• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2008년도 추계종합학술대회 B
• /
• pp.817-820
• /
• 2008

컴퓨터와 인터넷의 발달은 전통적인 교실교육을 벗어나 시공간을 초월한 사이버 교육을 가능하게 하였다. 그 결과 웹기반 학습환경에서는 학습자의 자기주도적인 학습이 가능하게 되었다. 효율적인 자기주도적 학습환경을 위해서는 학습시 어려움을 느끼는 학습자에게 스캐폴딩(scaffolding)이라는 적절한 도움과 지원을 제공해야 한다. 본 논문에서는 공업계고등학교 정보기술기초교과 컴퓨터의 원리 단원을 선정하여 학습자에게 적절한 스캐폴딩을 제공할 수 있는 웹 콘텐츠를 설계 및 구현한다.

• 산경연구논집
• /
• 제7권4호
• /
• pp.17-31
• /
• 2016

Purpose - The purpose of this study is to discuss problems and propose the direction of the current international university placement program in the country by deriving the concept of and developing questionnaires for 'service satisfaction'. Research design, data, and methodology -The SERVQUAL scale was used to measure the quality of services. In this study reliability, empathy, and assurance are used to measure the quality of the international university placement system, considering the characteristics of the education environment. The survey data is based on responses from 280 students who either have completed the international university placement system and currently studying abroad, or are studying the domestic part of the program. Cronbach's Alpha value was calculated. To verify the hypothesis, the multiple regression analysis was conducted. Results - According to the study, the satisfaction rate of the domestic learning process is heavily relied on reliability and empathy; particularly empathy on the curriculum of the international placement program. The study also found that to make students to feel a high sense of achievement, the satisfaction rate is a priority which should be improved. Conclusions - The results from the analysis of the hypothesis shows that the satisfaction rate of students who are taking the domestic part of the international university placement program should be increased.

• 전자공학회논문지S
• /
• 제35S권4호
• /
• pp.67-75
• /
• 1998

In general, Evoluationary Algorithm(EAs) are refered to as methods of population-based optimization. And EAs are considered as very efficient methods of optimal sytem design because they can provice much opportunity for obtaining the global optimal solution. This paper presents a co-evolution scheme of artifical neural networks, which has two different, still cooperatively working, populations, called as a host popuation and a parasite population, respectively. Using the conventional generatic algorithm the host population is evolved in the given environment, and the parastie population composed of schemata is evolved to find useful schema for the host population. the structure of artificial neural network is a diagonal recurrent neural netork which has self-feedback loops only in its hidden nodes. To find optimal neural networks we should take into account the structure of the neural network as well as the adaptive parameters, weight of neurons. So we use the genetic algorithm that searches the structure of the neural network by the co-evolution mechanism, and for the weights learning we adopted the evolutionary stategies. As a results of co-evolution we will find the optimal structure of the neural network in a short time with a small population. The validity and effectiveness of the proposed method are inspected by applying it to the stabilization and position control of the invered-pendulum system. And we will show that the result of co-evolution is better than that of the conventioal genetic algorithm.

• KIEAE Journal
• /
• 제9권5호
• /
• pp.29-37
• /
• 2009

As with the January 2005 amendment of the Act on Private Participation in Infrastructure, schools are now included in the scope of privately-funded infrastructure projects. According to the announcement made by the Ministry of Education, Science and Technology in 2007, a total of 1.1 billion-won stimulus package has been proposed and is being implemented to operate private investments in social infrastructure helping to secure sufficient educational facilities for a period of five years from 2005 to 2010. Private participation offers first-priority infrastructure in a timely manner, raises efficiency with creative project conception and design, and stimulates economy by tapping into unemployed fund. This study limited its scope to new school construction projects in Gyeonggi Province which have been implemented via BTL system since January 2005. And using field-inspection and interview techniques, the study proposed improvement schemes applicable to the field. The results will be fully incorporated into new school construction projects to be carried out in the future, to help build creative learning space-student-oriented quality structures-where in Korea's leaders of the 21st century knowledge-based society will be educated.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1995년도 하계학술대회 논문집 B
• /
• pp.705-709
• /
• 1995

The objective of this study is to design a multi-layer neural network which controls the position of excavator's attachment. In this paper, a dynamic controller has been developed based on an error back-propagation(BP) neural network. Since the neural network can model an arbitrary nonlinear mapping, it was used as a commanded feedforward input generator. A PD feedback controller is used in parallel with the feedforward neural network to train the system. The neural network was trained by the current state of the excavator as well as the PD feedback error. By using the BP network as a feedforward controller, no a priori knowledge on system dynamics is need. Computer simulation results demonstrate such powerful characteristics of the proposed controller as adaptation to changing environment, robustness to disturbancen and performance improvement with the on-line learning in the position control of excavator attachment.

