• Transactions of the Korean Society of Mechanical Engineers B
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• v.33 no.2
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• pp.141-148
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• 2009

Axial-flow compressor is one of the most important parts of gas turbine units with axial turbine and combustor. Therefore, precise prediction of performance is very important for development of new compressor or modification of existing one. Meanline analysis is a simple, fast and powerful method for performance prediction of axial-flow compressors with different geometries. So, Meanline analysis is frequently used in preliminary design stage and performance analysis for given geometry data. Much correlations for meanline analysis have been developed theoretically and experimentally for estimating various types of losses and flow deviation angle for long time. In present study, meanline analysis program was developed to estimate compressor losses, incidence angles, deviation angles, stall and surge conditions with many correlations. Performance prediction of one stage axial compressors is conducted with this meanline analysis program. The comparison between experimental and numerical results show a good agreement. This meanline analysis program can be used for various types of single stage axial-flow compressors with different geometries, as well as multistage axial-flow compressors.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.85-91
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• 2016

It was difficult to verify the car number or face of inspector in the closed circuit television because of low CCD pixels and low brightness of lens. So CCTV lens should have higher pixels and brightness. In this paper, the design of zoom lens for mega pixel Closed-Circuit Television (CCTV) was introduced. We applied aspheric lens in order to reduce the spherical aberration and distortional aberration. And we applied focal length of 6-60mm, F number of 1.2, 3 million pixel resolution and magnifying power of 10 times. Also we applied infrared correction in order to use the CCTV camera in day and night effectively. These norms are the most powerful in CCTV zoom lens of focal length of 6-60mm. And if we apply this lens to the box style CCTV camera, we can verify the car number or face within 50m. Auto controlling system will be continued.

• International Journal of Reliability and Applications
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• v.7 no.2
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• pp.167-175
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• 2006

Effective and quick methods that are easy to carry out even by hand, or easy to be programmed by hand-held calculators are needed for assessing the sizes of contrasts of unreplicated $2^P$ factorial designs. Moreover, they have the advantage to use the original numerical measurements which makes the analysis easier to explain. Basically, Lenth (1989) is one of the most familiar of such quick and powerful methods. Later on, Aboukalam (2001) proposes under constant effects an alternative sophisticated method to Lenth's method. The proposed method is the supreme from two considerable powers. The first utmost indicates less inflation deficiency while the other utmost indicates less shrinkage deficiency. Also under constant effects, Al-Shiha (2006) introduces an alternative quick method which is less shrinkage deficiency while the inflation deficiency is the same. If effects are random, Aboukalam (2005) introduces an alternative quick method in which the first power is favored as long as the second power is within a small margin. In the spirit of quickness and fixed effects, this article adds another method which is supreme from the two considerable powers. The method is based on a one step of the scale-part of a suggested M-estimate for location. Explicitly, we suggest adapting the skipped median (ASKM) estimate. Critical values of ASKM-method, for several sample sizes often used, are empirically computed.

• Journal of Korean Academy of Nursing
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• v.35 no.4
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• pp.721-727
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• 2005

Purpose. This cross-sectional survey was conducted to described the compliance of Breast Self-Examination of middle-aged women using a convenient sample, and to examine relationships between the compliance of BSE and Health Beliefs, and the influencing factors on the compliance of BSE. Methods. The subjects were 373 literate volunteers who were from 41 to 60 years of age who visited 6 public health centers. From June 7, 2004 to August 20, 2004, data were collected by 5 research assistants using a self-report questionnaire. The questionnaire was used to obtain information on the general characteristics, knowledge, health beliefs, and compliance of BSE. Results. The findings of this study suggested that there were significant differences in the scores of the perceived susceptibility and severity between compliers and non-compliers of the BSE. BSE compliance was significantly correlated with knowledge, perceived susceptibility, and perceived severity. The most powerful predictor of BSE compliance was the perceived susceptibility. The perceived susceptibility, the perceived severity, the knowledge and educational level accounted for $41.8\%$ of the variance in middle aged women's BSE compliance. Conclusion. Increase in knowledge about breast cancer, with a concomitant increase in both perceived susceptibility and perceived severity could produce a subtle cue or motivating force sufficient to affect a behavior change. Further research is needed to examine the qualitative difference between BSE and other early detection behaviors.

• Journal of Korean Academy of Nursing
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• v.34 no.1
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• pp.45-52
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• 2004

Purpose: This study was performed to identify the influencing factors on alienation among high school students. Method: Data was collected by questionnaires from 550 students of academic and vocational high schools in G city. The data was analyzed using descriptive statistics, pearson correlation coefficients, and stepwise multiple regression. Result: The scores of alienation among students in financially lower middle class and lower class were higher than those of the upper middle class students, resulting in significant differences(F=6.87, p=.00). A sense of alienation showed a significantly negative correlation with the scores of responding parenting style(r=-.32), family cohesion(r=-.33), school attachment(r=-.51), academic performance(r=-.34), peer relationships(r=-.38), self-control(r=-.43), and social skills(r=-.33). The most powerful predictor of alienation among high school students was school attachment and the variance explained was 26%. A combination of school attachment, self control, peer relationships, family cohesion, demanding parenting style, and academic performance account for 40% of the variance in alienation among high school students. Conclusion: This study suggests that school attachment, self control, peer relationships, family cohesion, demanding parenting style, and academic performance are significant influencing factors on alienation in high school students. Therefore, nursing strategy is needed to manage these revealed factors.

