• Journal of Korean Society for Quality Management
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• v.42 no.2
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• pp.235-251
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• 2014

Purpose: To develop efficient PL response system, SMEs should decide which component of PL response system is important and implemented with priority under limited resources. To accomplish this goal, we propose strategic priority components of PL response system for SME manufacturer. Methods: We categorize the components of PL response system based on prior research results - System, Organization, Training, Technology, Cost, and Awareness. AHP (Analytic Hierarchy Process) is applied to extract important components of PL response system, which is used in assigning the priority of component. To analyze effects of each components, performance sensitivity analysis is applied. Results: The survey analysis results show Technology is the most important components. Organization and Cost component are follows. As the importance of Technology is changed, we can find Organization, Cost is second and third important components. Conclusion: Our research shows Technology which is related to make a safe product with systematic process, is a basic enabler of PL response system. Also, building a PL team and securing a budget for PL activity should be carry out with limited resources.

• Smart Structures and Systems
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• v.6 no.4
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• pp.405-421
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• 2010

This paper proposes a method for early warning of hazard for pipelines. Many pipelines transport dangerous contents so that any damage incurred might lead to catastrophic consequences. However, most of these damages are usually a result of surrounding third-party activities, mainly the constructions. In order to prevent accidents and disasters, detection of potential hazards from third-party activities is indispensable. This paper focuses on recognizing the running of construction machines because they indicate the activity of the constructions. Acoustic information is applied for the recognition and a novel pipeline monitoring approach is proposed. Principal Component Analysis (PCA) is applied. The obtained Eigenvalues are regarded as the special signature and thus used for building feature vectors. One-class Support Vector Machine (SVM) is used for the classifier. The denoising ability of PCA can make it robust to noise interference, while the powerful classifying ability of SVM can provide good recognition results. Some related issues such as standardization are also studied and discussed. On-site experiments are conducted and results prove the effectiveness of the proposed early warning method. Thus the possible hazards can be prevented and the integrity of pipelines can be ensured.

• Journal of the Korean Society for Advanced Composite Structures
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• v.6 no.4
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• pp.51-57
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• 2015

Various hybrid dampers have been developed in Korea to control the vibration due to a wind and earthquake. In order to minimize the installment space, cost and construction process, the new hybrid friction damper is developed. This hybrid damper is composed of several rotary friction components having two frictional joint. Because of these components, the building vibration due to wind and earthquake can be mitigated by hybrid friction damper. In this paper, various dependency tests were carried out to evaluate on the structural performance of two joint rotational friction component of the hybrid damper. Test results show that two joint rotational components do not depend on a displacement and a frequency of forcing but friction coefficients is reducing as a clamping force is increasing.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.274-281
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• 2020

The use of information systems improves a company's service quality and provides efficient information management. The establishment of an information system has become an essential element. In designing and developing a large number of screens when building an information system, As the number of screens increases, so does the cost and time. In addition, modifications can increase the cost of maintenance and exceed the cost of development. In order to solve these problems, there have been studies to design the screen simply and easily, but there is a shortage in reducing the maintenance cost. In this paper, we have studied the layout algorithm for managing the attributes of the screen components as data structures based on the designed screen and arranging the components on the screen. And we compared the proposed method and the methods that have been studied in the related studies. Screen component layout methods can automatically deploy screen components to consistently develop a large number of screens and reduce cost and manpower by reducing the time it takes to deploy screens.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.1
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• pp.24-34
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• 2007

Since Context Driven Component model is based on the idea that a context-aware application consists of the components that are context sensitive and the components that do not depend on the context, it divides the context sensitive part into components according to which context information they are related to. The model supports the scalability of context information by building an application through composing Context Driven Components. Furthermore, it solves the embeddedness of context information inside the application logic. To show the contributions of the model, this paper applies it to Call-forwarding application, and analyses how the model supports the scalability and the embeddedness.

