• Convergence Security Journal
• /
• v.10 no.3
• /
• pp.43-49
• /
• 2010

With the development of information and communications technology(ICT), the concept of ubiquitous that we can communicate regardless of time and place appears. Due to the development of the technology delivering information, current society is called intellectualization society developed from informatization society. The intellectualization society is based on knowledge accumulated by processing information. The education methods are also developed into a concept of u-Learning applying the concept of ubiquitous from the concept of e-Learning using a computer. The military also points out education as a key policy. The aspect of war is changing to NCW(Network Centric Warfare) from platform centric warfare. Therefore, collecting and managing the war situations in real time is a key to controlling command. To this end, it needs to maximize individuals and groups' ability to cultivate the military with cutting-edge knowledge. Therefore, this study aims to look into methods to apply u-learning system in training and military actions according to changes in war environments and ICT.

• Journal of The Korean Association of Information Education
• /
• v.13 no.1
• /
• pp.41-49
• /
• 2009

It's going to be ubiquitous environment which is able to use web pages independent of time and a place by recent development of mobile techniques. On this, we improved the leveled reading supporting system according to U-learning environment and make student to read on both Off-line and On-line through connecting to E-book service. So we developed the reading supporting system which can improve the interests in reading and reading skill and proved the effects. U-learning based leveled reading education support system could be helped develop the reading ability by raising the interest in the activities reading and after reading.

• Journal of The Korean Association of Information Education
• /
• v.13 no.2
• /
• pp.127-134
• /
• 2009

As wireless-internet and mobile computer revitalizes, various teaching and learning strategies are appearing. In this study, we suggest a new integrated teaching method in u-learning environment effectively. First of all, to apply information technique to education effectively, we grasped various educational factors centered on learners. And then, we categorized them into contents, time and space as three vital factors and analyzed. Next, by combining the important factors, we suggested the new integrated teaching and learning strategy. We also operated personalized the integrated teaching for elementary school students and verified the effect. As a result, we learned that the integrated teaching was effective in the area of higher-level thinking presented as an effectiveness index, learning motivation and self-directed learning. That is, this study will promote excellence in education centered on learners in the hereafter u-learning environment and support general integrated education effectively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.40 no.4
• /
• pp.251-260
• /
• 2022

Although the number of trees affected by pine wilt disease is decreasing, the affected area is expanding across the country. Recently, with the development of deep learning technology, it is being rapidly applied to the detection study of pine wilt nematodes and dead trees. The purpose of this study is to efficiently acquire deep learning training data and acquire accurate true values to further improve the detection ability of U-Net models through learning. To achieve this purpose, by using a filtering method applying a step-by-step deep learning algorithm the ambiguous analysis basis of the deep learning model is minimized, enabling efficient analysis and judgment. As a result of the analysis the U-Net model using the true values analyzed by period in the detection and performance improvement of dead pine trees of wilt nematode using the U-Net algorithm had a recall rate of -0.5%p than the U-Net model using the previously provided true values, precision was 7.6%p and F-1 score was 4.1%p. In the future, it is judged that there is a possibility to increase the precision of wilt detection by applying various filtering techniques, and it is judged that the drone surveillance method using drone orthographic images and artificial intelligence can be used in the pine wilt nematode disaster prevention project.

• Journal of Digital Convergence
• /
• v.9 no.4
• /
• pp.281-289
• /
• 2011

This paper provides the emerging flow of new communication technology using ubiquitous learning (u-Learning). In the intelligent Ubiquitous environment, humans and devices with computing abilities become interoperable. u-Learning will lead students to open their minds to the world and motivate self-learning, which may lead them to learn and communicate more efficiently, and save time, cost and energy. Through case research, regarding education, learning attitude, custom and, personal relations, one must solve the fundamental issues of misuse and outflow problems regarding personal information that will be widely collected in detail than the present condition, and in order for this not to happen, further support of the law and system, plus ethical perspectives must be considered in order to progress.

