• Title/Summary/Keyword: Intellectual Network

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Development of Cyber Network Centered Career Education Program based on STEAM Education for $3^{rd}$ and $4^{th}$ Graders in Elementary School (초등학교 3-4학년을 위한 사이버 네트워크 주제의 STEAM기반 진로교육프로그램 개발)

  • Ko, Yeonghae;Park, Namje
    • Journal of The Korean Association of Information Education
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    • v.17 no.4
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    • pp.467-474
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    • 2013
  • This paper examined various study case about cyber network and STEAM education. We develop this STEAM career education of Cyber Network subject for 3rd and 4th graders in elementary school. We make this program by considering about student's intellectual level and interests. We offered this program to elementary 3rd and 4th graders in Jeju island step by step to evaluate the effectiveness of the developed program and teaching materials. Future work will include the follow-up and extended study. It will be expected that students will be able to develop their abilities of career exploration.

Performance Oriented Docket-NoC (Dt-NoC) Scheme for Fast Communication in NoC

  • Vijayaraj, M.;Balamurugan, K.
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.3
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    • pp.359-366
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    • 2016
  • Today's multi-core technology rapidly increases with more and more Intellectual Property cores on a single chip. Network-on-Chip (NoC) is an emerging communication network design for SoC. For efficient on-chip communication, routing algorithms plays an important role. This paper proposes a novel multicast routing technique entitled as Docket NoC (Dt-NoC), which eliminates the need of routing tables for faster communication. This technique reduces the latency and computing power of NoC. This work uses a CURVE restriction based algorithm to restrict few CURVES during the communication between source and destination and it prevents the network from deadlock and livelock. Performance evaluation is done by utilizing cycle accurate RTL simulator and by Cadence TSMC 18 nm technology. Experimental results show that the Dt-NoC architecture consumes power approximately 33.75% 27.65% and 24.85% less than Baseline XY, EnA, OEnA architectures respectively. Dt-NoC performs good as compared to other routing algorithms such as baseline XY, EnA, OEnA distributed architecture in terms of latency, power and throughput.

Usefulness of Network Pharmacology Analysis in Exploring Herbal Medicine Resources for the Treatment of Dementia (치매 치료를 위한 한약 자원 탐색에서 네트워크 약리학 분석법의 유용성)

  • Suin Cho
    • Journal of TMJ Balancing Medicine
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    • v.12 no.1
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    • pp.7-14
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    • 2022
  • Objectives: Dementia is a disease in which a person maintains a normal intellectual level during the growth period, but has acquired cognitive impairment and personality change. In this study, we tried to check whether the network pharmacology analysis method is useful in the search for herbal medicine resources for the treatment of dementia. Methods: The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database is a database frequently used in Chinese medicine research. We used the TCMSP to identify herbal medicines and their molecular targets that can be used for dementia by using network pharmacology research methods. Results: It was possible to select 28 types of components that are expected to be active by applying them to the living body, and 75 types of targets that these components act on were secured. In addition, 16 kinds of drugs were identified by checking the drugs containing 28 kinds of ingredients, and it was found that Radix Salviae contained 2 kinds of the selected 28 kinds of ingredients. Conclusions: Through this study, we were able to identify ingredients, drugs, and targets that can be used for basic and clinical research on dementia.

Shadow Libraries: A Bibliometric Analysis of Black Open Access Phenomenon (2011: 2023)

  • Safinaz Mahmoud Elroukh
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.21-32
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    • 2024
  • This study analyzes the global literature on the black open-access phenomenon from 2011 to 2023. A bibliometric analysis was conducted using the Scopus database. The search strategy employed advanced queries with multiple synonymous terms to ensure exhaustive retrieval of relevant documents. The VOSviewer software was employed to visualize the co-occurrence networks. The findings reported 90 papers published during the study period. An evolving scholarly landscape was revealed, with heightened attention from 2016 onwards, peaking in 2017, 2021, and 2023. Articles constitute 83.3% of the total published documents. Singh and Srichandan are prolific authors, with 11.2% of the total publications. The United States contributes 18.9% of the papers, followed by India and Spain. Information Development and Scientometrics are pivotal journals in scholarly discussions about this scope, contributing 4.4% of publications. Co-occurrence network visualization revealed "Sci-Hub" and "open access" as the most used keywords in the global literature. The findings underscore the need for additional research to discover innovative business models to safeguard intellectual property rights while meeting researchers' evolving needs. The importance of this paper comes from being the first bibliometric study analyzing international literature related to this phenomenon, which provides a basis for future research efforts and policymaking.

