• 스트레스연구
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• 제26권4호
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• pp.268-276
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• 2018

간호사의 의사소통은 신뢰관계와 간호의 질 보장을 위한 핵심 능력이다. 본 연구는 간호 대학생 3학년 35명을 대상으로 동기면담기반 의사소통훈련을 시행하였고 훈련 효과를 확인하였다. 4시간 단일 회기 훈련 후 핵심 기술인 반영하기와 반영의 깊이, 의사소통의 걸림돌과 닫힌질문 등에서 훈련의 성과를 확인하였다. 그러나 열린질문에 대해서는 유의미한 효과를 확인하지 못하여 향후 이와 관련한 변수에 대한 연구가 필요하다. 면담에 대한 자신감은 훈련 후 전반적으로 좋은 성과를 얻었는데 반영하기에 대한 자신감은 유의미하지 않아 반영하기에 대한 학생들의 자신감 고양을 위한 전략 마련이 필요하다. 훈련 방법 중에는 개별, 집단 피드백이 가장 큰 도움을 준 것으로 나타나 훈련가들의 피드백 역량에 대한 재고가 필요하다.

• 한국항공운항학회지
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• 제22권3호
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• pp.50-59
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• 2014

It has been focused on that the major reasons of aircraft accidents resulted not from human error but from the failure of teamwork or communication in 1980's. Such opinions were suggested in the workshop, so called, "Resource Management on the Flight Deck" by NASA in 1979. The researchers agreed the fact the source of human error was originated from the failure in teamwork, communication or even in leadership of captain. Due to the rapid development of aircraft technologies, the reasons for aircraft accident could be easily found out. According to the analysis results of the technology, most of reasons for the accident might directly be connected not to human error or stick-Rudder skill but to situational awareness, communication, leadership or decision making in the aircraft. This paper has tried to research empirically the satisfaction of flight crews who have gone thorugh CRM training in the commercial airline. Based on the quantitative scale by J. Ford et al. (2014), this paper has proved which characteristics of CRM training has a positive impact on the overall satisfaction of CRM training. It was proven that the teamwork and decision making programs among CRM training have a major effect to the satisfaction level of flight crews.

• 대한간호학회지
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• 제36권5호
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• pp.681-690
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• 2006

Purpose: The purpose of this study was to investigate the effects of assertiveness training on nurses' assertive behaviors, interpersonal relations, communication conflicts, conflict management style and personnel turnover rate. Method: A non-equivalent control group pretest-posttest design was used in this study, Nurses were assigned into the experimental or control groups, each consisting of 39 nurses. Data was collected between January to March 2004. An 'Assertiveness Training Program' for Nurses developed by Park was used for the study. To emphasize assertiveness practice, 5 practice sessions utilizing ABCDE principles were added to Park's program. To examine the effects of the program, differences between the two groups in assertive behaviors, interpersonal relations, communication conflicts, conflict management style and personnel turnover rate were analyzed using ANCOVA. Results: The assertiveness training was effective in improving the nurses' assertiveness behaviors, but was not effective in improving interpersonal relations, reducing the subjects' communication conflicts, changing the conflict management style or reducing their personnel turnover rate. Conclusion: There have been many studies about factors affecting nurses' personnel turnover rates, but few have been done about methods of intervention to reduce the personnel turnover rate. Thus, this study provides a significant contribution in attempting such an intervention from nursing management perspectives.

• 임상간호연구
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• 제19권2호
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• pp.255-264
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• 2013

Purpose: This study was done to examine the effects of assertiveness training on Intensive Care Unit (ICU) nurses' assertive behavior, job stress, communication conflict, and self-esteem toward improving their communication skills and coping. Methods: The assertiveness training program was developed to a 10-hour program consisting of 3 sessions. The goals were to understand assertive behavior and learn how to practice assertive communication in general conflict situations and/or a difficult conflict situation in the ICU. Participants were 65 nurses recruited from a tertiary teaching hospital and of these, 27 nurses completed the program. Data were collected from Jan. 30th to Mar. 28th, 2009 using a questionnaire which included demographic characteristics, assertive behaviour scale, job stress scale, communication conflict inventory-specific, and self-esteem scale. Data were analyzed using SPSS v. 14.0 for $x^2$ test and t-test. Results: ICU nurses in the experimental group had a significant increase in aspects of assertive behavior and a decrease in job stress. Conclusion: The results of the study indicate that assertiveness training is effective in increasing ICU nurses' assertive behavior and decreasing job stress through reinforcement of assertiveness behavior.

• 동서간호학연구지
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• 제23권2호
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• pp.115-123
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• 2017

Purpose: The purpose of this study was to determine the effects of teaching communication training using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip on communication competency and interpersonal relations of nursing students. Methods: The participants were 79 nursing students (41 in the intervention group, 38 in the control group). A nonequivalent control group design was used. The research was carried out from September 7 to November 20, 2015. Teaching communication skills using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip were provided to the intervention group 180 minutes/session once a week for 9 weeks. Data were analyzed using chi-square test, independent t-test and ANCOVA with SPSS/PC version 21.0. Results: The intervention group reported significantly higher scores of communication competency(F=8.41, p=.005) and interpersonal relations(F=8.97 p=.004) compared to those of the control group at the completion of the intervention. Conclusion: The findings of this study show that $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip is an effective communication training for improving communication competency and interpersonal relations in nursing students. A randomized clinical trial is needed to confirm the value of communication training using $Gagn{\acute{e}}^{\prime}s$ 9 events of instruction and video clip for nursing students.

