• Title/Summary/Keyword: 네트워크 중심성 분석

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An Analysis of the Economic Effects for the Immersive Media Industry (실감미디어 산업의 경제적 파급효과 분석)

  • Lee, Kyoung-Jae;Jeong, Woo-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.7B
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    • pp.795-805
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    • 2011
  • The research on the immersive media technology is actively being done with the emergence of immersive services using immersive media, especially in the broadcasting industry and with the increased market demand for it. The industry which produces, transmits, processes and services the immersive contents is commonly called Immersive Media Industry. Immersive Media Industry has recently received attention as next-generation strategic industry with its high marketability and its high possibility of market expansion through convergence with other industry such as education, health, advertisement, travel and public service industry. As other advanccd country such as the U.S., Japan and Europe buckle down to take the innitiative in the immersive media industry, Korea government also begins to make plan to promote the immersive media industry. As above, immersive media industry is a cutting-edge convergence industry which embraces broadcasting, telecommunication and contents industry and it is rising as core growth engine industry. This article analyses the economic effects of immersive media industry through quantatitive method and evaluates the relations between the immersive media industry and the other related industries. As a result, the effect on production inducement of immersive media industry is 610.9 billion Korean Won; the effect on value-added inducement is 468.7 billion Korean Won; and it is measured that 3,258 job will be created by the immersive media industry.

A study on strategies to attract container cargoes in Incheon - with the case of container O/D analysis ­ (인천항 컨테이너 화물 유치방안에 대한 연구 -컨테이너 OD분석을 중심으로-)

  • Chung Tae-Won;Choi Sae-Kyung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2006.06b
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    • pp.289-299
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    • 2006
  • This paper aims to provide strategies to attract container cargoes for the Incheon port by analysing O/D of the container cargoes with the year-2004 export and import data from. The Korean customs service. O/D analysis was carried out with establishing optimal zones, which are defined as City, Gun, Gu(Korean administrative districts) to which the export-import service can be provided from a certain port with minimized freight(or transport) cost and stevedoring fee. For the Incheon port, 35 administrative districts including Seoul and Incheon in Kyunggi-Do and Kangwon-Do are recognized as the optimal zones, and approximately 25.50% of around 2.02-million-TEU per year of the cargoes from the woes are exported and imported through the pan. The strategies to attract container cargoes was suggested by comparing the Incheon port to supposed-competitive pons. The Busan portn(64.89%), Guangyang port(4.46%) and Pyeongtaeck port(3.35%) are supposed as the competitive pons which have a large proportion of handling the cargoes from the optimal zones. When comparing the Incheon port to these ports, The Incheon pan requires a distinctive cost strategy, providing incentives to attract shipping companies and cargoes, improving efficiency related to loading-unloading at the port, and reinforcing Feeder-Network and advertisements about cost-saving to the shippers(the owners of goods) in the national capital region. Consequently, the mentioned requirements are suggested as the strategies to attract cargoes for the Incheon port.

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Analysis of Factors Affecting Life Satisfaction of Local Residents in Urban Regeneration Projects: Focused on General Type of Neighborhood Regeneration in Seoul (도시재생사업에서 지역 주민의 삶의 만족도에 미친 영향 요인 분석: 서울시 근린재생 일반형을 중심으로)

  • Lee, Nayoung
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.4
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    • pp.425-445
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    • 2021
  • The purpose of this study is to present policy implications for future urban regeneration projects by deriving factors that affect residents' life satisfaction by region. To this end, a survey was conducted and multiple regression analysis was conducted using the Changsin/Sungin-dong, Haebangchon, and Garibong-dong regions where the general type of neighborhood regeneration project of Seoul was conducted. As a result of the analysis, it was found that life satisfaction increased when autonomy among the local governance factors in Changsin/Sungin-dong and autonomy and network in Garibong-dong increased. When examining the factors of regional regeneration capacity for each region, in terms of local identity, landscape characteristics in all three regions had a significant effect on the life satisfaction of residents. In the case of local communities, it was found that the satisfaction with life of residents increased when individual competence in Changsin/Sungin-dong and participation capacity and relationship competence in Garibong-dong increased. In terms of local assets, natural and social assets in all three regions had a significant effect on the life satisfaction of residents. Therefore, it is judged that the relationship between the influence of residents' life satisfaction in the general type of neighborhood regeneration project for neighborhood regeneration will be a meaningful data in promoting the urban regeneration project.

