• Journal of the Korean Institute of Gas
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• v.25 no.1
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• pp.1-6
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• 2021

Based on Korea's Hydrogen Economy Activation Roadmap, an annual supply of 5.26 million tonnes of hydrogen is required by 2040. But if the hydrogen production from byproduct, extraction, and electrolysis of water is not able to meet the target which is 50% of total production, it would be necessary to increase the portion of imported hydrogen. Therefore, it is essential to secure a variety of sources for overseas production. In this technical report, hydrogen production/transportation policies, current condition, and future prospects of Canada, a major supply candidate, is examined and an example of blue hydrogen project which is considered the most realistic hydrogen supply method is introduced.

• Progress in Superconductivity and Cryogenics
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• v.24 no.3
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• pp.1-6
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• 2022

The Magnetic Force Control MFC technology is very useful because of its physical treatment process. Especially the Magnetic Separation MS technology is expected to contribute to SDGs 2030, Circular Economy and Carbon neutral 2050 realization. This paper describes the review of the IFMFC activity from 2010.The IFMFC is organized by three local committees of researchers in Japan, China and Korea. The IFMFC aims to exchange the information of the development results using the MFC technology and to educate the young researchers. The forum has been held in every year around three countries. In 2020 and 2021, the forum was organized by Zoom online due to the COVID-19. The 134 presentations were made up to 2020.The breakdown of these presentations are categorized to the environment remediation52%, material resource37% and fundamental research/technology11%. The Super Conducting Magnet SCM development promotes the MFC technologies. There are some impressive backgrounds as to the brilliant SM technology applications for many different magnetism ; SCM development, High Gradient Magnetic Separation HGMS, magnetic seeding method and magneto-Archimedes effect. This paper reviews the IFMFC activity according to those presented presentations.

• Earthquakes and Structures
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• v.21 no.6
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• pp.641-652
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• 2021

Digging well foundation has been widely used in railway bridges due to its good economy and reliability. In other instances, bridges with digging well foundation still have damage risks during earthquakes. In this study, a new type of digging well foundation with prefabricated roots was proposed to reduce earthquake damage of these bridges. Quasi-static tests were conducted to investigate the failure mechanism of the root digging well foundation, and then to analyze seismic behaviors of the new type well foundation. The testing results indicated that these prefabricated roots could effectively limit the rotation and uplift of the digging well foundation and increase the lateral bearing capacity of the digging well foundation. The elastic critical load and ultimate load can be increased by 69% and 36% if prefabricated roots were added in the digging well foundation. The prefabricated roots drived more soil around the foundation to participate in working, the stiffness of the bridge pier with root digging well foundation was improved. Moreover, the root participation could improve the energy dissipation capacity of soil-foundation-pier interaction system. The conclusions obtained in this paper had important guiding significance for the popularization and application of the digging well foundation with prefabricated roots in earthquake-prone zones.

• Korean Journal of Materials Research
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• v.32 no.5
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• pp.237-242
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• 2022

Designing and producing a low-cost, high-current-density electrode with good electrocatalytic activity for the oxygen evolution reaction (OER) is still a major challenge for the industrial hydrogen energy economy. In this study, nanostructured Fe-doped CuCo(OH)₂ was discovered to be a precedent electrocatalyst for OER with low overpotential, low Tafel slope, good durability, and high electrochemically active surface sites at reduced mass loadings. Fe-doped CuCo(OH)₂ nanosheets are made using a hydrothermal synthesis process. These nanosheets are clumped together to form a highly open hierarchical structure. When used as an electrocatalyst, the Fe-doped CuCo(OH)₂ nanosheets required an overpotential of 260 mV to reach a current density of 50 mA cm^-2. Also, it showed a small Tafel slope of 72.9 mV dec^-1, and superior stability while catalyzing the generation of O₂ continuously for 20 hours. The Fe-doped CuCo(OH)₂ was found to have a large number of active sites which provide hierarchical and stable transfer routes for both electrolyte ions and electrons, resulting in exceptional OER performance.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.139-154
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• 2022

Purpose - This study aims to analyzing of solar power generation cost-benefit. Design/methodology/approach - We analyzed whether there is economic feasibility by selecting parking lots and idle sites located in four areas of Seoul, Gyeonggi, Chungcheong, Jeolla, and Gyeongsang areas nationwide, and analyzing site conditions and installation capacity. Findings - According to the results of the analysis, it was found that there is low profitability in Seoul, Gyeonggi and Chungcheong regions, where the solar radiation was not excellent even if REC is selected through the contract market. However, it is necessary to analyzed the economical validity the profitable validity including environmental benefits (greenhouse gas reduction, NOx, SOx reduction effect) and social benefits (renewable power supply) that is analyzed by income and operating costs which is occurred from electricity sales and REC sales when installing solar power generation facilities. Research implications or Originality - In this study, economic feasibility was evaluated additionally in consideration of environmental and social benefits. In conclusion, it was shown that businesses are not economical when considering only simple financial aspects are also sufficiently economical when it is considering environmental and social benefits.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.431-431
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• 2023

