• Elastomers and Composites
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• v.40 no.4
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• pp.266-271
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• 2005

In this work, the thermal stability factors, such as the thermal decomposition temperature, decomposition activation energy ($E_d$), and char yield, were measured to investigate the effect of silicone rubber (SR) content on the thermal stabilities of EPDM/SR blends. As a result, the thermal decomposition curve of EPDM/SR blends was similar to the neat EPDM rubber at 10 wt% SR and the thermal decomposition temperature increased above this content. The $E_d$ value of EPDM rubber initially decreased and then was constant above 20 wt% weight losses. The $E_d$ of EPDM/SR blends was higher than that of the neat EPDM rubber and then decreased with increasing the weight loss when the SR content was in the range of 10-20 wt%. Whereas the $E_d$ of the blends was lower than that of the EPDM rubber and then decreased with increasing the weight loss when 30 wt% SR was added. The char yield at $800^{\circ}C$ increased with increasing the SR content, because the decomposition of silane groups in the backbone was capable of forming a silane-rich residue after the initial stage of thermal degradation, which finally prevents further heat transfer and diffusion in the blends.

• Polymer(Korea)
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• v.32 no.5
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• pp.489-496
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• 2008

The thermotropic liquid crystalline behavior of a homologous series of poly[1-{4-(4' nitrophenylazo) phenoxycarbonylalkanoyloxy}ethylene]s (NAPEn, n = $2{\sim}8$,10, the number of methylene units in the spacer) have been investigated. All of the homologues formed monotropic nematic phases. The glass transition temperatures decreased with n. This is attributed to a plasticization of the backbone by the side chains. The isotropic-nematic phase transition temperatures decreased with increasing n up to 7 and showed the odd-even effect. However it became almost constant when n is more than 7. This behavior was rationalized in terms of the change in the average shape of the side chain on varing the parity of the spacer. This rationalization also accounts for the observed variation of the entropic gain for the clearing transition. The mesophase properties of NAPEn were entirely different from those reported for the polymers in which the azobenzene groups are attached to polyacrylate, polymathacrylate, and polystyrene backbones through polymethylene spacers. The results indicate that the mode of chemical linkage of the side group with the main chain plays an important role in the formation, stabilization, and type of mesophase.

• Food Science and Preservation
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• v.17 no.5
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• pp.727-732
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• 2010

Activity-guided fractionation of an ethyl acetate (EtOAc)-soluble portion of an ethanolic extract from the leaves of cultivated mountain ginseng, using pancreatic lipase inhibition assay, led to the isolation and identification of three flavonoids of a previously described structure, kaempferol-3-O-sophoroside (I), kaempferol-3-O-${\beta}$-Dglucopyranoside (astragalin, II) and kaempferol (III). All compounds (I.III) showed pancreatic lipase inhibitory activities, with $IC_{50}$ values ranging from $20.3{\pm}2.2$ to $9.1{\pm}1.5$ ${\mu}M$, kaempferol (III) showed the most potent inhibitory activity with an $IC_{50}$ of $9.1{\pm}1.5$ ${\mu}M$. The level of activity may depend on the number of C-3 glucosyl group(s) linked to the kaempferol backbone, and the isolated compounds may have promise as pancreatic lipase inhibitors.

• Convergence Security Journal
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• v.21 no.2
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• pp.11-18
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• 2021

To protect tangible and intangible assets, most of the companies are conducting information protection monitoring by using various security equipment in the IT service network. As the security equipment that needs to be protected increases in the process of upgrading and expanding the service network, it is difficult to monitor the possible exposure to the attack for the entire service network. As a countermeasure to this, various studies have been conducted to detect external attacks and illegal communication of equipment, but studies on effective monitoring of the open service ports and construction of illegal communication monitoring system for large-scale service networks are insufficient. In this study, we propose a framework that can monitor information leakage and illegal communication attempts in a wide range of service networks without large-scale investment by analyzing 'Netflow statistical information' of backbone network equipment, which is the gateway to the entire data flow of the IT service network. By using machine learning algorithms to the Netfllow data, we could obtain the high classification accuracy of 94% in identifying whether the Telnet service port of operating equipment is open or not, and we could track the illegal communication of the damaged equipment by using the illegal communication history of the damaged equipment.

• Journal of Marine Life Science
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• v.4 no.1
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• pp.1-13
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• 2019

Fucoidan is a physiologically functional ingredient extracted from seaweed brown algae, which is a sulfated polysaccharide containing fucose as a main molecule backbone. Fucoidan has a variety of immune-modulating or -stimulating effects, including promoting antigen uptake and enhancing anti-bacterial, anti-viral and anti-tumor effects. In addition, recent studies have suggested the possibility of use of fucoidan as a vaccine adjuvant in the field of human vaccine. Use of fucoidan as supplementary feeds have already been studied, but the development of fucoidan as an adjuvant of fish vaccine is still premature. However, the intracellular uptake of fucoidan differs depending on the molecular weight of fucoidan, and there is a limit to the study on specific immune response including the production of antibodies to fish caused by an artificial infection of pathogen. Although the safety of fucoidan has been demonstrated in animal cells, there is a need to confirm the safety of fucoidan in fish. Therefore, active research in this field is needed to use fucoidan as a vaccine adjuvant. This study discussed the effects of fucoidan on immune stimulation, humoraland cellular- immunity including humans and animals. The prospect of fucoidan as a vaccine adjuvant in fisheries also reviewed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.262-269
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• 2019

