• Title/Summary/Keyword: e-Learning

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Optical Implementation of Single-Layer Adaptive Neural Network for Multicategory Classification. (다영상 분류를 위한 단층 적응 신경회로망의 광학적 구현)

  • 이상훈
    • Proceedings of the Optical Society of Korea Conference
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    • 1991.06a
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    • pp.23-28
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    • 1991
  • A single-layer neural network with 4$\times$4 input neurons and 4 output neurons is optically implemented. Holographic lenslet arrays are used for the e optical interconnection topology, a liquid crystal light valve(LCLV) is used for controlling optical interconection weights. Using a Perceptron learning rule, it classifics input patterns into 4 different categories. It is shown that the performance of the adaptive neural network depends on the learning rate, the correlation of input patterns, and the nonlinear characteristic properties of the liquid crystal light valve.

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Development of a SMS Moodle Block (SMS 무들 블록 개발)

  • Park, Jong-Dae;Jang, Jin-Hoon
    • The Journal of Natural Sciences
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    • v.19 no.1
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    • pp.1-10
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    • 2008
  • A SMS Moodle plug-in block was developed for the Pai-Chai Moodle virtual learning environment. Professors can send SMS messages directly from their courses by using the SMS block. NuSOAP open source web service library was utilized for XML SOAP based message transfer.

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Development of an Adobe Connect Meeting Moodle Module (Adobe Connect Meeting 무들 모듈 개발)

  • Park, Jong-Dae;Jang, Jin-Hoon
    • The Journal of Natural Sciences
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    • v.19 no.1
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    • pp.11-25
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    • 2008
  • An Adobe Connect Meeting Moodle activity module was developed for the Pai-Chai Moodle virtual learning environment. Professors can create online meeting room directly from their courses by using the Adobe Connect Meeting module. The web services from the server was utilized for the application integration.

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A Study on ECG Oata Compression Algorithm Using Neural Network (신경회로망을 이용한 심전도 데이터 압축 알고리즘에 관한 연구)

  • 김태국;이명호
    • Journal of Biomedical Engineering Research
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    • v.12 no.3
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    • pp.191-202
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    • 1991
  • This paper describes ECG data compression algorithm using neural network. As a learning method, we use back error propagation algorithm. ECG data compression is performed using learning ability of neural network. CSE database, which is sampled 12bit digitized at 500samp1e/sec, is selected as a input signal. In order to reduce unit number of input layer, we modify sampling ratio 250samples/sec in QRS complex, 125samples/sec in P & T wave respectively. hs a input pattern of neural network, from 35 points backward to 45 points forward sample Points of R peak are used.

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Persian EFL Learners' Cross-Cultural Understanding and Their L2 Proficiency

  • Nasrabady, Azadeh Nasri;Rasekh, Abbass Islami;Biria, Reza
    • Cross-Cultural Studies
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    • v.24
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    • pp.62-83
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    • 2011
  • The totality of language learning comprises three integrated components: linguistic, cultural, and attitudinal (Wilkes, 1983).Positively sensitizing students to cultural phenomena is urgent and crucial. A positive attitude toward L2 culture is a factor in language learning that leads to cross cultural understanding. This research examined, through a survey analysis, how three groups of students (one high school group and two university student groups) viewed the role of their foreign culture (i.e., American and British cultures) in achieving cultural understanding. The focus was upon how EFL learners approach the target language culture as well as their own culture.

RULE-BASE SIZE-REDUCTION TECHNIQUES IN A LEARNING FUZZY CONTROLLER

  • Lembessis, E.;Tnascheit, R.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.761-764
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    • 1993
  • In this paper we consider techniques for reducing the generated number of rules in learning fuzzy controllers of the state-space action-reinforcement type that can be simply implemented and that behave well in the presence of process noise. Fewer rules lead to better performance, less contradiction in controller action estimation, smaller required execution-time and make it easier for a human to comprehend the generated rules and possibly intervene.

