• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.424-427
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• 2011

방송 환경과 인터넷 환경이 융합되고 스마트 TV의 등장에 따라, 사용자는 복잡한 미디어 서비스 환경에 노출되었다. 이로 인해 사용자가 접하는 미디어 콘텐츠의 종류와 데이터의 양은 기하급수 적으로 증가 하고 있다. 웹과 인터넷을 기반으로 하는 정보기술은 모바일 전자 기술의 발달에 따라 데스크탑 이라는 공간적인 한계를 벗어나 유기적인 유비쿼터스 환경으로 변화하고 있으며, 정보 및 콘텐츠의 개념은 웹문서와 텍스트를 넘어서 UCC, 음악, 영화 등의 모바일 멀티미디어 콘텐츠들로까지 빠르게 확장되고 있다. 또한, N-스크린과 IPTV 서비스의 등장은 사용자로 하여금 장소와 시간에 관계없이 미디어를 취득할 수 있는 이득을 제공할 수 있으나 사용자가 선택은 더욱 힘들어 졌다. 방송 통신 융합 단말에서 콘텐츠에 대한 정보를 제공 받기 위해서는 TV-Anytime 인터페이스, MPEG Query Format 인터페이스, OPEN API 등이 사용 가능하다. TV-Anytime 인터페이스는 대용량 저장 장치를 갖는 방송 단말기에서 메타데이터를 제공 및 검색하기 위한 인터페이스를 제공하며, MPEG Query Format 인터페이스는 MPEG-7을 기반으로 하는 메타데이터를 검색하기 위한 인터페이스를 제공한다. 또한, OPEN API는 업체들을 중심으로 공개적으로 제공 되어지는 API로 개방과 참여를 목적으로 한다. 이에 본 논문에서는 사용자의 콘텐츠 사용 정보를 바탕으로 선호 정보를 생성하고, 이를 바탕으로 콘텐츠에 대해서 강화된 정보를 생성하기 위한 서비스를 설계 및 개발한다.

• Proceedings of the Korean Vacuum Society Conference
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• 1994.02a
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• pp.35-35
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• 1994

The surface segragation of NiZr, CuZr alloy has been studied wi th X-ray Imotoelectron spectroscopy(XPS), Auger electron spectroscopy(AES) and low energy ion scattering(LEIS). The composition of outmost atomic layer has been determinded by the use of LEIS at several incident energies using Ar+ ion. In the LEIS analysis, the effect of charge exchange has been estimated by a novel measurment of the charge exchange parameters while simul taneous determining the relative concentrations of Ni and Zr and the complementary information obtained will be described. The composition of the clean annealed surface, measured with AES only, will be contrasted wi th the surface concentration of the preferentially sputtered surface. The experimental results has been clearly demonstrated that when the NiZr ruld CuZr alloys are exposed to continuous Ar+ ion bombardment the outermost atomic layer is Zr rich due to preferential sputtering of Ni atoms. where Ni is preferentially sputtered, but the difference in sputtering yields is not sufficient to explain the observed composition. Therefore, it is necessary to consider other processes such as Radiation Induced Segregation(RIS). The surface composition of the heated sample surface predicts that Zr should surface segregate which futher supports the view that part of the Zr enrichment is due to RIS.to RIS.

• Journal of Biosystems Engineering
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• v.39 no.2
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• pp.115-121
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• 2014

Background: Frequent outbreaks of foodborne illness have been increased awareness of food safety. CDC estimates that each year roughly 48 million people gets sick, 128,000 are hospitalized and 3,000 die of foodborne diseases in US. In Korea, 6,058 were hospitalized and 266 incidents were reported in 2012. It is required to develop rapid methods to identify hazard substances in food products for protecting and maintaining safety of the public health. However, conventional methods for pathogens detection and identification involve prolonged multiple enrichment steps. Purpose: This review aims to provide information on biosensors to detect pathogens in food products to enhance food safety. Results: Foodborne outbreaks continue to occur and outbreaks from various food sources have increased the need for simple, rapid, and sensitive methods to detect foodborne pathogens. Conventional methods for foodborne pathogens detection require tremendous amount of labor and time. Biosensors have drawn attentions in recent years because of their ability to detect analytes sensitively and rapidly. Principles along with their advantages and disadvantages of a variety of food safety biosensors including fiber optic biosensor, impedimetric biosensor, surface Plasmon resonance biosensor, and nano biosensor were explained. Also, future trends for the food safety biosensors were discussed.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.04a
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• pp.349-353
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• 2008

