• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.73-76
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• 1996

Computer simulation and magnetic resonance angiograms(MRAs) are used to understand for flow patterns in the carotid arterial bifurcation. Steady momentum equation is solved by the finite volume method. A Phantom of the carotid artery made of bioacrylic material is used for MRA observation. Flow Patterns are observed by using MRA for flow in the phantom of an automatic closed-type circulatory system filled with sugar 4 w% solution. For numerical analysis the idealized geometric shape of the carotid artery is constructed to portray the phantom. Results of numerical analysis are compared with those of MRA. The flow patterns of the phantom on MRA are almost identical to those of the computer simulation.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 1996년도 제24회 춘계학술대회
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• pp.13-19
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• 1996

The tribological properties of the aluminum short fiber and glass fiber reinforced tin-bronze matrix composites manufactured by vacuum hot pressing was studied. The effect of the composition and the relative density on the wear properties was examined by a reciprocal type tribo-test machine. The results were discussed by the observation of the microstructure of sintered specimen and worn surface observation using SEM and EDS. Addition of the fibers led to the wear resistance since the metal matrix was reinforced by the fibers. The reinforcement of the fiber seemed to be stronger as the distribution of the fibers was more uniform. Graphite also reduce the wear loss. The pores in the sintered composites seemed to play an important role to improve the wear resistance since the pores provide the places where the solid lubricants locate.

• 전자통신동향분석
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• 제34권6호
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• pp.87-99
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• 2019

Reinforcement learning is a type of machine learning paradigm that forces agents to repeat the observation-action-reward process to assess and predict the values of possible future action sequences. This allows the agents to incrementally reinforce the desired behavior for a given observation. Thanks to the recent advancements of deep learning, reinforcement learning has evolved into deep reinforcement learning that introduces promising results in various control and optimization domains, such as games, robotics, autonomous vehicles, computing, industrial control, and so on. In addition to this trend, a number of programming libraries have been developed for importing deep reinforcement learning into a variety of applications. In this article, we briefly review and summarize 10 representative deep reinforcement learning libraries and compare them from a development project perspective.

• Applied Microscopy
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• 제51권
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• pp.12.1-12.12
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• 2021

Intravital video microscopy permits the observation of microcirculatory blood flow. This often requires fluorescent probes to visualize structures and dynamic processes that cannot be observed with conventional bright-field microscopy. Conventional light microscopes do not allow for simultaneous bright-field and fluorescent imaging. Moreover, in conventional microscopes, only one type of fluorescent label can be observed. This study introduces multispectral intravital video microscopy, which combines bright-field and fluorescence microscopy in a standard light microscope. The technique enables simultaneous real-time observation of fluorescently-labeled structures in relation to their direct physical surroundings. The advancement provides context for the orientation, movement, and function of labeled structures in the microcirculation.

• Applied Microscopy
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• 제25권3호
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• pp.40-50
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• 1995

The results of observation on the salivary gland and salivary secretory duct of Korean slug, Incilaria fruhstorferi, in histochemical method are as follows. It is observed that there are six kinds of gland cells(Type-A, B, C, E and F) making up the salivary gland of Korean slug. Of those, type-A gland cell is observed as an acid mucous cell, and type-B, C, D, F gland cells as neutral mucous cells. But in type-E gland cell, while the membrane surrounding granules exhibit alcianophilia, granules show no reaction. The salivary secretory duct composing the salivary gland of Korean slug is composed of supporting epithelial cell and four kinds of gland cells(type-A, E, F and G), of which type-A, E, F gland cells compose both the acinus of salivary gland and endothelial tissue of salivary secretory duct, and are secreted into lumen through salivary secretory duct. But, type-G gland cell is observed only in the endothelium of salivary secretory duct and mucous granules are observed as neutral mucopolysaccharide.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.325-328
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• 2007

We discuss the Normalized Difference Vegetation Index (NDVI) of the forest canopy and floor separately based on airborne spectral reflectance measurements and simultaneous airborne land surface images acquired around Yakutsk, Siberia in 2000. The aerial land surface images were visually classified into four forest types: no-green canopy and snow floor (Type-1), green canopy and snow floor (Type-2), no-green canopy and no-snow floor (Type-3), and green canopy and no-snow floor (Type-4). The mean NDVI was calculated for these four types. Although Type-2 had green canopy, the NDVI was rather small (0.17) because of high reflection from the snow cover on the floor. Type-3, which had no green canopy, indicated considerably large NDVI (0.45) due to the greenness of the floor. Type-4 had the largest NDVI (0.75) because of the greenness of both the canopy and floor. These results reveal that the NDVI depends considerably on forest floor greenness and snow cover in addition to canopy greenness.

