• 한국실내디자인학회논문집
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• 제25권6호
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• pp.149-157
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• 2016

The purpose of this study aims to investigate the characteristics of architectural association methods which apply Hall's poetic concept by looking into how Hall extracts languages and images under what circumstances and by analyzing how the extracted elements are integrated into an architectural space through what association processes. First of all, poetic association functions in the architectural process are compared, and the value of using visual associations in architectural designs are investigated based on the results of the analysis. Next, Steven Holl's poetic concept is investigated in the context of the concept extraction step, the idea expansion step, and the space composition step in order to find out how such association methods work in the process of architectural designs. The methods of reproducing, changing and using Steven Holl's poetic concept can be summarized as follows in relation with experiential associations, multi-meaning associations and morphology associations: 1) Steven Holl's experiential associations are a method of expressing perceived images in the form of languages in the process of interpreting land and programs. This method has the characteristics of reproducing various architectural ideas by generating a relationship between invisible characteristics of land in images and languages. 2) Steven Holl's multi-meaning associations are a method of directly associating a project with related objects and incidents, or of coming up with a hidden meaning. It has the characteristics of changing ambiguous images of metaphoric, figurative or ironic languages into concrete architectural images. 3) Steven Holl's morphology associations is a method of expressing morphology images and languages which are directly related to the images. Morphology associations have the characteristics of regenerating sensory experience elements into languages or images, which can be seen experiential associations; or they use metaphoric images in architecture by substituting them with other architectural elements, which can be seen in multi-meaning associations.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 추계종합학술대회
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• pp.431-433
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• 2007

본 논문에서는 복잡한 영상, 특히 컨테이너 식별자가 속해 있는 영상에서의 문자영역을 추출하기 위하여 top-hat morphology 기법을 통해 획득된 텍스쳐 정보를 가로 및 세로 가중치를 가지는 클러스터링 기법을 이용하여 추출하는 방법을 제안한다. 실험을 통해 제안한 방법의 성능을 검증하고, 기존에 알려진 텍스쳐와 히스토그램을 이용하는 방법 등과 비교하여 그 성능이 향상됨을 확인한다.

• 전자공학회논문지B
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• 제33B권10호
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• pp.38-49
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• 1996

In this paper, we propose a fast hierarchical image segmentation using mathematical morphology. The proposed segmentation method is composed of five basic steps; multi-thresholding, open-close by reconstructing, mode operation, marker extraction, and region decision. In the multi-thresholding, an input image is simplified by Lloyd clustering algorithm. The multi-thresholded image then is more simplified by open-close by reconstruction and mode operating. In the region decision, to which region each uncertainty pixel belongs finally is decided by a watershed algorithm. Experimental results show that the quality of the segmentation results by the proposed method is not inferior to that by the conventional method and the average times elapsed by the proposed method can be reduced by one tghird of those elapsed by the conventional method.

• Genomics & Informatics
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• 제2권1호
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• pp.19-29
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• 2004

Gene expression profiles may offer more information than morphology and provide an alternative to morphology- based tumor classification systems. Informative gene selection is finding gene subsets that are able to discriminate between tumor types, and may have clear biological interpretation. Gene selection is a fundamental issue in gene expression based tumor classification. In this report, techniques for selecting informative genes are illustrated and supervised shaving introduced as a gene selection method in the place of a clustering algorithm. The supervised shaving method showed good performance in gene selection and classification, even though it is a clustering algorithm. Almost selected genes are related to leukemia disease. The expression profiles of 3051 genes were analyzed in 27 acute lymphoblastic leukemia and 11 myeloid leukemia samples. Through these examples, the supervised shaving method has been shown to produce biologically significant genes of more than $94\%$ accuracy of classification. In this report, SVM has also been shown to be a practicable method for gene expression-based classification.

• 한국재료학회지
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• 제25권9호
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• pp.492-496
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• 2015

Hydroxyapatite (HA), which is an important calcium phosphate mineral, has been applied in orthopedics, dentistry, and many other fields depending upon its morphology. HA can be synthesized with different morphologies through controlling the synthesis method and several parameters. Here, we synthesize various morphologies of HA using two simple methods: hydrothermal combustion and solution combustion. The phase purity of the synthesized HA is confirmed using X-ray diffractometry. It demonstrates that pure phased hydroxyapatite can be synthesized using both methods. The morphology of the synthesized powder is examined using scanning electron microscopy. The effects of pH and temperature on the final powder are also investigated. At $140^{\circ}C$, using the hydrothermal method, nano-micro HA rods with a hexagonal crystal structure can be synthesized, whereas using solution combustion method at $600^{\circ}C$, a dense cubic morphology can be synthesized, which exhibits monoclinic crystal structures.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제61차 동계학술대회논문집 28권1호
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• pp.11-14
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• 2020

The importance of data in the development of deep learning is very high. Data with high morphological features are usually utilized in the domains where careful lens calibrations are needed by a human to capture those data. Synthesis of high morphological data for that domain can be a great asset to improve the classification accuracy of systems in the field. Unsupervised learning can be employed for this task. Generating photo-realistic objects of interest has been massively studied after Generative Adversarial Network (GAN) was introduced. In this paper, we propose Morpho-GAN, a method that unifies several GAN techniques to generate quality data of high morphology. Our method introduces a new suitable training objective in the discriminator of GAN to synthesize images that follow the distribution of the original dataset. The results demonstrate that the proposed method can generate plausible data as good as other modern baseline models while taking a less complex during training.

