• Title/Summary/Keyword: 구조고도화

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The Uneven Regional Developments of Global Production Networks in the ICT Parts and Components Industry (글로벌 생산 네트워크의 지역별 불균형 발전: ICT 부품·소재 산업을 중심으로)

  • Lee, Soh Eun;Kim, Jung-Ho
    • International Area Studies Review
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    • v.18 no.3
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    • pp.205-229
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    • 2014
  • Global production networks (GPNs) emerged as multinational companies strategically relocated different stages of their value chain over many regions. Since GPNs require moving materials, parts, components and finished products across national borders multiple times, as well as coordinating it efficiently, they are intensified further within an integrated region. Within the region, developed countries which enjoy a comparative advantage in higher value-added tasks specialize in the production of ICT parts and components and exhibit high export RCA indices while developing countries show high import RCA indices. But, as developing countries upgrade technological capabilities and achieve industrial upgrading through participation in GPNs, their level of sophistication improves. East Asian countries have participated in GPNs to a greater degree when compared to countries in other regions because of a variety of factors. They have benefited much as shown by a significant increase in the level of ICT sophistication and export shares, which in turn led to uneven regional developments of GPNs in the ICT parts and components industry.

Designing an Automated Production Information Platform for Small and Medium-sized Businesses (중소기업의 자동화 생산 정보 플랫폼 구축 모델 설계)

  • Jeong, Yoon-Su;Kim, Yong-Tae;Park, Gil-Cheol
    • Journal of Convergence for Information Technology
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    • v.9 no.1
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    • pp.116-122
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    • 2019
  • In recent years, small and medium-sized businesses are rapidly changing to an industrial structure where process/quality/energy data aggregates can be automatically or real-time to achieve global competitiveness. In particular, real-time information analysis produced in the production process of small businesses is evolving into a new process process that analyzes, predicts, prescribes and implements significant performance of small businesses. In this paper, we propose a platform-building model that can transform the automated production information system of small businesses into big data so that they can upgrade data that is generated by small businesses. The proposed model has the capability to support operational efficiency (consulting and training) and strategic decision making of small businesses by utilizing a variety of data on the basic information of products produced by small businesses for data collection by smart SMEs. In addition, the proposed model is characterized by close cooperation between small and medium-sized businesses with different regional characteristics and areas of information sharing and system linkage.

Study of Multiple Topic Citation Analysis Service Method Using Citing and Cited Phrases (인용·피인용 구절을 이용한 다주제 인용 분석 서비스 방법 연구)

  • Jung, Hanmin;Kim, Taehong
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.11-20
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    • 2021
  • The analysis of citing and cited phrases provides an opportunity to enhance search-centric academic information services. However, most current studies focus only on citation analysis among academic associations, researchers, and articles, making it challenging to develop higher citation-based information services. This study proposes citation analysis service methods using citing and cited phrases. First, to verify the feasibility of suggested services, we have collected the most highly cited articles with specific domain terms and followed their citing relationship; after that, we found formal citation types and ratios in the original articles. And we conducted structural analysis, especially with three topics, "Deep Learning," "Green Energy," and "Aging," and then structurally illustrates the citation characteristics of related articles. Finally, we collected four most cited articles and all their citing ones for each subject from Google Scholar and analyzed the ratio of citation types and citation spread. We hope that various citation analysis studies and information services can be further developed based on our discussion for designing better information services.

A study on Memory Analysis Bypass Technique and Kernel Tampering Detection (메모리 분석 우회 기법과 커널 변조 탐지 연구)

  • Lee, Haneol;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.4
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    • pp.661-674
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    • 2021
  • Malware, such as a rootkit that modifies the kernel, can adversely affect the analyst's judgment, making the analysis difficult or impossible if a mechanism to evade memory analysis is added. Therefore, we plan to preemptively respond to malware such as rootkits that bypass detection through advanced kernel modulation in the future. To this end, the main structure used in the Windows kernel was analyzed from the attacker's point of view, and a method capable of modulating the kernel object was applied to modulate the memory dump file. The result of tampering is confirmed through experimentation that it cannot be detected by memory analysis tool widely used worldwide. Then, from the analyst's point of view, using the concept of tamper resistance, it is made in the form of software that can detect tampering and shows that it is possible to detect areas that are not detected by existing memory analysis tools. Through this study, it is judged that it is meaningful in that it preemptively attempted to modulate the kernel area and derived insights to enable precise analysis. However, there is a limitation in that the necessary detection rules need to be manually created in software implementation for precise analysis.

