• The Journal of Fisheries Business Administration
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• v.54 no.3
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• pp.93-114
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• 2023

Around the 1980s, with government's promotion and dissemination policies for FRP (Fiberglass Reinforced Plastics) of the government as a main material of fishing boats, approximately 97% of the entire fishing boats in Korea have utilized FRP until now. Nevertheless, diverse social and environmental issues have emerged due to the susceptibility to fire and the generation of substances detrimental to human health during the construction process of FRP fishing vessels. Especially, the high disposal cost and the limitation of recycling technology in the disposal process of FRP fishing boats have elicited attention to circular economy. This research intended to grasp the management status and problems of disposed FRP fishing boats in Korea, and to assess the level of competitive advantage of FRP fishing boats' recycling technologies of FRP fishing boats based on VRIO (Value, Rarity, Imitability, Organization) analysis through domestic and foreign management policies and related recycling examples. According to the survey of 161 respondents, including the industry, stakeholders and experts related to the collection, treatment and recycling of fisheries wastes, it was revealed that FRP fishing boats' recycling technologies of FRP fishing boats are at the level of 'unused competitive advantage' that satisfied the level of value, rarity and imitability, but not the level of organization.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.1
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• pp.34-39
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• 2008

Nash Equilibrium(NE) is essential to investigate a participant's bidding strategy in a competitive electricity market. Congestion on a transmission line makes it difficult to compute the NE due to causing a mixed strategy. In order to compute the NE of a multi-player game, some heuristics are proposed with concepts of a key player and power transfer distribution factor in other studies. However, generation capacity constraints are not considered and make it more difficult to compute the NE in the heuristics approach. This paper addresses an effect of generation capacity limits on the NE, and suggest a solution technique for the mixed strategy NE including generation capacity constraints as two heuristic rules. It is reported in this paper that a role of the key player who controls congestion in a NE can be transferred to other player depending on the generation capacity of the key player. The suggested heuristic rules are verified to compute the mixed strategy NE with a consideration of generation capacity constraints, and the effect of the generation constraints on the mixed strategy NE is analyzed in simulations of IEEE 30 bus systems.

• Journal of the Korean Solar Energy Society
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• v.36 no.1
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• pp.63-73
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• 2016

How effectively a wind farm captures high market prices can greatly influence a wind farm's viability. This research identifies and creates an understanding of the effects that result in various capture prices (average revenue earned per unit of generation) that can be seen among different wind farms, in the current and future competitive SMP (System Marginal Price) market in South Korea. Through the use of a neural network to simulate changes in SMP caused by increased renewables, based on the Korea Institute of Energy Research's extensive wind resource database for South Korea, the variances in current and future capture prices are modelled and analyzed for both onshore and offshore wind power generation. Simulation results shows a spread in capture price of 5.5% for the year 2035 that depends on both a locations wind characteristics and the generations' correlation with other wind power generation. Wind characteristics include the generations' correlation with SMP price, diurnal profile shape, and capacity factor. The wind revenue cannibalization effect reduces the capture price obtained by wind power generation that is located close to a substantial amount of other wind power generation. In onshore locations wind characteristics can differ significantly/ Hence it is recommended that possible wind development sites have suitable diurnal profiles that effectively capture high SMP prices. Also, as increasing wind power capacity becomes installed in South Korea, it is recommended that wind power generation be located in regions far from the expected wind power generation 'hotspots' in the future. Hence, a suitable site along the east mountain ridges of South Korea is predicted to be extremely effective in attaining high SMP capture prices. Attention to these factors will increase the revenues obtained by wind power generation in a competitive electricity market.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.6
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• pp.269-275
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• 2002

Recently, Korea's electric industry has experienced substantial changes in its structure and function including the introduction of competition in the generation sector. Korea is in the early stages of market competition where the market price is determined by generation costs. In the future, the market Price will be determined by generators'bids. Therefore, the generators'profit is determined by market pool price, the prospects of pool price are very important for new capacity investment decision made by generators and IPPS. This study analyzes hourly marginal costs and LOLP considering basic generation mix and characteristics develops the relationship of pool price and Profit by generation-type using the change in reserve margin, and proposes basic direction for profits variation and supply-demand analysis in the electricity market in future.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.1
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• pp.87-99
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• 2004

