• Title/Summary/Keyword: digital ecosystem

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A Study on implementation model for security log analysis system using Big Data platform (빅데이터 플랫폼을 이용한 보안로그 분석 시스템 구현 모델 연구)

  • Han, Ki-Hyoung;Jeong, Hyung-Jong;Lee, Doog-Sik;Chae, Myung-Hui;Yoon, Cheol-Hee;Noh, Kyoo-Sung
    • Journal of Digital Convergence
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    • v.12 no.8
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    • pp.351-359
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    • 2014
  • The log data generated by security equipment have been synthetically analyzed on the ESM(Enterprise Security Management) base so far, but due to its limitations of the capacity and processing performance, it is not suited for big data processing. Therefore the another way of technology on the big data platform is necessary. Big Data platform can achieve a large amount of data collection, storage, processing, retrieval, analysis, and visualization by using Hadoop Ecosystem. Currently ESM technology has developed in the way of SIEM (Security Information & Event Management) technology, and to implement security technology in SIEM way, Big Data platform technology is essential that can handle large log data which occurs in the current security devices. In this paper, we have a big data platform Hadoop Ecosystem technology for analyzing the security log for sure how to implement the system model is studied.

A Study on the Development of Phased Big Data Distribution Model Based on Big Data Distribution Ecology (빅데이터 유통 생태계에 기반한 단계별 빅데이터 유통 모델 개발에 관한 연구)

  • Kim, Shinkon;Lee, Sukjun;Kim, Jeonggon
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.95-106
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    • 2016
  • The major thrust of this research focuses on the development of phased big data distribution model based on the big data ecosystem. This model consists of 3 phases. In phase 1, data intermediaries are participated in this model and transaction functions are provided. This system consists of general control systems, registrations, and transaction management systems. In phase 2, trading support systems with data storage, analysis, supply, and customer relation management functions are designed. In phase 3, transaction support systems and linked big data distribution portal systems are developed. Recently, emerging new data distribution models and systems are evolving and substituting for past data management system using new technology and the processes in data science. The proposed model may be referred as criteria for industrial standard establishment for big data distribution and transaction models in the future.

The study on the research trend about Europe ports: focus on Baltic Sea using Keyword network (키워드네트워크 분석을 활용한 유럽항만의 연구동향 분석 :발틱해를 중심으로)

  • Delgado, Beatriz Barrera;Ma, Hye Min;Oh, Jae gyun;Yeo, Gi Tae
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.139-149
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    • 2018
  • Since the 17th century, international trade has increased as a result of the development in the navigation skills. Recently, maritime transport, compared to other modes, is used more than 70% worldwide by shippers and ports, and it also has become essential in international trade. Most researchers focused only on port development, in topics like ensuring depth of water, port competition and port governance, but have left some topics undone, such as environment, ecosystem and balanced development. Therefore, this study provides insight to the academic world in port research using SNA (Social Network Analysis). The result of the SNA study shows that Baltic Sea ports researchers have focused on "Shipping", "Marine ecosystem"and "Pollution". The implications of this study are: first, the environment has become a main issue in the research field; second, the results suggest focusing on the main keywords from the keyword network. This study has some limitations such as excluding domestic journals and focusing in the recent 10 years.

The Algorithm of implementation for genome analysis ecosystems : Mitochondria's case (유전체 생태계 분석을 위한 알고리즘 구현: 미토콘드리아 사례)

  • Choi, Sung-Ja;Cho, Han-Wook
    • Journal of Digital Convergence
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    • v.14 no.4
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    • pp.349-353
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    • 2016
  • The studies on the human environment and ecosystem analysis is being actively researched. In recent years, The service of genome analysis has been offering the customized service to prevent the disease as reading an individual's genome information. The genome information by analyzing technology is being required accurate and fast analyses of ecosystem-dielectrics due to the spread of the disease, the use of genetically modified organism and the influx of exotic. In this paper the algorithm of K-Mean clustering for a new classification system was utilized. It will provide new dielectrics information as quickly and accurately for many biologists.

A study on deriving success factors and activating methods through metaverse marketing cases (메타버스(Metaverse) 마케팅 사례를 통한 성공요인 및 활성화 방안 연구)

  • Jo, Jae-Wook
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.791-797
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    • 2022
  • Through recent metaverse marketing case studies, success factors and activation methods were analyzed from the perspective of content, platform, network, and device of the metaverse ecosystem in each industry. The importance of contents and platform of metaverse could be found in entertainment, fashion, office space and real estate, education, advertisement and commerce industries. In order to vitalize the metaverse, firstly, it is necessary to strengthen active participation and retention by providing a stable revenue model for market participants. Secondly, the importance of attractive content to expand subscribers is a key trigger for metaverse activation. Thirdly, it is necessary to increase the convenience of using metaverse service by using a light and simple device for the user. Fourthly, a win-win cooperation strategy should be supported in the value chain of the industry through ecosystem scalability. In addition, business opportunities for market participants and additional revenue models should be continuously provided.

