• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.977-984
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• 2022

Recently, with the economic development of Southeast Asia, the use of information devices is widely spreading, and the demand for application services using intelligent character recognition is increasing. This paper discusses deep learning-based feature extraction and recognition of Myanmar, one of the Southeast Asian countries. Myanmar alphabet (33 letters) and Myanmar numerals (10 numbers) are used for feature extraction. In this paper, the number of nine features are extracted and more than three new features are proposed. Extracted features of each characters and numbers are expressed with successful results. In the recognition part, convolutional neural networks are used to assess its execution on character distinction. Its algorithm is implemented on captured image data-sets and its implementation is evaluated. The precision of models on the input data set is 96 % and uses a real-time input image.

• Journal of the Korean Institute of Educational Facilities
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• v.14 no.4
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• pp.4-13
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• 2007

In 21st century, mankind greets an era of ubiquitous computing where physical and virtual space are merged through the innovation of digital and IT(Information Technology), meanwhile ubiquitous computing and network paradigm suggest a new direction which our future educational system should head for. A society where people, computers, and objects can be connected with each other anytime and anywhere, that is, a society of ubiquitous computing where everything in our living space are interconnected by a immense network system may bring a variety of changes into our educational environment in schools. In this study I analysed the forecast of school educational orientation and ubiquitous educational environment and facilities in developed countries, and on the basis of the result, I performed a fundamental work for formation of a ubiquitous classroom environment which is feasible in Korea. In the section of conclusion, I present a model of ubiquitous classroom as a scenario based on ubiquitous computing technology applicable to future classroom environment.

• English Language & Literature Teaching
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• v.17 no.3
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• pp.213-235
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• 2011

The aim of this study is to present preliminary results from an ongoing large-scale study of English-language future goal orientations held by Japanese university students. The work here involves an investigation of learners in multiple disciplines, from five universities, both public and private, in the Kanto-region of Japan, and their perspective on their future use of English. The results summarize written essays on L2-goal orientations. Preliminary results indicate Japanese learners (n = 629) as a whole have disparate L2-learning goals; however, these can be summarized into four broad categories: career, personal life, study, and general; and early findings indicate that most learners (63.56%) are oriented to career or personal goal orientations, while others are oriented to study and general. These early results help us to gain a better understanding of the future goals of Japanese university learners and their views of English usage in the future.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.2
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• pp.108-115
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• 1999

This paper proposes the robot inverse calibration method using a neural networks. A highorder networks called Pi-Sigma networks has been used. The Pi-Sigma networks uses linear summing units in the hidden layer and product unit in output layer. The inverse calibration model which compensates the difference of joint variables only between measuring value and analytic value about the desired pose(position orientation) of a robot is proposed. The compensated values are determined by using the weights obtained from the learning process of the neural networks previously. To prove the reasonableness the SCARA type direct drive robot(4-DOF) and anthropomorphic robot(6-DOF) are simulated. It shows that the proposed calibration method can reduce the errors of the joint variables from $\pm$3 to $\pm$0.1.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.2
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• pp.169-176
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• 2003

This empirical research aimed to identify and compare key success factors in fashion marketing education in Korea as well as those in U.S.A. Employing a couple of statistical methods (multiple regression and factor analysis) on survey data, it was found that the decisive factors in the fashion marketing education differed between two countries. mainly attributable to the difference of goals in the education or to the job orientation of students. Surprisingly it was also found that no educational methods significantly affected the educational performance in both countries, implying that the so called constructivistic ways of leaching/learning was not so effective as expected. In order to improve educational performance in Korea, as far as fashion marketing is concerned, universities needed to increase the class-hours for the course, to provide more supportive educational environment, and to let the instructors used computer/internet facilities for more diverse purposes than now.

• Knowledge Management Research
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• v.6 no.1
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• pp.33-69
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• 2005

Recently, knowledge management and E-business are very important issues in academic and business fields. Research questions related with these issues are which factors stimulate knowledge management. Another question is whether knowledge management is related to E-business. To answer these questions a research model was proposed. The data were collected from 90 manufacturing firms in Korea. Appropriate research methodologies were employed for analysis. Results found that the degree of firm's internalization, diversity of domestic management activities and learning orientation affect knowledge aquisition and transfer. Knowledge aquisition and transfer facilitate knowledge application, resulting in new product development, cost reduction and technology differentiation. Knowledge management is a kind of process. This result, therefore, confirms what previous literature predicted.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.566-571
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• 1994

This paper presents in image-based visual servo control scheme for tracking a workpiece with a hand-eye coordinated robotic system using the fuzzy-neural-network. The goal is to control the relative position and orientation between the end-effector and a moving workpiece using a single camera mounted on the end-effector of robot manipulator. We developed a fuzzy-neural-network that consists of a network-model fuzzy system and supervised learning rules. Fuzzy-neural-network is applied to approximate the nonlinear mapping which transforms the features and theire change into the desired camera motion. In addition a control strategy for real-time relative motion control based on this approximation is presented. Computer simulation results are illustrated to show the effectiveness of the fuzzy-neural-network method for visual servoing of robot manipulator.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1999.10a
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• pp.131-136
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• 1999

This paper proposes the robot inverse calibration method using a neural networks. A highorder networks called Pi-Sigma networks has been used. The Pi-Sigma networks uses linear summing units in the hidden layer and product unit in output layer. The inverse calibration model which compensates the difference of joint variables only between measuring value and analytic value about the desired pose(position, orientation) of a robot is proposed. The compensated values are determined by using the weights obtained from the learning process of the neural networks previously. To prove the reasonableness, the SCARA type direct drive robot(4-DOF) and anthropomorphic robot(6-DOF) are simulated. It shows that the proposed calibration method can reduce the errors of the joint variables from $\pm$2$^{\circ}$to $\pm$ 0.1$^{\circ}$.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.201-202
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• 2013

최근 국제화, 세계화의 원동력이 되고 있는 이-러닝을 접목시켜 신학기의 새로 입학하는 신입생들에게 학교에 대한 정보와 아직 경험하지 않은 캠퍼스 생활 및 학과생활에 도움이 될 수 있는 정보를 제공하는 콘텐츠를 설계하였다. 본 연구의 콘텐츠를 이용하면 신입생들이 학교에 쉽게 적용할 수 있고 캠퍼스 생활을 의미 있게 보낼 수 있다.

• Korean Journal of Health Education and Promotion
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• v.8 no.2
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• pp.1-5
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• 1991

Definition of health education can be various depending on historical background and individual point of view. In the industrialized era when health promotion is given a high priority in health activities, health education could be defined as a combination of planned learning experiences and social actions, which expand health knowledge and experiences of individuals and communities in order to meet their health needs, change harmful health behaviors to be desirable for health promotion and motivate them to do that. To realize the proposed definition of health education, health education should develop new policies in harmony with health promotion, facilitate the development of human resources, reflect the modern educational technology, strengthen multisectoral approach, and pay more attention to monitoring and evaluation. To fulfill the above mentioned role, health education approach should shift foci from diseases to health orientation, from individualistic health behavior modification to a systematic change of the general public, from medical domination to recognition of lay competence and from authoritarian health education to supportive health education.