• 한국간호교육학회지
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• 제19권4호
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• pp.656-662
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• 2013

Purpose: This study was to investigate the effects of a family nursing practicum using role play on emotional intelligence, communication ability, and family nursing performance of nursing students. Methods: Role play training was provided to nursing students who took a community health nursing practicum (family nursing practicum). During the course for 2 weeks, participants were given role play practice for four times and a final test using role play at the end of the course. Data were collected from 52 nursing students before and after the family nurse practicum who agreed to participate in this study. Results: The scores of emotional intelligence, communication ability, and family nursing performance at post test were enhanced significantly compared to the scores at pre test. Conclusion: Nursing educators in family nursing can consider role play to improve emotional intelligence and communication ability as well as family nursing performance.

• 한국간호교육학회지
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• 제29권3호
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• pp.234-246
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• 2023

Purpose: This study aimed to develop a case-based nursing education program using generative artificial intelligence and to assess its usability and applicability in nursing curriculums. Methods: The program was developed by following the five steps of the ADDIE model: analysis, design, development, implementation, and evaluation. A panel of five nursing professors served as experts to implement and evaluate the program. Results: Utilizing ChatGPT, six program modules were designed and developed based on experiential learning theory. The experts' evaluations confirmed that the program was suitable for case-based learning, highly usable, and applicable to nursing education. Conclusion: Generative artificial intelligence was identified as a valuable tool for enhancing the effectiveness of case-based learning. This study provides insights and future directions for integrating generative artificial intelligence into nursing education. Further research should be attempted to implement and evaluate this program with nursing students.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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• pp.63-66
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• 2022

본 논문에서는 분자의 특성을 정확하게 예측하기 위해 효과적인 사전학습(pretraining) 전략과 트랜스포머(Transformer) 모델을 활용한 방법을 제시한다. 딥러닝을 활용한 분자의 성능을 예측하는 연구는 그동안 레이블이 부족한 분자데이터의 특성에 의해 학습 때 사용된 데이터이외의 분자데이터에 대해 일반화 능력이 떨어지는 어려움을 겪었다. 이 논문에서 제시한 모델은 사전학습(pretraining)을 수행할 때 자기지도학습(self-supervised training)을 사용하여 부족한 레이블에 의한 문제점을 피할 수 있다. 대규모 분자 데이터셋으로부터 학습된 이 모델은 4가지 다운스트림 데이터셋에 대해 모두 우수한 성능을 보여주어 일반화 성능이 뛰어나며 효과적인 분자표현을 얻을 수 있음을 보인다.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.1-14
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• 2024

While text-to-image models have made remarkable progress in image synthesis, certain models, particularly generative diffusion models, have exhibited a noticeable bias to- wards generating images related to the culture of some developing countries. This paper introduces an empirical investigation aimed at mitigating the bias of image generative model. We achieve this by incorporating symbols representing Saudi culture into a stable diffusion model using the Dreambooth technique. CLIP score metric is used to assess the outcomes in this study. This paper also explores the impact of varying parameters for instance the quantity of training images and the learning rate. The findings reveal a substantial reduction in bias-related concerns and propose an innovative metric for evaluating cultural relevance.

• ETRI Journal
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• 제43권4호
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• pp.603-616
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• 2021

Over the last few years, autonomous vehicles have progressed very rapidly. The odometry technique that estimates displacement from consecutive sensor inputs is an essential technique for autonomous driving. In this article, we propose a fast, robust, and accurate odometry technique. The proposed technique is light detection and ranging (LiDAR)-based direct odometry, which uses a spherical range image (SRI) that projects a three-dimensional point cloud onto a two-dimensional spherical image plane. Direct odometry is developed in a vision-based method, and a fast execution speed can be expected. However, applying LiDAR data is difficult because of the sparsity. To solve this problem, we propose an SRI generation method and mathematical analysis, two key point sampling methods using SRI to increase precision and robustness, and a fast optimization method. The proposed technique was tested with the KITTI dataset and real environments. Evaluation results yielded a translation error of 0.69%, a rotation error of 0.0031°/m in the KITTI training dataset, and an execution time of 17 ms. The results demonstrated high precision comparable with state-of-the-art and remarkably higher speed than conventional techniques.

• ETRI Journal
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• 제46권1호
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• pp.127-136
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• 2024

The Korean language has written (formal) and spoken (phonetic) forms that differ in their application, which can lead to confusion, especially when dealing with numbers and embedded Western words and phrases. This fact makes it difficult to automate Korean speech recognition models due to the need for a complete transcription training dataset. Because such datasets are frequently constructed using broadcast audio and their accompanying transcriptions, they do not follow a discrete rule-based matching pattern. Furthermore, these mismatches are exacerbated over time due to changing tacit policies. To mitigate this problem, we introduce a data-driven Korean spoken-to-written transcription conversion technique that enhances the automatic conversion of numbers and Western phrases to improve automatic translation model performance.

