• 보건의료산업학회지
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• 제9권3호
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• pp.127-143
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• 2015

Objectives : This study is a quasi-experiment with a pre-post design and a nonequivalent control group performed from May 1 to June 2, 2013 to verify the effects of a simulation based education program on nursing students' self-confidence, and clinical performance ability. Methods : The subjects of the study were a total of 60 students in their fourth year of a nursing program at a university located in G city and they were assigned to an experimental group of 30 students and a control group of 30 students by convenience sampling. Results : After being offered education, self-confidence, and clinical performance ability were significantly more improved than before in each group. In the comparison of the two groups, the self-confidence (t=3.00, p=.004) and clinical performance ability(t=3.14, p=.003) of the experiment group were significantly higher than those of the control group. Conclusions : The results indicated that instructional methods using a simulation-based emergency care program should be adopted maximize the effects of advanced cardiopulmonary life support education.

• 대한간호학회지
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• 제45권6호
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• pp.928-938
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• 2015

Purpose: This study explored the effects of neurofeedback training on Electroencephalogram (EEG), Continuous Performance Task (CPT) and ADHD symptoms in ADHD prone college students. Methods: Two hundred forty seven college students completed Korean Version of Conners' Adult ADHD Rating Scales (CAARS-K) and Korean Version of Beck Depression Inventory (K-BDI). The 16 participants who ranked in the top 25% of CAARS-K score and had 16 less of K-BDI score participated in this study. Among them, 8 participants who are fit for the research schedule were assigned to neurofeedback training group and 8 not fit for the research schedule to the control group. All participants completed Adult Attention Deficiency Questionnaire, CPT and EEG measurement at pretest. The neurofeedback group received 15 neurofeedback training sessions (5 weeks, 3 sessions per week). The control group did not receive any treatment. Four weeks after completion of the program, all participants completed CAARS-K, Adult Attention Deficiency Questionnaire, CPT and EEG measurement for post-test. Results: The neurofeedback group showed more significant improvement in EEG, CPT performance and ADHD symptoms than the control group. The improvements were maintained at follow up. Conclusion: Neurofeedback training adjusted abnormal EEG and was effective in improving objective and subjective ADHD symptoms in ADHD prone college students.

• 한국유기농업학회지
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• 제13권2호
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• pp.185-195
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• 2005

Two hundred [(Duroc${\times}$Yorkshire)${\times}$Landrace] pigs were used in a 117-d growth assay (including four growth stages) to determine the effects of dietary supplementation of Lactobacillus reuteri on performance of swine, fecal and rectumal microflora and carcass grade. Pig diet was divided tow types, commercial diet (Control group) and supplemention of 0.1% Lactobacillus reuteri (Treatmental group). There was tend to increased in average daily gain (ADG) and feed efficiency (Feed/gain) in treatmental group than control group during the whole experimental period. The number of Lactobacilius spp. into rectum and feaces and carcass rate tended to increase in treatmental group than control group. Ammonia emission from excreta were decrease by supplemention of 0.1% Lactobacillus reuteri in feed (P<0.05). These results indicated that the dietary Lactobacillus reuteri were effective in performance, increasing of Lactobacilius spp. into rectum and feaces, decreasing ammonia emission from excreta, and it had also effective the carcass rate in swine.

• 한국경영과학회지
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• 제32권1호
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• pp.61-75
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• 2007

The purpose of this paper is to develop a new group classification method based on genetic algorithm and to com-pare its prediction performance with those of existing methods in the area of bond rating. To serve this purpose, we conduct various experiments with pilot and general models. Specifically, we first conduct experiments employing two pilot models : the one searching for the cluster center of each group and the other one searching for both the cluster center and the attribute weights in order to maximize classification accuracy. The results from the pilot experiments show that the performance of the latter in terms of classification accuracy ratio is higher than that of the former which provides the rationale of searching for both the cluster center of each group and the attribute weights to improve classification accuracy. With this lesson in mind, we design two generalized models employing genetic algorithm : the one is to maximize the classification accuracy and the other one is to minimize the total misclassification cost. We compare the performance of these two models with those of existing statistical and artificial intelligent models such as MDA, ANN, and Decision Tree, and conclude that the genetic algorithm-based group classification method that we propose in this paper significantly outperforms the other methods in respect of classification accuracy ratio as well as misclassification cost.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.89-96
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• 2015