With the development of the internet and the spread of 'digital home', the communities in cyber space have been especially revitalized since the information-oriented society. Apartment houses provided networks that are well equipped with internet websites, which build up the houses as a virtual space unit. This study attempted to conducted the questionnaire research for apartment occupants in order to investigate their recognition of and participation in the virtual community and demand for the classified contents The results are as follows. 1) First of all, some easy-access programs are necessary to be groped while aggressive promotional strategies for virtual community that create interests of residents are required to make progress to increase the participation for virtual community 2) 'Gender', 'the form of ownership' and 'level of using the Internet' show significant differences in the case of 'needs in the like-minded people's association', the participation of residents that is induced by both online and offline can cause positive effects on community activity 3) Needs in community enrichment are generally high so that various contents development related to those are necessary. 4) Effects of virtual community on the residential community are on the whole affirmative.

• Genomics & Informatics
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• v.8 no.3
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• pp.142-149
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• 2010

In recent years, genome-wide association (GWA) studies have successfully led to many discoveries of genetic variants affecting common complex traits, including height, blood pressure, and diabetes. Although GWA studies have made much progress in finding single nucleotide polymorphisms (SNPs) associated with many complex traits, such SNPs have been shown to explain only a very small proportion of the underlying genetic variance of complex traits. This is partly due to that fact that most current GWA studies have relied on single-marker approaches that identify single genetic factors individually and have limitations in considering the joint effects of multiple genetic factors on complex traits. Joint identification of multiple genetic factors would be more powerful and provide a better prediction of complex traits, since it utilizes combined information across variants. Recently, a new statistical method for joint identification of genetic variants for common complex traits via the elastic-net regularization method was proposed. In this study, we applied this joint identification approach to a large-scale GWA dataset (i.e., 8842 samples and 327,872 SNPs) in order to identify genetic variants of obesity for the Korean population. In addition, in order to test for the biological significance of the jointly identified SNPs, gene ontology and pathway enrichment analyses were further conducted.

• Education of Primary School Mathematics
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• v.18 no.3
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• pp.217-234
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• 2015

Computer technology and internet environment have been adapted to teaching and learning in Korean educational context. However, there are several problematic areas in operating web site for teaching and learning mathematics. This study aims to investigate the operating system, such as designing web site, contents information, and contents connection of NRICH web site that has been operated as a part of 'Millennium Mathematics Project' of Cambridge University since 1997. Based on these categories, this study also gives the implications for how to develop theme-centered contents, accumulation of continuous and long-term data, induction of user's participation, and various cooperation project.

• Structural Engineering and Mechanics
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• v.76 no.4
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• pp.505-512
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• 2020

This paper presents an error estimation technique for 2-D crack analysis by an enriched natural element (more exactly, enriched Petrov-Galerkin NEM). A bare solution was approximated by PG-NEM using Laplace interpolation functions. Meanwhile, an accurate quasi-exact solution was obtained by a combined use of enriched PG-NEM and the global patch recovery. The Laplace interpolation functions are enriched with the near-tip singular fields, and the approximate solution obtained by enriched PG-NEM was enhanced by the global patch recovery. The quantitative error amount is measured in terms of the energy norm, and the accuracy (i.e., the effective index) of the proposed method was evaluated using the errors which obtained by FEM using a very fine mesh. The error distribution was investigated by calculating the local element-wise errors, from which it has been found that the relative high errors occurs in the vicinity of crack tip. The differences between the enriched and non-enriched PG-NEMs have been investigated from the effective index, the error distribution, and the convergence rate. From the comparison, it has been justified that the enriched PG-NEM provides much more accurate error information than the non-enriched PG-NEM.

