• Title/Summary/Keyword: S&T infrastructure

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Design Methodology of Integrated Architecture for S&T Knowledge Infrastructure (과학기술 지식인프라 통합 아키텍처 설계방법론)

  • Kang, Yun-hee;Kim, Young-chul
    • Journal of Platform Technology
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    • v.6 no.3
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    • pp.31-37
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    • 2018
  • Recently, the platforms for open science are being developed for helping researchers and scientists who are interested in convergence studies. This paper is focused on deriving a design method for an integrated architecture for knowledge infrastructure in science and technology and to set up the integration level of details and association between data and services in the integrated architecture. To facilitate the open science in research lifecycle, reconstructing individual services into modular and independent function blocks needs to be reusable and interoperable. The proposed design methodology is used for manipulating a service integration for the convergence service of S&T(Science and Technology) knowledge infrastructure. It can support to seamlessly access computing resources and the research results including artifacts digitally enabled scholars, researchers, and engineers participating in multidisciplinary collaborations.

An Assessment of ICT Infrastructure, Deployment and Applications in the Science and Technology (S&T) Research Institutions in Ghana

  • Kwafoa, Paulina Nana Yaa;Entsua-Mensah, Clement
    • International Journal of Knowledge Content Development & Technology
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    • v.11 no.1
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    • pp.29-48
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    • 2021
  • The paper discusses the ICT infrastructure as far as the availability of (computers, local or wide area networks, Internet connectivity and its reliability, size of the bandwidth and its optimization, etc.) in the S&T research institution. It also examined the profile of the research scientists and looked at the type of ICT infrastructure that is available for their use as well as the reliability of the Internet connectivity within these research institutions. It looked at the broadband capacities of the research institutions and the ICT capabilities in respect of the technical and managerial support back-up that are available to the research institutions. The study used the survey research method with a questionnaire as well as personal observation to gather the data. From the data gathered, it was realized that the internet connectivity and the size of the bandwidth that the R&D institutions subscribed to differed significantly. Again, the extent to which the research scientists were able to access the internet in their respective institutions depended on the quality of the local network in place. Generally, the investments in ICT were made for different management objectives, and these were meant to facilitate the generation of new knowledge as well as make measurable improvements in R&D activities.

Technical Trends of Computing Infrastructure for Agent Based Modeling & Simulation (에이전트 기반 모델링 및 시뮬레이션을 위한 컴퓨팅 인프라 기술 동향)

  • Jung, Y.W.;Son, S.;Oh, B.T.;Lee, G.C.;Bae, S.J.;Kim, B.S.;Kang, D.J.;Jung, Y.J.
    • Electronics and Telecommunications Trends
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    • v.33 no.5
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    • pp.111-120
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    • 2018
  • Agent-based modeling and simulation (ABMS) is a computational method for analyzing research targets through observations of agent-to-agent interactions, and can be applied to multidimensional policy experiments in various fields of social sciences to support policy and decision making. Recently, according to increasing complexity of society and the rapid growth of collected data, the need for high-speed processing is considered to be more important in this field. For this reason, in the ABMS research field, a scalable and large-scale computing infrastructure is becoming an essential element, and cloud computing has been considered a promising infrastructure of ABMS. This paper surveys the technology trends of ABMS tools, cloud computing-based modeling, and simulation studies, and forecasts the use of cloud-computing infrastructure for future modeling and simulation tools. Although fundamental studies are underway to apply and operate cloud computing in the areas of modeling and simulation, new and additional studies are required to devise an optimal cloud computing infrastructure to satisfy the needs of large-scale ABMS.

A study on the availability of IP Telephony Network (KOREN망을 통한 IP전화망의 가용성에 관한 연구)

  • Cho, Sok-Pal
    • The Journal of Information Technology
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    • v.12 no.1
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    • pp.21-27
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    • 2009
  • Telecommunications infrastructure based on circuit switch network is rswidly migrating to "all IP" network. However migration to IP has betw slower thaw in mawy other ve "icals because the potis ial risks and adve se impact of se vice impedi is s that may result from a migration ofttw outweigh the btwefi s of IP network. IP Telephony network has several strattgy for the replace is rof the existing Privatto nranch Exchangt, the construction of new IP networks cswible of suwoo "ing multiple communication se vices and applications, includirattgytelephony and the t ofgration of the remainiratexisting Privatto nranch Exchangts t oo new IP tfor the repfrastructure. ThTele "icle suggts s the IP tfor the network infrastructure for migration.