A Study of the Operation Management Strategy on the National Critical Infrastructures : Transportation and Logistics Sector

  • Chung, Sung-Hak
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.89-97
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    • 2021
  • The objective of this study is to propose an operation management strategy for the connectivity which are the designated and managed in sector of the transportation and logistics on the national critical infrastructures. The industrial structure is becoming advanced. The national critical infrastructure managed by the shows forms of the cooperative connection and collaborative R&D. Also, in-depth and specific analysis for the disaster safety budget are implemented to consideration for the R&D life cycle. The government responsibility are expanded comprehensively. Needs are exchanging life styles by the economic and safety demands. At this trends, this study encourage facility maintenance and scientific management to the public service. Throughout the result of this study, national critical infrastructure are implementing for protection plan of the sustainable maintenance and management. And, we have to prepare and implement for the consideration of the characteristics through comprehensive guidelines. This study contributes to the disaster and safety management by proposed an operation strategy of the cooperative connection in the sector of transportation and logistic sector on the national critical infrastructure.

Performance Improvement of Cumulus Parameterization Code by Unicon Optimization Scheme (Unicon Optimization 기법을 이용한 적운모수화 코드 성능 향상)

  • Lee, Chang-Hyun;kim, Min-gyu;Shin, Dae-Yeong;Cho, Ye-Rin;Yeom, Gi-Hun;Chung, Sung-Wook
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.124-133
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    • 2022
  • With the development of hardware technology and the advancement of numerical model methods, more precise weather forecasts can be carried out. In this paper, we propose a Unicon Optimization scheme combining Loop Vectorization, Dependency Vectorization, and Code Modernization to optimize and increase Maintainability the Unicon source contained in SCAM, a simplified version of CESM, and present an overall SCAM structure. This paper tested the unicorn optimization scheme in the SCAM structure, and compared to the existing source code, the loop vectorization resulted in a performance improvement of 3.086% and the dependency vectorization of 0.4572%. And in the case of Unicorn Optimization, which applied all of these, the performance improvement was 3.457% compared to the existing source code. This proves that the Unicorn Optimization technique proposed in this paper provides excellent performance.

The Beginning of Decentralization: Seongbuk Village Archive (자치분권의 시작, 성북마을아카이브)

  • Kang, Sungbong
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.1
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    • pp.237-243
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    • 2022
  • Seongbuk Village Archive is a village archive built by Seongbuk-gu Office and Seongbuk Cultural Center to contain the uniqueness and specificity of the region. It is a community archive that preserves the records of the community and a digital archive that builds a database through the digitalization of source data. The management system and home page were established through annual and step-by-step promotion through public-private governance. Seongbuk Village Archive's system is designed to facilitate data accumulation and connection between individual records based on the advanced village record standard classification system. Based on this, Seongbuk Cultural Center tried to produce convergence cultural content by linking records online and off-line. In addition, the composition of items displayed on the website has been diversified to not only preserve records but also produce and utilize content. It is a structure created after contemplating how to show the creation and existence of Seongbuk's historical and cultural resources to users in context. In addition, a richer archive platform was built through various curations and activities of the resident record group.

Performance Improvements of SCAM Climate Model using LAPACK BLAS Library (SCAM 기상모델의 성능향상을 위한 LAPACK BLAS 라이브러리의 활용)

  • Dae-Yeong Shin;Ye-Rin Cho;Sung-Wook Chung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.1
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    • pp.33-40
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    • 2023
  • With the development of supercomputing technology and hardware technology, numerical computation methods are also being advanced. Accordingly, improved weather prediction becomes possible. In this paper, we propose to apply the LAPACK(Linear Algebra PACKage) BLAS(Basic Linear Algebra Subprograms) library to the linear algebraic numerical computation part within the source code to improve the performance of the cumulative parametric code, Unicon(A Unified Convection Scheme), which is included in SCAM(Single-Columns Atmospheric Model, simplified version of CESM(Community Earth System Model)) and performs standby operations. In order to analyze this, an overall execution structure diagram of SCAM was presented and a test was conducted in the relevant execution environment. Compared to the existing source code, the SCOPY function achieved 0.4053% performance improvement, the DSCAL function 0.7812%, and the DDOT function 0.0469%, and all of them showed a 0.8537% performance improvement. This means that the LAPACK BLAS application method, a library for high-density linear algebra operations proposed in this paper, can improve performance without additional hardware intervention in the same CPU environment.

