• Journal of Korean Academy of Nursing
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• v.39 no.4
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• pp.499-507
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• 2009

Purpose: This study was conducted to identify the factors that influence nurses' organizational citizenship behavior. Methods: A cross-sectional design was used, with a convenience sample of 547 nurses from four university hospitals in Seoul and Gyeonggi province. The data were collected through a questionnaire survey done from September 22 to October 10, 2008. The tools used for this study were scales on organizational citizenship behavior (14 items), self-leadership (14 items), empowerment (10 items), organizational commitment (7 items), job satisfaction (8 items) and transformational transactional leadership (14 items). Cronbach's alpha and factor analysis were examined to test reliability and construct validity of the scale. The data collected were processed using SPSS Window 15.0 Program for actual numbers and percentages, differences in the dependent variable according to general characteristics, and means, standard deviations, correlation coefficients and multiple regression analysis. Results: The factors influencing nurses' organizational citizenship behavior were identified as self-leadership ($\beta=.247$), empowerment ($\beta=.233$), job satisfaction ($\beta=.209$), organizational commitment ($\beta=.158$), and transactional leadership ($\beta=.142$). Five factors explained 42.0% of nurses' organizational citizenship behavior. Conclusion: The results of this study can be used to develop further management strategies for enhancement of nurses' organizational citizenship behavior.

• Journal of Advanced Navigation Technology
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• v.5 no.1
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• pp.26-36
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• 2001

One of the most important problems in time-varying image sequences is the automatic target tracking. This paper proposes a position prediction and tracking technique of moving object using fuzzy prediction. First, the object is segmented from background of the image using accumulative difference image technique. Then centroid of the segmented object is extracted by using the centroid method, and we propose to apply variable size searching window to the object in order to increase the tracking performance. Also, non-linear prediction is required for efficient object tracking. Therefore, in this paper, fuzzy prediction method is proposed for predicting the location of the moving object at next frame. An experimental result shows that the proposed fuzzy prediction system tracks the moving object in stable under various conditions.

• Journal of the Korea Society of Computer and Information
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• v.9 no.3
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• pp.79-85
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• 2004

In this paper, an iterative algorithm for stereo registration is proposed. The proposed algorithm is used for reconstructing virtual environment in a virtual studio. The second order error function is employed for stereo registration. The disparity information is obtained by minimizing the error function in an iterative manner. The variable window sizes are used to cope with the projection error and occlusion problem in the stereo vision. The depth information obtained from two pairs of stereo images is used for creating virtual environment by Z-Mixing. The experiment results proves the possibility of applying the proposed algorithm to virtual studio.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.40 no.10
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• pp.51-58
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• 2003

In this paper, we propose a group scheduling scheme to efficiently utilize network resources for core nodes in optical burst switching networks. This scheme schedules multiple bursts utilizing an interval graph to obtain the maximum stable set using the information such as arrival times and burst lengths from the collected header packets. Simultaneous scheduling of multiple bursts in a scheduling window results in lower burst loss probability and increased channel utilization than those proposed previously using one-to-one mapping. Simulation results for both cases of variable and fixed burst sizes show that the group scheduling scheme is better than the immediate scheduling, so called Latest Available Unused Channel with Void Filling, scheme in both performance metrics above mentioned.

• Journal of Electrical Engineering and Technology
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• v.6 no.2
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• pp.154-160
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• 2011

A new algorithm for estimating the fundamental frequency of power system signals is presented. The proposed algorithm consists of two stages: orthogonal decomposition and a complex Prony analysis. First, the input signal is decomposed into two orthogonal components using cosine and sine filters, and a variable window is adapted to enhance the performance of eliminating harmonics. Then a complex Prony analysis that is proposed in this paper is used to estimate the fundamental frequency by approximating the cosine-filtered and sine-filtered signals simultaneously. To evaluate the performance of the algorithm, amplitude modulation and harmonic tests were performed using simulated test signals. The performance of the algorithm was also assessed for dynamic conditions on a single-machine power system. The Electromagnetic Transients Program was used to generate voltage signals for a load increase and single phase-to-ground faults. The performance evaluation showed that the proposed algorithm accurately estimated the fundamental frequency of power system signals in the presence of amplitude modulation and harmonics.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.29-40
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• 2020

