• Structural Engineering and Mechanics
• /
• v.53 no.4
• /
• pp.833-845
• /
• 2015

Natural frequencies of the structural systems should be far away from the excitation frequency in order to avoid or reduce the destructive effects of dynamic loads on structures. To accomplish this goal, a structural optimization on size and shape has been performed considering frequency constraints. Such an optimization problem has highly nonlinear property. Thus, the quality of the solution is not independent of the optimization technique to be applied. This study presents the performance evaluation of the recently proposed meta-heuristic algorithm called Teaching Learning Based Optimization (TLBO) as an optimization engine in the weight optimization of the truss structures under frequency constraints. Some examples regarding the optimization of trusses on shape and size with frequency constraints are solved. Also, the results obtained are tabulated for comparison. The results demonstrated that the performance of the TLBO is satisfactory. Additionally, TLBO is better than other methods in some cases.

• Journal of Korean Elementary Science Education
• /
• v.17 no.1
• /
• pp.61-73
• /
• 1998

This research suggests science inquiry play of analogy as a teaming method to help the students in concrete operational stage to develop scientific thinking skills and to understand abstract science conceptions. The research focuses on/considers the characteristics and merits of the science inquiry plays, and the learning method by analogical reasoning. This learning through the science inquiry play of analogy can be considered as a meta-model for scientific thinking skill. The learning has the following processes: 1) Students analogize the abstract science conceptions and facts into play-type activities including the concrete contents such as students themselves, their physical-sensory motions, concrete objects, play methods, and play rules. 2) Students as analogized objects play a role physically and sensuously according to the methods and rules analogized in the play. 3) Students find out the concrete contents included in the science inquiry play of analogy, draw the results, and deduce the new conceptions from the results by reflective thinking and analogical reasoning.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.01a
• /
• pp.179-180
• /
• 2016

2015 개정 교육과정에 따라 초등학교 및 중학교에 프로그래밍 교육이 필수로 도입된다. 그러나 과거 5차 교육과정에도 프로그래밍 교육이 도입되었지만 지속되지 못했다. 프로그래밍 교육이 지속 가능하기 위해서는 다양한 요인을 고려하여 프로그래밍 학습 환경을 설계해야한다. 특히 학생들의 흥미, 관심, 그리고 긍정적인 태도등의 정의적 요인을 고려하여 교수학습 방법을 적용하는 것이 중요하다. 본 연구는 학생들에게 프로그래밍 교육을 어떻게 가르치는 것이 정의적 영역에 긍정적인 영향을 주는지 다양한 프로그래밍 교육 연구를 메타 분석하여 시사점을 제시하고자 하였다. 이를 위해 학습자들이 프로그래밍 교육을 통해 얻은 정의적 영역의 교육 효과를 교수학습 방법별로 메타 분석하였다. 프로그래밍 교육과 관련하여 수집한 연구 논문은 메타 분석 방법에 따라 단계별로 연구 자료를 추출하고 선정하는 절차를 통해 분석하였다.

• Communications for Statistical Applications and Methods
• /
• v.31 no.3
• /
• pp.279-289
• /
• 2024

Familial searching is a useful technique in a forensic investigation. Using genetic information, it is possible to identify individuals, determine familial relationships, and obtain racial/ethnic information. The total number of shared alleles (TNSA) and likelihood ratio (LR) methods have traditionally been used, and novel data-mining classification methods have recently been applied here as well. However, it is difficult to apply these methods to identify familial relationships above the third degree (e.g., uncle-nephew and first cousins). Therefore, we propose to apply a stacking ensemble machine learning algorithm to improve the accuracy of familial relationship identification. Using real data analysis, we obtain superior relationship identification results when applying meta-classifiers with a stacking algorithm rather than applying traditional TNSA or LR methods and data mining techniques.

• Journal of Digital Convergence
• /
• v.13 no.9
• /
• pp.243-250
• /
• 2015

Mobile learning content implementing is IT tourism convergence study that IT convergence IT and tourism. Learning to increase the effectiveness of mobile learning content for each learning module, It proposed u-smart tourist information 2.0 systems. Mobile learning content, implementation is u-smart tourist information 2.0 can use the system. Convergence/integration of design patterns and XML is so interesting to students. This is the maximum benefit which is taught classes for each learning module divided into learning the Design Pattern NCS. As a result, the learner. In particular, attendance has come out better the effect of learning and improved. Another advantage is tourism, information content information quality mobile learning content for and construct a tourist information content that you can do in real time. Also, mobile learning content, implementation in the next NCS expected to use a lot of help in learning. This study is the result of increased learning the analysis of the lessons learned. Implement mobile learning content gives fun and interesting to the learner to ten design process using the u-Smart Tourist Information class 2.0.

