• Journal of the Korean Society of Earth Science Education
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• v.15 no.1
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• pp.117-131
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• 2022

The purpose of this study is to develop a board game design activity for environmental education and to investigate how it affects high school students' environmental knowledge, environmental literacy, and creative engineering problem solving propensity. Twenty-five freshman and sophomore students belonging to the environmental club participated in this study. The board game activity was designed as 10 class hours lessons based on the engineering design process. The main data source of this study was pre-post students' conceptual maps of the environmental topics (global warming or ecosystem destruction) to measure the background knowledge on the topic. In addition, the environmental literacy measurement questionnaire and the creative engineering problem solving propensity questionnaire were collected before and after the activity. The result shows that the number of environment-related words described by the students on the post-concept map increased compared to the pre-concept map. In addition, the environmental literacy score and the creative engineering problem-solving propensity score increased significantly after performing the board game design activity. The results show that environmental lessons using board game design activities can help student develop various competencies in a good way. As above, research that combines board games and secondary education must be activated, and a new educational method and systemic support for in-service teachers who want to apply it to science classroom is required.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.6
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• pp.371-383
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• 2021

Steel-concrete single-leaf blast-resistant doors, having steel box and slab inside, are installed on the wall using supporting members such as hinges and latches. Several studies have been conducted on their deflection behavior in the same direction as that of the blast pressure, but studies on their deflection behavior in the opposite direction, that is, studies on negative deflection behavior are relatively insufficient. In this study, we conducted a parameter analysis using finite element analysis on blast-resistant doors, on their rebound behavior in the negative deflection phase. Results revealed that the plastic deformation of the door, and the change in momentum and kinetic energy during rebound, were major factors influencing the rebound behavior. Greater rebound force was developed on the supporting members in the impulsive region, than in the quasi-static region; due to the characteristics in the impulsive region, where the kinetic energy developed relatively greater than the strain energy. In the design process, it is necessary to consider excessive deformation that could occur in the supporting members as the rebound behavior progresses. Additionally, it was found that in the case of steel-concrete blast doors, the rebound force increased relatively more, when the effects of both rebound and negative blast pressure contributed to the negative deflection of the door. Since conditions for the occurrence of this superposition effect could vary depending on structural characteristics and explosion conditions, further investigation may be required on this topic.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.11-21
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• 2022

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.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.63-70
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• 2022

This study is a study that collects and analyzes data through An autoethnographyon as one of method of qualitative research, through which researcher have experienced firsthand in the process of developmenting and counseling there a new concept professional mental health mobile service platform as a mental health social welfare expert. The results of this study are as follows.First, there are people in Korea who are directly exposed to mental health issues and need to receive professional medical services, but there are also quite a few members of the public who have a desire for general mental health services, although the level of therapeutic intervention is not required. Second, considering the characteristics of modern society and especially in the pandemic situation of infectious diseases such as COVID-19, more and more people are preferring various mental health service platforms using mobile devices. Third, all generations complain of mental health issues such as family problems, stress, interpersonal relationships, and occupations, and other mental health problems such as self-harm and suicide accidents are frequently mentioned in connection with mental disorders such as depression, anxiety disorder, addiction, and post-traumatic stress disorder. Fourth, youngth s were exposed to various mental health-related issues, and above all, they were complaining of serious mental health problems such as self-harm and suicide accidents. Fifth, in delivering professional mental health services, mental health experts with the ability also to provide professional services online through mobile devices are needed as well offline. Finally, based on the results of this study, policy and practical suggestions related to the provision of mental health services in the future, and directions for follow-up studies were suggested.

• Iberoamérica
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• v.22 no.2
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• pp.25-57
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• 2020

Eduardo Galeano is a left-wing intellectual who led the criticism and accusations of dictatorship and social absurdity in Latin America. It digs into the truth of hidden history that has not been revealed in official history. He values the memory of history to stop repetition of the unfortunate history of the past. The main research topic of this study, 『The Book of Embraces』, is also an extension of such work. Most of the stories in this work depend on the writer's memory. There is no coherence or integration in the content of the story, and the length of the text is not constant, so it is extremely informal and fragmented. This is a strategy to formally reveal the illogical and irrational reality of Latin America. He analyzes the problems of the separation system prevalent in Latin American society from various perspectives. It separates me and the others as well as the past and the present. It makes the memory of history void and paralyzes the consciousness of history. These systems are fixed for convenient governance. In this situation, the pattern of violence becomes more explicit and broad. The anxiety and fear of the Latin American public become commonplace. It is a reality of enduring daily life without hope. Galeano finds this enduring force in historical memory. He believes that when the past and the present meet and embrace, a new history of the future can be encountered. Galeano does not just criticize reality or cynical attitude but also suggests hope for the future.

