• The Journal of the Korea Contents Association
• /
• v.5 no.6
• /
• pp.301-308
• /
• 2005

Through the development of the Internet and multimedia systems, usage of cyber education with multimedia contents is increasing. On-line education differs from face-to-face education in that it overcomes the limits of the time and space, and supports a repeated self study at the student's study level while using several media and educational contents. In this paper, we will design and implement e-commerce educational content which is effective for students and useful for the process of cyber education. In addition, we will produce statistics from a questionnaire which questioned students on the effectiveness of the content.

• Journal of the Korea Convergence Society
• /
• v.10 no.12
• /
• pp.453-463
• /
• 2019

The purpose of study was the non-equivalent control group pretest-posttest design to test the effect of self-directed nursing practice based peer-tutoring of same sophomore, on the level of confidence, performance and self-efficacy of core nursing skills in nursing students. The subjects were 68 nursing students in K City from May 1^th to June 12^th in 2019. The participants were shared into the peer tutoring practice group (experimental group, n=34) and the lecturer guided practice group (control group, n=34). The results of study, the experimental group scored significantly higher on the foley catheterization performance (t=11.60, p<.001), confidence (t=4.123, p<.001) and wearing protection equipment performance (t=5.91, p<.001), confidence (t=4.24, p<.001) and enema performance (t=2.82, p=.008), confidence (t=2.09, p=.044) and self-efficacy (t=4.52, p<.001) than control group. Therefore, the results justified that self-directed nursing practice based peer-tutoring could be effective in improving the performance, confidence and self-efficacy of core nursing skills in nursing students. Based on this, I suggest the study that examines the effects of peer-tutoring by applying it to various majors.

• Journal of The Korean Association of Information Education
• /
• v.13 no.2
• /
• pp.193-204
• /
• 2009

This study examines the effects of cyber learning counseling based on self-reflective activities on learning motivation and habits of elementary students. From the above processes, following findings could be drawn: First, the cyber learning counseling based on self-reflective activities turned out to have positive effects on promoting the motivation of elementary students for learning. Positive impacts were found in 4 sub-factors of motivation for learning, that are, attention, relevance, conviction and satisfaction that were enhanced after cyber counseling for learning was given. Second, the cyber learning counseling based on self-reflective activities were found to have positive effects on changing elementary students' habit of learning. After cyber learning counseling was carried out, Positive impacts were visible in sub-factors of learning habit which are the behavioral indexes of applying learning skill and student-initiated behavior.

• 전기의세계
• /
• v.46 no.3
• /
• pp.20-25
• /
• 1997

자율주행시스템은 복잡한 환경에서 효과적인 주행을 위해서 센서를 통해 주변의 정보를 수집하고 주변환경에 적절한 동작을 취해야 한다. 이러한 자율주행시스템에 지능적인 방법을 통하여 새롭게 제안한 방법을 서술하였다. 퍼지 논리를 이용하여 운전자와 같이 차량이 차선을 따라 주행하기 위한 퍼지 논리 제어기(FLC)가 설계되었다. 함축적인 차량모델을 기반으로 설계한 퍼지 논리 제어기가 복잡하고 정확한 차량모델을 기반으로 설계된 PID나 FSLQ 제어기와 동등한 성능을 발휘하였다. 인간의 운전방법을 학습할 수 있는 신경회로망을 이용하여 자율주행시스템에 적용하였다. 퍼지 신경회로망은 인간의 제어특성을 반영하도록 설계되었으며 자동으로 생성된 제어기는 퍼지 논리 제어나 신경회로망의 기법보다 우수한 성능을 발휘하였다. 퍼지 논리, 신경회로망, 유전자 알고리즘 등의 인간의 지능 모델에 기초를 둔 방법을 자율주행차량의 제어에 도입하므로써 기존의 자율주행시스템의 문제점을 극복하는데 주요한 역할을 하였다. 앞으로 퍼지 논리, 신경회로망, 유전자 알고리즘은 각각의 강점을 융합하거나, 고전적인 제어 알고리즘과 결합하므로써 더욱 우수한 성능을 발휘할 것으로 예상된다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.430-431
• /
• 2022

자율주행 차량의 성능을 검증하기 위해서는 다양한 검증용 시나리오가 필요하기 때문에 최근에는 검증용 시나리오를 자동으로 생성하기 위한 연구들이 수행되고 있다. 실세계에서 발생되는 다양한 현상을 반영한 시나리오를 생성하기 위해서는 자율주행 차량의 주변 상황에 대한 측정이 필요하지만, 공간적인 문제로 한계가 발생한다. 이와 같은 데이터 수집의 어려움을 자율주행 차량에 탑재된 블랙박스의 영상을 통해서 생성하는 것이 가능하다. 본 논문에서는 DRQN을 이용하여 자율주행 차량 사고영역을 자동으로 탐지하는 방법을 제안한다. 동영상에서 추출된 프레임을 분석해서 교통사고 원도우의 초기 위치를 설정한다. DRQN 학습 프레임워크로 차량의 특징을 도출한다. 마지막으로 특징을 기반으로 교통사고 원도우의 크기와 위치를 조정해서 교통사고 영역을 정확하게 찾는다.