• 로봇학회논문지
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• 제16권3호
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• pp.276-282
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• 2021

The system for recognizing text in natural scenes has been applied in various industries. However, due to the change in brightness that occurs in nature such as light reflection and shadow, the text recognition performance significantly decreases. To solve this problem, we propose an adversarial shadow generation and training algorithm that is robust to shadow changes. The adversarial shadow generation and training algorithm divides the entire image into a total of 9 grids, and adjusts the brightness with 4 trainable parameters for each grid. Finally, training is conducted in a adversarial relationship between the text recognition model and the shaded image generator. As the training progresses, more and more difficult shaded grid combinations occur. When training with this curriculum-learning attitude, we not only showed a performance improvement of more than 3% in the ICDAR2015 public benchmark dataset, but also confirmed that the performance improved when applied to our's android application text recognition dataset.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.161-168
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• 2024

As the size of big data models grows, distributed training is emerging as an essential element for large-scale machine learning tasks. In this paper, we propose ParamHub for distributed data training. During the training process, this agent utilizes the provided data to adjust various conditions of the model's parameters, such as the model structure, learning algorithm, hyperparameters, and bias, aiming to minimize the error between the model's predictions and the actual values. Furthermore, it operates autonomously, collecting and updating data in a distributed environment, thereby reducing the burden of load balancing that occurs in a centralized system. And Through communication between agents, resource management and learning processes can be coordinated, enabling efficient management of distributed data and resources. This approach enhances the scalability and stability of distributed machine learning systems while providing flexibility to be applied in various learning environments.

• 실천공학교육논문지
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• 제6권1호
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• pp.37-42
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• 2014

자동 시각 검사 장비는 전 세계적으로 제조업 기반의 기업들의 공장 자동화 시스템의 주요 장비로 자리 잡고 있다. 반도체, LCD, 철강, 제지 등 다양한 분야에서 품질관리의 자동화를 위하여 필수적으로 활용되고 있다. 그러나 대학, 직업전문학교 등의 교육기관에서는 이에 대한 교육이 거의 이뤄지지 못하고 있다. 본 논문에서는 자동 시각 검사 시스템의 기술훈련을 위하여 라인스캔 카메라 기반의 자동 시각 검사 장비 교육을 위한 실습 장비에 대해서 다루고 있다. 제작된 시스템은 산업현장에 널리 사용되고 있는 X-Y stage 기반으로 구성되었으며, 영상의 픽셀해상도는 $10-30{\mu}m$의 범위에서 가변적으로 조절 가능하다. 또한 조명구조에 따른 영상효과를 확인하기 위하여, 측면 직사조명과 동축조명을 장착하여 활용할 수 있도록 구성되어 있다. 이는 훈련자가 실습환경에서 다양한 조건들을 변경시키며 실습을 수행할 수 있음을 의미하며, 실제 제조 현장에서 활용되는 라인스캔 카메라 기반의 머신비전 시스템과 거의 동일한 기능을 수행하도록 제작되었다.

• International Journal of Internet, Broadcasting and Communication
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• 제7권2호
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• pp.113-116
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• 2015

Generally, in the railway vehicle the driving force of gravity happens by the high-speed running and the repetitive impulse cause the degradation and the malfunction phenomenon shows differently because the durability of each component changes according to the internal and external causes. The maintenance of propulsion control device which is played the very important role as to the stable service of the railway vehicle is greatly important among them. Therefore maintenance training propulsion control device simulator is needed to maximize learning through repetition and improve the maintenance practical skills training. This paper designed the railway vehicle running device with a miniature for the railway vehicle maintenance training and developed a propulsion control device simulator equipped the imitation steering wheel.

• International Journal of Internet, Broadcasting and Communication
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• 제12권2호
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• pp.45-50
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• 2020

A Language model with neural networks commonly trained with likelihood loss. Such that the model can learn the sequence of human text. State-of-the-art results achieved in various language generation tasks, e.g., text summarization, dialogue response generation, and text generation, by utilizing the language model's next token output probabilities. Monotonous and boring outputs are a well-known problem of this model, yet only a few solutions proposed to address this problem. Several decoding techniques proposed to suppress repetitive tokens. Unlikelihood training approached this problem by penalizing candidate tokens probabilities if the tokens already seen in previous steps. While the method successfully showed a less repetitive generated token, the method has a large memory consumption because of the training need a big vocabulary size. We effectively reduced memory footprint by encoding words as sequences of subword units. Finally, we report competitive results with token level unlikelihood training in several automatic evaluations compared to the previous work.