• Title/Summary/Keyword: National Critical Infrastructure

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Requirements for the Advancement of the National Standard System of Korea (우리 나라 국가표준체계 현황과 선진화 방안)

  • 김동진;박찬복;서상욱
    • Journal of Korea Technology Innovation Society
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    • v.3 no.2
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    • pp.111-137
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    • 2000
  • The significant role of the national standards has ever been growing as a critical infrastructure of the national competitiveness. Strategic policies for the advancement of the national standards system in Korea are suggested based on the analysis of trends surrounding the national standards at home and abroad. National standards failing in securing international recognition of its technical competence give an adverse effect to the improvement of industry and national welfare. As a most effective way toward the advancement of the national standards system, the national metrology institute should be placed at the top of the national standards system so as to exert its influence with its technical capabilities close to international level. Efforts are to be made to secure international credibility of the national standards through faithful implementation of the requirements of the mutual recognition arrangement(MRA). And, the legal structures should be refined to be in harmony with the global environment.

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EVALUATING CRITICAL SUCCESS FACTORS FOR ACCURATE FIRST COST ESTIMATES OF LARGE-SCALE CONSTRUCTION PROJECTS

  • Jin-Lee Kim;Ok-Kyue Kim
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.354-360
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    • 2009
  • The demands for large-scale construction projects such as Mega-projects are largely increasing due to the rapid growth of increasing populations as well as the need to replace existing buildings and infrastructure. Increasing costs of materials, supplies, and labors require the first cost estimates at the preliminary planning stage to be as accurate as possible. This paper presents the results obtained from the survey on evaluating nine critical success factors that influence the accurate first cost estimates for large-scale projects from practical experiences. It then examines the current cost structures of construction companies for large-scale projects, followed by the causes for cost and schedule overrun. Twenty completed surveys were collected and the Analytic Hierarchy Process was applied to analyze the data. The results indicate that technology issues, the contract type, and social and environmental impacts are the significant leading factors for accurate first cost estimates of large-scale construction projects.

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Critical Success Factors for the Definition Phase of a Construction Program - Focused on the Yongsan Park Development Program - (대형 국책사업의 프로그램 정의단계 핵심성공요인 도출 - 용산공원 조성사업을 중심으로 -)

  • Lee, Woo-Yeon;Lee, Seung-Hoon;Hyun, Chang-Taek;Lee, SangHoon
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.1
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    • pp.54-63
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    • 2022
  • In order to derive the success factors of a Mega-scale national project, this study conducted a questionnaire survey on experts participating in the Yongsan National Park development program to obtain critical success factors in the program definition phase. AHP analysis was performed for each category through a survey of experts participating in the definition phase of the Yongsan park development program to derive relative importance. The categories were classified into program strategy, process, and people, and the importance between categories was people, strategy, and process in that order. In addition, as for the 27 critical success factors in the program definition phase, the program manager's competency and leadership, environmental and cultural property survey planning, program management plan preparation, operation and maintenance philosophy, and integrated program office showed high priorities. Therefore, in promoting the Yongsan Park development program, we propose a strategy for selecting and focusing on the critical success factors with high priorities in the program definition phase proposed in this study.

K-Trade : Data-driven Digital Trade Framework (K-Trade : 데이터 주도형 디지털 무역 프레임워크)

  • Kim, Chaemee;Loh, Woong-Kee
    • Journal of Information Technology Services
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    • v.19 no.6
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    • pp.177-189
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    • 2020
  • The OECD has assessed Korea as the third highest in trade facilitation worldwide. The paperless trade of Korea is world class based on uTradeHub : national e-trade service's infrastructure for trade community. Over 800 trade-related document standards provide interoperability of message exchange and trade process automation among exporters, importers, banks, customs, airlines, shippers, forwarders and trade authorities. Most one-to-one unit processes are perfectly paperless & online; however, from the perspective of process flow, there is a lack of streamlining end-to-end trade processes spread over many different parties. This situation causes the trade community to endure repetitive-redundant load for handling trade documents. The trade community has a strong demand for seamless trade flow. For streamlining the trade process, processes with data should flow seamlessly to multilateral parties. Flowing data with an optimized process is the critical success factor to accomplish seamless trade. This study proposes four critical digital trade infrastructures as a platform service : (1) data-centric Intelligent Document Recognition(IDR), (2) data-driven Digital Document Flow (DDF), (3) platform based Digital Collaboration & Communication(DCC), and (4) new digital Trade Facilitation Index (dTFI) for precise assessment of K-Trade Digital Trade Framework. The results of new dTFI analyses showed that redundant reentry load was reduced significantly over the whole trade and logistics process. This study leads to the belief that if put into real-world application can provide huge economic gains by building a new global value chain of the K-trade eco network. A new digital trade framework will be invaluable in promoting national soft power for enhancing global competitiveness of the trade community. It could become the advanced reference model of next trade facilitation infrastructure for developing countries.

