• 한국실내디자인학회논문집
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• 제19권6호
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• pp.20-29
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• 2010

Art historians and critics have defined the style as common features appeared in a class of objects. Abstract common features from a set of objects have been used as a bench mark for date and location of original works. Commonalities in shapes are identified by relationships as well as physical properties from shape descriptions. This paper will focus on how the computer and human can recognize common shape properties from a class of shape objects to learn design knowledge. Shape representation using schema theory has been explored and possible inductive generalization from shape descriptions has been investigated. Also learned shape knowledge can be used. for new design process as design concept. Several design process such as parametric design, replacement design, analogy design etc. are used for these design processes. Works of Mario Botta and Louis Kahn are analyzed for explicitly clarifying the process from conceptual ideas to final designs. In this paper, theories of computer science, artificial intelligence, cognitive science and linguistics are employed as important bases.

• 디자인학연구
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• 제15권4호
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• pp.337-346
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• 2002

디자인 지식의 습득, 저장, 검색 및 응용과 같은 컴퓨터를 이용한 디자인 과정에 있어서, 창조적이며 디자인 요구에 적당한 결과물을 생산하는데 필요한 디자인 지식을 인지하고 습득하는 과정은 매우 중요하다 하겠다. 특히 인간의 인지능력과 유사한 기능을 같고 중요한 형태 디자인 지식을 습득하는 것은 필수적이다. 형태의 물리적인 속성에 의하여 인지되는 1차원적인 형태 지식이 아닌, 이들로부터 형성되는 2차원 또는 그 이상의 차원에서 인지되는 형태 디자인 지식을 인지해야만 한다. 지식의 인지 및 습득은 기억 장치에 저장되어 있는 지식과 인지되는 지식을 비교하여 동일하거나 유사한 경우 그 디자인 지식이 습득된다. 이때 1차원적인 디자인 지식은 형판 매칭과 속성 매칭에 의하여 그 유사성이 쉽게 인지되지만, 2차원 이상의 디자인 지식에 대해서는 인간은 쉽게 인지하나 컴퓨터를 이용한 인지에는 어려움이 많다. 본 연구는 컴퓨터에 이러한 능력을 부여하기 위하여 형태패턴 표현을 이용한 형태의 유사성을 판별하는 방법에 대하여 설명하였다.

• 지식경영연구
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• 제18권2호
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• pp.85-102
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• 2017

With rapid development of information and communication technologies, open collaboration can be eased through the Internet. Open source software, as a representative area of open collaboration, is developed and adopted to various fields. In this research, based on organizational learning theory, we examine the impacts of exploration and exploitation on innovation performance in open source software development projects. We define knowledge exploration as a number of developers from outside organization and knowledge exploitation as the ratio of member of an organization who participated in an open source software project managed by the organization. For analysis, we collect data of 4794 projects from github which is a representative open source software development platform using Web crawler developed by Python. As a result, we find that excessive exploration has curvilinear (invers U-shape) relationship on project performance. On the other hand, exploitation with enough external developers will positively impact on project performance.

• 산업융합연구
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• 제18권1호
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• pp.17-23
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• 2020

본 연구는 블렌디드 러닝을 위한 자동차 엔진 부품 조립에 대한 증강현실 콘텐츠 개발을 하고 설문을 통해 교육 효과의 유용성을 확인하였다. 자동차 엔진 조립에 대한 커리큘럼을 설계하고, 각 커리큘럼에 따라 조립해야 할 부품의 모양, 위치, 조립 순서 등을 증강현실 콘텐츠로 개발하였다. 개발된 증강현실 시뮬레이션 콘텐츠는 학습자 중심의 협력 활동과 결합하여 학생들이 능동적으로 학습할 수 있도록 하였고, 교사는 촉진자 역할을 수행하도록 설계하였다. 본 콘텐츠와 전통적인 학습을 한 학생들과 비교 실험하여 약 2배의 학습 시간이 절감되는 것으로 나타났다. 본 연구를 통해 학생들의 문제해결, 프로세스 기술, 시스템 기술 및 인지 능력 등이 강화되는 것을 확인할 수 있었다.

• Journal of Korean Biological Nursing Science
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• 제11권1호
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• pp.51-58
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• 2009

Purpose: It is to verify learning effect of the instructional media on anatomy classes at a nursing college and to develop an alternative instructional media instead of cadaver. Method: Four groups pretest-posttest experimental design were used. One hundred twenty students who attended an Anatomy lecture in September, 2009 were selected After attending the anatomy lecture, the subjects were divided into four group (30 for each group) conveniently. The heart anatomy knowledge level were measured by a self evaluation questionnaire and quiz before and after a different instructional media being applied for each group including making heart shape using colored clay, taking picture of a real heart, sketching the heart model with color pencil and drawing heart presented in the anatomy textbook. Data was analyzed by t-test, ANNOVA test using the SPSS/PC WIN 12 version. Result: A statistically significant differences in the level of heart anatomy knowledge acquirement was noted after four different instructional media being applied, and four different instructional media was effective to the anatomy practice education. However, no difference in statistical post test results was noted among the four groups. Conclusion: It is recommended that further comparative studies on the learning effect between human cadaver practice and different instructional media is necessary.

