• Journal of vocational education research
• /
• v.29 no.3
• /
• pp.265-289
• /
• 2010

This study aims to identify effects of outplacement support program for discharged soldier to settle and adapt successfully in Ministry of Patriots and Veterans Affairs. The subject of this study are 323 discharged soldiers who completed the outplacement support program. A survey questionnaire is conducted to measure variables of this study. All data analysis is accomplished using the AMOS 7.0 version. The results of this study are as follows. First, learning motivation has direct effect on learning flow and program satisfaction positively. Second, organizational support has direct effect on program satisfaction, psychological stability positively and on learning flow negatively. Third, outplacement support program has direct effect on learning flow, program satisfaction, job-seeking efficacy and psychological stability positively. Fourth, learning flow has direct effect on program satisfaction positively but don't have direct effect on job-seeking efficacy and psychological stability significantly. Fifth, learning motivation, outplacement support program has direct effect on job-seeking efficacy and psychological stability with partial mediation effect of program satisfaction while without mediation effect of learning flow. Based on the results of the study, the following recommendations have been made. First, it is necessary to design the outplacement support program with contents in relation to discharged soldiers' successful settlement because discharged soldiers who completed the outplacement support program showed higher job-seeking efficacy and psychological stability. Second, it is needed to conduct a longitudinal study considering other variables such as employment, establishment success etc.

• Nuclear Engineering and Technology
• /
• v.52 no.4
• /
• pp.784-790
• /
• 2020

The accelerated corrosion by Flow Accelerated Corrosion (FAC) has caused unexpected rupture of piping, hindering the safety of nuclear power plants (NPPs) and sometimes causing personal injury. For the safety, it may be necessary to select some pipes in terms of condition monitoring and to measure the change in thickness of pipes in real time. Direct current potential drop (DCPD) method has advantages in on-line monitoring of pipe wall thinning. However, it has a disadvantage in that it is difficult to quantify thinning due to various thinning shapes and thus there is a limitation in application. The machine learning approach has advantages in that it can be easily applied because the machine can learn the signals of various thinning shapes and can identify the thinning using these. In this paper, finite element analysis (FEA) was performed by applying direct current to a carbon steel pipe and measuring the potential drop. The fundamental machine learning was carried out and the piping thinning model was developed. In this process, the features of DCPD to thinning were proposed.

• Journal of Technologic Dentistry
• /
• v.41 no.3
• /
• pp.233-244
• /
• 2019

Purpose: The purpose of the study is to learn the importance of self-directed learning about career-preparation behavior of department of dental technology students. Methods: Using the questionnaire, the department of dental technology in Gyeongnam Province conducted a survey of students of department of dental technology at A and B college for one month from May 15, 2019 through June 15, 2019, and finally 204 students were surveyed for Self-esteem, Self-determination, Self-efficacy, Internal control, College life adaptation, Self-directed learning, and Career-preparation behavior. Results: Self-esteem among students has been shown to improve self-directed learning by increasing the stress of college life, and self-efficacy has only a direct effect on self-directed learning. In addition, self-determination and internal control of department of dental technology students were found to be variables that have a common positive effect on college life adaptation and self-directed learning. In addition, college life adaptation gives direct positive effect to self-directed learning, but indirect effect through self-directed learning was found to be stronger than direct effect on career-preparation behavior, and the career-preparation behavior of students was further strengthened through self-directed learning. Conclusion: The changes in college restructuring and various policies also suggest that students should actively seek ways to instill certainty about their major's vision and career path within the college rather than deciding their future through extreme measures such as academic secession at a time when anxiety and uncertainty about their career is strong.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.24 no.3 s.174
• /
• pp.653-660
• /
• 2000

The automatization by industrial robot of today is merely rely on to the simple position repeating works, but requirements of research and development to the force control which would adapt positively to various restriction or contacting works to environment. In this paper, a learning control algorithm using, neural networks is proposed for the position and force control by a direct-drive robot. The proposed controller is the feedback controller to which the learning function of neural network is added on to and has a character of improving controller's efficiency by learning. The effectiveness of the proposed algorithm is demonstrated by the experiment on the hybrid position and force control of a parallelogram link robot with a force sensor.