An Investigation on Characteristics and Intellectual Structure of Sociology by Analyzing Cited Data (사회학 분야의 연구데이터 특성과 지적구조 규명에 관한 연구)

  • Choi, Hyung Wook;Chung, EunKyung
    • Journal of the Korean Society for information Management
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    • v.34 no.3
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    • pp.109-124
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    • 2017
  • Through a wide variety of disciplines, practices on data access and re-use have been increased recently. In fact, there has been an emerging phenomenon that researchers tend to use the data sets produced by other researchers and give scholarly credit as citation. With respect to this practice, in 2012, Thomson Reuters launched Data Citation Index (DCI). With the DCI, citation to research data published by researchers are collected and analyzed in a similar way for citation to journal articles. The purpose of this study is to identify the characteristics and intellectual structure of sociology field based on research data, which is one of actively data-citing fields. To accomplish this purpose, two data sets were collected and analyzed. First, from DCI, a total of 8,365 data were collected in the field of sociology. Second, a total of 12,132 data were collected from Web of Science with a topic search with 'Sociology'. As a result of the co-word analysis of author provided-keywords for both data sets, the intellectual structure of research data-based sociology was composed of two areas and 15 clusters and that of article-based sociology was composed with three areas and 17 clusters. More importantly, medical science area was found to be actively studied in research data-based sociology and public health and psychology are identified to be central areas from data citation.

Time Series Analysis of Intellectual Structure and Research Trend Changes in the Field of Library and Information Science: 2003 to 2017 (문헌정보학 분야의 지적구조 및 연구 동향 변화에 대한 시계열 분석: 2003년부터 2017년까지)

  • Choi, Hyung Wook;Choi, Ye-Jin;Nam, So-Yeon
    • Journal of the Korean Society for information Management
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    • v.35 no.2
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    • pp.89-114
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    • 2018
  • Research on changes in research trends in academic disciplines is a method that enables observation of not only the detailed research subject and structure of the field but also the state of change in the flow of time. Therefore, in this study, in order to observe the changes of research trend in library and information science field in Korea, co-word analysis was conducted with Korean author keywords from three types of journals which were listed in the Korea Citation Index(KCI) and have top citation impact factor were selected. For the time series analysis, the 15-year research period was accumulated in 5-years units, and divided into 2003~2007, 2003~2012, and 2003~2017. The keywords which limited to the frequency of appearance 10 or more, respectively, were analyzed and visualized. As a result of the analysis, during the period from 2003 to 2007, the intellectual structure composed with 25 keywords and 8 areas was confirmed, and during the period from 2003 to 2012, the structure composed by 3 areas 17 sub-areas with 76 keywords was confirmed. Also, the intellectual structure during the period from 2003 to 2017 was crowded into 6 areas 32 consisting of a total of 132 keywords. As a result of comprehensive period analysis, in the field of library and information science in Korea, over the past 15 years, new keywords have been added for each period, and detailed topics have also been subdivided and gradually segmented and expanded.

Identification of resources and competences for value co-creation in the relationship network of high-tech B2B firm (첨단 기술 기반 B2B 회사의 관계 네트워크에서의 공동 가치 창출을 위한 자원 및 역량 도출)

  • Park, Changhyun;Lee, Heesang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.7
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    • pp.4191-4197
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    • 2014
  • Value co-creation is an important business strategy these days in both the business-to-business (B2B) and business-to-consumer (B2C) markets. The aim of this study was to identify specialized resources and competences for value co-creation in the relationship network within a high-tech B2B market. A case of Taiwan Semiconductor Manufacturing Company Limited (TSMC) with customers and partners was chosen as the study case. Based on the observations, contents analysis of the secondary data and unstructured interviews with former TSMC employees, 4 critical resource types (financial, knowledge, efficiency and intellectual resource) and 6 competence types (relational, collaboration, strategic, innovation, managing and service capability), were performed as the principal factors for value co-creation in the relationship network. A research framework that can analyze the value co-creation phenomena in the relationship network was established.

