• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.685-686
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• 2007

This paper presents an application of power system fault diagnostic algorithm for the PEFP Proton Accelerator Research Center using neural network. Proposed fault diagnostic system is constructed by the radial basis function (RBF) neural network because it has the capabilities of the pattern classification and function approximation of any nonlinear function. Proposed system identifies faulted section in the power system based on information about the operation of protection devices such as relays and circuit breakers. In this paper, parameters of the RBF neural networks are tuned by the GA-TS algorithm, which has the global optimal solution searching capabilities. To show the validity of the proposed method, proposed algorithm has been tested with a practical power system in Proton Accelerator Research Center of PEFP.

• Applied Chemistry for Engineering
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• v.32 no.6
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• pp.695-699
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• 2021

In this study, Selective Catalytic Reduction on Diesel Particulate Filter (SDPF) after-treatment system was introduced to simultaneously remove NO_x and Particulate Matters (PM) emitted from trucks and special cargo vehicles using old engine. First, in order to select an Selective Catalytic Reduction (SCR) catalyst for SDPF, the de-NO_x performance of V/TiO₂ and Cu-Zeolite catalysts were compared, and the SCR catalyst characteristics were analyzed through Brunauer Emmett Teller (BET), X-ray Diffraction (XRD) and NH3-TPD (Temperature Programmed Desorption). From the activity test results, the Cu-zeolite catalyst showed the best thermal stability. For optimal coating of SDPF, slurry was prepared according to the target particle size. From the coating stability and back pressure test results of SDPF according to the amount of SCR coating, As a result of comparing coating stability, back pressure, and de-NOx performance by producing A, B, and C samples for each loading amount of the SDPF catalyst, the best results were found in the B sample. The engine dynamometer test was conducted for the optimal SDPF after-treatment system, and the test results satisfied Eu-5 regulations.

• Industry Promotion Research
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• v.5 no.3
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• pp.81-88
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• 2020

This study aims to emphasize the importance of organizational culture through case studies on the activation of Atomy corporate culture, which is a key factor in corporate sustain-ability. A company is a purely Korean network marketing company that is advantageous to consumers, and further enhances the sustainable growth system by realizing the value of A company that realizes customer's success beyond customers' with better quality and more reasonable prices. In particular, A company has the following three characteristics of organizational culture to realize its founding philosophy, motto, management goals and management policy. First, it is a culture of Observing Principles. Second, it is a culture of glowing together. Third, it is a sharing culture. In addition, A company established and practiced, a unique thinking and organizational culture characteristic of work, to realize growth and development of a top-notch company beyond a global Korean network marketing company. On the other hand, A company is realizing the re-establishment and implementation of the human resource management system that strategically reflects the value of industry according to the changes and characteristics of the times. In other words, the most important factor for revitalizing the organizational culture is the aspect of changes in the personnel system. We are further improving our sustain-ability management system through system innovation to provide continuous value to our partners, members, and consumers along with a strategic HR system differentiated from existing network marketing companies.

• Nuclear Engineering and Technology
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• v.28 no.4
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• pp.405-414
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• 1996

In this paper, the unsteady 2-dimensional turbulent flow model for thermal stratification in a pressurizer surge line of PWR plant is proposed to numerically investigate the heat transfer and flow characteristics. The turbulence model is adapted to the low Reynolds number K-$\varepsilon$ model (Davidson model). The dimensionless governing equations are solved by using the SIMPLE (Semi-Implicit Method for Pressure Linked Equations) algorithm. The results are compared with simulated experimental results of TEMR Test. The time-dependent temperature profiles in the fluid and pipe nil are shown with the thermal stratification occurring in the horizontal section of the pipe. The corresponding thermal stresses are also presented. The numerical result for thermal stratification by the outsurge during heatup operation of PWR shows that the maximum dimensionless temperature difference is about 0.83 between hot and cold sections of pipe well and the maximum thermal stress is calculated about 322MPa at the dimensionless time 28.5 under given conditions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.259-264
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• 2006

The purpose of this study is to suggest logical foundation and points which necessarily for establishing E-commerce of Korean shipping companies' development strategy and activation plan. In order to empirical analysis, two step analyses are adopted. Firstly, this study examines the effects of the shipping company character and the shipping environment character on the usage of E-commerce in the shipping companies. Secondly, this study examines the effects of usage of E-commerce on the performance in shipping companies. In the empirical analysis, research hypotheses are being tested mainly by a structural equation model(SEM).

• Proceedings of the Materials Research Society of Korea Conference
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• 1998.08a
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• pp.88.3-88
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• 1998

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1689-1705
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• 2023

To deal with the potential XSS vulnerabilities in the source code of the power communication network, an XSS vulnerability detection method combining the static analysis method with the dynamic testing method is proposed. The static analysis method aims to analyze the structure and content of the source code. We construct a set of feature expressions to match malignant content and set a "variable conversion" method to analyze the data flow of the code that implements interactive functions. The static analysis method explores the vulnerabilities existing in the source code structure and code content. Dynamic testing aims to simulate network attacks to reflect whether there are vulnerabilities in web pages. We construct many attack vectors and implemented the test in the Selenium tool. Due to the combination of the two analysis methods, XSS vulnerability discovery research could be conducted from two aspects: "white-box testing" and "black-box testing". Tests show that this method can effectively detect XSS vulnerabilities in the source code of the power communication network.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.383-389
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• 2009

The purposes of this study were to investigate the level of technological collaboration and technological innovation, and to analyze the effects of these variables on performance of textile and clothing companies. The data were collected from participants of Preview in Daegu Exhibition and Seoul Fashion Sourcing Fair as well as a panel on the Research Institute. The results showed that the numbers of technological collaboration and technological innovation were relatively low but the level of technological collaboration was slightly high. The regression analyses indicated that technological collaboration had a significant effect but technological innovation didn't have a significant effect on company performance. However, these two variables had significant effects on innovation performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.76-83
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• 2019

The South Korean government is actively assisting the supply of the smart factory solutions to SMEs (Small & Medium-sized Enterprises) according to its manufacturing innovation 3.0 policy for the smart manufacturing as the 4th industrial revolution era unfolds. This study analyzed the impacts of the smart factory solutions, which have been supplied by the government, on the companies performances. The effects of the level of smart factory and the operation capabilities for the smart factory solutions on company performances, and the mediating effects of manufacturing capabilities have been analyzed using SPSS and AMOS. The data for this survey-based study were collected from the SMEs which implemented the smart factory solutions since 2015. The results show that the level of smart factory solutions adopted and operation capabilities for the smart factories do not have direct effects on the company performances, but their mediating effects on the manufacturing capabilities matter and the manufacturing capabilities effect directly on the company performances. In addition significant factors boosting the operation capability for the smart factory and the levels of the smart factory solutions are identified. Finally, the policy direction for enhancing the smart factory effects is presented, and the future research directions along with the limitations are suggested.

• The Journal of Information Technology
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• v.8 no.4
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• pp.103-117
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• 2005

This paper examines the brand strategies of competitive product issuing C/O company in choongnam. Today, the global brand is very important range. The ubiquity of global brands has become one of the defining features of modern life and one of the core function of modern marketing. Therefore, company was conducted several interesting characteristics as follows: company employing brand marketing were found to engage in independent market research. Also, they tend to export products whose levels of quality are as competitive as to those of competing products from industrialized countries. Thus, global consumers may react powerfully against the increasing ubiquity of global brands and their homogenized identities.