In recent decades, the socio-hydrology community has developed several socio-hydrological frameworks to understand the complexity of the coupled human-water system. Although there have been efforts to relate sociology and hydrology, there still have been some insights that remain debatable. As for this study, the Value-belief-norm theory was used to represent the human behavior in order to connect the human-water system. The theoretical framework of values, beliefs and norms was developed to understand the human culture towards the environment. In addition to the theory, norms are legislation of human behavior in the society while the values are the guiding principle to motivate beliefs and norms. The overview of this study implied on developing a socio-hydrological model consisting of the four systems defined as hydrology, socio-economy, technology and institutional. The interconnectors between the four systems are the key variables and parameters representing a module namely the causal loop diagram. Moreover, water quality, size of population, infrastructure capacity and norms are the key variables to connect the four systems. The developed model will be applied to Han River to represent the coevolutionary of the dynamics of human-water systems.

• Proceedings of the Korean Society of Plant Biotechnology Conference
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• 2003.04a
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• pp.39-48
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• 2003

The ornamental industry encompasses cut flower, pot plant, turfgrass and nursery stock production and is an important part of the agricultural sector. As internationally traded commodities, cut flowers and plants are an integral part of the economy of a number of developing countries in South America, the Caribbean and Africa. Genetic modification (GM) is a tool with great potential to the ornamental horticulture industry. The rapid progress in our knowledge of plant molecular biology can accelerate the breeding ornamental plants using recombinant DNA technology techniques. Not only is there the possibility of creating new, novel products the driver of the industry but also the potential to develop varieties requiring less chemical and energy inputs. As an important non-food agricultural sector the use of genetically modified (GM) ornamental crops may also be ideal for the intensive farming necessary to generate pharmaceuticals and other useful products in GM plants. To date, there are only a few ornamental GM products in development and only one, a carnation genetically modified for flower colour, in the marketplace. International Flower Developments, a joint venture between Florigene Ltd. in Australia and Suntory Ltd.of Japan, developed the GM carnations. These flowers are currently on sale in USA, Japan and Australia. The research, development and commercialisation of these products are summarised. The long term prospects for ornamental GM products, like food crops, will be determined by the regulatory environment, and the acceptance of GM products in the marketplace. These critical factors will be analysed in the context of the current legislative environment, and likely public and industry opinion towards ornamental genetically modified organisms (GMO's).

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.156-165
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• 2023

IEEE 802.15.4e-TSCH is recognized as a wireless industrial sensor network standard used in IoT systems. To ensure both power savings and reliable communications, the TSCH standard uses techniques including channel hopping and bandwidth reserve. In TSCH mode, scheduling is crucial because it allows sensor nodes to select when data should be delivered or received. Because a wide range of applications may necessitate energy economy and transmission dependability, we present a distributed approach that uses a cluster tree topology to forecast scheduling requirements for the following slotframe, concentrating on the Poisson model. The proposed Optimized Minimal Scheduling Function (OMSF) is interested in the details of the scheduling time intervals, something that was not supported by the Minimal Scheduling Function (MSF) proposed by the 6TSCH group. Our contribution helps to deduce the number of cells needed in the following slotframe by reducing the number of negotiation operations between the pairs of nodes in each cluster to settle on a schedule. As a result, the cluster tree network's error rate, traffic load, latency, and queue size have all decreased.

• Korea Trade Review
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• v.46 no.1
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• pp.59-81
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• 2021

This paper aims to analyze Korea's trade and investment performance in Spain and the business environment of Spain, and to find efficient strategies for entering into the Spanish market. This study is organized into five chapters. To begin with, it explains an overview of the Spanish economy and the current status of its major industries. Then, it analyzes Korea's trade and investment performance in Spain, the structure of comparative advantage and the trade trends of major import and export items, since 2011 when the Korea-EU FTA went into effect. Lastly, based on the results of this analysis, Korea's strategies for entering into the Spanish market are derived. The strategies derived from the analysis are as follows: (1) entering startups in the Spanish market through CVC cooperation and participation in large tech forums, (2) linking the Spanish interest in K-Culture to consumer goods exports, (3) promoting cooperation in the IT industry in response to the Spanish government's 'Connected Industry 4.0', (4) building a new Korean-Spanish value chain in response to the mobility revolution, (5) advancing jointly into a third country by combining the strengths of both Korea and Spain, (6) cooperating with the Spanish government to establish a sustainable energy policy, (7) promoting jointly with the Spanish government through smart city strategies and project exchanges, and (8) building a European logistics hub in Spain in preparation for post-Brexit.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.251-256
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• 2023

International diesel prices play a crucial role in various sectors such as industry, transportation, and energy production, exerting a significant impact on the global economy and international trade. In particular, an increase in international diesel prices can burden consumers and potentially lead to inflation. However, previous studies have primarily focused on gasoline. Therefore, this study aims to propose an international diesel price prediction model. To achieve this goal, we utilize various global economic indicators and train a linear regression model, which is one of the machine learning methodologies. This model clearly identifies the relationship between global economic indicators and international diesel prices while providing highly accurate predictions. It is expected to aid in understanding overall economic trends including market changes.