• Journal of Internet of Things and Convergence
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• v.7 no.1
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• pp.21-25
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• 2021

Augmented reality systems are widely used in the fields of entertainment, shopping, education, and training, and the augmented reality technology is gradually increasing in importance. When augmented reality technology is used for education or training, it must be possible to represent different virtual objects depending on the work stage even for the same marker. Also, since the training content varies depending on the situation, it is necessary to describe it using a training scenario. In order to solve this problem, we propose a scenario markup language for an augmented reality system that can create training content based on a scenario and connect it with an augmented reality system. The scenario markup language for augmented reality provides functions such as a method for connecting a scene, a marker and a virtual object, a method for grasping the state of equipment or sensor value, and a method for moving a scene according to conditions. The augmented reality scenario markup language can flexibly increase the usefulness and expandability of the augmented reality system usage method and content usage.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.43-50
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• 2022

A comparative analysis of the state and results of the functioning of the education system of Ukraine with the national educational systems of the USA and Great Britain was carried out. Based on which we found out similar and different in the process of developing the system of training specialists in higher education institutions of the USA, Great Britain, and Ukraine. Describing the main quantitative indicators of education in the UK, USA and Ukraine, we found common features and distinctive features. Consideration in the comparative aspect of trends in the development of higher teacher education in the United States, Great Britain and in Ukraine gives grounds for conclusion. For these countries, such groups of norms as types of educational institutions, forms of Education; introduction of a unified system of credit units in order to create conditions for broad mobility of students; availability of different levels of training; study of the best experience of educational activities of other states and its introduction into the educational process in combination with the cultural traditions of Ukraine coincide. Describing the main quantitative indicators of education in the analyzed countries, we found distinctive features.Teacher development systems in the UK, USA and Ukraine are compared. It was found out that the use of methods of Great Britain and the United States on the organization of independent work in the process of professional development of teachers will have a positive impact on training in the system of advanced training of teachers in Ukraine. The article examines the information culture of future specialists, which is based on knowledge about the information environment, the laws of its functioning and development, and the perfect ability to navigate the limitless modern world of information.

• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.31-38
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• 2011

A RAM-based Neural Net is a weightless neural network based on binary neural network. 3-D neural network using this paper is binary neural network with multiful information bits and store counts of training. Recognition method by MRD technique is based on the supervised learning. Therefore neural network by itself can not distinguish between the categories and well-separated categories of training data can achieve only through the performance. In this paper, unsupervised learning algorithm is proposed which is trained existing 3-D neural network without distinction of data, to distinguish between categories depending on the only input training patterns. The training data for proposed unsupervised learning provided by the NIST handwritten digits of MNIST which is consist of 0 to 9 multi-pattern, a randomly materials are used as training patterns. Through experiments, neural network is to determine the number of discriminator which each have an idea of the handwritten digits that can be interpreted.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.1047-1052
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• 2011

Various services are created using mobile networks after mobile devices such as smart phones and tablet PCs are propagated rapidly. However, the contents of smart devices are not enough diversity because they depend on games and messaging services primarily. In this paper, we described the study have progressed based on mobile devices and networks using augmented reality technologies about virtual education system.

• Journal of Agricultural Extension & Community Development
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• v.8 no.1
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• pp.1-14
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• 2001

e-Learning has brought dramatic changes in education system for many companies in Korea. Many researchers and practitioners believe that e-Learning will be the main educational system for every companies in the world. e-Learning is an alternative education system, which includes computer based learning, web based learning, virtual classroom, and distance learning. e-learning has been expected to impact every educational sectors including Extension services. This study intends to identify and suggest some implications for successful e-Learning implementation of Extension education by investigating the successful factors of enterprises' e-Learning system, where outstanding results have be shown.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.254-257
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• 2009

In this paper, we propose a learning-based super-resolution algorithm. In the proposed algorithm, a multi-resolution wavelet approach is adopted to perform the synthesis of local high-frequency features. To obtain a high-resolution image, wavelet coefficients of two dominant LH- and HL-bands are estimated based on wavelet frames. In order to prepare more efficient training sets, the proposed algorithm utilizes the LH-band and transposed HL-band. The training sets are then used for the estimation of wavelet coefficients for both LH- and HL-bands. Using the estimated high frequency bands, a high resolution image is reconstructed via the wavelet transform. Experimental results demonstrate that the proposed scheme can synthesize high-quality images.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.417-419
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• 2012