• 농업과학연구
• /
• 제39권4호
• /
• pp.535-543
• /
• 2012

Botanic gardens are steadily increasing based on people's increased interests in environment and ecology, lengthened leisure hours and improved transportation. However, similar florae and undifferentiated display are considered as problems, while their functions, purposes and characteristics have been more diversified. This study aims to investigate the present conditions and problems of display at botanic gardens and to find out solutions to make them exhibit plants through various ways of display and have their own characteristic, through a case study of seven botanic gardens. As botanic gardens are being recognized as a cultural institution, they should have limitations in the aspect of places that simply collect and exhibit rare plants. The current problems are unclear setting of design goals and communication with visitors. The gardens should escape from the existing supplier-oriented view to a visitor-oriented view, thinking about what the visitors will be able to see and get there. In particular, their display lacks differency, aesthetics, eye-level display, and multi-layered display. In addition to the essential functions of collecting the world's plants, exhibiting them according to purposes and giving scientific learning, botanic gardens should also show a sense of seasons with plants, trigger interests and amusement through unique plants, make visitors more interested in florae and closer to plants, and include social functions. Botanic gardens should be capable of leaning resources display, speciated display, complex and convergent garden-type display, and display fit for local and cultural contexts.

• 한국산학기술학회논문지
• /
• 제12권4호
• /
• pp.1927-1932
• /
• 2011

정보화 교육의 많은 문제점들이 건전한 정보화 사회로 나아가는데 걸림돌이 되고 있지만 정보화 사회로의 변화는 막을 수는 없다. 사회적 환경이 변화함에 따라 가치관이 달라지고 학교 현장에서 교육 방법에 변화가 있기 때문이다. 정보통신기술이 정보화 사회의 원동력이라면 인성교육은 건전한 미래사회를 재구성하는 원동력이다. 정보사회에서 나타나는 정보화의 역기능과 부작용 그리고 교육의 목적을 고려하여 현 교육상황에 적합한 교수학습방법이 필요하게 되었다. 그러므로 본 논문에서는 WBI를 이용한 정보통신 윤리 코스웨어를 개발하여 교수학습에 적용하고자 한다.

• Safety and Health at Work
• /
• 제12권3호
• /
• pp.317-323
• /
• 2021

Background: The surface mining industry has one of the highest fatality rates among private industries in the United States. Despite recent decreases in the fatality rates of comparable industries, the fatality rate in the surface mining industry has increased. Meanwhile, a lack of safety research in surface mining has hindered efforts to improve safety strategies in the surface mining workplace. Method: This study examined quarry workers' hazard identification skills by conducting a case study of a surface mining facility in the Mid-Atlantic region of the United States. Semistructured interviews were conducted with eight quarry workers who were employed at the mine facility. In addition to the interviews, data were collected through field notes, notes from an expert meeting with safety managers, and site photographs to explore quarry workers' safety behaviors in the workplace. Results: The results showed that quarry workers identified hazards and improved their safety performance by translating safety knowledge learned from training into practice, acquiring hands-on work experience, learning from coworkers, and sharing responsibilities among team members. Conclusion: This study contributes to understanding quarry workers' safe performance beyond what they have learned in safety training to include their interaction with other workers and hand-on experience in the workplace. This study informs practitioners in the surface mining industry to build a safe work environment as they design effective safety programs for employees.

• 한국재난정보학회 논문집
• /
• 제15권3호
• /
• pp.367-379
• /
• 2019

연구목적: 본 연구는 기후변화에 따른 재난의 특성을 분석하여 기후위험에 대비하기 위한 관리체계를 제시함을 목적으로 한다. 연구방법: 최근 국내외 자연재난으로 인한 피해의 추이를 분석하고 기후변화에 따른 재난의 특성을 파악함으로써 기후위험을 위한 관리체계를 설계한다. 연구결과: 기후변화에 따른 위험의 불확실성과 다양한 규모의 재난을 고려할 때, 위험의 평가에서부터 목표 설정, 계획 수립, 모니터링 및 평가, 학습과 조정 등의 핵심과정을 포함하는 포괄적 기후위험 관리체계가 요구되며, 이는 이해관계자 참여를 바탕으로 지속적으로 반복되는 체계를 의미한다. 결론: 본 연구에서 제시한 포괄적 기후위험 관리체계를 효과적으로 추진하기 위해 시범사업을 통해 관리체계를 수정 및 보완하고, 필요한 제도적 여건을 마련해야 한다.

• 한국멀티미디어학회논문지
• /
• 제24권5호
• /
• pp.676-683
• /
• 2021

Wi-Fi Round-trip timing (RTT) based location estimation technology estimates the distance between the user and the AP based on the transmission and reception time of the signal. This is because reception instability and signal distortion are greater than that of a Received Signal Strength Indicator (RSSI) based fingerprint in an indoor NLOS environment, resulting in a large position error due to multipath fading. To solve this problem, in this paper, we propose an end-to-end based WiFi Trilateration Net (WTN) that combines neural network-based RTT correction and trilateral positioning network, respectively. The proposed WTN is composed of an RNN-based correction network to improve the RTT distance accuracy and a neural network-based trilateral positioning network for real-time positioning implemented in an end-to-end structure. The proposed network improves learning efficiency by changing the trilateral positioning algorithm, which cannot be learned through differentiation due to mathematical operations, to a neural network. In addition, in order to increase the stability of the TOA based RTT, a correction network is applied in the scanning step to collect reliable distance estimation values from each RTT AP.