• Journal of Korea Society of Industrial Information Systems
• /
• v.12 no.5
• /
• pp.71-85
• /
• 2007

In recent years, the need of the education for the Internet ethics is emphasized as the number of offenses committed by juveniles is increasing. So many researches on the methodologies about educating the Internet ethics have been being performed But, those are not competent to make young people inspire the sense of ethics in the cyber-space because they get trained by the cramming system of education with a textbook in their schools. In this paper, we developed a web-based learning model and an learning system including various multimedia materials that induce the learners for ethics to study actively. And then we applied our system to school education for the Internet ethics, and verified the effectiveness of our learning model and system.

• The Journal of Korean Association of Computer Education
• /
• v.19 no.3
• /
• pp.21-34
• /
• 2016

This study aims to develop user experience based mathematical program for self-directed learning. To meet its aim this program is designed and developed according to the process and method of 'ADDIE', general design model of education program. The features of this program are as follows. First, teacher can set questions conveniently through intuitive system of web and learner can solve questions at anytime and anywhere through instant access to application. Second, learner can solve different types of questions based on powerful question database and teacher can provide instantaneous feedback on them. Third, learner's circulation learning can be possible by utilizing paper-video explanation and wrong answer note and teacher supports learner's active learning management though group achievement management.

• The KIPS Transactions:PartB
• /
• v.10B no.7
• /
• pp.795-802
• /
• 2003

To live autonomously, intelligent agents such as robots or virtual characters need ability that recognizes given environment, and learns and chooses adaptive actions. So, we propose an action selection/learning mechanism in intelligent agents. The proposed mechanism employs a hybrid system which integrates a behavior-based method using the reinforcement learning and a cognitive-based method using the symbolic learning. The characteristics of our mechanism are as follows. First, because it learns adaptive actions about environment using reinforcement learning, our agents have flexibility about environmental changes. Second, because it learns environmental factors for the agent's goals using inductive machine learning and association rules, the agent learns and selects appropriate actions faster in given surrounding and more efficiently in extended surroundings. Third, in implementing the intelligent agents, we considers only the recognized states which are found by a state detector rather than by all states. Because this method consider only necessary states, we can reduce the space of memory. And because it represents and processes new states dynamically, we can cope with the change of environment spontaneously.

• Convergence Security Journal
• /
• v.7 no.2
• /
• pp.9-16
• /
• 2007

In today's society, the paradigm is converted to information where both this and knowledge become the source of value added. In order to answer societies' needs school education is subject to a large change, that is 'from supplier-centered learners to demand-centered learners'. This study is the design and implementation of multimedia CAI program for learning about electricity in the meddle school the mechanics curriculum with a focus in generating electricity. Based on multimedia, software, educational utilization of the multimedia, CAI, learning theory and form, both technology and multimedia elements related to curriculum are analyzed. This title is composed of object, contents, evaluation and related sites every chapter for students to study. Also, it is designed for students to take interest and participate in the learning process actively by combining lots of media such as characters, sound, images and animation. Specially it is composed in a way of repetition according to the student's level.

• Journal of Digital Convergence
• /
• v.10 no.4
• /
• pp.323-331
• /
• 2012

Cell division in biological education is an important and unintelligible unit. Most of students have no interest in learning the content, and don't concentrate on it because cell division unit contains relatively difficult content. In this vein, during considering the effective learning methods, the researcher found role-play as the method for student's positive access to important and unintelligent learning content. Effect of role-play on their learning achievement of science was analysed through the Chapter of cell division on 3rd grade of middle school students. For this study three levels of middle school students were selected from the school located in Seoul. And divided this students into experiment group and control group by 2 classes respectively. Before putting into practice this instruction, there took into account the before and after of students' learning achievement and their learning attitude by using same questionnaire. On the other hand, the researcher put into practice co-variate analysis by using SPSS statistical package as the measurement method.

