• Journal of Korea Trade
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• v.25 no.2
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• pp.75-94
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• 2021

Purpose - This article will take the Korean manufacturing industry as an example to estimate Korea's global value chain status from the perspective of overall and sub-industry, hoping to provide a theoretical reference for Korean manufacturing to climb the global value chain. Design/methodology - Based on the WIOD data. The data is calculated by using MATLAB (2014a) coding. The data for 6 sectors are classified according to the International Standard Industrial Classification revision 3 (ISIC Rev. 3), the WIOD data are used to calculate and compare the position, participation and dynamics of the Korea, China and USA' manufacturing industry in the 1995-2016. Findings - The empirical results supported conclusions of the theoretical model. In the Korean GVC of electrical and optical sector, while stronger forward linkages than backward linkages to GVC are advantageous for an average advanced country, the benefits of downstream tasks are pronounced for non-advanced countries. And proved the correlation for an index to capture a country's upstream position or downstream position, it makes sense to compare that Korea's exports of intermediates in the same sector that are used by China and USA. Originality/value - The first is to re-examine the characteristics of South Korea's participation in global value chains under a more systematic and accurate theoretical framework, which provides a new empirical reference for related research; the second is to content covers of the manufacturing 6 sectors, so as to more completely describe the characteristics of Korean manufacturing's participation in global value chains; The value of this paper is providing empirical evidence of the effect of Korea's the GVC of manufacturing sectors. In the GVC of 6 sectors, first three have a higher position in the value chain and are in the upper middle and upper reaches of the GVC. The latter two have a low GVC position index, which has become the main sector that pulls down the overall position of Korea's manufacturing industry.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.173-182
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• 2023

The UAE government has set its sights on creating a smart, electronic-based government system that utilizes AI. The country's collaboration with India aims to bring substantial returns through AI innovation, with a target of over $20 billion in the coming years. To achieve this goal, the UAE launched its AI strategy in 2017, focused on improving performance in key sectors and becoming a leader in AI investment. To ensure public safety as the role of AI in government grows, the country is working on developing integrated cyber security solutions for SCADA systems. A questionnaire-based study was conducted, using the AI IQ Threat Scale to measure the variables in the research model. The sample consisted of 200 individuals from the UAE government, private sector, and academia, and data was collected through online surveys and analyzed using descriptive statistics and structural equation modeling. The results indicate that the AI IQ Threat Scale was effective in measuring the four main attacks and defense applications of AI. Additionally, the study reveals that AI governance and cyber defense have a positive impact on the resilience of AI systems. This study makes a valuable contribution to the UAE government's efforts to remain at the forefront of AI and technology exploitation. The results emphasize the need for appropriate evaluation models to ensure a resilient economy and improved public safety in the face of automation. The findings can inform future AI governance and cyber defense strategies for the UAE and other countries.

• Korean Journal of Comparative Education
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• v.28 no.2
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• pp.1-21
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• 2018

The purpose of this study is to explore secondary school teachers' perceptions of student evaluations, focusing especially on students' performance in the classroom. The study selected Germany as a representative country where teachers' performance evaluation strongly affects students' school pathways. The researchers selected 4 English teachers and conducted in-depth interviews with them. The results indicated that German English teachers perceived students' performance as an individual evaluation and provided each student with oriented learning materials and evaluation results. The second, they used formative evaluations to confirm and motivate their students' learning process as well as peer assessments. The third, the German English teachers showed strong empowerment in the evaluation process. The fourth, they motivated to participation in-class activities teacher through performance evaluation considering fairness. Based on the results, future studies should need to observe real settings in the classroom and students' perceptions of their evaluations. the study also suggested using practical performance evaluations to enhance students' motivation and participation in the classroom. This study identified limitations of the research and made significant recommendations for future studies.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.11-16
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• 2022

As an interest in the development of artificial intelligence(AI) technology in the water supply sector increases, we have developed an AI algorithm that can predict improvement decision-making ratings through repetitive learning using the data of pipe condition evaluation results, and present the most reliable prediction model through a verification process. We have developed the algorithm that can predict pipe ratings by pre-processing 12 indirect evaluation items based on the 2020 Han River Basin's basic plan and applying the AI algorithm to update weighting factors through backpropagation. This method ensured that the concordance rate between the direct evaluation result value and the calculated result value through repetitive learning and verification was more than 90%. As a result of the algorithm accuracy verification process, it was confirmed that all water pipe type data were evenly distributed, and the more learning data, the higher prediction accuracy. If data from all across the country is collected, the reliability of the prediction technique for pipe ratings using AI algorithm will be improved, and therefore, it is expected that the AI algorithm will play a role in supporting decision-making in the objective evaluation of the condition of aging pipes.

• The Journal of Society for e-Business Studies
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• v.20 no.4
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• pp.241-256
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• 2015

In order to ensure that all firms are cyber-secure, many governments have started to enforce the implementation of various security measures on firms. Prior to the implementation, however, it is vague whether government enforced security measures will be effective for mitigating cyber-security risks. By applying a method for estimating the effectiveness of a mandatory seatbelt law in reducing fatalities from motor vehicle accidents, this study develops an ex ante evaluation method that can approximate the effectiveness of a government enforced security measure in reducing country-wide or industry-wide cyber-security risks. Using data obtained from the Korean Internet and Security Agency, this study then explores how to employ the developed method to assess the effectiveness of a specific security measure in mitigating cyber-security risks, if enforced by the government, and compares the effectiveness of various security measures. The comparison shows that compulsory security training has the highest effectiveness.