• 한국지능시스템학회논문지
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• 제5권3호
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• pp.52-63
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• 1995

A neuro-fuzzy algorithm is presented for nuclear reactor power control in a pressurized water reactor. Automatic reacotr power control is complicated by the use of control rods because of highly nonlinear dynamics in the axial power shape. Thus, manual shaped controls are usually employed even for the limited capability during the power maneuvers. In an attempt to achieve automatic shape control, a neuro-fuzzy approach is considered because fuzzy algorithms are good at various aspects of operator's knowledge representation while neural networks are efficinet structures capable of learning from experience and adaptation to a changing nuclear core state. In the proposed neuro-fuzzy control scheme, the rule base is formulated based ona multi-input multi-output system and the dynamic back-propagation is used for learning. The neuro-fuzzy powere control algorithm has been tested using simulation fesponses of a Korean standard pressurized water reactor. The results illustrate that the proposed control algorithm would be a parctical strategy for automatic nuclear reactor power control.

• 한국학교수학회논문집
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• 제16권2호
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• pp.409-434
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• 2013

수리능력은 전문 역량 학습의 기초가 될 뿐만 아니라 직업 세계에의 적응과 경력 개발을 위해서도 필수적인 역량이다. 따라서 특성화 고둥학교 학생들의 기초 학력을 신장시키고, 나아가 이후 학생들이 직업 세계에 적응할 수 있도록 지원하는 학습 지원 체제가 필요하다. 이러한 취지하에, 이 연구에서는 특성화 고등학교 학생들의 수리능력을 향상시킬 수 있는 학생 개인별 수준에 맞는 맞춤형 프로그램을 개발하여 제공하고자 하였다. 이를 위하여, 첫째, 특성화고 마이스터고 학생들의 수리능력 신장을 위한 효율적 보정학습 체제를 구안하고자 하였다. 둘째, 보정학습 대상자 선정, 보정 대상 단계 및 수준 확정, 단계 인증을 위한 진단평가 도구를 개발하여 학습자 개개인을 위한 맞춤형 보정교육이 이루어질 수 있도록 하였다. 셋째, 직업 세계에서 수리능력의 효과적 활용을 도모하는 실제 중심의 보정학습 자료를 개발하고자 하였다. 다만, 본고에서는 자료 개발의 예로 모든 영역의 내용을 제시하기에는 방대하므로 함수에 해당하는 '변화와 관계' 영역에 중점을 두어 제시하였다.

• Smart Structures and Systems
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• 제31권5호
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• pp.485-500
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• 2023

Machine learning-based structural health monitoring (ML-based SHM) methods are researched extensively in the recent decade due to the availability of advanced information and sensing technology. ML methods are well-known for their pattern recognition capability for complex problems. However, the main obstacle of ML-based SHM is that it often requires pre-collected historical data for model training. In most actual scenarios, damage presence can be detected using the unsupervised learning method through anomaly detection, but to further identify the damage types would require prior knowledge or historical events as references. This creates the cold-start problem, especially for new and unobserved structures. Modal-based methods identify damages based on the changes in the structural global properties but often require dense measurements for accurate results. Therefore, a two-stage hybrid modal-machine learning damage detection scheme is proposed. The first stage detects damage presence using Principal Component Analysis-Frequency Response Function (PCA-FRF) in an unsupervised manner, whereas the second stage further identifies the damage. To solve the cold-start problem, mode shape assessment using the first mode is initiated when no trained model is available yet in the second stage. The damage identified by the modal-based method would be stored for future training. This work highlights the performance of the scheme in alleviating the cold-start issue as it transitions through different phases, starting from zero damage sample available. Results showed that single and multiple damages can be identified at an acceptable accuracy level even when training samples are limited.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.717-723
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• 2019

Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real social behaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living, among many more. To satisfy these objectives, smart systems and services must comprises of a complex set of features such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligent behavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology to provide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspect of the system. In this paper, an integration of AI with the smart systems and services is presented to mitigate the existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, and algorithms are discussed to provide possible solutions against the existing challenges in the AI-based smart systems and services. Such novel research works involve efficient shape image retrieval, speech signal processing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.

• 대한지구과학교육학회지
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• 제7권2호
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• pp.276-285
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• 2014

The purpose of this study is to investigate the pattern and characteristics of elementary school teaching and learning processes in science based classes. The study participants' class was recorded in video and instructional conversation transcription. The pattern of the observed class was analyzed using the classification frame suggested by Mogan &Saxton(2006). In result, the questioning for elicit information was most frequent and questioning for shape understanding and the questioning for press for reflection in its priority. In result, the presence of elicited questioning for the attainment of knowledge and understanding is more prominent in science-based classrooms. It was revealed that the participating teachers used the questioning sentence pattern more frequently and the self-sustained inquiry that accelerates creative thinking of the student was lacking. It was discovered that teaching elicited questioning, which accelerates creative thinking, as well as fact confirmation pattern is a necessary element of training for teachers.