• Title/Summary/Keyword: Surface features

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Enhanced Raman Spectrum of Juglone on Ag Surface: Is It a Simile to That of Lawsone?

  • Cheong, Byeong-Seo;Cho, Han-Gook
    • Bulletin of the Korean Chemical Society
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    • v.34 no.1
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    • pp.68-74
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    • 2013
  • The surface enhanced Raman spectrum of juglone, a traditional natural dye, has been observed by a custom-built micro-Raman setup. The spectral features of juglone significantly differ from those of lawsone, a structural isomer of juglone; only small red shifts of the double bond stretching bands are observed, and strong SERS bands are observed in the lower frequency regions as well. The DFT computations reveal that juglone coordinated to an $Ag^+$ adatom with $H^+$ release best correlates with the observed vibrational characteristics in the SERS spectrum among the plausible configurations of juglone coordinated to an adatom on the Ag surface, in line with the previously studied lawsone case. The differences in the SERS spectra of juglone and lawsone are attributed to the different locations of the hydroxyl group in the two isomers.

Initial Growth of Nb on Cu(100) studied by STM and Density Functional Theory

  • Lee, Joon-Hee;Ryang, Kyung-Deuk;Son, Chul-Woo;Lyo, In-Whon;Kang, Jin-Ho;Kang, Myung-Ho
    • Proceedings of the Korean Vacuum Society Conference
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    • 2000.02a
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    • pp.159-159
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    • 2000
  • Initial growth mode of Nb on Cu(100) is studied by scanning tunneling microscopy (STM) and density functional theory. Nb/Cu is immiscible at room temperature, but isolated Nb atoms are expected to be incorporated up to the second layer by DFT. STM shows that Nb atoms mix with Cu atoms in the first layer at room temperature and diffuse into the second layer upon annealing. In the second layer, Nb/induced features are preferentially found at step edges and appear as bright dots surrounded by dark rings. Details of comparison between experiment and theory will be discussed.

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How Does the 2-Thiophenecarboxaldehyde Behaves on the Ge(100) Surface

  • Lee, Myungjin;Shin, Minjeong;Lee, Hangil
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.08a
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    • pp.136-136
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    • 2013
  • High-resolution photoemission spectroscopy (HRPES) measurements were collected and density functional theory (DFT) calculations were conducted to track the coverage dependent variation of the absorption structure of 2-thiophenecarboxaldehyde (C4H3SCHO: TPCA) on the Ge(100) surface at room temperature. In an effort to identify the most probably adsorption structures on the Ge(100) surface, we deposited TPCA molecules at a low coverage and at a high coverage and compared the differences between the electronic features measured using HRPES. The HRPES data provided three possible adsorption structures of TPCA on the Ge(100) surfaces, and DFT calculations were used to determine the plausibility of the structures. HRPES analysis, corroborated by DFT calculations, indicated that an S-dative bonded structure was the most probable adsorption structure at relatively lower coverage levels, the [4+2] cycloaddition structure was the second most probable structure, and the [2+2]-C=O cycloaddition structure was the last probable structure on the Ge(100) surfaces at relatively higher coverage levels.

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A Study on the Classification of Surface Defect Based on Deep Convolution Network and Transfer-learning (신경망과 전이학습 기반 표면 결함 분류에 관한 연구)

  • Kim, Sung Joo;Kim, Gyung Bum
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.64-69
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    • 2021
  • In this paper, a method for improving the defect classification performance in low contrast, ununiformity and featureless steel plate surfaces has been studied based on deep convolution neural network and transfer-learning neural network. The steel plate surface images have low contrast, ununiformity, and featureless, so that the contrast between defect and defect-free regions are not discriminated. These characteristics make it difficult to extract the feature of the surface defect image. A classifier based on a deep convolution neural network is constructed to extract features automatically for effective classification of images with these characteristics. As results of the experiment, AlexNet-based transfer-learning classifier showed excellent classification performance of 99.43% with less than 160 seconds of training time. The proposed classification system showed excellent classification performance for low contrast, ununiformity, and featureless surface images.

Optimal strategy for low surface brightness imaging with KMTNet

  • Byun, Woowon;Kim, Minjin;Sheen, Yun-Kyeong;Ho, Luis C.;Lee, Joon Hyeop;Jeong, Hyunjin;Kim, Sang Chul;Park, Byeong-Gon;Seon, Kwang-Il
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.42.4-43
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    • 2018
  • Most galaxies are believed to evolve through mergers and accretions. In particular, minor mergers and gas accretion appear to play an important role in galaxy evolution in the present-day Universe. Tidally-disrupted debris from such processes remain as diffuse, low-surface brightness structures because the dynamical timescale in the outskirts is significantly longer than that in the central regions. Although these structures will give us useful insight into the mass assembly history of galaxies, it is difficult to detect them due to their faint surface brightness. In order to investigate the structural properties of outskirts in nearby galaxies, we conduct deep and wide-field imaging survey with KMTNet. We present our observing strategy and an optimal data reduction process to recover faint extended features in the images of KMTNet. Using the imaging data of NGC 1291 obtained from KMTNet, we find that a peak-to-peak sky gradient can be reduced less than 0.4-0.6% of the original sky level in the entire image. We also find that we can reach the surface brightness of ${\mu}_{(B,1{\sigma})}$ ~ 29.5, ${\mu}_{(R,1{\sigma})}$ ~ 28.5 mag $arcsec^{-2}$ in one-dimensional profile, that is mainly limited by the uncertainty in the sky determination. It indicates that deep imaging data of KMTNet is suitable to study the extended faint features of nearby galaxies, such as stellar halos, outer disks, and dwarf companions.

