• 한국정보전자통신기술학회논문지
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• 제13권6호
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• pp.511-522
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• 2020

본 논문은 공공영역에서 의료 마이데이터 사업을 추진하기 위한 생태계 구축 방안을 도출하는 것을 목적으로 하였다. 이를 위해 먼저 마이데이터 사업의 유형을 비즈니스 도메인별, 주체별, 목적별, 방식별로 구분하고, 이를 바탕으로 국내 및 해외에서 추진되고 있는 마이데이터 사업을 유형별로 분석하였다. 그 후 분석 결과를 바탕으로 시나리오 기법을 통해 공공영역에서 추진할 수 있는 마이데이터 사업의 시나리오를 도출하고, 각 시나리오를 추진하기 위한 주체별 역할 및 주요 이슈를 파악하여 생태계 구성 주체별 전략방향을 제시하였다. 이와 같은 시도는 민감 정보를 대상으로 하여 민간에서 시작하기에 이슈가 많은 의료 마이데이터 사업이 국내에 정착하기 위해 공공영역에서 주도적으로 할 수 있는 역할이 무엇인지를 드러내는데 1차적 의의가 있다. 이를 통해 국내에서 생태계가 구축되기 위해 예상되는 이슈를 파악하고, 향후 마이 데이터 사업이 국내에서 올바른 방향으로 추진될 수 있는 방향성을 제시하기 위한 논의의 초석이 될 것으로 기대한다.

• 정보보호학회논문지
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• 제24권6호
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• pp.1263-1269
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• 2014

상용제품에 종속적인 국방 사이버 방호체계 생태계는 APT(Advanced Persistent Threat) 등 지능화된 최근 사이버 공격양상에 더욱 취약할 수 있다. 일반무기체계는 대부분 특정 방위산업체가 양산한 관급제품으로 원천기술 등에 대한 보호가 가능하지만 사이버 방호체계는 대부분 상용제품으로 군을 공격하지 않고 산업체 공격을 통해 군 공격이 직 간접적으로 가능하다. 본 논문에서는 국방 사이버 방호체계를 구축해나가는 생태계에 있어서 적 공격의 가상 시나리오를 분석해보고, 이에 대한 취약성 및 위협성을 평가 및 검증하여 안전한 국방 사이버 방호체계 생태계 구축을 위한 기술적, 정책적 방안을 제시한다.

• 한국IT서비스학회지
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• 제13권4호
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• pp.109-122
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• 2014

Demand of spectrum resource is tremendously increasing recently and this trend will continues in the future due to the wide spread of IT services based on cloud computing and Internet of Things technology and as well as smart devices. Recently, spectrum sharing technology has drawn attention to the spectrum policy makers as a promising way to overcome the shortage problem of scarce spectrum resource. To succeed in commercialization of spectrum sharing technology, it is necessary to prospect the future business ecosystem of spectrum sharing and develop appropriate policies and laws at the same time along with the advance of spectrum sharing technology. The purpose of this paper is to analyze casual relationships between enablers in future business ecosystem of spectrum sharing and propose policies to vitalize spectrum sharing ecosystem based on a system dynamics causal map proposed in the previous research. With the causal map and system dynamics method, it is possible to analyze feedback loops exist in the business ecosystem of spectrum sharing and build policies which optimize positive dynamics in business ecosystem of spectrum sharing. As a result, policy leverages were found in four areas; spectrum supply, spectrum demand, spectrum quality and technology, and spectrum transaction cost. For those policy leverages, 13 policies were identified and intervention timing for each policy was discussed. Finally, the promotion policies of government and market participants to vitalize spectrum sharing ecosystem were discussed.

• 한국수산과학회지
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• 제54권2호
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• pp.194-207
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• 2021

It is necessary to assess and manage the different elements of the marine ecosystem, such as climate change, habitat, primary and secondary production, energy flow, food web, potential yield, and fishing, to maintain the health of the ecosystem as well as support sustainable development of fishery. We set up an ecosystem model around the Korean peninsula to produce scientific predictions necessary for the assessment and management of marine ecosystems and presented the usability of the model with scenario experiments. We used the Atlantis ecosystem model based on the marine food web; Atlantis is a three-dimensional end-to-end model that includes the information and processes within an entire system, from an abiotic environment to human activity. We input the ecological and biological parameters, such as growth, mortality, spawning, recruitment, and migration, to the Atlantis model via functional groups using existing research and local measurements. During the simulation period (2018-2019), we confirmed that the model reproduced the observed data reasonably and reflected the actual ecosystem characteristics appropriately. We thus identified the usability of a marine ecosystem model with experiments on different environmental change scenarios.

