• Journal of Information Processing Systems
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• 제16권5호
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• pp.1001-1007
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• 2020

In recent years, machine learning algorithms are continuously being used and expanded in various fields, such as facial recognition, signal processing, personal authentication, and stock prediction. In particular, various algorithms, such as deep learning, reinforcement learning, and Q-learning, are continuously being improved. Among these algorithms, the expansion of deep learning is rapidly changing. Nevertheless, machine learning algorithms have not yet been applied in several fields, such as personal authentication technology. This technology is an essential tool in the digital information era, walking recognition technology as promising biometrics, and technology for solving state-space problems. Therefore, algorithm technologies of deep learning, reinforcement learning, and Q-learning, which are typical machine learning algorithms in various fields, such as agricultural technology, personal authentication, wireless network, game, biometric recognition, and image recognition, are being improved and expanded in this paper.

• 한국컴퓨터정보학회논문지
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• 제28권1호
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• pp.27-38
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• 2023

본 논문에서는 시간의 흐름에 따라 새로운 데이터를 지속적으로 학습하고 성장할 수 있는 연속 학습 기반 대화형 AI 에이전트를 제안한다. 연속학습 기반 대화형 AI 에이전트는 태스크 관리자 (Task Manager), 사용자 속성 추출(User Attribute Extraction), 자동 확장 지식 그래프(Auto-growing Knowledge Graph), 크게 3가지 요소로 구성된다. 태스크 관리자는 사용자와의 대화에서 새로운 데이터를 발견하면 이전에 학습한 지식을 통해 새로운 태스크를 생성한다. 사용자 특성 추출 모델은 새로운 태스크에서 사용자의 특성을 추출하고, 자동 확장 지식 그래프는 새로운 외부 지식을 지속적으로 학습할 수 있도록 한다. 한정된 데이터셋을 기반으로 학습된 기존 대화형 AI 에이전트와 달리, 본 논문에서 제안하는 방법은 지속적인 사용자의 특성과 지식 학습을 기반으로 대화를 가능하게 한다. 연속학습 기술이 적용된 대화형 AI 에이전트는 사용자와의 대화가 축적될수록 개인 맞춤형 대응이 가능하며, 새로운 지식에도 대응이 가능하다. 본 논문에서는 시간에 따른 대화 생성 모델의 성능 변화 실험을 통해 제안하는 방법의 가능성을 검증한다.

• 한국실내디자인학회논문집
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• 제14권2호
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• pp.206-216
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• 2005

The purpose of this study is a development of $teaching{\cdot}learning$ program based on interior design WBI. WBI's meaning is Web Based Instruction. There can be several procedures that should be designed at the first step: Analyzing, Designing, Building, Testing, Recycling. These stages are constructed based on the theory of procedure about the computer and the $teaching{\cdot}learning$. Each stage is presented the contents of development, the contents of main, the method advantages and problem solving. These procedures and contents of development are the research method simultaneously with the result. Upon the completion of the system, it should undergo the same process continuously so that it can improve over a period of time, contribute to the interior design of students. In addition continuously repetitive requirements pop up in the phase. And it is necessary for this program try to map out a strategy developing and a policy support from university. It's very important that develop the contents of interior design from professor, students and field professor.

• Educational Technology International
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• 제22권2호
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• pp.255-283
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• 2021

In the early 2020, COVID-19 changed the traditional way of teaching and learning. This paper aimed to explore the impact of college students' perception of course quality on their online learning satisfaction. A total of 4,812 valid samples were extracted, and the difference analysis and hierarchical regression analysis were used to make an empirical analysis of college students' online learning satisfaction. The research results were as follows. Firstly, there was no difference in online learning satisfaction among students by gender and grade. Secondly, learning assessment, course materials, course activities and learner interaction, and course production had a significant positive impact on online learning satisfaction. Course overview and course objectives had an insignificant correlation with online learning satisfaction. Thirdly, the total effect of online learning satisfaction was as follows. Course production had the greatest effect, followed by course activities and student-student interactions, followed by course materials. It was the learning evaluation that showed the least effect. This study can provide empirical reference for college teachers on how to continuously improve online teaching and increase students' satisfaction with online learning.

• 지식경영연구
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• 제10권1호
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• pp.17-32
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• 2009

Cyber University has been continuously increased since it is of great necessity of education through lifelong study. Recently, the management of cyber universities does not ensure education success, because some problems are coming out. Now we are to take an interest in qualitative level of e-learning. The purpose of this study is to classify and investigate interaction factors of e-learning, which were one of the restrictions to develop e-learning, influence learning flow and satisfaction. The authors discuss the implications of the findings for interaction and learning flow theory and practice.