The research aims to explore the links among corporate governance, corporate social responsibility, and earnings management, considering vital roles of each component in Vietnam. There were 500 questionnaires provided to the targeted enterprises, where there were 150 enterprises in Ho Chi Minh Stock Exchange, 150 enterprises in Hanoi Stock Exchange, and 200 enterprises in the unlisted public company market. Of the distributed questionnaires, only 289 replies offered needed information for analyses. The data derived from these firms was based on their annual or sustainability statements that were retrieved from the websites. This research used a six-year rolling window to calculate earnings management. To compute that variable, lagged year information was included, so the data from 2011 to 2017 was needed to collect. The empirical results show that corporate governance mechanism is a significant moderation in the positive link between good corporate social responsibility and earnings management. Furthermore, corporate social responsibility and earnings management also play mediating roles in the associations among corporate governance, corporate social responsibility, and earnings management. This project recommends that corporate governance mechanism is an essential driver of the managerial behaviors in social responsibility and ethical accounting practices, which are in turn mediators in the joint research model.

• Journal of Korea Multimedia Society
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• v.16 no.12
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• pp.1368-1375
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• 2013

In this paper, we presents a spatially adaptive noise detection and removal algorithm. Under the assumption that an observed image and the additive noise have Gaussian distribution, the noise parameters are estimated with local statistics, and the parameters are used to define the constraints on the noise detection process, where the first order Markov Random Field (MRF) is used. In addition, an adaptive low-pass filter having a variable window sizes defined by the constraints on noise detection is used to control the degree of smoothness of the reconstructed image. Experimental results demonstrate the capability of the proposed algorithm.

• Journal of the Korea Society of Computer and Information
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• v.7 no.4
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• pp.127-132
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• 2002

This paper aims to adjust the window size according to the network condition that the sender determines by making the receiver participating in the congestion levels. TCP-RLDM has the measurement-based transmission strategy based on the data-receiving rate complementing TCP with the property of Additive Increase / Multiplicative Decrease. The protocol can make an performance improvement by responding differently according to the property of errors-whether congestion losses or transient transmission errors - to confront dynamically in heterogeneous environments with wired or wireless networks and delay-sensitive or -tolerant applications. By collecting data-receiving rate and the cause of errors from the receiver and by enabling sender to use the congestion avoidance strategy before occuring congestion possibly, the protocol works well at variable network environments.

• Journal of Korea Foundry Society
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• v.34 no.3
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• pp.107-111
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• 2014

Permeability is the ability of a material to transmit fluid/gases. It is an important material property and it depends on mould parameters such as grain fineness number, clay, moisture, mulling time, and hardness. Modeling the relationships among these variable and interactions by mathematical models is complex. Hence a biologically inspired artificial neural-network technique with a back-propagation-learning algorithm was developed to estimate the permeability of green sand. The developed model was used to perform a sensitivity analysis to estimate permeability. The individual as well as the combined influence of mould parameters on permeability were simulated. The model was able to describe the complex relationships in the system. The optimum process window for maximum permeability was obtained as 8.75-10.5% clay and 3.9-9.5% moisture. The developed model is very useful in understanding various interactions between inputs and their effects on permeability.

• Journal of IKEEE
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• v.18 no.4
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• pp.523-531
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• 2014

In this paper, a fast single image blind denoising algorithm is presented, where noise parameters are estimated by local statistics of an observed degraded image without a prior information about the additive noise. The estimated noise parameters are used to define the constraints on the noise detection which is coupled with the 1st-order Markov Random Field. In addition, an adaptive modified weighted Gaussian filter is introduced, where variable window sizes and weighting coefficients defined by the constraints are used to control the degree of the smoothness of the reconstructed image. The experimental results demonstrate the capability of the proposed algorithm. Please put the abstract of paper here.