• 수산해양교육연구
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• 제23권2호
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• pp.290-301
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• 2011

The purposes of this study were to test differences in conflict-resolving strategies and emotional intelligence based on children's peer status, and to verify the discriminance of conflict-resolving strategies and emotional intelligence for peer status. 58 popular children and 52 rejected children from 4 elementary school were selected, and the data were analyzed with independent sample t-test and discriminant analysis. The research findings are as follows: First, negotiation- and cooperation-strategies (sub-factors of conflict-resolving strategy) and emotional intelligence showed statistically significant differences between popular children and rejected children, while other sub-factors of conflict-resolving strategy and sub-factors of emotional intelligence showed indifference between them. Second, negotiation- and cooperation-strategies among 4 sub-factors of conflict-resolving strategy and 5 sub-factors of emotional intelligence were the most discriminant predictors for children's peer status. The results suggest systematic teacher training and program for the rejected children's improvement of negotiation- and cooperation-strategies in their peer relations.

• 간호행정학회지
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• 제21권1호
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• pp.32-42
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• 2015

Purpose: This study was done to elicit basic data for effective human resource management by identifying the relationships among job embeddedness, emotional intelligence, social support, and the turnover intention of Nurses. Methods: Research design was to build a hypothetical causal model between variables and to verify its fitness. The sample for this study was 283 nurses with careers of more than 6 months in one hospital of more than 800 beds located in Seoul. They agreed in writing and this study was approved by the Institutional Review Board. Data were analyzed using SPSS 18.0 and AMOS 18.0 program. Results: Differences in general characteristics for the variables were significant for age, marital status, education, work experience, job title, income, and department. Job embeddedness, emotional intelligence and social support were significantly correlated to turnover intention. Job embeddedness to emotional intelligence and social support showed positive effects and a negative effect to turnover intention. Emotional intelligence to turnover intention showed a positive effect, but social support was not significant. Conclusion: Organizations should provide ways to minimize voluntary turnover of a competent workforce and demonstrate their competency. Also it should develop training and management programs to effectively utilize emotional intelligence.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.169-180
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• 2020

Globalization has led to a dramatic increase in intercultural service encounters between services providers and customers from diverse cultural backgrounds. This paper explores the causal relationship between service employees‟ cultural intelligence and adaptive sales behavior in intercultural service encounters, and the mediating effect of cognitive and emotional empathy on this relationship. A quantitative survey methodology was utilized to collect data on 341 salespeople at duty-free shops located on Jeju Island, Korea. Data analysis was conducted using SPSS 18 and Amos 18. The results show that cultural intelligence has a significant impact on cognitive empathy, emotional empathy, and adaptive sales behavior. Cognitive empathy has a positive impact on adaptive sales behavior, whereas the relationship between emotional empathy and adaptive sales behavior is not significant. Additionally, cognitive empathy mediates the relationship of cultural intelligence and adaptive sales behavior. This study has useful managerial implications for employee selection, training, and development in service firms engaged in intercultural service encounters. This study extends prior research on intercultural service encounters by exploring the direct impact of cultural intelligence on intercultural adaptation and the mediating effect of empathy, suggesting the presence of a cognitive mechanism that plays a key role in the impact of cultural intelligence on adaptive sales behavior.

• 한국보육지원학회지
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• 제17권6호
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• pp.15-28
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• 2021

Objective: The purpose of this study was to examine the mediating effect of teacher emotional intelligence in the relationship between job environments and teacher efficacy. Methods: Participants of this study were 205 child care teachers from U-city. Correlation analysis between variables was conducted with the collected data, and regression analysis was conducted to verify the mediating effect of emotional intelligence in the relationship between the job environment of daycare centers and teacher efficacy. Results: First, there was a positive correlation between job environments, teacher efficacy, and teacher emotional intelligence. Second, job environments and teacher emotional intelligence had a significant direct effect on teacher efficacy and teacher emotional intelligence also had a significant indirect effect between job environments and teacher efficacy. Conclusion/Implications: The way to improve the quality of child care is to improve the quality of teachers. Among the teacher's competencies, it is very important to increase teacher efficacy. Teacher efficacy plays a very important role in the quality of childcare and the healthy development of toddlers and children. In order to increase teacher efficacy, policy support for the job environment and training support to increase teacher efficacy are considered necessary.