• Journal of Mechanical Science and Technology
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• v.15 no.5
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• pp.580-591
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• 2001

This paper proposes a fuzzy-sliding mode control which is designed by a self tuning fuzzy inference method based on a genetic algorithm. Using the method, the number of inference rules and the shape of the membership functions of the proposed fuzzy-sliding mode control are optimized without the aid of an expert in robotics. The fuzzy outputs of the consequent part are updated by the gradient descent method. It is further guaranteed that the selected solution becomes the global optimal solution by optimizing Akaikes information criterion expressing the quality of the inference rules. In order to evaluate the learning performance of the proposed fuzzy-sliding mode control based on a genetic algorithm, a trajectory tracking simulation of the polishing robot is carried out. Simulation results show that the optimal fuzzy inference rules are automatically selected by the genetic algorithm and the trajectory control result is similar to the result of the fuzzy-sliding mode control which is selected through trial error by an expert. Therefore, a designer who does not have expert knowledge of robot systems can design the fuzzy-sliding mode controller using the proposed self tuning fuzzy inference method based on the genetic algorithm.

• Journal of Korean Academy of Nursing
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• v.41 no.4
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• pp.433-443
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• 2011

Purpose: Clinical training for nursing students is limited to rudimentary skills to avoid potential risks. Simulation-Based Training (SBT) can overcome the shortcomings of clinical training. We evaluated the educational effect of SBT for obstetrical nursing students using high-fidelity simulation courses. Methods: We developed a simulation program for obstetrical nursing students to practice nursing skills that are necessary to provide quality care. The program consisted of four sessions. 1st: An orientation and a preliminary test. 2nd: Learning core skills required in obstetrical nursing. 3rd: Testing each student with scenario. 4th: Providing a debriefing session. At the beginning of the program, students were surveyed about their self-confidence in obstetrical nursing care, and at the end of the program, they were surveyed about the adequacy of SBT as well as self-confidence. Results: Students' self-confidence showed a significant difference before and after simulation. Mean adequacy of SBT was $7.15{\pm}1.35$ (out of 10). Most students became more interested in Women's Health Nursing after SBT. Conclusion: The results from evaluating the effects of simulation-based obstetrical nursing training show that SBT provides invaluable clinical experience for obstetrical nursing students by overcoming the lack of actual clinical involvement in clinical training programs.

• Women's Health Nursing
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• v.18 no.3
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• pp.180-189
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• 2012

Purpose: The purpose of this study was to evaluate the effects of clinical practice and simulation-based practice for obstetrical nursing in terms of self-efficacy, practice satisfaction, and practice stress. Methods: A non-equivalent control group post test design was used. The participants were 171 junior nursing students, 103 in the experimental group, and 68 in the control group. Simulation-based practice consisted of nursing assessment during labor, nursing assessment and intervention for normal and high risk mother, nursing education for mother and family during labor, and open lab. The experimental group participated in simulation-based practice for two days and the control group participated in clinical practice at delivery room for two weeks. Results: The experimental group showed higher level of self-efficacy (p= .043), practice satisfaction (p<.001) and practice stress (p=.003) compared to the control group. Conclusion: Simulation-based practice is an effective learning method for obstetrical nursing and can be used as the alternative for clinical practice. However, stress management strategies are needed for simulation-based practice.

• Journal of KIISE:Software and Applications
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• v.33 no.4
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• pp.440-448
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• 2006

Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM has been applied in the study of complex problems such as vector quantization, combinatorial optimization, and pattern recognition. This paper proposes a new usage of SOM as a tool for schema transformation hoping to achieve more efficient genetic process. Every offspring is transformed into an isomorphic neural network with more desirable shape for genetic search. This helps genes with strong epistasis to stay close together in the chromosome. Experimental results showed considerable improvement over previous results.

• Nuclear Engineering and Technology
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• v.52 no.6
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• pp.1188-1200
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• 2020

In this paper, we consider a SDMS (Self-Diagnostic Monitoring System) for a reciprocating pump for the purpose of not only diagnosis but also prognosis. We have replaced a multi class estimator that selects only the most probable one with a multi label estimator such that we are able to see the state of each of the components. We have introduced a measure called certainty so that we are able to represent the symptom and its state. We have built a flow loop for a reciprocating pump system and presented some results. With these changes, we are not only able to detect both the dominant symptom as well as others but also to monitor how the degree of severity of each component changes. About the dominant ones, we found that the overall recognition rate of our algorithm is about 99.7% which is slightly better than that of the former SDMS. Also, we are able to see the trend and to make a base to find prognostics to estimate the remaining useful life. With this we hope that we have gone one step closer to the final goal of prognosis of SDMS.