국내의 자동차 정비 훈련 교육 현장에는 훈련교사가 빠르게 발전되고 있는 자동차 정비 기술 수준에 맞춰 교육하는데 어려움이 있다. 이 같은 어려움을 해결하기 위한 이-트레이닝(E-training) 시스템은 체험형 훈련이 가능하면서도 높은 학습 효과를 가져올 것이라 기대되고 있다. 자동차 정비 훈련을 위한 이-트레이닝 시스템은 훈련교사가 자동차 고장 항목을 설정하면, 훈련생이 고장 진단을 위한 다양한 시도를 하여 고장을 인지하고, 그에 따른 조치를 통해 주어진 문제를 해결함으로써 학습효과가 높아질 것이라 기대되는 시스템이다. 하지만 이-트레이닝 시스템은 이미 설정되어 있는 시나리오에 따른 일방적인 교육, 학습자에 대한 지속적인 관리의 어려움, 학습자의 행동을 추론하여 정확한 결과를 도출해내기가 어렵다는 한계가 있다. 본 논문에서는 이-트레이닝 시스템의 문제점을 해결하기 위한 방법으로 자동차 정비를 위한 자동차 몸체, 엔진, 정비 도구에 대한 온톨로지를 구축하고 추론하여 효과적인 자동차 정비 훈련 교육이 될 수 있도록 하는 방법을 제안하고자 한다.

• Proceedings of the KSPS conference
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• 2000.07a
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• pp.338-349
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• 2000

Pronunciation teaching is once again coming into the foreground of ELT. Japan is, however, lagging far behind many countries in the development of pronunciation curricula and in the actual speech performance of the Japanese learners of English. The reasons for this can be found in the prevalence of communicative methodologies unfavorable for pronunciation teaching, in the lack of trained professionals, and in the large numbers of students in Japanese foreign language classes. This paper offers a way to promote foreign language pronunciation teaching in Japan and other countries by means of employing computer and internet facilities. The paper outlines the major directions of using modem speech technologies in pronunciation classes, like EVF (electronic visual feedback) training at segmental and prosodic levels; automated error detection, testing, grading and fluency assessment. The author discusses the applicability of some specific software packages (CSLU, SUGIspeech, Multispeech, Wavesurfer, etc.) for the needs of pronunciation teaching. Finally, the author talks about the globalization of pronunciation education via internet resources, such as computer corpora and speech and pronunciation training related web pages.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.971-976
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• 1994

A speech display system is developed for the evaluation and the training of speech utterance. The speech is analyzed by linear predictive technique every 5 ms and the frequencies of the lowest two spectral local peaks P1 and P2 are extracted. The vowel trakectory is displayed using those frequencies on th P1-P2 plane. In most cases, P1 and P2 correspond to the first and the second formants, but in the case of indistinct utterance, the correspondence between the local spectral peaks and the formants tends to fall into disorder. And the system is considered to be useful for the evaluation of speech quality. The examples of some words uttered by normal speakers and some patients with difficulty in utterance are compared each other for the discussion of the effectiveness of the system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.441-442
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• 2014

최근 IT 시장에서는 빅 데이터가 새로운 패러다임으로 주목받으면서 모든 분야에서 빅 데이터를 활용하기 위해 많은 노력을 기울이고 있다. 빅 데이터를 활용한 스마트교육에서는 학생들의 모든 학습활동 자료가 쉽게 수집될 수 있을 뿐만 아니라 모든 학생의 자료 또한 수집이 가능하다. 빅 데이터를 통한 학습자 맞춤형 교육은 현재 진행되는 스마트 교육의 진정한 효과로써 나타날 수 있을 것으로 여겨진다. 따라서 본 논문에서는 학습자의 학업 성취도 향상의 요인인 학습 내용에 대한 관심과 흥미를 기준으로 분석한 빅 데이터를 활용하는 개인 맞춤형 교육 시스템을 설계하였다.