• Journal of the Korean Applied Science and Technology
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• v.35 no.1
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• pp.247-253
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• 2018

To replace the imported biomass and to effectively cope with growing RPS(Renewable Portfolio Standard) in power sector, the domestic forest biomass resources for wood pellets were estimated from the preceding research and annual growth rate of forest trees in this study. Assuming that 20% of the by-product from forest trees processing were used as raw material for wood pellet and the wood pellet production capacity was based on the average value derived from the above two methods, unused by-product and residues generated 1.99million tons in 2016, 2.28million tons in 2020 and 3.08million tons in 2030. If 20% of by-products(pebbles, sawdust, etc.) from roundwood processing were used as raw material for wood pellets, the wood pellet could be produced 2.74million tons/year in 2016, 2.95million tons/year in 2020, 3.98million tons/year in 2030. Therefore, total amounts of wood pellet would be increased to 2.74million tons/year in 2016, 3.14million tons/year in 2020, 4.23million tons/year in 2030 when it considered unused by-product and residues from wood processing as raw materials.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.172-194
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• 2010

External costs emerge as a consequence of negative external effects. The EU commission and national government in Europe made themselves the internalization of external costs and began to make various measures. The traffic sector plays an important role. At the same time, it affects as financial loads to logistics service providers and carriers in Europe. This study examines current development in european logistic market conditions. It describes the reaction of different market players and stakeholders in the logistic value chain in EU, Switzerland and Germany. A portfolio of different strategic answers to the changing market environment is being developed. Therefore, different options for the internalization of external costs are proposed. This study finally derives propositions for future research.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.1
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• pp.86-93
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• 2015

Recently, the development of Maritime Service Portfolios (MSPs) for the safe navigation of ship has been discussed internationally. For the successful service of the MSPs, first of all, studies for the standardization about the structure and data structure of MSPs should be preceded. Also, it is necessary to evaluate and assess whether the services are effective for safe navigation, and provided data and portrayal methods are proper. However, because great dangers will be accompanied when untested MSPs about their effectiveness and safety are applied in real ship navigation, it is necessary that effectiveness and safety of the MSPs should be proven under various navigational conditions and environments by simulation. In this paper, we propose a 3D navigation simulation system using desktop PC environment, which is proper for evaluating the effectiveness of MSPs. The system consists of three modules which are simulation scenario editor, 3D visualization of navigational environment and 2D navigational equipment. The scenario editor module provides an environment setting for simulation, such as properties, routes and positions of vessels and aids to navigations. It also provides functions to create a scenario for the simulation to operate. Additionally, the 3D visualization module provides 3D navigational environment which shows interplay between geographical and navigational environment based on the created scenario. The 2D navigational equipment module provides visualization functions of various navigational equipment, shows the interaction between ship's navigational equipment and ship's environment. The simulation scenario, in which various kinds of ships are routing in the port, is created by the developed simulation system, and experimented whether this developed system is appropriate to evaluate and assess the MSPs developed by the International Maritime Organization.

• Journal of Mushroom
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• v.18 no.3
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• pp.280-285
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• 2020

The production and consumption of fresh mushrooms has been increasing worldwide because of the health benefits of the dietary fiber and antioxidant components. Using 142 valid patents from five countries, trends in postharvest technology patents were analyzed and categorized into packaging and storage. The patent portfolio index showed that the number of patents for postharvest storage technology is growing, with the number of both approved patents and applications increasing from the third to the fourth time period, albeit the overall growth pattern suggests that this is a recovery stage. Notably, Korea showed an increasing trend in the number of patent applications related to postharvest technologies, although the number of patent applications was smaller than that of China. Our study describes trends in technical patents that support the performance of new postharvest projects of fresh mushrooms.

• Journal of Engineering Education Research
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• v.4 no.1
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• pp.3-19
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• 2001

According to the acceleration of informationalization and technological renovation in new coming $21^c$, the material production elements like labor and capital as well as others which have been the resources of a country's competitive power are changing into formless knowledge-based assets like knowledge and technology. In order to meet these demands of this time, companies in developed countries are concentrating on competition and cooperation to obtain higher technology as a strategy towards becoming first-class countries in the world. Thus, the development program of human resources should focus on providing creative technical application ability. Especially, universities should develop knowledge, technology, creative problem-solving ability and realism acquired by various fields in industry where engineering is used and make it possible to perform practical tasks. As a plan for enforcement and management of this program, a certification program which evaluates the ability and accomplishments of the study of graduate students in order to manage the quality of education should be applied as soon as possible at the institute which trains engineers. In this study, among the accomplishment assessment which have been suggested as an alternative assessment method, portfolio assessment is introduced into the educational situation of engineering technological human resources to find a method of application.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.80-89
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• 2018

