• Journal of the Korean Wood Science and Technology
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• v.50 no.4
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• pp.219-236
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• 2022

Wood-based nanocomposite electrode materials were synthesized for application in supercapacitors by mixing nanostructured hematite (Fe₂O₃) with highly porous activated carbon (AC) produced from the wood-waste of Pinus roxburghii. The AC was characterized using various instrumental techniques and the results showed admirable electrochemical properties, such as high surface area and reasonable porosity. Firstly, AC was tested as an electrode material for supercapacitors and it showed a specific capacitance of 59.02 Fg^-1 at a current density of 1 Ag^-1, cycle life of 84.2% after 1,000 cycles (at a current density of 3 Ag^-1), and energy density of 5.1 Wh/kg at a power density of 135 Wkg^-1. However, when the AC was composited with different ratios of Fe₂O₃ (1:1, 2:1, and 1:2), there was an overall improvement in its electrochemical performance. Among the 3 ratios, 2:1 (AC:Fe₂O₃) had the best specific capacitance of 102.42 Fg^-1 at 1 Ag^-1, cycle life of 94.4% capacitance after 1,000 cycles (at a current density of 3 Ag^-1), and energy density of 8.34 Wh/kg at a power density of 395.15 Wkg^-1 in 6 M KOH electrolyte in a 3-electrode experimental setup with a high working voltage of 1.55 V. Furthermore, when Fe₂O₃ was doubled, 1:2 (AC:Fe₂O₃), the electrochemical capacitive performance of the electrode twisted and deteriorated due to either the accumulation of Fe₂O₃ particles within the composite or higher bulk resistance value of pure Fe₂O₃.

• Steel and Composite Structures
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• v.47 no.2
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• pp.167-184
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• 2023

In this study, a new recentering friction device (RFD) to retrofit steel moment frame structures is introduced. The device provides both self-centering and energy dissipation capabilities for the retrofitted structure. A hybrid performance-based seismic design procedure considering multiple limit states is proposed for designing the device and the retrofitted structure. The design of the RFD is achieved by modifying the conventional performance-based seismic design (PBSD) procedure using computational intelligence techniques, namely, genetic algorithm (GA) and artificial neural network (ANN). Numerous nonlinear time-history response analyses (NLTHAs) are conducted on multi-degree of freedom (MDOF) and single-degree of freedom (SDOF) systems to train and validate the ANN to achieve high prediction accuracy. The proposed procedure and the new RFD are assessed using 2D and 3D models globally and locally. Globally, the effectiveness of the proposed device is assessed by conducting NLTHAs to check the maximum inter-story drift ratio (MIDR). Seismic fragilities of the retrofitted models are investigated by constructing fragility curves of the models for different limit states. After that, seismic life cycle cost (LCC) is estimated for the models with and without the retrofit. Locally, the stress concentration at the contact point of the RFD and the existing steel frame is checked being within acceptable limits using finite element modeling (FEM). The RFD showed its effectiveness in minimizing MIDR and eliminating residual drift for low to mid-rise steel frames models tested. GA and ANN proved to be crucial integrated parts in the modified PBSD to achieve the required seismic performance at different limit states with reasonable computational cost. ANN showed a very high prediction accuracy for transformation between MDOF and SDOF systems. Also, the proposed retrofit showed its efficiency in enhancing the seismic fragility and reducing the LCC significantly compared to the un-retrofitted models.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.7-13
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• 2011

RAMS is the procedure to maximize the reliability and availability of systems with managing operation rate, the frequency of failure in the system and repair method. Recently, all system life-cycle focusing on RAMS process has been rapidly developing in the field of railway vehicles, for example, applying th reliability management techniques for procurement and disposal of EMU. In particular, global economic recession require to reasonable measures for the EMU maintenance costs under the circumstances therefore, an alternative solution based on RCM(Reliability Centered Maintenance) which is the optimal maintenance method is interested. In this study, the state of being critical of each component and a primary factors was analyzed to improve VVVF inverter of the line 7 EMU by applying FMECA process. Furthermore, this paper showed the impact of connecting between the main and sub system. Based on these data, critical components according to malfunction ratings were classified by screening measures and improvements for each components was summarized.

