• Title/Summary/Keyword: 네트워크적 영역성

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Research Trend Analysis Using Bibliographic Information and Citations of Cloud Computing Articles: Application of Social Network Analysis (클라우드 컴퓨팅 관련 논문의 서지정보 및 인용정보를 활용한 연구 동향 분석: 사회 네트워크 분석의 활용)

  • Kim, Dongsung;Kim, Jongwoo
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.195-211
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    • 2014
  • Cloud computing services provide IT resources as services on demand. This is considered a key concept, which will lead a shift from an ownership-based paradigm to a new pay-for-use paradigm, which can reduce the fixed cost for IT resources, and improve flexibility and scalability. As IT services, cloud services have evolved from early similar computing concepts such as network computing, utility computing, server-based computing, and grid computing. So research into cloud computing is highly related to and combined with various relevant computing research areas. To seek promising research issues and topics in cloud computing, it is necessary to understand the research trends in cloud computing more comprehensively. In this study, we collect bibliographic information and citation information for cloud computing related research papers published in major international journals from 1994 to 2012, and analyzes macroscopic trends and network changes to citation relationships among papers and the co-occurrence relationships of key words by utilizing social network analysis measures. Through the analysis, we can identify the relationships and connections among research topics in cloud computing related areas, and highlight new potential research topics. In addition, we visualize dynamic changes of research topics relating to cloud computing using a proposed cloud computing "research trend map." A research trend map visualizes positions of research topics in two-dimensional space. Frequencies of key words (X-axis) and the rates of increase in the degree centrality of key words (Y-axis) are used as the two dimensions of the research trend map. Based on the values of the two dimensions, the two dimensional space of a research map is divided into four areas: maturation, growth, promising, and decline. An area with high keyword frequency, but low rates of increase of degree centrality is defined as a mature technology area; the area where both keyword frequency and the increase rate of degree centrality are high is defined as a growth technology area; the area where the keyword frequency is low, but the rate of increase in the degree centrality is high is defined as a promising technology area; and the area where both keyword frequency and the rate of degree centrality are low is defined as a declining technology area. Based on this method, cloud computing research trend maps make it possible to easily grasp the main research trends in cloud computing, and to explain the evolution of research topics. According to the results of an analysis of citation relationships, research papers on security, distributed processing, and optical networking for cloud computing are on the top based on the page-rank measure. From the analysis of key words in research papers, cloud computing and grid computing showed high centrality in 2009, and key words dealing with main elemental technologies such as data outsourcing, error detection methods, and infrastructure construction showed high centrality in 2010~2011. In 2012, security, virtualization, and resource management showed high centrality. Moreover, it was found that the interest in the technical issues of cloud computing increases gradually. From annual cloud computing research trend maps, it was verified that security is located in the promising area, virtualization has moved from the promising area to the growth area, and grid computing and distributed system has moved to the declining area. The study results indicate that distributed systems and grid computing received a lot of attention as similar computing paradigms in the early stage of cloud computing research. The early stage of cloud computing was a period focused on understanding and investigating cloud computing as an emergent technology, linking to relevant established computing concepts. After the early stage, security and virtualization technologies became main issues in cloud computing, which is reflected in the movement of security and virtualization technologies from the promising area to the growth area in the cloud computing research trend maps. Moreover, this study revealed that current research in cloud computing has rapidly transferred from a focus on technical issues to for a focus on application issues, such as SLAs (Service Level Agreements).

Scale Development of Family Strength for Dual-Earner Families with Children (자녀가 있는 맞벌이가정의 건강성 척도 개발 연구)

  • Song, Hyerim;Koh, Sun-Kang;Kang, Eunju
    • Journal of Family Resource Management and Policy Review
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    • v.27 no.3
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    • pp.1-19
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    • 2023
  • This study aims to develop a family strength scale for dual-earner families with young children. Based on existing theories of family strength and a review of related literature, we draw on 80 items to measure the strength of dual-earner families. Using a sample of 747 people, all members of dual-earner families with young children, we examined the items' factor structures. Using the statistical method, we checked the validity and reliability of these items. The final scale consisted of four domains with a total of 49 items : basic foundation (basic structure, economic life, and resource management), parenting, social interest and participation (citizenship, volunteer, leisure, network), work-life balance (balance between work and family, sharing the family role, equal division of role). The developed scale can be used in the field, such as in the Healthy Family Support Center or Family Center, in the context of education, counseling, or consulting for dual-earner families. In order to enhance the usefulness and efficiency of the scale, the adequate education system for the professionals who handle this scale in the field and updated data are required.

