• 한국간호교육학회지
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• 제30권1호
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• pp.5-18
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• 2024

Purpose: This study aimed to identify whether there is a difference between an online-based community psychiatric nursing practice program with the ARCS model and a conventional community psychiatric nursing practice program in promoting nursing students' learning motivation, knowledge of community psychiatric nursing, communication skills, and learning self-efficacy. Methods: This study used a quasi-experimental design with a non-equivalent control group. The participants were 44 nursing students at three nursing colleges in Gyeongsangbuk-do. The experimental group was provided the online-based community psychiatric nursing practice program with ARCS model, while the control group was provided the conventional community psychiatric nursing practice program from July 9, to September 3, 2022. Both groups received practice training 8 hours a day, 5 days two weeks. The collected data were analyzed using the exact χ², Mann-Whitney U-test, and Quade's two-way ANCOVA with the IBM SPSS Statistics 28.0 program. Results: The results of the comparison of an experimental group training with the online-based community psychiatric nursing practice program with ARCS model and a control group training with the conventional community psychiatric nursing practice program showed that, there was no statistically significant difference between the two groups in learning motivation knowledge of community psychiatric nursing, and learning self-efficacy. However, communication skills were statistically significantly higher in the experimental group (F=6.23, p=.017). Conclusion: The online-based community psychiatric nursing practice program with ARCS model can be used as a substitute learning to improve community psychiatric nursing capabilities in situations when clinical practice is suspended due to infectious diseases such as coronavirus disease 2019 or when is a shortage of community psychiatric nursing practice institutions.

• International Journal of Control, Automation, and Systems
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• 제4권1호
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• pp.17-29
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• 2006

A novel inverse kinematics solution based on the back propagation neural network (NN) for redundant manipulators is developed for online obstacles avoidance. A laser transducer at the end-effctor is used for online planning the trajectory. Since the inverse kinematics in the present problem has infinite number of joint angle vectors, a fuzzy reasoning system is designed to generate an approximate value for that vector. This vector is fed into the NN as a hint input vector rather than as a training vector to guide the output of the NN. Simulations are implemented on both three- and four-link redundant planar manipulators to show the effectiveness of the proposed position control system.

• 한국융합학회논문지
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• 제11권10호
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• pp.31-36
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• 2020

공학 교육의 수행 방법 중 하나인 가상 시뮬레이션 교육이 확산되고 있는 상황에서, 일반적인 온라인 교육은 이론적인 학습 위주의 수업, 간단한 소형 프로젝트의 실습만이 원격으로 이루어지고 있는 실정으로, 다양한 교육용 콘텐츠의 보급이 필요하다. 최근 스마트 팩토리의 확산으로 대부분의 생산 기업들은 자동제어를 이용하여 제품의 생산, 검수, 포장을 하고 있다. 자동화 설비의 동작은 전기를 이용하여 제어하고 있는 상황으로, 전기와 관련된 학습이 다양한 학과에서 운영되고 있으나, 전기의 특성상 안전상의 문제 및 실습 기자재의 고비용으로 온라인 학습이 어려운 상황이다. 본 논문에서는 전기 실습과 관련된 교육의 성취감을 향상시키기 위하여 시뮬레이션 기반의 전기 제어 패널 원격 교육 모델을 제안한다. 제안 모델의 실험을 통하여 학습자들은 기존 기자재의 사용에 의한 온라인 교육보다, 가상 시뮬레이션 교육의 만족도가 상승한 것을 확인하였으며, 향후 자동화 설비 교육의 기초 과정으로 활용될 수 있을 것이다.

• 지역사회간호학회지
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• 제27권4호
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• pp.410-422
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• 2016

Purpose: This study evaluated the effects of a cultural competence training program for public health nurses (PHNs) using intervention mapping. Methods: An embedded mixed method design was used. Forty-one PHNs (experimental: 21, control: 20) and forty marriage migrant women (MMW) (20, in each group) who were provided nursing care by PHN participated in the study. The experimental group was provided with a four-week cultural competence program consisting of an eight hour offline and online course, e-mail newsletters and social networking services (BAND). Transcultural Self-efficacy (TSE) of the PHNs, client-nurse trust, and satisfaction with nursing care of MMW were measured. Ten PHNs in the experimental group were interviewed after the experimental study. Results: The experimental group showed a significantly greater improvement in TSE, client-nurse trust, and satisfaction with nursing care than did the control group. Six themes emerged from qualitative data: (a) Recognizing cultural differences, (b) Being interested in the multicultural policy, (c) Trying to communicate in MMW's own language, (d) Providing medical information using internet and smart phone, (e) Embracing culturally diverse people into society, and (f) Requiring ongoing cultural competence training. Conclusion: Cultural competence training enabled PHNs to provide culturally competent care and contribute to MMW's health outcomes.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.171-180
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• 2022

In the knowledge development of online assessment in learning management systems (LMSs), many assessments are evaluated weekly in the summer training course for undergraduate students in the Faculty of Computing and Information Technology at King Abdul-Aziz University in Saudi Arabia. The number of performance assessments in the summer training course reaches 15 weeks. Many of them, however, are sent or done informally or through unreliable ways and cannot be verified by third parties. Therefore, applying the concept of digital transformation is essential. This research study reported herein used the action design research (ADR) method to build a new information technology system that could assist in the digital transformation. An electronic platform was designed, developed, implemented, and evaluated using the ADR method so that the main people involved in the summer training process (i.e., students, academic supervisors, and administrators) would have a high level of satisfaction with it. The study was conducted on 452 students, 105 academic supervisors, and 15 administrative staff and was conducted during the summer semester of 2020. All the training processes were digitally transformed and automated to control and raise the level and reliability of the training. All involved people were satisfied, thus, shifting the process to be in a digital form assist in achieving the high-level goal.