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A study on the Enhancement of Transshipment Competitiveness of Busan Port by Analyzing Factors Affecting Transshipment Competitiveness

  • Park, Ho-Chul
    • Journal of Navigation and Port Research
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    • v.45 no.5
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    • pp.238-251
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    • 2021
  • It is understood that carriers evaluate several features of ports when fixing the T/S port. Those features can be enumerated as Geographic condition of port, Service network with overseas ports, Level of port productivity, Port infrastructure, Port services level, Port Authority's Policy direction mand Cost competitiveness. The objectives of this study are to: 1) determine if those factors could affect the T/S competitiveness of the port; and 2) to evaluate how Busan port conforms to those determinants factors in such extent. According to results of the analysis after surveying National global carrier, Intra-Asia carriers, Global overseas carriers, Terminal operators, and Busan Port Authority known to be highly influential samples, all factors were proven to be factors affecting the T/S competitiveness of the port. Meanwhile, in the analysis through AHP (Analytic Hierarchy Process) methodology about the order of weight among those factors, Cost competitiveness was answered as the most important factor. On the other hand, in the analysis to find the situation if Busan port conforms to those factors, Busan port was proven to satisfy those conditions to a moderate extent. In the analysis about the order of strength among those factors, Busan port was answered to have the highest strength in the geographic condition. However, it showed the bottom level of strength in the Cost competitiveness which was answered as the most important factor among samples for determining the T/S competitiveness of the port. This indicates that Government and Port Authority of Busan have to concentrate policy capabilities on the improvement of cost competitiveness of Busan port to enhance the T/S competitiveness. In this paper, four policy recommendations are given : Integration of Busan port operation into New port, Combining multiple operators into one or a few, Attracting Global mega carriers as the New port terminal operators, and Continuous Infrastructure expansion.

Predictive maintenance architecture development for nuclear infrastructure using machine learning

  • Gohel, Hardik A.;Upadhyay, Himanshu;Lagos, Leonel;Cooper, Kevin;Sanzetenea, Andrew
    • Nuclear Engineering and Technology
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    • v.52 no.7
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    • pp.1436-1442
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    • 2020
  • Nuclear infrastructure systems play an important role in national security. The functions and missions of nuclear infrastructure systems are vital to government, businesses, society and citizen's lives. It is crucial to design nuclear infrastructure for scalability, reliability and robustness. To do this, we can use machine learning, which is a state of the art technology used in various fields ranging from voice recognition, Internet of Things (IoT) device management and autonomous vehicles. In this paper, we propose to design and develop a machine learning algorithm to perform predictive maintenance of nuclear infrastructure. Support vector machine and logistic regression algorithms will be used to perform the prediction. These machine learning techniques have been used to explore and compare rare events that could occur in nuclear infrastructure. As per our literature review, support vector machines provide better performance metrics. In this paper, we have performed parameter optimization for both algorithms mentioned. Existing research has been done in conditions with a great volume of data, but this paper presents a novel approach to correlate nuclear infrastructure data samples where the density of probability is very low. This paper also identifies the respective motivations and distinguishes between benefits and drawbacks of the selected machine learning algorithms.

Studies on Sustainable Policies of European Intermodal Transport System

  • Kim, Jin-Hwan
    • Journal of Distribution Science
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    • v.9 no.2
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    • pp.25-30
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    • 2011
  • Transport is animportant sector of government regulation. Every country has its own transport policy, but European countries are evolving a common transport policy, which has a long history. The establishment of a consistent common policy in the EU's transport sector is still underway. The key motivations of this policy are 1) to establish and implement a common transport policy, 2) to clarify the concept of sustainability in the transport sector, and 3) to integrate transport services into a common infrastructure. One of the policy's objectives is the progressive movement towards sustainable development in the transport section. The EU'stransport policy has recognised that intermodality is a very important competitive tool. The EU's policy thrustin intermodal transport can be catergorised into infrastructure, technology, and standards and rules. However, obstacles to success can be detected. Cases like that of TEN-T and Marco Polo illustrate European intermodal policies in practice. As regards sustainability in the transport sector, intermodality can be an alternative solution to the increasing imbalance between transport modes and congestion arising from increased road use. Sustainability has been emphasised by the EU, which aims to establish intermodality in its future alternative transport systems while fostering sustainable development in the transport sector. Therefore, intermodality can be defined as a general trend in the current transport market, drawing interest from public institutions and transport-related market players. The EU has thus made an effort to facilitate intermodality in its territory, materialised through various policy options. Therefore, looking into the EU's intermodal transport policies is worthwhile, as doing so can provide useful lessons for all concerned parties.

