• 드라이브 ㆍ 컨트롤
• /
• 제19권2호
• /
• pp.17-26
• /
• 2022

Recently, automatic transmissions caused a good improvement in the shift quality of a forklift. An advanced shift control algorithm, which was based on TCU firmware, was applied with embedded control technology and microcontrollers. In the clutch-to-clutch shifting, one friction element is released and the other friction element is activated. During this process, if the release and application timings are not synchronized, an overrun or tie-up occurs and ultimately leads to a shift shock. The TCU, which measures only the speed of the forklift, inevitably applies the open-loop shift control. In this situation, the speed ratio does not change during the clutch fill. The torque phase occurs until the clutch is disengaged. In this study, an offline shift logic of the learning control was proposed. It induced a synchronous shift when the learning control progressed. During this process, the reference current trajectory of the release clutch was corrected and applied to the next upshift. We considered the results of the overrun/tie-up characteristics of the upshift performed immediately before. The vehicle test proved that the deviation in shift quality, which was caused by the difference in the mechanical characteristics of the clutch, could be improved by the learning control.

• 수산해양교육연구
• /
• 제20권2호
• /
• pp.236-248
• /
• 2008

This study has explored the elements of e-teaching portfolio for enhancing teaching expertise in higher education. This study is carried out through the literature review and expert's focus group interview. As the result of this study, seven elements of e-teaching portfolio for enhancing teaching expertise in higher education have been found. First, 'personal background' include curriculum vitae, course responsibility, and other educational activities. Second, 'teaching philosophy' include the principals on teaching and learning, statements of teaching philosophy. Third, 'learning environment' include the characteristics of students, the previous learning contents, and physical environment. Forth, 'course contents and methods' include teaching strategies and instructional materials, Fifth, 'instructional evaluation' includes the principals of evaluation and the examples of learning outcomes. Sixth, 'endeavor for improvement of instruction' include evidence of activity for teaching improvement and instruction feedback from peer and students. And e-teaching portfolio also includes research career and awards history element.

• 컴퓨터교육학회논문지
• /
• 제14권6호
• /
• pp.53-64
• /
• 2011

본 논문에서는 사례기반 방법을 이용하여 학습자들의 학습 성과를 개선하기 위한 새로운 추천 방법을 제안하고 이를 실험적으로 평가한다. 본 논문에서는 먼저 경북지역의 현직 교사들을 대상으로 설문을 조사하였으며 학습 요인별로 중요도에 따라 학습사례를 구성하였다. 다음에 이러한 조사를 기본으로 하여 수준별 학습사례로 구분하여 학습자들에게 차별화된 학습 방법을 추천하였다. 제안된 학습사례의 실증적 평가를 위해 한 중학교 학생들이 실험에 참여하였다. 학습자의 수준을 고려하여 학생들은 세 개의 그룹으로 나누었으며 각 그룹에 서로 다른 학습사례를 적용하였다. 교사들의 설문 결과를 반영하여 각 그룹에 포함된 학습향상 요소들 간의 가중치를 부여하였다. 제안된 사례기반의 추천 방법을 사용한 실험 결과에 의하면 학습자들의 학업 성취도가 이전에 비해 상당히 향상됨을 보였다.

• 공학교육연구
• /
• 제20권2호
• /
• pp.57-62
• /
• 2017

The purpose of this study is to develop an educational model based on the capacity analysis of college students. In order to measure the learning ability of female science and engineering students, we used various tools to derive core competencies. The competency element of human resources implementation, the element of learning achievement area in the undergraduate education actual condition survey, and the analysis of the learning achievement elements of the engineering certification program were analyzed and the development of teaching method was searched to find ways to increase the competence of female students. In addition, we developed a model that can apply the development of pedagogy in the curriculum to the liberal arts, majors, and comparative courses, and presented the internship in field experience area, the improvement of on the spot learning, and teaching method and guidance to enhance the female students' competence. Also, as a case study of the proposed teaching method, new curriculum of 'Understanding of Big Data' which is the basis of the fourth industrial revolution technology in the second semester of 2016 was developed and applied to the education model. The results of this study are very positive, and we can expect the effectiveness of the new education model to enhance the learning ability and capacity of female students.