Development process and limitations of science and technology manpower policy, and suggestions for future direction (과학기술인력정책의 발전과정과 한계, 미래 방향에 대한 제언)

  • Seongmin Hong;Eunhye Hwang
    • Journal of Technology Innovation
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    • v.31 no.3
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    • pp.111-138
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    • 2023
  • The purpose of this paper is to summarize the development process of major science and technology manpower policies and to derive desirable future policy directions in the policy environment of a paradigm shift in supply and demand. To this end, first, the development process of the science and technology manpower policy, which was promoted in earnest from the 2000s, with the topic of resolving the phenomenon of avoidance of science and engineering majors, was examined, focusing on the basic plan for supporting science and engineering majors. Next, we summarized the main contents and implications of the change in demand for science and technology personnel caused by digital transformation and the supply shock of demographic decline, that is, the paradigm shift in the supply and demand of science and technology talents. Based on this, the core direction of the future science and technology manpower policy was suggested to create a human-centered science and technology research ecosystem that promotes the continued growth and inflow of human resources, so that can be the foundation for the training and utilization of excellent science and technology talents.

Study on Digital Finance Secure Architecture based on Blockchain (블록체인 기반의 디지털 금융보안 아키텍처에 관한 연구)

  • Kim, Kyoung-jin;Hong, Seng-phil
    • Journal of Advanced Navigation Technology
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    • v.25 no.5
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    • pp.415-425
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    • 2021
  • In line with the trend of the digital transformation, the financial sector is providing financial services with new technologies. Among them, the open banking, which is drawing attention from global financial industry, is a service environment that maximizes customers' convenience and data utilization. In addition, the shift in the digital paradigm has also increased anxiety that security problems such as hacking and information leakage caused by data sharing are also concerned. A failure to overcome the negative view will hinder the development of financial services. This study presents a security governance system that can safely and comprehensively manage data in a digital financial ecosystem. This prepares a technical application plan by presenting a digital financial security architecture to field workers, focusing on the open banking service environment. It can be seen that this study is worthwhile by presenting a comprehensive information protection system that allows financial IT to introduce and utilize open banking services in a changing environment.

Visualizations of Relational Capital for Shared Vision

  • Russell, Martha G.;Still, Kaisa;Huhtamaki, Jukka;Rubens, Neil
    • World Technopolis Review
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    • v.5 no.1
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    • pp.47-60
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    • 2016
  • In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

Analysis on Topography and Exposure Duration of Siheung Tidal Flat Using Remote Sensing Techniques (위성영상 분석기술을 이용한 시흥갯벌의 지형 및 노출시간 분석)

  • Koo, Bon Joo;Kim, Minkyu
    • Ocean and Polar Research
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    • v.35 no.4
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    • pp.291-298
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    • 2013
  • In order to investigate the topography and exposure duration of the Siheung tidal flat, tidal ranges and DEM constructed by remote sensing techniques were analyzed. A cross-sectional diagram of the intertidal area reveals that it is relatively flat in the upper zone and then abruptly plunges into the bottom of the main channel where elevations increase in an upstream direction. The waterline during the Highest Low Water (HLW) is drawn back to the bottom of the channel at the middle part of the tidal flat and is formed along the slant of the channel during the Lowest High Water (LHW). The intertidal zone is located between -410 cm and 510 cm in terms of elevation and its total area is $0.65km^2$. An area between the Highest High Water (HHW) and Lowest High Water (LHW), occupying about 80% of the total area, occupies $0.52km^2$ of total area and accounts for 56% of the exposure duration. The boundary of wetland protection area in the Siheung tidal flat did not exactly coincide with the intertidal regime and differs by more than 15%. This study, which precisely analyzed the tidal flat area, tidal environment, and topography, would be useful in making a conservation plan and in learning how to use a wetland protection area in a sustainable manner.

The development model of PT Visionet Internasional (OVO) in Indonesia

  • Yuhang Xia;Yuming Liu;Myeongcheol Choi;Chuijie Meng;Haanearl Kim
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.125-131
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    • 2023
  • OVO is a digital platform that provides simple payments and smart financial services, as well as one of the largest digital payment platforms in Indonesia. It has wide coverage and security when making payments, and supports multiple settlement currencies. The purpose of this study is to explore the history, business model, and future strategic direction of OVO, an Indonesian e-wallet. To date, OVO has built its own mobile payment ecosystem covering a wide range of consumer scenarios including e-commerce, travel, offline shopping and finance. And it supports mobile banking, online banking, debit cards or selected partner merchants. Its three largest transaction categories are in the transportation, retail and e-commerce sectors. With over 110 million consumers and 1.3 million merchant users, it is one of the dominant e-wallets in Indonesian market and has become the country's e-payment market leader. OVO eWallet's 'One Card' model offers convenience and choice for users, thus contributing to the rapid growth of OVO eWallet. And OVO eWallet competes fiercely with other competitors, but OVO eWallet continues to grow in terms of the number of users and market share. Finally, this study analyzes the strategic goals and plans of OVO eWallet, predicts its future direction. OVO eWallet has a huge success, but there are still competition and challenges to face.