• Journal of Institute of Control, Robotics and Systems
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• v.16 no.12
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• pp.1220-1225
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• 2010

This paper proposes a novel active noise control (ANC) approach that uses an IIR filter and neural network techniques to effectively reduce interior noise. We construct a multiple-channel IIR filter module which is a linearly augmented framework with a generic IIR model to generate a primary control signal. A three-layer perceptron neural network is employed for establishing a secondary-path model to represent air channels among noise fields. Since the IIR module and neural network are connected in series, the output of an IIR filter is transferred forward to the neural model to generate a final ANC signal. A gradient descent optimization based learning algorithm is analytically derived for the optimal selection of the ANC parameter vectors. Moreover, re-estimation of partial parameter vectors in the ANC system is proposed for online learning. Lastly, we present the results of a numerical study to test our ANC methodology with realistic interior noise measurement obtained from Korean railway trains.

• Proceedings of the Korean Geotechical Society Conference
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• 2006.03a
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• pp.582-589
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• 2006

Shear wane velocity is important property for grasping the dynamic characteristics of material. It is has been used in various fields such as non-destructive testings of structures, seismic analysis of geotechnical structures and maintenance of concrete structure, and etc. Usually, shear wave velocities of rock cores and concrete cylinders are determined by free-free resonance tests, Shear wave measurement in free-free resonance tests is not straightforward, as compared with rod wave and flexural wane measurements. In This study, a new technique using resonance features of flexural and shear waves were proposed in which the nodal points for the fundamental mode of flexural waves were employed to generate and measure the shear waves with the flexural waves minimized. The real measurements for aluminum cylinders proved validity and reliability of the proposed algorithm. In addition to the proposed algorithm, the effects of material properties on elastic-wave velocities in resonance measurements were also studied. In summary, a new framework of the resonance measurements for shear-wave velocity determination was established, based on the results of this thesis.

• Child Health Nursing Research
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• v.23 no.1
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• pp.81-90
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• 2017

Purpose: The purpose of this study was to identify trends in intervention studies on childhood obesity in Korea. Methods: From 1996, when the first research paper on childhood obesity intervention was published, to 2015, 192 published papers were analyzed using descriptive statistics. Results: The number of studies increased sharply between 1996 and 2007, but declined slightly from then. The majority of studies involved only children as intervention participants. Most were elementary students, and overweight and obese children. Exercise therapy was the most common type of intervention. Parental participation was found in 35 studies, while teacher's participation was found in only one study. In many studies physiological indicators were used as measurement variables, but follow-up was done in only 10 studies. Finally, only a few studies applied a conceptual framework, while a quasi-experimental research design was used for most studies. Conclusion: Examination of trends in intervention studies on childhood obesity in Korea, shows there has been a quantitative increase but not enough improvement in terms of the quality of interventions. Findings in the present study suggest that it is necessary to seek diversity in terms of study participants, interventions and evaluation method along with quality improvement in research methodology.

• The Korean Journal of Food And Nutrition
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• v.29 no.1
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• pp.104-114
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• 2016

In this study, we investigated protection motivation and behavioral intention to prevent serious illnesses related to excessive sodium intake among the university students in Gyeongnam and Busan. Within the protection motivation theory (PMT) framework, a survey questionnaire was developed to measure participants' perceptions on the severity of and the vulnerability to the threat of serious diseases due to the high sodium intake as well as the effectiveness of preventive measures (response efficacy), and the ability to perform them (self-efficacy) along with their willingness to follow recommendations (behavioral intention). Data was collected in June 2015. Study participants were divided into either low (n=117) or high (n=177) sodium intake behavior groups based on their current behaviors. Exploratory factor analysis was performed to measure construct validity and Cronbach's alpha was calculated to check reliability of measurement items. The high sodium intake behavior group perceived higher vulnerability than the low sodium intake behavior group among four PMT factors. Differences of the other three factors were not significant between the two groups. The results of hierarchical regression analysis indicated that self-efficacy and response efficacy affected behavioral intention of high sodium intake behavior among students. Hence, development of strategies to increase self-efficacy and response efficacy are strongly recommended.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.35D no.10
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• pp.60-66
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• 1998

The hot carrier induced performance degradation of 0.8${\mu}{\textrm}{m}$ RF NMOSFET has been investigated within the general framework of the degradation mechanism. The device degradation model of an unit finger gate MOSFET could be applied for the device degradation of the multi finger gate RF NMOSFET. The reduction of cut-off frequency and maximum frequency can be explained by the transconductance reduction and the drain output conductance increase, which are due to the interface state generation after the hot carrier stressing. From the correlation between hot carrier induced DC and RF performance degradation, we can predict the RF performance degradation just by the DC performance degradation measurement.

