• Journal of Digital Contents Society
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• v.14 no.4
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• pp.537-544
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• 2013

There has been many studies to explore what is the best multimedia tools for English learning by internet, but the students are still thirsty for the lack of practical and effective learning method which may lead them to stimulate their motivations to learn English with technological new media. The purpose of this study is to design Flash Animation as a new approach to learn language acquisition for those students who are learning English as a second language. This second is to show the validity for the introduction of Flash Animation into the English class. The third is to describe the effectiveness of the application of multimedia tools used in English communication such as java script programming and power point presentation.

• 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.

• Journal of Korea Multimedia Society
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• v.25 no.9
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• pp.1257-1265
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• 2022

Recognition of sign language is challenging due to the occlusion of hands, accuracy of hand gestures, and high computational costs. In recent years, deep learning techniques have made significant advances in this field. Although these methods are larger and more complex, they cannot manage long-term sequential data and lack the ability to capture useful information through efficient information processing with faster convergence. In order to overcome these challenges, we propose a word-level sign language recognition (SLR) system that combines a real-time human pose detection library with the minimized version of the gated recurrent unit (GRU) model. Each gate unit is optimized by discarding the depth-weighted reset gate in GRU cells and considering only current input. Furthermore, we use sigmoid rather than hyperbolic tangent activation in standard GRUs due to performance loss associated with the former in deeper networks. Experimental results demonstrate that our pose-based optimized GRU (Pose-OGRU) outperforms the standard GRU model in terms of prediction accuracy, convergency, and information processing capability.

• English Language & Literature Teaching
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• v.11 no.4
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• pp.237-259
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• 2005

Secondary English Education in Korea is implemented according to the 7th National Curriculum. The 7th National English Curriculum pursues to achieve communicative competence considering individual differences. According to the research, using various multimedia in English education enhances English proficiency and allows effective individual-based learning. The purpose of this study is to investigate the implementation of applying multimedia in English education within the framework of the 7th National Curriculum. For this purpose, a questionnaire-based survey was conducted in 2005 with 145 secondary English teachers in Kyunggy Province. The results showed that multimedia was not integrated in English education effectively, and individual based-learning was not implemented effectively, either.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.9
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• pp.77-85
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• 2015

The finger language is the part of the sign language, which is a language system that expresses vowels and consonants with hand gestures. Korean finger language has 31 gestures and each of them needs a lot of learning models for accurate recognition. If there exist mass learning models, it spends a lot of time to search. So a real-time awareness system concentrates on how to reduce search spaces. For solving these problems, this paper suggest a hierarchy HMM structure that reduces the exploration space effectively without decreasing recognition rate. The Korean finger language is divided into 3 categories according to the direction of a wrist, and a model can be searched within these categories. Pre-classification can discern a similar finger Korean language. And it makes a search space to be managed effectively. Therefore the proposed method can be applied on the real-time recognition system. Experimental results demonstrate that the proposed method can reduce the time about three times than general HMM recognition method.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.142-149
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• 2007

In existing educational systems, it is impossible to synchronize multimedia contents and it is required additional client applications. SMIL(Synchronized Multimedia Integration Language) is based on XML which allows to arrange multimedia objects temporally and spatially, and it can represent multimedia effectively on Web browsers. It is possible to serve the high-quality multimedia on Web browsers by applying SMIL to the previous Web-based educational contents without any client applications. In this paper, we propose the method of developing multimedia educational contents applied by SMIL, and design an authoring tool with a function of transforming SMIL documents to XHTML documents. The tool allows common users to use easily without any plug-ins or applications.

• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1535-1545
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• 2022

Sign language has completely different meaning depending on the direction of the hand or the change of facial expression even with the same gesture. In this respect, it is crucial to capture the spatial-temporal structure information of each movement. However, sign language translation studies based on Sign2Gloss2Text only convey comprehensive spatial-temporal information about the entire sign language movement. Consequently, detailed information (facial expression, gestures, and etc.) of each movement that is important for sign language translation is not emphasized. Accordingly, in this paper, we propose Spatial-temporal Keypoints Centered Sign2Gloss2Text Translation, named STKC-Sign2 Gloss2Text, to supplement the sequential and semantic information of keypoints which are the core of recognizing and translating sign language. STKC-Sign2Gloss2Text consists of two steps, Spatial Keypoints Embedding, which extracts 121 major keypoints from each image, and Temporal Keypoints Embedding, which emphasizes sequential information using Bi-GRU for extracted keypoints of sign language. The proposed model outperformed all Bilingual Evaluation Understudy(BLEU) scores in Development(DEV) and Testing(TEST) than Sign2Gloss2Text as the baseline, and in particular, it proved the effectiveness of the proposed methodology by achieving 23.19, an improvement of 1.87 based on TEST BLEU-4.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.123-123
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• 2007

• Journal of Korea Game Society
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• v.19 no.5
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• pp.103-114
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• 2019

We have been studying a deep-learning program that can communicate with other users in online communities since 2017. But there were problems with processing a Korean data set because of Korean characteristics. Also, low usage of GPUs of RNN models was a problem too. In this study, as Natural Language Processing models are improved, we aim to make better results using these improved models. To archive this, we use a Transformer model which includes Self-Attention mechanism. Also we use MeCab, korean morphological analyzer, to address a problem with processing korean words.

• Journal of Digital Contents Society
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• v.14 no.1
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• pp.111-116
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• 2013

Instructive lessons in the language classrooms are extremely constrictive to language learners in improving their English skills, thus, the use of technology in education plays an important role in a language classroom. Results of language proficiency improvement of the learners vary depending on the extent of supplementary materials offered by the internet delivered to the learners. The purpose of the present study is to explore and propose a new approach of language acquisition offered by the internet. This study presents effective methods of using the internet in carrying out the written work. In this paper, we show that the relationship between participation of the learners in the class activities and improvement of English writing skills are mutually proportional.