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김선아,강채현,이원경 한국정신간호학회 2022 정신간호학회지 Vol.31 No.3
Purpose: This study applied in-depth research methods on the level of securing mental health nurses in mental medical institutions targeting a group of experts in mental health nursing personnel, and sought paths toward revising enforcement regulations of the Mental Health Welfare Act in the future. Methods: Focus group interviews were conducted with experts experienced in conducting research on mental nursing staffing or policy development for nursing staffing. Results: Many experts in the field of psychiatric nursing must obtain additional accurate and valid support data to focus attention on the level of securing psychiatric nurses and discussing active efforts and short- and long-term strategies. Conclusion: It is important to prepare evidence for the quality level of psychiatric nursing, as well as to secure adequate manpower for psychiatric nurses. In the future, it is necessary to actively use these data for policies and research relative to psychiatric nurse workforce planning.
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김선아,강채현,이원경 한국정신간호학회 2022 정신간호학회지 Vol.31 No.4
Purpose: The purpose of this study is to investigate the patient safety status and patient safety education contents and methods perceived by nurses working in psychiatric hospitals. Methods: Data were collected using a semi-structured questionnaire for psychiatric hospital nurses who had worked for more than one year. A total of 157 questionnaires were filled and were used for analysis using descriptive statistics. Open-ended questions about the contents and methods of patient safety education were classified by each researcher and a reclassification was conducted by consensus through discussions. Results: Overall, 142 nurses (90.4%) experienced patient safety accident during the previous 1 month. Among those who experienced a patient safety accident, profanity, violence, and aggression-related accident counted for the highest percentage (82.8%). The demand for education on workplace stress management and education on psychiatric medication were the highest. Required education methods included case-by-case education on patient safety accidents, regular and continuous education, and small-scale face-to-face education. Conclusion: In the future, it is necessary to actively utilize the results of this study as basic data for in-depth research on the causes of patient safety accidents, accident prevention, and the workload of nursing personnel.
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인간-AI 협업에 영향을 미치는 요인: 주제범위 문헌고찰을 바탕으로
오수경,김제이,Marilou Hongkiangko,강채현,오수연,정수정,임다미 한국멀티미디어학회 2024 멀티미디어학회논문지 Vol.27 No.8
The purpose of this study is to analyze research trends related to human-AI collaboration, identify the context, subjects, and research methods, and explore the perspectives on human-AI collaboration and the factors influencing it. To achieve this, 20 studies on human-AI collaboration published domestically and internationally from 2014 to 2024 were analyzed using a scoping review approach. The analysis revealed that perspectives on human-AI collaboration fall into three categories: AI as a tool, task division between humans and AI, and the performance of complementary collaborative activities. The factors influencing human-AI collaboration were identified in the following order: AI-related factors, human characteristics, human-AI relationship factors, and socio-environmental factors.
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깊은 파이프라인의 SCL Polar Decoder를 위한 단 수를 줄인 Odd-Even 정렬기 구조
최훈환(Hun Hwan Choi),한승우(Seung Woo Han),강채현(Chae Hyun Kang),공병용(Byeong Yong Kong) 대한전자공학회 2022 대한전자공학회 학술대회 Vol.2022 No.11
This paper presents a stage-reduced odd-even sorter architecture for deeply pipelined successive cancellation list (SCL) polar decoders. First, by exploiting the relationships between the metrics of candidates maintained during the decoding process, unnecessary compare-and-swap units (CASUs) are pruned. Subsequently, the CASUs are relocated to minimize the number of CASU stages to go through from the beginning to the end of the sorter. Moreover, to verify the efficacy of the proposed sorter architecture for arbitrary list sizes, generalized formulae are derived. As a result, compared with the original odd-even sorter, about 60% CASUs and a few stages can be removed.
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SCL Polar Decoder를 위한 간략화된 Bitonic 정렬기의 설계 및 분석
한승우(Seung Woo Han),최훈환(Hun Hwan Choi),강채현(Chae Hyun Kang),공병용(Byeong Yong Kong) 대한전자공학회 2022 대한전자공학회 학술대회 Vol.2022 No.11
In this paper, a simplified bitonic sorter is designed and analyzed for successive cancellation list (SCL) polar decoders. First of all, unnecessary compare-and-swap units (CASUs) are identified and removed based on the relationships between the metrics in the list of SCL decoding. In addition, the CASU depth and the number of CASUs in the proposed sorter are formulated for arbitrary list sizes, and the metrics calculated by the derived formulae are compared with those of the original counterpart. Only 45% of the CASUs in the original bitonic sorter are required to build the proposed sorter.
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