GenAI(Generative Artificial Intelligence) Technology Trend Analysis Using Bigkinds: ChatGPT Emergence and Startup Impact Assessment (빅카인즈를 활용한 GenAI(생성형 인공지능) 기술 동향 분석: ChatGPT 등장과 스타트업 영향 평가)

  • Lee, Hyun Ju;Sung, Chang Soo;Jeon, Byung Hoon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.4
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    • pp.65-76
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    • 2023
  • In the field of technology entrepreneurship and startups, the development of Artificial Intelligence(AI) has emerged as a key topic for business model innovation. As a result, venture firms are making various efforts centered on AI to secure competitiveness(Kim & Geum, 2023). The purpose of this study is to analyze the relationship between the development of GenAI technology and the startup ecosystem by analyzing domestic news articles to identify trends in the technology startup field. Using BIG Kinds, this study examined the changes in GenAI-related news articles, major issues, and trends in Korean news articles from 1990 to August 10, 2023, focusing on the emergence of ChatGPT before and after, and visualized the relevance through network analysis and keyword visualization. The results of the study showed that the mention of GenAI gradually increased in the articles from 2017 to 2023. In particular, OpenAI's ChatGPT service based on GPT-3.5 was highlighted as a major issue, indicating the popularization of language model-based GenAI technologies such as OpenAI's DALL-E, Google's MusicLM, and VoyagerX's Vrew. This proves the usefulness of GenAI in various fields, and since the launch of ChatGPT, Korean companies have been actively developing Korean language models. Startups such as Ritten Technologies are also utilizing GenAI to expand their scope in the technology startup field. This study confirms the connection between GenAI technology and startup entrepreneurship activities, which suggests that it can support the construction of innovative business strategies, and is expected to continue to shape the development of GenAI technology and the growth of the startup ecosystem. Further research is needed to explore international trends, the utilization of various analysis methods, and the possibility of applying GenAI in the real world. These efforts are expected to contribute to the development of GenAI technology and the growth of the startup ecosystem.

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Finding Influential Users in the SNS Using Interaction Concept : Focusing on the Blogosphere with Continuous Referencing Relationships (상호작용성에 의한 SNS 영향유저 선정에 관한 연구 : 연속적인 참조관계가 있는 블로고스피어를 중심으로)

  • Park, Hyunjung;Rho, Sangkyu
    • The Journal of Society for e-Business Studies
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    • v.17 no.4
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    • pp.69-93
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    • 2012
  • Various influence-related relationships in Social Network Services (SNS) among users, posts, and user-and-post, can be expressed using links. The current research evaluates the influence of specific users or posts by analyzing the link structure of relevant social network graphs to identify influential users. We applied the concept of mutual interactions proposed for ranking semantic web resources, rather than the voting notion of Page Rank or HITS, to blogosphere, one of the early SNS. Through many experiments with network models, where the performance and validity of each alternative approach can be analyzed, we showed the applicability and strengths of our approach. The weight tuning processes for the links of these network models enabled us to control the experiment errors form the link weight differences and compare the implementation easiness of alternatives. An additional example of how to enter the content scores of commercial or spam posts into the graph-based method is suggested on a small network model as well. This research, as a starting point of the study on identifying influential users in SNS, is distinctive from the previous researches in the following points. First, various influence-related properties that are deemed important but are disregarded, such as scraping, commenting, subscribing to RSS feeds, and trusting friends, can be considered simultaneously. Second, the framework reflects the general phenomenon where objects interacting with more influential objects increase their influence. Third, regarding the extent to which a bloggers causes other bloggers to act after him or her as the most important factor of influence, we treated sequential referencing relationships with a viewpoint from that of PageRank or HITS (Hypertext Induced Topic Selection).

