• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.5
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• pp.493-498
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• 2019

This study deals with the analysis of the technology association rules between CPC codes of the Internet of Things(IoT) patent, the core of the Fourth Industrial Revolution ICT-based technology. The association rules between CPC codes were extracted using R, an open source for data mining. To this end, we analyzed 369 of the 605 patents related to the Internet of Things filed with the Patent Office until July 2019, with a complex CPC code, up to the subclass-level. As a result of the technology association rules, CPC codes with high support were [H04W ${\rightarrow}$ H04L](18.2%), [H04L ${\rightarrow}$ H04W](18.2%), [G06Q ${\rightarrow}$ H04L](17.3%), [H04L ${\rightarrow}$ G06Q](17.3%), [H04W ${\rightarrow}$ G06Q](9.8%), [G06Q ${\rightarrow}$ H04W](9.8%), [G06F ${\rightarrow}$ H04L](7.9%), [H04L ${\rightarrow}$ G06F](7.9%), [G06F ${\rightarrow}$ G06Q](6.2%), [G06Q ${\rightarrow}$ G06F](6.2%). After analyzing the technology interconnection network, the core CPC codes related to technology association rules are G06Q and H04L. The results of this study can be used to predict future patent trends.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.37 no.1
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• pp.68-75
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• 2019

This study aims to look at the application methods of landscape architecture in response to the 4th Industrial Revolution. The results of the analysis of trends in the 4th Industrial Revolution and the subsequent search for application methods to the field of landscape architecture are as follows. First, the 4th Industrial Revolution means innovative change based on digital technology and seeks to create value based on intelligent information technology, and continuous growth is being made through innovation. This requires expertise to collect large amounts of information and creatively rework it, and a strategy to flexibly cope with changes in the times. Second, the status of technological use in response to the 4th Industrial Revolution in the field of landscape architecture is generalizing the establishment of precise analysis results such as survey technology and global mapping using drones, three-dimensional design simulation, and VR. In the field of traditional landscape architecture, efforts are made to obtain accurate fact-finding data on landscape site components. Third, the application methods in the field of landscape science according to the 4th Industrial Revolution in the future are required to supply precision technology and supply programs in the technology sector, and to provide a shared platform. In addition, a systemically standardized process will need to be established for this. In addition, educational efforts should be continued to professional manpower training and provide economic support for the development of technologies.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.457-475
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• 2021

As Korean society enters an aged society, there is an increasing situation in which various generations coexist in the workplace. This study aimed to analyze corporate reverse mentoring in light of generational exchange. Through the case study methods using literature research and interviews, we categorized the objectives of starting reverse mentoring programs in domestic and foreign companies, and analyzed the possibility of generational exchange with the cases of company A in the US and B in Korea extracted by purposive sampling. Based on social exchange theory, organizational age theory, and generational solidarity theory, the analysis framework presented three propositions: 1) mutual benefit 2) balanced contribution, and 3) sustainability. As a result of the case analyses, there were three main objectives of introducing reverse mentoring: learning IT/social media, promoting corporate diversity, and understanding new trends in the younger generation. In the case of A company in the US and B company in Korea, there was a similarity in mutual benefit and balanced contribution. However, regarding sustainability, there was room for improvement in company B in Korea unlike company A in the US. We expect that reverse mentoring will provide important criteria for success in terms of generational exchange within organizations where various generations coexist in the future.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.9-21
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• 2021

The study aims to identify convergence and trends in technology-based patent data for the biohealth sector in IP5 countries (KR, EP, JP, US, CN) and present the direction of development in that industry. We used patent co-classification analysis-based network analysis and TF-IDF-based text mining as the principal methodology to understand the current state of technology convergence. As a result, the technology convergence cluster in the biohealth industry was derived in three forms: (A) Medical device for treatment, (B) Medical data processing, and (C) Medical device for biometrics. Besides, as a result of trend analysis based on technology convergence results, it is analyzed that Korea is likely to dominate the market with patents with high commercial value in the future as it is derived as a market leader in (B) medical data processing. In particular, the field is expected to require technology convergence activation policies and R&D support strategies for the technology as the possibility of medical data utilization by domestic bio-health companies expands, along with the policy conversion of the "Data 3 Act" passed by the National Assembly in January 2019.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.97-103
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• 2020

This study sets the solar power system installed and applied to the vertical side wall among the photovoltaic systems in the building as the scope of the research. The theoretical background was considered through literature research as a research method, and the current status, trends and characteristics of solar generator design installed and applied to domestic and foreign vertical side walls were then investigated and analyzed cases. As a result, the importance and necessity of photovoltaic generators, potential for power generation and growth were identified, and positive factors and directions were found for improving aestheticity. Based on this point, we would like to propose expected effects that can be applied to photovoltaic system design installed and applied to vertical side walls in the future, and confirm the direction and significance of the improvement of aesthetic quality of the proposal for development of thin film solar cell design technology using green facade design.

