• Title/Summary/Keyword: 이러닝 표준

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The KEM OWL Binding (KEM과 OWL의 바인딩)

  • Chang, Byung-Chul;Cha, Jae-Hyuk;Ham, Dall-Ho
    • Journal of Digital Contents Society
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    • v.7 no.2
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    • pp.125-131
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    • 2006
  • In the recent year, the need for effective searching for e-learning contents has emerged as a revitalization of e-learning. Therefore, there are many studies for the contents searching method that make use of semantic web technology. Also, there are many studies to apply the ontology as the core technology of sematic web to e-learning. In this study, we bind the KEM(Korea Education Metadata) that enacted as the first technical standard of e-learning, KS X7001, in Dec. 2004 with OWL to use the metadata for a effective searching with ontology through the solving of the problem of metadata. And, we discuss some problems that occur in progress of binding and the solutions.

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Developing e-Learning Contents Based on SCORM 2004 (SCORM 2004 기반 e-러닝 콘텐츠 설계 및 구현)

  • Choi, Yong-Suk;Ko, Bo-Young;Lee, Ka-Young
    • Journal of Digital Contents Society
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    • v.10 no.1
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    • pp.107-113
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    • 2009
  • Recently, a number of research efforts have been taken to enhance interoperability and reusability of e-learning contents by developing ADL SCORM 2004 compliant contents. For useful and effective learning contents, content devlopers have to build the strategy of content sequencing in the phase of instructional design. However, many developers have difficulties in understanding the complicated specification of SCORM 2004 S&N(Sequencing&Navigation) and implementing SCORM sequencing. In this paper, we develop SCORM 2004 based best-practice sample contents utilizing SCORM sequencing and thus present a reference guide to the design and implementation of SCORM 2004 contents. It is expected that our sample contents illustrate an effective and useful application of SCORM 2004 as a de-facto e-learning standard, domestically and also internationally.

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Implementation of Computer Vision and Deep Learning-Based Golfer Pose-Estimation System And Coaching System (컴퓨터 비전과 딥러닝 라이브러리 기반 골퍼 자세 판단 및 코칭 시스템)

  • Byeon, Woo-Jin;Shim, Young-Seon;You, Hye-Seung;Kang, Seokhun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.1040-1043
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    • 2020
  • 본 논문에서는 골퍼의 자세 교정을 위해 레슨 프로 혹은 코치가 수행하는 교육을 담당하는 시스템을 구현한다. 이 시스템은 골프를 배우고자 하는 골퍼와 자세를 교정하고자 하는 골퍼를 대상으로 한다. 프로 골퍼의 스윙자세 영상을 촬영하고 딥러닝 라이브러리로 관절, 클럽의 위치를 디지털로 식별하여 표준 자세 정보를 입수한다. 그리고 사용자의 영상을 촬영하여 표준자세 정보와 비교 후 올바른 자세를 도표 및 시각적으로 제공 할 수 있도록 한다. 사람이 하는 방식 보다 객관적이고, 센서방식 보다 경제적인 시스템으로 골프교육산업의 활성화에 기여 할 수 있을 것이다.

Survey on Deep learning-based Content-adaptive Video Compression Techniques (딥러닝 기반 컨텐츠 적응적 영상 압축 기술 동향)

  • Han, Changwoo;Kim, Hongil;Kang, Hyun-ku;Kwon, Hyoungjin;Lim, Sung-Chang;Jung, Seung-Won
    • Journal of Broadcast Engineering
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    • v.27 no.4
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    • pp.527-537
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    • 2022
  • As multimedia contents demand and supply increase, internet traffic around the world increases. Several standardization groups are striving to establish more efficient compression standards to mitigate the problem. In particular, research to introduce deep learning technology into compression standards is actively underway. Despite the fact that deep learning-based technologies show high performance, they suffer from the domain gap problem when test video sequences have different characteristics of training video sequences. To this end, several methods have been made to introduce content-adaptive deep video compression. In this paper, we will look into these methods by three aspects: codec information-aware methods, model selection methods, and information signaling methods.

Deep learning-based approach to improve the accuracy of time difference of arrival - based sound source localization (도달시간차 기반의 음원 위치 추정법의 정확도 향상을 위한 딥러닝 적용 연구)

  • Iljoo Jeong;Hyunsuk Huh;In-Jee Jung;Seungchul Lee
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.2
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    • pp.178-183
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    • 2024
  • This study introduces an enhanced sound source localization technique, bolstered by a data-driven deep learning approach, to improve the precision and accuracy of direction of arrival estimation. Focused on refining Time Difference Of Arrival (TDOA) based sound source localization, the research hinges on accurately estimating TDOA from cross-correlation functions. Accurately estimating the TDOA still remains a limitation in this research field because the measured value from actual microphones are mixed with a lot of noise. Additionally, the digitization process of acoustic signals introduces quantization errors, associated with the sampling frequency of the measurement system, that limit the precision of TDOA estimation. A deep learning-based approach is designed to overcome these limitations in TDOA accuracy and precision. To validate the method, we conduct comprehensive evaluations using both two and three-microphone array configurations. Moreover, the feasibility and real-world applicability of the suggested method are further substantiated through experiments conducted in an anechoic chamber.

