• Journal of Food Hygiene and Safety
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• v.18 no.3
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• pp.146-152
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• 2003

Pyruvate dehydrogenase phosphatase (PDP) is a mitochondrial protein serine/threonine phosphatase that catalyzes the dephosphorylation and concomitant reactivation of the pyruvate dehydrogenase component of the pyruvate dehydrogenase complex (PDC). PDP consists of a catalytic subunit (PDPc, Mr 52,600) and regulatory subunit (PDPr, Mr 95,600). In the presence of $Ca^{2+}$, PDPc binds to the dihydrolipoamide acetyltransferase (E2) component of the pyruvate dehydrogenase complex in proximity to its substrate, the phosphorylated E1 component, thereby increasing the rate of dephosphorylation. PDPc possesses and intrinsic $Ca^{2+}$ binding site and a second $Ca^{2+}$ site is generated in the presence of E2. Using the unique interaction, highly pure PDPc was produced by the GSH-Sepharose-GST-L2 matrix with a specific activity of approx. 1000 U/mg and a yield of about 80%.

• 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.

• Polymer(Korea)
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• v.38 no.4
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• pp.544-549
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• 2014

Double layered film consisting of polyimide/polysiloxane and interface with nano domain structure was fabricated through stepwise layer formation and subsequent aging steps. During aging of film, nano phase separation occurred between the top layer polysiloxane and the upper layer of polyimide, which was observed by transmission electron microscope (TEM). A stable and uniform polysiloxane layer was obtained, showing the reproducible pressure-sensitive adhesion (PSA) property with the peel strength of 8-13 g/inch at even $300^{\circ}C$. In addition, the resulting polymide/polysiloxane film was thermo-stable up to $435^{\circ}C$, providing the promising properties suitable for application in microelectronics processing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6310-6316
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• 2014

The increase in the Internet and smart device users requires high-level network security. Network security consists of Web Firewall, Network Firewall, IPS, DDoS system, UTM (Unified Treat Management), VPN, NAC (Network Access Control), Wireless security, Mobile security, and Virtualization. Most network security solutions running on IPv4, and IPv6 network services are not sufficiently ready. Therefore, in this paper, this study designed and implemented important functions of Network Access Control (NAC), which include IPv6 host detection, isolation, blocking and domain assignment for the IPv6 network. In particular, domain assignment function makes 128 bits IPv6 address management easy. This system was implemented on a KISA IPv6 test-bed using well known devices. Finally, the test result showed that all IPv6 based wired and wireless devices were well-controlled (detection, blocking, isolation and domain assignment).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.107-110
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• 2018

Image compression is the application of Data compression on digital images. The (DCT) discrete cosine transform is a technique for converting a time domain to a frequency domain. It is widely used in image compression. First, the image is divided into 8x8 pixel blocks. Apply the DCT to each block while processing from top to bottom from left to right. Each block is compressed through quantization. The space of the compressed block array constituting the image is greatly reduced. Reconstruct the image through the IDCT. The purpose of this research is to understand compression/decompression of images using the DCT method.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.791-796
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• 2000

컴포넌트를 기반으로 애플리케이션을 구축하는 패러다임이 제시되면서 특히, 비즈니스 영역에 대한 개발과 기반 연구가 활발히 진행되고 있다. 최근 소프트웨어가 사용되는 영역이 복잡하고 대형화됨에 따라서, 문제영역의 분석을 통한 요구사항을 추출하는 일련의 작업이 점점 어렵게 인식되고, 컴포넌트를 개발하기 위한 모델기반의 방법론은 외부로 나타나는 인터페이스와 실제 구현되는 내부를 분리해서 설계하는 추세를 보이고 있다. 또한, 요구사항 단계에서의 문제점이 전체적인 소프트웨어 개발에 커다란 영향을 미치는 문제점들을 해결하기 위하여 좀더 체계적이고 총괄적인 접근으로 요구공학의 중요성이 강조되고 있다. 본 논문에서는 비즈니스 컴포넌트 개발을 지원하기 위해 문제 영역에서 올바른 요구사항을 체계화하고 분석할 뿐만아니라, 컴포넌트의 내부와 외부 설계, 개발을 고려한 도메인과 서비스 두 가지 관점을 포함한 요구공학 라이프사이클 정의하고자 한다. 또한, 도메인과 서비스 관점을 추출하기위해서 간략한 스펙을 제시하며 사례를 통해, 사용자가 원하는 실세계의 비즈니스 개념을 올바르게 적용하고, 분석, 설계, 개발단계에 유용한 정보로 사용되도록 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.577-580
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• 2004

