• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.14 no.2
• /
• pp.27-40
• /
• 2003

In the society of lifelong learning, a school library has to play an important educational role in improving self-directed learning ability that school education is seeking. First of all, This study makes it clear that the goal of school library use education is to develop self-directed learning ability. It carries out a research into the present condition of school library use education which is an important educational role of a school library. Finally this study proposes some improvement plans in school library use education, as mentioned below : 1. Building an administration system of school library media center. 2. Re-establishing information literacy as culture education 3. Team teaching by a curriculum based approach

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.2-4
• /
• 2021

In a distributed machine learning system, sharing gradients was considered safe because it did not share original training data. However, recent studies found that malicious attacker could completely restore the original training data from shared gradients. Gradient Leakage Attack is a technique that restoring original training data by exploiting theses vulnerability. In this study, we present the image transformation method based on Discrete Cosine Transform to defend against the Gradient Leakage Attack on the federated learning setting, which training in local devices and sharing gradients to the server. Experiment shows that our image transformation method cannot be completely restored the original data from Gradient Leakage Attack.

• Korean Journal of Remote Sensing
• /
• v.34 no.6_3
• /
• pp.1415-1425
• /
• 2018

Kompsat-5 is the first Earth Observation Satellite which is equipped with an SAR in Korea. SAR images are generated by receiving signals reflected from an object by microwaves emitted from a SAR antenna. Because the wavelengths of microwaves are longer than the size of particles in the atmosphere, it can penetrate clouds and fog, and high-resolution images can be obtained without distinction between day and night. However, there is no color information in SAR images. To overcome these limitations of SAR images, colorization of SAR images using Cycle GAN, a deep learning model developed for domain translation, was conducted. Training of Cycle GAN is unstable due to the unsupervised learning based on unpaired dataset. Therefore, we proposed MS Cycle GAN applying multi-scale discriminator to solve the training instability of Cycle GAN and to improve the performance of colorization in this paper. To compare colorization performance of MS Cycle GAN and Cycle GAN, generated images by both models were compared qualitatively and quantitatively. Training Cycle GAN with multi-scale discriminator shows the losses of generators and discriminators are significantly reduced compared to the conventional Cycle GAN, and we identified that generated images by MS Cycle GAN are well-matched with the characteristics of regions such as leaves, rivers, and land.

• Journal of The Korean Association For Science Education
• /
• v.18 no.3
• /
• pp.427-441
• /
• 1998

The present study tested the hypothesis that adolescents' performance on scientific reasoning tasks and their ability to change theoretical concepts during instruction are mediated by prefrontal-cognitive functions, such as planning and inhibiting. Subjects sampled from four Korean secondary schools were administered a test of scientific reasoning ability and tests of the prefrontal lobe functions. A series of lessons on theoretical concepts was also administered. Subjects' performance on the test of scientific reasoning and pre- to posttest gains in the concept test were used as dependent variables. This study found that students' planning and inhibiting abilities were highly correlated with and they significantly predicted their scientific reasoning ability and conceptual gains. Further, principal component analysis showed prefrontal lobe functions were categorized into two main components. Component 1, which was loaded by planning and working memory functions, was termed as the representing process. Component 2, which was loaded primarily by the inhibiting functions, was termed as the inhibiting process. Scientific reasoning and conceptual change were also linked to these two components, indicating that these cognitive processes are mediated by both representing and inhibiting processes.

• Annual Conference on Human and Language Technology
• /
• 2020.10a
• /
• pp.27-31
• /
• 2020

본 논문에서는 BERT가 합성된 새로운 Transformer 구조를 제안한 선행연구를 보완하기 위해 cardinality residual connection을 적용한 새로운 구조의 모델을 제안한다. Transformer의 인코더와 디코더의 셀프어텐션에 BERT를 각각 합성한 모델의 잔차연결을 수정하여 학습 속도와 번역 성능을 개선하고자 한다. 그리고 가중치를 다르게 부여하는 실험으로 어텐션을 선택하는 효과적인 방법을 제시하고 원문의 언어에 맞는 BERT를 사용하는 이유를 설명한다. IWSLT14 독일어-영어 말뭉치와 AI hub에서 제공하는 영어-한국어 말뭉치를 이용한 실험에서는 제안하는 방법의 모델이 기존 모델에 비해 더 나은 학습 속도와 번역 성능을 보였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.1063-1064
• /
• 2023

인류는 주가를 과학적으로 예측하기 위해 수많은 학문적 노력을 기울여왔지만, 아직까지도 풀지 못한 난제로 남아 있다. 이에 본 연구에서는 깊은 수학적 원리에 기반하고 알파고 등에서 인간을 능가하는 성능을 보여준 강화학습 기술을 주식 트레이딩에 적용한 RLTA 모델을 제안하고, 실험을 통해 그 유용성을 입증하였다.

• Journal of Digital Convergence
• /
• v.16 no.3
• /
• pp.27-35
• /
• 2018

The purpose of this study is to design smart learning based extracurricular program of the university and to analyze the effect of core competencies. This program was formed by 10 teams with S and K University in Seoul, and run a daily camp format to use smart devices and apps. As a result, the participating students, communication skill, self-directed and creativity increased significantly. In addition, the educational effects of this program was positive changes in the areas of 'communication', 'self-directed', 'cooperative learning', 'problem solving' in the focus group interview. And the students responded that the use of smart devices and apps help to immerse in the program and increase their interest. The purpose of this study is to suggest new models and implications for the extracurricular program. In the future, we hope to develop the various smart learning based extracurricular programs for enhancing the competencies.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.11
• /
• pp.13-18
• /
• 2022

In this paper, we proposed VW-FedAVG(Validation based Weighted FedAVG) which updates the global model by weighting according to performance verification from the models of each device participating in the training. The first method is designed to validate each local client model through validation dataset before updating the global model with a server side validation structure. The second is a client-side validation structure, which is designed in such a way that the validation data set is evenly distributed to each client and the global model is after validation. MNIST, CIFAR-10 is used, and the IID, Non-IID distribution for image classification obtained higher accuracy than previous studies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.15-17
• /
• 2021

Handwriting recognition research is mainly focused on deep learning techniques and has achieved a great performance in the last few years. Especially, handwritten Thai digit recognition has been an important research area including generic digital numerical information, such as Thai official government documents and receipts. However, it becomes also a challenging task for a long time. For resolving the unavailability of a large Thai digit dataset, this paper constructs our dataset and learns them with some variants of the CNN model; Decision tree, K-nearest neighbors, Alexnet, LaNet-5, and VGG (11,13,16,19). The experimental results using the accuracy metric show the maximum accuracy of 98.29% when using VGG 13 with batch normalization.

• Journal of Digital Convergence
• /
• v.15 no.4
• /
• pp.243-250
• /
• 2017

Since the global financial crisis in 2008, countries around the world have emphasized the activation of entrepreneurship and entrepreneurship as essential strategies for survival. In the case of developed countries, the United States, the European Union and China actively promote entrepreneurship and entrepreneurship. In Korea, on the other hand, the importance of entrepreneurship is emphasized by stagnating growth of companies and strengthening their competitiveness through convergence within companies or companies. The purpose of this study is to investigate the relationship between entrepreneurship and learning orientation in order to enhance competitiveness of Korean companies and to be the basis of management strategy for growth of convergence companies based on this. For the progress of this study, the convergence companies were targeted and the hypothesis was verified through the questionnaire survey through the statistical program. The results of the study showed that Innovation influenced learning orientation. Second, Initiative was found to affect learning orientation. Finally, it is shown that risk sensitivity does not affect learning orientation.