• Title/Summary/Keyword: Information Ecosystem

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A Discourse Analysis to Public Library Ecosystem in Korea (국내 공공도서관 생태계의 담론적 분석)

  • Yoon, Hee-Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.1
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    • pp.5-27
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    • 2017
  • The goal of this study is to suggest various improvements and expanding strategies of the public library ecosystem. For this goal, researcher reviewed and analyzed the realistic landscapes and social recognitions about the public library ecosystem as local public goods, and discoursed the basic principles and structural terrain of public library ecosystem based on natural ecosystem. As a result, researcher proposed multifaceted alternatives (ensure library's identity and publicity applying Law of Karma, strengthen librarian's professionalism on the premise of overcoming the Minerva's syndrome, optimize the library service and collection management based on the Pareto principle, reduce reading room and differentiated program through resolution of Halo effect, eliminate usage bias by life cycle based on the Gauss distribution, acceptance of the digital paradigm and use-friendly spatialization that ruminates the Icarus paradox, incorporate small library into public library system through a clear understanding of the Gresham's law, and enforce communication and spread social and cultural value through the practice of the Pompeii paradox).

Optimal Monitoring Frequency Estimation Using Confidence Intervals for the Temporal Model of a Zooplankton Species Number Based on Operational Taxonomic Units at the Tongyoung Marine Science Station

  • Cho, Hong-Yeon;Kim, Sung;Lee, Youn-Ho;Jung, Gila;Kim, Choong-Gon;Jeong, Dageum;Lee, Yucheol;Kang, Mee-Hye;Kim, Hana;Choi, Hae-Young;Oh, Jina;Myong, Jung-Goo;Choi, Hee-Jung
    • Ocean and Polar Research
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    • v.39 no.1
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    • pp.13-21
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    • 2017
  • Temporal changes in the number of zooplankton species are important information for understanding basic characteristics and species diversity in marine ecosystems. The aim of the present study was to estimate the optimal monitoring frequency (OMF) to guarantee and predict the minimum number of species occurrences for studies concerning marine ecosystems. The OMF is estimated using the temporal number of zooplankton species through bi-weekly monitoring of zooplankton species data according to operational taxonomic units in the Tongyoung coastal sea. The optimal model comprises two terms, a constant (optimal mean) and a cosine function with a one-year period. The confidence interval (CI) range of the model with monitoring frequency was estimated using a bootstrap method. The CI range was used as a reference to estimate the optimal monitoring frequency. In general, the minimum monitoring frequency (numbers per year) directly depends on the target (acceptable) estimation error. When the acceptable error (range of the CI) increases, the monitoring frequency decreases because the large acceptable error signals a rough estimation. If the acceptable error (unit: number value) of the number of the zooplankton species is set to 3, the minimum monitoring frequency (times per year) is 24. The residual distribution of the model followed a normal distribution. This model can be applied for the estimation of the minimal monitoring frequency that satisfies the target error bounds, as this model provides an estimation of the error of the zooplankton species numbers with monitoring frequencies.

A Study on Global Blockchain Economy Ecosystem Classification and Intelligent Stock Portfolio Performance Analysis (글로벌 블록체인 경제 생태계 분류와 지능형 주식 포트폴리오 성과 분석)

  • Kim, Honggon;Ryu, Jongha;Shin, Woosik;Kim, Hee-Woong
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.209-235
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    • 2022
  • Starting from 2010, blockchain technology, along with the development of artificial intelligence, has been in the spotlight as the latest technology to lead the 4th industrial revolution. Furthermore, previous research regarding blockchain's technological applications has been ongoing ever since. However, few studies have been examined the standards for classifying the blockchain economic ecosystem from a capital market perspective. Our study is classified into a collection of interviews of software developers, entrepreneurs, market participants and experts who use blockchain technology to utilize the blockchain economic ecosystem from a capital market perspective for investing in stocks, and case study methodologies of blockchain economic ecosystem according to application fields of blockchain technology. Additionally, as a way that can be used in connection with equity investment in the capital market, the blockchain economic ecosystem classification methodology was established to form an investment universe consisting of global blue-chip stocks. It also helped construct an intelligent portfolio through quantitative and qualitative analysis that are based on quant and artificial intelligence strategies and evaluate its performances. Lastly, it presented a successful investment strategy according to the growth of blockchain economic ecosystem. This study not only classifies and analyzes blockchain standardization as a blockchain economic ecosystem from a capital market, rather than a technical, point of view, but also constructs a portfolio that targets global blue-chip stocks while also developing strategies to achieve superior performances. This study provides insights that are fused with global equity investment from the perspectives of investment theory and the economy. Therefore, it has practical implications that can contribute to the development of capital markets.