• 대한토목학회논문집
• /
• 제41권3호
• /
• pp.277-288
• /
• 2021

IFC 정보의 시멘틱 무결성 확보를 위해 BIM 부재와 IFC 엔티티 간 매핑 검증이 필요하다. 이와 관련된 기존 연구들은 기하정보 기반으로 학습시킨 기계학습 알고리즘을 활용하여 BIM 부재 인식 및 분류를 통해 매핑 검증을 실시하였으나, 유사한 기하특성을 가진 부재를 구분하지 못한다는 한계점이 존재하였다. 이에 본 연구는 BIM 모델의 주요 부재를 인공신경망 기반으로 자동 분류하되, 부재 간 관계정보를 삽입하여 분류성능을 향상시키는 것을 목적으로 하였다. 이를 위해 기존 특성 외에 구조화된 신호를 함께 학습하는 NSL 프레임워크를 활용하여 8개의 BIM 부재를 분류하는 모델을 구축하였으며, 그 결과 기하정보 기반 인공신경망 모델과 대비하여 부재 간 관계정보를 삽입한 NSL 모델의 분류정확도가 현저히 상승한 것을 확인하였다.

• 통상정보연구
• /
• 제9권2호
• /
• pp.103-120
• /
• 2007

The knowledge based economy requires more and more people to learn new knowledge and skills in a timely and effective manner. These needs and new technology such as computer and Internet are fueling a transition in e-learning. According to specialist's opinion, imagination experience studying is generalized, and learning environment that language barrier by studying, multi-language studying Machine that experience past things that disappear through simulation, and travel area, and experience future changed state disappears is forecasting to come. This is previewing finally that it may become future education that education and IT, element of entertainment is combined. Already, became story that argument for party satellite of e-Learning existence passes one season already. e-Learning is utilized already in all educations that we touch by effectiveness by corporation's competitive power improvement and implement of lifelong education in educational institutions through present e-Learning. It is obvious that when see from our viewpoint which is defining e-Learning by one industry and rear by application to education as well as one new growth power about these, e-Learning industry becomes very important means that can solve dilemma of growth real form. Only, special quality of digital industry that e-Learning is being same with other digital industry and repeat putting out a fire rapidly, and is repeating sudden change that these evolution is not gradual growth of accumulation and improvement of technology that is appearing consider need to. In the meantime, we need to observe about evolution of Information Technology. Because there is some scholars who e-Learning's concept foresees to evolve by u-Learning.(although, a person who see that these concept is not more in marketing terminology by some scholars' opinion is). This u-Learning's concept means e-Learning that take advantage of ubiquitous technology as Ubiquitous-Learning's curtailment speech. Ubiquitous, user means Information-Communication surrounding that can connect to network freely regardless of place without feeling network or computer. There is controversy about introduction time regarding these direction, but e-Learning is judged to evolve by u-Learning necessarily. Because keep in step and age that study all contents that learner wants under environment of 3A (any time, any whrer, any device) by individual order thoroughly is foreseen to come in ubiquitous learning environment that approach more festinately.

