• Journal of KIISE:Software and Applications
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• v.34 no.9
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• pp.804-816
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• 2007

Sample training data for machine learning often contain irrelevant information or redundant concept. It is also the case that the original data may include noise. If the information collected for constructing learning model is not reliable, it is difficult to obtain accurate information. So the system attempts to find relations or regulations between features and categories in the teaming phase. The feature selection is to remove irrelevant or redundant information before constructing teaming model. for improving its performance. Existing feature selection methods assume that the distribution of documents is balanced in terms of the number of documents for each class and the length of each document. In practice, however, it is difficult not only to prepare a set of documents with almost equal length, but also to define a number of classes with fixed number of document elements. In this paper, we propose a new feature selection method that considers the impurities among the words and unbalanced distribution of documents in categories. We could obtain feature candidates using the word impurity and eventually select the features through unbalanced distribution of documents. We demonstrate that our method performs better than other existing methods via some experiments.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.165-176
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• 2018

With the development of information and communication technology, the possibility of utilizing 3D virtual reality in education has been sought. Especially, the screen composition in the virtual reality has the possibility of inducing the emotion of the user which may affect the learning. However, there is little research on what aspects of the screen can cause emotions. The purpose of this study is to analyze the user's perception of screen components inducing emotion in virtual reality learning environment. Using Multi Dimensional Scaling (MDS), the user's perception of the main screen in a representative virtual reality learning environment platform was investigated. As a result, the dimension of depth on the screen and the dynamics of the avatar related to the movement were confirmed. This study is meaningful to explore technical variables that can induce emotions among screen elements in virtual reality contents.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.89-95
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• 2020

Recently, studies are being conducted to recognize a sketch image of a GUI (Graphical User Interface) based on a deep learning and to make it into a code implemented in an application. UI / UX designers can communicate with developers through storyboards when developing mobile applications. However, UI / UX designers can create different widgets for ambiguous widgets. In this paper, we propose an automatic UI detection method using symbol markers to improve the accuracy of DNN (Deep Neural Network) based UI identification. In order to evaluate the performance with or without the symbol markers, their accuracy is compared. In order to improve the accuracy according to of the symbol marker, the results are analyzed when the shape is a circle or a parenthesis. The use of symbol markers will reduce feedback between developer and designer, time and cost, and reduce sketch image UI false positives and improve accuracy.

• The Journal of Korean Association of Computer Education
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• v.19 no.2
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• pp.87-98
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• 2016

Our study is composed of Arduino robot assembly, board connecting and collaborative programming learning, and it is to evaluate their effect on improving secondary mathematics-science gifted students' convergence capability. Research results show that interpersonal skills, information-scientific creativity and integrative thinking disposition are improved. Further, by analyzing the relationship between the sub-elements of each thinking element, persistence and imagination for solving problems, interest of scientific information, openness, sense of adventure, a logical attitude, communication, productive skepticism and so on are extracted as important factors in convergence learning. Thus, as the result of our study, we know that gifted students conducted various thinking activities in their learning process to solve the problem, and it can be seen that convergence competencies are also improved significantly.

• Journal of the Korean earth science society
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• v.21 no.2
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• pp.116-127
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• 2000

This study is aimed at the development of multimedia learning program for earth science in the middle and high school. This program was made of HTML format and includes a variety of texts, graphs, pictures, drawings, animations, and moving image materials. And it was composed of six database elements(learning context, terminology dictionary, practical science, inquiry actvity, image material, and test item). The results of applying this program to students and teachers gave affirmative answers. The program is being offered on an internet website under Institute of Science Education of Kongju National University.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.9
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• pp.1019-1025
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• 2014