Professional Baseball Viewing Culture Survey According to Corona 19 using Social Network Big Data (소셜네트워크 빅데이터를 활용한 코로나 19에 따른 프로야구 관람문화조사)

  • Kim, Gi-Tak
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.6
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    • pp.139-150
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    • 2020
  • The data processing of this study focuses on the textom and social media words about three areas: 'Corona 19 and professional baseball', 'Corona 19 and professional baseball', and 'Corona 19 and professional sports' The data was collected and refined in a web environment and then processed in batch, and the Ucinet6 program was used to visualize it. Specifically, the web environment was collected using Naver, Daum, and Google's channels, and was summarized into 30 words through expert meetings among the extracted words and used in the final study. 30 extracted words were visualized through a matrix, and a CONCOR analysis was performed to identify clusters of similarity and commonality of words. As a result of analysis, the clusters related to Corona 19 and Pro Baseball were composed of one central cluster and five peripheral clusters, and it was found that the contents related to the opening of professional baseball according to the corona 19 wave were mainly searched. The cluster related to Corona 19 and unrelated to professional baseball consisted of one central cluster and five peripheral clusters, and it was found that the keyword of the position of professional baseball related to the professional baseball game according to Corona 19 was mainly searched. Corona 19 and the cluster related to professional sports consisted of one central cluster and five peripheral clusters, and it was found that the keywords related to the start of professional sports according to the aftermath of Corona 19 were mainly searched.

An exploratory study on Social Network Services in the context of Web 2.0 period (웹 2.0 시대의 SNS(Social Network Service)에 관한 고찰)

  • Lee, Seok-Yong;Jung, Lee-Sang
    • Management & Information Systems Review
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    • v.29 no.4
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    • pp.143-167
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    • 2010
  • Diverse research topics relating to Social Network Services (SNS) such as, social affective factors in relationships among internet users, social capital value of SNS, comparing attributes why users are intending to participate in SNS, user's lifestyle and their preferences, and the exploratory seeking potential of SNS as a social capital need to be focused on. However, these researches that have been undertaken only consider facts at a particular period of the changing computing environment. In accordance with this indispensability, the integrated view on what technical, social and business characteristics and attributes need to be acknowledged. The purpose of this study is to analyze the evolving attributes and characteristics of SNS from Web 1.0 to Mobile web 2.0 through the Web 2.0 and Mobile 1.0 period. Based on the relevant literature, the attributes that drive the changing technological, social and business aspects of SNS have been developed and analyzed. This exploratory study analyzed major attributes and relationships between SNS and users by changing the paradigms which represented each period. It classified and chronicled each period by representing paradigms and deducted the attributes by considering three aspects such as technological, social and business administration. The major findings of this study are, firstly, the web based computing environment has been changed into the platform attribute for users in the aspect of technology. Users can only read, listen and view information through the web site in the early stages, but now it is possible that users can create, modify and distribute all kinds of information. Secondly, the few knowledge producers of web services have been changed into a collective intelligence by groups of people in the aspect of society. Information authority has been distributed and there is no limit to its spread. Many businesses recognized the potential of the SNS and they are considering how to utilize these advantages toward channel of promotion and marketing. Thirdly, the conventional marketing channel has been changed into oral transmission by using SNS. The market of innovative mobile technology such as smart phones, which provide convenience and access-ability toward customers, has been enlarged. New opportunities to build friendly relationship between business and customers as a new marketing chance have been created. Finally, the role of the consumer has been changed into the leading role of a prosumer. Users can create, modify and distribute information, and are performing the dual role of customer and producer.

