• The Transactions of the Korean Institute of Electrical Engineers P
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• v.66 no.2
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• pp.88-93
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• 2017

Thermal power plants play an important role in the country's power supply, but often violate the Industrial Safety and Health Act due to lack of safety awareness about the incompatibility of electrical safety and safety facilities. In this study, safety diagnosis was performed for each of the five major thermal power plants in Korea. For the 18 sites including coal, LNG, and power plants, we investigate the main violations of Article 327 and conduct intensive analysis on repetitive electrical safety violations to propose preventive measures that meet the characteristics of the power plant.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.5
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• pp.918-922
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• 2009

The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, the planning cannot use cost minimizing objective function in the power markets with many market participants. This paper proposed the power expansion planning process in the power markets. This system is composed of Regulator and GENCO's model. Regulator model used multi-criteria decision making rule. GENCO model is very complex problem. Thus, this system transacted the part by several scenario assuming GENCO model.

• Proceedings of the KIPE Conference
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• 2016.07a
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• pp.95-96
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• 2016

This paper presents a voltage and frequency droop control for accurate power sharing of parallel distributed generation (DG) inverters in low voltage microgrid. In practice, line impedances between inverters and the point of common coupling of a microgrid are not always equal. This inequality in line impedances often results in reactive power sharing mismatch among inverters. To address this problem, intensive researches have been conducting. Although these methods can solve the unbalanced reactive power sharing, there are still problems remain unresolved, such as complicated structure or circulating current. To overcome such problems, a new droop control scheme is proposed, which not only guarantees accurate reactive power sharing but also has simple structure so that it can be easily implemented in existing systems without any hardware modification. The simulation is performed using Matlab/Simulinks to validate the proposed scheme.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.3
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• pp.462-466
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• 2009

The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, the planning can't use cost minimizing objective function in the power markets with many market participants. This paper proposed the power expansion planning model using multi-criteria decision rule. This model used multi objective function considering not only cost minimizing but also GENCO's intension. This paper compared proposed model with WASP model in order to verify the result of proposed model.

• Journal of Power Electronics
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• v.17 no.6
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• pp.1637-1649
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• 2017

This paper describes an intensive analysis of a harmonic identification algorithm in non-ideal voltages source systems. The dq-axis Fourier with a positive sequence voltage detector (DQFP) is a novel harmonic identification algorithm for active power filters. A compensating current control system based on repetitive control is presented. A design and stability analysis of the proposed current control are also given. The aim of the paper is to achieve a robustness of the harmonic identification in a distorted and unbalanced voltage source. The proposed ideas are supported by a hardware in the loop technique based on a $eZdsp^{TM}$ F28335 and the Simulink program. The obtained results are presented to demonstrate the performance of the harmonic identification and the control strategy for the active power filter in non-ideal systems.

• Child Health Nursing Research
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• v.26 no.2
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• pp.131-139
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• 2020

Purpose: This study was conducted to identify factors related to developmental care performance among neonatal intensive care units (NICU) nurses. Methods: The participants were 139 nurses who had provided care to premature infants for more than 6 months and were recruited from the NICU of 8 hospitals. Data were collected from September 1 to December 1, 2017 through questionnaires that encompassed developmental care performance, developmental care perceptions, and the nursing work environment. Results: More than half (51.8%) of the participants responded that they had never received developmental care education, and for 89.6% of those who had received developmental care education, it was a one-time event. The average developmental care performance of NICU nurses was 0.81, with a range of 0.5~1 point. Multiple regression analysis, demonstrated that the nursing work environment (β=.27, p=.001) and developmental care perceptions (β=.23, p=.004) influenced developmental care performance, with a total explanatory power of 14%. Conclusion: Based on these results, developmental care education for the NICU nurses must be provided systematically. In addition, strategies to improve nurses' perceptions of developmental care and to provide appropriate support for the nursing work environment can promote developmental care performance.

