• Proceedings of the Acoustical Society of Korea Conference
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• 1993.06a
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• pp.233-237
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• 1993

본 논문에서는 패턴 매칭 방법에 근거하여 인식 단위가 음소인 음소 기반 인식 시스템을 구성하였다. 선택한 신경망 구조는 생물학적 신경망인 코호넨(T. Kohonen)의 SOFM(Self-Organizing Feature Map)으로 패턴 매칭 과정 중 cluster로 사용하였다. SOFM 신경망은 신호 공간에 대해서 최적의 국소(局所) 해부적 사사에 의한 자기 조직화 과정을 수행하며, 그 결과 인식 문제에 있어서 상당히 높은 정확도를 나타낸다. 따라서 SOFM 신경망은 음소 인식에도 효과적으로 응용될 수 있다. 또한 음소 인식 시스템의 성능 향상을 위해 K-means 클러스터링 알고리즘이 결합된 학습 알고리즘을 제안하였다. 제안된 음소 인식 시스템의 성능을 평가하기 위해, 먼저, 우리말 음소들을 모음, 파열음, 마찰음, 파찰음, 유음 및 비음, 종성의 6개 음소군으로 분류하고 각 음소군에 대한 특징 지도를 구성하여 labeler의 기능을 수행하게 하였다. 화자 종속 인식실험 결과 87.2%의 인식률을 보였으며 제안한 학습법의 빠른 수렴성과 인식률 향상을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.718-720
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• 2002

현재 교사를 위한 다양한 인격 연수가 시행되고 있다. 그러나 연수 내용을 살펴보면 교사 연수의 핵심이라고 할 수 있는 교수법 향상에 관련된 내용보다는 교과의 전문지식이나 기능적인 부분에 대해 더 많이 다루고 있는 것이 사실이다. 교사들은 대학에서 뿐만 아니라 교육 현장에서 자기 연수 혹은 연수 기관을 통해 끊임없이 교수법 향상을 위해 노력해야한다 연수 기관에서 그룹별 토의 시스템, 동영상 동기화 교수-학습 지도안 제작 도구, 교수학습 DB 등으로 구성된 인지적 도제 모델형 원격 연수 시스템을 이용한다면 좀 더 나은 교수법 향상을 기대할 수 있을 것이다.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.3
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• pp.79-102
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• 2012

Higher educational institutions face an increasing demand for developing a renewed set of competencies of college students who will live in the knowledge-based society. However, relatively little is known about what constitutes the core competencies that college students need to develop and how we can improve them. Nine categories of core competencies required for college graduates were drawn from the previous research and examples of core competencies developed by other institutions. They are analytic thinking skills, problem-solving skills, communicating skills, collaborative working skills, and etc. A reading guidance course for strengthening core competencies, developed based on the teaching and learning methods was adapted to students of LIS for one semester. Implications of these and related findings are discussed.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.375-383
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• 2017

The purpose of this study was to identify the effects of metacognition on learning flow of Team-Based Learning(TBL) in nursing students and verify the mediating effects of shared leadership on the relationships between metacognition and learnig flow. Data were collected via survey from 98 nursing students to participate in TBL for 6weeks, in June 2017. The results were as follows: There was a significant correlation with metacognition, shared leadership and learning flow. Metacognition had a positive effect on learning flow. Shared leadership had a partial mediating effect in the relationship between metacognition and learning flow. Conclusively, this results indicate a need to develop programs that effectively promote the shared leadership and maximize metacogniton Team-Based Learning(TBL) in nursing students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.19-21
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• 2022

Anomaly detection using self-supervised learning typically generates synthetic data to learn to classify normal and abnormal, and uses real abnormal data as test data to measure anomaly detection performance. In a study using this method to generate synthetic data similar to normal data, anomaly detection was carried out by generating synthetic data by cutting and pasting a specific patch from the original image. In this way, the degree of similarity to normal data depends on the number and size of patches, which affects anomaly detection performance. In this paper, synthetic data were generated by varying patch sizes and numbers, and then similarity and analysis with normal data were conducted using a pre-trained model, and anomaly detection performance was measured by learning the model.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.549-558
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• 2001