• 대한의용생체공학회:의공학회지
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• 제16권4호
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• pp.533-542
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• 1995

The present study investigated the effectiveness of pretreatment on dentin bonding. The adhesive resin was 5% 4-methacryloyloxyethyl trimellitate anhydride (4-META) in methyl methacrylate (MMA) combined with poly-MMA powder. Polymerization of this resin was initiated by tri-n-butyl borage (TBB). Ground bovine dentin samples were etched with either an aqueous solution of 10% citric (10-0 solution) (Group I) or aqueous solution of 10% citric acid and 3% ferric chloride(10-3 solution) (Group ll ). After etching, the primer (an aqueous solution of 35% hydroxyethyl methacrylate (HEM- A) and 5% glutaraldehyde was applied on the differently etched surfaces (Group III , Group IV). The 10-0 treatment showed the lowest tensile bond strength, followed by the 10-3 treatment, primer application after the 10-0 treatment and primer application after the 10-3 treatment. The relationship among the surface morphology after pretreatment, fractured surface morphology and tensile bond strength was examined. It revealed that the surface morphology change by different pretreatment influenced the bond strength and the resulting fractured surface morphology. The correlation of tensile bond strength with the fracture morphology was explained.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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• pp.281.1-281.1
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• 2013

Shape control of gold nanocrystal is still one of the most important challenges remaining to achieve geometry dependent properties. Thus far, several strategies have been developed to control the shape of nanoparticles, such as adding capping agents and diverse additives or adjusting the temperature and pH. Here, we used an already established seed-mediated method that allowed us to focus on controlling the growth stage. Cetyltrimethylammonium bromide (CTAB) and ascorbic acid (AA) were used as the ligand and the reducing agent, respectively, without using any additional additives during the growth stage. We investigated how the relative ratio of CTAB and AA concentrations could be a major determinant of nanoparticle shape over a wide concentration range of CTAB and AA. As a result, a morphology diagram was constructed experimentally that covered the growth conditions of rods, cuboctahedra, cubes, and rhombic dodecahedra. The trends in the morphology diagram emphasize the importance of the interplay between CTAB and AA. Furthermore, high-index faceted gold nanocrystal was obtained by two step seeded growth. Already synthesized cubic particles developed into hexoctahedral nanocrystal consisting of 48 identical {321} facets, which indicates that the growth of gold nanocrystal is affected by initial morphology of seed particles. The hexoctahedral gold nanoparticles can be used in catalysis and optical applications which exploiting their unique geometry. Our research can provide useful guidelines for designing various facetted geometries.

• Journal of Electrochemical Science and Technology
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• 제14권2호
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• pp.194-204
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• 2023

Models based on diffusion-limited aggregation (DLA) have been extensively used to explore the mechanisms of dendritic particle aggregation phenomena. The physical and chemical properties of systems in which DLA aggregates emerge are given in their fractal. In this paper, we present a comprehensive study of the growth of electrodeposited copper dendrites in flat plate electrochemical cells from a fractal perspective. The effects of growth time, applied voltage, copper ion concentration, and electrolyte acidity on the morphology and fractal dimension of deposited copper were examined. 'Phase diagram' set out the variety of electrodeposited copper fractal morphology analysed by metallographic microscopy. The box counting method confirms that the electrodeposited dendritic structures manifestly exhibit fractal character. It was found that with the increase of the voltage and copper ion concentration. The fractal copper size becomes larger and its morphology shifts towards a dendritic structure, with the fractal dimension fluctuating around 1.60-1.70. In addition, the morphology of the deposited copper is significantly affected by the acidity of the electrolyte. The increase in acidity from 0.01 to 1.00 mol/L intensifies the hydrogen precipitation side reactions and the overflow path of hydrogen bubbles affects the fractal growth of copper dendrites.

• 한국재료학회지
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• 제9권12호
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• pp.1245-1251
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• 1999

상변화형 광디스크는 직접 반복기록에 의한 고속기록, 고밀도화가 가능하고 높은 전송속도, 재생신호의 C/N (carrier to noise) 비가 좋은 장점을 가지고 있으나 반복되는 열에너지에 의한 디스크의 변형과 소거도의 저하, 기록 반복성의 저하가 문제가 된다. 이러한 반복성의 저하를 개선하기 위해 적절한 디스크의 구조와 기록막의 상하부에 유전체 보호막인 ZnS-$SiO_2$ 박막층을 삽입하였다. 박막 제조시 많은 실험변수의 제어를 위해 다꾸찌 방법을 통하여 타겟 R.F. Power 200W, 기판 R.F. Power 20W, 아르곤 압력 4mTorr, 전극거리 6cm의 최적조건을 얻을수 있었다. TEM과 XRD분석 결과, 전극거리가 가까워질수록 높은 증착속도로 인하여 미세한 조직구조를 가지고 있으며, 일정거리 이상 가까워지면 막의 morphology에 나쁜 영향을 끼침을 알 수 있었다. 이러한 막의 morphology의 영향으로 투과율이 감소하는 것을 확인할 수 있었다. AFM과 SEM분석에서는 전극거리가 가까워질수록 높은 증착속도로 인하여 morphology에 나쁜 영향을 끼치고 있음을 확인할 수 있었다. 최적조건에서 증착한 박막은 우수한 morphology를 가진 초미세구조의 치밀하고 결함이 없는 박막이었다. 이 박막은 상변화형 광디스크에서 열적 변형을 억제하고, 열전도를 감소시켜 우수한 유전체 보호피막의 역할을 할 수 있다. 그리고, 전극거리가 ZnS결정립의 크기와 증착속도, morphology에 미치는 영향에 대해 고찰하였다.