• The Transactions of the Korea Information Processing Society
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• v.4 no.3
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• pp.698-708
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• 1997

To construct distance learing servers and provide their service using the WWW(World Wide Web), it is necessary that we use a real-time processing mehtod rather than the processing after downloading method for multimedia data transmission and their processing.To fulfill such requirements, we developed a real-time processing muduloe for distance education which can process multimedia data in AVI and WAV formats in distrbuted eviroments.We in turn developede a real-time WWW server that can provide real-time services of hypertxt and motion poctures data in temsw of adding the real-time porcessing modute to the MuX framework and intergarting them with WWW. We frnally developed as distance lerming system for real-time interactive chinese character learming, bassed on the results from the pre-vious steps.

• Annual Conference on Human and Language Technology
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• 2006.10e
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• pp.15-21
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• 2006

본 논문에서는 올바른 한국어 생활과 한국어 실력 향상을 위하여, 한국어 어휘에 대한 풍부한 정보를 담고 있는 한국어사전, 사용자 어휘지능망(User-Word Intelligent Network : U-WIN)등의 언어자원을 이용한 자동문제생성기술을 소개하고, 이를 이용한 한국어 어휘학습시스템을 제시한다. 대부분의 학습시스템에서 사용하는 문제 은행식 출제 방식의 문제점을 해소할 수 있는 하나의 방법으로서, 기존의 한국어 어휘문제의 문항을 분석하여 8가지 문제 유형으로 재편성하고, 각 유형별 자동 문제 생성패턴에 따라 언어자원이 가지고 있는 한국어 어휘의 형태적 정보, 의미적 정보를 이용하여 한국어 어휘 문제를 자동 출제하는 한국어 어휘학습시스템을 구현하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.5
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• pp.472-479
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• 1999

In this paper, we propose a land cover pattern classifier for remote sensing image by using neuro-fuzzy algorithm. The proposed pattem classifier has a 3-layer feed-forward architecture that is derived from generic fuzzy perceptrons, and the weights are con~posed of h u y sets. We also implement a neuro-fuzzy pattern classification system in the Visual C++ environment. To measure the performance of this, we compare it with the conventional neural networks with back-propagation learning and the Maximum-likelihood algorithms. We classified the remote sensing image into the eight classes covered the majority of land cover feature, selected the same training sites. Experimental results show that the proposed classifier performs well especially in the mixed composition area having many classes rather than the conventional systems.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.4
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• pp.3-12
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• 2009

In recent years, the development of ubiquitous computing environment, according to the time, place, regardless of the environment changes dynamically based on providing a service. In particular, ubiquitous computing environment, education support services in the fields of education according to the principal of each member is required to provide personalized information. Therefore, this paper describes the education support system which provide adaptive information to member of education. The structure of the proposed system consists of mobile agents multi-agent system platform, JADE (Java Agent DEvelopment framework) is based. Also, we describes the design of agents for application services and the interaction model. In this paper, the performance of proposed system to verify availability, classroom teachers, students and parents and administrators as a service application based on the user's role to provide appropriate information system was implemented. Finally, we shows the result of user interface GUIs according to adaptive education services.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.393-399
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• 2012

New and creative skills must be developed, and adapted into a lesson, to motivate learners to acquire a second language easily and enjoyment, Multimedia tools which are of interest to learners, such as; smart phones, computers, and notebooks with wireless internet compatability, will provide learners opportunities to study, and do their work practically anywhere and anytime. Recently, podcasts, which are a type of digital media, consisting of a series of audio episodes or video files, subscribed to and downloaded through web syndication, or streamed online to a computer or mobile device, are used to facilitate ESL (English as a Second Language) learning. Development of a variety of teaching methods, using multimedia tools, is needed. There are advantages and disadvantages to using a variety of multimedia tools. The current research aims to study its characteristics and application, in order to maximize their effective use, in English education. The current study suggests a ubiquitous learning environment using multimedia content tools, internet media, video teleconferencing, cyber-learning, and one-to-one videos used in conjunction with, or as a digital textbook for the English lesson. This study also investigates future educational changes, using state-of-the-art equipment for the self-learning experience, and will present a new direction in English education, through a variety of instructional devices and a marginalized class system model.

• The Journal of Korean Philosophical History
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• no.38
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• pp.63-96
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• 2013

$L{\ddot{u}}Zuqian$(呂祖謙) was one of the famous philosophers during the Southern Song period, and is called one of DongNamSanXian(東南三賢) together with ZhuXi(朱熹) and ZhangShi(張?). With his profound knowledge transmitted and uphold by JiaXue(家學), $L{\ddot{u}}Zuqian$(呂祖謙) established his learning system, interacting with scholars of those days. Principally, $L{\ddot{u}}Zuqian$(呂祖謙)'s XinLun(心論) was based on Mengzi(孟子)' theory of LiangXin(良心) and BenXin(本心). $L{\ddot{u}}Zuqian$(呂祖謙) explained the meaning of such a conscience through ChuXin(初心) and Inner NeiXin(內心). According to $L{\ddot{u}}Zuqian$(呂祖謙), ChuXin(初心) arouses when one encounters external things, and this one's intention enables us to make the right judgments over the outside objects. NeiXin(內心) means LiangXin(良心) and BenXin(本心) that recovered the ability of moral awareness. The important significances of $L{\ddot{u}}Zuqian$(呂祖謙)'s XinLun(心論) are XinWai WuDao(心外無道), and XinWaiWuTian(心外無天). Through these, $L{\ddot{u}}Zuqian$(呂祖謙) emphasized that Tian(天), Dao(道), and Li(理) are one. $L{\ddot{u}}Zuqian$(呂祖謙) arranged a meeting of EHuSi(鵝湖寺), and exerted efforts to negotiate the academic differences between ZhuXi(朱熹) and LuJiuyuan(陸九淵). However, compared with LuJiuyuan(陸九淵) who asserted FaMingBenXin(發明本心), $L{\ddot{u}}Zuqian$(呂祖謙) put the emphasis on DaoWenXue(道問學) with self-awareness of conscience. Meanwhile, $L{\ddot{u}}Zuqian$(呂祖謙) valued much of Jing(敬) like ZhuXi(朱熹). But, to $L{\ddot{u}}Zuqian$(呂祖謙), Jing(敬) meant WuJianDuan(無間斷) of ChunYiBuZa(純一不雜) DaoDeXin(道德心), and implied the same as Cheng(誠). $L{\ddot{u}}Zuqian$(呂祖謙) stressed the reading and pursuit of study, however, he also asserted that Li(理) could be understood and realized through self-awareness of one's mind and its reflection, and working without interruption. $L{\ddot{u}}Zuqian$(呂祖謙)'s academic tradition of the XinXueDe XueFeng(心學的 學風), which reveals through compromise and confrontation with ZhuXi(朱熹), can be said that it will have a significant meaning of idealism of dispute in the Southern Song period.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.101-113
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• 2021

