• Asia pacific journal of information systems
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• 제31권1호
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• pp.102-120
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• 2021

E-learning is a planned effort towards providing interactive and experiential learning having flexibility in terms of time, place, pace, participation and accessibility. Globalization has set the stage for a social transformation of the world economy driven by technological innovation, emphasizing knowledge-based processes. While the tertiary education enrolments in wealthy nations have gone up incrementally, the same cannot be said to be right about developing economies. E-Learning can streamline enrolments to higher education, in developing nations by being a cost-effective and flexible alternative. The objective of this paper is to draw attention to the similarities in the national culture of these two countries and compare students' perception on e-learning in India and Sri Lanka along eight dimensions viz., viability, dependability, flexibility, inclusivity, power, pertinence, challenge and equitability. The results reveal that e-learning is equally popular among students from both countries, and they have a high perception score towards e-learning on each of the measured eight dimensions. Hence results are indicative of an opportunity of tapping the potential of e-learning in reaching out to a broader audience of underprivileged students and onboarding them into the knowledge economy.

• International Journal of Advanced Culture Technology
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• 제12권1호
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• pp.227-233
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• 2024

This study was conducted to understand the essential structure and meaning of the experience of participating in the Jigsaw class designed to achieve the learning goals for nursing students with different basic learning abilities, and to prepare a plan for each individual to learn as a collaborator rather than a competition with each other. As a study based on Giorgi's phenomenological research method and in-depth interviews, data collection was collected from 10 study participants from December 1, 2023 to December 20, 2023. The main question used in the interview was "What impressed you after participating in Jigsaw teaching meathod?" The transcribed data were analyzed through the stages of overall recognition, classification of semantic units, transformation of semantic units into psychological expressions, and integration into general structures according to Giorgi's qualitative analysis method. As a result, a total of 89 semantic units, 35 essential psychological meanings, 13 sub-components, and 6 components were derived. The six components include 'good communication', 'difference appear in material preparation', 'easy to understand', 'finding team members who form a learning atmosphere well', 'A talkative class', and 'Unprepared team members are uncomfortable'. Based on the above results, it is expected that students in a passive position in class will become teachers themselves, take responsibility for preparing for learning, and provide useful basic data for developing programs that cooperate among students.

• 센서학회지
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• 제11권4호
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• pp.239-246
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• 2002

In this paper a new design of multi-layer perceptron(MLP) for camera calibration is proposed. Most existing techniques determine a transformation from 3D spatial points to their image points and camera parameters are tried to be estimated from the transformation. The technique proposed here, on the other hand, determines rays of sight uniquely from image points and parameters are estimated from the relationship using an MLP. By this approach projection and back-projection can be done more straightforwardly. Being based on a geometric model, a network design process becomes less ambiguous, which is a clear merit compared to other neural net based techniques. An MLP designed according to the technique proposed showed fast and stable learning in tests under various conditions.

• 한국인터넷방송통신학회논문지
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• 제22권4호
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• pp.157-163
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• 2022

최근 산업 분야 자동화의 발전에 따라 이상 징후 검출에 대한 연구가 활발하게 진행 중이다. 공장 자동화에 사용되는 이상 징후 검출의 응용분야로 카메라를 사용한 결함 검사가 있다. 비전 카메라 검사는 공장 자동화에서 높은 성능과 효율성을 보이지만, 조명과 환경조건의 불안정성을 극복하기가 어렵다. 딥러닝을 이용한 카메라 검사가 훨씬 더 높은 성능을 보이면서 비전 카메라 검사의 문제를 해결할 수 있지만 학습을 위해 엄청난 양의 정상 데이터 및 비정상 데이터를 요구하기 때문에 실제 산업 분야에 적용하기가 어렵다. 따라서 본 연구는 정상 데이터만을 사용한 72개의 기하학적 변환 딥러닝 방법으로 비정상 데이터 수집 문제를 극복하고, 성능 개선을 위한 특이치 노출 방법을 추가한 네트워크를 제안한다. 이를 자동차 부품 데이터 및 이상치 검출용 데이터베이스인 MVTec 데이터 셋에 적용하고 검증함에 의해 실제 산업 현장에서 적용할 수 있음을 보인다.

• 스마트미디어저널
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• 제5권3호
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• pp.35-41
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• 2016

본 논문에서는 심층 학습 모델 방법을 이용하여 EPS(Electronic Potential Sensor) 기반의 손동작 신호를 인식하는 시스템을 제안한다. 전기장 기반 센서인 EPS로부터 추출된 신호는 다량의 잡음이 포함되어 있어 이를 제거하는 전처리과정을 거쳐야 한다. 주파수 대역 특징 필터를 이용한 잡음 제거한 후, 신호는 시간에 따른 전압(Voltage) 값만 가지는 1차원적 특징을 지닌다. 2차원 데이터를 입력으로 하여 컨볼루션 연산을 하는 알고리즘에 적합한 형태를 갖추기 위해 신호는 차원 변형을 통해 재구성된다. 재구성된 신호데이터는 여러 계층의 학습 층(layer)을 가지는 심층 학습 기반의 모델을 통해 분류되어 최종 인식된다. 기존 확률 기반 통계적 모델링 알고리즘은 훈련 후 모델을 생성하는 과정에서 초기 파라미터에 결과가 좌우되는 어려움이 있었다. 심층 학습 기반 모델은 학습 층을 쌓아 훈련을 반복하므로 이를 극복할 수 있다. 실험에서, 제안된 심층 학습 기반의 서로 다른 구조를 가지는 컨볼루션 신경망(Convolutional Neural Networks), DBN(Deep Belief Network) 알고리즘과 통계적 모델링 기반의 방법을 이용한 인식 결과의 성능을 비교하였고, 컨볼루션 신경망 알고리즘이 다른 알고리즘에 비해 EPS 동작신호 인식에서 보다 우수한 성능을 나타냄을 보였다.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.179-183
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• 2020