It is important to reuse existing motion capture data for reduction of the animation producing cost as well as efficiency of producing process. Because its motion curve has no control point, however, it is difficult to modify the captured data interactively. The motion transition is a useful method to reuse the existing motion data. It generates a seamless intermediate motion with two short motion sequences. In this paper, Uniform Posture Map (UPM) algorithm is proposed to perform the motion transition. Since the UPM is organized through quantization of various postures with an unsupervised learning algorithm, it places the output neurons with similar posture in adjacent position. Using this property, an intermediate posture of two active postures is generated; the generating posture is used as a key-frame to make an interpolating motion. The UPM algorithm needs much less computational cost, in comparison with other motion transition algorithms. It provides a control parameter; an animator could control the motion simply by adjusting the parameter. These merits of the UPM make an animator to produce the animation interactively. The UPM algorithm prevents from generating an unreal posture in learning phase. It not only makes more realistic motion curves, but also contributes to making more natural motions. The motion transition algorithm proposed in this paper could be applied to the various fields such as real time 3D games, virtual reality applications, web 3D applications, and etc.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.839-850
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• 2018

The flood damage in urban areas due to torrential rain is increasing with urbanization. For this reason, accurate and rapid flooding forecasting and expected inundation maps are needed. Predicting the extent of flooding for certain rainfalls is a very important issue in preparing flood in advance. Recently, government agencies are trying to provide expected inundation maps to the public. However, there is a lack of quantifying the extent of inundation caused by a particular rainfall scenario and the real-time prediction method for flood extent within a short time. Therefore the real-time prediction of flood extent is needed based on rainfall-runoff-inundation analysis. One/two dimensional model are continued to analyize drainage network, manhole overflow and inundation propagation by rainfall condition. By applying the various rainfall scenarios considering rainfall duration/distribution and return periods, the inundation volume and depth can be estimated and stored on a database. The Rainfall-Duration-Flooding Quantity (RDF) relationship curve based on the hydraulic analysis results and the Self-Organizing Map (SOM) that conducts unsupervised learning are applied to predict flooded area with particular rainfall condition. The validity of the proposed methodology was examined by comparing the results of the expected flood map with the 2-dimensional hydraulic model. Based on the result of the study, it is judged that this methodology will be useful to provide an unknown flood map according to medium-sized rainfall or frequency scenario. Furthermore, it will be used as a fundamental data for flood forecast by establishing the RDF curve which the relationship of rainfall-outflow-flood is considered and the database of expected inundation maps.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.2C
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• pp.162-171
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• 2003

It is difficult to reuse the captured motion data, because the data has a difficulty in editing it. In this paper, a uniform posture mar (UPM) algorithm, one of unsupervised learning neural network is proposed to edit the captured motion data. Because it needs much less computational cost than other motion editing algorithms, it is adequate to apply in teal-time applications. The UPM algorithm prevents from generating an unreal posture in learning phase. It not only makes more realistic motion curves, but also contributes to making more natural motions. Above of all, it complements the weakness of the existing algorithm where the calculation quantity increases in proportion to increase the number of restricted condition to solve the problems of high order articulated body. In this paper, it is shown two applications as a visible the application instance of UPM algorithm. One is a motion transition editing system, the other is a inductive inverse kinematics system. This method could be applied to produce 3D character animation based on key frame method, 3D game, and virtual reality, etc.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.1-11
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• 2001

The computer subject emphasizes practice centered teaching. The materials can be used in such practice teaching play a role as resources improving poor practice teaching environment. Web courseware can be used as teaching-learning materials causing motivation and interest to learners and enabling learning activity meeting students' level and requirement. So, we developed 15 web coursewares as teaching and learning materials for middle school Computer subject in this study. The design forms of web coursewares we developed are different each other. And then, lead teachers to develope teaching and learning materials originally and to apply them to teaching variously. In addition, the practice parts of web coursewares were made of form of sham learning appling procedural simulation skill. It enables individual practice of learners, so we expect improving one to many instruction environment somewhat.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.7
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• pp.1400-1406
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• 2007

The core part of education program of the gifted students in information is the thinking ability extension of the programming. We propose four phases of the education model : (1) problem understanding (2) visualization (3) symbolization (4) algorithmization. This model of four phases is applied to learn the abstract concept of recursion using the data structure of Tree. This model is verified by presenting the example of 'Hanoi Tower' to stimulate intellectual curiosity of the students and help to expand their thinking strength. Also, we show the characteristics of which the teaching subjects and learning activities have, by presenting and clarifying the type of education program, properties of the learning contents, and lower level components. The students can deepen and foster the growth of the learning contents by the students' activities of self-evaluation, and their thinking abilities are increased by the guidances of their teachers.