This study was conducted to pave the way for the development and operation of education and training programs to nurture skilled North Korean construction workers. Such programs would help to meet the expanded demand for setting up infrastructure, which is the backbone of the two Koreas' economic cooperation and mutual development. To achieve this initiative, the targets and scopes of education and training were determined by classifying business types for education and training purposes by construction sector. Furthermore, each education and training course and their allocated time frames were analyzed. Issues related to inter-Korean economic cooperation in the border area were also analyzed to determine regional characteristics. Education and training programs were thus classified into three types of infrastructure units: society, industry, and life infrastructure units. Social infrastructure units are the common demand of the whole border area, including construction of roads, railways, and harbors, as well as inspection and maintenance. Industrial infrastructure units are programs for industrial facilities centering on the designated special economic zone in the western part of the border area. Life infrastructure units are programs for infrastructure facilities such as large, complex facilities and residential facilities for the eastern tourist belt side.

• The Korean Journal of Archival Studies
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• no.30
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• pp.205-247
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• 2011

The Public Records and Archives Management Law was enacted on June 24, 2009 and was in effect in April 1, 2011. This Act is different from existing Public Archives Law and National Archives Law. Before enacting Public Records and Archives Management Law, Public Archives Law and Information Disclosure Law was the backbone of Japanese Public Records management system. Public Archives Law is composed of management and access for non-active records in Public Archives. Information Disclosure Law is prescribed management of active-records in administrative agency. Public Records and Archives Management Law is the first comprehensive law of managing administrative records including historical records (nonactive-records). The law is prescribed that the public records and archives are intellectual resources shared by citizens and allows people to have more access to them. The law states that public records is basis of democracy and accountability for current and future generation. This article analyzed the relationship of law and its implementing ordinance and Guideline of administrative public records management, and analyzed the law and record-schedule. Furthermore, this article examined significance of the law and democracy, administration's transparency. In accordance with enacting the law, Japanese Public Records Management System will develop. and we must pay close attention to that situation.

• The Korean Journal of Archival Studies
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• no.39
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• pp.229-280
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• 2014

This essay focused on the critical review of Korean National Archives System(KNAS) since 1999. We think that KNAS could establish the backbone with basic records law on 1999. It's right. But it is not enough for explaining the full historical growth. there are some factors below the growth. This essay tried to the basic three factors below. That means the the demonstration discourse, archival system practices, and archiving technologies in the contexts of the unique standard by the basic records law. These three factors have been the powerful engine for the take-off of KNAS since 1999. However, the powerful history has shadows of growth. This essay narrated the shadows by the frame of 'counter-destiny'. The most dangerous shadow is the loss of archival cultures because the KNAS has been composed of efficiency mentality. That means that KNAS has no unique archival culture for citizenship. So, this essay tried to talk about 'Post1999' to Archives Community.

• Korean Journal of Food Science and Technology
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• v.52 no.6
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• pp.595-603
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• 2020

To elucidate the structure-function relationship of polysaccharides obtained from Colocasia esculenta, the immuno-stimulating polysaccharide, CE-4a was purified to homogeneity from the crude polysaccharide (CE) extracted from the corms of C. esculenta by two subsequent column chromatographies using DEAE-Sepharose FF and Sephadex G-100, and analysis of their immuno-stimulatory activities and structure were conducted. CE-4a showed an increase in anti-complementary activity in a dose-dependent fashion. The molecular mass was estimated to be 182.4 kDa, which mainly consisted of galactose (43.5%) and mannose (18.2%). Methylation analysis indicated that CE-4a comprised at least 10 different glycosyl linkages, such as terminal Galp, 3-linked Galp, and 4-linked Manp, as well as a characteristic linkage, 2,4,6-branched Manp residue. To analyze the fine structure of CE-4a, it was sequentially digested using endo-α-(1→4)-polygalacturonase, exo-α-galactosidase and endo-β-1,4-D-mannanase. These analyses suggested that CE-4a is to be a highly branched galactomannan with a (1→4)-mannan backbone and galactopyranosyl oligosaccharide side chains.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.169-178
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• 2022

Morphemes are most primitive units in a language that lose their original meaning when segmented into smaller parts. In Korean, a sentence is a sequence of eojeols (words) separated by spaces. Each eojeol comprises one or more morphemes. Korean morphological analysis (KMA) is to divide eojeols in a given Korean sentence into morpheme units. It also includes assigning appropriate part-of-speech(POS) tags to the resulting morphemes. KMA is one of the most important tasks in Korean natural language processing (NLP). Improving the performance of KMA is closely related to increasing performance of Korean NLP tasks. Recent research on KMA has begun to adopt the approach of machine translation (MT) models. MT is to convert a sequence (sentence) of units of one domain into a sequence (sentence) of units of another domain. Neural machine translation (NMT) stands for the approaches of MT that exploit neural network models. From a perspective of MT, KMA is to transform an input sequence of units belonging to the eojeol domain into a sequence of units in the morpheme domain. In this paper, we propose a deep learning model for KMA. The backbone of our model is based on the BERT-fused model which was shown to achieve high performance on NMT. The BERT-fused model utilizes Transformer, a representative model employed by NMT, and BERT which is a language representation model that has enabled a significant advance in NLP. The experimental results show that our model achieves 98.24 F1-Score.