• Bulletin of the Korean Chemical Society
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• v.35 no.8
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• pp.2375-2380
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• 2014

In the present investigation, a series of some novel 1,3-diaryl/heteroarylprop-2-en-1-one derivatives (3a-j) have been synthesized and evaluated for their in vitro cytotoxicity against three cancer cell lines, two hepatocarcinoma cell lines HUH-7, Hep-3b and one leukemia cancer cell line MOLT-4. Based on these results, structure-activity relationship (SAR) was studied on modification of $R^1$ and $R^2$ to identify the compound with maximum potency. Amongst the compounds, 3b and 3d strongly inhibited the growth of Hep-3b and MOLT-4 cells with $IC_{50}$ value of 3.39 and $3.63{\mu}M$ respectively. The results obtained from the inhibitory study had further been supported by the reactive oxygen species (ROS) measurement using flow cytometry in MOLT-4 cells. These observations collectively reveal that compounds comprising 1,3-diarylprop-2-en-1-one framework with pyrazole ring at position-3 and heteroaryl/aryl substituents at position-1 can be used as promising anticancer agents.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.25 no.11
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• pp.606-611
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• 2013

In responding to the recent framework convention on climate change, and the rise of the need for energy efficient buildings, such as Zero Energy Buildings (ZEB), domestic insulation standards and energy conservation regulations are being reinforced, to prevent heat loss. Accordingly, the Ministry of Land, Infrastructure and Transport have made amendments in Chapter 21 "Enforcement regulations for building facilities standards etc.", and Chapter 22 "Energy conservation standard", to reflect these changes. To effectively implement these regulations, it is required to propose air-tightness test methods, and establish air-tightness standards, based on the air leakage characteristics of domestic apartment housings. This research has been done primarily to collect basic technical data, to provide guidance for the establishment of domestic air-tightness standards for new apartment housing, through studying air-tightness test methods, field measurement on air-tightness of new apartment housings, and air leakage characteristics of major developed countries.

• Nuclear Engineering and Technology
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• v.49 no.2
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• pp.327-334
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• 2017

Common-cause failure (CCF) events can significantly impact the availability of safety systems of nuclear power plants. For this reason, the International Common Cause Data Exchange (ICDE) project was initiated by several countries in 1994. Since 1997 it has been operated within the Organisation for Economic Co-operation and Development (OECD)/Nuclear Energy Agency (NEA) framework and has successfully been operated over six consecutive terms (the current term being 2015-2017). The ICDE project allows multiple countries to collaborate and exchange CCF data to enhance the quality of risk analyses, which include CCF modeling. As CCF events are typically rare, most countries do not experience enough CCF events to perform meaningful analyses. Data combined from several countries, however, have yielded sufficient data for more rigorous analyses. The ICDE project has meanwhile published 11 reports on the collection and analysis of CCF events of specific component types (centrifugal pumps, emergency diesel generators, motor operated valves, safety and relief valves, check valves, circuit breakers, level measurement, control rod drive assemblies, and heat exchangers) and two topical reports. This paper presents recent activities and lessons learnt from the data collection and the results of topical analysis on emergency diesel generator CCF impacting entire exposed population.

• Korean Journal of Occupational Health Nursing
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• v.29 no.4
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• pp.354-362
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• 2020

Purpose: This study aimed to define and clarify learning transfer in nursing. Methods: This study used a hybrid model to analyze the concept of learning transfer in nursing through three phases. For the theoretical phase, learning transfer attributes were identified through a scoping literature review. In the fieldwork phase, in-depth focus group interviews were conducted to develop attributes. Purposive sampling was performed with ten participants(five nursing students, two nurses, three nursing faculty members). In the analysis phase, the attributes and final analysis of learning transfer in nursing were extracted and integrated from the previous two phases. Results: According to the analysis, learning transfer was represented in two dimensions with eight attributes. The development of competency dimension had three attributes: 1) theory acquisition, nursing skills, professional attitude, 2) integration, and 3) analysis competency. The competency change dimension had five attributes: 1) appropriateness in patient care, 2) proficiency in patient care, 3) satisfaction, 4) achievement, and 5) confidence. Conclusion: The concept analysis might provide a basic understanding of learning transfer, a development framework toward a measurement of nursing learning transfer and effective educational nursing strategies.

• Wind and Structures
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• v.31 no.4
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• pp.363-371
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• 2020

Proper understanding of offshore wind speed variability is of essential importance in practice, which provides useful information to a wide range of coastal and marine activities. In this paper, long-term wind speed data recorded at various offshore stations are analyzed in the framework of fractal dimension analysis. Fractal analysis is a well-established data analysis tool, which is particularly suitable to determine the complexity in time series from a quantitative point of view. The fractal dimension is estimated using the conventional box-counting method. The results suggest that the wind speed data are generally fractals, which are likely to exhibit a persistent nature. The mean fractal dimension varies from 1.31 at an offshore weather station to 1.43 at an urban station, which is mainly associated with surface roughness condition. Monthly variability of fractal dimension at offshore stations is well-defined, which often possess larger values during hotter months and lower values during winter. This is partly attributed to the effect of thermal instability. In addition, with an increase in measurement interval, the mean and minimum fractal dimension decrease, whereas the maximum and coefficient of variation increase in parallel.