Soil moisture and agricultural drought index estimation based on synthetic aperture radar images for the next-generation water resources satellite application technology development (차세대 수자원위성 활용기술 개발을 위한 영상레이더 기반의 토양수분 및 농업적 가뭄지수 산정)

  • Seongjoon Kim;Jeehun Chung;Yonggwan Lee;Wonho Nam;Hyunhan Kwon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.5-5
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    • 2023
  • 제3차 우주개발 진흥 기본계획의 일환으로써 개발되는 차세대 중형위성 5호인 수자원위성은 수자원/수재해 감시 전용 위성으로 2025년 발사 예정이다. 수자원위성의 메인 센서인 C-band 영상레이더(Synthetic Aperture Radar, SAR)는 기상조건 및 주야 상관없이 지표면 관측이 가능한 센서로 급변하는 수재해 양상에 효과적으로 대응하기 위해 탑재된 센서이다. 본 연구사업은 차세대 수자원위성의 효과적 활용 방안 및 SAR 자료기반의 활용산출물 및 주제도 서비스를 위한 알고리즘 구조설계 및 표출시스템 시범개발을 목표로 하고 있으며, 홍수/가뭄/안전/환경모니터링을 주제로 수자원 및 원격탐사 분야의 다학제적 전문가들로 구성된 컨소시엄을 구성하여 추진하고 있다. 본 연구의 내용은 가뭄 모니터링을 위해 개발 중인 SAR 기반 토양수분과 농업적 가뭄지수 산정 알고리즘 개발 및 공간적 표출을 포함한다. 토양수분은 SAR 영상에서 지표피복별로 추출된 후방산란계수와 수문학적 개념의 융합을 통해 논/밭/산림에 대해 산정한다. 물리적 특성에 기반한 변화탐지모델을 활용해 토양수분량을 추출 후, 기계학습기법과 S C S - C N 방법에서 파생된 수문학적 개념 5일 선행강우량과 결합한 토양수분 산정 알고리즘을 개발하였다. 산정된 토양수분을 기반으로, 논 지역은 벼 재배에 따른 담수 시기를 고려한 토양의 포화/불포화상태, 밭 지역은 토양 종류에 따른 토양의 물리적 특성, 산림 지역은 수문학적 개념 및 식생지수를 활용하여 가뭄 판단 기준을 구축하고, 가뭄의 해갈 여부와 해갈되는 시점의 강우량을 산정 가능한 알고리즘을 개발하였다. 개발된 가뭄 모니터링 기법은 향후 고도화, 최적화 및 안정화를 통해 수자원위성의 핵심 활용기술로써 구현할 계획이다.

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A Study on Effect of Trans-Pacific Partnership through East Asia Trade Network (환태평양경제동반자협정이 동아시아 무역네트워크에 미치는 영향에 관한 연구)

  • Han, Neung-Ho
    • Korea Trade Review
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    • v.41 no.4
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    • pp.293-313
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    • 2016
  • In the East Asian region, the advancement of trade networks is being facilitated, which turns out that economic integration across borders is being advanced due to FTA expansion, freedom of business activity growing through the reform of regulatory system in each country, and the processing of division of labor between processes across borders. Trans-Pacific Partnership(TPP), which is a U.S. led multilateral FTA, was signed on February 4 2016 in Auckland, New Zealand by 12 countries, by which changes in the East Asia Trade Network are also expected. For this reason, this study examined the impact that TPP would have on East Asia Trade Network. According to the result of this study, it was determined that TPP, as the regulation and system which will lead globalization of the supply chain, will change Supply Chain structure and result in a positive effect on Value Chain. This will have a significant impact on the East Asian trade network, and connect to enhanced competitiveness of participating enterprises. In addition, TPP seems to be the basis for realization of FTAAP(Free Trade Area of the Asia-Pacific) in the future, Therefore, Korea who has high Degree of Dependence upon Foreign Trade will have to pay make political effort to effectively deal with this changing trading environment in East Asia.

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