• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.671-686
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• 2020

Due to the long training time and high training cost of traditional surgical training methods, the emerging virtual surgical training method has gradually replaced it as the mainstream. However, the virtual surgical system suffers from poor authenticity and high computational cost problems. For overcoming the deficiency of these problems, we propose an optimized model for the local compression deformation of soft tissue. This model uses a simulated annealing algorithm to optimize the parameters of the soft tissue model to improve the authenticity of the simulation. Meanwhile, although the soft tissue deformation is divided into local deformation region and non-deformation region, our proposed model only needs to calculate and update the deformation region, which can improve the simulation real-time performance. Besides, we define a compensation strategy for the "superelastic" effect which often occurs with the mass-spring model. To verify the validity of the model, we carry out a compression simulation experiment of abdomen and human foot and compare it with other models. The experimental results indicate the proposed model is realistic and effective in soft tissue compression simulation, and it outperforms other models in accuracy and real-time performance.

• Therapeutic Science for Rehabilitation
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• v.5 no.1
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• pp.55-65
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• 2016

Objective : This study aimed to investigate the effects of home-based action observation training on upper extremity in brain tumor patient. Methods : Among the single case study design, this experiment used ABA' design. The evaluations were carried out 4 times during pre baseline period(A) and post baseline period(A') respectively. At the intervention period(B), a total of 25 times of action observation training and 10 times of evaluation were administered. Results : Study results indicate that 9-hole peg test, Box and Block Test, Manual Function Test were increased when compared to action observation intervention(B) to pre intervention baseline(A). Conclusion : Based on these results, home-based action observation training may be an effective upper extremity intervention strategy for tumor-induced hemiparetic patient.

• Journal of The Korean Society of Clinical Toxicology
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• v.15 no.1
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• pp.31-39
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• 2017

Purpose: Despite the clinical and socio-economic impact of acute poisoned patients, many of the treatments are not standardized in Korea. Moreover, no formal training that is specifically focused on clinical toxicology exists. Rather, training and education are conducted case by case in various institutions. This study was conducted to develop a standardized simulation-based clinical toxicology training curriculum for healthcare providers. This program will focus on specific assessment and treatment of critical toxicology patients, specifically those who have been poisoned with organophosphate. Methods: The study was performed using a pre- and post-design to determine the effects of implementation of this program. The study was conducted at eight different urban teaching hospitals in a simulated room in the clinical area. The study was targeted to 19 groups composed of emergency residents and nurses. Simulation-based learning was conducted for each group. Results: All 19 groups achieved the minimum passing score of 75%. Implementation of the program led to improved performance rates for overall management and cooperative moods competency (p<0.01). Inter-rater agreement between the two evaluators was excellent. In general, the participants thought the program was realistic and were able to recognize and improve the competencies needed to care for organophosphate poisoned patients. Conclusion: Simulation-based learning is an effective educational strategy that can be applied to improving and understanding proper care for rare but critical patients. This program was effective at improving team performance and cooperative moods when managing an organophosphate poisoned patient in the Emergency Department.

• The Korean Journal of Health Service Management
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• v.2 no.1
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• pp.125-136
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• 2008

Government came to enforce long-term care insurance system in preparation for the rapid aging society. Whether this system is successful or not depends on the professionalism of long-term care-givers who are professional population in charge of care service. Currently in the early stage of enforcement, such problems as a race cutting fee resulted from numerical increase of educational facilities, insolvent operation, degradation of education level resulted from unprofessional instructor, are pointed out. As a mean of manpower-training on long-term care insurance system, this study is to research public-private-university network model of the Academy of Continuing Education attached to Ko Sin University which is the case of Yong Do Gu Busan city. Networking between the vision and development strategy of Yong Do Gu on continuing education city, education system on community manpower-training supported by Ko Sin University, and service field of welfare for the elderly can not only contribute to the professionalism of long-term care-givers but also play an ideal role in manpower-utilization and arrangement of community. Through this networking, high quality of education level and circumstance, using the existing infra, manpower-training and utilization for continuing education of Yong Do Gu can be accomplished. Additionally, the connection with facilities related with welfare for the elderly can contribute to professionalism and accountability of manpower-networking.

