• Title/Summary/Keyword: cloud funding

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Awareness and Use of Cloud Computing Services and Technologies by Librarians in Selected Universities in Edo State

  • Aiyebelehin, Afebuameh James;Makinde, Bosede;Odiachi, Rosemary;Mbakwe, Cynthia Chiamaka
    • International Journal of Knowledge Content Development & Technology
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    • v.10 no.3
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    • pp.7-20
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    • 2020
  • This study examined the awareness and use of cloud computing services by librarians in selected universities in Edo State. A descriptive survey research design was employed and the instrument used was questionnaire. The population of the study was 132 professional and Para-professional librarians. The total enumeration technique was used to select the entire population because the size was manageable. Simple percentage, frequency count, and mean were used to analyze the data collected. From the analysis of data gathered, it was found that the librarians are aware of the use of OCLC, world cat, and Google docs to a very high extent. It was found that the librarians used cloud computing services and technologies for collection development functions and cataloging. Based on the findings it was recommended that management of the libraries should support librarians by providing adequate funding to the library in order to support the acquisition and maintenance of infrastructure for cloud computing.

AI Smart Factory Model for Integrated Management of Packaging Container Production Process

  • Kim, Chigon;Park, Deawoo
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.148-154
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    • 2021
  • We propose the AI Smart Factory Model for integrated management of production processes in this paper .It is an integrated platform system for the production of food packaging containers, consisting of a platform system for the main producer, one or more production partner platform systems, and one or more raw material partner platform systems while each subsystem of the three systems consists of an integrated storage server platform that can be expanded infinitely with flexible systems that can extend client PCs and main servers according to size and integrated management of overall raw materials and production-related information. The hardware collects production site information in real time by using various equipment such as PLCs, on-site PCs, barcode printers, and wireless APs at the production site. MES and e-SCM data are stored in the cloud database server to ensure security and high availability of data, and accumulated as big data. It was built based on the project focused on dissemination and diffusion of the smart factory construction, advancement, and easy maintenance system promoted by the Ministry of SMEs and Startups to enhance the competitiveness of small and medium-sized enterprises (SMEs) manufacturing sites while we plan to propose this model in the paper to state funding projects for SMEs.

A Study on IT Network Policy Directions : Focusing on Network Neutrality versus Network Efficiency (IT Network 정책방향에 대한 연구 : 망(網) 중립성과 효율성을 중심으로)

  • Chung, Suk-Kyun
    • Journal of Digital Convergence
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    • v.10 no.1
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    • pp.49-57
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    • 2012
  • The Internet succeeded because of the end-to-end principle which allowed anyone to add functionality to the network. However, as the internet is increasingly becoming the platform for smart IT applications such as VoIP, IPTV, Cloud Computing and Smart Phone, networks are now under increasing strain of traffic congestion and the absence of quality of service insurances. To date, the debate over internet rules has focused on network neutrality rather than network efficiency. This article emphasizes the well-functioning role of market mechanism for the efficient use and further development of the network. To maximize the value of the network, this article proposes a differential treatment to packets based on customer types, and a two-part tariff pricing rule to secure funding to expand and upgrade networks.

Meta's Metaverse Platform Design in the Pre-launch and Ignition Life Stage

  • Song, Minzheong
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.121-131
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    • 2022
  • We look at the initial stage of Meta (previous Facebook)'s new metaverse platform and investigate its platform design in pre-launch and ignition life stage. From the Rocket Model (RM)'s theoretical logic, the results reveal that Meta firstly focuses on investing in key content developers by acquiring virtual reality (VR), video, music content firms and offering production support platform of the augmented reality (AR) content, 'Spark AR' last three years (2019~2021) for attracting high-potential developers and users. In terms of three matching criteria, Meta develops an Artificial Intelligence (AI) powered translation software, partners with Microsoft (MS) for cloud computing and AI, and develops an AI platform for realistic avatar, MyoSuite. In 'connect' function, Meta curates the game concept submitted by game developers, welcomes other game and SNS based metaverse apps, and expands Horizon Worlds (HW) on VR devices to PCs and mobile devices. In 'transact' function, Meta offers 'HW Creator Funding' program for metaverse, launches the first commercialized Meta Avatar Store on Meta's conventional SNS and Messaging apps by inviting all fashion creators to design and sell clothing in this store. Mata also launches an initial test of non-fungible token (NFT) display on Instagram and expands it to Facebook in the US. Lastly, regarding optimization, especially in the face of recent data privacy issues that have adversely affected corporate key performance indicators (KPIs), Meta assures not to collect any new data and to make its privacy policy easier to understand and update its terms of service more user friendly.