• Steel and Composite Structures
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• v.20 no.3
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• pp.469-486
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• 2016

Codes EN 1993 and EN 1994 require to take into account actual joint characteristics in the global analysis. In order to implement the semi-rigid connection effects in frame design, knowledge of joint rotation characteristics ($M-{\phi}$ relationship), or at least three basic joint properties, namely the moment resistance $M_R$, the rotational stiffness $S_j$ and rotation capacity, is required. To avoid expensive experimental tests many methods for predicting joint parameters were developed. The paper presents a comprehensive analytical model that has been developed for predicting the moment resistance $M_R$, initial stiffness $S_{j.ini}$ and rotation capacity of the minor axis, composite, semi-rigid joint. This model is based on so-called component method included in EN 1993 and EN 1994. Comparison with experimental test results shows that a quite good agreement was achieved. A computer program POWZ containing proposed procedure were created. Based on the numerical simulation made with the use of this program and applying regression analysis, simplified equations for main joint properties were also developed.

• Journal of Korean Society on Water Environment
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• v.35 no.4
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• pp.332-339
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• 2019

A comparative study on the anaerobic digestion efficiency according to the temperature change was conducted considering the characteristics of domestic food wastes with high water content of about 80 % or more. The substrate was tested for anaerobic digestion efficiency in two substrates, a liquid component separated naturally from food waste and food waste itself. In the anaerobic digestion experiments, the digestion efficiency was the highest at $55^{\circ}C$ (thermophilic temperature). However, the digestion efficiency at $45^{\circ}C$(middle high temperature) was lower than that at $35^{\circ}C$(mesophilic temperature). The comparison of general food wastes anaerobic digestion requiring 30 days of hydraulic retention time to the liquid component indicated a stable digestion efficiency even after 15 days of hydraulic retention time.In the experiments conducted on food waste, the digestion efficiency at $55^{\circ}C$ was higher than that at $35^{\circ}C$. When the food waste, especially the liquid component originating from food waste, is treated by anaerobic digestion method, the mesophilic temperature and thermophilic temperature conditions are more favorable in the digestion efficiency than the middle high temperature ($45^{\circ}C$). However, when applying thermophilic or mesophilic temperature anaerobic digestion process operation in the field, the amount of energy input should be considered.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.92-101
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• 1998

As service firms continue to seek unique sources of sustainable competitive advantage, service quality has been discussed as a potential alternative to traditional skills and sources. The information of customers is generally believed to be a key component in creating corporate responsiveness to customer requests. In order to develop and maintain long-term close relationships with customers, service firms need to build an effective and ongoing service qualify information system(SQIS). Service firms that formally collect customer-related information and internal service quality information were to be more responsive. Accordingly, the purpose of the present study is twofold. 1. How to get the information on the service quality. 2. How to build a SQIS. An analysis is conducted of SQIS into input, process and output staging. One of numerous examples from financial service-sector firms is given to show SQIS can be developed to improve service qualify. Implications and strategies for building an effective SQIS for financial service-sector firms are discussed, and directions for future research are indicated.

• Wind and Structures
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• v.14 no.5
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• pp.449-463
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• 2011

Drag forces on a rectangular louvered panel, both as a free-standing structure and as a component in a generic low-rise building model, were obtained in a wind tunnel study. When tested in a building model, the porosity ratio of the wall opposite the louvered panel was varied to investigate its effect on the loading of the louvered panel. Both mean and pseudo-steady drag coefficients were obtained. Comparisons with the provisions for porous walls in contemporary loading standards indicate that for some opposite wall porosity ratios, the standards specify significantly different wind loads (larger and smaller) than obtained from this wind tunnel study.

• Journal of the Ergonomics Society of Korea
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• v.20 no.1
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• pp.45-62
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• 2001

This study suggests a genetic algorithm-based partial least squares (GA-based PLS) method to select the design variables for building a usability model. The GA-based PLS uses a genetic algorithm to minimize the root-mean-squared error of a partial least square regression model. A multiple linear regression method is applied to build a usability model that contains the variables seleded by the GA-based PLS. The performance of the usability model turned out to be generally better than that of the previous usability models using other variable selection methods such as expert rating, principal component analysis, cluster analysis, and partial least squares. Furthermore, the model performance was drastically improved by supplementing the category type variables selected by the GA-based PLS in the usability model. It is recommended that the GA-based PLS be applied to the variable selection for developing a usability model.