Recently, the studies of the Unmanned Aerial Vehicle(UAV) has been studied a variety from military aircraft to civilian aircraft and for general hobby activity aircraft. In particular, for small unmanned aircraft research for the ease of turning and hovering and Vertical-Off Take Landing(VTOL), have been studied mainly quadrotor unmanned aircraft is a type suitable for this study of small unmanned aircraft. The studies of these unmanned aircraft is the kinetic analysis requires complex processes, because these support by the aerodynamic forces on the unmanned aircraft study, and the controller design based on these dynamical analysis and experimental model analysis. In this paper, after the implementation of the basic attitude control based on a general PID controller, we propose concept design of the attitude control method on quadrotor attitude control by using the reinforcement learning algorithm of neural networks for non-linear elements not considered in the controller design.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.7
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• pp.263-270
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• 2014

This paper suggests a method for predicting a box-office success of the film. Lately, as the growth of the film industry, a variety of studies for the prediction of market demand is being performed. The product life cycle of film is relatively short cultural goods. Therefore, in order to produce stable profits, marketing costs before opening as well as the number of screen after opening need a plan. To fulfill this plan, the demand for the product and the calculation of economic profit scale should be preceded. The cases of existing researches, as a variable for predicting, primarily use the factors of competition of the market or the properties of the film. However, the proportion of the potential audiences who purchase the goods is relatively insufficient. Therefore, in this paper, in order to consider people's perception of a movie, Twitter was utilized as one of the survey samples. The existing variables and the information extracted from Twitter are defined as off-line and on-line element, and applied those two elements in machine learning by combining. Through the experiment, the proposed predictive techniques are validated, and the results of the experiment predicted the chance of successful film with about 95% of accuracy.

• Journal of the Korean School Mathematics Society
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• v.22 no.3
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• pp.221-240
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• 2019

The purpose of this study is to suggest Reciprocal Peer Tutoring(RPT) for mathematics underachieving students as one way of the instructional strategies to supplement their lack of mathematics learning and to provide them with successful experiences in learning mathematics. We defined underachieving student in mathematics as the student whose mathematics achievement was high or middle level in the middle school but became lower in high school. Four mathematics underachievers voluntarily participated in this study. We examined the effects and roles of RPT by focusing on their positive change in the affective domain. RPT was conducted for about three months, including pre-training, pretest, and posttest. As the results of this research, RPT has generally made positive changes in the affective domain of underachieving mathematics students. Although four students did not show the same pattern of change and the sub-elements of positive change were different for each student, RPT provided opportunities for 4 all students to experience positive change.

• Journal of Gifted/Talented Education
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• v.12 no.4
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• pp.1-25
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• 2002

This study investigated the background of the intellectual ability that consists of family environment, intellectual priority, career aims, intellectual extracurricular activities of the students who were selected for the Science Gifted Education Center. We performed a survey and analysis of the students at the Science Gifted Education Center in order to explore their learning attitudes and intellectual ability, as well as the elements that represent their attitudes. As a result of the study, I found that the students in the Science Gifted Education Center generally had good economic and family backgrounds that showed no significant hardship in supporting the students. The families were also highly educated intellectually. In case the talented students in Science desired to be pure scientists, they liked the Science subjects and enjoyed reading science books. It was mostly the male students that took part. As for the attitude toward intellectual ability, they expected to improve their abilities as they gained knowledge and increased their intelligence through learning, although they didn't confide with us on their intelligence quotients. There were four factors for these attitudes. They include the high expectation of them by others; confidence and ease of mind regarding the assignment; the expectation for improvement in intelligence and ability through learning; and, confidence in intelligence and positive attitude in the participation situatio

• Journal of Educational Research in Mathematics
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• v.22 no.1
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• pp.69-99
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• 2012

This study aims to develop a highly-reliable inventory for measuring and analyzing the positive psychological experience in math learning. A measurement result provides meaningful information on the strength of students. Elements of positive psychological experience in math learning were extracted by the extensive research on the literature. The result was verified through the open survey. Through this process, the first preliminary questionnaire of 106 items was released, and was revised into the second one of 66 items through a continuous investigation on reliability and validity. Finally, a measurement inventory with 65 questions for testing 'positive psychological experience in math learning' was established.