• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1608-1614
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• 2009

Many learners on E-learning databank based selection system making self-directed progress with learning by diagnosis oneself based on automatically selection questions using degrees of difficulty. This methods is most important to choose a questions using right a way for effective self-directed learning progress of learners. This paper present new question selection algorithms consider for degree of difficulty, scope of learning and keyword of questions according to examination type. This algorithm providers more effective learning diagnosis methods as compared with previous algorithm consider for only degrees of difficulty.

• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.721-733
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• 2007

The purpose of this research was to determine the effects of the functional lateralization of the brain variables related to the sex, the scientific attitude and the scientific exploration skills. The science instruction is divided in each type of the lecturing class with the experiment class. As for the degree of SMR brainwave activation in each stage are presented while accumulating the brain waves from the right, left and the whole brain waves are analyzed during the science learning activities. It is therefore reasonable to consider the science instruction types and brain lateralization to enhance the science learning effectiveness. Sensorimotor rhythm brainwave as the low Beta is represented well to show the thought process. Category quantification scores and objective scores are calculated to show the visual positioning map for the relationships of the categories by homogeneity analysis.

• Journal of the Korean Society of Industry Convergence
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• v.6 no.4
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• pp.413-420
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• 2003

We can take 'Profit security', in the field Process improvement activity and man-power upgrade in the learning of organization activity or upgrading ability of each peoples. After Tayler System(Scientific Management in1911) and Ford System(Conveyor system in 1913), Toyota System(Ohno's TPS; Toyota Production System around 1980) which was developed by Toyota in Japan in the third productive revolution. This thesis study on the focus of 2 successful examples(P and S companies in Seong-Seo industrial complex Tae-Gu city) which introduce Toyota system can apply to VM(Visual Management), 3jeong(Right Products Right Quantity, Right Box and Right Position)5S(Seiri, Seiton, Seisoh Seiketsu, Sitsuke), JIT(Just In Time), KAIZEN(Improvement), KANBAN System(Logistic) and output of Factory. For examples P company obtained a lot of results(productivity increase 19%, Quality up 46%-36ppm, storage decrease 25% per year), S company obtained a lot of results(productivity increase 20%, Quality up 40%, storage decrease 33% per year, 2600 improvements in 2002. In conclusion Korean KANBAN system (modified Toyota System) is similar to exchange of work as Korean traditional system in agriculture as like dure 'PUMASHI' SANGBU-SANJO) that's autonomous management systems. In conclusion Korea KANBAN system needs apply to not only all the manufacturing industry but also the various fields of industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.906-912
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• 2009

Offline-based study is proceeding effectively for directly teaching and communication between a learner and a professor. In general virtual education system have been solve this problem using provides search of particular learning domain and auto feedback of relative learning domain after examination. But the learner needs personally select the right document among search result set and interconnected precedence study domain. Therefore, the unskilled learner is difficult of learning progress over against offline-based study. This paper suggests a index mechanism of varied views for helps to learner understand the flow and direction of learning and correlation between units.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.4
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• pp.508-517
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• 2013

Purpose: The purpose of this study was to evaluate the effectiveness of infant CPR (Cardiopulmonary Resuscitation) immediate remediation[LAB2]. Methods: This is a quasi-experimental study with a non-equivalent comparison group pre-post test design. Participants were 73 child care teachers in J district in Seoul. The experimental group (35) received immediate remediation with video learning [LAB3]for infant CPR education and the control group (38) received video learning only. We investigated confidence of infant CPR and tested single-rescuer infant CPR performance depending on a checklist (8 items). Data were collected before and right after to evaluate the confidence of infant CPR and before, right after and 2 weeks after the education to evaluate the skill performance and final acceptance. Results: There was a significant increase in confidence of infant CPR in the experimental group and control group. There was a statistically significant difference in the degree of skill performance between groups according to the amount time (F=10.58, p<.001). The degree of skill performance was tested two weeks after the education and immediate remediation was 5.35 times more effective compared to the video image demonstration (B=1.677, p<.001). Conclusion: The findings provide the necessity of immediate remediation education of infant CPR to increase confidence and skill performance ability.