• Nuclear Engineering and Technology
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• v.52 no.5
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• pp.995-1001
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• 2020

With the development of digital instrumentation and control (I&C) devices, cyber security at nuclear power plants (NPPs) has become a hot issue. The Stuxnet, which destroyed Iran's uranium enrichment facility in 2010, suggests that NPPs could even lead to an accident involving the release of radioactive materials cyber-attacks. However, cyber security research on industrial control systems (ICSs) and supervisory control and data acquisition (SCADA) systems is relatively inadequate compared to information technology (IT) and further it is difficult to study cyber-attack taxonomy for NPPs considering the characteristics of ICSs. The advanced research of cyber-attack taxonomy does not reflect the architectural and inherent characteristics of NPPs and lacks a systematic countermeasure strategy. Therefore, it is necessary to more systematically check the consistency of operators and regulators related to cyber security, as in regulatory guide 5.71 (RG.5.71) and regulatory standard 015 (RS.015). For this reason, this paper attempts to suggest a template for cyber-attack taxonomy based on the characteristics of NPPs and exemplifies a specific cyber-attack case in the template. In addition, this paper proposes a systematic countermeasure strategy by matching the countermeasure with critical digital assets (CDAs). The cyber-attack cases investigated using the proposed cyber-attack taxonomy can be used as data for evaluation and validation of cyber security conformance for digital devices to be applied, and as effective prevention and mitigation for cyber-attacks of NPPs.

• Herbal Formula Science
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• v.30 no.3
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• pp.175-182
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• 2022

Objective : This study aims to investigate the active ingredients and potential mechanisms of the beneficial herb on human cancers such as the liver by employing network pharmacology. Methods : Ingredients and their target information was obtained from various databases such as TM-MC, TTD, and Drugbank. Related protein for liver cancer was retrieved from the Comparative Toxicogenomics Database and literature. A hypergeometric test and gene set enrichment analysis were conducted to evaluate associations between protein targets of red ginseng (Panax ginseng C. A. Meyer) and liver cancer-related proteins and identify related signaling pathways, respectively. Network proximity was employed to identify active ingredients of red ginseng on liver cancer. Results : A compound-target network of red ginseng was constructed, which consisted of 363 edges between 53 ingredients and 121 protein targets. MAPK signaling pathway, PI3K-Akt signaling pathway, p53 signaling pathway, TGF-beta signaling pathway, and cell cycle pathway was significantly associated with protein targets of red ginseng. Network proximity results indicated that Ginsenoside Rg1, Acetic Acid, Ginsenoside Rh2, 20(R)-Ginsenoside Rg3, Notoginsenoside R1, Ginsenoside Rk1, 2-Methylfuran, Hexanal, Ginsenoside Rd, Ginsenoside Rh1 could be active ingredients of red ginseng against liver cancer. Conclusion : This study suggests that network-based approaches could be useful to explore potential mechanisms and active ingredients of red ginseng for liver cancer.

• Herbal Formula Science
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• v.31 no.1
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• pp.41-51
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• 2023

Objectives : Raphani Semen (Raphanus sativus L.) is known for the various beneficial effects in Korean medicine. This study aimed to investigate the effect of Raphani Semen extract (RSE) against arachidonic acid (AA)+iron-induced oxidative stress in cells. Methods : Ingredients, their target information, oxidative stress liver injury-related proteins was obtained from various network pharmacology databases and software. A hypergeometric test and enrichment analysis were conducted to evaluate associations between protein targets of RSE. The cell viability was assessed by MTT assay, and immunoblot analysis was used to confirm the molecular mechanisms. Results : A compound-target network of RSE was constructed, which consisted of 336 edges between 18 ingredients and 123 protein targets. PI3K-Akt signaling pathway, ErbB signaling pathway, HIF-1 signaling pathway, PPAR signaling pathway, and AMPK signaling pathway was significantly associated with protein targets of RSE. RSE protected HepG2 cells against AA+iron-induced oxidative stress as mediated with AMPK signaling. Conclusion : RSE was found to protect the cells against oxidative stress via the AMPK signaling pathway.