• 경영정보학연구
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• 제21권4호
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• pp.125-141
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• 2019

알파고로 대변되는 딥러닝 기법의 등장으로 인공지능은 기업 경쟁우위 확보를 위한 디지털 트랜스포메이션의 핵심 주제로 급부상했다. 산업 내 인공지능 기반 디지털 트랜스포메이션 방향을 이해하기 위해서는 현재 진행 중인 인공지능 비즈니스 생태계 참여자들 유형 및 활동에 대한 명확한 이해가 선행되어야 한다. 따라서 본 연구는 다행위자 네트워크(Multi-actor network)관점에서 인공지능 비즈니스 생태계 내부와 외부 참여자들의 활동을 분석하고 플랫폼 전략 유형을 규명하였다. 인공지능 비즈니스 생태계 내부 세 개 계층(인프라스트럭처 & 하드웨어, 소프트웨어 & 애플리케이션, 서비스 & 데이터 계층)에서 사업자들은 네 가지 플랫폼 전략 유형으로(기술수직×비즈수평, 기술수직×비즈수직, 기술수평×비즈수평, 기술수평×비즈수직) 인공지능 비즈니스가 진행되고 있다. 인공지능 비즈니스 생태계 외부에는 다섯 행위자들이(사용자, 투자자, 정부 정책가, 학계 등 컨소시엄, 시민단체) 공존 및 지속가능한 인공지능 비즈니스 생태계를 지원하고 있다. 본 연구는 학술적으로 인공지능 비즈니스 생태계 분석 프레임워크 및 인공지능 플랫폼 전략 모델을 제시하였고, 실무적으로 플랫폼 관점의 인공지능 디지털 트랜스포메이션 전략 방향과 지속가능한 인공지능 비즈니스 생태계 조성을 위한 정부, 학계 등의 역할을 제시했다.

• Spatial Information Research
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• 제3권1호
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• pp.29-38
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• 1995

• 한국BIM학회 논문집
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• 제9권1호
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• pp.32-41
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• 2019

As population in Sarasota and Manatee Counties, Florida in the United States is projected to increase, land use changes from land development happen continuously. The more land development means the more impervious surfaces and stormwater runoff to Sarasota Bay, which causes critical impact on the resiliency of the ecosystem. In order to decrease its impact on water quality and the ecosystem function of Sarasota Bay, it is important to assess the resilient status of communities that create negative impacts on the ecosystem. Three types of guiding principles of resiliency for Sarasota Bay watershed are suggested. To assess resiliency status, three indexes - vulnerability index, socio-economic index, and ecological index are developed and analyzed by using geographic information system for each census tract in the two counties. Since each indicator for vulnerability index, socio-economic index, and ecological index is measured with different metrics, statistical standardizing method - distance from the best and worst performers is used for this study to directly compare and combine them all to show total resilience score for each census tract. Also, the ten most and the ten least scores for the total resilience index scores are spatially distributed for better understanding which census tracts are most or least resilient. As Sarasota Watershed boundary is also overlaid, it is easy to understand how each census tract attains its resilience and how each census tract impacts to Sarasota Bay ecosystem. Based on results of the resiliency assessment several recommendations, guidelines, or policies for attaining or enhancing resiliency are suggested.

• 생태와환경
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• 제57권1호
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• pp.51-59
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• 2024

This note summarizes the application of zooplankton indices for water quality management and estimation based on main research topics of articles focusing on wetland ecosystems, topics that are remained poorly investigated in S. Korea. The aquatic ecosystem-based consists of indices that respond to different target environmental factors, including environmental disturbance. Among the major indicator species and biota, we reviewed that management strategy for the wetland environment has to be focused more on small-sizes, in terms of zooplankton ecology and indices. The ecology of zooplankton communities in freshwater ecosystem has been the focus of an increasing number of studies since 2019, and considerable progress has been made in understanding the major mechanisms involved in regulating their abundance, diversity and spatio-temporal patterns. Even though studies on the freshwater ecosystem in Korea have a long history, a few of studies on zooplankton biota were conducted at wetlands. We suggested the candidate zooplankton indices proposed by the U.S. EPA and EU to suit Korean conditions. In the step of selecting metrics, the best available metrics are species-related variables, such as composition and abundance, as well as richness and diversity. Overall, in spite of several limitations, the development of a plankton-based multivariate assessment method in Korea wetlands is possible using mostly field research data. Later, it could be improved based on qualitative metrics on zooplankton, and with the emergence of further survey data. The present information can be used as basic information for researchers who are dealing with aquatic environments and its interaction with organisms.

• 정보보호학회논문지
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• 제22권5호
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• pp.1205-1216
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• 2012

최근 국내에서도 secure coding 제도화가 처음으로 마련되었다. 개발보안의 체계적 정착을 위한 중요한 첫걸음이라는 점에서 높이 살만하다고 하겠다. 그럼에도 현 제도의 실행 과정에서 예상되는 이슈가 제기되는 등 향후 보완할 점도 제법 있다. 이런 상황에서 본 연구에서는 생태계 차원의 분석을 시도한다. 즉, 개발 보안 제도를 생태계 차원에서 묘사하고, 이를 토대로 현상적 이슈와 문제점을 분석한다. 이런 문제와 이슈의 극복을 위해 향후 강구되어야할 대안을 몇 가지 제시한다.

• Journal of information and communication convergence engineering
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• 제19권1호
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• pp.8-15
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• 2021

The Fourth Industrial Revolution is currently leading humanity into a super-connected, super-intelligent, and super-converged society through key technologies such as artificial intelligence, the Internet of Things (IoT), and big data. Blockchain technology has the potential to lead social innovation that will improve the mutual harmony and understanding of the complex structures of human society as well as various phenomena (e.g., antagonism, confrontation, and ideological conflict). With such progress in social innovation, blockchain technology will result in a fairer and more transparent human society. In addition, blockchain technology is emerging as a core infrastructure technology, and its growth and expansion are expected to bring about revolutionary improvements to nearly all fields of development and research. In this paper, we briefly outline the main features of blockchain technology. Through a further analysis of its ecosystem, we intend to offer suggestions for a more robust and efficient development of blockchain-related industries.