• Proceedings of the KSME Conference
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• 2003.04a
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• pp.816-821
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• 2003

Researchers have utilized artificial evolution techniques and learning techniques for studying the interactions between learning and evolution. 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. We investigate the effects of learning in evolutionary process by comparing the performance of the proposed realtime evolutionary learning method with that of evolutionary method only. Also, we investigate an interactive evolutionary algorithm to overcome the difficulties in evaluating complicated tasks.

• Proceedings of the IEEK Conference
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• 2000.06a
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• pp.115-118
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• 2000

In order to control the flow of traffics in ATM networks and optimize the usage of network resources, an efficient control mechanism is necessary to cope with congestion and prevent the degradation of network performance caused by congestion. To effectively control traffic in UNI(User Network Interface) stage, we proposed algorithm of integrated model using on-line teaming neural network for CAC(Call Admission Control) and UPC(Usage Parameter Control). Simulation results will show that the proposed adaptive algorithm uses of network resources efficiently and satisfies QoS for the various kinds of traffics.

• Journal of The Korean Association of Information Education
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• v.7 no.1
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• pp.80-90
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• 2003

In this paper, we designed the on-line Real-time Video Communication Learning System(RVCLS) for Web-based project learning and develop programs for test groups. And we have also analyzed how the Web-based learning using RVCLS change the students' perception on the classroom environment, using the WIHIC which is the classroom environment examination tool As a result, the Web-based project learning activities using RVCLS had affirmative effects on the eight areas of classroom environment such as students unity, teacher support, participation in class, spontaneity, exploration activities, task-oriented mind, cooperative attitude, and equality. Also, the web -based project learning using RVCLS is expected to help students enhance the self-directed learning capacity and increase abilities to use ICT.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.453-455
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• 2021

Due to the prolonged Covid-19, online learning has become an essential learning, not an option. In this reality, online learning method that depends on passive video viewing have limitations of poor academic performance and low learning achievement for students. In this work, to overcome these limitations, we apply PSC-Note to the PBL teaching method to improve learners' problem-solving and self-directed learning skills and also improve learning achievement.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.10a
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• pp.135-139
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• 2000

This research proposes a nonlinear sliding mode control. The sliding mode control is designed according to Lyapunov function. The equivalent control term is estimated by neural network. To estimate the unknown part in the control law in on-line fashion, A recurrent neural network is given as on-line estimator. The stability of the control system is guaranteed owing to the on-line learning ability of the recurrent neural network. It is certificated through simulation results to be applied to nonlinear system that the function approximation and the proposed control scheme is very effective.

• Education of Primary School Mathematics
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• v.25 no.3
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• pp.213-232
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• 2022

With the importance of number line in learning fractions, this study investigated how 4th grade students understand fractions and its operations in number line. The questionnaire consisted 22 items which were related to representing fractions, comparing the size of fractions, and operating addition and subtraction of fractions. Both structured number line and sub-structured number line were presented in the items. As results of the study, the overall success rates were not high and even some items showed higher incorrect answer rates than the success rates. Also, the students showed a difficulty in solving non-structured number line tasks. It was also noticeable that students showed several types of incorrect answers, which means that students had incomplete understanding of both fractions and number line. This paper is expected to shed light on elementary students' understanding of fractions and number line and to provide implications of how to deal with number line in teaching and learning fractions in the elementary school.

• Journal of KIISE:Software and Applications
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• v.31 no.11
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• pp.1431-1438
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• 2004

Reinforcement learning learns policies for accomplishing a task's goal by experience through interaction between agent and environment. Q-learning, basis algorithm of reinforcement learning, has the problem of curse of dimensionality and slow learning speed in the incipient stage of learning. In order to solve the problems of Q-learning, new function approximation methods suitable for reinforcement learning should be studied. In this paper, to improve these problems, we suggest Fuzzy Q-Map algorithm that is based on online fuzzy clustering. Fuzzy Q-Map is a function approximation method suitable to reinforcement learning that can do on-line teaming and express uncertainty of environment. We made an experiment on the mountain car problem with fuzzy Q-Map, and its results show that learning speed is accelerated in the incipient stage of learning.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.39-45
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• 2007

In this paper, we developed an intelligent web based e-learning system based on multi agents. To do development of the system, we applied an inclination test that is based on the education theory to do grouping the desirable e-learning community. The proposed system, Intelligent Web based e-learning Multi Agent System (IMAS), is used the multi agents paradigm including learning manner by neural network for grouping of e-learning community and a new distributed multi agent framework proposed here.

• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.451-459
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• 2009

With the development of the Information and Communication Technology(ICT), this society is changing rapidly to information based society. Also, the amount of new information and knowledge are increased quickly. Today, the traditional teaching-learning method based on teaching and learning of simple knowledge is not supported to problem solving any more. Because the learning and practice of ICT is affected not only personal growth but also the right to live. Due to this reason, it is important to teach and study using PBL(Problem Based Learning) in future. This paper proposes on-line based e-PBL which is combined e-learning with PBL. The e-PBL will be able to overcome the problem of traditional teaching-learnign method. Therefore, this paper developed the e-PBL teaching model for information literacy education of computer in elementary schools and inspected its effectiveness and validity. In addition, this paper built and utilized the e-PBL on-line learning support system including e-Mentoring which was defined as e-PAS system. It is effective for learners to improve the ability of self-leading, the accomplishment and satisfaction of studying.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3959-3966
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• 2011

The purpose of this study was to investigate the effect of self-regulated learning ability on English learning achievement. A survey was conducted to the students majoring different fields of study in order to measure their self-regulated learning ability from March 10, 2010 to June 10, 2010. The result indicates a strong correlation between students' English achievement and self-regulated learning factors such as cognitive, affective, and behavior regulation. The results revealed that instructional, and training interventions should be needed to have significant goal-orientation, to maintain motivation, and to have self confidence from On-line and Off-line blended teaching for the successful English learning.