• The Korean Journal of Emergency Medical Services
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• v.9 no.2
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• pp.169-180
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• 2005

The purpose of this research was to evaluate retention of cognitive knowledge, psychomotor skills and self-confidence on CPR 3 months after CPR training program. The sample consisted of 39 nursing students. We provided one rescuer CPR training program for nursing college students on the basis of AHA. The questionnaires for knowledge of CPR were developed 50 items based on AHA guidelines. Self-confidence were checked by 11 items questionnaires. The accuracy of CPR skills were checked by Skillreporter CPR training manikin and by researcher's evaluation based on CPR skill checklist. The results were as follows ; 1. The majority of participants didn't have any previously experiences of CPR training (76.9%). Only 15.1% previously took the CPR training with CPR practice. 2. In terms of self-confidence of CPR. The score were increased for 2 days (p>.001) but retention of self confidence was significantly statistical decreased in 3 months after training (p<.001). 3. There was a statistically significant decrement in mean of knowledge of CPR between 2 days and 3 months after CPR training (p<.001). 4. There was a statistically significant decrement in cognitive knowledge of CPR based on CPR skills checklist(p<.001). 5. Retention scores of psychomotor skills of CPR 3 months after training were 42.10% in numbers of adequate ventilation, 52.81% in numbers of adequate chest compression (p<.001) respectively. 6. Retention of passing rate on chest compressions of CPR 3 months after training was 27% (p<.001), on ventilation was 2.63% (p>.001). The error items with statistically significant differences 3 months after CPR training were too little ventilation (74.36%) and too little chest compressions (92.31%). The results of the study suggest that we need further evaluation of course components which could improve retention of CPR for all trainees.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.3
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• pp.292-305
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• 2013

This study reported present state of clothing technical designers' work duties and working conditions, so as to suggest effective ways to develop professional training methods for them. Technical designers working for vendors and agents were surveyed as they represent the majority of technical designers in Korean clothing industries. Survey participants were 62 technical designers working for 6 clothing vendors and 2 clothing agents, and the survey closely inspected their work qualifications, duties and responsibilities, working conditions and training conditions. Survey was conducted from June $27^{th}$ to July $17^{th}$, 2012. The questionnaire examined frequency analysis and multiple response analysis using SPSS 19.0 Windows after investigating documents and work fields through personal experiences and interviews from technical designers for data collection and analysis. A chi-square test analyzed the preferred type of fitting for technical designers of vendors and agents. The results showed that 32.3% of those surveyed have more than 7 years of work experience and the highest level of education is predominantly a bachelor's degree (57 people, 91.9%). Among the work responsibilities, respondents did sample measuring more than four times a day. Also, the results showed that technical designers needed to qualify: first 'Fitting Technic', second 'Pattern Correction Capability', and third 'English Skills to Communicate with Buyers'; subsequently, education on several technics (such as measuring, grading, and fitting) were required for the job. Current technical designers answered that they need more various work-related education. However, the analyzed results showed that pre work-related training was insufficient. The data shows that technical designers require re-education in 'Pattern Correction Method' (61.3%) and 'Sewing Education' (64.5%).

• Journal of KIISE:Software and Applications
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• v.31 no.12
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• pp.1684-1690
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• 2004

This paper presents a method for classifier selection that uses distribution information of the training samples in a small region surrounding a sample. The conventional DCS-LA(Dynamic Classifier Selection - Local Accuracy) selects a classifier dynamically by comparing the local accuracy of each classifier at the test time, which inevitably requires long classification time. On the other hand, in the proposed approach, the best classifier in a local region is stored in the FSA(Feature Space Attribute) table during the training time, and the test is done by just referring to the table. Therefore, this approach enables fast classification because classification is not needed during test. Two feature space attributes are used entropy and density of k training samples around each sample. Each sample in the feature space is mapped into a point in the attribute space made by two attributes. The attribute space is divided into regular rectangular cells in which the local accuracy of each classifier is appended. The cells with associated local accuracy comprise the FSA table. During test, when a test sample is applied, the cell to which the test sample belongs is determined first by calculating the two attributes, and then, the most accurate classifier is chosen from the FSA table. To show the effectiveness of the proposed algorithm, it is compared with the conventional DCS -LA using the Elena database. The experiments show that the accuracy of the proposed algorithm is almost same as DCS-LA, but the classification time is about four times faster than that.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.11-18
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• 2012

Debris flow deposition model is a model to predict affected areas by debris flow and random walk model (RWM) was used to build the model. Although the model was proved to be effective in the prediction of affected areas, the model has several free parameters decided experimentally. There are several well-known methods to estimate parameters, however, they cannot be applied directly to the debris flow problem due to the small size of training data. In this paper, a modified neural network, called pseudo sample neural network (PSNN), was proposed to overcome the sample size problem. In the training phase, PSNN uses pseudo samples, which are generated using the existing samples. The pseudo samples smooth the solution space and reduce the probability of falling into a local optimum. As a result, PSNN can estimate parameter more robustly than traditional neural networks do. All of these can be proved through the experiments using artificial and real data sets.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.577-582
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• 2020

The performance of a teacher has an important role in the success of education in general. This study aims to determine the factors that affect the decline in teacher performance in one of the junior secondary schools in Indonesia. Based on the literature review, four exogenous variables were identified, namely, training, utilization of information technology, intellectual intelligence, and emotional intelligence. This study uses primary data, collected from a questionnaire distributed to respondents. The questionnaire items are measured using a Likert scale. The sample in this study were all teachers at MTS Darul Falah Sirahan, totaling 32 people. The analysis technique used in testing the hypothesis of this study is multiple regression analysis. Statistical product and service solutions are used as analysis tools. The results of this study indicate that only the variable 'utilization of information technology' has a positive and significant effect. However, the variables 'training,' 'intellectual intelligence,' and 'emotional intelligence' did not have a significant effect. This finding contradicts the literature in general. Therefore, this study recommends improving training methods, both those carried out internally by schools and by related agencies, and schools still need to optimize guidance and potential for teacher's intelligence in improving performance.

