• Journal of the Korean Data and Information Science Society
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• v.14 no.3
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• pp.623-630
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• 2003

Recently, Tanaka(1988) derived two influence functions related to an eigenvalue problem $(A-\lambda_sI)\upsilon_s=0$ of real symmetric matrix A and used them for sensitivity analysis in principal component analysis. In this paper, we deal with the perturbation expansions up to quadratic terms of the same functions and discuss the application to sensitivity analysis in principal component regression analysis(PCRA). Numerical example is given to show how the approximation improves with the quadratic term.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.6
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• pp.670-676
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• 2004

Most metallic materials and alloys show rate independence or negative rate sensitivity in some temperature region when dynamic strain aging occurs. It is generally recognized that negative rate sensitivity is an essential feature of dynamic strain aging that can depend on strain and/or strain rate. The unified viscoplasticity theory based on overstress is applied to reproduce a change of rate sensitivity type that depends on strain or strain rate. This is accomplished through the introduction of a single new term in the growth law of the equilibrium stress, which is a tensor valued state variable of the model. It is also shown that the new term can be used to reproduce a dramatic increase of rate sensitivity in dynamic plasticity.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.30 no.1
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• pp.26-36
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• 2023

Purpose: This study investigated the organizational culture in hospital for infection control, moral sensitivity, and the degree of infection control among long-term care hospital nurses, and to identified the factors associated with infection control perfomance. Methods: 186 nurses who directly care for patients at seven Long-Term Care Hospitals in D Metropolitan City participated in the survey. Data were collected using self-reported questionnaires and analyzed using the IBM SPSS 26.0 software. Results: Moral sensitivity showed statistically significant differences in age (F=5.473, p=.065), clinical experience (F=8.890, p=.031), nursing hospital work experience (F=6.520, p=.038), religion (t=-2.01, p=.046) and position (t=-2.96, p=.003). Correlation analysis revealed that with moral sensitivity and effect of organizational culture on infection control, there was a positive correlation between infection control and patient-centered nursing (r=.201, p<.006), professionalism (r=.149, p<.042), benevolence (r=.303, p<.001), infection control organizational culture (r=.556, p<.001). Benevolence of moral sensitivity (β=.21, p=.001) and infection control organizational culture (β=.54, p<.001) were associated with infection control perfomance. Moral sensitivity (including patient-centered nursing, professionalism, and benevolence) and infection control organizational culture explained 33.8% of the variance in infection control (F=24.57, p<.001). Conclusion: It is important to improve the moral sensitivity of nurses and a positive organizational culture for better infection control. We need to develop intervention strategies and establish systematic and administrative support.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.4
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• pp.451-454
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• 2014

Short-term load forecasting(STLF) for electric power demand is essential for stable power system operation and efficient power market operation. We improved STLF method by using hourly temperature as an input data. In order to using hourly temperature to STLF algorithm, we calculated temperature-electric power demand sensitivity through past actual data and combined this sensitivity to exponential smoothing method which is one of the STLF method. The proposed method is verified by case study for a week. The result of case study shows that the average percentage errors of the proposed load forecasting method are improved comparing with errors of the previous methods.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1285-1289
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• 2004

Elman Discrete Recurrent Neural Networks Model(EDRNNM) was used to be a suitable short-term hydrological forecasting tool yielding a very high degree of flood stage forecasting accuracy at Musung station of Wi-stream one of IHP representative basins in South Korea. A relative new approach method has recurrent feedback nodes and virtual small memory in the structure. EDRNNM was trained by using two algorithms, namely, LMBP and RBP The model parameters, optimal connection weights and biases, were estimated during training procedure. They were applied to evaluate model validation. Sensitivity analysis test was also performed to account for the uncertainty of input nodes information. The sensitivity analysis approach could suggest a reduction of one from five initially chosen input nodes. Because the uncertainty of input nodes information always result in uncertainty in model results, it can help to reduce the uncertainty of EDRNNM application and management in small catchment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.240-251
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• 2018