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A Comparative Analysis on the e-Business Adoption Factors and Performance in Large and Small Companies (e-비즈니스 채택요인과 성과에 관한 대기업과 중소기업의 차이분석)

  • Lee, Dong-Man;Ahn, Hyun-Sook;Kim, Hyo-Jung
    • The Journal of Information Systems
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    • v.17 no.4
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    • pp.157-180
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    • 2008
  • The majority of studies was undertaken on large companies that had adopted e-Business or on the specific case of dot.com companies. However, despite this interest in the effect of the size of an organization on its approach to e-Business, little direct comparison has been undertaken between small and large companies. This study examined the differences of e-Business adoption factors and e-Business performance between large and small companies. Reviewing the literature, we suggest a research model and develop nine hypotheses to be tested. Data are collected from 109 companies Implemented e-business. The results of hypothesis testing show as follows. First, e-Business performance of efficiency has a positive influence of perceived e-Business advantage, top management support, organizational learning ability and financial slack. Second, e-Business performance of sales performance has a positive influence of top management support. Third, e-Business performance of customer satisfaction has a positive influence of technology competence, perceived e-Business advantage, top management support, financial slack and institutional pressure. Finally, there are differences in the e-business factors(perceived e-Business advantage, top management support, institutional pressure) and e-Business performance(efficiency) between large and small companies.

An Implementation of Web-based E-portfolio Management System (웹기반 E-포트폴리오 관리시스템 개발)

  • Han, Sung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.5
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    • pp.37-44
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    • 2008
  • In recent years, e-portfolios and webfolios have been highly vaunted as the next great innovation in education. Hundreds of academic institutions are variously studying, using, or innovating e-portfolio systems. Despite the presumed goodness of e-portfolios, some problems remain. In this paper we review the existing e-portfolio management systems, and propose and implement a novel system to overcome the limits of the existing e-portfolio management systems. The propose e-portfolio management system has a structure of competition with others. All of the student's activities are accomplished and preserved within the same personal web space like a blog with mutual engagements and recommendations.

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A Study of e-Textbook Format Standardization Scheme for Smart Education Circumstance (스마트 교육환경을 위한 e-교과서 포맷 표준화 방안 연구)

  • Sohn, Won-Sung;Lim, Soon-Bum;Kim, Jae-Kyung
    • Journal of The Korean Association of Information Education
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    • v.16 no.3
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    • pp.327-336
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    • 2012
  • The Korea government has recently announced "A Master Plan for Smart Education", including application of digital textbooks and composition of education system using cloud computing. Our education system in future circumstance, over the conventional e-learning methods, needs the smart education solutions which enable students to study and communicate on various types of devices. The ongoing government project related with the digital textbook has been performed as mid- and long-term goals, whereas PDF-based e-textbook project, similar to e-book model and, has been already completed for the short-term goal. For the purpose of improved future smart education circumstance, however, a specific strategy is required in the following areas: flexibility of format conversion and independency of original text sources among the multiple device platforms. Therefore, in this paper, we propose a standardization scheme for e-textbook format based on e-book structure. To do this, we survey trends in e-book technologies, and research on standardization of e-book format for digitalization of textbooks, based on the analysis of existing textbooks. Moreover, we produce an example e-book content using our proposed standard method. As a result, our approach can be applied to the future smart education circumstance, and we may say that it will be efficiently applicable to the long-term digital textbook project.

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An Intelligent Video Streaming Mechanism based on a Deep Q-Network for QoE Enhancement (QoE 향상을 위한 Deep Q-Network 기반의 지능형 비디오 스트리밍 메커니즘)

  • Kim, ISeul;Hong, Seongjun;Jung, Sungwook;Lim, Kyungshik
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.188-198
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    • 2018
  • With recent development of high-speed wide-area wireless networks and wide spread of highperformance wireless devices, the demand on seamless video streaming services in Long Term Evolution (LTE) network environments is ever increasing. To meet the demand and provide enhanced Quality of Experience (QoE) with mobile users, the Dynamic Adaptive Streaming over HTTP (DASH) has been actively studied to achieve QoE enhanced video streaming service in dynamic network environments. However, the existing DASH algorithm to select the quality of requesting video segments is based on a procedural algorithm so that it reveals a limitation to adapt its performance to dynamic network situations. To overcome this limitation this paper proposes a novel quality selection mechanism based on a Deep Q-Network (DQN) model, the DQN-based DASH ABR($DQN_{ABR}$) mechanism. The $DQN_{ABR}$ mechanism replaces the existing DASH ABR algorithm with an intelligent deep learning model which optimizes service quality to mobile users through reinforcement learning. Compared to the existing approaches, the experimental analysis shows that the proposed solution outperforms in terms of adapting to dynamic wireless network situations and improving QoE experience of end users.