Status and Trend of Foreign Underground Data Centers (해외 지하 데이터센터의 현황과 동향 분석)

  • Lee, Chulho;Choi, Soon-Wook;Kang, Tae-Ho;Chang, Soo-Ho
    • Tunnel and Underground Space
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    • v.29 no.1
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    • pp.52-63
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    • 2019
  • It is highly in demand to establish a bunker-type underground data center to ensure the safety of national critical data, such as financial information and medical information, and prevent those outflow of national important data. In particular, the security of a data center which is a key national structure has become a social issue due to EMP weapon and earthquakes, but data centers in the nation have not been able to deal with it properly. Therefore, it is necessary to develop an underground data center that is safe from human-induced and natural disasters while reducing power costs by utilizing the benefits of underground spaces such as constant temperature and isolation. In this analysis, the status and trends of data centers around the world were analyzed and based on those trend analyses, the research strategy for underground data center were discussed.

Semantic crack-image identification framework for steel structures using atrous convolution-based Deeplabv3+ Network

  • Ta, Quoc-Bao;Dang, Ngoc-Loi;Kim, Yoon-Chul;Kam, Hyeon-Dong;Kim, Jeong-Tae
    • Smart Structures and Systems
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    • v.30 no.1
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    • pp.17-34
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    • 2022
  • For steel structures, fatigue cracks are critical damage induced by long-term cycle loading and distortion effects. Vision-based crack detection can be a solution to ensure structural integrity and performance by continuous monitoring and non-destructive assessment. A critical issue is to distinguish cracks from other features in captured images which possibly consist of complex backgrounds such as handwritings and marks, which were made to record crack patterns and lengths during periodic visual inspections. This study presents a parametric study on image-based crack identification for orthotropic steel bridge decks using captured images with complicated backgrounds. Firstly, a framework for vision-based crack segmentation using the atrous convolution-based Deeplapv3+ network (ACDN) is designed. Secondly, features on crack images are labeled to build three databanks by consideration of objects in the backgrounds. Thirdly, evaluation metrics computed from the trained ACDN models are utilized to evaluate the effects of obstacles on crack detection results. Finally, various training parameters, including image sizes, hyper-parameters, and the number of training images, are optimized for the ACDN model of crack detection. The result demonstrated that fatigue cracks could be identified by the trained ACDN models, and the accuracy of the crack-detection result was improved by optimizing the training parameters. It enables the applicability of the vision-based technique for early detecting tiny fatigue cracks in steel structures.

The Corelation Analysis between Condition Evaluation Factors and Defect Index on the Concrete Retaining Wall (콘크리트 옹벽에 대한 상태평가 항목과 결함지수와의 상관관계 분석)

  • Seong, Joo Hyun;Byun, Yoseph;Lee, Dong Yul;Oh, Tae Keun
    • Journal of the Korean Society of Safety
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    • v.30 no.5
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    • pp.52-58
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    • 2015
  • Although lots of safety inspection and precision safety diagnosis have been conducted on concrete retaining wall, there is no comprehensive analysis on the basis of the accumulated data associated with the statistic. Especially, the concentrated management is necessary on the evaluation items that cause critical damages for the efficient performance. In this regard, this study conducted a correlation analysis between the 18 condition evaluation items and defect index for the concrete retaining wall as well as how each item affects the final defect index as much as in the manual. As a result, correlation coefficient between sliding and overturning was 0.601, which means that they have a strong correlation, and the most influential item on defect index is the condition of drainage that scored the 0.750 correlation coefficient. In addition, as a result of regression analysis, the condition of drainage with the 0.683 correlation coefficient has a strong correlation with the defect index. If the condition evaluation items are integrated or readjusted based on the results of the statistical analysis in this study, the more efficient and accurate maintenance will be possible.

