• Journal of the Korean Society of Radiology
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• v.81 no.2
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• pp.310-323
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• 2020

To treat congenital heart disease, it is important to understand the anatomical structure correctly. Three-dimensional (3D) printed models of the heart effectively demonstrate the structural features of congenital heart disease. Occasionally, the exact characteristics of complex cardiac malformations are difficult to identify on conventional computed tomography, magnetic resonance imaging, and echocardiography, and the use of 3D printed models can help overcome their limitations. Recently, 3D printed models have been used for congenital heart disease education, preoperative simulation, and decision-making processes. In addition, we will pave the way for the development of this technology in the future and discuss various aspects of its use, such as the development of surgical techniques and training of cardiac surgeons.

• Journal of Technology Innovation
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• v.19 no.1
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• pp.79-109
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• 2011

In his highly cited book, Innovator's Dilemma (1997), Christensen introduced a notion of disruptive technology that is based on the observations from disk-drive industry and used it as an explanatory variable through which new entrants outperform incumbents in the industry. In explaining his later observations of disruptive innovations in other industries, however, his early theory based on disruptive technology has been applied to all cases without careful distinction between the notions of technology and business model (Markides, 2006). Furthermore, it has been criticized that his model suffers from lack of enough explanatory power and other important factors that are necessary to fully explain the observed phenomena in various cases (Danneels, 2004). Motivated by the critics in literature, the current study carefully distinguishes between innovation of technology and innovation of business model in the process of disruptive innovation, and apply our framework to the case of internet shopping mall business. Our study yields two main results. First, the internet-related business model which Christensen argued as an example of disruptive innovation is accomplished through two distinctive and separable growth phases: a period of technology growth and a period of business model growth. Second, in the process of disruptive innovation, the notion of enabling technology plays an important bridging role that connects core technology and business model. Furthermore, we confirm that the success of business model innovation depends on the degree of maturity of the enabling technologies. In conclusion, Christensen's notion of disruptive innovation can be further detailed in terms of technology innovation and business model innovation, and if there exist enabling technologies, the chance of success of the business model is higher when the enabling technology is matured rather than when the core technology is merely acknowledged as a disruptive technology.

• Journal of The Korean Association For Science Education
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• v.35 no.2
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• pp.313-323
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• 2015

The purpose of this study is to investigate the cognitive process of student's modeling on a modeling-emphasized argument-based general chemistry experiment. The participants were twenty-one freshman students. Six topics were carried out during the first semester and semi-structured interview was implemented at the end of the semester. Semi-structured interview questions were used to elicit elements of effective model, modeling strategies, difficulties that students have experienced during modeling, and resolving the difficulties that students have experienced during modeling. All student interview data were collected and transcribed. The results of this study are summarized as follows: (1) Elements of effective model were considered to be visual expression, persuasive explanation, and rhetorical structure. (2) Modeling strategies included arranging important keywords or writing the outline, and during the modeling process, students used various data, suggested data after reconstructing, suggested definitions and explanations of core concepts, used meta-cognition, and considering rhetorical structure. (3) Difficulties students have experienced during modeling could be categorized as lack of modeling strategy and understanding. (4) Resolving difficulties students have experienced during modeling could be categorized as modeling strategy and understanding. Students learn the strategy by feedback, modeling experience, evaluation of experimental report, models which they constructed previously and references, and the understanding of contents were achieved through arguments which occurred during classes and during the process of writing the experimental reports. These results suggest that when using modeling in teaching and learning, the argument-based learning strategy can be effective in enhancing students' modeling by helping them to understand meta-modeling with scientific concepts.

• Korean Journal of Remote Sensing
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• v.25 no.2
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• pp.133-143
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• 2009

This paper describes differences of performance when the orbit attitude model is applied to the respective images obtained from two different types of satellite. The one is Spot that rotates its pointing mirror and the other is Kompsat-2 that rotates its whole body when they obtain imagery for target. Our research scope is limited to the orbit-attitude model only as its good performance was proved in prior investigation. Model performances between two images were compared with sensor model accuracy and 3D coordinates calculation. The results show performances of the orbit-attitude model for each image type were different. For Spot imagery, the model required attitude angle to be included as adjustment parameters. For Kompsat-2 imagery, the model required high-order parameter for adjustment. This implies that satellite sensor model may be applied differently in accordance with platform's attitude control scheme and accuracy. Understanding of this information can be a base for improvement and development of model and application for new satellite images.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.6
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• pp.245-254
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• 2022

Proteins are the basic unit of all life activities, and understanding them is essential for studying life phenomena. Since the emergence of the machine learning methodology using artificial neural networks, many researchers have tried to predict the function of proteins using only protein sequences. Many combinations of deep learning models have been reported to academia, but the methods are different and there is no formal methodology, and they are tailored to different data, so there has never been a direct comparative analysis of which algorithms are more suitable for handling protein data. In this paper, the single model performance of each algorithm was compared and evaluated based on accuracy and speed by applying the same data to CNN, LSTM, and GRU models, which are the most frequently used representative algorithms in the convergence research field of predicting protein functions, and the final evaluation scale is presented as Micro Precision, Recall, and F1-score. The combined models CNN-LSTM and CNN-GRU models also were evaluated in the same way. Through this study, it was confirmed that the performance of LSTM as a single model is good in simple classification problems, overlapping CNN was suitable as a single model in complex classification problems, and the CNN-LSTM was relatively better as a combination model.