A Study on the Research Trends in International Trade using Social Network Analysis (사회연결망 분석을 활용한 무역 분야 연구동향 분석)

  • Lee, Jee-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.465-476
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    • 2020
  • This study used social network analysis to analyze trends and the knowledge structure of research in international trade. To this end, 4,840 keywords were extracted and analyzed from 1,797 papers contained in the Journal of Int'l Trade and Industry Studies, the Korea Trade Review, and the Journal of Korea Trade from 2003 to 2019. The results reveal that the distribution of keywords in the trade studies, as with other intellectual networks, followed a power-law distribution. Some differences were observed in the top 20 keywords across journals, with total factor productivity, economic growth, and Korea-US FTA ranking high only in the Journal of Int'l Trade and Industry Studies. Global value chain and trust emerged as a topic that attracted new researchers' attention in the 2011-2019 period. Interest in E-Trade, WTO, and internationalization has declined in recent years. The conventional international trade research trend analyses have predominantly featured qualitative analysis by descriptive method in general, but this study is meaningful in that it employs quantitative analysis using social network analysis techniques.

QoS-Guaranteed Realtime Multimedia Service Provisioning on Broadband Convergence Network(BcN) with IEEE 802.11e Wireless LAN and Fast/Gigabit Ethernet

  • Kim, Young-Tak;Jung, Young-Chul;Kim, Seong-Woo
    • Journal of Communications and Networks
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    • v.9 no.4
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    • pp.511-523
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    • 2007
  • In broadband convergence network(BcN), heterogeneous broadband wired & wireless subnetworks and various terminal equipments will be interconnected. In order to provide end-to-end realtime multimedia services on such heterogeneous networking environment, as a result, two major problems should be resolved: i) Multimedia session establishment & negotiation that adjusts the differences in the capability of multimedia data processing at the end terminal nodes, ii) quality of service(QoS)-guaranteed connection establishment or resource reservation with connection admission control(CAC) in each heterogeneous subnetworks along the path. The session layer signaling(e.g., SIP/SDP) should be extended for QoS negotiation, and must be tightly cooperating with network layer signaling or resource reservation with CAC function. In this paper we propose a session and connection management architecture for the QoS-guaranteed realtime multimedia service provisioning on BcN, with Q-SIP/SDP, resource reservation protocol with traffic engineering extension, and CAC functions. The detailed interaction scenario and related algorithms for QoS-guaranteed realtime multimedia session, resource reservation and connection establishment are explained and analyzed. From the experimental implementation of the proposed scheme on a small scale BcN testbed, we verified that the proposed architecture is applicable for the realtime multimedia service provisioning. We analyze the network performance and QoS parameters in detail.

Microplastics Intellectual Network Analysis based on Bigdata (빅데이터 기반한 미세플라스틱 지적네트워크 분석)

  • Kim, Younghee;Chang, Kwanjong
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.239-259
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    • 2022
  • Since 2019, research on microplastics has been actively conducted around the world, so analyzing the differences between domestic and foreign microplastics research can be a milestone in establishing the direction of domestic research. In this study, microplastic papers from KCI and WoS were extracted and the differences between domestic and foreign studies were analyzed using a network analysis methodology based on big data such as author keyword co-occurrence word analysis, thesis co-citation analysis, and author co-citation analysis. As a result of the analysis, the analysis of the research topic confirmed that studies that could affect the human body and the treatment of microplastics in daily life were additionally needed in Korea. In the analysis of the depth of thesis citation that examines the quality of research, it was found that Korea was still insufficient at 2.25 overseas and 1.39 in Korea. In the analysis of the composition of the joint research front, where various researchers participate and share information, 3 out of 22 clusters in Korea are Star type. In the case of overseas, all 19 clusters have a mesh structure, so it was confirmed that information flow and sharing were insufficient in specific research fields in Korea. These research results confirmed the need to expand the research topic of microplastics, improve the quality of research, and improve the research promotion system in which various researchers participate. In addition, if the automation program is developed based on topic modeling, it will be possible to build a system capable of real-time analysis.