• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.590-592
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• 2003

The presence of congestion in transmission system can reduce the market size and split bulk system into smaller system. Consequently, this creates the problem concerining Local Market Power and can be main reason for the inclose of practical market price. In this paper, a range of indices have been derived to quantify the degree of local market power through statistical analysis in the uniform pricing market. Application of the indices has been illustrated using the electricity market in Korea. The indices proposed in this paper seem to be effectively applied in electricity market under uniform pricing scheme.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.787-789
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• 2013

A lot of applications are being developed as a result of popular smart machinery. Especially, Android OS that has high market share in smart phone market, applications are being developed and resulted. response time is delayed because service process of application do not work well although the space for using resource is enough. The purpose of this paper, analysis tool analyze response time of application to grope for an answer to the question about delayed response time of application.

• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.195-204
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• 2008

Textile industry of Domestic has beeb confronted with Free Trade, and Regional Trade Blocks. In addition, textile industry market is changing from the provider market-oriented to consumer-driven market. RFID is the core technology to correspond in the these environmental change. In this study, we reviewed characteristic and present condition of domestic textile industry and newest technology aspect of RFID. Also, we suggested application plan of RFID technology in textile industry through the analyzing RFID application case of domestic and outside the country textile industry. More precisely, it is propsed that tracking, inspecting and logistics management of raw materials or yarn in up-stream, and Development hysteresis and process management of textile fabrics in middle-stream sector, theftproofing or returning clothes and providing information of products in down-stream sector, through RFID Technology.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.111-115
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• 2008

Textile industry of Domestic has been descended in the sector of design, brand, recognition comparing with developed countries. And products of middle and low price do not have competitiveness against developing countries. In addition, textile industry market is changing from the provider market-oriented to consumer-driven market. RFID(Radio Frequency Identification) is the core technology to correspond in the these environmental change. RFID is a technology that is used to communicate with identified objects using radio waves, so that the objects can be recognized, tracked and traced. In this study, we reviewed characteristic and present condition of domestic textile industry and newest technology aspect of RFID. Also, we suggested application plan of RFID technology in textile industry through the analyzing RFID application case of domestic and outside the country textile industry.

• Korean System Dynamics Review
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• v.3 no.2
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• pp.29-48
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• 2002

Most of companies have analyzed markets continually and founded market strategies based on these analyses to gain competitive advantage. But sometimes some mistaken market analyses make the strategic decision-making of companies bring unexpected results. This because many companies just research or consider only the present condition, so they can't reflect dynamic change and the delayed feedback effect and then found the market strategy in the short-term angle rather than analyze the structural features of market on the whole. For that reason, this paper will describe how effective system thinking and system dynamics are as they found strategy of company for solving the problems and trying to find better alternative proposal by explaining process of founding market strategy with a casual loop diagram and a simulation model in the local government server market.

• Journal of the Korea Fashion and Costume Design Association
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• v.1 no.1
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• pp.109-126
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• 1999

This study focused on the possibility of Saeng Whal Hanbok's(S.H. moderniged korean traditional cloths) new marketing system with the application of internet marketing. The fast growth and changes of S.H's environment wants renovation in the market. The raerness of data in the field of S.H restricted this research within the future development alternatives not the market itself. Result of the study suggests that internet marketing could applicated in S.H marketing especially to the younger generation.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.176-178
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• 2001

This paper presents the application draft of ancillary services for Korean Wholesale Electricity Market. This application draft of ancillary services is based on technical rules for ancillary services agreements prepared by KEMA and the present conditions of KEPCO system operations and future directions.

• Journal of Industrial Convergence
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• v.15 no.1
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• pp.43-52
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• 2017

Robot refers to machines that recognize the external environment and assess the given situations in order to operate autonomously by imitating the manner in which humans behave. Although Korea still lacks global competitiveness, Korea, as the $4^{th}$ ranked robot manufacturing country in the world, is currently expanding the domains of robots from application in manufacturing to application in service provision. Accordingly, this study aims to analyze the factors for the success in entry into the cooperation robot market among various robotic markets in accordance with the literary research method in consideration for the importance of robot industry that could determine the future national competitiveness. The result of the analysis of the factors for the success in entry into the cooperation robot market, shows that factors including analysis of the trends in manufacturing robot market, strategy for benchmarking of the leading cooperation robot companies, activation of small and medium enterprise-centered cooperation robotic industry, excavation of demands for cooperation robots with focus on automobile, semiconductor and IT industries, utilization of the opportunities provided by government's robotic industry policies and standardization of cooperation robot components, etc. determine whether one will succeed in the market or not. Furthermore, it is believed that fortification of competitiveness of the manufacturing sector through the powerful policy support for the robotic industry at government level and policies on cultivation of new growth engine through specialization of the robotic areas closely related to daily life must be implemented concurrently because it is forecasted that competitiveness in robotics technology will become the criterion for national competitiveness in the future.

• The Korean Journal of Food & Health Convergence
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• v.10 no.1
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• pp.1-6
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• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.31-43
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• 2014

Large number of Android mobile application has been developed and deployed through the Android open market by increasing android-based smart work device users recently. But, it has been discovered security vulnerabilities on malicious applications that are developed and deployed through the open market or 3rd party market. There are issues to leak user's personal and financial information in mobile devices to external server without the user's knowledge in most of malicious application inserted Trojan Horse forms of malicious code. Therefore, in order to minimize the damage caused by malignant constantly increasing malicious application, it is required a proactive detection mechanism development. In this paper, we analyzed the existing techniques' Pros and Cons to detect a malicious application and proposed discrimination and detection result using malicious application discrimination mechanism based on Jaccard similarity after collecting events occur in real-time execution on android-mobile devices.