• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.1
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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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• v.4 no.1
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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.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.31-36
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• 2020

Virtual simulation education, which is one of the methods of executing engineering education, is spreading. In general online education, only theoretical learning-centered lessons and practical training of simple small projects are conducted remotely, and it is necessary to disseminate various educational contents. Due to the spread of smart factories these days, most producers use automatic control to produce, inspect and package their products. The operation of automation equipment is controlled by using electricity, and electricity-related learning is operated in various departments. Due to the characteristics of electricity, it is difficult to learn online due to safety issues and high cost of practical equipment. In this paper, we provide a simulation-based electrical control panel distance learning model to improve the sense of accomplishment of education related to electrical training. Through the experiment of the proposed model, it was confirmed that the learning was more satisfied with the virtual simulation education than the online education using the existing equipment. It is expected that it can be used as a basic course for automation equipment education in the future.

• Research in Community and Public Health Nursing
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• v.27 no.4
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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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• v.22 no.7
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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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• v.13 no.6
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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.

• Proceedings of the KIEE Conference
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• 2002.07d
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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.

• Journal of Navigation and Port Research
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• v.31 no.7
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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.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.370-378
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• 2022

The purpose of this study was to investigate the factors affecting infection control practice by dental hygienist students in Jeju during clinical training amidst the COVID-19 pandemic. Online survey was conducted on 112 students and the results were statistically analyzed with frequency analysis, Student's T-test, one-way ANOVA, and regression analysis using SPSS 20.0. In the 'awareness and practice of infection control by year in college' section, 2nd year students scored significantly higher in 'cleaning and surface disinfection,' 'medical waste disposal,' and 'COVID-19 preventive measure' compared to 3rd year students. In the 'type of training institution' section, hospital setting scored significantly higher in 'cleaning and surface disinfection,' 'instrument disinfection and sterilization,' 'personal and patient protection,' and 'COVID-19 preventive measure' compared to dental clinic setting. In the 'location of institution' section, Seoul metropolitan region scored higher in 'medical waste disposal' compared to Jeju region. According to regression analysis, year in college (2nd year), type of training institution (hospital setting), location of training institution (Seoul metropolitan region), and difficulty using protective gear (no difficulty) were associated with better COVID-19 preventive measure This first study in Jeju provides an insight on the awareness and practice of infection control measures by dental hygienist students in Jeju during clinical training. Further investigation for improvement of clinical training manual is warranted.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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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.