• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVI)
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• pp.431-432
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• 2005

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVI)
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• pp.423-423
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• 2005

• 한국진공학회:학술대회논문집
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• 한국진공학회 2009년도 제36회 동계학술대회 초록집
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• pp.226.2-226.2
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• 2009

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVII)
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• pp.775-775
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• 2005

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2009년도 춘계학술대회 논문집
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• pp.995-996
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• 2009

• 동의생리병리학회지
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• 제19권4호
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• pp.908-912
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• 2005

Bio-Q is a modified prescription with the activities of supplementing Qi and blood in human body. In the present study, immunomodulatory effect of Bio-Q was examined. After oral administration of Bio-Q for 7 days to Balb/c mice, splenocytes were isolated and immunological experiments were performed. Bio-Q significantly increased the proliferation of splenocytes exposed to concanavalin A (Con A), while it did not in case of lipopolysaccharide (LPS) stimulation. Bio-Q also significantly increased CD3/CD19, CD4/CDB and NK cells by flow cytometric analysis. In addition, Bio-Q significantly enhanced the level of $INF-\gamma$ in splenocytes, but not $TNF-\alpha$ by ELISA. These results strongly suggest that Bio-Q has immunomodulatory activity through the regulation of T cell mediated immune pathway.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.499-501
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• 2021

4차 산업에 대한 꾸준한 투자와 개발로 IoT 기술이 보다 발전하게 되었고, 이에 따라 필요한 보안 플랫폼을 제공할 수 있는 플랫폼 기반의 블록체인 기술이 필요하게 되었다. 블록체인 기반의 IoT 어플리케이션인 BIoT는 향후 보다 다양한 분야에 적용되기 위하여 보다 정교한 보안성과 확장성 및 효율성을 제공하는 플랫폼 기술이 요구된다. 본 논문에서는 최근 발표되어 이슈가 되고 있는 스마트 컨트랙트 ETH 2.0을 분석하여 기존의 BIoT 개발에 요구되는 사항들을 비교하고 향후 다가오는 BIoT의 미래를 전망하여 본다.

• 농촌계획
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• 제23권3호
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• pp.21-36
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• 2017

Climate change is intensifying storms and floods around the world. Where nature has been destroyed by development, communities are at risk from these intensified climate patterns. This study was to suggest a methodology for estimating flood vulnerability using Potential Flood Damage(PFD) concept and classify city/county about Potential Flood Damage(PFD) using various typology techniques. To evaluate the PFD at a spatial resolutions of city/county units, the 20 representative evaluation indexing factors were carefully selected for the three categories such as damage target(FDT), damage potential(FDP) and prevention ability(FPA). The three flood vulnerability indices of FDT, FDP and FPA were applied for the 167 cities and counties in Korea for the pattern classification of potential flood damage. Potential Flood Damage(PFD) was classified by using grouping analysis, decision tree analysis, and cluster analysis, and characteristics of each type were analyzed. It is expected that the suggested PFD can be utilized as the useful flood vulnerability index for more rational and practical risk management plans against flood damage.

• 한국자기공명학회논문지
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• 제17권2호
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• pp.81-85
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• 2013

Various fluorine-containing materials are used in electronic devices like LCD display panels and Li-ion batteries. The structural conformation of fluorine in fluorinated materials is an important contributing factor that influences the chemical and physical properties. The conformation can be changed by heat and stress during manufacture or use. Understanding the conformational changes is critical for understanding the performance and durability of electronic devices. Solid-state NMR spectroscopy could be widely used for the analysis of various fluorine-containing materials for electronic devices. However, conventional CPMAS probes cannot be used for in-situ analysis of fluorine-containing electronic devices like LCD panels and Li-ion batteries. In this paper, we show the design, construction, and optimization of a $^{19}F-^{13}C$ double-resonance solid-state NMR probe for a 400MHz wide-bore magnet with a flat square coil for in-situ analysis of fluorine-containing electronic devices without observing fluorine background signals. This custom-built probe does not show any fluorine background signals, and can have higher efficiency for lossy samples.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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• pp.273-276
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• 2004

Genome-scale expression data provides us with valuable insights about organisms, but the biological validation of in-silico analysis is difficult and often controversial. Here we present a new approach for integrating previously established knowledge with computational analysis. Based on the known biological evidences, IGAM (Integrated Gene Association Matrix) automatically estimates the relatedness between a pair of genes. We combined this association knowledge to the regulatory network modeling and fuzzy clustering in yeast 5. Cerevisiae. The result was found to be more effective for extracting biological meanings from in-silico inferences for gene expression data.