• Korean Journal of Adult Nursing
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• v.19 no.3
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• pp.389-400
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• 2007

Purposes: This study was designed to explore the stage distribution of subjects according to stage of change for calcium intake and for exercise, and to identify factors that could discriminate among subjects in various stages. Methods: The sample consisted of 142 subjects who had taken bone mineral densitometry tests. The instruments used in this study were the Stage Placement Instrument for Calcium Intake and Exercise, the Osteoporosis Health Belief Scale and the Osteoporosis Knowledge Test, and the Osteoporosis Self Efficacy Scale. Data were analyzed using chi square, ANOVA, and discriminant analysis by using the SPSS 12.0 program. Results: For calcium stages, economic level, calcium knowledge, positive social norms for calcium intake, & educational level showed high standardized canonical discriminant function coefficients. For exercise stages, exercise efficacy, susceptibility, exercise benefit, educational level, positive social norm to exercise, educational level, and exercise barrier showed high standardized canonical discriminant function coefficients. Conclusion: This study implies that bone mass promoting program incorporating a stages of change model can be applied as useful nursing intervention.

• Korean Journal of Adult Nursing
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• v.13 no.3
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• pp.463-475
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• 2001

The purpose of the study was to examine if individual characteristics and experiences related to smoking behavior identified from the literature were significantly associated with behavior-specific cognitions and affect in the same way as presented in Pender's Revised Health Promotion Model(Pender, 1996). The subjects selected for this study were 400 college students enrolled in more than 10 colleges located in Seoul and Kyunggi-Inchon province. According to the study results, personal factors (i.e., perceived health status, the past history of disease, and symptoms related to smoking) and related behavior (i.e., the degree of alcohol consumption, and exercise) are significantly associated with behavior-specific cognitions and affect (i.e., perceived barriers to smoking cessation, perceived self-efficacy, and perceived benefits of smoking cessation). The canonical correlation between two groups of variables was .59, and it turned out to be statistically significant. Thirty-four percent of variance of the relationship between two group of variables was explained by two canonical variates which turned out to be significant in the study results. The result could be interpreted from the view of psycho-social area as follows: overall, this study includes important variables which explain the association between two groups of variables.

• Asian Journal of Business Environment
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• v.8 no.4
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• pp.37-44
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• 2018

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America's economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America's macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America's macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America's GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America's import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America's macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

• Child Health Nursing Research
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• v.14 no.4
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• pp.415-422
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• 2008

Purpose: The purpose of this study was to investigate the relationships of ego-resilience, stress coping styles and disposition to delinquency in middle school students. Method: The data were collected from October 15 to October 30, 2005. The subjects were 223 middle school students in 2nd grade in G city. To determine the most effective variable of ego-resilience to stress coping styles and disposition to delinquency, the dada were analyzed using Canonical correlation with SAS 9.1 TS, and Pearson's correlation with percentages, means, standard deviations with SPSS 14.0 K. Result: Ego-resilience showed a significant positive correlation with active coping styles and a significant negative correlation with passive coping styles, and disposition to delinquency. Canonical correlation analysis of 5 sub-domains of ego-resilience showed that curiosity made the highest contribution to predicting stress coping styles and vitality made the highest contribution in predicting disposition to delinquency in middle school students. Conclusions: The results of this study suggest that the development of ego-resilience for adolescents is important to improve stress coping strategies and decrease delinquency. Therefore, to increase ego-resilience, Stress Coping Programs should include curiosity and Delinquency Intervention Programs should include vitality.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.31A no.12
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• pp.142-151
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• 1994

