• Journal of The Korean Association For Science Education
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• v.16 no.1
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• pp.77-86
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• 1996

The purpose of this study was to review the studies related to concept learning forcusing on the meanings, kinds, and characteristics of concepts. Then the characteristics of the concepts were analyzed in the three positions: metaphysics, epistemology, and psychology. It was identified that the word 'concept' were confused with the other words such as conception, construct, idea, notion, identity. It was also found that researchers defined the concepts by the use of various meanings. The instructional strategies for scientific concepts were also analyzed in this study. The study found that the instructional strategies for concept learning were developed according to the views about the nature of concepts. Described on the paper are three types of instructional models for science concepts suggested by constructivists as follows: concept formation, concept differentiation, and exchange. They developed the models based on the current research on the misconceptions of major scientific concepts.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.1
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• pp.41-47
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• 2000

A better tracking performance can be achieved, if visual sensors such as CCD cameras are used in controling a robot manipulator, than when only relative sensors such as encoders are used. However, for precise visual servoing of a robot manipulator, an expensive vision system which has fast sampling rate must be used. Moreover, even if a fast vision system is implemented for visual servoing, one cannot get a reliable performance without use of robust and stable inner joint servo-loop. In this paper, we propose a dynamic control scheme for robot manipulators with eye-in-hand camera configuration, where a dynamic learning controller is designed to improve the tracking performance of robotic system. The proposed control scheme is implemented for tasks of tracking moving objects and shown to be robust to parameter uncertainty, disturbances, low sampling rate, etc.

• Journal of Computational Design and Engineering
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• v.1 no.1
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• pp.67-77
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• 2014

Most engineering software tools use typical menu-based user interfaces, and they may not be suitable for learning tools because the solution processes are hidden and students can only see the results. An educational tool for simple beam analyses is developed using a pen-based user interface with a computer so students can write and sketch by hand. The geometry of beam sections is sketched, and a shape matching technique is used to recognize the sketch. Various beam loads are added by sketching gestures or writing singularity functions. Students sketch the distributions of the loadings by sketching the graphs, and they are automatically checked and the system provides aids in grading the graphs. Students receive interactive graphical feedback for better learning experiences while they are working on solving the problems.

• Journal of Sensor Science and Technology
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• v.30 no.4
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• pp.261-266
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• 2021

A simple memristor model is proposed for the neuromorphic system in the Simulation Program for Integrated Circuits Emphasis (SPICE). The memristive I-V characteristics with different voltage and frequencies were analyzed. And with the model, we configured a learning and inference system with 4 by 4 memristor array to show the practical use of the model. We examined the applicability by configuring the simplest neuromorphic circuit. The total simulation time for the proposed model was 18% lesser than that for the one-memristor model. When compared with more memristor models in a circuit, the time became even shorter.

• Geomechanics and Engineering
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• v.37 no.3
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• pp.263-277
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• 2024

Artificial Neural Networks (ANNs) are artificial learning algorithms that provide successful results in solving many machine learning problems such as classification, prediction, object detection, object segmentation, image and video classification. There is an increasing number of studies that use ANNs as a prediction tool in soil classification. The aim of this research was to understand the role of hyperparameter optimization in enhancing the accuracy of ANNs for soil type classification. The research results has shown that the hyperparameter optimization and hyperparamter optimized ANNs can be utilized as an efficient mechanism for increasing the estimation accuracy for this problem. It is observed that the developed hyperparameter tool (HyperNetExplorer) that is utilizing the Covariance Matrix Adaptation Evolution Strategy (CMAES), Genetic Algorithm (GA) and Jaya Algorithm (JA) optimization techniques can be successfully used for the discovery of hyperparameter optimized ANNs, which can accomplish soil classification with 100% accuracy.

• Journal of Advanced Marine Engineering and Technology
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• v.27 no.5
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• pp.641-647
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• 2003

The use of infrared range-finder sensor as the environment recognition system for mobile robot have the advantage of low sensing cost compared with the use of other vision sensor such as laser finder CCD camera. However, it is not easy to find the previous works on the use of infrared range-finder sensor for a mobile robot because of the non-linear characteristic of that. This paper describes the error due to non-linearity of a sensor and the correction of it using neural network. The neural network consists of multi-layer perception and Levenberg-Marquardt algorithm is applied to learning it. The effectiveness of the proposed algorithm is verified from experiment.

• Journal of Korean language education
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• v.29 no.3
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• pp.145-163
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• 2018

The purpose of this study was to identify the necessity of research for increasing French language learners and to examine their use of listening strategies according to their proficiency as a basic study for their continuous learning and communication skills. In the case of French language Korean learners, both the beginner and intermediate learners used the upper cognitive strategy most frequently. However, the cognitive strategy, which has been mentioned as a frequently used strategy in previous studies, was found to be the least used in this study. This finding can be attributed to differences in mores and mastery of prior studies and research subjects. The cognitive strategy was lower in both the beginner and intermediate levels, but the level of use increased significantly in the intermediate level compared to the beginner level, showing only statistically significant differences in the usage patterns according to the proficiency level among the four listening strategies.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.61-66
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• 2022

Digital education has emerged all over the world with a new wave of learning innovations and opportunities. Higher education institutions need to develop the digital competence of future specialists and train teachers who are creative individuals, have the skills to use digital technologies, and are able to solve problems, make important decisions, effectively manage their own lives, and realize their potential. In this aspect, the strategy for evaluating the results of the educational achievements of future specialists is important. The purpose of the article is to analyze the use of distance technologies in higher education institutions in the context of the development of a system for assessing the quality of education. Methodology implies the application of theoretical methods of analysis.

• Journal of The Korean Association For Science Education
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• v.27 no.8
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• pp.755-764
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• 2007

This study examines secondary school science teachers' use of science museums in their teaching and their perception/evaluation/utilization of the educational programs in Korean science museums. We found that teachers do not use science museums in close connection with their formal education; therefore, the students' experiences usually are minimal or are personal experiences. The main reason for this infrequent use of science museums is not because of their insignificant educational effects, but because of the lack of external and administrative support systems. Science teachers want the museums to have structured/organized programs such as science camps or experiments and a lending program which would provide experimental equipment and exhibits relevant to the school science curriculum. 90% of teachers who answered the survey wanted to participate in developing and managing the educational programs of science museums. The educational programs would be used more effectively in relation to formal science learning if the science teachers, who are science education professionals, participated in managing and planning the educational programs of science museums.

• Journal of The Korean Association For Science Education
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• v.27 no.6
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• pp.477-487
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• 2007

Previous studies show that students have difficulties in understanding and using molecular visualization tools. This study focuses on the ways in which first year chemistry undergraduates use ball-and-stick molecular models to explain the concept of addition reaction and the difficulties that they face using the models. Video recordings of interviews with undergraduates manipulating ball-and-stick models to solve problems related to reaction mechanisms are analysed to determine if they are able to elucidate their understanding with use of models. The results showed that students have difficulties with viewing the ball-and-stick models from the proper perspective and understanding the relationship between the various structures that they have created using the models. They also find the use of ball-and-stick models tedious and prefer drawing molecular structures on paper to explain their ideas. Implications for the teaching using ball-and-stick molecular models are discussed.