• Journal of KSNVE
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• v.7 no.1
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• pp.55-60
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• 1997

In order to examine the validity of an asymptotic solution obtained from the method of multiple scales, we investigate a third-order subharmonic resonance response of a bar constrained by a nonlinear spring to a harmonic excitation. The motion of the bar is governed by a linear partial differential equation with a nonlinear boundary condition. The nonlinear boundary value problem is solved by using the finite difference method. The numerical solution is compared with the asymptotic solution.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.607-613
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• 2011

This paper reviews search methods of multiple reasonable paths to implement multimodal public transportation network of Seoul. Such a large scale multimodal public transportation network as Seoul, the computation time of path finding algorithm is a key and the result of path should reflect route choice behavior of public transportation passengers. Search method of alternative path is divided by removing path method and deviation path method. It analyzes previous researches based on the complexity of algorithm for large-scale network. Applying path finding algorithm in public transportation network, transfer and loop constraints must be included to be able to reflect real behavior. It constructs the generalized cost function based on the smart card data to reflect travel behavior of public transportation. To validate the availability of algorithm, experiments conducted with Seoul metropolitan public multimodal transportation network consisted with 22,109 nodes and 215,859 links by using the deviation path method, suitable for large-scale network.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.6
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• pp.781-788
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• 1999

In this paper, an expert system is proposed, which can be effectively applied to the large-scale systems with the diversity time constraints, the objectives and the unfixed system structure. The inference scheme of the expert system have the integrated structure composed of the intuitive inference module and logical inference module in order to support effectively the operating constraints of system. The intuitive inference module is designed using the pattern matching or pattern recognition method in order to search a same or similar pattern under the fixed system structure. On the other hand, the logical inference module is designed as the structure with the multiple inference mode based on the heuristic search method in order to determine the optimal or near optimal control strategies satisfing the time constraints for system events under the unfixed system structure, and in order to use as knowledge generator. Here, inference mode consists of the best-first, the local-minimum tree, the breadth-iterative, the limited search width/time method. Finally, the application results for large-scale distribution SCADA system proves that the inference scheme of the expert system is very effective for the large-scale system. The expert system is implemented in C language for the dynamic mamory allocation method, database interface, compatability.

• Journal of IKEEE
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• v.22 no.3
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• pp.810-815
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• 2018

The kernelized correlation filter algorithm yielded meaningful results in accuracy for object tracking. However, because of the use of a fixed size template, we could not cope with the scale change of the tracking object. In this paper, we propose a method to track objects by finding the best scale for each frame using correlation filtering response values in multi-scale using nearest neighbor interpolation and Gaussian normalization. The scale values of the next frame are updated using the optimal scale value of the previous frame and the optimal scale value of the next frame is found again. For the accuracy comparison, the validity of the proposed method is verified by using the VOT2014 data used in the existing kernelized correlation filter algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.731-740
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• 2015

In the recent days, interests in machine-to-machine communication schemes in small-scale networks has been increasing with growing demands. TDMA(Time Division Multiple Access) can be used as a multiple access method in small-scale networks. However, time synchronization for TDMA is complicated or needs additional equipments. Such a large cost is not suitable for small-scale networks. We propose, BC-DESYNC, a efficient time synchronization for small-scale networks by extending DESYNC(DESYNChronization). DESYNC takes a long time to complete synchronization and doesn't guarantee the synchronization delay. BC-DESYNC uses CU(Central Unit) that performs a centralized control to achieve the 2-hop communication and guarantees the synchronization completion time by using Mimic firing and C-DESYNC scheme.

• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.493-502
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• 2002

Purpose: This study was conducted to measure the levels of Health status, perceived stress, self-esteem, and achievement motivation and assertive behavior of adolescents. The relationships among these variables as well as predictors of health status were examined. Method: The sample was composed of 496 students (male: 195. female: 301) from 3 high schools in Seoul and Kyunggi-Do regions. The instruments used in this study were as follows: health status scale developed by Noh (1991), perceived stress scale developed by Park(1996), self-esteem scale developed by Rosenberg (1965), achievement motivation scale developed by Park(1986) and assertive behavior scale developed by Kim(1982). The reliability of the five instruments were examined using Chronbachs' a that ranged from, .63 to .90 in this study. The data were analyzed with the SAS program using descriptive statistics, t-test, ANOVA, Duncan multiple comparison, Pearson correlation coefficients, and stepwise multiple regression. Results: The results were as follows: 1. The mean score .of health status was 3.1, which was higher than the median of the instrument. 2. There were significant correlations of health status with self-esteem (r=.381. p=.0001), assertive behavior (r=.503. p=.0001), and perceived stress (r=-.352. p=.0001). 3. Stepwise multiple regression analysis showed that 34% of health status was affected by the level of assertive behavior (25%), self-esteem (7%), and perceived stress (2%). Conclusion: Based on these findings, assertive behavior and self-esteem appear to be specific important areas of future research as to better understand the health status of adolescents, and to develop health status-related interventions for them.