Study on Response of Ecosystem to the East Asian Monsoon in Eastern China Using LAI Data Derived from Remote Sensing Information

  • Zhang, Jiahua;Yao, Fengmei;Fu, Congbin
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1298-1300
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    • 2003
  • Based on the Leaf Area Index (LAI) data derived from remote sensing information and eco-climate data, the responses of regional ecosystem variations in seasonal and interannual scales to the East Asian monsoon are studied in this paper. It is found that the vegetation ecosystems of eastern China are remarkably correlated with the East Asian monsoon in seasonal and interannual scales. In the seasonal timescale, the obvious variations of the vegetation ecosystems occur with the development of the East Asian monsoon from the south in the spring to the north in the autumn. In the interannual scale, high LAI appears in the strong East Asian monsoon year, whereas low LAI is related to the weak East Asian monsoon year. These further lead to the characteristic of 'onsoon-driven ecosystem' in the eastern China monsoon region, which can be revealed by LAI.

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A Study on Knowledge Management Model of Library Based on Knowledge Ecology (지식생태학 관점에서 본 도서관의 지식관리 모형 연구)

  • Choi, Hee-Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.40 no.1
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    • pp.397-416
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    • 2006
  • This study is focusing on the establishment of knowledge management framework of library, supposed that library becomes an integrated knowledge system offering various types of knowledge. Knowledge management of library based on knowledge ecology justifies the logical and physical roles of library, as the sustainer of the knowledge ecosystem in which all the types of social factors consisting of knowledge ecosystem are Interacting to continuously circulate knowledge. The library as the center of knowledge ecosystem should make sure the systemized environment in which knowledge producer is supported to timely distribute knowledge to knowledge consumer through information professional accomplishing the role of knowledge facilitator.

Integrated Platform on the Basis of Heterogeneous Data to Support the Establishment of an Innovative Ecosystem for National High-Performance Computing: Focusing on Life Science & Public Health Area (국가 초고성능컴퓨팅 혁신 생태계 구축 지원을 위한 이종데이터 기반 통합 플랫폼: 생명·보건분야를 중심으로)

  • Do-Yeon Lee;Myoung-Ju Koh;Jae-Gyoon Hahm;Keun-Hwan Kim
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.1
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    • pp.1-14
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    • 2023
  • To secure national future competitiveness, the Korean government announced the 『National Ultra-High Performance Computing (HPC) Innovation Strategy (2021.5.28.)』 and set three innovation strategy goals throughout establishing an innovation ecosystem. This study presented a heterogenous data-based strategic support framework that allowed to understand both the current status of domestic & foreign R&D areas and domestic industrial economy areas in terms of strategic fields related to ultra-high performance computing, and the empirical research was conducted in the life science and public health area. The HPC innovation ecosystem platform based on the connection of heterogeneous data (domestic R&D project-technology-industry-overseas R&D project) presented in this study provided useful and essential information that allowed establishing a specific action plan for the national HPC innovation strategy and contributing to vitalizing the innovation ecosystem. Since the evidence-based policy assumes that a more reasonable consensus is reached through a non-biased decision- making process among stakeholders, the proposed platform may contribute to enhancing policy momentum by increasing legitimacy and trust of planning of the national HPC strategy.

