• Journal of Information Processing Systems
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• 제10권3호
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• pp.335-354
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• 2014

The accuracy of training-based activity recognition depends on the training procedure and the extent to which the training dataset comprehensively represents the activity and its varieties. Additionally, training incurs substantial cost and effort in the process of collecting training data. To address these limitations, we have developed a training-free activity recognition approach based on a fuzzy logic algorithm that utilizes a generic activity model and an associated activity semantic knowledge. The approach is validated through experimentation with real activity datasets. Results show that the fuzzy logic based algorithms exhibit comparable or better accuracy than other training-based approaches.

• 산업기술연구
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• 제31권A호
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• pp.63-69
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• 2011

A home-based rehabilitation system for patients with uncomfortable hands or arms was developed. By using this system, patients can save time and money of going to the hospital. The system's interface is easy to manipulate. In this paper, we discuss a rehabilitation system using video recognition; the focus is on designing a convenient user interface and rehabilitation training methods. The system consists of two screens: one for recording user's information and the other for training. A first-time user inputs his/her information. The system chooses the training method based on the information and records the training process automatically using video recognition. On the training screen, video clips of the training method and help messages are displayed for the user.

• 한국CDE학회논문집
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• 제14권4호
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• pp.271-280
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• 2009

An experience based training system concerning various fire situations which may result many casualties has been required to make rapid decision and improve the responsiveness. Recently, the necessity of virtual reality (VR) based training system which can replace a dangerous full-scale fire training and be easily adopted to the training or evaluation process is increasing. This study constructed tile virtual environment according to pre-defined scenarios, utilized the FDS(Fire Dynamics Simulator), three dimensional computational fire analysis program, to derive numerically simulated data on the propagation of fire. Finally, by visualizing the realistic fire and smoke behavior through virtual reality technique and implementing real-time interaction, we developed a VR-based fire training simulator. Also, in order to ensure the sense for tile real of a virtual world and reaI-time performance at the same time, we proposed appropriate data processing and space search algorithms, demonstrate d the value of proposed method through experiments.

• 제어로봇시스템학회논문지
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• 제3권5호
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• pp.526-531
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• 1997

To control nonlinear chemical processes, a new neural linearizing control scheme is proposed. This is a hybrid of a radial basis function(RBF) network and a linear controller, thus the control action applied to the process is the sum of both control actions. Firstly, to train the RBF newtork a linear reference model is determined by analyzing the past operating data of the process. Then, the training of the RBF newtork is iteratively performed to minimize the difference between outputs of the process and the linear reference model. As a result, the apparent dynamics of the process added by the RBF newtork becomes similar to that of the linear reference model. After training, the original nonlinear control problem changes to a linear one, and the closed-loop control performance is improved by using the optimum tuning parameters of the linear controller for the linear dynamics. The proposed control scheme performs control and training simultaneously, and shows a good control performance for nonlinear chemical processes.

• 소성∙가공
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• 제29권4호
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• pp.218-228
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• 2020

The prediction of final mass and optimized process conditions of injection molded products using Artificial Neural Network (ANN) were demonstrated. The ANN was modeled with 10 input parameters and one output parameter (mass). The input parameters, i.e.; melt temperature, mold temperature, injection speed, packing pressure, packing time, cooling time, back pressure, plastification speed, V/P switchover, and suck back were selected. To generate training data for the ANN model, 77 experiments based on the combination of orthogonal sampling and random sampling were performed. The collected training data were normalized to eliminate scale differences between factors to improve the prediction performance of the ANN model. Grid search and random search method were used to find the optimized hyper-parameter of the ANN model. After the training of ANN model, optimized process conditions that satisfied the target mass of 41.14 g were predicted. The predicted process conditions were verified through actual injection molding experiments. Through the verification, it was found that the average deviation in the optimized conditions was 0.15±0.07 g. This value confirms that our proposed procedure can successfully predict the optimized process conditions for the target mass of injection molded products.

• 한국가스학회지
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• 제9권2호
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• pp.22-27
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• 2005

본 연구에서는 LNG로부터 냉열을 활용하여 $^{13}CH_4$과 $^{12}CH_4$을 분리하는 초저온 증류 공정에 대한 전산 모사를 분석한 것이다. 사용한 전산 모사 프로그램은 short-cut 방법으로 사용되는 Smoker식과 FUG(Fenske-Underwood-Gilliland) 방법 두가지를 활용하여 실시하였다. 일반적으로 탄소 동위원소 분리에 대한 기술은 많은 방법들이 연구중에 있으며, 특히 초저온 증류 공정에 의한 분리는 많은 장점으로 인해 상업적으로 활용되고 있다.