• Journal of The Korean Association of Information Education
• /
• v.11 no.2
• /
• pp.185-194
• /
• 2007

With the advent of ubiquitous society, the paradigm of education is also changing. In u-learning in ubiquitous environment, mobile devices such as cellular phone, PDA, PMP, UMPC and TPC will become important learning tools. Particularly if RFID, a key technology in ubiquitous society, is utilized in teaching-learning along with mobile devices, we can expect much more meaningful learning. The present study proposed four types of application of RFID to teaching.learning, which were RFID-card, RFID-book, RFID-label and RFID-test, and examined their possibility and effectiveness. According to the results of this study, technology was insufficient to support the application of RFID-label to teaching-learning and continuous research was required for modeling the application of RFID to teaching-learning.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.4 s.42
• /
• pp.27-33
• /
• 2006

In the near future, we can access information which we want, whenever we want, wherever we use. Because almost devices in ubiquitous environment are connected by either wired or wireless network. Especially, u-Learning emphasizing on pedagogical property is enable to improve learning abilities. As researches of the previous u-Learning. there have been learning by mobile devices such like PDAs as well as the smart classroom, which makes the remote students participate in the existing class. However, these researches have not satisfied pedagogical, cooperative and ubiquitous properties yet. Thus we suggest the framework for both local and mobile classroom, which can make the properties easy to satisfy.

• Journal of the Korean Society of Radiology
• /
• v.18 no.2
• /
• pp.93-99
• /
• 2024

The digital medical imaging, especially, computed tomography (CT), should necessarily be considered in terms of noise distribution caused by converting to X-ray photon to digital imaging signal. Recently, the denoising technique based on deep learning architecture is increasingly used in the medical imaging field. Here, we evaluated noise reduction effect according to various noise types based on the U-net deep learning model in the lung CT images. The input data for deep learning was generated by applying Gaussian noise, Poisson noise, salt and pepper noise and speckle noise from the ground truth (GT) image. In particular, two types of Gaussian noise input data were applied with standard deviation values of 30 and 50. There are applied hyper-parameters, which were Adam as optimizer function, 100 as epochs, and 0.0001 as learning rate, respectively. To analyze the quantitative values, the mean square error (MSE), the peak signal to noise ratio (PSNR) and coefficient of variation (COV) were calculated. According to the results, it was confirmed that the U-net model was effective for noise reduction all of the set conditions in this study. Especially, it showed the best performance in Gaussian noise.

• Journal of Korea Water Resources Association
• /
• v.54 no.5
• /
• pp.301-309
• /
• 2021

In this study, we tried to improve the performance of the existing U-net-based deep learning rainfall prediction model, which can weaken the meaning of time series order. For this, ConvLSTM2D U-Net structure model considering temporal consistency of data was applied, and we evaluated accuracy of the ConvLSTM2D U-Net model using a RainNet model and an extrapolation-based advection model. In addition, we tried to improve the uncertainty in the model training process by performing learning not only with a single model but also with 10 ensemble models. The trained neural network rainfall prediction model was optimized to generate 10-minute advance prediction data using four consecutive data of the past 30 minutes from the present. The results of deep learning rainfall prediction models are difficult to identify schematically distinct differences, but with ConvLSTM2D U-Net, the magnitude of the prediction error is the smallest and the location of rainfall is relatively accurate. In particular, the ensemble ConvLSTM2D U-Net showed high CSI, low MAE, and a narrow error range, and predicted rainfall more accurately and stable prediction performance than other models. However, the prediction performance for a specific point was very low compared to the prediction performance for the entire area, and the deep learning rainfall prediction model also had limitations. Through this study, it was confirmed that the ConvLSTM2D U-Net neural network structure to account for the change of time could increase the prediction accuracy, but there is still a limitation of the convolution deep neural network model due to spatial smoothing in the strong rainfall region or detailed rainfall prediction.

• Journal of The Korean Association of Information Education
• /
• v.12 no.2
• /
• pp.235-244
• /
• 2008

According to develop the computer and communication technology, recently educational environment is growing to ubiquitous learning with direction which select the studying content, studying time and a studying order oneself. In order to raise effect of studying in the ubiquitous learning(u-Learning), the help or advice of the specialist is necessary earnestly. Accordingly, if it will combine the scaffolding and the mentoring in the u-Learning, a studying effect will be maximize. This paper design the u-SM(Scaffolding and Mentoring) teaching and learning model which applies the scaffolding and e-mentoring. In addition, it embodies and applies the designed u-SM model. Then it examines it affects in studying achievements and attitudes of students and verifies the application possibility of the u-SM teaching and learning.