In this paper, we have developed a technology-service relationship model which describes the diffusion process of a group of services and relevant technologies, and have applied the developed model to the prediction of the number of subscribers to the next generation mobile service. The technology-service relationship model developed in this paper incorporates the developing process of relevant technologies, a supply-side factor, into the diffusion process of specific services, while many diffusion models and multi-generation diffusion models in previous researches are mainly reflect the demand-side factors. So, the proposed model could effectively applied to the telecommunication services where the developing of the relevant technologies are very essential to the service Penetration. In our application, the Proposed model provides a competitive substitution between the next generation mobile service and the traditional mobile service.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.429-431
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• 2001

The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilization of their own generation equipments. This paper represents on generator maintenance scheduling and efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

• Journal of Sport and Applied Science
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• v.8 no.3
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• pp.13-19
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• 2024

Purpose: This study aims to investigate the consumption patterns of the MZ generation in relation to eSports and traditional professional sports, focusing on the similarities and differences in spending behavior on game items and professional sports viewing. Research design, data, and methodology: The research utilizes a comparative analysis of eSports and professional sports consumption trends within the MZ generation. Data was collected through surveys targeting MZ generation consumers and analyzed using statistical methods to assess the impact of consumption behaviors on spending. The study particularly focuses on the expenditure behaviors in game items (eSports) versus traditional sports viewing expenses. Results: The analysis revealed that the MZ generation displays distinct consumption behaviors between eSports and traditional sports. eSports consumption is characterized by higher spending on in-game items, driven by personalization and competitive advantages, whereas spending on professional sports viewing is influenced by fan loyalty and event participation. Conclusions: The findings underscore the growing economic significance of eSports, driven by the unique consumption behaviors of the MZ generation. These insights suggest that the eSports industry should continue to adapt its strategies to capitalize on this trend, while traditional sports organizations may need to innovate in engagement strategies to maintain consumer interest and expenditure.

• KIEE International Transactions on Power Engineering
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• v.5A no.4
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• pp.331-338
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• 2005

In this paper, an improved maintenance scheduling approach suitable for the competitive environment is proposed by taking account of profits and costs of generation companies and the formulated combinatorial optimization problem is solved by using Reactive Tabu search (RTS). In competitive power markets, electricity prices are determined by the balance between demand and supply through electric power exchanges or by bilateral contracts. Therefore, in decision makings, it is essential for system operation planners and market participants to take the volatility of electricity price into consideration. In the proposed maintenance scheduling approach, firstly, electricity prices over the targeted period are forecasted based on Artificial Neural Network (ANN) and also a newly proposed aggregated bidding curve. Secondary, the maintenance scheduling is formulated as a combinatorial optimization problem with a novel objective function by which the most profitable maintenance schedule would be attained. As an objective function, Opportunity Loss by Maintenance (OLM) is adopted to maximize the profit of generation companies (GENCOS). Thirdly, the combinatorial optimization maintenance scheduling problem is solved by using Reactive Tabu Search in the light of the objective functions and forecasted electricity prices. Finally, the proposed maintenance scheduling is applied to a practical test power system to verify the advantages and practicability of the proposed method.

• Journal of Energy Engineering
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• v.11 no.1
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• pp.59-66
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• 2002

The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilizing strategies of their own generation equipments. This paper presents on generator maintenance scheduling and efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

• Journal of Korea Multimedia Society
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• v.10 no.4
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• pp.470-482
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• 2007

In this paper, we classify next generation mobile communications services into service categories and develop service evolution scenarios for developing the next generation mobile communications service roadmap in NGMC Forum. Firstly, Service categories are defined based on the purpose of service usage. Secondly, the services are classified into the categories and their relationship is analyzed. The candidates of services to be classified and analyzed include all kinds of services discussed in a conceptual level as well as current mobile/Internet services. Finally, we develop a service evolution scenario in each service category. When the next generation service road map is developed based on the results of this paper, it is expected to secure the initiative and enhance the competitive edge in the field of the next generation mobile communications.