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.15-26
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• 2020

Local product is the key driver of regional economic growth. Despite abundant attention - there remains to examine about sustainable growth of local products. While previous studies have focused on local product brand and tourism effects, we need to know more about other way or mind-set that upgrade local product quality in local circumstances. This research topic's goal is to provide an academic implication to discuss sustainable growth and local product developments in Gyeongju bread and waxy barley bread from succession and entrepreneurship view with practical lesson for fostering local products. In-depth case study conducted within ancient capital Gyeongju bread and waxy barley bread provided combined evidence that craftsmanship and entrepreneurship is vital to the sustainable growth of local bread. Our study suggests that how succession is deployed serves as a key engine for the craftsmanship and entrepreneurial mind of local product business ownership.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.83-106
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• 2021

Interests in clean fuels have been soaring because of environmental problems such as air pollution and global warming. Unlike fossil fuels, hydrogen obtains public attention as a eco-friendly energy source because it releases only water when burned. Various policy efforts have been made to establish a hydrogen based transportation network. The station that supplies hydrogen to hydrogen-powered trucks is essential for building the hydrogen based logistics system. Thus, determining the optimal location of refueling stations is an important topic in the network. Although previous studies have mostly applied optimization based methodologies, this paper adopts machine learning to review spatial attributes of candidate locations in selecting the optimal position of the refueling stations. Machine learning shows outstanding performance in various fields. However, it has not yet applied to an optimal location selection problem of hydrogen refueling stations. Therefore, several machine learning models are applied and compared in performance by setting variables relevant to the location of highway rest areas and random points on a highway. The results show that Random Forest model is superior in terms of F1-score. We believe that this work can be a starting point to utilize machine learning based methods as the preliminary review for the optimal sites of the stations before the optimization applies.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.570-582
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• 2022

Nucleoplasty is a type of percutaneous disc decompression that has been developed to treat herniated intervertebral discs. Currently, in some clinics, researchers have also applied this procedure to patients with internal disc disruption, apart from the originally intended usage on herniated intervertebral discs. The purpose of this study is to evaluate the feasibility of this extended use based on medical logic. To achieve this, the author analyzed case studies on performing nucleoplasty on patients with internal disc disruption. The main points of the analysis are, first, the validity of the treatment evidence presented by the researchers and, second, the relevance of the patient selection criteria. As a result, it is judged that the therapeutic rationale of existing papers applying nucleoplasty to the treatment of internal disc disruption is unclear or inconsistent with general medical logic, and in the process of patient screening, discs that may be deemed inappropriate for percutaneous decompression are included. Therefore, the author believes that existing studies applying nucleoplasty to the treatment of internal disc disruption have the nature of somewhat adventurous experiments that are unnecessary or can cause potential side effects. In order to uphold patients' rights and improve the completeness of the study in the research process on this topic, the author thinks that it is essential to establish clearer therapeutic evidence than the current level of understanding and to have an elaborate patient screening process based on it.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.135-155
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• 2022

This study analyzes patent trends by deriving sub-technical fields of Organic Light-Emitting Diodes (OLEDs) industry, and analyzing technology value, originality, and diversity for each sub-technical field. To collect patent data, a set of international patent classification(IPC) codes related to OLED technology was defined, and OLED-related patents applied from 2005 to 2017 were collected using a set of IPC codes. Then, a large number of collected patent documents were classified into 12 major technologies using the Latent Dirichlet Allocation(LDA) topic model and trends for each technology were investigated. Patents related to touch sensor, module, image processing, and circuit driving showed an increasing trend, but virtual reality and user interface recently decreased, and thin film transistor, fingerprint recognition, and optical film showed a continuous trend. To compare the technological value, the number of forward citations, originality, and diversity of patents included in each technology group were investigated. From the results, image processing, user interface(UI) and user experience(UX), module, and adhesive technology with high number of forward citations, originality and diversity showed relatively high technological value. The results provide useful information in the process of establishing a company's technology strategy.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.253-275
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• 2022

Niklas Luhmann is one of the most contentious and difficult theorist in sociology but follow-up studies on his theory gradually increase for recent 10 years. The purpose of this study is to observe how follow-up studies use the difficult concepts of Luhmann. Unlike previous studies, this study adopted a keyword rather than an article as the unit of analysis because keywords are linguistic constructs that can make concepts observable. The study analyzed co-occurrence of keywords in 139 articles retrieved from social sciences category in Web of Science DB. The key findings were following: the most important keywords were the name of Luhmann(Niklas Luhmann) and theory(social systems); keywords were grouped into 4 clusters(social systems theory, systems theory, legal system and political system, the significant of Luhmann's theory from the viewpoint of the history of social theory); topic terms were systems theory, communication, Autopoiesis, risk, legal system, functional differentiation, environment, social theory, sociological theory, structural coupling, systems and evolution. The significance of the study is following: the study gives keywords as useful access point for beginners of Luhmann's theory; the study proves that content analysis by keywords network can be applied to trend analysis of difficult theoretical researches.