• Transactions of the Korean hydrogen and new energy society
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• v.17 no.4
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• pp.461-469
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• 2006

This paper deals with the national competitiveness of hydrogen energy. The effectiveness of investments for hydrogen energy R&D and constructions of hydrogen energy infrastructures can be evaluated by the national competitiveness of hydrogen energy, and it is evaluated by an AHP(analytic hierarchy process) method. The evaluation indices of the national competitiveness are selected as the technical level, the number of researchers, the investments for R&D, and the infrastructure of hydrogen energy. Similarly, the technical level is divided into the number of published papers, the number of foreign patents, and the number of published proceeding papers. The evaluation indices of the technical level and the number of researchers were investigated by database searches. It appears that South Korea locates the sixth position in the world. The results of our study suggest that South Korea is relatively competitive in the technical level and the number of researchers. However, our country needs the long-term and well-focused R&D, and the expansion of infrastructures to enhance the national competitiveness of hydrogen energy in the future.

• Journal of Environmental Impact Assessment
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• v.17 no.6
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• pp.373-380
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• 2008

The Ministry of Environment plans to improve quality of water which is achieved over 85% in rivers and 94% in lakes of the whole country as "Good Water" until 2015. Also, the law of evaluation of water quality and water quality goal were made newly. So, the water quality has evaluated by using new law since 2007. This study evaluated whether "Good Water" and" Water Quality Goal" were achieved or not in 22 middle-sized districts and major 10 lakes of Geum river. The achievement rates of rivers decreased and the achievement rates of lakes mostly were the same for 5 years. In 2007, the achievement rates of "Good Water" were 50% in rivers and 50% in lakes. The achievement rate of "Water Quality Goal" were 59.1% in rivers and 20% in lakes. The water quality in 2007 was evaluated worse than last year in case of rivers. The evaluations of Korea-Comprehensive Water Quality Index(K-CWQI) showed that achievement rates of "Water Quality Goal" were 81.8% in rivers and 0% in lakes. The statistical correlation analysis showed that correlations between BOD and COD were meaningful at the downstream, compared to upstream, generally. In case of lakes, correlations between COD and temperature were meaningful. Also, correlations between COD and Chl-a were meaningful. The Trophic State Index ($TSI_{KO}$) showed that the half of lakes are major over eutrophic status in lakes. These analytical methods such as K-CWQI, $TSI_{KO}$, statistical correlation analysis could be additionally helpful for evaluation of water quality and provide basis data for understanding characteristics of watershed in Geum river.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.19 no.5
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• pp.47-57
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• 2016

In the recent years, the incidence of abandoned concrete roads have been increasing rapidly due to road improvements and facilities route construction, these abandoned expressway and unused roads are scattered throughout the country but the management system is not clear, they does not be an effectively managed because there is no maintenance cost. In response to these social concern and expectation, the Korea Expressway Corporation that is management authority of the expressway is developing policy initiatives and various projects to restore the closed road to ecological for eco-friendly projects of the existing expressway. And as part of these projects, Hwanggan IC unmanaged abandoned concrete roads restoration project was done and it was conducting monitoring for ecological restoration that is not one-off but sustainable. After test construction over seven years at the time, test construction of four ways enforced but the boundaries have become blurred over time. And Pinus koraiensis, Callicarpa dichotoma and Sorbaria stellipilla var. typica planted in the site are dominating, else Amorpha fruticosa and Indigofera pseudotinctoria sowed are dominating. Invasive species is that Robinia pseudoacacia was growing in the colony. Over monitoring result time, the vegetation was taking root and the ecosystem was being restore. But the disturbance of vegetation happens due to planting of tree species that doesn't fit in the restoration area and advent of ecosystem Disturbing Species. The study will be providing a basic data that identify change of plant environment by monitoring of the site and soil environment during June to November 2016 and secure an objective evaluation data by analyzing the effects of ecological restoration for revegetation test bed evaluation for ecological restoration of expressway in ecological restoration construction in later.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.722-743
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• 2012

Confronted with increasing global competition and rising research and development risks, the global open innovation has receiving increased attention. This study empirically investigates whether or not international cooperative R&D is effective by evaluating the quality indicators with the patents with international co-applications. The number of patents with international co-applications has dramatically increased in recent years. According to the results, the outcome from international cooperative R&D is prominent in term of all the evaluation criteria such as the number of citation, patent families, claims, and et cetera, compared with that from domestic cooperative R&D. Based on the patent quality, the information technology sector holds the top spot and high-tech sectors such as bio and automobile industries show the better quality performances. By identifying high betweeneess centrality in the network analysis of international cooperative R&D, the US is indicated as the most central country in such cooperative activity, and then Germany, the UK, Canada, and France come after.

• Journal of Navigation and Port Research
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• v.42 no.3
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• pp.187-194
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• 2018

Aids to Navigation (AtoN) is a marine traffic safety facility used to facilitate the safe and efficient movement of shipping and enhance the protection of the marine environment by the regulations or guidelines of The International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA). Our country is managing AtoN to provide consistent services for AtoN users, although an average of 141 AtoN accidents occur annually. An AtoN accident forces non-planned work on the managers to resort the function, and causes psychological anxiety for its users, ultimately resulting in economic losses. This study developed the Social Cost evaluation model of AtoN accidents. The model can be used to quantify the manager's economic activities related to the shutdown and recovery, as well as the cost associated with the inconvenience to AtoN users. The Social Cost evaluation model of AtoN accidents is proposed as the sum of the encounter cost, administration cost and risk cost.