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Development of High Entropy Alloy Film using Magnetron Sputtering

  • Kim, Young Seok;Lim, Ki Seong;Kim, Ki Buem
    • Proceedings of the Korean Institute of Surface Engineering Conference
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    • 2018.06a
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    • pp.129-129
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    • 2018
  • Hard coating application is effective way of cutting tool for hard-to-machine materials such as Inconel, Ti and composite materials focused on high-tech industries which are widely employed in aerospace, automobile and the medical device industry also Information Technology. In cutting tool for hard-to-machine materials, high hardness is one of necessary condition along with high temperature stability and wear resistance. In recent years, high-entropy alloys (HEAs) which consist of five or more principal elements having an equi-atomic percentage were reported by Yeh. The main features of novel HEAs reveal thermodynamically stable, high strength, corrosion resistance and wear resistance by four characteristic features called high entropy, sluggish diffusion, several-lattice distortion and cocktail effect. It can be possible to significantly extend the field of application such as cutting tool for difficult-to-machine materials in extreme conditions. Base on this understanding, surface coatings using HEAs more recently have been developed with considerable interest due to their useful properties such as high hardness and phase transformation stability of high temperature. In present study, the nanocomposite coating layers with high hardness on WC substrate are investigated using high entropy alloy target made a powder metallurgy. Among the many surface coating methods, reactive magnetron sputtering is considered to be a proper process because of homogeneity of microstructure, improvement of productivity and simplicity of independent control for several critical deposition parameters. The N2 is applied to reactive gas to make nitride system with transition metals which is much harder than only alloy systems. The acceleration voltage from 100W to 300W is controlled by direct current power with various deposition times. The coating layers are systemically investigated by structural identification (XRD), evaluation of microstructure (FE-SEM, TEM) and mechanical properties (Nano-indenter).

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Cancer stem cell theory and update in oral squamous cell carcinoma (구강 편평세포암종에서의 암줄기세포 이론과 최신 지견)

  • Kim, Deok-Hun;Yun, Jun-Yong;Lee, Ju-Hyun;Kim, Soung-Min;Myoung, Hoon
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.37 no.2
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    • pp.97-108
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    • 2011
  • Cancer stem cells have stem cell-like features, such as the ability for self-renewal and differentiation but show unlimited growth because they have the lost normal regulation of cell growth. Cancer stem cells and normal stem cells have similar features. They show high motility, diversity of progeny, robust proliferative potential, association with blood vessels, immature expression profiles, nestin expression, epidermal growth factor (EGF)-receptor expression, phosphatase and tensin homolog (PTEN) expression, hedgehog pathway activity, telomerase activity, and Wnt pathway activity. On the other hand, with cancer cells, some of these signaling pathways are abnormally modified. In 1875, Cohnheim suggested the concept of cancer stem cells. Recently, evidence for the existence of cancer stem cells was identified. In 1994, the cancer stem cells' specific cell surface marker for leukemia was identified. Since then, other specific cell surface markers for cancer stem cells in solid tumors (e.g. breast and colon cancer) have been identified. In oral cancer, studies on cancer stem cells have been performed mainly with squamous cell carcinomas. Oral cancer specific cell surface markers, which are genes strongly expressed in oral cancer and cancer stem cell specific side populations, have been identified. Cancer stem cells are resistant to radiotherapy and chemotherapy. Therefore, to eliminate malignant tumors efficiently and reduce the recurrence rate, therapy targeting cancer stem cells needs to be performed. Currently, studies targeting the cancer stem cells' specific signaling pathways, telomerase and tumor vasculatures are being done.

Quantitative Analysis of 3D Printing Layered Shape according to the Flatness of Construction Surface (시공표면평탄에 따른 3D 프린팅 적층형상 정량분석)

  • Park, Jin Su;Kim, Kyung Taek
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.2
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    • pp.257-261
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    • 2022
  • Additive manufacturing (AM, also known as 3D printing) applied to the construction industry is implemented and verified for various effects since advantages such as high design freedom, improving worker safety, and predictable construction period. However, due to the low maturity compared to the existing technology, studies are underway to solve new problems that occur in the overall of AM technology. In this paper, we confirm the effect of low construction surface flatness on the stacked features in the process of on-site AM construction. In particular, unstable AM features are determined through quantitative analysis by laser scanning, and a construction strategy is proposed for the surface flattening.

STEP Rally

  • 유상봉
    • Proceedings of the CALSEC Conference
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    • 2000.08a
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    • pp.151-163
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    • 2000
  • ㆍ 참여 시스템 증가/STEP기능 홍보 ㆍ 일부 파일에서 error 발생 (특히, Surface) ㆍ 한글 지원 안됨 ㆍ 기술표준원, STEP 센터 등에서의 Authority를 갖는 테스트 필요 -국제 및 국내 인증 역할 병행 ㆍ 테스트 항목 상세화 필요 - color, 3D text annotation, drawing view, features - 변환 후 area, volume, centroid 등 확인

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