An Analysis of Cyber Attacks and Response Cases Related to COVID-19 (코로나19 관련 사이버 공격 및 대응현황 분석)

  • Lee, Yongpil;Lee, Dong-Geun
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.119-136
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    • 2021
  • Since the global spread of COVID-19, social distancing and untact service implementation have spread rapidly. With the transition to a non-face-to-face environment such as telework and remote classes, cyber security threats have increased, and a lot of cyber compromises have also occurred. In this study, cyber-attacks and response cases related to COVID-19 are summarized in four aspects: cyber fraud, cyber-attacks on companies related to COVID-19 and healthcare sector, cyber-attacks on untact services such as telework, and preparation of untact services security for post-covid 19. After the outbreak of the COVID-19 pandemic, related events such as vaccination information and payment of national disaster aid continued to be used as bait for smishing and phishing. In the aspect of cyber-attacks on companies related to COVID-19 and healthcare sector, we can see that the damage was rapidly increasing as state-supported hackers attack those companies to obtain research results related to the COVID-19, and hackers chose medical institutions as targets with an efficient ransomware attack approach by changing 'spray and pray' strategy to 'big-game hunting'. Companies using untact services such as telework are experiencing cyber breaches due to insufficient security settings, non-installation of security patches, and vulnerabilities in systems constituting untact services such as VPN. In response to these cyber incidents, as a case of cyber fraud countermeasures, security notices to preventing cyber fraud damage to the public was announced, and security guidelines and ransomware countermeasures were provided to organizations related to COVID-19 and medical institutions. In addition, for companies that use and provide untact services, security vulnerability finding and system development environment security inspection service were provided by Government funding programs. We also looked at the differences in the role of the government and the target of security notices between domestic and overseas response cases. Lastly, considering the development of untact services by industry in preparation for post-COVID-19, supply chain security, cloud security, development security, and IoT security were suggested as common security reinforcement measures.

Analysis on the National R&D Trends Related to Agro-Healing Using NTIS R&D DATA in Korea (NTIS 국가연구개발사업 정보를 활용한 치유농업 국가 R&D 동향 분석)

  • Jung, Yeo-Joo;Kim, Jeong-Eun;Ryu, Jin-Seok;Yang, Myung-Seok;Kim, Dae-Sik
    • Journal of Korean Society of Rural Planning
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    • v.27 no.3
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    • pp.85-92
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    • 2021
  • As the paradigm of green has been expended as the core of sustainable development in Korea, agro-healing projects increasingly have been a priority at the national policy and investment area. But little is known about the current overview of national research and development(R&D) related to agro-healing. The aim of this study was generally to investigate the research trends of national R&D related to agro-healing over the past five years. Dataset were gathered from provided by National Science & Technology Information Service(NTIS), word cloud techniques were applied. The main results showed that amounts of number and funding related to agro-healing projects have been increasing. In particular, the Rural Development Administration had the highest number of research, and it was found that the Ministry of Trade, Industry and Energy have spended a lot of money on agro-healing. As a results, it is necessary to expand the scope of the field of agro-healing projects, especially at the multisectoral and intersectoral level for improving health, well-being and a sustainable future.

Analysis of technical environment of domestic fintech companies (국내 핀테크 기업의 기술 환경 분석)

  • Choi, Yoo-jung;Choi, Hun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.10
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    • pp.1384-1389
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    • 2020
  • Although the fintech industry is developing rapidly around the world, the domestic development situation is rather slow compared to the speed. Therefore, the future development direction can be set by analyzing the current status of the fintech industry in order to suggest the direction of development in the domestic fintech industry. The main services provided by companies belonging to the domestic fintech industry are in the areas of remittance settlement, financial investment, asset management, crowdfunding, P2P finance, overseas remittance, fintech SI, insurtech, virtual currency, security, and authentication. It is divided into. This study identifies the main technologies used in the service and grasps the current domestic status. In addition, it analyzes the distribution of workers by each service. This study is expected to play an important role in the development of the financial industry through technical analysis of fintech companies.

Analysis of Industry-academia-research Cooperation Networks in the Field of Artificial Intelligence (인공지능 산·학·연 협력 공동연구 네트워크 분석)

  • Junghwan Lee;Seongsu Jang
    • Information Systems Review
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    • v.26 no.2
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    • pp.155-167
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    • 2024
  • This study recognized the importance of joint research in the field of artificial intelligence and analyzed the characteristics of the industry-academic-research technological cooperation ecosystem focusing on patents from the perspective of the Techno-Economic Segment (TES). To this end, economic entities such as companies, universities, and research institutes within the ecosystem were identified for 7,062 joint research projects out of 113,289 artificial intelligence patents over the past 10 years filed in IP5 countries since 2012. Next, this study identified the topics of technological cooperation and the characteristics of cooperation. As a result of the analysis, technological cooperation is increasing, and the frequency of all types of cooperation was high in industry-to-industry (40%) and industry-to-university (25.2%) relationships. Here, this study confirmed that the role of universities is being strengthened, with an increase in the ratio of companies with strengths in funding and analytical data, industry and universities with excellent research personnel (9.8%), and cooperation between universities (1.9%). In addition, as a result of identifying collaborative patent research areas of interest and collaborative relationships through topic modeling and network analysis, overall similar research interests were derived regardless of the type of cooperation, and applications such as autonomous driving, edge computing, cloud, marketing, and consumer behavior analysis were derived. It was confirmed that the scope of research was expanding, collaborating entities were becoming more diverse, and a large-scale network including Chinese-centered universities was emerging.