• Composites Research
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• v.36 no.6
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• pp.395-401
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• 2023

In this study, finite element modeling of unidirectional composite materials of the computed tomography (CT) was conducted using a supervised learning-based segmentation technique. Firstly, Micro-CT scan was performed to obtain the raw volume of unidirectional composite materials, providing microstructure information. From the CT volume images, actual microstructure of the cross-section of unidirectional composite materials was extracted by the labeling process. Then, a U-net deep learning model was trained with a small number of raw images as inputs and their labeled images as outputs to generate a segmentation model. Subsequently, most of remaining images were input to the trained U-net deep learning model to segment all raw volume for identifying complex microstructure, which was used for the generation of finite element model. Finally, the fiber volume fraction of the finite element model was compared with that of experimentally measured volume to validate the appropriateness of the proposed method.

• Journal of Sasang Constitutional Medicine
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• v.20 no.3
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• pp.1-13
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• 2008

1. Objectives This study was purposed to find Dong's thoughts about the eight items of the "The Great Learning(Ta hsueh)" 2. Methods It was researched through comparative and overall study on the Dong-mu's thoughts in "Gyukchigo(格致藁)" 3. Results (1) Dongmu reinterpreted the eight items of the "The Great Learning(Ta hsueh)" as the relations between the subject and the object from the ontologic assumption of Affairs Mind Body Objects as the principle of existence and correlation, summarized into four categories, and classified into the individual and subjective affairs, and the universal and objective affairs. The four categories of the eight items of the "The Great Learning(Ta hsueh)" are correlated with the individual and the universal ethics of behavior, and connected with the element for overcoming the individual inclination of mind and wickedness. (2) After the individual and subjective human was established, the eight items of the "The Great Learning(Ta hsueh)" were classified into two categories, and coupled up with each two items('Being sincere in their thoughts' with 'Extending to the utmost their knowledge', 'Rectifying their hearts' with 'Investigating things', 'Cultivating their persons' with 'Illustrating illustrious virtue throughout the kingdom', 'Regulating their families' with 'Ordering their own states'). Being based on this, 'Being sincere in their thoughts', 'Rectifying their hearts', 'Cultivating their persons' and 'Regulating their families' were understood as four individual and subjective human-basic-essential activity. Especially, mind, heart, body and family(power) were regarded as the four basic element in human existence and activity, and in correlation with universe and society, set up as the subjective element in Dongmu's epistemology, theory of nature and emotion, theory of morality and theory of moral cultivation.

• Journal of Engineering Education Research
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• v.20 no.2
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• pp.57-62
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• 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.

• Nuclear Engineering and Technology
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• v.53 no.4
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• pp.1199-1209
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• 2021

The detection of unexpected loose parts in the primary coolant system in a nuclear power plant remains an extremely important issue. It is essential to develop a methodology for the localization and mass estimation of loose parts owing to the high prediction error of conventional methods. An effective approach is presented for the localization and mass estimation of a loose part using machine-learning and deep-learning algorithms. First, a methodology was developed to estimate both the impact location and the mass of a loose part at the same times in a real structure in which geometric changes exist. Second, an impact database was constructed through a series of impact finite-element analyses (FEAs). Then, impact parameter prediction modes were generated for localization and mass estimation of a simulated metallic loose part using machine-learning algorithms (artificial neural network, Gaussian process, and support vector machine) and a deep-learning algorithm (convolutional neural network). The usefulness of the methodology was validated through blind tests, and the noise effect of the training data was also investigated. The high performance obtained in this study shows that the proposed methodology using an FEA-based database and deep learning is useful for localization and mass estimation of loose parts on site.

• Communications of Mathematical Education
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• v.36 no.4
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• pp.511-533
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• 2022

The purpose of this study is to develop a learning coaching model suitable for the mathematics subject by reflecting the characteristics of the mathematics subject and the mathematics teaching/learning process in the CARE learning coaching model that supports students' self-directed learning. The mathematics learning coaching model developed in this study is a 'step' and 'element' to apply coaching, and a 'strategy' for carrying out it. Mathematics learning coaching model evaluated rapport, trust, state management, and math pre-test as elements of 'creating a comfortable atmosphere', and problem recognition, hypercognition, restructuring, initiative, and math learning ability as elements of 'improving perception'. Self-efficacy, learning readiness, confirmation (feedback) as elements of the 'reawakening of learning immersion' stage, voluntary motivation and success experiences as elements of the 'empowerment' stage, and various math learning strategies to perform each element presented. The math learning coaching model can be used to help math teachers motivate students to learn and help students solve their own problems.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.2
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• pp.28-37
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• 1999

Differentially Responsible Adaptive Critic Learning technique is proposed for learning the control technique with multiple control inputs as in robot system using reinforcement learning. The reinforcement learning is a self-learning technique which learns the control skill based on the critic information Learning is a after a long series of control actions. The Adaptive Critic Learning (ACL) is the representative reinforcement learning structure. The ACL maximizes the learning performance using the two learning modules called the action and the critic modules which exploit the external critic value obtained seldomly. Drawback of the ACL is the fact that application of the ACL is limited to the single input system. In the proposed Differentially Responsible Action Dependant Adaptive Critic learning structure, the critic function is constructed as a function of control input elements. The responsibility of the individual control action element is computed based on the partial derivative of the critic function in terms of each control action element. The proposed learning structure has been constructed with the CMAC neural networks and some simulations have been done upon the two dimensional Cart-Role system and robot squatting problem. The simulation results are included.

• Journal of Internet Computing and Services
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• v.11 no.5
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• pp.95-104
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• 2010

As the computer and the communication technology are an unity, the collaborative learning based on constructivism is emphasized more than learning by forming external representation. Especially, online has characteristics not only to facilitate collaborative activities but to make students collaborators. In online collaborative learning, learning task is an integrated element in course design and an important portion deciding learning design, learning environment and learning process. Thus this study explored collaborative learning model according to the learning task type.

• Journal of Drive and Control
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• v.19 no.2
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• pp.17-26
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• 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.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.79-81
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• 2005

최근 SCORM, Dublin Core등의 국제 표준 메타데이터와 함께, 세계 사실 표준이라 할 수 있는 IMS와 IEEE/LTSC의 LOM이 e-Learning의 특성을 반영한 메타데이터로서 현재 국$\cdot$내외적으로 많은 e-Learning 업체 및 기관에서 활용되고 있다(5). 그러나 LOM에서 정의한 메타데이터는 멀티플랫폼 환경을 고려하지 않고 있고, 제작 및 유통되고 있는 대부분의 e-Learning 콘텐트는 멀티미디어 특성에 대한 메타데이터 요소가 부족한 실정이다. 따라서 , 본 논문에서는 멀티플랫폼 환경에서 e-Learning학습을 지원하기 위해, 메타데이터 및 e-Learning 업체의 Requirement를 조사,분석하고 e-Learning 국제 표준 메타데이터와 플랫폼의 디바이스 특성을 반영하여, 기본적인 PC(Personal Computer) 환경을 포함한 모바일 기기 환경과 디지털TV 환경을 고려한 멀티플랫폼 e-Learning 메타데이터(Multi-platform e-Learning Metadata)를 제안하였다.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.47-51
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• 2011

The aim of Information Education is to improve the problem-solving skills based on Computational Thinking. In the current elementary school curriculum, there is no independent information subject. So, it will get used to browse the sub-element being applied implications for Computational Thinking through an analysis of teaching and leaning elementary mathematic scene. In this paper reveal the relationship sub-element of the Computational Thinking for solving problems through teaching and learning scene in elementary mathematics.