• Journal of Multimedia Information System
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• v.6 no.4
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• pp.259-264
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• 2019

In this paper, the prototyping process for developing syllable-initial consonant-based game 'Korean Guards' is described. Users may effectively learn Korean words using alphabetically sequential approaches, but the easiness of access bestowed on the smart environments and game algorithms could be fully utilized for the functional advantages for educational purposes. This functional game is developed on Android OS and the prototypical outcome is shown.

• Journal of Korean Biological Nursing Science
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• v.2 no.2
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• pp.38-52
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• 2000

This study was conducted to develop web-based distance learning program of basic nursing physical science which was composed of a multimedia contents such as documents, voices and pictures. This was to advance curriculum of basic nursing physical science based on a proper nursing characteristics related to other major nursing subjects and induce a new and creative method to gain a knowledge. Based on a general learning design model, distance learning program was developed centered on a structure and function of heart physical science in 1999. The stages of development were like this. Firstly, at the analytic stage, specific units and contents for developing multimedia contents were decided and presentation methods for each item were designed and then the evaluation items were developed. Secondly, at the design stage, the most effective design of multimedia construction was selected and interfaces, basic frames, and presentation elements were chosen. Thirdly, at the developmental stage, internet files were designed using Namo web editor 4.0 and this files were modified with Adobe Photoshop.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.460-468
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• 2016

The teaching method of colleges and universities is traditionally lectures then professors has described orally in class and students has listened to accompanying with papers, mid-terms, and final exams. Jon Bergmann and Aaron Sams have developed new way of teaching called flipped learning; Classwork at home and homework in class. By adapting the method, this paper researched how efficient it is and what factors tutors should consider for better results. Specifically this research examined the flipped learning applying to basic 3D graphics class of J University in Korea and students answered surveys and took a couple of tests. Since the most students of the class did not have any background of 3D graphics, it was the first time for them to work with 3 dimensional space coordinate system. As a result, the research showed positive side of flipped learning like increasing peers' interest to the class and positive attitude about video lectures watched before coming to class.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.398-401
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• 2012

본 논문에서는 유비쿼터스 기반의 스마트카드를 이용하여 다양한 사용자의 이용과 함께, 타 시스템과 연동을 통한 사용자 인증 및 교통, 유통, 학생증 기반을 제공하는 다기능 스마트 E-Learning 시스템을 구축하여, 다양한 제휴를 제공하고, 미래교육인프라를 활용함과 동시에 첨단 IT 환경인 스마트카드를 적용할 수 있는 종합적인 정보 서비스를 제공함으로써 유비쿼터스 E-Learning 문화를 체험하고, 보다 높은 수준의 교육환경을 제공하고자 한다. 또한 미래지향적 첨단 E-Learning 생활을 유도함과 동시에 각종 시설물 이용 및 다양한 생활에 이용되어 더 나은 Smart E-Learning을 제공한다. 이는 다양한 실적 및 통계자료의 활용을 통해 현황 파악의 신속성, 정확성을 기하여 21 세기 E-Leaning로서 경쟁력 강화 및 이미지 제고를 위하여, 스마트카드 시스템을 활용한 스마트 E-Learning 모델에 대하여 제시하고자 한다.

• Journal of Multimedia Information System
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• v.7 no.1
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• pp.33-40
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• 2020

Machine learning consists of supervised and unsupervised learning among which supervised learning is used for the speech recognition objectives. Supervised learning is the Data mining task of inferring a function from labeled training data. Speech recognition is the current trend that has gained focus over the decades. Most automation technologies use speech and speech recognition for various perspectives. This paper demonstrates an overview of major technological standpoint and gratitude of the elementary development of speech recognition and provides impression method has been developed in every stage of speech recognition using supervised learning. The project will use DNN to recognize speeches using magnitudes with large datasets.

• Journal of Korea Multimedia Society
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• v.25 no.1
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• pp.52-60
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• 2022

Few-shot learning is a sub-area of machine learning problems, which aims to classify target images that only contain a few labeled samples for training. As a representative few-shot learning method, the Prototypical network has been received much attention due to its simplicity and promising results. However, the Prototypical network uses the sample mean of samples from the same class as the prototypes of that class, which easily results in learning uncharacteristic features in the low-data scenery. In this study, we propose to use local descriptors (i.e., patches along the channel within feature maps) from the same class to explicitly obtain more representative prototypes for Prototypical Network so that significant intra-class feature information can be maintained and thus improving the classification performance on few-shot learning tasks. Experimental results on various benchmark datasets including mini-ImageNet, CUB-200-2011, and tiered-ImageNet show that the proposed method can learn more discriminative intra-class features by the local descriptors and obtain more generic prototype representations under the few-shot setting.