In this paper, we introduce a speaker overlap system and look at the process of converting the existed system on the specific framework of artificial intelligence. Speaker overlap is when two or more speakers speak at the same time during a conversation, and can lead to performance degradation in the fields of speech recognition or speaker recognition, and a lot of research is being conducted because it can prevent performance degradation. Recently, as application of artificial intelligence is increasing, there is a demand for switching between artificial intelligence frameworks. However, when switching frameworks, performance degradation is observed due to the unique characteristics of each framework, making it difficult to switch frameworks. In this paper, the process of converting the speaker overlap detection system based on the Keras framework to the pytorch-based system is explained and considers components. As a result of the framework switching, the pytorch-based system showed better performance than the existing Keras-based speaker overlap detection system, so it can be said that it is valuable as a fundamental study on systematic framework conversion.

• Journal of the Korea Society of Computer and Information
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• v.16 no.9
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• pp.97-105
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• 2011

This paper proposes a new "Live Book Service" that is combined the analog contents such as paper books and digital contents with various digital multimedia elements, and this service can project the additional digital multimedia contents on the analog paper. Also, we developed a monolithic stand type system which is composed of camera and pico projector, so that it can demonstrate the proposed contents. We also devised the low computational cost algorithm in bare-hands recognition which can be used as the interface between the system and users. In addition, to recognize the bare-hands which can be used as the interface between the digital and users, we make the low cost algorithm. Therefore this can be the interaction between the system and users. As a result, our proposed system can be used as a useful tool for various e-book or u-learning fields that requires high efficiency and much immersion.

• Korean Journal of Remote Sensing
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• v.39 no.5_3
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• pp.949-965
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• 2023

In this study, we propose a method to monitor the surface area of agricultural reservoirs in South Korea using Sentinel-1 synthetic aperture radar images and the deep learning model, Swin Transformer. Utilizing the Google Earth Engine platform, datasets from 2017 to 2021 were constructed for seven agricultural reservoirs, categorized into 700 K-ton, 900 K-ton, and 1.5 M-ton capacities. For four of the reservoirs, a total of 1,283 images were used for model training through shuffling and 5-fold cross-validation techniques. Upon evaluation, the Swin Transformer Large model, configured with a window size of 12, demonstrated superior semantic segmentation performance, showing an average accuracy of 99.54% and a mean intersection over union (mIoU) of 95.15% for all folds. When the best-performing model was applied to the datasets of the remaining three reservoirsfor validation, it achieved an accuracy of over 99% and mIoU of over 94% for all reservoirs. These results indicate that the Swin Transformer model can effectively monitor the surface area of agricultural reservoirs in South Korea.

• The Mathematical Education
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• v.39 no.2
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• pp.151-166
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• 2000

The purpose of this study is to understand what two models of SOLO taxonomy and van Hiele theory suggest and find out what relation there is between the category system of the SOLO taxonomy and the thinking level of the van Hiele theory. The van Hiele theory describes in line of ranking level so that it may increase the teaching effects by putting together a class, which takes into consideration the students thoughts. The SOLO taxonomy focused on the response mode of the students rather than the thinking level or the developmental stage of them to pursuit the method that can describe the students understanding in depth quality-wise. Although the SOLO taxonomy and the van Hiele model seem to have different form and character from outside in terms of their goals, a closer examination reveals that the two stances have much in common and that the models are complementary. Although the van Hiele placed more focus on the thoughts, because the conclusion was based on the students responses, the van Hiele theory can be interpreted within the structure identified in the SOLO model. In this study, we have tried to understand how the response structure form the SOLO taxonomy and the thinking level of the van Hiele theory are related, based on the studies of Pegg and Davery1998). If you briefly look at them, there are following corresponding relation between the SOLO taxonomy and the van Hiele theory. a) The relational level(R) in iconic moe is van Hiele level 1. b) The multisturctural level(M$_2$) in the second cycle of concrete-symbolic mode is van Hiel level 2. c) The relation level(R$_2$) in the second cycle of concrete-symbolic mode is van Hiele level 3. d) The unistructural level(U$_2$) in the second cycle of formal mode is van Hiele level 4. e) The postformal mode is van Hiele levle 5. Though it would be difficult to conclude that these correspondences were perfectly done, if you look at their relation, you can see that the learning process of the students were not carried out uniformly. Therefore, by studying the students response structure, using the SOLO taxonomy, and identifying the learning cycle and understand the geometrical concept more in depth.