• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.1
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• pp.8-18
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• 2008

In this paper, we propose an efficient algorithm using wavelet transform for still image database retrieval. Especially, it uses only the lowest frequency sub-band in multi-level wavelet transform so that a retrieval system uses a smaller quantity of memory and takes a faster processing time. We extract different textured features, statistical information such as mean, variance and histogram, from low frequency sub-band. Then we measure the distances between the query image and the images in a database in terms of these features. To obtain good retrieval performance, we use the first feature (mean and variance of wavelet coefficients) to filter out most of the unlikely images. The rest of the images are considered to be candidate images. Then we apply the second feature (histogram of wavelet coefficient) to rank all the candidate images. To evaluate the algorithm, we create various distorted image databases using MIT VisTex texture images and PICS natural images. Through simulations, we demonstrate that our method can achieve performance satisfactorily in terms of the retrieval accuracy as well as the both memory requirement and computational complexity. Therefore it is expected to provide good retrieval solution for JPEG-2000 using wavelet transform.

• Journal of Korean Society on Water Environment
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• v.23 no.2
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• pp.251-259
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• 2007

In this study three log-transformed linear regression models are compared with the focus of bias correction problem. The models are the traditional simple linear regression estimator (SL), the quasi maximum likelihood estimator (QMLE) and the minimum variance unbiased estimator (MVUE). Using such models, suspended solid loads can be estimated using the discharge - suspended solid data set that has been measured by NIER Nakdong River Water Environment Laboratory. As a result, SL shows negative bias for most values of the measured discharge range. QMLE is nearly unbiased for moderate values of the measured discharge range, but shows increasingly positive bias for either large or small value of the measured discharge range. MVUE is unbiased. It is also analyzed how the estimated regression coefficient and exponent are distributed along Nakdong river main stream.

• Journal of the Korean Society of School Health
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• v.30 no.2
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• pp.103-112
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• 2017

Purpose: The Purpose of this study was to examine school health teachers' burnout, engagement, job demands and job resources and to identify the factors that influence burnout and engagement. Methods: The participants were 222 school health teachers working in elementary, middle or high schools. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and hierarchical multiple regression. Results: The significant factors influencing burnout were rewards (${\beta}=-.51$), autonomy (${\beta}=-.15$), and job demands (${\beta}=.13$). These factors explained 42% of the variance in burnout. The significant factors influencing engagement were feedback (${\beta}=.49$), rewards (${\beta}=.21$), type of employment (${\beta}=.15$) and autonomy (${\beta}=.13$). These factors explained 49% of the variance in engagement. Conclusion: The study showed that job demands increase burnout, while job resources such as rewards and autonomy alleviate it. In addition, job resources, such as feedback, rewards and autonomy, increase engagement among school health teachers. Therefore, in order to reduce burnout and increase engagement among school health teachers, it is necessary to reduce the level of job demands and to provide enough job resources such as rewards, autonomy and feedback by improving the job environment.

• Journal of Korean society of Dental Hygiene
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• v.20 no.2
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• pp.167-174
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• 2020

Objectives: The aim of this study was to identify causal factors for continuous innovative behavior and devise a plan for effective member management by improving continuous innovative behavior. Methods: A self-reported questionnaire was filled out by 190 clinical dental hygienists from June 1 to July 31, 2019. Data were analyzed using SPSS 22.0. The independent t-test, one-way analysis of variance, Scheffe's post-hoc test, and Pearson's correlation coefficient analysis were performed, and a stepwise multiple regression analysis was conducted. Results: Dental hygienists scored 3.43 points in innovative behavior. Variables influencing innovative behavior were emotional intelligence, self-efficacy, and educational level. These factors had a variance of 47.5% among clinical dental hygienists. Conclusions: It is necessary to develop a regular program aimed at improving the emotional intelligence and self-efficacy of clinical dental hygienists to exert a positive work effect and improve their innovative behavior rather than assigning them simple tasks.

• Korean Parent-Child Health Journal
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• v.8 no.1
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• pp.64-74
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• 2005

Purpose: The purpose of this study was to identify the effects of self-esteem, family functioning, social support on health-promoting behavior and to investigate the factors affecting health-promoting behavior in adolescents. Method: The participants in this study were 181 students of high school located in Seoul and Daejon. The data were collected from November 1 to December 18, 2004. The date were analyzed with descriptive statistics, t-test or ANOVA, Pearson Correlation Coefficient and stepwise multiple regression. Result: Health-promoting behavior in adolescents was significantly different according to sex, grade, their father's school career and economic status. There was a Significant correlation between health-promoting behavior, self-esteem, family functioning and social support. Social support was a predictor of health-promoting behavior and accounted for 32% of the variance. Family functioning and self-esteem were also predictors of health-promoting behavior and accounted for 12% of the variance. Conclusions: This findings suggest that the program and strategies that increase health-promoting behavior by promoting self-esteem, family functioning and social support should be developed in adolescents.