This paper proposes new algorithms to solve canonical piecewise-linear equations with linear partitions and illustrates their efficiency through the analysis of resistive network. The basic idea of the proposed algorithm is to find the best next guess, closest to the actual solution, at each Newton-Raphson (N-R) iteration by comparing the images of nest guess candidates and that of the actual solution. The proposed algorithm can reduce the number of the N-R iterations rquired for convergence greatly, compared to the actual solution, at each Newton-Raphson (N-R) iteration by comparing the images of next guess candidates and that of the actual solution. The proposed algorithm can reduce the number of the N-R iterations required for convergence greatly, compared to the Katzenelson algorithm. When applied to analyzing test circuits, the proposed algorithm required 8 to 20 times fewer N-R iterations and 5 to 10 times less CPU time than the Katzenelson algorithm, depending on the size of the circuits. The experimental results also exhibit that the efficiency of the proposed algorithm over the Katzenelson algorithm increases as the number of the piecewise-linear regions for the representation of the circuit.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.12
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• pp.24-30
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• 2010

The super-resolution near-field structure (super-RENS) disc system is the most promising one for next-generation optical data storage systems to succeed the Blu-ray disc (BD). In this paper, we apply the simplicial canonical piecewise-linear (SCPWL) model to modeling super-RENS read-out signals since reliable and accurate channel modeling is essential for performance analysis and development of equalizers for super-RENS systems. The validity of this model is verified using radio frequency (RF) signal samples obtained from a super-RENS disc, The experiment results on modeling indicate that the SCPWL model can be efficiently utilized for the nonlinear modeling of the super-RENS systems.

• Journal of Power Electronics
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• v.14 no.5
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• pp.1057-1068
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• 2014

Phase-locked loops (PLL) based on the synchronous reference frame (SRF-PLL) have recently become the most widely-used for grid synchronization in three phase grid-connected inverters. However, it is difficult to study their performance since they are nonlinear systems. To estimate the performances of a SRF-PLL, a canonical small-signal linearized model has been developed in this paper. Based on the proposed model, several significant specifications of a SRF-PLL, such as the capture time, capture rang, bandwidth, the product of capture time and bandwidth, and steady-state error have been investigated. Finally, a noise model of a SRF-PLL has been put forward to analyze the noise rejection ability by computing the SNR (signal-to-noise ratio) of a SRF-PLL. Several simulation and experimental results have been provided to verify and validate the obtained conclusions. Although the proposed model and analysis method are based on a SRF-PLL, they are also suitable for analyzing other types of PLLs.

• The Journal of Korean Academic Society of Nursing Education
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• v.3
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• pp.78-98
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• 1997

Health education, as the most fundamental concept for national health promotion, alms for developing the self-care ability of the general public. High school days are regarded as the period when most important physical, mental and social developments occur, and most health-related behaviors are formed. School health education is one of the major learning resources influencing health potential in the home and community as well as for the individual student. High school health education in Korea has a fundamental systemic flaw in that health-related subjects are divided and taught under various subjects areas at school. In order to achieve the goal of school health education, it is essential to make a systematic assessment of the learner's concerns connected with his health and life, and the factors affecting them. So far, most of the research projects that had been carried out for improving high school health education were limited in their concerns to a particular aspect of health. Even though some had been done in view of comprehensive school health education, they failed to Include a health assessment of the learner. Therefore, in this study the high school students' concerns related to health and life were investigated in the first place on the basis of the PRECEDE model, developed by Green and others for the purpose of a comprehensive diagnostic research on high school health education. This study was done in two steps : one was the basic study for developing research instrument and the other was the main one. The former was conducted at five high schools in Seoul and Cheongju for 2 months-beginning in March, 1996. The students were asked to respond to questions related to their health and lives in unstructured open-ended question forms. On the basis of analysis of the basic study, the diagnostic instruments for the quality of life, health problems, health behavior and educational factors were constructed to be used for the collection of data for main study. An expert panel and the pilot study were used to improve content validity and reliability of the instruments. The reliability of the instruments was measured at between .7697 and .9611 by the Cronbach $\alpha$. The data for this study were collected from the sample consisted of the junior and senior classes of twenty general and vocational high schools in Seoul and Cheongju for two months period beginning in July, 1996. In analyzing the data, both t-test and $X^2$-test were done by using SAS-$PC^+$ Program to compare data between the sexes of the high school students and the types of high school. A canonical correlation analysis was carried out to determine the relationships among the diagnostic variables, and a multivariate multiple regression analysis was conducted by using LISREL 8.03 to ascertain the influences of variables on the high school students' health and quality of life. The results were as follows : 1) The findings of the hypothesis tests (1) The canonical correlation between the educational diagnosis variables and behavioral, epidemiological, social diagnosis variables was .7221, which was significant at the level of p<.001. (2) The canonical correlation between the educational diagnosis variables and the behavior variables was .6851, which also was significant (p<.001). (3) The canonical correlation between the behavioral diagnosis variables and the epidemiological variables was 4295, which was significant (p<.001). (4) The canonical correlation between the epidemiological diagnosis variables and the social variables was .6005, which was also significant (p<.001). Therefore, the relationship between each diagnosis variable suggested by the PRECEDE model had been experimentally proven to be valid, supporting the conceptual framework of the study as appropriate for assessing the multi-dimensional factors affecting high school students' health and quality of life. Health behavior self-efficacy, the level of parents' interest and knowledge of health, and the level of the perception of school health education, all of which are the educational diagnostic variables, are the most influential variables in students' health and quality of life. In particular, health behavior self-efficacy, a causative factor, was one of the main influential variables in their health and quality of life. Other diagnostic variables suggested in the steps of the PRECEDE model were found to have reciprocal relations rather than a unidirectional causative relationship. The significance of this research is that it has diagnosed the needs of high school health education by the learner-centered assessment of variety of factors related to the health and the life of the students. This research findings suggest an integrated system of school health education to be contrived to enhance the effectiveness of the education by strengthening the influential factors such as self-efficacy to improve the health and quality of the lives of high school students.