• Journal of Engineering Education Research
• /
• v.8 no.1
• /
• pp.71-83
• /
• 2005

This paper presents an internet-based self-learning educational system which can be enhancing efficiency in the learning process of Java language. The proposed self-learning educational system is called Java Web Player(JWP), which is a Java application program and is executable through Java Web Start technologies. Also, three important sequential learning processes : concept learning process, programming practice process and assessment process are integrated in the proposed JWP using Java Web Start technologies. This JWP enables the learners to achieve efficient and interesting self-learning since the learning process is designed to enhance the multimedia capabilities on the basis of various educational technologies. Furthermore, internet-based on-line voice presentation and its related texts together with moving images are synchronized for efficient language learning process. Also, a simple and useful Java compiler is included in the JWP for providing language practice environment such as coding, editing, executing and debugging Java source files. Finally, repeated practice can make the learners to understand easily the key concepts of Java language. Simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box. This assessment process is very essential to increase the learner's academic capability.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.7 no.1
• /
• pp.57-66
• /
• 2012

This paper analyzes the relationships between knowledge-centered culture, learning process, and knowledge/learning outcomes. Knowledge management researches have emphasized the important role of a knowledge-centered culture in venture business. After a literature review, research model is developed and the research hypothesis is made. And then, the hypothesis is tested using regression analysis with data collected from venture firms. The results of the empirical study show that cooperative learning does not strengthen the knowledge outcomes on the autonomy and organizational climate of knowledge-centered culture.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.05a
• /
• pp.269-272
• /
• 2003

웹을 이용한 교수-학습모형인 WBI 학습을 촉진시키기 위해서 교육전문가에 의해 검증된 학습자료를 효율적으로 관리하는 시스템을 구축하고, 사용자가 원하는 문서를 추정하여 제시한다. 사용자가 참조한 문서들에 대하여 에이전트가 추가, 삭제 등을 자율적으로 하며, 참조 문서간의 유사도를 측정한다. 이 유사도를 이용하여 적합한 문서를 추정하고 제시함으로서 사용자의 불명확한 정보요구에도 적합한 문서를 제공할 수 있다. 따라서, 사용자의 정보수집을 지원하고 웹을 통한 학습환경을 개선하여 WBI 학습을 촉진시킬 수 있다.

• Journal of Internet Computing and Services
• /
• v.25 no.2
• /
• pp.21-28
• /
• 2024

Radar is an essential sensor component in autonomous vehicles, and the market for radar applications in this context is steadily expanding with a growing variety of products. In this study, we aimed to enhance the stability and performance of radar systems by developing and evaluating a radar performance prediction model that can predict radar defects. We selected seven machine learning and deep learning algorithms and trained the model with a total of 49 input data types. Ultimately, when we employed an ensemble of 17 models, it exhibited the highest performance. We anticipate that these research findings will assist in predicting product defects at the production stage, thereby maximizing production yield and minimizing the costs associated with defective products.

• Journal of Korea Society of Industrial Information Systems
• /
• v.26 no.4
• /
• pp.11-18
• /
• 2021

We propose a method that combines learning in a virtual environment and a real environment for indoor autonomous driving through reinforcement learning. In case of learning only in the real environment, it takes about 80 hours, but in case of learning in both the real and virtual environments, it takes 40 hours. There is an advantage in that it is possible to obtain optimized parameters through various experiments through fast learning while learning in a virtual environment and a real environment in parallel. After configuring a virtual environment using indoor hallway images, prior learning was carried out on the desktop, and learning in the real environment was conducted by connecting various sensors based on Jetson Xavier. In addition, in order to solve the accuracy problem according to the repeated texture of the indoor corridor environment, it was possible to determine the corridor wall object and increase the accuracy by learning the feature point detection that emphasizes the lower line of the corridor wall. As the learning progresses, the experimental vehicle drives based on the center of the corridor in an indoor corridor environment and moves through an average of 70 steering commands.