• Journal of the Korean Society of Marine Environment & Safety
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• 제27권5호
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• pp.574-583
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• 2021

Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.

• The Journal of the Korea Contents Association
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• 제19권8호
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• pp.205-213
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• 2019

A number of small and medium design companies in Korea are making efforts to develop distinguished products with an aim to survive and prosper. However, it is quite difficult to succeed due to insufficient experience in product planning and the challenges in applying known methodologies, which are based on a large amount of data presented as best practices in designing process, in the actual small and medium enterprise operations. To this end, this study suggested the usefulness of the user participation process as the methodology for small and medium design companies and chose the user FGD method implemented by Company P which is a small design company as an empirical case study. The following are the processes used in the case study; First, the problems of existing baby bath were derived through user FGD. Second, opinions were collected from various classes of users through in-depth interviews. Third, the ideas derived were analyzed with the KJ method and grouped based on similar elements, through which six design directions and detailed design concepts covering size, material, safety, purchase factors of existing product, direction of improvement, additional elements were derived. Through the case study, this study verified that the FGD method of Company P could improve the practical verification, integration and promptness of the product planning process in small and medium enterprises. This is valuable as a realistic process that small and medium enterprises with limited capital and manpower may adopt.

• Journal of Internet Computing and Services
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• 제21권6호
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• pp.13-21
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• 2020

The Android author identification study can be interpreted as a method for revealing the source in a narrow range, but if viewed in a wide range, it can be interpreted as a study to gain insight to identify similar works through known works. The problem found in the Android author identification study is that it is an important code on the Android system, but it is difficult to find the important feature of the author due to the meaningless codes. Due to this, legitimate codes or behaviors were also incorrectly defined as malicious codes. To solve this, we introduced the concept of survival network to solve the problem by removing the features found in various Android apps and surviving unique features defined by authors. We conducted an experiment comparing the proposed framework with a previous study. From the results of experiments on 440 authors' identified apps, we obtained a classification accuracy of up to 92.10%, and showed a difference of up to 3.47% from the previous study. It used a small amount of learning data, but because it used unique features without duplicate features for each author, it was considered that there was a difference from previous studies. In addition, even in comparative experiments with previous studies according to the feature definition method, the same accuracy can be shown with a small number of features, and this can be seen that continuously overlapping meaningless features can be managed through the concept of a survival network.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제22권1호
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• pp.409-414
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• 2021

Tightness performance that blocks compartments is important for surface ships to achieve superior mission performance and survivability in combat environments. To meet the above requirements, airtightness of the structural elements and the appropriate strength to specific areas are checked during a test run after ship construction. In particular, air tests of compartments adjacent to the water surface are performed. In an air test, air is injected into the compartment up to the test pressure of the test memo. The pressure drop value is checked after 10 minutes to determine if the requirements of the corresponding area are satisfied. In summer, however, when the influence of the outside temperature is large, a phenomenon in which the internal pressure increases during the air test was identified. This phenomenon reduces the reliability of the test result. Therefore, a system was designed to compensate for temperature changes in the compartments through this study. The developed system calculates the amount of pressure change caused by a temperature change in the compartment and outputs a correction value. The pressure change was calculated using the ideal gas equation, reflecting the maintenance, increase, and decrease in temperature during the test process. A comparison of the calculated pressure correction value with the database of NIST REFPROP revealed a difference of 0.126% to a maximum of 0.253%.

• Journal of Life Science
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• 제32권6호
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• pp.463-467
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• 2022

As a result of applying the COG (Cluster of Orthologous Groups of Protein) algorithm to 1,309 species to confirm the conserved genes of prokaryotes, ribosomal protein S11 (COG0100) was identified. The numbers of conservative genes were 2, 5, 5, and 6 in 1,308, 1,307, 1,306, and 1,305 species, respectively. Twenty-nine genes were conserved in over 1,302 species, and they encoded 23 ribosomal proteins, 3 tRNA synthetases, 2 translation factors, and 1 RNA polymerase subunit. Most of them were related to protein production, suggesting the importance of protein expression in prokaryotes. The highest conservative COG was COG0048 (ribosomal protein S12) among the 29 COGs. The 29 conserved genes usually have one protein for each prokaryote. COG0090 (ribosomal protein L2) had not only the lowest conservation value but also the largest standard deviation of phylogenetic distance value. As COG0090 is not only a member of the ribosome, but also a regulator of replication and transcription, it could be inferred that prokaryotes have large variations in COG0090 to survive in various environments. This study could provide data necessary for basic science, tumor control, and development of antibacterial agents.

• Journal of Industrial Convergence
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• 제20권8호
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• pp.1-13
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• 2022

Although the number of venture start-ups has increased significantly, it is difficult to judge the success or failure based on short-term performance alone. The survival of a company cannot be guaranteed if it does not show sustainable growth prospects. As a growth factor for venture companies, the level of technology commercialization capability and competitive strategies are considered important. Recently, the emergence of innovative business models is creating new opportunities and driving the growth of numerous venture start-ups. This study tried to investigate the mediating effect of business model innovation in the relationship between technology commercialization capability, competitive strategy and the growth prospects of venture companies. For this, empirical analysis was conducted using the original data of the Research on the Precision Status of Venture Firms 2021. As a result, production, manufacturing, marketing capability, cost leadership and product differentiation had a positive(+) effect on growth prospects. The mediating effect of business model innovation between all factors except for manufacturing capacity and growth prospects was verified. This study expanded the scope of research by shedding new light on the factors influencing the long-term growth prospects of venture companies and revealing business model innovation as a new mediating variable. In future research, it is necessary to develop an objective measurement tool and to identify differences according to industrial characteristics.

