• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.515-522
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• 2024

Energy consumption is steadily increasing, and buildings in particular account for more than 20% of the total energy consumption around the world. As an effort to cost-effectively manage the energy consumption of buildings, many research groups have recently focused on Smart Building Energy Management Systems (BEMS), which are deepening the research depth by applying artificial intelligence(AI). In this paper, we propose a reinforcement learning-based energy control method for smart energy buildings integrated with V2G station, which aims to reduce the total energy cost of the building. The results of performance evaluation based on the energy consumption data measured in the real-world building shows that the proposed method can gradually reduce the total energy costs of the building as the learning process progresses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.591-593
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• 2017

The phenomena of disasters are changing from the individual disasters confined to the local areas, to complex disasters, a combination of natural and social disasters, caused by climate change and overcrowding urbanization. Therefore, the request of the complex disaster simulation system to respond to complex disasters caused by natural disasters and social disasters is getting increases. In this paper, we introduce the simulation system in case of natural disasters and social disasters that occur as a complex disaster, and discuss the issues to be considered when constructing the integrated inventory, which is a key component in constructing a complex disaster simulation system. Because the simulation results for disasters can vary depending on the configuration of the inventory taking into account the regional characteristics, a reliable and consistent inventory configuration is required for reliable complex disaster simulation.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.1
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• pp.121-133
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• 2020

This study proposes a lesson design framework to design a science and engineering integrated lesson in a meaningful and easy way based on engineering design, which is the core feature of STEM education. The science and engineering integrated lesson design framework is developed based on the analysis of domestic and foreign theoretical and practical research papers and expert discussion on science and engineering integrated education as well as the feedbacks from science teachers. The science and engineering integrated lesson design framework uses engineering design as the main pedagogical method. The framework includes the core elements of the engineering integrated lesson suggested in previous studies and the achievement level of each grade group suggested in NGSS and provides a way for teachers to easily introduce engineering design into science classes. In addition, the framework developed in this study complements the shortcomings of the complicated Korean STEAM education framework. It can also provide specific guidance to in-service teachers as well as pre-service teachers to easily understand and apply engineering design and problem solving processes to science and engineering integrated lessons.

• Knowledge Management Research
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• v.13 no.3
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• pp.55-77
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• 2012

Selecting promising technology is becoming more and more difficult due to the increased number and complexity. In this study, we propose hybrid AHP/DEA-AR method and hybrid AHP/DEA-AR-G method to evaluate efficiency of technology alternatives based on ordinal rating data collected through survey to technology experts in a certain field and select efficient technology alternative as promising technology. The proposed method normalizes rating data and uses AHP to derive weights to improve the credibility of analysis, then in order to avoid basic DEA models' problems, use DEA-AR and DEA-AR-G to evaluate efficiency of technology alternatives. In this study, we applied the proposed methods to clean technology and compared with the basic DEA models. According to the result of the comparison, we can find that the both proposed methods are excellent in confirming most efficient technology, and hybrid AHP/DEA-AR method is much easier to use in the process of technology selection.

• Journal of Mechanical Science and Technology
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• v.14 no.2
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• pp.159-167
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• 2000

A computational method for the dynamic analysis of a constrained mechanical system is presented in this paper. The partial velocity matrix, which is the null space of the Jacobian of the constraint equations, is used as the key ingredient for the derivation of reduced equations of motion. The acceleration constraint equations are solved simultaneously with the equations of motion. Thus, the total number of equations to be integrated is equivalent to that of the pseudo generalized coordinates, which denote all the variables employed to describe the configuration of the system of concern. Two well-known conventional methods are briefly introduced and compared with the present method. Three numerical examples are solved to demonstrate the solution accuracy, the computational efficiency, and the numerical stability of the present method.