• Proceedings of the KIEE Conference
• /
• 1993.07a
• /
• pp.369-372
• /
• 1993

In this thesis, we consider an iterative learning controller to control the continuous trajectory of 2 links direct drive robot manipulator and process computer simulation and real-time experiment. To improve control performance, we adapt an iterative learning control algorithm, drive a sufficient condition for convergence from which is drived extended conventional control algorithm and get better performance by extended learning control algorithm than that by conventional algorithm from simulation results. Also, experimental results show that better performance is taken by extended learning algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.169-175
• /
• 2015

The purpose of this study is to investigate the structural relationships among teaching presence, cognitive presence, social presence, service quality, learning flow, and learners' satisfaction in mobile learning. Survey data collected by 255 learners who completed mobile-supported courses offered by an online university in South Korea were analyzed using structural equation modeling. The results suggest that cognitive presence, social presence, and service quality have direct effects on learning flow, and that cognitive presence, service quality, and learning flow have direct effects on learners' satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.3
• /
• pp.364-372
• /
• 2016

This study examined the multi-phrased effects and outcomes of adult female learners who participated in lifelong learning activities, as well as the proposed structural relationships among the five latent variables. Questions established to achieve the purpose of the study are as follow: What effects do the learner's characteristics, lifelong education institutions, learning flow, and learning satisfaction have on the learning come? The participants of the survey numbered 632, but 54 respondents who were unreliable or did not complete their survey were excluded. A total of 578 cases were analyzed for this research. The structural relationships among the five latent variables-learner's characteristics, lifelong education institutions, learning flow and learning satisfaction, and learning outcome of the adult female learners-AMOS 18.0 program were also used for structural analysis. The major findings of this research are as follows. First, the model fitness showed that the hypothetical model provided a reasonable fit to the data ${\chi}^2=224.267$ (df=69, p<.001), RMSEA=.062, TLI=.943, RFI=.920, CFI=.957, IFI=.957, NFI=.939. Second, the learner's characteristics ( =.218, p<.001) and lifelong education institutions ( =.301, p<.001) have a direct effect on the learning outcomes. The learning flow ( =-.149 p=.541) does not have a direct effect on the learning outcome. Learning satisfaction ( =.405 p<.001) have a direct effect on the learning outcome. To put findings above together, in respect to adult female learners' performances, the learning outcomes are influenced directly by the learner characteristics, conditions of the lifelong education institutions, and learning satisfaction, whereas satisfaction indirectly affects the learners' learning outcome.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.40 no.2
• /
• pp.19-25
• /
• 2003

For a class of multi-input multi-output nonlinear systems which perform a given task repetitively, an extended type of a direct leaning control (DLC) is proposed using the information on the (vector) relative degree of a multi-input multi-output system. Existing DLC methods are observed to be applied to a limited class of systems with the relative degree one and a new DLC law is suggested which can be applied to systems having higher relative degree. Using the proposed control law, the control input corresponding to the new desired output trajectory is synthesized directly based on the control inputs obtained from the learning process for other output trajectories. To show the validity and the performance of the proposed DLC, simulations are performed for trajectory tracking control of a two-axis SCARA robot.

• Education of Primary School Mathematics
• /
• v.24 no.1
• /
• pp.1-20
• /
• 2021

Factors influencing mathematics academic achievement are constantly changing and have direct and indirect effects on mathematics achievement, so longitudinal studies that can predict and analyze their growth are needed. This study uses longitudinal data on students from 2011 (5th grade of elementary school) to 2015 (2nd grade of middle school) of the Seoul Education Longitudinal Study, and divides them into groups with similar longitudinal changes in mathematics academic achievement. The direct and indirect effects of learning attitudes and achievement goals were examined. As a result of the study, it was found that learning effort and learning attitude had a direct effect on mathematics achievement in 1 group (2277 students, 67.7%), and learning attitude had a direct effect on mathematics achievement in 3 groups (958 students, 28.5%). And it was found that learning effort h ad an indirect effect. In addition, it was found that both learning attitudes, learning efforts, and achievement goals had no effect on the academic achievement of mathematics in the second group (127 students, 3.8%).

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.39 no.5
• /
• pp.1-7
• /
• 2002

In this paper, an extended type of a direct learning control(DLC) method is proposed for the effective control of systems which perform a given task repetitively. DLC methods have been suggested to overcome the defects of iterative learning control, the learning process should be resumed from the beginning even if a slight change occurs in the desired output pattern. If a given desired output trajectory is "proportional" to the output trajectories which are learned previously, we can obtain the desired control input directly without the iterative learning process by using the DLC. First, most existing DLC methods are shown to be applicable only to single-input single-output systems with the relative degree one and then, an extended type of DLC is proposed for a class of nonlinear systems having the relative degree more than or equal to one by using the known relative degree of a nonlinear system. By the simulation results for the arbitrary nonlinear system with the relative degree more than one, the validity and the performance of the proposed DLC method are examined.