• The Magazine of the IEIE
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• v.5 no.2
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• pp.31-40
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• 1978

신경섬유는몸체 안에서 정보의 전달을 액숀 포텐셜(action potential) 형태의 신호(signal)에 의해 수행하고 있다. 우리 몸체에서 두뇌의 지령을 받아 어떠한 동작을 근육에 신경을 통하여 전달하는 것을 생각할 때 두뇌는 정보의 원천(source)으로서, 근육과의 신경접점은 리시버(receiver)로서, 신경섬유는 전화선으로서 간주될 수 있다. 그리고 몸체·안에서의 정보의 전달의 원리는 통신공학이론에 의하여 설명되어 질 수 있다. 저자는 생리학에 깊은 지식이 없어 전자공학분야에 종사 하시는 분들을 위해 이 재미있는 생물학적 현상을 설명할 수 있는 신경조직의 구조(mechanism)와 수학적 모델을 소개하고자 한다. 저자는 독자가 신경조직의 구조의 이해를 위해 액숀 포텐셜(action potential)의 구조를 소개하고 수학적 모델를 위해서는 호지킨-헉슬리 방정식 (Hodgkin-Huxley equation)과 케이불 방정식 (cable equation)을 설명하려고 한다.

• Annual Conference on Human and Language Technology
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• 1989.10a
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• pp.92-95
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• 1989

단어 인지과정은 언어 이해과정의 한 부분으로, 신속성과 정확성 그리고 심성어휘집을 그 특정으로 한다. 표기 단어의 인지과정에는 그 언어의 정서법 체계가 반영된다. 한국어의 단어 인지과정에 대한 모델 작성의 예비 연구로 음운적 처리와 어휘 근접에서의 정서법적 정보의 역활에 대해 검토하였다. 어휘 근접의 단위에 대한 논의에서는 음절, 자질, 단어등의 형식적 언어학적 단위외에 심리적 단위가 고려되어야 함이 지적되었으며, 그 심리적 단위들과 정서법의 관계에 대해 논의하였다. 마지막으로 한글 단어 인지과정에 관한 한 모델로서 상호작용 활성화 모델의 가능성에 주목하였다.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2013.05a
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• pp.60-60
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• 2013

공정용 플라즈마는 반도체 웨이퍼 가공, 평판형 디스플레이, 자동차 및 산업용 부품 코팅, 장식용 코팅에 널리 사용되고 있다. 이를 위한 장비 개발은 플라즈마에 대한 깊은 이해가 없이는 불가능하여 주로 선진 장비 회사의 모델을 참고하여 유사하게 만드는 수준에서 진행되어 왔는데 2D, 3D modeling이 가능한 전산 유체 모델은 일부 상용화 패키지 S/W까지 등장하였으나 플라즈마와 수치 해석에 대한 기본적인 지식이 없이는 사용이 매우 어렵다는 단점이 있어 국내의 일부소자회사의 장비 관련 연구팀 정도에서만 사용이 가능했다. 이를 중견 장비 업체들에 까지 확대하기 위한 작업의 일환으로 2D-ICP, 2D-CCP model의 기본적인 기능을 갖추고 기하적 크기는 파라미터 방식으로 사용자가 조절할 수 있도록 만든 framework을 개발하려는 시도에 대해서 논의 하고자 한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.383-386
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• 2004

급변하는 시장환경으로 인한 제조의 복잡성과 동적 특성의 증대로 인해 기업은 재공품의 감소, 납기일 준수를 위한 기술적 방법의 개발과 조화의 중요성을 인식하고 있다. 이에 기존에 사용하고 있는 MRP, JIT의 생산계획 및 통제 방식은 적용하는 데 있어 단점을 지니고 있다. 이에 최근 각광 받고 있는 TOC의 DBR 방식을 이해하고 기존 생산시스템(MRP, JIT)의 단점을 극복하고 동적인 생산환경에서도 효율적으로 생산 가능한 유연한 생산 스케줄링 모델을 개발하고자 한다. 개발된 생산 스케줄링 모델은 동적인 제조환경에서 효율적이고 유연한 생산 계획 및 통제 시스템이 될 것이며, 비용절감과 함께 기업의 생산성을 향상시킬 것이다. 또한, 이런 유연 생산 스케줄링을 증명하기 위해 프로토타입을 통해 그 효과를 증명하여 보기로 한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2207_2208
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• 2009

전력 계통에서 고장이 발생하게 되면 이를 제거하기 위해 차단기가 동작하게 된다. 차단기가 동작하게 되면 선로가 차단되고 건전상과 고장상 사이의 정전 현상에 의해 아크현상이 발생하며, 이러한 현상은 송전 선로에서 일시 사고의 형태로 가장 빈번하게 발생하는 현상이다. 따라서 일시고장의 주요 현상이 되는 아크를 정확하게 파악하고 이해하는 것은 송전 계통에서 가장 중요한 과제 중 하나라고 할 수 있다. 따라서 본 논문에서는 다양한 아크모델 중 ZnO 아크 모델을 ATPDraw를 통해 구현하였으며 이를 765kV 송전선로에 연결하여 고장 발생각 변화에 따른 전압 특성을 분석하였다.