• Korean Journal of Childcare and Education
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• v.9 no.3
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• pp.75-93
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• 2013

The present study was to investigate if quality of childcare curriculum implementation could be predicted by educational climate, teachers' professionalism, and teacher/classroom characteristics. According to the results, strong positive associations existed between eudcational climate, professionalism, and implementation of childcare curriculum. The most powerful predictor of curriculum implementation quality was 'respect and acceptance' which was a sub-factor of educational climate. Also, 'public service', a sub-factor of professionalism, explained a significant amount of variances in quality of curriculum implementation. Among teacher/childcare characteristics, the type of centers was one of the strong predictors. These study results provide meaningful implications regarding the importance of socio-cultural contexts in childcare centers as well as teachers'professionalism.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.3
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• pp.340-349
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• 2015

Purpose: Patients on hemodialysis need to manage the stress of having a life-threatening condition. The purpose of this study was to identify factors associated with stress among patients on hemodialysis. Methods: The research had a cross-sectional, descriptive design using a questionnaire. The participants were 91 adult patients on hemodialysis from four dialysis centers in a large Korean city. Data were analyzed with the SAS 9.2 program using descriptive statistics, t-tests, ANOVA, and multiple regression. Results: There were statistically significant differences in stress by age, dialysis period, and change in employment status. In hemodialysis patients, stress was significantly positive correlated with fatigue and depression, but negatively correlated with self-esteem. Stepwise multiple regression analysis for stress revealed that the most powerful predictor was depression. Depression and fatigue explained 32.5% of the variance. Conclusion: The results indicate a need to manage the stress of these patients. The findings also suggest that consideration be given to characteristics of age, dialysis period, and employment status in developing strategies to reduce depression and fatigue and developing programs to manage the stress of patients on hemodialysis.

• Korean Journal of Occupational Health Nursing
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• v.19 no.1
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• pp.5-13
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• 2010

Purpose: This study aims to develop a tool to predict occupational health patients' nursing needs or nursing time. Method: A tool was composed based on the materials and opinion of experts, and to verify the reliability and validity of the tool, nursing time of total 311 inpatients in 2 occupational health hospitals were surveyed. Results: The developed tool was total 151 items and composed of physical function, cognitive function, communication, emotional and disturbance behavior, nursing skill, and rehabilitation need. The reliability of the tool was high, showing Cronbach's alpha coefficient of 0.95. But several items should be deleted for low corrected item-total correlation. According to the multiple regression analysis, physical function and rehabilitation need were shown to be the most powerful predictive variables for nursing time. Conclusion: The developed tool was appeared to have high reliability and validity. But further refinement of the tool is needed.

• Phonetics and Speech Sciences
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• v.7 no.3
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• pp.131-138
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• 2015

In this paper, we propose L1-norm regularization for state vector adaptation of subspace Gaussian mixture model (SGMM). When you design a speaker adaptation system with GMM-HMM acoustic model, MAP is the most typical technique to be considered. However, in MAP adaptation procedure, large number of parameters should be updated simultaneously. We can adopt sparse adaptation such as L1-norm regularization or sparse MAP to cope with that, but the performance of sparse adaptation is not good as MAP adaptation. However, SGMM does not suffer a lot from sparse adaptation as GMM-HMM because each Gaussian mean vector in SGMM is defined as a weighted sum of basis vectors, which is much robust to the fluctuation of parameters. Since there are only a few adaptation techniques appropriate for SGMM, our proposed method could be powerful especially when the number of adaptation data is limited. Experimental results show that error reduction rate of the proposed method is better than the result of MAP adaptation of SGMM, even with small adaptation data.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.128.2-128.2
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• 2012

Spectro-polarimetry is the most powerful technique for deducing the magnetic structure of the Sun. Stokes vector allow us to infer the physical conditions in the solar atmosphere prevailing during the line formation. Inversion codes are the main tool to extract this information from the Stokes spectra. This study will focus on measurements of the chromospheric He I 1083.0 nm triplet and the photospheric Si I 1082.7 nm line. A spectropolarimetric data set of sunspots, obtained with the German Vacuum Tower Telescope (VTT) at the Teide observatory on Tenerife, is analyzed using an inversion technique. We will introduce the German Vacuum Tower Telescope and the inversion code HeLix, and will show data sets that are analyzed by HeLix. Finally I made variety plots and maps for understanding photospheric and chromospheric layers of sunspots.