• Korean Journal of Environmental Biology
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• 제40권1호
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• pp.1-10
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• 2022

Global warming has a major impact on the Earth's precipitation and temperature fluctuations, and significantly affects the habitats and biodiversity of many species. Although the number of alien plants newly introduced in South Korea has recently increased due to the increasing frequency of international exchanges and climate change, studies on how climate change affects the distribution of these alien plants are lacking. This study predicts changes in the distribution of suitable habitats according to RCPs climate change scenarios using the current distribution of the invasive alien plant Conyza sumatrensis and bioclimatic variables. C. sumatrensis has a limited distribution in the southern part of South Korea. Isothermality (bio03), the max temperature of the warmest month (bio05), and the mean temperature of the driest quarter (bio09) were found to influence the distribution of C. sumatrensis. In the future, the suitable habitat for C. sumatrensis is projected to increase under RCP 4.5 and RCP 8.5 climate change scenarios. Changes in the distribution of alien plants can have a significant impact on the survival of native plants and cause ecosystem disturbance. Therefore, studies on changing distribution of invasive species according to climate change scenarios can provide useful information required to plan conservation strategies and restoration plans for various ecosystems.

• Korean Journal of Environment and Ecology
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• 제38권2호
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• pp.127-142
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• 2024

This study aimed to understand the interrelationships between tree species in plant communities through Plant Social Network (PSN) analysis using a large amount of vegetation data surveyed in an island area belonging to a warm-temperate boreal forest. The Machilus thunbergii, Castanopsis sieboldii, and Ligustrum japonicum, which belong to the canopy layer, Pittosporum tobira and Ardisia japonica, which belong to the shrub layer and Trachelospermum asiaticum and Stauntonia hexaphylla, which belong to the vines, appearing in evergreen broad-leaved climax forest community, showed strong positive association(+) with each other. These tree species had a negative association or no friendly relationship with deciduous broad-leaved species due to the large difference in location environments. Divided into 4 group modularizations in the PSN sociogram, evergreen broad-leaved tree species in Group I and deciduous broad-leaved tree species in Group II showed high centrality and connectivity. It was analyzed that the arrangement of tree species (nodes) and the degree of connection (grouping) of the sociogram can indirectly estimate environmental factors and characteristics of plant communities like DCA. Tree species with high centrality and influence in the PSN included T. asiaticum, Eurya japonica, Lindera obtusiloba, and Styrax japonicus. These tree species are common with a wide range of ecological niches and appear to have the characteristics and survival strategies of opportunistic species that commonly appear in forest gaps and damaged areas. They will play a major role in inter-species interactions and structural and functional changes in plant communities. In the future, long-term research and in-depth discussions are needed to determine how these species actually influence plant community changes through interactions

• The Korean Journal of Archival Studies
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• 제79호
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• pp.33-82
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• 2024

Interest in ESG management, which spread through the UN PRI in 2006, has recently spread throughout our society. Consumers use a company's activeness in the ESG field as the standard of consumption behavior, and the international community is reorganizing and strengthening various regulatory measures. In the investment market, non-financial performance (ESG information) is used as an important investment indicator along with financial performance (credit rating). Due to these changes in the corporate evaluation paradigm and market pressure, if a company neglects ESG response activities, it is more likely to be excluded from market selection, and accordingly, the importance of ESG management is also increasing. Companies are making various efforts to secure legitimacy in response to these market pressures, but in the process, it is difficult to systematically manage and utilize records/data that are the basis for ESG management. For a basic understanding of ESG management, this paper summarizes the emerging process of ESG and the current ESG-related regulations applied to companies. Through this, it can be seen that ESG management is not carried out with the good will of the company, but is accepted as a management strategy for the survival of the company according to the change in the corporate evaluation paradigm. Through interviews with the company's ESG-related personnel, the company's ESG response process was divided into passive communication and active communication, and the problems identified during the interview were summarized for each communication type. In addition, in the process of passively and actively communicating ESG management information with internal and external stakeholders, the possibility that ESG archives can function as a tool to overcome problems for each communication type was raised, and five types of ESG archives that can play this role were presented.

• Korean Association of Arts Management
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• 제50호
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• pp.33-63
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• 2019

This study examines financial performance of nonprofit performing arts organizations to provide concrete suggestions and improve their financial performance so that they can build strategies to continue organizational activities. This study investigates empirical data of IRS 990 tax form of top 73 US orchestras and analyzed GLS pannel. Dependent variables are measured as contributions and ticket sales, and independent variables are measured as economic environment, cultural capital, orchestra characters, government grants, and social capital. Based on the finding from the research, determination of contribution outcomes is positively affected by state employment and orchestra's internal characteristics including age, size and conductor's US nationality, government grants, and volunteer. Ticket sales are affected by employment, education level, orchestra's resources, government grants, and volunteer. However, a size of cultural market negatively influences on financial outcomes and cultural capital doesn't influence on results. Interesting finding is a relationship between volunteers and organizations is vital of their fiscal achievement. This is significant in empirical analysis on nonprofit performing arts organizations from an economic view point, and will contribute on organizations to improve their strategic plan to sustain a business.