This study was conducted to evaluate the moral distress, moral sensitivity, and the factors that influence moral distress and the experience of moral distress among nurse working in a long-term care hospital. Overall, 180 nurses working in long-term care hospital in G Province were evaluated. Date were collected from March 21 to April 8, 2016 and analyzed using the SPSS/WIN 23.0 program. The mean of moral distress among nurses was 3.57 and the moral sensitivity was 4.82, and these factors was significantly and positively correlated (r=0.494, p<0.001). Regression analysis revealed that the factors that significantly influenced moral distress were moral sensitivity and ethical dilemmas when conducting nursing practices. Situations that caused nurses to experience moral distress included inappropriate care behavior was not guaranteed the quality of nursing care, conditions related to unethical the human rights, conditions related to the lack of nursing staff and conditions related to the lack of support at the organizational and national level. Therefore, to reduce moral distress, nursing intervention programs that improve the moral sensitivity and ability to solve ethical-problems are needed for nurses working in long-term care facilities.

• Journal of Electrical Engineering and Technology
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• v.12 no.2
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• pp.541-548
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• 2017

An increasing concern is paid to short-term voltage stability with the growth of penetration of induction motor loads. Reactive power reserve(RPR) of power system is critical to improve voltage stability. A definition of short-term voltage stability-related RPR(SVRPR) is proposed. Generators vary their contributions to voltage stability with their location and system condition, etc. Voltage support coefficient based on the second-order trace sensitivity method is proposed to evaluate SVRPR's contribution to short-term voltage stability. The evaluation method can account for the generator's reactive support in transient process and the contingency severity. Then an optimization model to improve short-term voltage stability is built. To deal with multiple contingencies, contingency weight taking into account both its probability and severity is proposed. The optimization problem is solved by primal dual interior point method. Testing on IEEE_39 bus system, it is indicated that the method proposed is effective. Short-term voltage stability is improved significantly by the way of SVRPR optimization. Hence, the approach can be used to prevent the happening of voltage collapse during system's contingency.

• Journal of Sensor Science and Technology
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• v.17 no.4
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• pp.295-302
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• 2008

$TiO_2,\;ZrO_2$, and $SiO_2$ were added in the concentration of 1 - 3 wt.% to improve long-term stability for the $SnO2$ thick film gas sensor. Short-term sensor resistances up to 90 h were measured to investigate the stabilization time of initial resistance in air. Long-term resistance drifts in air and in gas to 5000 ppm methane for the sensors annealed at $750^{\circ}C$ for 1 h and continuously heated at an operating temperature of $400^{\circ}C$ were also measured up to 90 days at an interval of 1 day. The long-term drifts in methane sensitivity for the three metal oxide-doped $SnO2$ sensors are closely related to methane sensitivity level, catalytic activity, and long-term drift in sensor resistance in air. Those stabilities are mainly discussed in terms of oxidation state and catalytic activity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.123-125
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• 2022

In this paper, we introduce a system applied to long short-term memory using Yolo-pose. Using Yolo-pose from image data, data divided into daily life and falls are extracted and applied to LSTM for learning. In order to prevent overfitting, training is performed 8 to 2 validation and is represented by a confusion matrix. The result of Yolo-pose recorded 100% of both sensitivity and specificity, confirming that daily life and falls were well distinguished.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.121-130
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• 2019

The purpose of this study was to explore the level of the moral distress for nurses working in long-term care hospitals or nursing homes, and identify factors that influence the moral distress. Data were collected through self-reported questionnaires including the Korean version of Moral Distress Scale-Revised (KMDS-R), Jefferson Empathy Scale for Health professionals (K-JSE-HP), Moral Sensitivity Questionnaire (K-MSQ), and the Hospital Ethical Climate Survey (HECS). A total of 194 nurses from 11 long-term care hospitals or 27 nursing homes completed the structured questionnaires. Data were analyzed using IBM SPSS Statistics version 25. As results, the mean score for moral distress was $73.81{\pm}51.29$ in this study. The moral distress of nurses working at nursing homes was higher than that of nurses working in long-term care hospitals. Among the sub-factors of moral distress, the 'futile care' was the highest score and the 'limit to claim the ethical issue' was the lowest. The main factor affecting moral distress among nurses in this study was the ethical climate of organization. In this paper, we propose that in order to effectively reduce the moral distress of nurses working in a long-term care hospital or a nursing home, it is more impactful to address structural issues related to the caregiver workplace than to adjust individual factors.