• Journal of Electrical Engineering and Technology
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• 제13권6호
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• pp.2468-2478
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• 2018

We propose the Sparse Feature Convolutional Neural Network (SFCNN) to reduce the volume of convolutional neural networks (CNNs). Despite the superior classification performance of CNNs, their enormous network volume requires high computational cost and long processing time, making real-time applications such as online-training difficult. We propose an advanced network that reduces the volume of conventional CNNs by producing a region-based sparse feature map. To produce the sparse feature map, two complementary region-based value extraction methods, cluster max extraction and local value extraction, are proposed. Cluster max is selected as the main function based on experimental results. To evaluate SFCNN, we conduct an experiment with two conventional CNNs. The network trains 59 times faster and tests 81 times faster than the VGG network, with a 1.2% loss of accuracy in multi-class classification using the Caltech101 dataset. In vehicle classification using the GTI Vehicle Image Database, the network trains 88 times faster and tests 94 times faster than the conventional CNNs, with a 0.1% loss of accuracy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2149-2151
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• 2002

In this paper, a novel speed estimation method of an induction motor using neural networks(NNs) is presented. The NN speed estimator is trained online by using the error backpropagation algorithm, and the training starts simultaneously with the induction motor working. The neural network based vector controller has the advantage of robustness against machine parameter variation. The simulation results using Matlab/Simulink verify the useful of the proposed method.

• 한국항해항만학회지
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• 제31권7호
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• pp.563-568
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• 2007

In this paper, an adaptive neural network controller and its application to automatic berthing control of ship is presented. The neural network controller is trained online using adaptive interaction technique without any teaching data and off-line training phase. Firstly, the neural networks used to control rudder and propeller during automatic berthing process are presented. Secondly, computer simulations of automatic ship berthing are carried out in Pusan bay to verify the proposed controller under the influence of wind disturbance and measurement noise. The results of simulation show good performance of the developed berthing control system.

• 한국콘텐츠학회논문지
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• 제22권2호
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• pp.370-378
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• 2022

본 연구의 목적은 제주 치위생과 학생을 대상으로 COVID-19 상황에 임상 실습 수행 중 감염관리에 영향을 미치는 요인을 분석하는 데 있다. 112명의 온라인 자기 기입식 설문 응답을 SPSS 20.0을 이용하여 빈도분석, T-test, one-way ANOVA와 더미 회귀분석을 하였다. 감염관리 인식도와 실천도는 2학년이 3학년보다 '청소 및 표면 소독', '의료폐기물 처리', 'COVID-19 감염관리' 항목에서 통계적으로 유의하게 높았다. 임상실습기관별 결과는 '청소 및 표면 소독', '기구 소독 및 멸균', '개인 및 환자 방호', 'COVID-19 감염관리' 항목에서 대형병원이 통계적으로 유의하게 높았다. 임상실습 지역은 의료폐기물 처리' 항목에서만 수도권이 제주지역보다 높았다. COVID-19 감염관리 요인 분석 결과, 3학년보다 2학년, 실습 기관 중 대형병원, 실습 지역 중 수도권 지역, 보호장구 애로사항이 없던 학생이 통계적으로 높은 영향을 미치는 것으로 나타났다. 본 연구는 제주지역 치위생과 학생들의 임상 실습시의 감염관리와 COVID-19의 현장을 대상으로 한 첫 번째 실태 조사 연구로 의의를 두며, 임상 실습 지침 개선을 위한 연구가 지속되어야 할 것이다.

• 한국컴퓨터정보학회논문지
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• 제23권8호
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• pp.143-149
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• 2018

Recently, President Donald Trump signed FOSTA (Fight Online Sex Trafficking Act) in April 11, 2018, which makes online service no more immune from civil liability for the action of third party facilitating sex trafficking content. Although it is also important to enhance security regulations and cognition on law, but it will be economically more effective to put more energy on preventing recidivism. For John School in Korea, it should increase implementation rate by putting core manpower and budget for preventing needs of sex purchase and then, check operation method and efficacy to improve the actual program. One way is first, empirical analysis and data is required on efficacy of John School program. Second, should have clear definition in Special Sex Trade Law. Third, more strick regulation for selecting participant is required. Fourth, more manpower and budget is required. Fifth, charging the participant for educational fee shall be reviewed. Sixth, educational program should be reviewed. The most important point of education is to make those criminals feel guilty about financially purchasing the sex, basically making them to recognize that it is ethically wrong. However, the current education system contains no clear explanation about the ethical issue of such problem but focusing more on other factors such as sexual disease and structural problem of sexual business. Therefore, this failed to deliver the right psychological training to those criminals without any ethical control. Knowing why women feel hurt when having unwanted sexual relationship by being paid is required part in terms of education for preventing sex trafficking.