The various services applied internet have been provided by the rapid development of wireless networks and providing multimedia contents are also increasing. It is caused a number of problems such as increasing of network traffic rapidly. P2P technique is gaining popularity for solving these problems. In particular, P2P technique in a wireless network environment has gained much popularity. Among them, MANET-based P2P techniques has been studied actively. It is not easy to be applied the existing technique as it is due to the dynamic topology and low bandwidth by moving nodes in MANET that is consisted of only mobile nodes. In this paper, we proposed sharing group construction technique for providing a stable connection between mobile nodes and reducing the load of network traffic and overhead of sharing group reconfiguration in order to improve data transmission performance between mobile nodes. The sharing group member nodes applied virtual sharing group generation technique with neighboring nodes of 1-hop distance in order to reduce traffic for file sharing. We performed comparative experiments with DHT technique to evaluate the performance of the proposed technique in this paper and the excellent performance is confirmed through experiments.

• 중환자간호학회지
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• 제6권2호
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• pp.24-36
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• 2013

Propose: This study was to investigate the educational effect and retention of repeated simulation-based basic life support (BLS) training for nursing students. Methods: A comparison group design with pretest and posttest was used. A total of 35 nursing students (18 for the experimental group, 17 for the control group) participated in the study. A repeated simulationbased BLS training program which include a lecture, skills training, and two repeated sessions of simulation practice and debriefing was provided twice for experimental group. Knowledge, self-efficacy, and skill performance of cardiopulmonary resuscitation (CPR) were measured three times: at baseline, week 2, and week 6. Descriptive analysis, repeated measures ANOVA, and t-test were used for data analyses. Results: Knowledge, self-efficacy and skill performance of CPR were not significantly changed by group assignment, by the time, and interaction of group by time. Effectiveness of intervention was not maintained until Week 6. Conclusion: The results suggest that the timing of repeat education, total training time, and students' mastery of CPR performance should be considered when developing simulation-based programs to improve and maintain students' CPR knowledge, self-efficacy, and skill performance.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.148-152
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• 2022

The purpose of this study was to investigate whether there is a difference in self-reflection and insight according to the performance level of college athletes. A total of 395 (210 male, 185 female) college athletes from 6 universities were sampled. The level of performance was divided into upper, middle, and lower groups based on the results of matches played in the past 1 year. To measure self-reflection and insight, THE SELF-REFLECTION AND INSIGHT SCALE developed by Grant et al. [4] was used. As a result, there was a statistically significant difference according to the level of performance, and as a result of post-hoc(scheffe) analysis, the upper group of performance was higher than that of the middle group and the lower group.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.37-39
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• 2004

This study investigates the characteristic analysis of Line-start Permanent Magnet Synchronous Motor considering PWM Inverter. The effects of the PWM inverter on machine characteristic are analyzed by using direct co-simulation of Matlab Simulink and Flux2D. Validity of analysis method is confirmed by the analysis result of Sin-wave power Model.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.980-981
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• 2008

Mechanical spring and hydraulic pressure operated mechanisms are applied in most of today's High Voltage Gas Insulated Switchgear(GIS)s. This paper proposes a new type of operation mechanism for GIS circuit breakers rated at 245kV and 40kA. The Motor-Direct-Drive-Mechanism (MDDM) has many advantages compared to conventional operating mechanisms. It has a very simple structure with only one moving part, low mechanical stress and audible noise. It also allows monitoring, operation speed control and self-diagnosis functions.

• 경영과학
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• 제26권2호
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• pp.19-35
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• 2009

This paper investigated performance of the Markowitz's portfolio selection model with applications to Korean stock market. We chose Samsung-Group-Funds and KOSPI index for performance comparison with the Markowitz's portfolio selection model. For the most recent one and a half year period between March 2007 and September 2008, KOSPI index almost remained the same with only 0.1% change, Samsung-Group-Funds showed 20.54% return, and Markowitz's model, which is composed of the same 17 Samsung group stocks, achieved 52% return. We performed sensitivity analysis on the duration of financial data and the frequency of portfolio change in order to maximize the return of portfolio. In conclusion, according to our empirical research results with Samsung-Group-Funds, investment by Markowitz's model, which periodically changes portfolio by using nonlinear programming with only financial data, outperformed investment by the fund managers who possess rich experiences on stock trading and actively change portfolio by the minute-by-minute market news and business information.