World Bank projects enable Korean engineering firms to enter new markets and diversify their portfolio. These firms need to understand the critical factors for bidding success in such projects. The World Bank publishes as open records all their bidding history data in their open database. This provides an opportunity to identify empirically the factors that determine which firms on chosen. This research collected relevant bid data, focusing on Indonesia, to perform a logistic regression with the goal of statistically identifying significant factors that result in bidding success. Results showed that work experience, being included in a consortium, and having a local partner positively affected winning a bid. On the other hand, having a local competitor of the recipient country negatively impacts the chances of attaining a bid. Commensurately, Korean engineering firms need to increase their work experience in internationally recognized projects, and include a local partner as a joint venture partner to increase their chances, while refrain from conventional projects that can be performed by local engineering firms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.5810-5818
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• 2015

The dissertation presents the portfolio construction method using the score sheet so that general investors can utilize it easily. This study draws the significant variables to contribute the enterprise value and suggests the combined models by applying the single methodology, which private investors can easily utilize. The results of the research can be classified into 2 areas. Firstly, the significantly affecting variables were selected for analyzing the enterprise value. The variables and the method for the enterprise value analysis were studied from the existing researches to choose the optimal variables. The variables were identified by using AHP method and the structure equation method from the investigation of the previous researches. And the critical variables were added extracted from the common denominator of variables which the 3 grue investors used for their investment. The final variables identified are dividend yield, PER, PBR, PCR, EV/EBITDA, ROE, net income, sales growth rate, net current asset, debt ratio, current ratio, rate of operating profits, ratio of operating profit to net sales, ratio of net income to net sales, net profit to total assets, EPS growth rate, inventory turnover ratio, and receivables turnover. Second, the new methodologies for forecasting enterprise value modifying the existing methods were developed. The result of the Logistic regression analysis for forecasting showed that the equation could not be suitable as the accuracy with 91.98%.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.697-703
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• 2022

Due to the recent economic downturn caused by Covid-19 and the unstable international situation, many investors are choosing the derivatives market as a means of investment. However, the derivatives market has a greater risk than the stock market, and research on the market of market participants is insufficient. Recently, with the development of artificial intelligence, machine learning has been widely used in the derivatives market. In this paper, reinforcement learning, one of the machine learning techniques, is applied to analyze the scalping technique that trades futures in minutes. The data set consists of 21 attributes using the closing price, moving average line, and Bollinger band indicators of 1 minute and 3 minute data for 6 months by selecting 4 products among futures products traded at trading firm. In the experiment, DNN artificial neural network model and three reinforcement learning algorithms, namely, DQN (Deep Q-Network), A2C (Advantage Actor Critic), and A3C (Asynchronous A2C) were used, and they were trained and verified through learning data set and test data set. For scalping, the agent chooses one of the actions of buying and selling, and the ratio of the portfolio value according to the action result is rewarded. Experiment results show that the energy sector products such as Heating Oil and Crude Oil yield relatively high cumulative returns compared to the index sector products such as Mini Russell 2000 and Hang Seng Index.

• Korea Trade Review
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• v.41 no.2
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• pp.203-229
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• 2016

Korean general trading companies had started their business to benchmark and to adopt the successful new business models of the Japanese ones. Nevertheless, the strategic gaps between Korean and Japanese GTCs, Sogo-Shosha, still exist, including financial profitability and managerial competencies. In this regard, it is academically and practically required to find out the differences between Korean and Japanese GTCs. This study overviews the previous researches and the business cases to understand the features of GTCs and to get recent and meaningful factors which are related with the rebirth of Sogo-Shosha. Thereafter, in-depth interviews with industry experts and scholars and subsequent investigations were also conducted to suggest meaningful implications for both academicians and practitioners with the found factors. This study suggests four fundamental differences between the Korean and Japanese GTCs: ① the origin and growth path, ② business ownership, governance strategies and contracts management, ③ availabilities of investment portfolio and risk management, ④ business operation system and organizational culture. This study suggests meaningful implications for Korean GTCs to apply the experiences and lessons learned from Japanese Sogo-Shosha into their own business.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.635-647
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• 2006

Korean construction companies first advanced to the international markets in 1960's and so far have brought more than 4,900 projects which account for 193 billion dollars approximately. With the large increase of national employment and income being followed by the achievement, Korea's construction industry has made an enormous contribution to the improvement of domestic economy for the last 40 years. However, recently the increased risk in international markets as well as the sharpening competition with foreign companies promising in terms of advanced technologies and low labor cost have been driving Korean construction away from the market shares. According to ENR (Engineering News Record, 1994~2003), it is revealed that 15.1% of top 225 global contractors are suffering from loss in international construction markets. This phenomenon is largely due to the highly uncertain characteristics of international projects, which are inherently exposed to various and complicated risky situations. Furthermore, especially for Korean construction companies, it is often the case that the failure in an international construction project cannot be offset by even a sufficient number of successful domestic achievements. Therefore, not only the selective screening among the nominated projects which have strong possibility of collapse but the systematic strategies for controlling potential risk factors are also considered indispensable in international construction portfolio management. The purpose of this study is to first analyze the causal relationships of the profit-influencing variables and the project success, and develop the profitability forecasting model in international construction projects.