Optimized Security Algorithm for IEC 61850 based Power Utility System

  • Yang, Hyo-Sik;Kim, Sang-Sig;Jang, Hyuk-Soo
    • Journal of Electrical Engineering and Technology
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    • v.7 no.3
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    • pp.443-450
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    • 2012
  • As power grids are integrated into one big umbrella (i.e., Smart Grid), communication network plays a key role in reliable and stable operation of power grids. For successful operation of smart grid, interoperability and security issues must be resolved. Security means providing network system integrity, authentication, and confidentiality service. For a cyber-attack to a power grid system, which may jeopardize the national security, vulnerability of communication infrastructure has a serious impact on the power grid network. While security aspects of power grid network have been studied much, security mechanisms are rarely adopted in power gird communication network. For security issues, strict timing requirements are defined in IEC 61850 for mission critical messages (i.e., GOOSE). In this paper, we apply security algorithms (i.e., MD-5, SHA-1, and RSA) and measure their processing time and transmission delay of secured mission critical messages. The results show the algorithms satisfying the timing requirements defined in IEC 61850 and we observer the algorithm that is optimal for secure communication of mission critical messages. Numerical analysis shows that SHA-1 is preferable for secure GOOSE message sending.

The Aggregate Production Efficiency of IT Investment: a Non-Linear Approach

  • Repkine, Alexandre
    • Proceedings of the Technology Innovation Conference
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    • 2002.02a
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    • pp.59-89
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    • 2002
  • The rapid diffusion of information and telecommunication (IT) technologies during the recent decennia produced fundamental changes in the economic activity at a global level, resulting in what became coined as the "new economy". However, empirical evidence on the contribution of IT equipment to growth and productivity is at best mixed, with the more or less consistent results on the positive link between the two relating to the United States in the 1990-s. Although the empirical literature on the link between IT investment and economic performance employs a wide variety of methodologies, the overwhelming majority of the studies appears to be employing the assumption of linearity of the IT-performance relationship and predominantly explores the direct nature thereof. In this study we relax both these assumptions and find that the indirect, or aggregate productive efficiency, effects of IT investment are as important as are the direct ones The estimated non-linear nature of the indirect relationship between IT investment intensity and productive efficiency accommodates the concepts of critical mass and complementary (infrastructure) capital offered in the literature. Our key finding is that the world economy′s average level of IT investment intensity remained below the estimated critical mass. Since in this study we developed a methodology that allows one to explicitly measure the critical mass of IT investment intensity, its individual estimation at a country or industrialsector level may help evaluate the extent to which IT investment activity has to be encouraged or discouraged.

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International Construction Joint Ventures with Developing Countries: Singapore's Case for Risk Assessment and Allocation

  • Hwang, Bon-Gang;Zhao, Xianbo;Chin, Eileen Wei Yan
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.435-439
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    • 2015
  • It is important for Singaporean companies to manage the multifaceted risks when forming international construction joint ventures (ICJVs) with developing countries. The objectives of this study are to assess the risks associated with Singaporean ICJVs with developing countries, and investigate the risk allocation preferences in these ICJVs. To fulfill these objectives, a literature review was carried out and a questionnaire survey was performed with 38 professionals. The survey results reported "political instability" as the most critical risk, and market level risks were less critical than country and project level risks. Additionally, the results showed agreement on the risk ranking between building and infrastructure ICJVs, despite significant differences in the criticalities of five risks. Furthermore, five risks were preferably allocated to host and foreign partners, respectively, while 13 risks could be shared among partners. As few studies have explored the risk allocation preferences in ICJVs, this study expands the literature. Also, the identification of the risks allows other companies to customize their own lists of critical risks, while the preferred risk allocation provides valuable information for companies from various countries that intend to form ICJVs with developing countries. Thus, this study contributes to the global body of knowledge relating to ICJVs.

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