• The Journal of Korean Association of Computer Education
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• v.5 no.4
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• pp.19-29
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• 2002

This study focuses on applying the peer tutoring as an alternative instructional method in computer education. The purpose of this study is two folds: first, to examine the effect of peer tutoring on academic achievement; and second, to investigate the effect of peer tutoring on self-efficacy on learning about computer. To achieve the purpose, an experimental research was performed with 130 10th graders. The results showed no significant differences between the two groups on academic achievement, and among four groups of peer tutoring. However, there are significant differences on learners' self-efficacy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.536-544
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• 2017

Wireless RSSI (Received Signal Strength Indication) fingerprinting is one of the most popular methods for indoor positioning as it provides reasonable accuracy while being able to exploit existing wireless infrastructure. However, the process of radio map construction (aka fingerprint calibration) is laborious and time consuming as precise physical coordinates and wireless signals have to be measured at multiple locations of target environment. This paper proposes a method to build the map from a combination of RSSIs without location information collected in a crowdsourcing fashion, and a handful of labeled RSSIs using a semi-supervised self organizing map learning algorithm. Experiment on simulated data shows promising results as the method is able to recover the full map effectively with only 1% RSSI samples from the fingerprint database.

• Proceedings of the KIEE Conference
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• 1999.07f
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• pp.2610-2612
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• 1999

In controlling vector of induction motor, PID controller is required much time as the expert should control manually a gain of controller according to plant or a change of circumstances. Accordingly, this paper has gotten a gain of PID controller used neural network by self-funning method in order to settle above problem. The neural network can describe an input/output features in spite of non-linear system which is hard to get mathematical model by controlling the strength of connection by learning. It has a strong character against a distortion and noise of input information, and is suitable modeling of diver-variable system which is composed of several input/output. This paper has represented the self-tunning method for gain of PID controller used neural network when using PID controller to control speed of induction motor, and has checked strong characters against distortion and noise of input information through simulation.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.25 no.1
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• pp.11-21
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• 2018

Purpose: The purpose of this study was to translate the Self-Reflection and Insight Scale (SRIS) into Korean and test its validity and reliability. Methods: Participants were 340 nursing students who were recruited from 5 nursing colleges in Korea. Data were collected from November 21 to December 20, 2016 and analyzed using the IBM Statistics SPSS 22.0 and AMOS 23.0 programs. Exploratory factor analysis, Confirmatory factor analysis, and concurrent validity analysis were performed. Results: For the Korean-SRIS (K-SRIS) 4 items were deleted from the original SRIS. The final scale consisted of 16 items which were sorted into- the 2 factors: self-reflection (11 items), insight (5 items). The cumulative percent of variance was 50.91%. The statistically significant correlation between K-SRIS scores and the Reflection in Learning Scale (RLS) support the concurrent validity of the K-SRIS. The reliability of the scale, Cronbach's ${\alpha}$ was .83. Conclusion: The finding indicate that the K-SRIS has validity and reliability. Therefore it can be used for measuring and developing reflection ability in nursing students.

• Women's Health Nursing
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• v.12 no.4
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• pp.273-281
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• 2006

Purpose: The purpose of this study was to provide basic data for nursing programs to reduce fatigue among middle-aged adults by looking at age group differences. Method: The study used a secondary analysis design and participants were 315 middle-aged adults. The data was analyzed using $x^2$-test, ANOVA, Pearson's correlation coefficient analysis, and stepwise multiple regression. Results: The findings revealed significant age group differences in socio-demographic variables for educational level, job, religion, economic status, consumption of cigarettes, experience with disease, satisfaction with spouse and children, and number of children. Scores of fatigue showed a significant difference between age groups. The factors influencing fatigue for subjects in their thirties were depression, level of education and self-efficacy. For those in their forties, factors were stress, depression, and self-efficacy. For those in their fifties, the factor was stress. Conclusion: For people in their thirties, school education or lifelong learning programs are needed to reduce fatigue. A disease prevention program and a family support program for people in their forties and fifties. Nurses need to provide customized nursing programs related to depression, stress and self-efficacy to reduce fatigue among middle-aged adults based on age groups.