• Journal of Practical Engineering Education
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• v.7 no.1
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• pp.17-23
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• 2015

Growing worldwide interest in software and spread awareness of the need for education. A software-driven society realization strategy will achieve mandatory training on software. This policy will be applied from middle school students in 2015. Students who are interested in computers, like many positive responses, student learning may seem hard to have a negative reaction. Thus, the present obligation as simple in practice education only and discarded before actually lost interest awarded a systematic education does not work properly, but rather that education could happen to entirely discard turn our attention. Accordingly, what you need is to have a systematic training from the basics that I need to worry about software that can recognize easy and fun. In this paper, we propose a hardware and basic software that allows you to proceed software training more easy and efficient as it can be modified and applied to the program in the production unit to learn programming tools and programming languages.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.139-148
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• 2012

An ensemble of classifiers is to employ a set of individually trained classifiers and combine their predictions. It has been found that in most cases the ensembles produce more accurate predictions than the base classifiers. Combining outputs from multiple classifiers, known as ensemble learning, is one of the standard and most important techniques for improving classification accuracy in machine learning. An ensemble of classifiers is efficient only if the individual classifiers make decisions as diverse as possible. Bagging is the most popular method of ensemble learning to generate a diverse set of classifiers. Diversity in bagging is obtained by using different training sets. The different training data subsets are randomly drawn with replacement from the entire training dataset. The random subspace method is an ensemble construction technique using different attribute subsets. In the random subspace, the training dataset is also modified as in bagging. However, this modification is performed in the feature space. Bagging and random subspace are quite well known and popular ensemble algorithms. However, few studies have dealt with the integration of bagging and random subspace using SVM Classifiers, though there is a great potential for useful applications in this area. The focus of this paper is to propose methods for improving SVM performance using hybrid ensemble strategy for bankruptcy prediction. This paper applies the proposed ensemble model to the bankruptcy prediction problem using a real data set from Korean companies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5819-5826
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• 2013

Purpose: The purpose of this study was to examine the effects of the simulation-based training for advanced cardiovascular life support on the knowledge and competence of nursing students. Method: The subjects were 22 nursing students, who ungraduated D university. Data were analyzed with SPSS/Win 18.0 program. Results: There was a significant improvement in knowledge and competence after receiving than before training. Conclusion: Simulation-based training for advanced cardiovascular life support is effective strategy for increasing the knowledge and competence of nursing students and will can provide basic data in development of standardized emergency nursing education programs. Further research is needed in the comparative analysis about various learning of advanced cardiac life support education and a longitudinal study of maintenance the knowledge and competence.

• Smart Media Journal
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• v.4 no.4
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• pp.86-92
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• 2015

Recently, it is entering the hyper connectivity age due to the development of sensor and communication technology. In particular, it is emerging new industries such as the IoT, bigdata, cloud by convergence with the ICT and other industries. Because these industries are high the gravity of the software, the demand for software manpower is increasing rapidly. But university curriculum don't deviate from the traditional curriculum, and lack of positive response to these changes is occurring a mismatch with the industry demand. In this paper, investigate a software curriculums of the four-year university, and will attempt to investigate the perception about the university software course of the corporate perspective. Also, we draw a on-site fitness of universities training course by analysis of importance on software training courses between universities and businesses. Finally, we propose a strategy model for software training course design appropriate for the field.

• STI Policy Review
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• v.8 no.2
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• pp.75-93
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• 2017

Recently, global competition in the manufacturing sector is driving firms in the manufacturing sector to conduct product innovation projects to maintain their competitive edge. The key points of product innovation projects are 1) what the purpose of the project is and 2) what expected results in the target market can be achieved by implementing the innovation. Therefore, this study focuses on the performance of innovation projects with a business viewpoint. In this respect, this study proposes the "achievement rate" of product innovation projects as a measurement of project performance. Then, this study finds the best strategies from various innovation activities to optimize the achievement rate of product innovation projects. There are three major innovation activities for the projects, including three types of R&D activities: Internal, joint and external R&D, and five types of non-R&D activities - acquisition of machines, equipment and software, purchasing external knowledge, job education and training, market research and design. This study applies decision tree modeling, a kind of data-mining methodology, to explore effective innovation activities. This study employs the data from the 'Korean Innovation Survey (KIS) 2014: Manufacturing Sector.' The KIS 2014 gathered information about innovation activities in the manufacturing sector over three years (2011-2013). This study gives some practical implication for managing the activities. First, innovation activities that increased the achievement rate of product diversification projects included a combination of market research, new product design, and job training. Second, our results show that a combination of internal R&D, job training and training, and market research increases the project achievement most for the replacement of outdated products. Third, new market creation or extension of market share indicates that launching replacement products and continuously upgrading products are most important.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.125-144
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• 2019

The purpose of this research is to provide implication for the preparation of the specific and practical strategy through an analysis of whether commitment to career choice (vocational exploration commitment and tendency to foreclose) acts as a mediating effect between self-determination (autonomy, competence, and relatedness) and career preparation behavior. Data was collected from 258 students at a vocational training school in Seoul, and was analyzed hierarchical regression analysis. The result shows that commitment to career choice has partial mediating effect on the relationship between self-determination and career preparation behavior. Secondly, self-determination effects on career preparation behavior and among them, the effect of relatedness is predominant. The result of this study suggest practical insights about how a vocational training school can motivate students to participate in self-determination and commitment to career choice for improved educational environment with related career preparation programs.