• Advances in aircraft and spacecraft science
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• v.4 no.1
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• pp.37-52
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• 2017

Gas turbines operating in dusty or sandy environment polluted with micron-sized solid particles are highly prone to blade surface erosion damage in compressor stages and molten sand attack in the hot-sections of turbine stages. Commercial/Military fixed-wing aircraft engines and helicopter engines often have to operate over sandy terrains in the middle eastern countries or in volcanic zones; on the other hand gas turbines in marine applications are subjected to salt spray, while the coal-burning industrial power generation turbines are subjected to fly-ash. The presence of solid particles in the working fluid medium has an adverse effect on the durability of these engines as well as performance. Typical turbine blade damages include blade coating wear, sand glazing, Calcia-Magnesia-Alumina-Silicate (CMAS) attack, oxidation, plugged cooling holes, all of which can cause rapid performance deterioration including loss of aircraft. The focus of this research work is to simulate particle-surface kinetic interaction on typical turbomachinery material targets using non-linear dynamic impact analysis. The objective of this research is to understand the interfacial kinetic behaviors that can provide insights into the physics of particle interactions and to enable leap ahead technologies in material choices and to develop sand-phobic thermal barrier coatings for turbine blades. This paper outlines the research efforts at the U.S Army Research Laboratory to come up with novel turbine blade multifunctional protective coatings that are sand-phobic, sand impact wear resistant, as well as have very low thermal conductivity for improved performance of future gas turbine engines. The research scope includes development of protective coatings for both nickel-based super alloys and ceramic matrix composites.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.884-892
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• 2011

The analysis of the tourist industry in relation to the general industries is of high use as a means to measure an economic effectiveness as the interest in the policy of service industry increases. From the Input-Output Tables of both 2007 and 2008, Inverse Matrix Coefficients, Imports Requirement Coefficients, and Value Added Requirement Coefficients have been derived. As a result of analysis, the main indexes of the industry-related analysis have almost no differences as compared with those of the 1980s. In spite of the reduction in the scope of the tourist industry in this paper, it is estimated that the reason why the above-mentioned result has been derived is that the influence of today's tourist industry grows bigger than that of the past. In the future studies, the agreement on the classification of tourist industry is requested. In addition, all kinds of calculations have to be derived in general, and the general parts of the tourist industry have to be analyzed in details.

• Journal of the Korean Society for Marine Environment & Energy
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• v.7 no.4
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• pp.216-223
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• 2004

A nonlinear sloshing problem is numerically simulated. During excessive sloshing the sloshinginduced impact load can cause a critical damage on the tank structure. A three-dimensional free-surface flow in a tank is formulated in the scope of potential flow theory. The exact nonlinear free-surface condition is satisfied numerically. A finite-element method based on Hamiltons principle is employed as a numerical scheme. The problem is treated as an initial-value problem. The computations are made through an iterative method at each time step. The hydrodynamic loading on the pillar in the tank is computed.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.119-131
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• 2020

The purpose of this study is to examine the mediated effects of entrepreneurship and market orientation on organizational culture and management performance as the cause of the reversal phenomenon of startups defeating traditional giants. Through the research method of bootstrapping proposed by Hayes (2013), the total effect, direct effect and indirect effect analysis were conducted. As a result, there was no direct impact relationship between organizational culture and management performance, but it was confirmed that it had a positive impact on management performance by mediating both entrepreneurial behavior and market orientation in the relationship between organizational culture and management performance. This study is meaningful in that it is linked to existing theories such as entrepreneurship and market orientation and it extends the scope of competency targets required for business performance to an organizational culture. Companies need to create an innovation-oriented organizational culture for management performance and value creation, and they have to open up their culture with entrepreneurial behavior and market orientation by breaking away from the inertia of organization.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.207-217
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• 2020

The purpose of this study is to examine the structural relationship between the digital platform capabilities of financial institutions and the impact of customer orientation on service innovation behavior through exploitation/exploration. A survey was conducted on employees of financial institutions to verify the research model, and the final 280 copies of the questionnaire were analyzed using SPSS 25 and SmartPLS 2.0. As a major research result, First, digital platform competency has a positive effect on exploitation and exploration. Second, customer orientation has a positive effect on exploitation, but not on exploration. Third, both exploitation and exploration have a positive impact on service innovation behavior. Through this research, this study shed new light on the relationship between digital platform capability and customer orientation that affects service innovation behavior of financial institutions, and expanded the scope of research through empirical research. Future research will require research attempts on various variables and research samples.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.59-80
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• 2023

Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.122-123
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• 2023

About 1 year and 7 months have passed since the Serious Accident Punishment Act was implemented, and although many studies have been conducted on the definition and policy of the Act, almost no research has been conducted on its impact on the logistics industry. In particular, research on the PDI (PRS) process within finished vehicle logistics is severely lacking ‥‥‥. The government is expecting to expand the scope of punishment and upgrade the safety management system through the Serious Accident Punishment Act, but if you check the industrial accident data issued by the Ministry of Employment and Labor in 2022, the number and rate of industrial accidents will increase compared to 2021

• Journal of Information Management
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• v.40 no.4
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• pp.135-150
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• 2009

Existing bibliometric laws have been established on the basis of well defined science journals with a long history. However, the history of technology innovation research in Korea is young and the scope of the research is diverse compared with other fields. The main purpose of this research can be summarized as follows : Can the traditional bibliometric laws be used to explain the young and diverse data derived from technology innovation studies in Korea. Second, we want to compare the explain ability of the power law, compared with the traditional laws in the field. Third, we propose a quasi index related to the well-known impact factor to measure the contribution of a journal or a group of journals to the development of innovation research in Korea. We confirmed Lotka's and Bradford's laws which are used to measure the productivity of researchers, but we could not support the validity of Price's Square Root law as Nicholls (1998) could not. On the citations to journals, Garfield's laws is not observed. However, the power law fits well the citations to author, journal, article, and book. The estimated parameters between 1.6 and 3.5 are similar to the values in the range of 1.5 and 3 in previous studies. Finally the quasi index shows that the influence of international leading journals on innovation research in Korea is weaker than on innovation studies in the world.

• Clean Technology
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• v.24 no.2
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• pp.135-145
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• 2018

There are various activities for reduction of the greenhouse gasses (GHG) emission around the world. The countries agreed to submit their's individual plans to the United Nations and have operated programs related to the Climate Change, in addition, the enterprises have spontaneously been developed individual calculation methodologies of GHG emission. This paper aims at examining methods for calculating the effect of the reduction of environmental impact, being divided into three categories; international standard, country, enterprise. The reduction effects of environmental impact were compared by applying an existing product of the vehicle undercover and the uni-materialized product and being selected six calculation methods of environmental footprint. There are significant differences according to the evaluation methods of product environmental footprint (PEF) reduction. Main factors of differences are a gap in system boundary, a scope of data collection and the replacement amount standard of existing products. Stakeholders are unreliable in the results of PEF reduction because of the differences in results by each methodology. Therefore, it is necessary to disclose in detail the methodologies of calculating the PEF reduction that relevant people can easily understand, also to enable comparisons of the reduction results by developing the standardization of evaluation methods of PEF in the long term.