• Korean Journal of Environment and Ecology
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• v.32 no.5
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• pp.497-506
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• 2018

The purpose of this study was to investigate the proper minimum viable population of a seed bank for the ecological restoration of pine forest using a seed bank. It examined the germinated soil seed bank from August 2010 to November 2011. The results of the correlation analysis showed that the area and the number of herbaceous species were the highest at 0.686. The results of the regression analysis of four variables including the number of woody species, the number of woody individuals, the number of herbaceous species, and the number of herbaceous individuals using the theory of island biogeography to the minimum viable population in studied plots showed that all four variables were significant with area at the level of 0.05, and R square was 0.583. One function was selected between the number of species and the number of individuals from the canonical correlation analysis, and the function square was 0.824. Both canonical function and squared canonical correlation showed significant at the level of 0.01. The result of study recommended the area size of the minimum viable population in pine forest applied by seed bank to be larger than $64m^2$, the number of species to be over 21, and the number of population to be over 120. It also found that the number of herbaceous species determined the cluster size of the seed bank. Therefore, it is necessary to consider herbaceous species that appear in the seed bank.

• Korean Journal of Environmental Biology
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• v.30 no.3
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• pp.219-230
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• 2012

We surveyed 23 sites of Jinhae Bay in spring and summer 2010 in order to study the correlation between the variation of environmental factors, including salinity, temperature, and nutrients and the characteristics of phytoplankton community structures in summer stratification. Phytoplankton biomass was high in the surface water in summer; however, it was very low in the bottom water. The results showed a negative correlation between chlorophyll a (chl. a) and nutrients (silicate, nitrate, nitrite, ammonium, and phosphate) or nutrients ratio in summer; however, there was mostly a positive correlation between chl. a and these nutrients in spring. This inconsistent correlation between spring and summer was attributed to the phytoplankton community, because a diverse phytoplankton community has different nutrient uptake abilities. In addition, the results of CCA (canonical correspondence analysis) showed a negative correlation between phosphate and dominant species, including Chaetoceros spp., Skeletonema costatum-like spp., and Pseudo-nitzschia delicatissima in summer, but a strong positive correlation between DIN (dissolved inorganic nitrogen) and the dominant species, including Cryptomonas spp. and Pseudo-nitzschia multistriata in spring. Consistently, the dominant algal species in summer showed a relatively smaller size cells compared with those in spring, suggested that it may have related with the low nutrient levels at surface layer due to strong stratified water column of summer.