• Journal of Communications and Networks
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• v.16 no.3
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• pp.293-300
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• 2014

As energy harvesting communication systems emerge, there is a need for transmission schemes that dynamically adapt to the energy harvesting process. In this paper, after exhibiting a finite-horizon online throughput-maximizing scheduling problem formulation and the structure of its optimal solution within a dynamic programming formulation, a low complexity online scheduling policy is proposed. The policy exploits the existence of thresholds for choosing rate and power levels as a function of stored energy, harvest state and time until the end of the horizon. The policy, which is based on computing an expected threshold, performs close to optimal on a wide range of example energy harvest patterns. Moreover, it achieves higher throughput values for a given delay, than throughput-optimal online policies developed based on infinite-horizon formulations in recent literature. The solution is extended to include ergodic time-varying (fading) channels, and a corresponding low complexity policy is proposed and evaluated for this case as well.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.97-111
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• 2016

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

• Journal of Information Processing Systems
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• v.4 no.3
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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.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.11a
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• pp.213-222
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• 2004

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.3
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• pp.217-236
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• 2013

As the information needs in civil society is getting diverse, the interest in local policy process based on the characteristics of local communities, especially in local policy implementation is growing. However, research in library and information policy has focused rather on policy alternatives than policy process in Korea. In this study, we analyze the policy implementation in "the First Library in my Life" policy in Kyeonggi province with the framework of the Street-Level Bureaucracy Model by Michael Lipsky. In the analysis, we attempt to identify factors in the policy implementation, to examine the usefulness of the model into the situation of Korean library policy, and to suggest major considerations in the policy implementation in Korean public libraries for successful policy implementation. From the results, the usefulness of the model is examined and the need of considering indirect socio-economic factors is suggested.

• STI Policy Review
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• v.8 no.2
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• pp.23-48
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• 2017

This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.

• The KIPS Transactions:PartC
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• v.12C no.2 s.98
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• pp.289-300
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• 2005

This paper proposed an analytical framework to compare and model the policy-based network management; centralized and distributed typed model. Policy-based network is introduced in various application fields, and a policy framework can offer different processing performance according to application. Therefore, we evaluated the performance and extensibility of each PBNM model when we apply the policy process to the models. The evaluated measurement metrics are policy provisioning time, traffic occurrence amount, PDP processing rate, and global conflict detection in qualitative simulation. The results show that the suitable structure is required according to the analysis for the careful application characteristics, when PBNM is adopted. The modeling framework presented in this paper is intended to quantify the merits and demerits among the currently suggested PBNM models.

• Health Policy and Management
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• v.25 no.2
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• pp.129-139
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• 2015

Background: Policy network theory was proved to be an appropriate analytic tool for the current social welfare policy making process. This study aimed to analyze policy making process related to the nurse expansion and policy output while focusing on the interactions and activities among various policy actors. Methods: In this study, we used reports related to the need for expansion of nursing personnel journals, dissertations, newspaper articles, for hearings and debate policies for securing nurse data, and interviews. We examined three components of policy network, that is, policy actors, interactions, linkage of interest. Results: For that to expand the nurse before the 2000s in expanding the supply of medical supplies have been conducted without much disagreement among policy actors under the government's initiative. However, there was lacked a close relationship between the expanding supply of nurses and inaccurate analysis of supply and demand. As the policy is applied between the various policy actors' needs and claims, conflict was intensified and many policy options had been developed. Government only took a role as a coordinator among policy actors in the 2000's. Also, it was difficult to find sufficient and clear evidence that policy-making process based on fair judgment. Conclusion: Therefore, it is urgently required to determine the policy through a social consensus to address the appropriate policy means and the process by correct analysis of the policy issues.

• Journal of Soil and Groundwater Environment
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• v.22 no.5
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• pp.48-62
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• 2017

Korea and other countries have made various efforts to preserve soil. During the past several decades, Korea has implemented various policies on soil conservation practices; however, those policies have often lacked consideration of human and ecosystem risk management. while other countries have practiced various policies closely related to risk-based management for contaminated sites. Therefore, there is a great need for a paradigm shift of policy to better manage contaminated sites in risk-based strategies, while applying different management plans for soil and groundwater. In addition, the new policies should be administered with provision to improve soil health and related functions in ecosystem. This study has reviewed the trend in relevant policies in Korea and foreign countries to suggest the future policy directions for contaminated site management in Korea. For better management of contaminated sites, coherent policy that could complement the law, system, and relevant technology is required.

• International Journal of Reliability and Applications
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• v.1 no.1
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• pp.27-38
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• 2000

In a recent paper Iskandar ＆ Sandoh (1999) studied an opportunity-based age replacement policy for a system which has a warranty period (0,S]. When the system fails at age x $\leq$ S a minimal repair is performed. If an opportunity occurs to the system at age x, S $\leq$ x $\leq$ T, we take the opportunity with probability p to preventively replace the system, while we conduct a corrective .replacement when its fails in (S,T). Finally, if its age reaches T, we perform a preventive replacement, Under this policy the design variable is T. For the case when opportunities occur according to a homogeneous Poisson process, the long-run average cost of this policy was formulated and studied analytically by Iskandar & Sandoh (1999). The same problem is here analysed by using a graphical technique based on scaled TTT-transforms. This technique gives, among other things, excellent possibilities for different types of sensitivity analysis. We also extend the discussion to the situation when we have to estimate T based on times to failure.