• The KIPS Transactions:PartD
• /
• v.13D no.7 s.110
• /
• pp.931-938
• /
• 2006

It is important to operate an education resources which could be integrated to an system. But most of existing education information system was not developed with standardization. It is need the core education asset and reusable education service to make a good education system. Consequently, it is needed to use Sharable Content Object Reference Model(SCORM) based contents managing in order to reuse the contents of education. And it needs assembling and producing method with reusable core asset of education system to develop the application program for education. In this thesis, we study the Teaching-Learning supporting system to support systematic education resources. Teaching-Learning support system is developed of educational domain assess through development process based on Model Driven Architecture(MDA) and core asset on each stage. Application program of education is developed using MDA automatic tool through analyzing and designing for contents storage which is based on contents meta model. We finally can develop the application software of education with low cost and high productivity by raising the reusability of education contents and by using the core asset to the whole development process.

• Journal of the Korea Convergence Society
• /
• v.9 no.11
• /
• pp.23-28
• /
• 2018

Recent approaches to Relation Extraction methods mostly tend to be limited to mention level relation extractions. These types of methods, while featuring high performances, can only extract relations limited to a single sentence or so. The inability to extract these kinds of data is a terrible amount of information loss. To tackle this problem this paper presents an Augmented External Memory Neural Network model to enable Global Relation Extraction. the proposed model's Global relation extraction is done by first gathering and analyzing the mention level relation extraction by the Augmented External Memory. Additionally the proposed model shows high level of performances in korean due to the fact it can take the often omitted subjects and objectives into consideration.

• Journal of Gifted/Talented Education
• /
• v.21 no.3
• /
• pp.611-630
• /
• 2011

The purpose of the study was to investigate which psychological factors influence on the gifted students' achievement. As a psychological factor, self-determination, learning goal-orientation, self-efficacy, belief of intelligence, and self-regulated learning strategy were examined. The difference in psychological factors between the gifted with high achievement and the gifted with low achievement was to explored. For the study 128 gifted students' data from second-year data of Korean Education Longitudinal Study (KELS) were selected and analyzed. The findings indicate that the predictors of gifted students' achievement are extrinsic regulation, identified regulation, mastery-approach goal, self-efficacy, elaboration, and meta-cognition factor. Especially, the factor of elaboration and identified regulation are the strongest predictors. The findings from t-test analysis indicate that the gifted with low achievement show the low level in self-determination, mastery-approach, self-efficacy, elaboration, meta-cognition, place management and seeking social assistance from teacher. Therefore the developing elaboration, one of regulation learning strategy, is essential to improve the achievement of the gifted students with low scores.

• Journal of the Korea Society of Computer and Information
• /
• v.9 no.3
• /
• pp.115-120
• /
• 2004

As a part of working on development of the learning management system, a adaptive learning management system which is able to provide individual learner with different learning contents or paths customized to learner's learning behaviors by expanding SCORM was proposed in this dissertation. In terms of instructional technology interrelated with technology of CBI and ITS, new learning environments and learner preferences were analyzed. A related laboratory system was implemented by packaging a process on how to expand the meta data for contents and a process on how to utilize the web-based learning contents dynamically. In order to evaluate the usability of the implemented system, a sample content was provided to some selected learners and their learning achievement resulted from the new learning environment was analysed. A result of the experiment indicated that the adaptive learning management system proposed in this dissertation could provide every learner with the different content tailored to their individual learning preference and behavior. and it worked also to promote the learning performance of every learner.

• Communications of Mathematical Education
• /
• v.27 no.4
• /
• pp.407-428
• /
• 2013

The purpose of this research is to develop an effective teaching-learning model and suggest efficient methods for improving the learning abilities in mathematics of the students of engineering college. For this purpose, we examined their learning styles and learning attitudes toward Mathematics, which are important factors in teaching-learning process, and analyzed the relation between them. As a result, we found that participants had a disposition of being dependent and highly participating, so we made an effort to develop a teaching-learning model which can make the students active and highly involved in. After applying the developed teaching-learning model to Engineering Mathematics class for one semester, we conducted survey of the participants' responses. In conclusion, we found that this model is very helpful for Engineering students to utilize a self-directed learning by diagnosing and adjusting their learning process in Meta-cognitive way. Also, it is confirmed that this model has a considerable influence in which students can actively participate in class and have positive attitude to Mathematics learning.