Method of Scholarship Recognition for the Adult Disable by e-learning (이러닝을 통한 성인 장애인의 학력인정 방안)

  • Ahn, Seong-Hun
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.252-258
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    • 2008
  • There are 2,100,000 disabled peoples in korea. 62% of them didn't graduate from high school. Because their low scholarship has been negative influence on economic life, We have to prepare a measure for raising their scholarship. Therefore, in this paper I propose a measure that the scholarship of the disable will be raise. That is to establish a Air & Correpondence High School at special school. Also I propose a measure that the disable have access to internet easier than now. That is to make a technology standard and a content for the disable.

Developing a Platform of Platform for Disaster Technology and Information Sharing (재난기술·정보 공유를 위한 글로벌체계 플랫폼 개발)

  • Lee, Young Jai
    • Journal of Korean Society of Disaster and Security
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    • v.5 no.1
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    • pp.13-19
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    • 2012
  • This paper introduces platform of platform (POP) for global network on climate adaptation change and disaster risk reduction (CCA/DRR). The POP consists of disaster prevention technology e-market platform, e-learning platform, information sharing platform, and monitoring platform for AMCDRR action plan. The POP is developing based on Korean e-Government standard framework and supports Web and mobile service. Additionally the POP uses special product and technology to search and classify data about CCA/DRR.

Medical Dataset Management System for Artificial Intelligence-Based Clinical Research (인공지능 기반의 임상연구를 위한 의료 데이터 셋 관리 시스템)

  • Pak, Min-Gi;Han, Seong-Min;Kim, Seung-Jin;lee, Chung-Sub;Kim, Tae-Hoon;Jeong, Chang-Won;Yoon, Kwon-Ha
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.40-43
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    • 2019
  • 본 논문은 국제표준화인 OHDSI OMOP-CDM 의 확장으로 의료영상 표준기반으로 한 관리시스템에 대해 기술한다. 이를 위해 기존 공통데이터모델과 연계에 중점을 두어 DICOM 메타태그정보 기반의 의료영상 표준 모델의 스키마를 제시한다. 이를 기반으로 머신러닝 기술개발을 위한 데이터 셋 생성과 관리를 위한 웹 기반 시스템 구조와 기능에 대해서 기술한다. 끝으로 구현된 시스템에서 제공하는 웹 서비스 수행 결과를 보인다.

Design and Implementation of Effective E-Learning Education Contents Considering Multi-Platform Environment (다중 플렛폼 환경을 고려한 효율적인 이러닝 교육 콘텐츠 설계 및 구현에 관한 연구)

  • Choi, Sung-Wook;Choi, Min-Seok
    • The Journal of the Korea Contents Association
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    • v.12 no.4
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    • pp.1-9
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    • 2012
  • The purpose of this study is to present a methodology to effectively produce the e-learning contents in two platform types of PC based and mobile based platforms. Currently, the compatibility problem of flash technology widely used in the e-learning content production of existing PC based platform not supporting flash in some mobile platforms is being created while the condition of accompanying inconvenience in learning due to small screen and difference of input interface is being created in case of using the contents for PC even in case of the mobile platforms in which flash is supported. Considering this situation, this study is presenting a content development methodology that can provide services in both platform types based on standard technologies such as HTML 5. In conclusion, the methodology proposed in this study separates the content and the view of learning contents while supporting to enable content implementation using various forms of views based on the content database that has been constructed to show very efficiently characteristics in the content reuse and the multi platform support categories.

Design and Implementation of The Ubiquitous Computing Environment-Based on Dynamic Smart on / off-line Learner Tracking System (유비쿼터스 환경 기반의 동적인 스마트 온/오프라인 학습자 추적 시스템 설계 및 구현)

  • Lim, Hyung-Min;Lee, Sang-Hun;Kim, Byung-Gi
    • Journal of Korea Multimedia Society
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    • v.14 no.1
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    • pp.24-32
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    • 2011
  • In ubiquitous environment, the analysis for student's learning behaviour is essential to provide students with personalized education. SCORM(Sharable Contents Object Reference Model), IMS LD (Instructional Management System Learning Design) standards provide the support function of learning design such as checking the progress. However, in case of applying these standards contain many problem to add or modify the contents. In this paper, We implement the system that manages the learner behaviour by hooking the event of web browser. Through all of this, HTML-based content can be recycled without any additional works and the problems by applying the standard can be improved because the store and analysis of the learning result is possible. It also supports the ubiquitous learning environment because of keeping track of the learning result in case of network disconnected.