• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.8
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• pp.1075-1079
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• 2014

In this paper, we describe the analysis and the compensation method of the g-sensitivity error for MEMS vibratory gyroscopes. Usually, the g-sensitivity error has been ignored in the commercial MEMS gyroscope, but it deserves our attention to apply for the missile application as a tactical grade performance. Thus, it is necessary to compensate for the g-sensitivity error to reach a tactical grade performance. Generally, the g-sensitivity error seems intuitively to be a gyroscope bias error proportional to the linear acceleration. However, we assert that the g-sensitivity error mainly causes not a bias error but a scale-factor error. And we verify that the g-sensitivity scale-factor error occurs due to the non-linearity of parallel plate electrodes. Therefore, we propose the compensation method to remove the g-sensitivity scale-factor error. The experimental result showed that a proposed compensation method improved successfully the performance of the MEMS vibratory gyroscope.

• Biotechnology and Bioprocess Engineering:BBE
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• v.1 no.1
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• pp.26-31
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• 1996

Since biosynthesis of lignin peroxidase from Phanerochaete chrysosporium was known to be sensitive to shear, it is interesting to understand the effects of the shear sensitivity for the overproduction of lignin peroxidase. In stirred-tank fermentor, the shear-sensitivity in lignin peroxidase biosynthesis was quantified by using Kolmogorov length scale. It was found that agitation at 80$\mu$m Kolmogorov length scale is advantageous for the production of lignin peroxidase from P. chrysosporium. To overcome the shear sensitivity in lignin peroxidase biosynthesis caused by the agitation,P. chrysosporium was immobilized on various solid carriers. The nylon-immobilized P. chrysosporium was chosen in the present study as a way to overcome the shear sensitivity at the ranges of above 50$\mu$m Kolmogorov length scale. The adhesion force between immobilized cell and carrier can be predicted by thermodynamic approach and used as a criteria to select an adequate carrier materials for immobilization.

• Child Health Nursing Research
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• v.17 no.4
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• pp.222-229
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• 2011

Purpose: This study was conducted to determine the predictors of cultural sensitivity for nursing students in Korea. Methods: The participants in this study were 332 nursing students. Data collection was conducted through the use of questionnaires which were constructed to include a Cultural Sensitivity Scale, Knowledge of Culture, Interpersonal Reaction Index, and Self-efficacy Scale. Results: Results showed that cultural sensitivity of nursing students was middle range. Knowledge level of culture was very low. There was a significant positive correlation between cultural sensitivity and knowledge of culture, empathy, and self-efficacy. The significant factors influencing cultural sensitivity of nursing students were empathy, self-efficacy, experience of an overseas trip and awareness of cultural education. These four factors explained 23.8% of the variance in cultural sensitivity of nursing students. Conclusion: These results indicate that cultural sensitivity is an important link with empathy and self-efficacy in nursing students. For nursing students to enhance cultural sensitivity, a transcultural nursing curriculum needs to develop for appropriate and effective services in cross-cultural situations of the multicultural families in Korea.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.2
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• pp.69-79
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• 2008

Landscape indices are effective tools to explain the spatial structure and patterns of ecological landscape including area/density, shape, core area, isolation/proximity, contagion/interspersion, and connectivity. More than 100 indices have been developed and an increasing amount of research explains changes in urban spaces using the indices. However, landscape indices have a high level of sensitivity to the scale of analysis - grain size and extent. If the scale sensitivity of indices is not considered, the research may produce inaccurate results. This study examines the scale sensitivity of landscape indices to find relatively stable indices in the complex geographical features of Korea. The scale sensitivity was analyzed using 20 categories of grain size and 41 categories of extent change. Landsat TM and ETM+ images of five years - 1985, 1991, 1996, 2000 and 2003 - were used, and 54 class level indices mounted on the FRAGSTATS program were examined. The results are as follows: First, according to the analysis of the scale sensitivity, 19 out of 54 class level indices were found to be stable to scale change. Second, the scale sensitivity was closely related to the green area ratio, and the typical threshold of change was $40{\sim}50%$. Third, among the 16 indices which were frequently used in the research in Korea, only 6 indices were relatively stable to the scale change. These results can be an effective basis for the selection of indices in the landscape ecology research in Korea.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.6
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• pp.438-445
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• 2019

In this paper, we present a new approach to extract the g-sensitivity scale-factor error for a MEMS gyroscope. MEMS gyroscopes, based on the use of both angular momentum and the Coriolis effect, have a g-sensitivity error due to mass unbalance. Generally, the g-sensitivity error is not considered in general use of gyroscopes, but it deserves our attention if we are to develop for tactical class performance and reliability. The g-sensitivity error during vehicle flight increases navigation error; so it must be analyzed and compensated for the use of MEMS IMU for high dynamics vehicle systems. Therefore, we analyzed how to extract the g-sensitivity scale-factor error from the inertial sensor error model. Furthermore we propose a new method to extract the g-sensitivity error using flight motion simulator. We verified our proposed method with experimental results.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.112-122
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• 2023

