• International Commerce and Information Review
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• v.11 no.1
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• pp.95-116
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• 2009

Korea-Us FTA negotiation started in February 2006 with a view to overcoming those uncertainties in the global market and was finally concluded in April, 2007. The Agreement was officially signed between ministers two month later and it is expected to be ratified this year even though the process is most likely to be painful in both countries by the political resistances. For the new President of the United States, effective leadership will depends largely on how to encourage domestic industries such as Automobile industry and Iron and Steel industry from the financial crisis. Many trading partners of US worry about US foreign trade policy changes to protectionism that might be unequal to bear. Korea textile industry is one of the major industry in Korea as it occupies 15% of total number of manufacturers, 11% of total employment and 5% of national GDP. Korea-US FTA will provide a breakthrough for bouncing back by exploring new market. US agreed to remove all tariff and non-tariff barriers to 87% of textile items under trading. This study shows that Korean textile industry has been losing it's competitiveness as textile quota system abolished in the year 2005 and has been traced by pursuers such as China, India and Vietnam. In case of woven fabric which was a representing export item of Korea lost price competitiveness against China after 2005. This study seeks the strategy of Korea textile industry in the US market by utilizing the capacity of KOTRA offices in US. All possible statistical data obtained in the US were used for analysing the competitiveness. Fabrics and Garments are analysed independently with a view to finding out real trends of textile market in US. This study also suggest Korea's textile industry strategic ideas obtained from the potential buyers to show the way to penetrate into US market.

• Journal of Korea Game Society
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• v.16 no.6
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• pp.79-90
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• 2016

Recently, many researchers have paid attention to the improved generation of AI agent in the area of game industry. Monte-Carlo Tree Search(MCTS) is one of the algorithms to search an optimal solution through random search with perfect information, and it is suitable for the purpose of calculating an approximate value to the solution of an equation which cannot be expressed explicitly. Games in Trading Card Game(TCG) genre such as the heartstone has imperfect information because the cards and play of an opponent are not predictable. In this study, MCTS is suggested in imperfect information card games so as to generate AI agents. In addition, the practicality of MCTS algorithm is verified by applying to heartstone game which is currently used.

• Journal of the Korean Institute of Navigation
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• v.19 no.2
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• pp.23-75
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• 1995

A major change occuring in the workplace is the willingness of union leaders, managers, and workers to experiment with various work schedules and to work toward the improvement in the QWL(quality of work life). In this study, the writer measures the level of QWL, embodies components of QWL, testifies the difference of QWL according to the demographical traits, and develops some scales to measure QWL in merchant ships. To achieve objectives of the paper, 11 hypotheses were established and a questionnaire was used, 894 proper data was obtained from 2, 910 Korean seamen working in merchant ships. Results of analyses are as follows : 1) The components of QWL in merchant ships are job, employee satisfaction, wage, welfare, working condition, supervise, colleague relations, initiative, and organization management. 2) Seamen of merchant ships are satisfied with job, supervise, colleague relations, and organization management. They are dissatisfied employee satisfaction, wage, welfare, and working condition. 3) According to demographical traits, the number of the factors significant difference(P<0.05) among components of QWL are 9 for type of ships, 8 ages of seamen, 7 for married or single, nationality of ships, and education level respectively, 5 for seamen career, for 4 rank on board and trading route of ships respectively, 2 for whether union or not and whether union involvement or not respectively, and 1 for department on board. 4) Results which tested hypotheses are as follows : For the components of QWL, married men are more satisfactory than an unmarried men, officers are more dissatisfactory than ratings, old men are more satisfactory than young men, men in high education level are more dissatisfactory than men in low education level, those who are much careers as a seaman are more satisfactory than those who are little careers as a seaman. There are significant differences in the components of QWL according to nationality and type of ships. There are insignificant differences in the components of QWL according to the shipboard department, whether union is or not, whether union involvement is or not, and trading route of ships.

• Journal of the Korean Institute of Navigation
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• v.18 no.3
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• pp.81-103
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• 1994

Increasing costs and competition in the global trade and transportation arena have led to a search for effient, cost-effective, particularly through the application of computer and information technologies. Most recently the introduction of Electronic Data Interchange(EDI) technologies in both trading and trade facili-tation activitiess have bagun to change the complextion of the international transport space. Korea as well as the other developing countries has become aware of the need to embrace EDI strate-gies in order to maintain a competitive market position with their more technologically advanced neighbou-ring and international trading partners. A way of EDI implementation, KMPA has invested large budgets in the research of the EDI since 1990. As the result of study in EDI of transport, KL-Net(Korea Logistics Network) was organized for the EDI business in cargo logistics. In spite of these KMPA's activities, the development plan of container logistics data interchange is not good and useful. So a new model of EDI in transportation is required by using the concepts of cargo data sharing. The purpose of this paper is to suggest a new way of container logistics data interchange model. This paper therefore analyze the information flow in the current container logistics and find the problem in the area to derive a new model. The followings are the results of this paper : (1) There are many problems and user's requirements in container logistics data interchange in Korea. (2) Many messages of UN/EDIFACT are able to be used in container logistics data interchange. (3) The container cargo data are stored in Container Logistics Network(CL-Net) database. And when necessary by requesting message transmission, the container logistics data interchange is possible. (4) Customs cargo clearance system and PORT-MIS can be linked to CL-Net. If the systems, however, are to introduce EDI in data interchange, the quality of user's software has to be assured.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.230-236
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• 2011