Welfare Activation Strategy for a Urban Park Users (도시공원 이용자들을 위한 공원복지 활성화전략 -부산도시공원 이용자를 중심으로-)

  • Kim, Kyo-Jung
    • The Journal of the Korea Contents Association
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    • v.12 no.10
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    • pp.195-204
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    • 2012
  • The purpose of this study is to suggest the improvement plan for the welfare in the park through the empirical test on the park facilities, which are the hardware, and the service contents, which are the software, in the urban parks of Busan. Therefore, to identify the welfare of the parks in Busan, this study took 7 urban parks as samples according to the plate method of experts, and conducted the questionnaire survey from 1,500 persons using these parks. The IPA analysis results on the importance and the satisfaction of the users on the form of use, facilities and the contents of the park are as follows. First, the convenient facilities, which are the hardware of the park, are represented as a intensive management item. Second, the importance and the satisfaction for all the facilities and the contents of each park are significant differences. according to the location of each park and the characteristics of each principal park users. Such results mean that the Busan urban park operation does not satisfy the expectation of the park users for the welfare facilities in the parks. Therefore, it implies that to activate the urban parks and to improve the quality of life than the present, the aceessibility of the local residents to the information should be reinforced through the development of contents to reflect the region and the desires of the users and through building and managing the homepage of the urban parks.

A Study on the Relationship between Community Cohesion and Community Participation for the Foundation of Community Welfare Planning (지역사회복지계획의 기반조성을 위한 지역사회응집력과 지역사회참여의 관계에 관한 연구)

  • Kang, Dae-Sun;Ryu, Ki-Hyung
    • Korean Journal of Social Welfare
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    • v.59 no.1
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    • pp.27-53
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    • 2007
  • Until now, the strategies for increasing community participation has been focusing on the administrative legal institutionalization, but these have not brought substantive effects. So, the need of strategies utilizing the community culture which was formed by the residents and community has been issued on recently. The purpose of this study is to explore the strategies utilizing the community culture. So, it was identified the socio-demographic variables affected the community cohesion (community social networks, community solidarity, place-attachment), that is called community spirit and culture. And through path analysis, it was analyzed the relationship among residents' socio-demographic background, community cohesion, and community participation. The findings are as follows. : the community cohesion's three elements altogether affected positively to the community participation. When regarding the residents characteristics, the strategies for increasing the participation relating to community solidarity was most relevant. the socio-demographics affecting to community solidarity are gender, age, the beneficiary, religion, job type, household income, the length of residence. the women was low at level of participation. The most important variables affecting the community cohesion are the age, the residence duration. Based on these results, the relevant strategies or approaches for increasing community participation are as follows. : using and sharing of the aged's community knowledge, making the long term living and final settlement of community residents, increasing and creating the income for the low-income residents, increasing of religious organization and its members' responsibility to community, and the purposeful extension and relevancy of women's participation. Ultimately, this study is to contribute to fomulate the residents- cultural asset driven's community welfare planning.

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A Study on Developing Policy Indicators of Personal Information Protection for Expanding Secure Internet of Things Service (안전한 사물인터넷 서비스 확산을 위한 개인정보보호정책평가지표 개발에 관한 연구)

  • Shin, Young-Jin
    • Informatization Policy
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    • v.25 no.3
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    • pp.29-51
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    • 2018
  • As the core technology of the Fourth Industrial Revolution, the Internet of Things has been developed and has enabled various services, and personal information has been handled freely in the process. However, the infringement threat of personal information is increasing as more convenient services are provided and more information devices including smart devices are connected to the network. Therefore, this study is to analyze prioritizing personal information protection policy indicators in order to provide IoT services by constructing secure environment for implementing the Internet of things as the core technology of the 4th Industrial Revolution. This study reviewed personal information protection policy indicators based on the literature survey, and identified 3 fields, 9 areas, and 25 indicators through Delphi analysis for experts. The weights were calculated based on the AHP survey for 66 experts and the results were used to present the relative importance and priority of the policy indexes. The results of this study found the policy field was the most important, followed by the technical field, and the administrative field. Of the three areas of the policy field, strengthening the personal information protection laws related to IoT is the most important, while among the indicators, promoting and revising the personal information protection law related to IoT is the most important. Comparisons of the fields, areas, and indicators of IoT-related personal information protection policies found consistent values. The personal information protection policy indicators derived this way will contribute to the nation's competitiveness by expanding secure IoT policies in the future.

A Systematic Review of Trends of Domestic Digital Curation Research (체계적 문헌고찰을 통한 국내 디지털 큐레이션 연구동향 분석)

  • Minseok Park;Jisue Lee
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.2
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    • pp.41-63
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    • 2024
  • This study investigated research trends in digital curation indexed in a prominent domestic academic information database. A systematic literature review was conducted on 39 academic papers published from 2009 to 2023. The review examined indexing status according to publication year, venue, academic discipline, research area distribution, research affiliation and occupation, and research types. In addition, network centrality analysis and cohesive group analysis were performed on 69 author keywords. The findings revealed several key points. First, digital curation research peaked in 2015 and 2016 with 5 publications each year, followed by a slight decrease, and then consistently produced 4 or more publications annually since 2019. Second, among the 39 studies, 25 were conducted in interdisciplinary fields, including library and information science, while 11 were in the humanities, such as miscellaneous humanities. The most prominent research areas were theoretical and infrastructural aspects, information management and services, and institutional domains. Third, digital curation research was predominantly led by university-affiliated professors and researchers, with collaborative research more prevalent than solo research. Lastly, analysis of author keywords revealed that "digital curation," "institution," and "content" were the most influential central keywords within the overall network.