• Journal of Environmental Analysis, Health and Toxicology
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• v.21 no.4
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• pp.220-228
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• 2018

$PM_{2.5}$-bound mercury (PBM) was monitored at weekly intervals for three years (from 2014 to 2016) at an urban (Seoul) and rural site (Baengnyeong) in South Korea. The average PBM concentrations in $PM_{2.5}$ samples over the entire sampling period were $12{\pm}11pg/m^3$ and $36{\pm}34pg/m^3$ for Baengnyeong and Seoul, respectively. Seasonal differences were pronounced, with concentrations being highest in winter due to local meteorological conditions (high gas-particle coefficient due to low temperature and low mixing layer height in winter) as well as seasonal factors, such as coal combustion for heating purposes in China. In Baengnyeong, the significant positive correlation of PBM with $PM_{2.5}$, air pollutants, and heavy metals suggested that coal combustion in China might be the most important source of ambient mercury in Korea. In winter, no correlation of PBM with $PM_{2.5}$, air pollutants, and heavy metals was seen in Seoul. Furthermore, Seoul showed higher $PBM/PM_{2.5}$ and $Pb/PM_{2.5}$ ratios in winter due to the strong atmospheric oxidation-reduction reaction conditions as well as local and regional PBM sources. We conclude that immediate attention must be given to addressing PBM levels in Korea, including considering it as a key component of future air quality monitoring activities and mitigation measures.

• The Journal of Bigdata
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• v.5 no.2
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• pp.77-84
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• 2020

In this study, we conducted a study on the win-loss predicton analysis of korean professional baseball by artificial intelligence models. Based on the model, we predicted the winner as well as each team's final rank in the league. Additionally, we developed a website for viewers' understanding. In each game's first, third, and fifth inning, we analyze to select the best model that performs the highest accuracy and minimizes errors. Based on the result, we generate the rankings. We used the predicted data started from May 5, the season's opening day, to August 30, 2020 to generate the rankings. In the games which Kia Tigers did not play, however, we used actual games' results in the data. KNN and AdaBoost selected the most optimized machine learning model. As a result, we observe a decreasing trend of the predicted results' ranking error as the season progresses. The deep learning model recorded 89% of the model accuracy. It provides the same result of decreasing ranking error trends of the predicted results that we observe in the machine learning model. We estimate that this study's result applies to future KBO predictions as well as other fields. We expect broadcasting enhancements by posting the predicted winning percentage per inning which is generated by AI algorism. We expect this will bring new interest to the KBO fans. Furthermore, the prediction generated at each inning would provide insights to teams so that they can analyze data and come up with successful strategies.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.830-837
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• 2020

With the rapid development of information and communication technology, information exchange between ships and shore has become faster and more convenient, However, accessing ship information has also become easier and concerns about cyber security attacks are growing. When a ship suffers a cyber-attack, it may cause considerable damage and incurs enormous costs and time to repair. In response to this threat, the maritime industry now demands that a cyber security officer be assigned to each ship to take charge of cyber security management onboard. In order to reduce the damage cause by an attack and to respond effectively, a specialized training course for the ship's cyber security officer is required. The purpose of this study was to present a training course for the position of the ship's cyber security officer, and to highlight the necessity of amending current legislation, To this end, domestic and foreign trends, ship cyber security incident cases, and cyber security training courses were investigated, and based on the results a standard training course for a ship's cyber security of icer was developed. Additionally, recommendations on the related amendments to legislation ware established. The results of the study can be used as basic data to establish future training courses for cyber security officers.

• Journal of Wetlands Research
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• v.23 no.3
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• pp.224-233
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• 2021

This study analyzed global Knowledge Sharing Platforms and collected stakeholder's suggestions to develop the "Korea-ASEAN Wetland Knowledge Sharing Platform (KSP)." As a result of the analysis, ① financial support and ② knowledge outcomes are essential to maintain the KSP and conduct the platform sustainably. Stakeholder suggest three significant projects (① comparative analysis of the inventory of wetlands in the Korea-ASEAN region, ② knowledge gap analysis in wetland research trends, and ③ establishing a web infrastructure for wetlands information sharing). The "Korea-ASEAN Wetland KSP" defined to be consistent with the international conventions (e.g., Ramsar Convention, Convention on Biological Diversity) goals by comprehensively considering the literature analysis and stakeholder suggestions. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) selected as the fundamental model of the KSP. As with IPBES, knowledge management and assessment, capacity building, policy support, communication and participation adopted as the platform's core objectives. The KSP will be able to share knowledge related to the same type of wetland ecosystem within the Korea-ASEAN region and provide necessary information for establishing science-based policies.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.6
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• pp.1-13
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• 2021

This study was performed to investigate the ecosystem service patterns in relation to climate change acceleration utilizing big data analysis. This study aimed to use big data analysis as one of the network of views to identify convergent thinking in two fields: climate change and ecosystem service. The keywords were analysed to ascertain if there were any differences in the perceiving problems, policy direction, climate change implications, and regional differences. In addition, we examined the research keywords of each continent, the centre of ecosystem service research, and the topics to be referred to in domestic research. The results of the analysis are as follows: First, the keyword centrality of climate change is similar to the detailed indicators of The Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) regulations, content, and non-material ecosystem services. Second, the cross-analysis of terms in two journals showed a difference in value-oriented point; the Ecosystem Service Journal identified green infrastructure as having economic value, whereas the Climate Change Journal perceives water, forest, carbon, and biodiversity as management topics. The Climate Change Journal, but not the former, focuses on future predictions. Third, the analysis of the research topics according to continents showed that water and soil are closely related to the economy, and thus, play an important role in policy formulation. This disparity is due to differences in each continent's environmental characteristics, as well as economic and policy issues. This fact can be used to refer to the direction of research on ecosystem services in Korea. Consistent with the recent trend of expanding research regarding the impacts of climate change, it is necessary to study strategies to scientifically predict and respond to the negative effects of climate change.