• Journal of Korean Critical Care Nursing
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• v.11 no.2
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• pp.63-74
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• 2018

Purpose : This study aimed to identify the factors influencing job satisfaction in intensive care unit (ICU) nurses. Method : Using a cross-sectional design, data collected from 145 ICU nurses working at two university hospitals with more than 1,200 beds located in B and Y city were analyzed. The instruments used for this study assessed autonomy, communication satisfaction, resilience, and job satisfaction. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple linear regression analysis. Results : Job satisfaction was significantly correlated with communication satisfaction (r=.60, p < .001) and resilience (r=.34, p < .001). Further, job satisfaction was influenced by communication satisfaction (${\beta}=.48$, p < .001), working at a surgery ICU (${\beta}=.21$, p =.008), and dissatisfaction with nursing (${\beta}=-.24$, p =.005). The explanatory power of this model was 44.7%. Conclusion : These results suggest the need for programs to improve communication satisfaction and nursing satisfaction.

• Journal of Korean Critical Care Nursing
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• v.12 no.2
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• pp.13-25
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• 2019

Purpose : The purpose of this study was to identify factors influencing the professional self-concept of nurses working in intensive care units (ICUs). Methods : Data were collected from July 1 to August 15, 2014. The subjects were 206 ICU nurses working in four university hospitals in B and U cities, Korea. Their professional self-concept was measured using Arthur's Scale revised by Yoon (2012), and professional quality of life (QOL) was measured using Pro QOL Korean Ver. 5 developed by Stamm (2010). Data were analyzed with SPSS Ver. 18, using a t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Results : Professional self-concept was significantly correlated with compassion satisfaction (r=.61, p<.001), and burn out (r=-.57, p<.001). The factors influencing professional self-concept were compassion satisfaction (${\beta}=.46$, p<.001), burn out (${\beta}=-.27$, p<.001), and education level (${\beta}=.14$, p =.014). The explanatory power of this model was 46.5%. Conclusion : The results suggest that the influencing factors found in this study should be considered when planning nursing intervention programs for improving the professional self-concept of ICU nurses.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3523-3543
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• 2022

Autonomous vehicles are gradually being regarded as the mainstream trend of future development of the automobile industry. Autonomous driving networks generate many intensive and delay-sensitive computing tasks. The storage space, computing power, and battery capacity of autonomous vehicle terminals cannot meet the resource requirements of the tasks. In this paper, we focus on the task scheduling problem of autonomous driving in software-defined edge networks. By analyzing the intensive and delay-sensitive computing tasks of autonomous vehicles, we propose an emotion model that is related to task urgency and changes with execution time and propose an optimal base station (BS) task scheduling (OBSTS) algorithm. Task sentiment is an important factor that changes with the length of time that computing tasks with different urgency levels remain in the queue. The algorithm uses task sentiment as a performance indicator to measure task scheduling. Experimental results show that the OBSTS algorithm can more effectively meet the intensive and delay-sensitive requirements of vehicle terminals for network resources and improve user service experience.

• Journal of Korean Clinical Nursing Research
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• v.24 no.3
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• pp.347-355
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• 2018

Purpose: The purpose of this study was to understand morality identity, occupational stress and authentic leadership and identify factors contributing to turnover intention among intensive care unit (ICU) nurses. Methods: Data were collected from 230 nurses at the university hospitals in Daegu, Ulsan and Busan between February 15 and March 23, 2017. Instruments measuring turnover intention, moral identity, occupational stress, and authentic leadership were utilized. Statistical analysis included t-test, ANOVA, Pearson correlational analysis, and hierarchical regression analysis. Results: A total of 207 nurses in ICU participated in this study. The power of explanation with age and dependents on turnover intention was 4.1%. With inclusion of occupational stress, moral identity, and authentic leadership factors put into the model, further 20.4% was explained. The explanatory power of the turnover intention in the final model was 23.6% (F=11.63 p<.001), and occupational stress was the key factor explaining turnover intention (${\beta}=.28$, p<.001). Predictive factors contributing to turnover intention were age, occupational stress, moral identity, and authentic leadership in final model. Conclusion: These findings demonstrated occupational stress, moral identity and authentic leadership as critical factors contributing turnover intention of ICU nurses. It is necessary to promote nursing manager's authentic leadership, and to encourage moral identity in ICU nurses. In addition, providing intervention programs to reduce occupational stress for ICU nurses is necessary.