Design of the Node Decision Scheme for Processing Queries on Sensor Network Environments (센서 네트워크 환경에서 질의 처리를 위한 노드 선정 기법의 설계)

  • Kim, Dong Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.10
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    • pp.2224-2229
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    • 2012
  • Since sensor data are inserted into a data set continuously, continuous queries should be evaluated for searching data. To processing the continuous queries, it is required to build a query index on each sensor node and to transmit result data appropriate for query predicates. However, if query predicates are transferred to all sensor nodes, massive messages are required. In this paper, we propose the node decision scheme using the sensor node decision tree in order to diminish messages. The entry of a leaf node in the node decision tree represents a sensor node and defines the data region of the sensor node. When a user query is issued, sensor nodes are decided by intersecting between data regions of the tree with the query predicates of the user query, and then the query predicates are transmitted to the selected sensor nodes. We also implement the proposed sensor node decision tree and evaluate the experiments for the tree.

The Study on Data Governance Research Trends Based on Text Mining: Based on the publication of Korean academic journals from 2009 to 2021 (텍스트 마이닝을 활용한 데이터 거버넌스 연구 동향 분석: 2009년~2021년 국내 학술지 논문을 중심으로)

  • Jeong, Sun-Kyeong
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.133-145
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    • 2022
  • As a result of the study, the poorest keywords were information, big data, management, policy, government, law, and smart. In addition, as a result of network analysis, related research was being conducted on topics such as data industry policy, data governance performance, defense, governance, and data public. The four topics derived through topic modeling were "DG policy," "DG platform," "DG in laws," and "DG implementation," of which research related to "DG platform" showed an increasing trend, and "DG implementation" tended to shrink. This study comprehensively summarized data governance-related studies. Data governance needs to expand research areas from various perspectives and related fields such as data management and data integration policies at the organizational level, and related technologies. In the future, we can expand the analysis targets for overseas data governance and expect follow-up studies on research directions and policy directions in industries that require data-based future industries such as Industry 4.0, artificial intelligence, and Metaverse.

Server State-Based Weighted Load Balancing Techniques in SDN Environments (SDN 환경에서 서버 상태 기반 가중치 부하분산 기법)

  • Kyoung-Han, Lee;Tea-Wook, Kwon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1039-1046
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    • 2022
  • After the COVID-19 pandemic, the spread of the untact culture and the Fourth Industrial Revolution, which generates various types of data, generated so much data that it was not compared to before. This led to higher data throughput, revealing little by little the limitations of the existing network system centered on vendors and hardware. Recently, SDN technology centered on users and software that can overcome these limitations is attracting attention. In addition, SDN-based load balancing techniques are expected to increase efficiency in the load balancing area of the server cluster in the data center, which generates and processes vast and diverse data. Unlike existing SDN load distribution studies, this paper proposes a load distribution technique in which a controller checks the state of a server according to the occurrence of an event rather than periodic confirmation through a monitoring technique and allocates a user's request by weighting it according to a load ratio. As a result of the desired experiment, the proposed technique showed a better equal load balancing effect than the comparison technique, so it is expected to be more effective in a server cluster in a large and packet-flowing data center.

A study on the research scheme and the education of e-trade marketing in Korea (전자무역 해외마케팅 교육과 연구체계 수립에 관한 연구)

  • Kang, Hyo-Won
    • International Commerce and Information Review
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    • v.15 no.3
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    • pp.411-430
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    • 2013
  • Overseas marketing before the conclusion of a contract is a huge obstacle to enter the global market because it has needed the company's maximum capacities which are some cost, time and human resources. Thus it required a reestablishment about the education fields and research schemes. Due to the advancements in ICT and internet, a subject of e-trade is becoming a critical issue with a subject of a practice of international trade. However, since the mid-2000s, e-trade research articles and educational materials such as textbooks, research papers are being gradually reduced. Therefore the purpose of this study, from an oversea marketing point of view among the various e-trade fields, is to measure an education performance and an academic research scheme. And this study will suggest direction of improvement about research scheme and educational performance in the overseas marketing. According to the result, to establish the education and research scheme about SEM(Search Engine Marketing), SEO(Search Engine Optimization) and SNA(Social Network Analysis) which are introduced in the industry among the education and research field related the e-trade is urgent. And some subjects need a capstone-design reconcile theory and practice.

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