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.1
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• pp.35-42
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• 1999

This paper describes the development of an interactive computer graphic software for the education and training of the power system fault analysis. The developed software is designed to increase the understanding of the fault analysis with ease and it is composed of the windows, graphic icons, and graphic representations for user-friendly environments. Specially an interactive scheme is given for user to simulate the fault analysis under the variety conditions. With this function, user can acquire the basic concepts of the power system fault study as well as the understanding of the impacts on the system by some faults. The proposed software is tested on a 16-bus sample system. The software will be useful for the education and training and training of the power system fault analysis.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.2
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• pp.222-228
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• 2010

Purpose: This study was done to examine the effects and retention of the American Heart Association (AHA)'s basic cardiac life support (BLS) training on knowledge and skills of nursing college students. Method: The study was a one group pretest-posttest experimental design. The sample included 41 junior nursing students from D college who participated in an AHA BLS course for healthcare providers in K hospital from January 18 to June 7, 2010. The instruction was based on ‘BLS knowledge and skills'. The data were analyzed with paired t-test using the SPSS/PC 12.0 win. Result: First, knowledge (t=-7.648, p=.000) and skills (t=-12.988, p=.000) were significantly increased immediately after BLS training. Second, knowledge (t=4.098, p=.000) and skills (t=50.350, p=.000) of BLS after 4 months was significantly decreased compared to right after BLS training. Conclusion: Knowledge and skills were decreased 4 months after BLS training. Therefore, retraining in BLS is required within 4 months. To maintain the knowledge and skills of BLS, appropriate renewal time and retraining programs are needed.

• The Journal of Economics, Marketing and Management
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• v.11 no.3
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• pp.11-23
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• 2023

Purpose: This study empirically studied the effects of the perceived value of education and training on SME cooperative on job performance. Research design, data and methodology: From November 7 to 9, 2022, a survey was conducted targeting members and executives of SME cooperatives in their 20s and 60s across the country, and a total of 217 people were used for the final analysis. Verification of the research model was performed using SPSS & AMOS. Frequency analysis was conducted to examine the sample characteristics. Results: First, perceived value (functional value, service performance value, emotional value, convenience value) did not have a significant effect on organizational commitment. Second, perceived value (functional value, service performance value, emotional value, convenience value) were found to have a significant positive (+) effect on job satisfaction. Third, job satisfaction was found to have a significant positive (+) effect on organizational commitment. Fourth, organizational commitment was found to have a significant positive (+) effect on job performance. Fifth, job satisfaction was found to have a significant positive (+) effect on job performance. Conclusions: These results suggest that the perceived value of SME cooperative education and training can affect organizational commitment and job performance through job satisfaction, so it is necessary to strengthen online education and training to meet the emotional response of training subjects along.

• Physical Therapy Korea
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• v.21 no.1
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• pp.13-19
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• 2014

The purpose of this study was to determine the effect of gait initiation training on gait and center of pressure (CoP) during gait initiation in stroke patients. Twenty-three subjects were randomly assigned to either an experimental group (EG) or a control group (CG). The EG received gait initiation training with increased CoP posterior distances the maximum the rear on gait training. The CG received general gait training. Both groups received training three times a week over a period of four consecutive weeks. The figures for CoP distances the maximum the rear, CoP distances time the mover the maximum the rear, the Tinetti Performance-Oriented Mobility Assessment (POMA), and gait velocity were recorded both before and after the training sessions for both groups. The EG's results for CoP distances the maximum the rear, CoP distances time the mover the maximum the rear, and POMA improved after training (p<.05). In terms of the rate of change of CoP distances the maximum the rear, the EG demonstrated a significantly higher increase (p<.05) than did the CG. The results of this study suggest that increased CoP distances the maximum the rear affect the gait initiation and gait performance of stroke patients. Further studies with a larger sample size are necessary to verify the accuracy of the results of this study.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.123-131
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• 2017

The purpose of this study was to investigate the effect of bodyblade training on pain and trunk muscle activity in patients with chronic low back pain. A sample of 30 subjects were recruited for this study. Bodyblade training group(n=10) was performed bodyblade training three times a week for six weeks, lumbar stabilization training group(n=10) was performed lumbar stabilization training three times a week for six weeks, and control group(n=10) wasn't performed any other training. For evaluation of trunk muscle activity, surface EMG was used and for evaluation of pain, VAS was measured. The results were as follows: trunk muscle activity, there was significant difference according to the measurement, pain, there was significant difference according to the measurement. From the results, bodyblade training is expected to be an effective intervention for patients with chronic back pain.