Strategies and Policies for Developing ICT Ecosystems (ICT 생태계 구축을 위한 기업 전략 분석 및 정책 제안)

  • Yu, Jieun;Lee, Kibaek;Choi, Munkee;Zo, Hangjung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37B no.11
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    • pp.1058-1071
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    • 2012
  • This paper proposes policies for developing ICT ecosystems so that Korean ICT companies can have a competitive power under the changing ICT industry environment. It analyzes the changes of user characteristics, their consumption trends and ICT industry environment. It also examines problems of domestic ICT industry and overseas ICT policies. In addition, it investigates the ICT ecosystem strategies of Google and Apple based on the theory of business ecosystem. This study suggests government policies for establishing a smart ecosystem, incubating a strategic ecosystem, and maintaining a sustainable ecosystem. The findings of this study provide additional insights and guidelines for policy makers to develop effective ICT ecosystems.

A Study on Conservation Plan of Peatland - A Case Study of Yang-San Peatland - (고층습지 관리계획을 위한 고찰 - 양산고층습지를 중심으로 -)

  • Yoon, Sung-Yoon;Ahn, Byung-Young
    • Journal of Wetlands Research
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    • v.3 no.1
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    • pp.29-38
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    • 2001
  • We have studied the Yang-San peatland area to make a conservation plan. Since the peatland has its own unique ecosystem, which provides important resources in studying transformations of ecosystem, vegetation, weather, and many other things, it is not enough to emphasize the importance of preserving this area. Based on our investigation, we propose the followings to preserve the Yang-San peatland area and use in environmentally sustainable manner. First, it should be designated as a Wetland preservation area to make a conservation system between government and citizens. Second, a monitoring system is essential to observe the change of ecosystem and prohibit trespassing. Third, a comprehensive and precise investigation is in need how to restore the ecosystem. Fourth, an educational information about the ecosystem should be provided through pamphlets, postcards, visiting centers etc.

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Remote Sensing and Ecosystem Management in Korea (한국에서의 원격탐사와 생태계 관리)

  • Kim, Dae-Seon;Ryu, Cheol-Sang;Chun, Seung-Kyu
    • Journal of Environmental Impact Assessment
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    • v.3 no.1
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    • pp.77-82
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    • 1994
  • A Nationwide survey of ecosystem in the Republic of Korea was accomplished from 1986 to 1990 and in that survey, GIS and remote sensing were used partially. This was done by the Ministry of Environment(MOE), which introduced remote sensing and GIS for environment management in late 1980's. Especially the National Institute of Environmental Research (NIER) are under the research on systematization of environmental information with an ultimate goal of application of GIS and remote sensing to environmental impact assessment. Although the Korean peninsula is in a non-tropical zone, we introduce two case studies on remote sensing applications to ecosystem managements in the Republic of Korea. One is a study on change detection in urban vegetation of Seoul with Landsat data and the other is a study on detection of insect damaged pine tree area using Landsat TM data. The techniques involved and the conclusion from these studies were relevant to vegetation studies in tropical ecosystem.

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Evaluation of the Spatial Distribution of Water Yield Service based on Precipitation and Population (강수량 및 인구인자를 반영한 수원함양서비스의 공간분포 평가)

  • CHO, Heun-Woo;SONG, Chol-Ho;JEON, Seong-Woo;KIM, Joon-Soon;LEE, Woo-Kyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.3
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    • pp.1-15
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    • 2016
  • The study of ecosystem service assessment has been actively researched and developed from Millennium Ecosystem Assessment(MA) and The Economics of Ecosystems and Biodiversity(TEEB). However, current assessments are limited to monetary assessments of ecosystem function and do not account for the effects of environmental factors and socioeconomic status. This study proposes methods to evaluate ecosystem service based on environmental and socioeconomic factors. The study assesses water yield function through the water yield model in InVEST Tool, and evaluates the overall ecosystem service of water yield as reflected by the amount of precipitation and population of the area. Results show that a difference exists between spatial distributions of the ecosystem function of water yield derived from natural conditions such as land cover and soil, and the spatial distribution of the ecosystem service that accounts for climate and socioeconomic factors. The value of ecosystem service increases for an area of higher population and lower precipitation with similar water yield. Thus, the ecosystem service of water yield should be evaluated not only by the water yield function, but also by climate and socioeconomic factors. The evaluation process described for this study should also be applicable to the evaluation of ecological services in other sectors.