• Journal of information and communication convergence engineering
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• v.18 no.4
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• pp.230-238
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• 2020

This study aims to determine whether student participation on Twitter affects academic performance. The key goals of the training course were to acquire social networking knowledge and skills and to learn how to share information, be productive in discussions, and create an interest-based community. The initial sample comprised 286 students from Jordan universities, 68.4% of whom agreed to participate in the study. Undergraduate students accounted for 73.9%, and graduate students accounted for 26.1%. Only 14.3% of the students chose the Twitter-based learning model. This is a mixed-methods study that integrates quantitative and qualitative approaches. The undergraduate students were found to tweet more and have more likes, while graduate students had more followers and were following more accounts. Moreover, 21% of the participants were the most active. Spearman's correlation analysis revealed a connection between participation in social media and student performance. Therefore, the results of this study may help educational professionals and education managers.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.49-55
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• 2022

Hair styling has a significant influence on human social perception. An increasing number of people are learning hair styling and obtaining hair designer licenses. However, it takes a considerable amount of money and time to learn professional hairstyle and beauty techniques for hair styling. Since COVID-19, there has been a growing need for offline and video lectures due to the decline in onsite training opportunities. This study provides a field practice environment in which real hair beauty is performed in a virtual space. Further, the hairstyle that is most similar to the user's hair taken with a webcam or mobile phone is determined through an image matching system using the speeded up robust features (SURF) method. The matching hairstyle was created into a three-dimensional (3D) hair model. The created 3D hair model uses a head-mounted display (HMD) and a controller that enables finger tracking through mapping to reproduce the haircutting scissors' motion while providing a feeling of real hair beauty.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.13-14
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• 2021

본 논문은 생성모델의 학습데이터 제작기법에 대한 실험 및 결과와 향후 관련 연구의 방향을 기술한다. GAN으로 대표되는 생성모델이 아티스트에게 얼마만큼의 만족도와 영감을 주는지를 비교 실험 및 평가하기 위해서는 정제된 학습데이터가 필요하다. 하지만 현실적으로 아티스트의 작품은 데이터 세트를 만들기에는 그 수가 적고 인공지능이 학습하기에도 정제되어있지 않다. 2차 가공작업을 통하여 아티스트의 원본 작업과 유사한 데이터 세트의 구축은 생성모델의 성능향상을 위해 매우 중요하다. 연구의 결과 생성모델이 표현하기 어려운 스타일의 작가 작품을 선정한 뒤 최적의 학습데이터를 만들기 위한 다양한 실험과 기법을 통해 구축한 데이터 세트를 생성모델 알고리즘에 적용하고 실험을 통해 창작자의 작품제작 의도인 작가 진술에 최대한 유사한 이미지의 생성과 더 나아가 작가가 생각하지 못했던 창조적 모방의 결과물을 도출하였고 작가평가를 통해 높은 만족도를 얻었다.

• Annual Conference of KIPS
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• 2021.11a
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• pp.1242-1244
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• 2021

한국교통안전공단이 발표한 자료에 따르면 교통사고로 사망한 원인의 70%가 졸음운전이다. 최근에는 졸음운전을 예방하기 위해 눈 깜박임 인식 등의 운전자의 생체 데이터를 활용한 방법들이 대두되고 있다. 특히 운전자의 졸음운전 판단 기술로 뇌파를 이용하는 연구가 활발히 진행되고 있다. 본 논문에서는 뇌파를 사용하여 효과적으로 졸음 상태를 판단할 수 있는 딥러닝 알고리즘을 제안한다. 졸음 상태인 경우, 아닌 경우인 2가지의 운전자 상태를 85%의 정확도로 판단한다. 또한 제안한 알고리즘을 활용해 졸음운전 감지 시스템과 더불어 졸음운전 예방 시스템을 제안하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1858-1872
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• 2023

With the advance of radar technologies, the availability of synthetic aperture radar (SAR) images increases. To improve application of SAR images, a management system for SAR images is proposed in this paper. The system provides trainable land cover classification module and display of SAR images on the map. Users of the system can create their own classifier with their data, and obtain the classified results of newly captured SAR images by applying the classifier to the images. The classifier is based on convolutional neural network structure. Since there are differences among SAR images depending on capturing method and devices, a fixed classifier cannot cover all types of SAR land cover classification problems. Thus, it is adopted to create each user's classifier. In our experiments, it is shown that the module works well with two different SAR datasets. With this system, SAR data and land cover classification results are managed and easily displayed.