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Evolution and Features of Korea's Science & Technology Policy Coordination System

  • Seong, Jieun
    • STI Policy Review
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    • v.2 no.1
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    • pp.1-12
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    • 2011
  • Korea is examining how to coordinate its S&T policies and solidify its position as a leader of infrastructure innovation policy that forms the foundation for many different policies. A number of questions have been raised, such as whether to install a superior coordinating body like the National Science and Technology Council (NSTC) or separate the budget allocation and coordination authority from the budget-planning ministry. Korea has tried using various institutional coordination devices and functions such as reorganizing its administrative ministries based on related functions and installing or reinforcing a superior coordinating body. In line with these discussions, the strengthening of the S&T policy coordination function through the NSTC is currently under review. In order to design an effective S&T coordination system in step with changing political and social demands, it is important to have a clear recognition of the current context as well as the unique institutional characteristics of Korea. This study examines the evolution of Korea's S&T policy coordination systems and analyzes its features.

The Technique of Reference-based Journal Recommendation Using Information of Digital Journal Subscriptions and Usage Logs (전자 저널 구독 정보 및 웹 이용 로그를 활용한 참고문헌 기반 저널 추천 기법)

  • Lee, Hae-sung;Kim, Soon-young;Kim, Jay-hoon;Kim, Jeong-hwan
    • Journal of Internet Computing and Services
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    • v.17 no.5
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    • pp.75-87
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    • 2016
  • With the exploration of digital academic information, it is certainly required to develop more effective academic contents recommender system in order to accommodate increasing needs for accessing more personalized academic contents. Considering historical usage data, the academic content recommender system recommends personalized academic contents which corresponds with each user's preference. So, the academic content recommender system effectively increases not only the accessibility but also usability of digital academic contents. In this paper, we propose the new journal recommendation technique based on information of journal subscription and web usage logs in order to properly recommend more personalized academic contents. Our proposed recommendation method predicts user's preference with the institution similarity, the journal similarity and journal importance based on citation relationship data of references and finally compose institute-oriented recommendations. Also, we develop a recommender system prototype. Our developed recommender system efficiently collects usage logs from distributed web sites and processes collected data which are proper to be used in proposed recommender technique. We conduct compare performance analysis between existing recommender techniques. Through the performance analysis, we know that our proposed technique is superior to existing recommender methods.

Numerical and experimental analysis on the axial compression performance of T-shaped concrete-filled thin-walled steel

  • Xuetao Lyu;Weiwei Wang;Huan Li;Jiehong Li;Yang Yu
    • Steel and Composite Structures
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    • v.50 no.4
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    • pp.383-401
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    • 2024
  • The research comprehensively studies the axial compression performance of T-shaped concrete-filled thin-walled steel tubular (CTST) long columns after fire exposure. Initially, a series of tests investigate the effects of heating time, load eccentricity, and stiffeners on the column's performance. Furthermore, Finite Element (FE) analysis is employed to establish temperature and mechanical field models for the T-shaped CTST long column with stiffeners after fire exposure, using carefully determined key parameters such as thermal parameters, constitutive relations, and contact models. In addition, a parametric analysis based on the numerical models is conducted to explore the effects of heating time, section diameter, material strength, and steel ratio on the axial compressive bearing capacity, bending bearing capacity under normal temperature, as well as residual bearing capacity after fire exposure. The results reveal that the maximum lateral deformation occurs near the middle of the span, with bending increasing as heating time and eccentricity rise. Despite a decrease in axial compressive load and bending capacity after fire exposure, the columns still exhibit desirable bearing capacity and deformability. Moreover, the obtained FE results align closely with experimental findings, validating the reliability of the developed numerical models. Additionally, this study proposes a simplified design method to calculate these mechanical property parameters, satisfying the ISO-834 standard. The relative errors between the proposed simplified formulas and FE models remain within 10%, indicating their capability to provide a theoretical reference for practical engineering applications.