본 논문은 지식의 규칙 표현을 위한 저작도구인 규칙편집기에 대하여 기술한다. 지식표현방법은 인간의 일상언어와 컴퓨터와의 표현구조를 고려하여 결정된다[2]. 이러한 지식표현방법에는 규칙, 프레임, 의미망, 그래프 등이 있다[2]. 본 논문에서는 지식을 규칙의 형태로 표현하고자 한다. 또한, 표현하고자 하는 지식의 영역은 비즈니스 도메인으로 한정한다. 비즈니스 지식이란 기업의 업무처리에 필요한 제반 지식인 업무처리 절차, 규정 등을 의미하며, 현재 대부분의 기업이 운영하는 기존 응용 시스템은 프로그램 소스의 일부분으로 비즈니스 규칙을 포함하고 있다. 기존 응용 시스템은 경영 상황 및 업무의 변경 등에 따른 비즈니스 지식의 잦은 수정 요구로 시스템의 유지 관리에 많은 비용과 수고가 필요하다. 이러한 문제점의 해결을 위하여 응용 프로그램에서 비즈니스 지식을 분리하여 관리하는 비즈니스 지식처리기술이 기업 응용 프로그램 개발에 도입되고 있다. 코드 속에서 분리된 비즈니스 지식은 규칙의 형태로 표현되고, 이들 규칙은 독립된 지식베이스에서 관리된다. 본 논문에서는 코드에서 분리된 비즈니스 지식을 규칙의 형태로 표현하기 위한 규칙편집기 개발과 개발된 편집기의 기능 및 특징에 대하여 기술한다.

• Journal of Life Science
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• v.33 no.1
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• pp.8-14
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• 2023

Peroxidasin (PXDN), a multidomain heme peroxidase containing extracellular matrix (ECM) motifs, as well as a catalytic domain, catalyzes the sulfilimine crosslink of collagen IV (Col IV) to reinforce Col IV scaffolds. We previously reported that PXDN is required for endothelial cell (EC) survival and growth signaling through sulfilimine crosslink-dependent matrix assembly. In this study, we examined whether peroxidase activity is required for PXDN function in ECs. First, we constructed a mutant PXDN by point mutation of two highly conserved amino acids, Q823 and D826, which are present in the active site of the peroxidase domain. After isolation of HEK293 clones highly expressing the mutant protein, conditioned medium (CM) was obtained after incubating the cells in serum-free medium for 24 hours and then analyzed by Western blot analysis under nonreducing conditions. The results revealed that the mutant PXDN formed a trimer and that it was cleaved by proprotein convertase-like wild-type (WT) PXDN. However, peroxidase activity was not detected in the CM containing the mutant PXDN, in contrast to that of WT PXDN. In addition, the sulfilimine crosslink ability of the mutant PXDN was lost. Moreover, the CM containing the mutant PXDN failed to promote the growth of PXDN-depleted ECs, unlike the CM containing WT PXDN. These results suggest that the peroxidase activity of PXDN affects EC growth by forming a sulfilimine crosslink.

• Journal of KIISE:Software and Applications
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• v.37 no.11
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• pp.826-836
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• 2010

This paper proposes a hybrid machine translation system which integrates SMT, RBMT, and PBMT in serial manner. SMT in our project has been implemented as a Quasi-syntax-based system where monotone search is done, given a preprocessed string of foreign language. Preprocessing includes rule-based reordering, NE recognition, clausal splitting, and attaching pattern translation information at the end of the input text. For lengthy & complex sentences, clausal splitting turned out to generate better translation than normal input.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.673-676
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• 2010

본 연구에서는 임상시험 데이터를 수집하는 CRF를 웹의 표준인 XML 기반으로 설계하고, 임상시험데이터 표준인 SDTM으로 변환된 eCRF를 생성하는 XML 기반 프로세스을 개발했다. 데이터구조와 폼이 분리되는 XML 기반 개발 프로세스는 XML Schema로 eCRF를 개발하고, SDTM을 적용한 XML 문서를 생성한다. 생성된 XML 문서에서 SDTM 규약에 맞는 도메인별로 변환방법을 제시한다. 이에 eCRF 분석과 데이터베이스 설계 및 구현이 동시에 이루어진다.