• Transactions of Materials Processing
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• v.17 no.7
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• pp.481-485
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• 2008

The subframe type rear suspension consisting of a side member and a front/rear cross member is widely used in a medium car and full car. In the small car case, the beam of tubular type without independent suspension system is used to reduce manufacturing cost. In this study, a subframe type rear suspension by hydroforming has been developed. In designing suspension, a driving stability and durability should be considered as an important factor for the performance improvement, respectively. Thus, we focus on increasing the stiffness of suspension and decreasing the maximum stress affecting a durability cycle life. Several optimization design techniques such as shape, size, and topology optimization are implemented to meet these requirements. The shapes of rear suspension obtained from optimization are formed by using hydroforming process. Through commercial software based on the finite element, the superiority of this design method is demonstrated.

• Journal of the Korea Institute of Building Construction
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• v.5 no.4 s.18
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• pp.91-98
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• 2005

This paper illustrates a comparative analysis on the economic efficiency of remodeling method that is one of major factors in totting more desirable standards and proposes to utilize LCC calculation techniques in generating a required budget for more effective quantity-based analysis that is both objective and effect. Rather than comparing only the initial lost of two different methods, it seems through to compare their entire life cycle cost that includes any repair and reconstruction/ remodeling expenses, thus generate overall quantitative analysis in objective perspective

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.129-132
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• 2012

Value Engineering(VE) process is going to make a series of improvements for the effective construction project management or optimal proposal to improve quality, performance improvement, cost reduction and customer satisfaction. For making the quality model based on better than the architecture that is required in the VE, such a project promoting creative plan, functionality and constructability reflecting the materials and improved construction methods and building life cycle for reviewing the smooth progress of the construction projects may be necessary for management techniques. This study is to establish a management plan in the educational facilities construction process through education institution's recent orders completed by VE case study.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.4
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• pp.52-60
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• 2017

This paper forces on the analysis of the overall outcome regarding Performance Based Logistics(PBL) application for Air Weapon System. We used data from domestically developed aircraft such as KT/A-1 and T-50 as well as data from foreign F-15K aircraft and F100 Engine to analyze the current ROKAF PBL application results. Furthermore, this paper thus suggests various techniques to maximize the outcome of user-based PBL performance such as clarifying the responsibility between customer and the company, developing standardized PBL performance index under TLCSM, PBL related maintenance capacity development, wartime PBL implementation process of domestic/foreign companies and many other schemes based on the analyzed data.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1339-1342
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• 2002

It is difficult to design system software to meet a better separation of concerns, which can provide a number of benefits such as adaptability, extensibility, and modularity in the design and implementation. During design, some aspectual properties, such as synchronization, scheduling, performance and fault tolerance, crosscut the basic functionalities of the system software. By separating functional components from the different aspectual components of the system software in the design, we can provide a better generic design model of system software. Aspect-Oriented Programming is a methodology that aims at separating components and aspects from the early stages of the software life cycle, and using techniques to combining them together at the implementation phase. In this paper we discuss an aspect-oriented framework that can simplify system software design and implementation by expressing it at a higher level of abstraction. Our work concentrates on how to achieve a higher separation of aspectual components, functional components, and layers from each other. Our goal is to achieve a better design model for implementing system software in terms of modularity, reusability and adaptability.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.12 no.4
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• pp.29-35
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• 2003

The rotating machineries always generate harmonic frequencies of their own rotating speed, and increment of vibration amplitude affects to the equipments which connected to the vibrational source and causes industrial calamities. The life cycle of equipments can be extended and damages to the human beings could be prevented by identifying the cause of malfunctions through prediction of the increment of vibration and records of vibrational history. In this study, therefore, diagnostic expert algorithm for the centrifugal pump is developed by integrating fuzzy inference method and signal processing techniques. And the validity of the developed diagnostic system is examined via various computer simulations.

• Clean Technology
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• v.7 no.2
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• pp.99-107
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• 2001

Optimization methodologies have been proposed of find the best environment-friendly recycling pathways of plastic materials based on life-cycle assessment (LCA) methodology. The main difficulty in conducting this optimization study is that multiple environmental burdens have to be considered simultaneously as the cost functions. Instead of generating conservative Pareto or noninferior solutions following multi-objective optimization approaches, we have proposed some practical criteria on how to combine the different environmental burdens into a single measure. The obtained single objective optimization problem can then be solved by conventional nonlinear programming techniques or, more effectively, by a tree search method based on decision flows. The latter method reduces multi-dimensional optimization problems to a set of one-dimensional problems in series. It is expected the suggested tree search approach can be applied to many LCA studies as a new promising optimization tool.