This study was conducted as part of a summer Korean language and culture program at a university in Korea, aimed at examining the changes in intercultural sensitivity among American students who participated in the program, as well as the Korean students who served as their language partners. The research utilized a mixed-method approach combining qualitative and quantitative analysis. To derive research findings, pre- and post-program Intercultural Sensitivity Scale surveys were administered to participating students and semi-structured interview data were collected from a randomly selected group of six students. The research findings indicated that among a total of twenty-seven students including both American and Korean students, significant changes in intercultural sensitivity were observed in the domain of Interaction Engagement. Furthermore, fourteen American students showed significant changes in their Interaction Confidence, while the Korean students who participated as language partners did not exhibit significant changes in the five subdomains of intercultural sensitivity.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.1020-1023
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• 1998

This paper presents a new approach to large-scale optimal generator maintenance scheduling. To do this, we developed a kind of discrete sensitivity index of each generator by using difference of objective fuction when it is on and off status. Based on the sensitivity value, we applied the conventional priority approach as an optimization method in the order of each generator's sensitivity measure. By applying the developed method, we can efficiently search the state space and dramatically reduce the computation time in a large scale power system.

• Physical Therapy Korea
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• v.23 no.4
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• pp.63-70
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• 2016

Background: The Pediatric Balance Scale (PBS) and the Fullerton Advanced Balance (FAB) scale were used to assess balance function in patients with balance problem. These multidimensional clinical balance scales provide information about potential risk factors for falls. Objects: The purpose of this study was to investigate and compare the predictive properties of the PBS and FAB scales relative to fall risk in children with cerebral palsy (CP) using a receiver operating characteristic analysis. Methods: In total, 49 children with CP (boy=21, girl=28) who were diagnosed with level 1 or 2 according to the Gross Motor Function Classification System participated in this study. The PBS and FAB were performed, and verified cut-off score, sensitivity, specificity, and the area of under the curve (AUC). Results: In this study, the PBS scale was as a predictive measure of fall risk, but the FAB was not significant in children with CP. A cut-off score of 45.5 points provided optimal sensitivity of .90 and specificity of .69 on the PBS, and a cut-off score of 21.5 points provided optimal sensitivity of .90 and specificity of .62 on the FAB. Both scales showed moderately accurate of AUC with .79 and .76, respectively. Conclusion: The PBS is a useful screening tool for predicting fall risk in children with cerebral palsy, and those who score 45.5 or lower indicate a high risk for falls and are in need of balance intervention.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.3
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• pp.137-145
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• 2014

We present a design sensitivity analysis(DSA) method for multiscale problems based on bridging scale decomposition. In this paper, we utilize a bridging scale method for the coupled system analysis. Since the analysis of full MD systems requires huge amount of computational costs, a coupled system of MD-level and continuum-level simulation is usually preferred. The information exchange between the MD and continuum levels is taken place at the MD-continuum boundary. In the bridging scale method, a generalized Langevin equation(GLE) is introduced for the reduced MD system and the GLE force using a time history kernel is applied at the boundary atoms in the MD system. Therefore, we can separately analyze the MD and continuum level simulations, which can accelerate the computing process. Once the simulation of coupled problems is successful, the need for the DSA is naturally arising for the optimization of macro-scale design, where the macro scale performance of the system is maximized considering the micro scale effects. The finite difference sensitivity is impractical for the gradient based optimization of large scale problems due to the restriction of computing costs but the analytical sensitivity for the coupled system is always accurate. In this study, we derive the analytical design sensitivity to verify the accuracy and applicability to the design optimization of the coupled system.

• Sleep Medicine and Psychophysiology
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• v.13 no.2
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• pp.59-66
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• 2006

The objective of this study was to investigate the relationship between insomnia severity, depression, anxiety, and anxiety sensitivity and to find out the explanatory variables that account for the insomnia severity among depression, anxiety, and anxiety sensitivity in general population. 95 mentally healthy volunteers who visit health promotion center of Kangbuk Samsung hospital for their regular medical examination were requested to complete Athens Insomnia Scale, Beck Depression Inventory, State-Trait Anxiety Inventory, and Anxiety Sensitivity Index. Association between total scores of Athens Insomnia Scale and other variables (total scores of Beck Depression Inventory excluded item 16, total scores of State Anxiety, total scores of Trait Anxiety, and total scores of Anxiety Sensitivity Scale) was assessed individually with partial correlations adjusted by age and then together using multiple regression analysis. The total scores of Athens Insomnia Scale were significantly associated with total scores of Beck Depression Inventory excluded item 16 (r=0.541, p<0.001), total scores of Trait Anxiety (r=0.642, p<0.001), total scores of State Anxiety (r=0.267, p<0.05), and total scores of Anxiety Sensitivity Index (r=0.312, p<0.01). Total scores of trait anxiety showed the highest correlation with the total scores of Athens Insomnia Scale and was the significant predictor to total scores of Athens Insomnia Scale among the other predictor variables (p<0.001). These results show that insomnia severity is positively correlated with depression, anxiety, and anxiety sensitivity. The correlation was strongest with trait anxiety. In addition, our results suggest that trait anxiety is associated with insomnia severity in general populations.