This paper proposes the possibility which the fuzzy theory can be used to improve the performance of the parabolic SAR(Stop-And-Reverse) indicator in the trading systems for stock market. The simulation results with data of the KOSPI 200 future show that the occurred number of trading signals and the false signals in the proposed fuzzy SAR indicator is less than that in the conventional SAR indicator. In the conventional SAR system, the incremental value of the acceleration factor is usually setted as 0.02 and the maximum value of the acceleration factor is usually limited as 0.2. But in the proposed fuzzy SAR system, the incremental value and the maximum value of the acceleration factor are automatically adjusted by using the fuzzy rules, which are designed based-on the difference between short-term moving average and medium-term moving average and also based-on the slope of short-term moving average.

• Journal of the Korea Concrete Institute
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• v.28 no.6
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• pp.713-722
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• 2016

The goal of this study was to assess the seismic performance of hollow cast-in-place and precast reinforced concrete bridge columns with triangular reinforcement details. The developed material quantity reduction details are economically feasible and rational, and facilitate shorter construction periods. By using a sophisticated nonlinear finite element analysis program, the accuracy and objectivity of the assessment process can be enhanced. The used numerical method gives a realistic prediction of seismic performance throughout the input ground motions for several hollow column specimens investigated. As a result, triangular reinforcement details were designed to be superior to the existing reinforcement details in terms of required seismic performance.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.819-829
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• 2017

The aim of this study is to analyze intraday price momentum. When price trends are formed, price momentum is the phenomenon that future prices tend to follow the trend. When the market opened and closed, a U-shaped trading volume pattern in which the trading volume was concentrated was observed. In this paper, we defined price momentum as the 10 minute trend after market opening is maintained until the end of market. The strategy is to determine buying and selling in accordance with the price change in the initial 10 minutes and liquidating at closing price. In this study, the strategy was empirically analyzed by using minute data, and it showed effectiveness, indicating the presence of an intraday price momentum. A pattern in which returns are increasing at an early stage is called a J-shaped pattern. If the J-shaped pattern occurs, we have found that the price momentum phenomenon tends to be stronger than otherwise. The DTW algorithm, which is well known in the field of pattern recognition, was used for J-shaped pattern recognition and the algorithm was effective in predicting intraday price movements. This study showed that intraday price momentum exists in the KOSPI200 futures market.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2609-2614
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• 2015

National research and development projects institutions have implemented various measures in order to prevent R&D expenses abuse and negate enforcement. but it reveals a limit to prevent abuse of R&D expenses[1,2]. In this paper, to prevent abuses resulting from the R & D for the unusual trading post caught collecting information from the R & D phase implementation plan to detect unusual transactions. The results are subjective and research institutions, and specialized agencies to take advantage of shared, real-time cross-linkage between the credit card companies. Studies of data quality diagnostic techniques developed for this purpose related regulations and manuals, Q & A, FAQ, Outside-in business rules that derive from a variety of information, such as personnel interviews (Outside-In) was used for analysis.

• Journal of IKEEE
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• v.23 no.3
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• pp.852-857
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• 2019

In order to manage the demand resources of project participants and to provide appropriate strategies in the virtual power plant's power trading platform for consumers or operators who want to participate in the distributed resource collective trading market, it is very important to forecast the next day's demand of individual participants and the overall system's electricity demand. This paper developed a power demand forecasting model for the next day. For the model, we used LSTM algorithm of deep learning technique in consideration of time series characteristics of power demand forecasting data, and new scheme is applied by applying one-hot encoding method to input/output values such as power demand. In the performance evaluation for comparing the general DNN with our LSTM forecasting model, both model showed 4.50 and 1.89 of root mean square error, respectively, and our LSTM model showed high prediction accuracy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.112-114
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• 2022

This paper proposes an E-Commerce service that supports large quantities of food waste sales generated by collective residences, including apartments, to consumers in urban areas, such as livestock farmers, through online transactions. Unlike general E-Commerce, the proposed service uses a smart food waste bin equipped with an IoT-based sensor and communication module to automatically collect the location information of each apartment and the amount of food waste to be displayed in a specialized E-Commerce platform. The key of this system is to provide information and sell it to consumers. The smart food waste bin periodically delivers its current capacity and location using a weight sensor, GPS sensor and LoRa communication module to a cloud-based database to be used in web or mobile applications. The proposed E-Commerce service is expected to help resolve the food waste disposal problem and revitalize the local economy by linking with a service that delivers food waste from each apartment to a nearby location where the buyer is located.