• 한국병원경영학회지
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• 제9권2호
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• pp.1-22
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• 2004

This study was designed to suggest a learning organization in a medical center by examining the factors to influence effectiveness of the learning organization. We collected the data of 586 persons who participated once or more times in the learning organization managed from 2000 to 2002 by Y Medical Center located in Seoul, and included the data of 285 persons in the final analysis. The results of the study are summarized as follows. First, as the results of examining the regression coefficients to predict the effectiveness of and satisfaction with the learning organization through the learning level, learning method and learning organization constructing level as the general variables, the important influential factors were shown as follows: 1)knowledge creation, knowledge storing, private learning, organizational learning, and learning organization construction of occupational and human levels as the factors to predict the working competency; 2) learning organization construction of the human level as the factors to assume the duty satisfaction; 3) gender, working years, private learning, team learning and organizational construction level for the prediction of the organizational commitment; and 4) medical technical service, knowledge creation, organization learning, and constructing level of the environmental and human levels for the assumption of the satisfaction with experience in the learning organization. Based on the study results of the effects in managing the learning organization, we can conclude the followings. First, the members who are in various working positions and occupations need to continuously participate in the learning organization. Second, to raise the organizational outcome from the management of the learning organization, it is necessary to establish systematic concepts in the constituents of the organizational effectiveness such as working competency improvement, duty satisfaction and organizational commitment, and the experience satisfaction of the learning organization. Finally, the future of the organization depends on the learning competencies of the organization members. To continuously exist and develop the organization, the private learning of the organizational members should be constantly spread and shared over the organizational level, and the usual innovations such as repetitive and habitual organizational learning should be generally tried out throughout the whole field of the management.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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• pp.186-189
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• 1990

The automization of manufacturing lines may be accomplished by replacing the human operator with computer system. This paper describes an idea to fully automize the razor qrinding process. Now, in this system, to control the process, human operator must estimate the qrinded states and control the grinding machine continuously. We propose two methods to automize this process by using CMAC memory. One is about learning expert-rules without direct communication with operator. And the other is complete self-learning method based on CMAC's learning algorithm. These ideas may be applied for another manufacturing processes.

• 한국정보처리학회논문지
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• 제4권7호
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• pp.1759-1769
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• 1997

다층신경회로망의 학습방법인 오류역전도 알고리즘은 연관기억장치, 음성인식, 패턴인식, 로보틱스등과 같은 다양한 응용분야에 널리 사용되고 있다. 그럼에도 불구하고 계속 많은 논문들이 역전도 알고리즘에 대해 발표되고 있는 실정이다. 이러한 연구 동향의 주된 이유는, 뉴런 갯수와 학습 패턴의 갯수가 큰 경우에 역전도 알고리즘의 학습속도가 상당히 느리다는 사실때문이다. 본 연구에서는 가변학습율, 가변모멘텀율, 그리고 시그모이드 함수의 가변기울기를 이용한 새로운 학습속도 가속기법을 개발하였다. 학습이 수행되는 도중에, 이러한 파라메터들은 전체 오류의 변화량에 따라 연속적으로 조정되며, 제안된 기법은 기존의 역전도 알고리즘에 비해 획기적으로 학습시간을 단축시키는 결과를 보였다. 제안된 기법의 효율성을 입증하기 위하여, 처음에는 난수발생기로 생성한 이진 데이터를 이용하여 에포크(epoch) 횟수를 비교할 때 훌륭한 속도 향상을 보였으며, 또한, 기계학습(machine learning)의 벤치마크 학습자료로 많이 사용되는 이진 Monk's data, 4, 5, 6, 7비트 패리티 검사 문제와 실수 Iris data에도 적용하였다.

• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.408-421
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• 2015

Because the wheel of V-belt continuously variable transmission (CVT) system driven by permanent magnet synchronous motor (PMSM) has much unknown nonlinear and time-varying characteristics, the better control performance design for the linear control design is a time consuming job. In order to overcome difficulties for design of the linear controllers, a hybrid recurrent Chebyshev neural network (NN) control system is proposed to control for a PMSM servo-driven V-belt CVT system under the occurrence of the lumped nonlinear load disturbances. The hybrid recurrent Chebyshev NN control system consists of an inspector control, a recurrent Chebyshev NN control with adaptive law and a recouped control. Moreover, the online parameters tuning methodology of adaptive law in the recurrent Chebyshev NN can be derived according to the Lyapunov stability theorem and the gradient descent method. Furthermore, the optimal learning rate of the parameters based on discrete-type Lyapunov function is derived to achieve fast convergence. The recurrent Chebyshev NN with fast convergence has the online learning ability to respond to the system's nonlinear and time-varying behaviors. Finally, to show the effectiveness of the proposed control scheme, comparative studies are demonstrated by experimental results.

• 한국초등과학교육학회지:초등과학교육
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• 제25권1호
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• pp.15-26
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• 2006

This study investigated the characteristics of contents of the Atmosphere and Weather in the elementary science curriculum. For this study, elementary science textbooks reflecting the elementary science curriculum from 1st to 7th were analyzed with a number of tools. The results were as follows: Several parts of the contents about Atmosphere and Weather were dealt continuously through the all of science curriculum. Atmospheric Pressure, Humidity and Atmospheric Pressure and Weather were applied at the fifth grade above continuously. And Cloud$\cdot$Fog$\cdot$Dew was applied at the third and fifth grade. Quantity of learning about Atmosphere was more than it's of Weather always. Especially, Movement of Atmosphere and Temperature Change were maintained continuously above $10\%$ of the contents about Atmosphere and Weather. Some of the detailed learning themes related Atmosphere and Weather were dealt commonly through the all of the elementary science curriculum. Finally, the results showed that the contents of Physical Nature of Atmosphere, Atmospheric Pressure, Movement of Atmosphere, Temperature and it's Change and Cloud$\cdot$Fog$\cdot$Dew had been learned always with the experiments and practical training.