• Journal of the Korean Society for Precision Engineering
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• v.32 no.9
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• pp.781-786
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• 2015

Recently, studies of 3D printing methods have been working in various applications. For example, the powder base method laminates the prints by using a binding or laser sintering method. However, the draw back of this method is that the post process is time consuming and does not allow for parts to be rapidly manufactured. The binding method requires the post process while the time required for the post process is longer than the manufacturing time. This paper proposes a UV curing binding method with an integrated piezo printing head system. The optimization of an arbitrary waveform generation for the control of a UV curable resin droplet was researched, in addition to developed optimized UV curing processes in multi nozzle ink jet heads.

• ETRI Journal
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• v.43 no.4
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• pp.728-745
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• 2021

Carbon nanotube field-effect transistors (CNTFETs) have been widely studied as a promising technology to be included in post-complementary metal-oxide-semiconductor integrated circuits. Despite significant advantages in terms of delay and power dissipation, the fabrication process for CNTFETs is plagued by fault occurrences. Therefore, developing a fast and accurate method for estimating the reliability of CNTFET-based digital circuits was the main goal of this study. In the proposed method, effects related to faults that occur in a gate's transistors are first represented as a probability transfer matrix. Next, the target circuit's graph is traversed in topological order and the reliabilities of the circuit's gates are computed. The accuracy of this method (less than 3% reliability estimation error) was verified through various simulations on the ISCAS 85 benchmark circuits. The proposed method outperforms previous methods in terms of both accuracy and computational complexity.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.287-306
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• 2014

Many researches have been processing on research records management and way of service for efficient usage of various records from R&D process. Especially, a study on type analysis and structured method of research records is very important for efficient knowledge transfer system. This study, as a basic study for integrated research record management system, is about how to structuralize records efficiently reflecting features of research records. First, analysis and systematization of broad records type made from atomic energy technology R&D process were conducted. Second, efficient methods for contents structuralization in terms of usage to maximize usage of research records were studied. This research tried to structuralize all records based on TOC enable to link, search and use of data for reflecting of integrated and systematic structure which is a feature of research record.

• Journal of Korean Academy of Nursing
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• v.35 no.7
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• pp.1238-1247
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• 2005

Purpose: This study aimed at developing integrated clinical performance indicators(CPIs) through the analysis of quality improvement(QI) activities of a hospital and literature review about performance measures. Method: The CPIs were developed through the following three stages; 1)Identifying preliminary CPIs 2)A staff validity test in preliminary CPIs 3)Developing final CPIs. Result: One hundred twenty-three preliminary CPIs were developed through QI activities of the target hospital for 8 years and literature review. The results of the validity test for the preliminary CPIs supported ninety-one items. Sixty-two CPIs were selected through integration, reclassification and renaming. Then, eighteen items were deleted on account of an imprecise calculation method. Finally, forty-four CPIs were confirmed. They consisted of twenty-six items at the hospital level and eighteen items at the department level. Conclusion: CPIs can be used as criteria to evaluate the performance of healthcare organizations, and to decide the quality of healthcare for customers. This study may contribute to establishing an integrated system between QI activities and performance measurement of healthcare organizations.

• Journal of Korea Water Resources Association
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• v.42 no.8
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• pp.591-605
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• 2009

In this study the risk integrated erosion and seepage failure factor and combined risk of the levee embankment were assessed. For the research of the reliability, the risk assessment of erosion, seepage and both of them combined for the levee embankment were conducted using discharge curve and stage hydrograph generated by stochastic rainfall variation method during typhoon and monsoon season. The risk of erosion was evaluated using tractive force and the seepage analysis was performed by selecting representative cross sections for SEEP/W model analysis. And the probability of seepage failure was assessed with MFOSM analysis using critical hydraulic gradient method. Unlike deterministic analysis method, quantitative risk could be obtained and the characteristics of realistic rainfall variation patterns as well as a variety of factors contributing to levee failure could be reflected in this research. The results of this study show significantly enhanced applicability for the combined risk. As this model can be employed to determine dangerous spots for levee failure and to establish flood insurance linked with flood risk map, it will dramatically contribute to the establishment of both efficient and systematic measures for integrated flood management on a watershed.