• 한국전자거래학회지
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• 제14권3호
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• pp.107-129
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• 2009

e-비즈니스를 이행하는 사람은 정보기술과 비즈니스 프로세스를 이해하여야 한다. 현행 정책과 시스템은 국내 e-비즈니스 인력양성을 위하여 새로운 변화가 이루어져야 한다. 새로운 차원에서 변화를 충족하기 위하여 현재의 인력양성에 대한 정의와 인력분류를 이행하였다. e-비즈니스 인력의 교육과정에 대한 역량 및 프로그램 개발은 신입사원, 전문가, 관리자, 경영자의 과정으로 분류하였다. 그리고 그 과정은 대학에서 전공과 기업에서 수행하는 업무와 기능에 따라 10가지 세부 직무를 구분하였다. 세부 직무에 필요한 역량을 ASK(Attitude, Skill, Knowledge)모델로 제시하여 프로그램 개발에 대한 초점을 맞추었다.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.252-258
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• 2022

Globalization, development of the information society, intensification of migration processes, and internationalization of education in recent years have significantly affected the international labour market and increased competition between professionals in various fields. Academic, research and teaching staff are currently facing rapid changes and growing demand for quality educational services. Under such conditions, educational institutions around the world pay particular attention to improving the quality of the educational process in order for their graduates to be able to compete in the international labour market. The study of the experience of teachers' professional training in advanced countries opens new opportunities for improving the system of pedagogical training in Ukraine in order to adapt it to the requirements of the European educational space. The progressive achievements of countries demonstrating a high level of teachers' professional training in accordance with international standards, having rich historical educational traditions are of considerable scientific interest; consequently, this contributes to their leadership in science and education at the regional and global levels. The purpose of the present academic paper lies in analysing the latest trends in exploring teaching experience in the European countries and performance review of passing by students and teachers of the program on studying of pedagogical practice and experience of teaching in the countries of Europe. Methodology. Analytical and empirical (questionnaire) methods were used in the research process. Results. According to the obtained results of the research, the advantages, the most common areas of educational programs and the wishes of the participants regarding the practical implementation of the experience were identified.

• 영재교육연구
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• 제12권2호
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• pp.93-125
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• 2002

본 연구는 영재교육 담당 교원이 갖추어야 할 이상적인 자질을 탐색하고, 이러한 자질을 갖춘 교원을 양성하고 임용할 수 있는 바람직한 제도를 제시하고 있다. 영재교육 담당 교원이 갖추어야 할 자질은 문헌 연구와 개발원의 설문조사 결과를 토대로 분석하였다. 영재교육 담당 교원이 갖추어야 할 자질을 영재교육에 대한 철학적 이해와 사명감, 전문적 자질, 인성적 자질의 세 측면에서 정리하여 제시하였다. 우리나라와 외국에서 현재 취하고 있는 영재교육 담당 교원 양성 및 임용 제도 현황을 분석하였으며, 외국의 사례로는 미국과 싱가포르를 제시하였다. 우리나라에서 우수한 자질을 갖춘 영재교육 담당 교원을 양성하고 임용할 수 있는 제도적 개선 방안을 제시하였다.

• 한국정보통신학회논문지
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• 제25권10호
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• pp.1427-1434
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• 2021

본 연구는 사회성 상호작용 훈련자극에 반응하는 아동의 행동 및 정서적 긴장상태를 연산하는 심리반응 상태 추정 프로세스를 제안한다. 행동 중재에 필요한 훈련자극으로는 공동 주의(Joint attention) 사회성 훈련을 채택하고, 훈련프로토콜은 불연속 개별시도 훈련(DTT: Discrete trial training)기법이 적용된다. 공동 주의 훈련에서 사용자의 집중과 긴장 정도를 확인하기 위해 3가지 훈련자극용 콘텐츠를 구성한 후, 캐릭터 형태의 탁상 로봇을 이용하여 사용자에게 훈련자극을 수행하게 된다. 그런 다음, 비전 기반 헤드 포즈 인식기와 기하학 연산모델로 사용자 응시반응을 추정하고, PPG와 GSR의 생체신호를 심박변이도와 히스토그램 기법으로 신경계 반응을 분석한다. 로봇을 활용한 실험에서 공동 주의에 대한 각 콘텐츠 별 훈련에 사용자의 심리반응을 정량화 할 수 있음을 확인하였다.