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A Development of Curriculum for Information Security Professional Manpower Training (정보보안 전문인력 양성을 위한 교육과정 개발)

  • Lee, Moongoo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.1
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    • pp.46-52
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    • 2017
  • Social attention to information security field is inspired, and manpower demand forecast of this area is getting high. This study surveyed information security knowledge of practitioners who work in a field of information security such as computer and network system. We analyzed a connection between survey data, information protection job system that was suggested by NICE, IT skills that NCS and KISA classified and security field classification system. Base on data that analyzed, this study suggests a curriculum that trains professional manpower who perform duties in the field of information security. Suggested curriculum can be applied to 2 year college, 3 year college and 4 year college. Suggested curriculum provides courses that students who want to work in a field of information security must learn during the college. Suggested courses are closely connected to a related field and detailed guideline is indicated to each course to educate. Suggested curriculum is required, and it combines a theoretical education that become basis and a practical education so that it is not weighted to learn theory and is not only focusing on learning simple commands. This curriculum is established to educate students countermeasures of hacking and security defend that based on scenario that connected to executive ability. This curriculum helps to achieve certificates related to a field more than paper qualification. Also, we expect this curriculum helps to train convergent information security manpower for next generation.

Exploring the Educational Use of Artificial Intelligence based on R mapping - Focusing on Foreign Publication Analysis Results - (R 매핑을 이용한 인공지능의 교육적 활용 탐색 -국외 문헌 분석을 중심으로-)

  • Kim, Hyung-Uk;Mun, Seong-Yun
    • Journal of The Korean Association of Information Education
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    • v.24 no.4
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    • pp.313-325
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    • 2020
  • There is a growing interest and need for the educational use of artificial intelligence as artificial intelligence technologies such as machine learning and deep learning, the core technologies of the intelligent information society, owing to the recent innovative technological advances. Consequently, the Ministry of Education announced the First Information Education Comprehensive Plan for introducing artificial intelligence competence enhancing education into the education field in preparation for the intelligent information society based on artificial intelligence technologies. Therefore, this study collected 416 overseas papers related to the educational use of artificial intelligence from the Web of Science (WoS) in order to explore the potential for using artificial intelligence educationally. This study analyzed the research status and research topic by country, citation counts, network analysis on keywords of the collected data by using the bibliometrix package of R program. Through this, it was possible to identify the research trend on the educational use of artificial intelligence, currently being conducted in foreign countries. It is believed that it will be possible to obtain implications for the topics and directions to be studied in the information education for strengthening artificial intelligence education based on the results of this study.

Connection between Fourier of Signal Processing and Shannon of 5G SmartPhone (5G 스마트폰의 샤논과 신호처리의 푸리에의 표본화에서 만남)

  • Kim, Jeong-Su;Lee, Moon-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.6
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    • pp.69-78
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    • 2017
  • Shannon of the 5G smartphone and Fourier of the signal processing meet in the sampling theorem (2 times the highest frequency 1). In this paper, the initial Shannon Theorem finds the Shannon capacity at the point-to-point, but the 5G shows on the Relay channel that the technology has evolved into Multi Point MIMO. Fourier transforms are signal processing with fixed parameters. We analyzed the performance by proposing a 2N-1 multivariate Fourier-Jacket transform in the multimedia age. In this study, the authors tackle this signal processing complexity issue by proposing a Jacket-based fast method for reducing the precoding/decoding complexity in terms of time computation. Jacket transforms have shown to find applications in signal processing and coding theory. Jacket transforms are defined to be $n{\times}n$ matrices $A=(a_{jk})$ over a field F with the property $AA^{\dot{+}}=nl_n$, where $A^{\dot{+}}$ is the transpose matrix of the element-wise inverse of A, that is, $A^{\dot{+}}=(a^{-1}_{kj})$, which generalise Hadamard transforms and centre weighted Hadamard transforms. In particular, exploiting the Jacket transform properties, the authors propose a new eigenvalue decomposition (EVD) method with application in precoding and decoding of distributive multi-input multi-output channels in relay-based DF cooperative wireless networks in which the transmission is based on using single-symbol decodable space-time block codes. The authors show that the proposed Jacket-based method of EVD has significant reduction in its computational time as compared to the conventional-based EVD method. Performance in terms of computational time reduction is evaluated quantitatively through mathematical analysis and numerical results.