• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.101-109
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• 2011

Generally, learning tools like robots are being mainly used as teaching aids to enhance creativity of a group of students who are superior in their studies and have an excellent potential in private education. This study uses a relatively cheap line tracer as a teaching aid and connects it with regular subjects so that elementary school higher graders showing academic achievement lower than average can get robot learning. This research developed a line tracer learning curriculum and teaching materials for total 12 sessions and taught students showing academic achievement below average and evaluated them after. According to the result of evaluating their achievement levels based on their results of learning in each session, most of the students with low academic achievement was evaluated to understand most of the contents in the curriculum fully. Through its empirical implementation, this paper has found the possibilities of robot education connected with the regular curriculum for elementary students exhibiting relatively lower academic achievement.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.29-33
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• 2022

In this paper, we propose the deep learning based pre interference cancellation scheme algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information by applying a deep learning model at the transmitter. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.

• Educational Technology International
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• v.6 no.1
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• pp.121-137
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• 2005

In today's information-rich society, the need for information literacy has urgency. Three tasks of information processing are filtering, meaning-matching, meaning-construction that could be strengthened through inquiry-based learning. The cycles of reflection and practice develop the habit of mind, or conscious information processing that allow the learners to acquire higher level of information literacy. An on-line inquiry-based learning environment designed for information literacy may help learners to perform their lifelong learning better with the ability to appreciate, locate, evaluate, and use information effectively.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.300-303
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• 2003

An Algorithm based on direct implementation of variable structure systems theory approach is proposed for on-line training of multilayer perceptrons. Network structures which have multiple inputs, single output and one hidden layer are considered and the weights are assumed to have capabilities for continuous time adaptation. The zero level set of the network learning error is regarded as a sliding surface in the learning parameters space. A sliding mode trajectory can be brought on and reached in finite time on such a sliding manifold. Results from simulated on-line identification task for a two-link planar manipulator dynamics are also presented.

• School Mathematics
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• v.18 no.3
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• pp.479-501
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• 2016

This study was conducted as a learning project for 20 pre-third graders in high school by means of math textbooks, G+, and sample questions from previous CSAT as learning tools for 9 weeks from Dec. 24, 2015. The purpose of the study was to develop 'math textbook project learning(MtPL)', a mixed learning method combined on-line with off-line, and analyze the effects of MtPL on the affective domain of high school students. As a result of the study, it was found that MtPL had positive effects on self-efficacy and self-confidence of students, while the collaborative learning using a textbook and teacher's role worked as instrumental motivation in mathematics learning. The result also implies that the perception of high school students, who think to resolve more difficult math problems to succeed in CSAT, about mathematics learning method has to be modified. Furthermore, it is shown that the preparation of CSAT by utilizing textbook and the use of textbook in math learning have been worked positively for the students.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.3
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• pp.107-113
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• 2001

This paper deals with speed control of DC servo motor using a PID controller with a gain tuning based on a Back-Propagation(BP) Learning Algorithm. Conventionally a PID controller has been used in the industrial control. But a PID controller should produce suitable parameters for each system. Also, variables of the PID controller should be changed according to environments, disturbances and loads. In this paper described by a experiment that contained a method using a PID controller with a gain tuning based on a Back-Propagation(BP) Learning Algorithm, we developed speed characteristics of a DC servo motor on variable loads. The parameters of the controller are determined by neural network performed on on-line system after training the neural network on off-line system.

• Journal of Korean Institute of Industrial Engineers
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• v.20 no.4
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• pp.113-134
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• 1994

A radial basis hybrid neural network (RHNN) is presented for an on-line detection of machine condition change. Two-phase modeling by RHNN is designed for describing a machine condition process and for predicting future signal. A moving block procedure is also designed for detecting a process change. A fast on-line learning algorithm, the recursive least square estimation, is introduced. Experimental results showed the RHNN could be utilized efficiently for on-line machine condition monitoring.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1105-1108
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• 2003

Adaptation in dynamic environments gains a significant advantage by combining evolution and learning. We propose an on-line, realtime evolutionary learning mechanism to determine the structure and the synaptic weights of a neural network controller for mobile robot navigations. We support our method, based on (1+1) evolutionary strategy, which produces changes during the lifetime of an individual to increase the adaptability of the individual itself, with a set of experiments on evolutionary neural controller for physical robots behaviors.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.541-552
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• 2012

The purpose of the study was to investigate the effects of On-Line Community Assisted Team Learning (OCATL) activities on academic achievement and team member's Shared Mental Model(SMM) subscale scores. Two studies were conducted over two semesters in different universities. The first study was aimed at examining the effects of OCATL on university students' academic achievement using pre- and post- experimental design. For this experiment, 133 university students composed of 80 male and 53 female students from 13 colleges participated. The OCATL activities included the orientation of OCATL, seminar on collaborative learning, on-line community assisted team learning with sixteen hour participation during one semester and a final report (or a term paper). To measure these students' academic achievement, their pre- and post-semester's GPA were compared. The results of paired t-test revealed a significant difference in academic achievement (p<.05). The second study was designed to compare the scores of SMM subscales of the experimental group with the OCATL activities and those of the control group without using OCATL activities. The data was collected using the scale of Shared Mental Model(SMM)-short version developed by Johnson in 2011[18]. For this study, 74 participants from 10 teams served as an experimental group and 15 teams which were not exposed to OCATL activities served as a control group. The MANOVA results showed that SMM subscores of two groups measured after the experiment were statistically significantly different: The experimental group with the OCATL activities showed high scores on general task and team knowledge, general task and communication skills, attitudes toward team and task, team dynamics and interactions, team resources and working environment, and satisfaction with the team.

• Journal of Engineering Education Research
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• v.9 no.3
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• pp.37-48
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• 2006

The purpose of this study is to investigate the response and the recognition of students of blended learning. Set up the following study problem in order to achieve a study purpose. How are a response and a recognition of learner about blended learning? To study, Designed blended learning environment, and analyzed a bulletin board and a log file, and made up a question for 15 weeks after proceeding a class in order to recognition and response about the results operating blended learning. The results as follows: First, A lot of students prefer education in blended learning environment, and participate positively in activity in on-line activity. Second, When study in blended learning environment about media be prudent must select. Third, Confirmed the fact that various role of Instructor needed. Therefore, the design and operation of blended learning, which mixes traditional teaching methods and a modern on-line method, is meaningful.