to female in Korea. Situations such as the environment of national security, the level of social participation to female, the treatment to minority are different, so it is difficult for us to draw any conclusion whether the adoption of sex neutral conscription is right or not. Nonetheless, the national strategy that prepares for future may not be concluded easily and we can not stop it even though it is discomfortable truth. In Conclusion, we anticipate that the sound discourse on measures of including female in draft will be continued from the start with this thesis.
This study examines the distribution of power in Northeast Asia based on the balance of power theory, a representative theory of realism, assuming military capabilities as the core power of states. The results of previous studies on the balance of power and military forces are reviewed and used to analyze changes in the strength of the US, China, Russia, Japan, South Korea, and North Korea through 2020 to predict the security environment in 2030. In the balance of power theory, if the balance of power between a nation or a group of powers collapses, the possibility of war is high, and to survive in the international community with high uncertainty and distrust, the theory predicts that states must increase their powers in a self-help world and strengthen cooperation and alliance. Countries in Northeast Asia are also continuing to strengthen their military capabilities, and countries neighboring China are paying keen attention and remaining vigilant due to the rapid changes in the international security environment after the rapid rise of China. To mark the future 100th anniversary of the Chinese armed forces in the 2030s, China aims to realize 'defense and military modernization' and build a 'world-class military force' by the nation's 100th anniversary in the 2050s. The US is busy checking China's rise by strengthening international cooperation and alliances. The security environment and power dynamics in Northeast Asia are slowly changing as the US and China continue to compete for global hegemony. The changes and implications of the distribution of power in Northeast Asia after 2030 are examined based on the balance of power theory.
Journal of Korea Entertainment Industry Association
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v.15
no.3
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pp.153-170
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2021
This study was attempted to derive strategic implications for activating professional sports by conducting in-depth interviews with professional sports officials such as players, teams, federations, agencies, etc., by searching for factors that cause match fixing and deriving preventive strategies based on them. Eight people with more than 3 years of experience working in professional sports were selected using the snowball sampling technique. Data were collected and analyzed by applying a semi-structured in-depth interview method for them. As a result of the analysis, five core categories (the learning effect from the cartel for entering university, the culture learned in a camp training, the manifestation of the latent learning effect, the negative effect of the human network, the personal disposition) were derived as factors causing match-fixing. As for the strategy to prevent match fixing, first, improving the college entrance examination system oriented on individual capability, second, improving the education system for student athlete, third, establishing a prevention system, fourth, continuing education, fifth, and activating the agent system as the core categories. Implications for the derived research results and future research directions were discussed.
This study explored what latent classes appear according to the combination of Belief in a Just World (BJW) and social class of middle-aged adults, and examined whether there are differences in career transiton, perceiving a calling, and working as meaning in each class and what characteristics they have. 224 middle-aged people who experienced turnover through online and offline were surveyed and analyzed by Latent Profile Analysis. The participants were divided into 5 latent classes such as; 'Relative self-satisfaction', 'Social contentment', 'Relative deprived', 'Fairness trust' and 'Fairness distrust'. According to the results of MANOVA analysis to figure out if there are differences in career transitions, perceiving a calling, and working as meaning depending on latent classes, significant differences were appeared among latent classes. Finally, multinominal logistic regression analysis was conducted to examine whether demographic characteristics and 'decent work' affect the latent group classification. As a result, the more 'decent work', the higher the probability of belonging to the class with high BJW and social class. On the basis of the results of this study, the implications on the case conceptualization and counseling strategy for adults focusing on BJW and Social class in adults and future research were discussed.
The purpose of this study is described in detail as follows. First, I would like to define what digital transformation is in the maritime transport sector. Second, it is intended to derive success factors for digital transformation in the maritime transportation field by examining various preceding studies related to digital transformation. Finally, in order to derive priorities for the derived success factors, an AHP analysis model is built and an expert survey is conducted for practical experts in the maritime transportation field. Based on the survey results, we would like to provide guidelines on what factors should be considered first among the success factors of digital transformation in the maritime transportation sector. In this study, in order to derive the priority of success factors for digital transformation in the maritime transportation field, the hierarchical structure was divided into four high-level evaluation items(strategic factors, organizational culture and human factors, technology factors, and environmental factors) and 21 sub-evaluation items. A relative evaluation method of weighting items among AHP(Analytic Hierarchy Process) was applied. AHP analysis of 24 questionnaires with a consistency ratio of 0.1 or less in order to increase the accuracy of information among questionnaires collected through maritime transportation related university professors, research groups, shipping companies, container terminals, and experts engaged in shipping related IT companies was carried out. As a result of the analysis, the priority of the first-tier factors for the success factors of digital transformation in the maritime transport sector was shown in the order of strategic factors, organizational culture and human factors, technology factors, and environmental factors. In addition, when looking at the priorities of 21 detailed items, it was found that the development of new business models, the creation of an active future digital strategy, and the leadership of the chief digital officer were high.
