• Journal of Nuclear Fuel Cycle and Waste Technology
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• v.1 no.1
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• pp.1-7
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• 2013

The safe management of radioactive waste is a national task required for sustainable generation of nuclear power and for energy self-reliance in Korea. Since the initial introduction of nuclear power to Korea in 1978, rapid growth in nuclear power has been achieved. This large nuclear power generation program has produced a significant amount of radioactive waste, both low- and intermediate-level waste (LILW) and spent nuclear fuel (SNF); and the amount of waste is steadily growing. For the management of LILW, the Wolsong LILW Disposal Center, which has a final waste disposal capacity of 800,000 drums, is under construction, and is expected to be completed by June 2014. Korean policy about how to manage the SNF has not yet been decided. In 2004, the Atomic Energy Commission decided that a national policy for SNF management should be established considering both technological development and public consensus. Currently, SNF is being stored at reactor sites under the responsibility of plant operator. The at-reactor SNF storage capacity will run out starting in 2024. In this paper, the fundamental principles and steps for implementation of a Korean policy for national radioactive waste management are introduced. Korean practices and prospects regarding radioactive waste management are also summarized, with a focus on strategy for policy-making on SNF management.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.3
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• pp.69-78
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• 2012

Reduction of power consumption has been a major issue and an interesting challenge to maximize the lifetime of wireless sensor networks. We investigate the practical meaning of N-policy in queues as a power saving technique in a WSN. We consider the N-policy of a finite M/M/1 queue. We formulate the optimization problem of power consumption considering the packet loss probability. We analyze the trade-off between power consumption and the packet loss probability and demonstrate the operational characteristics of N-policy as a power saving technique in a WSN with various numerical examples.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.63-73
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• 2008

The present study attempted to explore effective scanning and monitoring in process of risk management on agri-marine products distribution policy. The interest public's group interests clash in accordance with theme for issue on marking policy. For executing a better systematic scanning and monitoring on actual affairs of marketing, selecting information personnel, gathering and analysing information, issue and risk management and their valuation with ongoing and simultaneously. Especially, In order to explore effective scanning and monitoring as a model of risk management, the study attempted to analyze within and without environment of marketing, to analyze issue management strategy, to evaluate issue activity for likelihood and impact, risk cycle analysis, interest public's group concerned, grade of interest public's group threatened(power, legitimacy, willingness), rapport(staying close, credibility, meeting expectation). And the study make an ongoing observation progress of subjects, and the serious subjects need have made an close observation. The study suggested to establish friendly relationship between organization and interest public's group, and to regularly accomplish two-way symmetric communication.

• Health Policy and Management
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• v.5 no.2
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• pp.1-17
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• 1995

This paper porports to explicate the factors determining the scope of public health in advanced capitalist countries. A few studies have veen conducted for such a purpose, yet even these studies show the deficiency of failing to consider a very important factor : the influence of medical profession. Since medical profession has played a significant role in the health policymaking, it is necessary to incorporate the hypothesis that assumes the causal links between the differing medical professional power and the vrying scope of public health. Following this view, this paper examined the various hypothese, including the power of medical profession, and found that the variables related to medical professional power as well as social democratic perspectives are its significant factors. In particular, our result shows that the power of medical profesion is the most important determinant, thereby supporting the hypothesis developed in this paper.

• The Journal of Economics, Marketing and Management
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• v.4 no.1
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• pp.9-22
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• 2016

This study tried to examine how interdependence, communication, and the exercise of power in cosmetics distribution channel would affect satisfaction. In this study we investigated the effects of their communication and the exercise of noncoercive power of department store (or mart). We conducted with managers of the shops which were entered to department store (or mart). 131 copies were collected and 119 copies were used for analysis after the exclusion of 12 copies. Brand image and sales policy influenced satisfaction, but customers were not statistically significant. In addition, communication in distribution path had the moderating effect on the relationship between interdependence and satisfaction, and on the relationship between interdependence and noncoercive power. Sales policy and brand image in the relationship between department store(or mart) and the shops opened inside are critical factors for satisfaction, but customers are highly likely to become a factor with different meaning.