The online education platform market is developing rapidly after the coronavirus infection-19 pandemic. As school classes at various levels are converted to non-face-to-face classes, interest in non-face-to-face online education is increasing more than ever. However, the majority of online platforms currently used are limited to the fragmentary functions of simply delivering images, voice and messages, and there are limitations to online hands-on training. Indeed, digital transformation is a traditional business method for increasing coding education and a corporate approach to service operation innovation strategy computing thinking power and platform model. There are many ways to evaluate a computer programmer's ability. Generally, piecemeal evaluation methods are used to evaluate results in time through coding tests. In this study, the purpose of this study is to propose a comprehensive evaluation of not only the results of writing, but also the execution process of the results, etc., and to evaluate the programmer's propensity habits based on the programmer's coding experience to evaluate the programmer's ability and productivity.

• 공학교육연구
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• 제25권5호
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• pp.44-54
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• 2022

The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.

• 대한수학교육학회지:수학교육학연구
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• 제14권3호
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• pp.221-237
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• 2004

본 연구는 개념적 은유의 분석을 통해 RME 기반 대학 미분방정식 수업에 참여한 학생들의 개념적 모델의 변환을 탐구하였다. 분석 결과 학기초 이산적이고 양적인 개념적 모델이 학생들의 수학적 토의 맥락에서 지배적이었으나 맥락문제탐구에 기반한 수학적 의미의 재조정 과정을 통해 연속적이고 질적인 사고를 반영하는 개념적 모델이 발생하여 기존의 개념적 모델이 확장됨이 밝혀졌다. 이와 같은 개념적 모델의 변환은 본 프로젝트 교실 참여가 학생들의 미분방정식에 대한 문제해결적 사고의 유연성을 증대시키는데 기여하였음을 보여준다. 이와 같은 분석 결과에 기초하여, 본 논문은 학생들의 개념적 모델의 변환을 촉발한 교수학적 요소에 대한 논의를 통해 학생들의 개념적 모델 변환이 가지는 사회문화적 의미를 조명하고 RME 기반 수학 수업 모델의 학교 현장 적용에 유용한 시사점을 제공하였다.

• 한국콘텐츠학회논문지
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• 제20권1호
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• pp.192-201
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• 2020

5G 상용화가 교육분야의 변화에도 영향을 줄 것으로 전망된다. 본 연구는 5G로 인한 미래 대학교육 시나리오를 단말유형, 학습분야, 학습콘텐츠, 학습장소, 이용요금지불 등 5가지 속성(attributes)과 세부 수준(levels) 별로 구체화하였다. 그리고 이들 특성을 반영한 5G 기반 대학교육 혁신 서비스 이용의향과 선호도를 대학생 102명 대상으로 컨조인트 방법을 통해 분석하였다. 분석결과 5G 교육서비스에 대한 대학생의 이용의향은 86%로 높게 나타났으며, 이용요금형태(37%), 학습분야(26%), 학습콘텐츠(24%), 단말유형(8%), 학습장소(5%) 순으로 중요하게 고려하였다. 특히 속성별 각 수준에서 스마트 기기, 체험형 학습콘텐츠(Practice and experienceable), 언제 어디서나 활용할 수 있는 학습, 실습중심 과목(Practice-oriented subject), 무료이용(Cost free)에 대한 선호가 상대적으로 높은 것으로 나타났다. 본 연구는 4차 산업혁명 시대 대학교육 혁신 방안으로 5G 확산과 활용 전략을 마련하는데 기초자료와 전략적 시사점을 제공해 준다.

• International Journal of Quality Innovation
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• 제7권1호
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• pp.195-205
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• 2006

Both the total quality management (TQM) and learning organization (LO) appear to be promising approaches for organizational transformation towards a more effective, efficient, and responsive organization in the past. The evolutionary development and theory supports for these two fields are distinct but they appear to have more in common than they have in distinctiveness. However, there is little synergy developed between these two fields both in academic research and industrial applications. It is possibly due to the fact that both the academia and industry are taking a limiting polarized view of TQM and LO and hence not getting the benefits of linking the two. This paper tries to establish a link between the organizational learning capability and the quality culture for TQM implementation based on a case study on the largest vocational education institution, the Vocational Training Council, of Hong Kong. The study reveals that there is a strong positive correlation between organizational learning capability and quality culture. The exploratory explanations for the links between the organizational learning capability constructs and the quality culture constructs are also discussed in this paper. The findings of the study support other literatures that TQM should be embedded in LO and serves as an enabler for organizational learning (OL) in transforming and creating organizations which continuously expand their abilities to change and shape their future.