• 품질경영학회지
• /
• 제45권1호
• /
• pp.11-24
• /
• 2017

Purpose: This study is on the priority for improving students satisfaction in university educational service. It explores the dimension of service quality and analyzes the relationship among quality elements, service satisfaction, and loyalty. Methods: This paper performs empirical studies by questionnaire survey. The Timko model is used for finding the degree of possible improvement of quality elements, and structural equation and regression models are used to analyze the effect of them on service satisfaction and loyalty. Also, explanatory factor analysis is used to investigate the quality determinants. Results: The quality dimension is composed of curriculum, employment support, interaction with outsiders, start-up support, learning support, counselling, and administration service. Curriculum, learning support, and administration service are positively correlated with service satisfaction, and service satisfaction has a positive effect on loyalty. Counselling service is an attractive element, and curriculum, start-up support, and learning support are indifferent elements. Conclusion: Comprehensive analysis shows that curriculum, academic advisor, and administration service have high priorities for improving educational service satisfaction.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제12권1호
• /
• pp.428-439
• /
• 2020

The continuous development of information and communication technologies has resulted in an exponential increase in data. Consequently, technologies related to data analysis are growing in importance. The shipbuilding industry has high production uncertainty and variability, which has created an urgent need for data analysis techniques, such as machine learning. In particular, the industry cannot effectively respond to changes in the production-related standard time information systems, such as the basic cycle time and lead time. Improvement measures are necessary to enable the industry to respond swiftly to changes in the production environment. In this study, the lead times for fabrication, assembly of ship block, spool fabrication and painting were predicted using machine learning technology to propose a new management method for the process lead time using a master data system for the time element in the production data. Data preprocessing was performed in various ways using R and Python, which are open source programming languages, and process variables were selected considering their relationships with the lead time through correlation analysis and analysis of variables. Various machine learning, deep learning, and ensemble learning algorithms were applied to create the lead time prediction models. In addition, the applicability of the proposed machine learning methodology to standard work hour prediction was verified by evaluating the prediction models using the evaluation criteria, such as the Mean Absolute Percentage Error (MAPE) and Root Mean Squared Logarithmic Error (RMSLE).

• 대한지구과학교육학회지
• /
• 제6권1호
• /
• pp.50-59
• /
• 2013

Prezi, which is an implemented software in the form of flash-based online presentation, is considered to be a new appropriate smart-learning tool. This study aimed to investigate an impact of project learning utilizing Prezi on the creativity, attitudes toward science and science process skills of scientific gifted children in elementary school. The results of this study were as follows; First, after project learning utilizing Prezi, their creativity was raised meaningfully, especially in sub-elements of patience, adaptability and variety of interestings. Second, project learning utilizing Prezi showed meaningful effect on their improvement of science process skill, especially in integrated science process skills. Third, project learning utilizing Prezi improved their attitudes toward science meaningfully. In almost sub-elements, except the element of ordinariness of scientist, positive meaningful improvements were showed.

• 한국빅데이터학회지
• /
• 제3권2호
• /
• pp.11-18
• /
• 2018

본 연구는 빅데이터 품질 진단의 핵심 요소인 도메인 기반 품질 진단을 위한 도메인 자동 판별에 관한 연구다. 빅데이터의 가치와 활용도의 증가와 4차 산업혁명의 대두로, 법률, 의료, 금융 등 IT와 융합된 다양한 분야에서 빅데이터를 활용하여 새로운 가치를 창출하려는 노력을 진행중이다. 하지만, 신뢰도가 낮은 데이터에 기반한 분석은 과정과 결과 모두에서 치명적인 문제를 발생하며, 분석 결과에 따른 판단 또한 신뢰하기 어려워 진다. 이처럼 신뢰도가 높은 데이터의 필요성 또한 증가하였지만, 데이터의 품질 확보에 대한 연구와 그에 대한 결과는 미비하다. 본 연구는 데이터 품질 향상을 위한 진단 평가의 핵심적 요소인 도메인 기반 품질 진단에서, 수작업으로 진행되었던 도메인 판별 작업을 머신러닝을 이용하여 자동화 함으로써, 작업시간을 단축하는 것을 목표로 한다. 데이터 베이스에 저장된, 도메인이 판별되어 있는 데이터의 특성에 관한 정보들을 추출하여 변수화하고, 이를 머신러닝을 이용하여 도메인 판별을 자동화 한다. 이를 빅데이터 품질 진단에 활용하고, 품질 향상에 기여하도록 한다.