• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.1
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• pp.80-87
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• 1998

In this study, a multi-element ultrasound transducer has been developed aiming at basic experiment of three-dimension endovascular ultrasound endscopy for clinical diagnos, and experimental results of two-dimensional object imaging in the water are presented by the ultrasound tranducer and neural network. Each ultrasound echo received by thirty-six angular transducer elements is inputed to the eural network, and then backpropagation is used as a learning algorithm. A three-layer artificial neural network is used for learning and imaging of targetw placed in front of the transducer. The object shape of imaging is restricted to rectangular shapes by considering experimental restraint conditions. As a result, rough visualization can be realized even for objects with unlearned shapes through the training by primitive patterns of a various sized rectangular targets.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.169-180
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• 2016

In this paper, we propose a CT-SPI Model based on a physical computing for improving Computational Thinking(CT) for elementary students. This study analyzes the results obtained from applying the CT-SPI model to fourth-grade class. The model is designed to embrace the learning activities and CT elements for three different stages: System thinking, Prototyping and Interaction. For providing curriculum with CT-SPI model, physical SW educational module is developed, so that learners could focus on internalizing CT. The study results indicate that a learning satisfaction and a degree of learner interest improve significantly. Comprehensive CT capability assessment results in three levels show that the capability in lowest level (score is below 4 out of 10) has decreased by 46.6% but capability in highest level (over 7 out of 10) has increased by 20%.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.4
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• pp.282-287
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• 2006

This paper presents an original feature selection method for Emotion Recognition which includes many original elements. Feature selection has some merits regarding pattern recognition performance. Thus, we developed a method called thee 'Interactive Feature Selection' and the results (selected features) of the IFS were applied to an emotion recognition system (ERS), which was also implemented in this research. The innovative feature selection method was based on a Reinforcement Learning Algorithm and since it required responses from human users, it was denoted an 'Interactive Feature Selection'. By performing an IFS, we were able to obtain three top features and apply them to the ERS. Comparing those results from a random selection and Sequential Forward Selection (SFS) and Genetic Algorithm Feature Selection (GAFS), we verified that the top three features were better than the randomly selected feature set.

• Journal of Korea Multimedia Society
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• v.7 no.6
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• pp.806-813
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• 2004

Internet users are increasingly depending on acquiring and spreading a variety of information from home pages and they are also making use of education systems based on the internet. This study suggests an efficient method to make learners study Chinese Letters with ease and fun through the internet. The detailed methods of attaining Chinese letters Using Edutainment system are divided into 5 elements as follows. Utilizing the transition process of the letters, using games, applying animation and through switching over from Chinese letters to Korean letters and vice versa including making use of the sound of letters and their meanings.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.1-10
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• 2022

Since 2019, elementary schools have been teaching software to students, so pre-service teachers should have the ability to teach software. Also, in the COVID-19 situation, pre-service teachers need the ability to teach software online. The purpose of this study is to investigate the effectiveness of online software education for preservice teachers. After providing online software education to preservice teachers, we analyse the results and examines whether online software education is effective. In this study, we define 55 learning elements by analyzing the achievement standards that can evaluate the software education ability of preservice teachers. We figure out whether pre-service teachers have acquired the ability to provide online software education to elementary school students. As a result of the study, we concluded that pre-service teachers who received this online education could conduct software education online in elementary school.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.193-196
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• 2008

Z. Cao had proposed NFRM(new fuzzy reasoning method) which infers in detail using relation matrix. In spite of the small inference rules, it shows good performance than mamdani's fuzzy inference method. In this paper, we propose 2. Cao's fuzzy inference method using learning ability witch is used a gradient descent method in order to improve the performances. Because it is difficult to determine the relation matrix elements by trial and error method which is needed many hours and effort. Simulation results are applied linear and nonlinear system show that the proposed inference method has good performances.

• International Journal of Contents
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• v.7 no.4
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• pp.64-69
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• 2011

Recently, as smart devices are distributed more and more, the need for education of developing contents based on smart media increases. In order to develop contents based on smart media, it is necessary to learn new programming language as well as to understand the structure of platforms as device-manufacturers and communication companies have different platforms. Generally, the problem in education of programming is that it can provide learning to understand the language stage by stage, but it is difficult to suggest a clear result such as completion of learner's project from macroscopic and integrated approach. Especially, there is a difficult of learning several programming languages due to the characteristics of platforms in developing smart contents. Accordingly, in the education of programming for developing smart contents, it is not appropriate to use the traditional teaching method of programming which conducts projects from an integrated point of view after learning the grammatical elements of the language. This paper aims to suggest the top-down teaching method as an effective teaching method for developing contents based on smart media, and to analyze the effect after developing and applying the suggested teaching model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2470-2491
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• 2018

Web-scale open information extraction (Open IE) plays an important role in NLP tasks like acquiring common-sense knowledge, learning selectional preferences and automatic text understanding. A large number of Open IE approaches have been proposed in the last decade, and the majority of these approaches are based on supervised learning or dependency parsing. In this paper, we present a novel method for web scale open information extraction, which employs cosine distance based on Google word vector as the confidence score of the extraction. The proposed method is a purely unsupervised learning algorithm without requiring any hand-labeled training data or dependency parse features. We also present the mathematically rigorous proof for the new method with Bayes Inference and Artificial Neural Network theory. It turns out that the proposed algorithm is equivalent to Maximum Likelihood Estimation of the joint probability distribution over the elements of the candidate extraction. The proof itself also theoretically suggests a typical usage of word vector for other NLP tasks. Experiments show that the distance-based method leads to further improvements over the newly presented Open IE systems on three benchmark datasets, in terms of effectiveness and efficiency.

• Journal of Digital Contents Society
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• v.1 no.1
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• pp.111-124
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• 2000

The coursewares available on the web are on active development by each country all over the world in accordance with web prevailing. Many Visual Basic language courseware is also into web-based education it is not improving the effect of learning. Hence through this study, in orer to be out of the said kind of approach, 1)by adding multimedia elements with making the best of web characteristics, 2)escalating the studying effect of learners' with experimental environment, and 3)providing proper feedbacks in assessment of learners' reactions 4)we invented web-based multimedia courseware with the technology of Real Encoder, Real Player, Active X etc. and tried adapting it to school education field on the basis of design model of professor-learning system.