• Journal of Convergence for Information Technology
• /
• v.10 no.8
• /
• pp.161-172
• /
• 2020

The purpose of this study is to compare students' perception shaped by two different university classrooms: Traditional Classroom and ALC(Active learning classroom). We conducted survey of 71 university students who were taught by an identical instructor using same pedagogy. The survey questionnaires asked respondents about their perceptions on teaching and learning and physical environments relations, teaching proficiency, social context, student satisfaction and immersion. The data was analyzed using Student's T-test. The results showed that ALC group, compared to the traditional classroom group, demonstrated statistically higher awareness on teaching and learning and physical environments relations, teaching proficiency, and instructor-student unofficial relations. Based on these findings, implications and limitations of this study were discussed.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2006.05a
• /
• pp.681-684
• /
• 2006

본 논문은 능동형상모델(Active Shape Model: ASM)을 사용하여 손바닥의 형상을 추출하고 경계형상을 추적하기 위한 방법을 제안한다. 먼저, 경계추적을 위한 초기위치를 입력하기 위해 컬러영상에서 피부색영역의 위치 정보를 통해 중심점을 찾고 그 값을 통해 ASM을 이용하여 손바닥의 영역을 찾는다. ASM은 다양한 경계형상의 학습을 통해 평균값과 형상의 지배적 변형을 나타내는 형상벡터를 추출하기 위한 방법론이며 생체조직과 같은 형상이 일정하지 않고 평균형상을 기준으로 변화하는 형상의 외형을 추출, 추적하기에 적합한 기술이다. 본 논문에서는 피부색 특징을 이용하여 초기 손바닥의 위치를 찾고 이러한 위치정보를 이용하여 손 경계형상의 변화를 추적하는 방법을 실험을 통해 검증하였다

• Journal of Intelligence and Information Systems
• /
• v.8 no.1
• /
• pp.75-85
• /
• 2002

In this paper, we propose an efficient method for recognizing lip. Lip is localized by using the shape of lip and the pixel values around lip contour. The shape of lip is represented by a statistically based active shape model which learns typical lip shape from a training set. Because this model is affected by the initial position, we use a boundary between upper and lower lip as initial position for searching lip. The boundary is localized by using a weighted vector based on lip's shape. The experiments have been performed for many images, and show very encouraging result.

• Proceedings of the KIEE Conference
• /
• 2009.07a
• /
• pp.2029_2030
• /
• 2009

고속철도의 실내소음은 승객들의 질적 서비스와 매우 연관이 깊은 시스템 환경요소라 할 수 있다. 본 논문은 이러한 소음을 저감하기 위한 지능형 알고리즘을 이용한 능동소음제어(ANC; active noise control) 시스템을 제안한다. 우선 철도실내의 소음저감시스템에 대한 기구학적 모델링을 구한 후 철도시스템에 적합한 ANC 기법을 제안한다. 본 논문은 지능형 ANC를 구현하기 위하여 다층 퍼셉트론의 신경회로망 모델을 이용하였으며 실시간으로 소음저감을 위하여 온라인 학습알고리즘을 적용한다. 제안한 ANC 기법의 성능을 검증하기 위하여 시뮬레이션을 실시하였으며 고속 Fourier 변환(FFT) 분석을 통해 소음의 저감정도를 분석한다.

• Transactions of the Korean Society of Mechanical Engineers
• /
• v.18 no.9
• /
• pp.2265-2271
• /
• 1994

With the improvement of standard of living, requirement for comfortable and quiet environment has been increased and, therefore, there has been a many researches for active noise reduction to overcome the limit of passive control method. In this study, active noise control is performed in a duct system using intelligent control technique which needs not decide the coefficients of high order filter and the mathematical modeling of a system. Back propagation algorithm is applied as an intelligent control technique and control system is organized to exclude the error microphone and high speed operational device which are indispensable for conventional active noise control techniques. Furthermore, learning is performed by organizing acoustic feedback model, and the effect of the proposed control technique is verified via computer simulation and experiment of active noise control in a duct system.