• Journal of Platform Technology
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• v.8 no.3
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• pp.10-21
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• 2020

Partial discharge occurs a lot in high-voltage power equipment such as switchgear, transformers, and switch gears. Partial discharge shortens the life of the insulator and causes insulation breakdown, resulting in large-scale damage such as a power outage. There are several types of partial discharge that occur inside the product and the surface. In this paper, we design a predictive model that can predict the pattern and probability of occurrence of partial discharge. In order to analyze the designed model, learning data for each type of partial discharge was collected through the UHF sensor by using a simulator that generates partial discharge. The predictive model designed in this paper was designed based on CNN during deep learning, and the model was verified through learning. To learn about the designed model, 5000 training data were created, and the form of training data was used as input data for the model by pre-processing the 3D raw data input from the UHF sensor as 2D data. As a result of the experiment, it was found that the accuracy of the model designed through learning has an accuracy of 0.9972. It was found that the accuracy of the proposed model was higher in the case of learning by making the data into a two-dimensional image and learning it in the form of a grayscale image.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.1075-1087
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• 2020

Aviation ICT technology is a convergence technology between aviation and electronics, and has a wide variety of applications, including navigation and education. Among them, in the field of aerial pilot training, there are many problems such as the possibility of accidents during training and the lack of coping skills for various situations. This raises the need for a simulated pilot training system similar to actual training. In this paper, pilot training data were collected in pilot training system using VR/AR to increase immersion in flight training, and Customized Pilot Training Platform with Collaborative Deep Learning in VR/AR Environment that can recommend effective training courses to pilots is proposed. To verify the accuracy of the recommendation, the performance of the proposed collaborative deep learning algorithm with the existing recommendation algorithm was evaluated, and the flight test score was measured based on the pilot's training data base, and the deviations of each result were compared. The proposed service platform can expect more reliable recommendation results than previous studies, and the user survey for verification showed high satisfaction.

• Journal of The Korean Association of Information Education
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• v.6 no.1
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• pp.53-63
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• 2002

The purpose of this thesis is to design and implement an efficient Web- based Project Learning System(WPLS) in particular for the interactive of an elementary school children. The WPLS in this paper has four main parts ; user interface, learner module, administrator module and database. This system was implemented in accordance with the project themes solving learning processes. So the learner module consists of five steps ; project theme proposal, project plan, project execution, web-publishing, and project test. WPLS can improve student`s ICT using ability and academic achievement.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.23-28
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• 2011

It is possible to solve many structural problems such as the occurrence of a lot of errors involving misspelling which may occur during the learning of existing programming language, difficulty in grammatical expression and understanding, and difficulty in the expression of algorithm if the program learning tool of the department of computer education in a college of education is utilized as an educational robot. This study developed a learning model (curriculum and a textbook) so that students who major in computer education may easily learn programming by using the NXT software of a Mindstorms robot.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.507-513
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• 2022

This study developed a model for predicting the number of VOD uses of IPTV, an online market in the film industry. A machine learning-based prediction model was established using the VOD usage data collected by the Korean Film Council from 2017 to 2021. Through literature research and cluster analysis, the difference between the offline market and the online market is revealed, and a new category of VOD usage is proposed. The purpose is to help IPTV companies establish marketing strategies as well as support decision-making by developing a machine learning-based VOD usage prediction model.

• Journal of Platform Technology
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• v.10 no.4
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• pp.47-55
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• 2022

Recently, diverse devices using different wireless technologies are gradually increasing in the IoT environment. In particular, it is essential to design an efficient feature extraction approach and detect the exact types of radio signals in order to accurately identify various radio signal modulation techniques. However, it is difficult to gather labeled wireless signal in a real environment due to the complexity of the process. In addition, various learning techniques based on deep learning have been proposed for wireless signal classification. In the case of deep learning, if the training dataset is not enough, it frequently meets the overfitting problem, which causes performance degradation of wireless signal classification techniques using deep learning models. In this paper, we propose a generative adversarial network(GAN) based on data augmentation techniques to improve classification performance when various wireless signals exist. When there are various types of wireless signals to be classified, if the amount of data representing a specific radio signal is small or unbalanced, the proposed solution is used to increase the amount of data related to the required wireless signal. In order to verify the validity of the proposed data augmentation algorithm, we generated the additional data for the specific wireless signal and implemented a CNN and LSTM-based wireless signal classifier based on the result of balancing. The experimental results show that the classification accuracy of the proposed solution is higher than when the data is unbalanced.