• The Journal of Korean Physical Therapy
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• v.23 no.2
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• pp.31-36
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• 2011

Purpose: We investigated the effects of physical practice, mental practice, and cross education using serial reaction time (SRT) in the non-dominant left arm of right-handed individuals. Methods: Subjects were divided into three groups; physical practice (n=8), mental practice (n=8) and controls (n=8). They did, respectively, physical training or mental training, or had no intervention for three weeks. Super lab 4.0 displayed four symbols on the monitor and subjects were asked to push the matching button. Reaction time was assessed pre- and post-intervention. Results: Reaction time was significantly lower after physical practice (p<0.05), but mental practice did not significantly lower reaction time? in the left hand. Also, reaction time was not significantly lower after physical practice or mental practice in the right hand. Conclusion: Physical practice can improve motor learning, but mental practice is not sufficient. Also, neither physical practice nor mental practice is sufficient for cross education from the nondominant to the dominant arm.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.457-463
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• 2015

This paper presents the need for the concept of collective intelligence based system for the timely learning and incorrect notes show the utilization and satisfaction. The old wrong answer note system is characterized by the provision of uniform right answer explanations for the questions whose answers were wrong by checking whether the evaluation items were answered right or wrong. The characteristic requires a lot of improvements in terms of wrong answer analysis and feedback since it cannot properly receive feedback on the items that a learner got right by luck in spite of poor understanding of them and on the errors in the selection process of wrong answers by individual learners. The SERO wrong answer note was designed to propose new ways to identify and capture such "score errors" and compensate for the practical weaknesses of learners. The Stability Emergency Risk Opportunity (SERO) wrong answer note is based on a method of categorizing and analyzing evaluation items answered by the examinee into four types (S, E, R and O type), and commentary correct as well as incorrect answers by presenting a variety of commentary notes using the collective intelligence of the study show that satisfaction is high.

• Physical Therapy Korea
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• v.10 no.3
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• pp.17-27
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• 2003

Repetitive transcranial magnetic stimulation (rTMS) modulates cortical excitability beyond the duration of the rTMS trains themselves. Depending on rTMS parameters, a lasting inhibition or facilitation of cortical excitability can be induced. Therefore, rTMS of high or low frequency over motor cortex may change certain aspects of motor learning performance and cortical activation. This study investigated the effect of high and low frequency subthreshold rTMS applied to the motor cortex on motor learning of sequential finger movements and brain activation using functional MRI (fMRI). Three healthy right-handed subjects (mean age 23.3) were enrolled. All subjects were trained with sequences of seven-digit rapid sequential finger movements, 30 minutes per day for 5 consecutive days using their left hand. 10 Hz (high frequency) and 1 Hz (low frequency) trains of rTMS with 80% of resting motor threshold and sham stimulation were applied for each subject during the period of motor learning. rTMS was delivered on the scalp over the right primary motor cortex using a figure-eight shaped coil and a Rapid(R) stimulator with two Booster Modules (Magstim Co. Ltd, UK). Functional MRI (fMRI) was performed on a 3T ISOL Forte scanner before and after training in all subjects (35 slices per one brain volume TR/TE = 3000/30 ms, Flip angle $60^{\circ}$, FOV 220 mm, $64{\times}64$ matrix, slice thickness 4 mm). Response time (RT) and target scores (TS) of sequential finger movements were monitored during the training period and fMRl scanning. All subjects showed decreased RT and increased TS which reflecting learning effects over the training session. The subject who received high frequency rTMS showed better performance in TS and RT than those of the subjects with low frequency or sham stimulation of rTMS. In fMRI, the subject who received high frequency rTMS showed increased activation of primary motor cortex, premotor, and medial cerebellar areas after the motor sequence learning after the training, but the subject with low frequency rTMS showed decreased activation in above areas. High frequency subthreshold rTMS on the motor cortex may facilitate the excitability of motor cortex and improve the performance of motor sequence learning in normal subject.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.220-228
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• 2022

The directed tests produce an expectation model to assist the organization's heads and professionals with settling on the right and speedy choice. A directed deep learning strategy has been embraced and applied for SCADA information. In this paper, for the load shedding expectation overall power organization of Libya, a convolutional neural network with multi neurons is utilized. For contributions of the neural organization, eight convolutional layers are utilized. These boundaries are power age, temperature, stickiness and wind speed. The gathered information from the SCADA data set were pre-handled to be ready in a reasonable arrangement to be taken care of to the deep learning. A bunch of analyses has been directed on this information to get a forecast model. The created model was assessed as far as precision and decrease of misfortune. It tends to be presumed that the acquired outcomes are promising and empowering. For assessment of the outcomes four boundary, MSE, RMSE, MAPE and R2 are determined. The best R2 esteem is gotten for 1-overlap and it was 0.98.34 for train information and for test information is acquired 0.96. Additionally for train information the RMSE esteem in 1-overlap is superior to different Folds and this worth was 0.018.

• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.135-146
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• 2010

In this paper, we propose an Recommendation System for supporting self-directed learning on e-learning marketplace. The key idea of this system is recommendation system using revised collaborative filtering to support marketplace. Exisiting collaborative filtering method consists of 3 stages as preparing low data, building familiar customer group by selecting nearest neighbor, creating recommendation list. This study designs recommendation system to support self-directed learning by using collaborative filtering added nearest neighbor learning course that considered industry and learning level. This service helps to select right learning course to learner in industry. Recommendation System can be built by many method and to recommend the service content including explicit properties using revised collaborative filtering method can solve limitations in existing content recommendation.