• Korean Journal of Adult Nursing
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• v.17 no.2
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• pp.310-319
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• 2005

Purpose: The purpose of the study is to investigate the degree of fatigue and its related factors in patients with breast cancer. Method: The subjects of this study consisted of 62 breast cancer patients receiving chemotherapy. The Revised Piper Fatigue Scale, Disruption of Usual Activity Scale, Linear Analogue Self Assessment Scale and Self-Care Diary Scale were employed to measure fatigue, disruption of usual activity, mood state and physical symptom respectively. Collected data were analyzed using SPSS-PC to obtain summary statistics for the descriptive analysis, Pearson Correlation, and Stepwise Multiple Regression. Result: The results are as follows. 1. The mean score of the degree of fatigue was 4.82 points indicating moderate level. 2. The mean score of the degree of disruption of usual activity, mood state and physical symptom were 2.66, 5.00, and 4.69 points. 3. Fatigue of the subjects was significantly correlated with disruption of usual activity(r=.517, p<.01), mood state(r=.420, p<.01) and physical symptom(r=.463, p<.01). 4. With the result of stepwise multiple regression, disruption of usual activity, mood state and physical symptom being the three variables which could explain fatigue by 39.1%. The results of this study suggest that comprehensive intervention strategy for fatigue should be developed to maintain quality of life during and following chemotherapy considering these factors.

• Women's Health Nursing
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• v.17 no.5
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• pp.491-498
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• 2011

Purpose: Recently as couples have only one or two children, they concern about their children's optimal health. Furthermore, as the basic principles of Korean traditional prenatal education (Taegyo) are supported by scientific evidence, and as increasing numbers of pregnant women are recognizing Taegyo refresh, the practice of Taegyo is growing. The purpose of this study was to identify the factors associated with the practice of Taegyo among pregnant Korean women. Methods: This was a cross-sectional, survey study of 228 pregnant women recruited at a health center in South Korea using a convenience sampling method. The instruments included the perception of Taegyo scale, the spouse's support scale, the self-confidence for infant care scale, and the practice of Taegyo scale. The data were analyzed using descriptive statistics and multiple regression analyses. Results: The results of the stepwise multiple regression analysis indicated that the following factors accounted for 26.5% of the variance in the practice of Taegyo: the perception of Taegyo, family income. Conclusion: Consequently, this result showed that the pregnant women were influenced by family income, spouses' support as requisite factors, and also they developed the level of self-confidence for infant care and the perception of Taegyo as self-care agency for the practice of Taegyo. The present study findings will add to the accumulated knowledge of health care professionals about the cultural factors involved in the practice of Taegyo and the traditional cultural beliefs and culture-specific health promoting behaviors of ethnic minority pregnant women to provide culturally competent care for them.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.211-216
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• 2021

This study intended to test the structure of the latent factor of a subjective happiness scale and the stability of invariance across groups of students' classifications (gender and students' status). In the large, non-clinical sample (619), students completed the subjective happiness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students classifications. The findings of the CFA indicated support for the original one-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of students' statuses. The scale exists in both groups to assess the same concepts of (single and married), excluding Items 3 and 4. Given that this study is the first investigation for the structure of the subjective happiness scale.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.149-156
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• 2021

This study intended to test the structure of the latent factor of an effectiveness scale and the stability of invariance across groups of students' classifications (gender and levels of education). In the large, non-clinical sample (850), students completed the effectiveness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students' classifications. The findings of the CFA indicated support for the original four-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of levels of education. The scale exists in groups of levels of education assess the same concepts of, excluding Items 15 and 10. Given that this study is the first investigation for the structure of the effectiveness scale.