• Educational Technology International
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• 제19권1호
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• pp.35-60
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• 2018

The purpose of this study was to analyze the types of lesson and its effectiveness with digital textbook. To address those goals, we had observed five classes of the primary school, which designated as a research pilot school for digital textbook. Based on the result of observation, 3 types of lesson with digital textbook were categorized: Teacher-directed lecture (type 1), Blended learning (type 2), and Flipped learning (type 3). Depending on the type of lesson was analyzed the positive and negative effectiveness by means of matrix analysis method. As a result, in Teacher-directed lecture (type 1), there was found out the participation of the lesson in atmosphere of stable and comfortable as positive experience, also digital textbook operating immature and boring as negative experience. In Blended learning (type 2), there was found out the fun by sharing the product and peer feedback, and flow by learning transfer as positive experience, also digital textbook operating immature and understanding the difference between assignments as negative experience. In Flipped learning (type 3), there was shown the positive attitude and ownership in the lesson as positive experience, also distracting and boring in the lesson when learner was excluded in participation as negative experience. Based on the results, we suggested some strategies for improving positive experience and protecting negative experience in the lesson with using digital textbook.

• 한국초등수학교육학회지
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• 제10권1호
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• pp.67-87
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• 2006

본 연구는 초등학교에서 이루어지는 수행평가 실시에서의 문제점을 인식하고 자기평가, 동료평가 및 관찰평가의 실천을 통하여 평가에 따르는 시간적인 제약을 줄이고, 평가의 결과를 교수 학습계획에 반영시킴으로써 평가를 통한 초등수학과 교수 학습의 개선에 대한 시사점을 찾아보고자 이루어졌다. 이러한 목적을 달성하기 위하여 연구자는 초등학교 2학년 1개 반 학생 40명을 대상으로 자기평가, 동료평가를 실시하고 '재미있는 놀이를 하여 봅시다' 차시의 운영과정에서 관찰평가를 한 학기동안 적용하였으며 평가의 적용과정에서 얻어진 학생들의 자기평가결과물(수학일지, 자기평가지, 평가의 과정에서의 대화내용)과 관찰평가 결과물(체크리스트, 놀이 활동 결과물, 놀이의 과정에서의 대화내용)을 분석해 보았다.

• Journal of Astronomy and Space Sciences
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• 제23권2호
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• pp.143-152
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• 2006

밝은 장주기 변광성들을 효율적으로 관측하기 위하여 충북대학교 교내에 자동관측시스템을 구축하였다. 이 시스템의 구성을 위하여 기존의 Meade사 LX200 40cm 망원경의 구동부를 개선하고, ObsTool II라는 관측프로그램에 의하여 망원경, CCD 카메라, 돔의 제어가 하나의 프로그램으로 가능하도록 구성하였다. ObsTool II는 COM(Common Object Module)을 이용하여 개발한 프로그램으로서 시스템을 구성하는 망원경이나 CCD 카메라의 기종이 바뀌어도 큰 수정 없이 시스템을 재구성할 수 있다. 또한, 이 시스템은 광전측광관측처럼 변광성, 비교성, 검토성 등을 오가는 기능을 가지고 있어 CCD의 시야에 적당한 비교성이 함께 들어오지 않더라도 관측이 가능하다. 이 논문에서 새롭게 구성한 자동관측시스템의 안정성을 검토하기 위하여 W UMa형 변광성 V523 Cas와 자기 격변변광성 TT Ari를 관측하여 그 결과를 제시하면서 본 논문에서 개발한 시스템들의 활용가능성을 토의하였다.

• Journal of the Korean Data and Information Science Society
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• 제25권2호
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• pp.327-336
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• 2014

재발 사건 자료란 연구대상이 같은 종류의 사건을 반복적으로 경험할 때 발생하는 자료이다. 이러한 재발 사건은 사회과학, 자연과학, 공학, 의약학 등 다양한 분야에서 나타날 수 있다. 재발 사건자료를 분석할 때 연구자의 관심에 따라 사건 발생시간이나 사건 발생간의 소요시간을 이용하여 분석할 수 있다. 이 논문에서는 사건 발생시점간의 소요시간을 이용하여 불완전한 관측을 가진 재발 사건자료를 분석하고자 한다. 이 자료의 특징은 일부 관측대상들이 일정기간 동안 연구에서 제외되는 관측틈을 갖는다는 것이다. 이 때 관측틈은 불완전한 형태로 나타나게 되는데 그 이유는 관측틈의 시작시점은 알고 있지만 종료시점은 알 수 없기 때문이다. 이러한 미지의 종료시점을 추정하기 위해서 구간 중도 절단 방법이 적용된다. 따라서 종료시점이 추정된 후 프레일티를 포함한 회귀모형을 적용하여 공변량이 사건 재발에 미치는 영향을 알아볼 수 있다. 또한 제안한 방법을 실제자료에 적용하여 관측틈을 고려한 경우와 고려하지 않은 경우를 비교하고자 한다.