• The Mathematical Education
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• v.59 no.1
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• pp.31-45
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• 2020

Despite the trend of the times and the government's efforts to implement policies, a number of students, having difficulties in learning math, are still growing. Reflecting this, many studies related to underachiever of learning mathematics were conducted in the field of mathematics education. Most of these studies, however, were intended to find the cause of underachievers of learning mathematics or experimental studies that applied the specific teaching procedures to the underachievers of learning mathematics and found their effectiveness in terms of academic achievement, compared it beforehand. Thus, in this study, 49 studies, from including theses and published journal papers from 2001, were meta-analyzed to find out how effective the teaching treatment for underachievers of learning mathematics has improved academic performance. As a result of this analysis, we found that teaching treatment generally have moderate effect sizes for children with having difficulties in learning mathematics. It was also possible to analyze the effect of various interventions and to obtain some suggestions on which circumstances the greatest effect could be achieved. Teaching treatments for underachiever of learning mathematics could have greater effectiveness in elementary school level, institution certified testing tool was used, targeted for each individual, taught by peer student, lasted for at least 8 weeks, and using teaching aids and ICT tools.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.55-63
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• 2019

Recently, the use of real-world image data has been increasing to express realistic virtual environments in various application fields such as education, manufacturing, and construction. In particular, with increasing interest in digital twins like smart cities, realistic 3D urban models are being built using real-world images, such as aerial images. However, the captured aerial image includes shadows from the sun, and the 3D city model including the shadows has a problem of distorting and expressing information to the user. Many studies have been conducted to remove the shadow, but it is recognized as a challenging problem that is still difficult to solve. In this paper, we construct a virtual environment dataset including the height map of buildings using 3D spatial information provided by VWorld, and We propose a new shadow detection method using height map and deep learning. According to the experimental results, We can observed that the shadow detection error rate is reduced when using the height map.

• 한국정보교육학회:학술대회논문집
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• 2005.08a
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• pp.295-303
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• 2005

현재 제 7차 교육과정에서는 1학년부터 정보통신소양교육이 이루어지고 있다. 그러나 컴퓨터 교수-학습방법에 대한 체계적인 논의가 다른 일반 교과에 비해 대단히 부족하다. 따라서 본 연구에서는 컴퓨터 교육의 특수성을 고려하여 교육현실에 맞는 교수학습방법 가운데 하나로 STAD협동학습모형을 적용한 정보통신소양교육의 교수학습 방안을 제시 하였다. STAD협동학습모형을 적용한 교수학습방법과 전통적 교수학습방법을 서로 비교하기 위해 학업 성취도, 활용도 면에서 어떠한 영향을 미치는지 살펴보고자 한다.

• Journal of Information Technology Applications and Management
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• v.9 no.1
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• pp.111-126
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• 2002

The purpose of this research is to study the effectiveness of applying Information technology to education, so-called education informatization. Education informatiantion consists of building information infrastructure, educational course operation and improvement of the teacher's ICT ( Information and Communication Technology) ability to consolidate and teach educational information development and diffusion. In this study, we've studied the effects of the use of IT on the improvement of student's class Participation and understanding level, We set the hypotheses and tested them. A method of teaching and learning using IT influences the degree of class participation. Educational courses and a method of teaching and learning have been proved to affect the understanding of a lecture. Also, we validated the educational effectiveness on the educational course and class teaching by setting WIS (Weighted least square) on the IT utilization time.