• 한국시뮬레이션학회논문지
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• 제17권4호
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• pp.209-218
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• 2008

UML(Unified Modeling Language)은 소프트웨어 설계 단계에서 디자인을 구체화하고, 가시화하여 구성하고, 문서화하는데 일반적으로 사용되고 있다. UML 대부분의 설계는 소프트웨어 시스템 구조의 설계에 초점을 맞추고 있다. 최근에는 aspect-oriented 설계와 같이 복잡한 소프트웨어 시스템을 설계하기 위한 부가적인 설계의 요구 사항들이 등장하고 있다. 본 논문에서 는 policy-driven 아키텍처의 동적인 양상을 연구한다. 다양한 어플리케이션 도메인에서 적용할 수 있는 policy-driven 관리 어플리케이션의 상단계에서의 모델링을 제안한다. 어플리케이션들의 많은 활동들을 관리하기 위해서, 같은 상황에서의 다른 자원들에게 정책(policies)과 함께 활동성과 유연성이 지원되어야 확장이 가능하다. 이러한 흐름에서, policy-driven 아키텍처의 동적인 양상을 보여주기 위해 메타 모델링 방법론을 연구하였다. 본 방법론에 기반으로 하여 본 논문에서는 policy-driven 관리 어플리케이션 영역에서의 메타모델링을 설립하였다.

• Asian Journal of Innovation and Policy
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• 제2권2호
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• pp.240-264
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• 2013

The study compares network structures that emerged in three inter-organisational projects set up under the MSC Malaysia initiative by the Government of Malaysia. These consortia are seen as policy-driven inter-organisational networks and, with data collected through interviews; the links among the organisations are mapped to gain an understanding of the structures that emerged in these networks. The findings provide lessons for other emerging countries that are embarking on similar projects i.e. cluster-oriented developments with policy-driven inter-organisational networks. These findings are seen as particularly useful when emerging countries invest in technology-related projects and invite multinational companies to work together with local firms.

• Nuclear Engineering and Technology
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• 제50권5호
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• pp.773-779
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• 2018

This study surveyed 137 policymakers and key stakeholders (e.g., employees of government agencies, academic institutions, nonprofit organizations, industry, and advocacy groups) involved in making decisions on nuclear energy policy, investigating how they differentially perceived the importance of scientific evidence in driving nuclear policy. We also identified the policy areas that each group of decision-makers are mostly concerned about and showed how such concerns might contextualize and ultimately shape their perceptions of science-driven policy.

• Environmental Engineering Research
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• 제21권1호
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• pp.74-83
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• 2016

The purpose of this study is to identify the driven factors affecting the changes in energy-related $CO_2$ emissions in Hebei Province of China from 1995 to 2013. This study confirmed that energy-related $CO_2$ emissions are correlated with the population, urbanization level, economic development degree, industry structure, foreign trade degree, technology level and energy proportion through an improved STIRPAT model. A reasonable and more reliable outcome of STIRPAT model can be obtained with the introducing of the Ridge Regression, which shows that population is the most important factor for $CO_2$ emissions in Hebei with the coefficient 2.4528. Rely on these discussions about affect abilities of each driven factors, we conclude several proposals to arrive targets for reductions in Hebei's energy-related $CO_2$ emissions. The method improved and relative policy advance improved pointing at empirical results also can be applied by other province to make study about driven factors of the growth of carbon emissions.

• KDI Journal of Economic Policy
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• 제43권1호
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• pp.29-52
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• 2021

The purpose of this paper is to measure the impact of the recent Korea-Japan trade dispute on the Korean economy using supply-driven input-output analysis. In July 2019, Japan announced the decision to tighten the export control of three materials which are indispensable in the manufacturing of semiconductors and electronic display panels. Japan's decision directly affects production in Korea's semiconductor and display sectors and is hence not a demand shock. For this reason, a standard demand-driven input-output analysis is not valid despite the fact that it can still be applied. The impact of Japan's decision on Korea's aggregate and individual sectors' gross output, GDP and employment were computed using both methods.