• Child Health Nursing Research
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• v.24 no.2
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• pp.199-207
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• 2018

Purpose: The purpose of this study was to investigate resilience, coping, and mental health in relation to burnout and to identify factors influencing burnout in student nurses. Methods: A descriptive correlational study was conducted. The participants were 241 student nurses from 2 universities in B city. Data were analyzed using the t-test, analysis of variance, the Pearson correlation coefficient, the $Scheff{\acute{e}}$ test, and multiple regression analysis. Results: The mean score for burnout in student nurses was 3.01 out of 5 points. Burnout explained 29.2% of the variance in satisfaction with college life (${\beta}=-.367$, p<.001), coping (${\beta}=.293$, p<.001), mental health (${\beta}=.228$, p=.011), and training hospital (${\beta}=-.198$, p=.026). Conclusion: The results of our research suggest that satisfaction with college life is an important variable affecting burnout student nurses. Therefore, education is needed in order to develop for more effective teaching coping methods and strategies and to reduce burnout with nursing practice.

• Korean Journal of Occupational Health Nursing
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• v.21 no.3
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• pp.201-208
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• 2012

Purpose: This study aims at comparing nurses' knowledge, attitudes and nursing intention toward AIDS and Chronic Hepatitis B(CHB). Methods: The data were collected through self-reported questionnaires from 245 nurses between July and August, 2011. The nurses were recruited from 3 hospitals located in Seoul and Gyeonggi province. Pearson correlation coefficient and stepwise multiple regression were adopted to analyze the data. Results: Regarding AIDS, higher knowledge level was correlated with positive attitudes only(r=-.22, p<.001), which were correlated with favorable nursing intention(r=-.41, p<.001). Higher CHB knowledge level was correlated with both positive attitudes toward CHB(r=-.14, p= .030) and favorable nursing intention(r=.18, p= .004). Nursing intention toward AIDS was affected by attitudes(${\beta}$=.58, p<.001) and explained 16.6% of the variance. Both knowledge(${\beta}$=.35, p=.028) and attitudes(${\beta}$=-.49, p<.001) influenced nursing intention toward CHB and explained 19.1% of the variance. Conclusion: We need to promote nurses' positive attitudes toward AIDS to increase their nursing intention for people living with AIDS.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.49 no.2
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• pp.17-22
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• 2012

This paper deals with a precoder design method when the system has imperfect channel information. When MIMO relay system knows the correlation coefficient between perfect channel and imperfect channel information and the variance of the difference between perfect channel and correlated imperfect channel, source and relay precoders are designed to maximize the upper bound of the channel capacity. Also, we investigate channel capacities of the system using proposed precoder and compare with the optimal value according to the correlation and the variance of error channel by simulations.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.141-146
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• 2015

In order to classify and analyze variously compounded sound and voice signal from FPGA microphone, there are numerous systems to detect abnormality signal, however, they have a lot of problems to implement the abnormality signal detection efficiently and effectively. Therefore, we proposed a method that implements classifying the signal effectively and outputting the detection efficiently based on the algorithm applied FIFO structure (First-in First-out) by using microphone sensor which able to input the sound signal, and statistical variance and coefficient of variation (CV). The result showed 96.3% detection when the experiment was performed more than 100 times with the proposed algorithm applied system.

• Journal of Korean Clinical Nursing Research
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• v.25 no.2
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• pp.151-160
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• 2019

Purpose: This study aims to determine the relation among job stress, self-esteem, resilience, and field adaptation of the newly graduated nurses, through which an effective mediation strategy toward field adaptation and basic data on improving nursing quality can be established. Methods: The subjects were 110 newly graduated nurses who have worked at a tertiary hospital and a general hospital for less than 12 months. The data were collected, using self-reported questionnaires, from July 9 to July 31, 2018, and were analyzed by descriptive statistics, t-test, one-way ANOVA, $Scheff{\acute{e}}$ test, Pearson's correlation coefficient and stepwise multiple regression using an SPSS/WIN 24.0 program. Results: The study result showed that the newly graduated nurses' job stress, resilience, job satisfaction, and desired department influenced their field adaptation, explaining 60.2% of the variance in the field adaptation (F=42.14, p<.001). The nurses' job stress had the biggest influence on their field adaptation, explaining 38.7% of the variance. Conclusion: Human resource management strategy considering those influencing factors may improve the filed adaptation of newly graduated nurses and help them to retain in their work field.