• Management & Information Systems Review
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• v.29 no.3
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• pp.23-50
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• 2010

This study is that the manufacturer's sales policy power appeared on the source of local distributors through the sale willingness impact on research for coexistence between the manufacturer and dealer sales for developing policy. Dealers in terms of the sale of regional sales willingness says "manufacturers and retailers to connect to the regional distribution on the path to regional sales representative for manufacturers based on trust companies that supply products or products manufactured by local retailers for about a unilateral will sale whether the continued willingness and indicates the degree of business". This study topics are the results of this measure will sell a total of 24 entries are four factors. In variety sales policy of each power source, First, sales policy in Reward Power, compensatory power as the manager of promotion support, sales support and sales activities will significantly impact respectively. Second, sales policy of Coercive Power, reduction of credit limits act as an element of discontent and the sales will appear in the negative hypothesis of the influence was partially supported. Third, sales policy in Referent Power, the information trust, the most significantly impact of trade policy, respectively. Fourth, sales policy in Professional Power, delay time delivery of goods, sales of our product and sales knowledge will have a significantly effect appear to be related.

• ETRI Journal
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• v.30 no.3
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• pp.469-479
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• 2008

This study analyzes factors affecting the competitiveness of broadband over power line communication (BPLC) and predicts demand for the service, based on quantitative information about consumer preferences drawn from a survey of Korean consumers. Findings from the estimation suggest that, although consumers value some beneficial features of BPLC, to be competitive the speed and stability of its data transmission needs to be improved. Moreover, on the basis of a market simulation, we expect BPLC to occupy only a small portion of Korea's Internet access market in the future, a finding we expect would hold true for other developed countries whose Internet access markets are already mature.

• Journal of Intelligence and Information Systems
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• v.6 no.1
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• pp.73-82
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• 2000

This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.

• Journal of Communications and Networks
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• v.18 no.4
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• pp.540-550
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• 2016

Since energy efficiency has become a significant concern for network infrastructure, next-generation network devices are expected to have embedded advanced power management capabilities. However, how to effectively exploit the green capabilities is still a big challenge, especially given the high heterogeneity of devices and their internal architectures. In this paper, we introduce a hierarchical power management architecture (HPMA) which represents physical components whose power can be monitored and controlled at various levels of a device as entities. We use energy aware state (EAS) as the power management setting mode of each device entity. The power policy controller is capable of getting information on how many EASes of the entity are manageable inside a device, and setting a certain EAS configuration for the entity. We propose the optimal local control policy which aims to minimize the router power consumption while meeting the performance constraints. A first-order Markov chain is used to model the statistical features of the network traffic load. The dynamic EAS configuration problem is formulated as a Markov decision process and solved using a dynamic programming algorithm. In addition, we demonstrate a reference implementation of the HPMA and EAS concept in a NetFPGA frequency scaled router which has the ability of toggling among five operating frequency options and/or turning off unused Ethernet ports.

• Nuclear Engineering and Technology
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• v.49 no.5
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• pp.1090-1094
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• 2017

The determinants of the public's nuclear power acceptance have received considerable attention as decisive factors regarding nuclear power policy. However, the contingency of the relative importance of different determinants has been less explored. Building on the literature of psychological distance between the individual and the object, the present study demonstrates that the relative effects of different types of perceived risks regarding nuclear power generation differ across acceptance targets. Using a sample of Korea, our results show that, regarding national acceptance of nuclear power generation, perceived risk from nuclear power plants exerts a stronger negative effect than that from radioactive waste management; however, the latter exerts a stronger negative effect than the former on local acceptance of a nuclear power plant. This finding provides implications for efficient public communication strategy to raise nuclear power acceptance.