• STI Policy Review
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• 제3권2호
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• pp.79-91
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• 2012

With the globalisation of the world's economies and the increasing role of multinational corporations in the generation of knowledge, global research and development (R&D) activities in emerging countries are following a new trend. This paper describes case studies of two large companies and discussion of the motives (demand vs. supply) and tasks (demand-driven vs. supply-driven) of R&D activities outside their home country. This work is based on an analysis of four overseas R&D units of two Korean ICT companies - here, ICT refers to goods and services in the information technology and communication technology fields - in India and China. The research findings are as follows: (1) The overseas R&D activities of Korean ICT enterprises in emerging countries may be driven by a combination of demand and supply factors of host countries; and (2) Korean overseas R&D centres in emerging countries may need to carry out both demand- and supply-driven tasks in view of the overlap between demand and supply factors of the host countries. Based on the results of this research, the following policy implications can be drawn for encouraging more effective overseas R&D activities of Korean enterprises in emerging countries. First, the government needs to expand the support systems so that enterprises can manage local R&D centres more effectively and actively use the variety of local support systems and useful information. Second, the government needs to expand the support systems so that the overseas R&D centres of Korean enterprises revitalise collaborations with locally excellent universities and research institutions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.340-367
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• 2018

Storage services integration can be done for achieving high availability, improving data access performance and scalability while preventing vendor lock-in. However, multiple services environment management and interoperability have become a critical issue as a result of service architectures and communication interfaces heterogeneity. Storage federation model provides the integration of multiple heterogeneous and self-sufficient storage systems with a single control point and automated decision making about data distribution. In order to integrate diverse heterogeneous storage services into a single storage pool, we are proposing a storage service federation framework named BoxBroker. Moreover, an automated decision model based on a policy-driven data distribution algorithm and a service evaluation method is proposed enabling BoxBroker to make optimal decisions. Finally, a demonstration of our proposal capabilities is presented and discussed.

• Journal of Information Processing Systems
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• 제4권3호
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• pp.103-112
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• 2008

This paper proposes a policy adjuster-driven Grid workflow management system for collaborative healthcare platform, which supports collaborative heart disease diagnosis applications. To select policies according to service level agreement of users and dynamic resource status, we devised a policy adjuster to handle workflow management polices and resource management policies using policy decision scheme. We implemented this new architecture with workflow management functions based on policy quorum based resource management system for providing poincare geometrycharacterized ECG analysis and virtual heart simulation service. To evaluate our proposed system, we executed a heart disease identification application in our system and compared the performance to that of the general workflow system and PQRM system under different types of SLA.

• Current Photovoltaic Research
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• 제10권1호
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• pp.6-15
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• 2022

Climate change is among the most important issues facing mankind in modern society. However, global PV energy expansion has been driven mainly by OECD countries. We investigate the determinants of PV energy growth by panel data of selected OECD countries from 1991 to 2018. We investigate four categories of driving factors: socioeconomic, technological, country specific, and policy factors. The test results support that PV capacity growth is significantly driven by technology development and multidimensional environment policy factors. Socioeconomic factors such as CO₂, GDP, and electricity price are statistically significant on the growth of PV energy, too. Whereas, country-specific solar potential factor is the least related. As most of the socioeconomic factors are exogenous, we need to focus more on PV technology development and policy measures.

• 정보화정책
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• 제28권3호
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• pp.95-111
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• 2021

데이터 기반 정책의사결정시스템 구현을 목표로 현재 기획재정부는 관련 추진단을 구성하여 활발히 구축 중에 있다. 본 시스템은 현재 단순 재정행정업무 지원을 벗어나 데이터 기반의 재정업무가 가능하도록 구축 중이다. 미국은 증거 기반의 정책의사 결정법을 제정하여 관련 업무를 적극 추진 중이다. 우리나라도 작년부터 데이터기반 행정법이 시행되어 데이터 기반 행정업무를 할 수 있도록 법제도적 근거가 마련되었다. 차세대 예산회계시스템이 데이터 기반의 시스템으로 그 역할을 다하려면 많은 정책과 노력이 필요하다. 데이터 관리, 법제도, 관련 시스템 구축 등 다양한 부분에서 혁신과 변화가 필요하다. 이런 상황에서 우리나라보다 먼저 재정시스템을 구축하여 운영하고 있는 미국, 영국 등 세계 선진국의 재정시스템과 정책을 거버넌스 차원에서 비교 분석하는 것은 매우 시기적절하다고 볼 수 있다. 이들의 재정정보시스템을 비교 분석하여 차세대 예산회계시스템에 적용한다면 한층 더 나은 시스템이 될 것으로 기대한다. 본 연구에서는 미국, 영국, 프랑스, 캐나다 등 주요 선진국을 대상으로 데이터 거버넌스를 정책적, 시스템적, 법제도적, 추진체계, 서비스적 차원에서 비교 분석하였다. 그리고 결론에서는 디지털 대전환시대, 코로나19 등 최근 어려운 경제위기 환경에 대해 신속히 대처하고 국민이 원하는 국가재정정책시스템으로서의 역할과 방향도 제안하였다.