• The Journal of Korean Association of Computer Education
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• v.14 no.5
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• pp.19-28
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• 2011

The purpose of the study is to investigate the effects of multimedia case-based learning on preservice teachers' critical thinking disposition and practices. Forty-nine students among the seventy-five preservice teachers who enrolled in the class, Introduction to Special Education, participated in this study. Pretest and a case were presented at the beginning of the semester and then 4 cases and multimedia learning resources were provided during 13 weeks. In addition, small and whole class discussion were used for learning activities to share their opinions. At the end of the semester, the posttest and practices regarding a new case data were collected. Results found that no significant difference in the critical thinking disposition survey, however, the multimedia group showed better practices in a new case than the control group. Suggestions and future research were discussed.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.51-59
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• 2011

In this paper, we propose the standardized idea for learning environment of e-Learning 2.0 (originated from Web 2.0 paradigm) to overcome limitations of current passive e-Learning environment. Because current LMS/ LCMS which manages e-learning systems has the limitation of providing various interactive elements when people use video contents to study, it lacks real-timeness and interactivity between teacher-learner and learner-learner in the operation of video contents and has difficulty in measuring accurate progress rate of learners in the process of teaching-learning. Therefore, we designed multimedia contents(both-way learning requisite) to overcome limitations of current e-Learning system and to maximize the effect of learning of learners so that it makes possible to interact between learners and teachers in realtime. For this, this thesis designs the standardized idea based on expanded SCORM standard which is now used for manufacturing LMS/LCMS, and according to ideas we have proposed, it implements e-learning multimedia environment.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.35-42
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• 2022

The article deals with the role of extra-curricular work by means of multimedia technologies in order to improve the quality of training of future specialists. An important condition for achieving high results in training specialists is the optimal combination of classroom and independent extra-curricular work of students by means of multimedia technologies. Very significant is the development of student independence, the formation of skills of independent search activity, the ability to take responsibility, independently solve a problem, find constructive solutions, a way out of a crisis situation, and so on. Extra-curricular work forms students' ability to master the techniques of analysis, synthesis, generalization, comparison; develops flexibility of thinking; opens up opportunities for the development and stabilization of positive learning motives to activate the process of mastering knowledge by means of multimedia technologies as a means of forming the personality of a highly qualified specialist. The concept of multimedia as one of the priority areas of Information Technology, which plays a particularly important role in the process of informatization of education, is revealed, and its advantages in education are shown. The advent of multimedia systems optimizes transformations in education, in many areas of professional activity, science, art, etc. The necessity of distance learning to improve the quality of training of future specialists using multimedia technologies in extra-curricular work is justified. The effectiveness of pedagogical support in the process of distance learning is achieved by the following conditions, which is revealed in the article. Various forms and types of extra-curricular work of students that are used in the modern practice of the educational environment of a higher education institution are described. Scientific and informational activity is considered a key area of information activity. The analysis of scientific and information activities in the field of education allows us to identify its main functions, which emphasize the growing role of scientific information in the education system, in particular, extra-curricular work using multimedia technologies. Operational, complete, accurate, targeted information that meets objective and subjective needs becomes an important link between the field of management, science and practice.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.98-107
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• 2018

In this paper, we propose a method to classify the skeletal maturity with a small amount of hand wrist X-ray image using deep learning-based meta-learning. General deep-learning techniques require large amounts of data, but in many cases, these data sets are not available for practical application. Lack of learning data is usually solved through transfer learning using pre-trained models with large data sets. However, transfer learning performance may be degraded due to over fitting for unknown new task with small data, which results in poor generalization capability. In addition, medical images require high cost resources such as a professional manpower and mcuh time to obtain labeled data. Therefore, in this paper, we use meta-learning that can classify using only a small amount of new data by pre-trained models trained with various learning tasks. First, we train the meta-model by using a separate data set composed of various learning tasks. The network learns to classify the bone maturity using the bone maturity data composed of the radiographs of the wrist. Then, we compare the results of the classification using the conventional learning algorithm with the results of the meta learning by the same number of learning data sets.