• 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.

• Journal of Korean Elementary Science Education
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• v.28 no.1
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• pp.35-45
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• 2009

We analyzed $3^{rd}$ graders' images of scientists and science learning students. We chose $3^{rd}$ graders because this is the time when children first encounter formal science learning opportunities. Draw-A-Scientist-Test (DAST) and the revised Draw-A-Scientist-Test Checklist (DAST-C) were used to analyze students' images of scientists, whereas Drawing-A-Science-Learner- and a checklist were used to analyze students' images of science learning students. We found that $3^{rd}$ graders showed common features of scientists who wore laboratory coats but not wearing glasses, goggles or masks and smiling. While most boys drew a male scientist, about a half of girls drew female scientists. Old and weird looking images of scientists that were typically known in other literatures were not found in this study. Science learning students were not wearing lab coasts, glasses, goggles, nor masks. Most of those students were conducting chemistry related experiments, which seemed to be influenced by the $3^{rd}$ grade's science curriculum. We also found relationships among components of images of scientists and science learning students. Although $3^{rd}$ graders' images of scientists and science learning students showed common features, this typical image was not the same as the previous studies have reported. This implies that the images of scientists and science learning students have not yet fixed by $3^{rd}$ grade. Thus, this seems to be a critical time when children start developing images of scientists. Children's direct experiences in the science classroom along with environmental factors such as media exposures can influence their formation of images of scientists and science learning students.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.983-987
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• 2009

One of the critical themes in the language acquisition is its exposure to linguistic environments. Linguistic environments, which interact with infants, include not only human beings such as its parents but also artificially crafted linguistic media as their functioning elements. An infant learns a language by exploring these extensive language environments around it. Based on such large linguistic data exposure, we propose a machine learning based method on the cognitive mechanism that simulate flexibly and appropriately infant's language learning. The infant's initial stage of language learning comes with sentence learning and creation, which can be simulated by exposing it to a language corpus. The core of the simulation is a memory-based learning model which has language hypernetwork structure. The language hypernetwork simulates developmental and progressive language learning using the structure of new data stream through making it representing of high level connection between language components possible. In this paper, we simulates an infant's gradual and developmental learning progress by training language hypernetwork gradually using 32,744 sentences extracted from video scripts of commercial animation movies for children.

• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.273-280
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• 2005

Teaching-learning activities in a school class is influenced by the development of a information science in the 21 century. Recently, the instruction in a school class use a multimedia teaching-learning contents chiefly. A great number of teachers don't recognize a foundation of the effects on teaching-learning contents utilizing multimedia. In this paper, I propose to analyze and verify the foundation of effects on cognitive psychology of multimedia teaching-learning contents. The principal method of this study is to synthesize and analyze researches of scholars or literature study largely. In this paper, the foundations of effects on multimedia teaching-learning contents are following: the dual encoding of information process, the skill on direction and speed-regulation of learning, and the others educational strength. The theoretical conviction in multimedia teaching-learning contents is operated as the confidence of education contents & media utilized by teachers and learners, and is anticipated as the growth of the quantitative and qualitative learning activities.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.420-424
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• 2016

Recently, with the development of Internet technology and multi-media technology, the Internet is going to develop in many areas, a new application areas. In particular, in the area of education, has made a Epoch-making development in the Internet applications, it has presented the instructional methods of the new paradigm. Study using the online learning, instructional method of a conventional traditional new proposal that deviates from the off-line teaching, Unlike the existing off-line learning, without being bound by time and space, in terms of anytime, anywhere it is possible to attend the lecture, is a very efficient learning. Online lectures Despite many advantages, and containing a number of problems. In terms of space of the learning is performed on-line, there is a disadvantage that the student management and learning, the reliability of evaluation missing number. In this study, out of such a variety of problems, concentration to induce an active learning attitude of learners, learners of learning who attempt to increase the reliability and using the face detection system of attendance learning It proposed a degree system.