Ham, Sangwoo;Bae, Soohyeon;Kim, Hwiyoung;Lee, Impyeong;Lee, Gyu-Phil;Kim, Donggyou
Journal of Korean Tunnelling and Underground Space Association
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v.23
no.6
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pp.549-558
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2021
In order to keep infrastructures such as tunnels and underground facilities safe, cracks of concrete lining in tunnel should be detected by regular inspections. Since regular inspections are accomplished through manual efforts using maintenance lift vehicles, it brings about traffic jam, exposes works to dangerous circumstances, and deteriorates consistency of crack inspection data. This study aims to provide methodology to automatically extract cracks from tunnel concrete lining images generated by the existing tunnel image acquisition system. Specifically, we train a deep learning based semantic segmentation model with open dataset, and evaluate its performance with the dataset from the existing tunnel image acquisition system. In particular, we compare the model performance in case of using all of a public dataset, subset of the public dataset which are related to tunnel surfaces, and the tunnel-related subset with negative examples. As a result, the model trained using the tunnel-related subset with negative examples reached the best performance. In the future, we expect that this research can be used for planning efficient model training strategy for crack detection.
Journal of the Korean Society of Environmental Restoration Technology
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v.25
no.1
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pp.25-38
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2022
Urban problems are constantly occurring around the world due to rapid industrialization and population decline. In particular, as the number of vacant houses is gradually increasing as the population decreases, it is necessary to prepare countermeasures. A plan to utilize vacant houses has emerged to restore the natural environment of the urban ecosystem where forest destruction, damage to habitats of wild animals and plants, and disconnection have occurred due to large-scale development. Through connectivity analysis, it is possible to understand the overall ecosystem flow based on the movement of species and predict the effect when vacant houses are converted into green spaces. Therefore, this study analyzed the green area network to confirm the possibility of greening of vacant houses neglected in Jeonju based on circuit theory. Using Circuitscape and Least-cost path, we tried to identify the connectivity of green areas and propose an ecological axis based on the analysis. In order to apply the resistance values required for analysis based on previous studies, the 2020 subdivision land cover data were integrated into the major classification evaluation items. When the eight forests in the target site were analyzed as the standard, the overall connectivity and connectivity between forests in the area were high, so it is judged that the existing green areas can perform various functions, such as species movement and provision of habitats. Based on the results of the connectivity analysis, the importance of vacant houses was calculated and the top 20 vacant houses were identified, and it was confirmed that the higher the ranking, the more positive the degree of landscape connectivity was when converted to green areas. In addition, it was confirmed that the results of analyzing the least-cost path based on the resistance values such as connectivity analysis and the existing conceptual map showed some differences when comparing the ecological axes in the form. As a result of checking the vacant houses corresponding to the relevant axis based on the width standards of the main and sub-green areas, a total of 30 vacant houses were included in the 200m width and 6 vacant houses in the 80m width. It is judged that the conversion of vacant houses to green space can contribute to biodiversity conservation as well as connectivity between habitats of species as it is coupled with improved green space connectivity. In addition, it is expected to help solve the problem of vacant houses in the future by showing the possibility of using vacant houses.
This study is an exploratory study on the sustainable management of MICE events, and was conducted using the FGI method. Twelve experts in the MICE field, industry, and academia were selected as the subjects of the study. The reason is that understanding and specialty of those targets provides research reliability and validity. The study period was 3 months from June to August 2021. As a result, it is very important to prepare a sustainable development strategy in the MICE industry, and in particular, the need for guidelines to be practiced during event operation from the organizer's point of view was derived. In addition, to derive items that can be used in practice based on the theoretical basis, and it was necessary to derive research results using internationally recognized Sustainable Development Goals (UNSDGs) and sustainable MICE research developed in the fields of tourism and MICE. Therefore, through the verification of such experts in the field of MICE, theoretical and practical guidelines from the perspective of the organizer that can be used when holding MICE were developed. The results of the study will provide implications for establishing more effective strategies for hosting sustainable MICE events in the future.
All-solid-state batteries are one of the promising candidates for next-generation batteries and are drawing attention as a key component that will lead the future electric vehicle industry. This study analyzes 10,280 comments on Reddit, which is a global social media, in order to identify policy issues and public interest related to all-solid-state batteries from 2016 to 2021. Text mining such as frequency analysis, association rule analysis, and topic modeling, and sentiment analysis are applied to the collected global data to grasp global trends, compare them with the South Korean government's all-solid-state battery development strategy, and suggest policy directions for its national research and development. As a result, the overall sentiment toward all-solid-state battery issues was positive with 50.5% positive and 39.5% negative comments. In addition, as a result of analyzing detailed emotions, it was found that the public had trust and expectation for all-solid-state batteries. However, feelings of concern about unresolved problems coexisted. This study has an academic and practical contribution in that it presented a text mining analysis method for deriving key issues related to all-solid-state batteries, and a more comprehensive trend analysis by employing both a top-down approach based on government policy analysis and a bottom-up approach that analyzes public perception.
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