• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.7
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• pp.1610-1623
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• 2013

In-network caching is a key component of information-centric networking (ICN) for reducing content download time, network traffic, and server workload. Data center network (DCN) is an ideal candidate for applying the ICN design principles. In this paper, we have evaluated the effectiveness of caching placement and replacement in DCN with butterfly-topology. We also suggest a new cache placement policy based on the number of routing nodes (i.e., hop counts) through which travels the content. With a probability inversely proportional to the hop counts, the caching placement policy makes each routing node to cache content chunks. Simulation results lead us to conclude (i) cache placement policy is more effective for cache performance than cache replacement, (ii) the suggested cache placement policy has better caching performance for butterfly-type DCNs than the traditional caching placement policies such as ALWASYS and FIX(P), and (iii) high cache hit ratio does not always imply low average hop counts.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.403-409
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• 2013

This paper review about big data policy and security issue of US government. It is introduced Big data R&D initiative strategy and plan, NITRD program, and big data strategy of government. It is presented operation environment of big data in US government, big data information for military operation, major research organization and topic, security guideline and so on.

• Journal of Distribution Science
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• v.14 no.11
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• pp.29-36
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• 2016

Purpose - Intense debate is occurring over support for farmers in Korea, specifically on the justification, policy design, and equality issues of the farm support programs. Given this debate, a new type of farm program in the US, a market flexible revenue program(the Average Crop Revenue Election, ACRE), is examined. ACRE stands in contrast to traditional programs that tie payments to price and have parameters that are fixed or change only infrequently. Research design, data, and methodology - Based on the ACRE program formulas, the potential payments are estimated by crop year, program crop and geographical area using the FSA acreage and payment rate data. Results - If all US farm program acres were in ACRE over the 2009-2013 crop years, payments would have totaled $7.95 billion or 1.2 percent of average market receipts for US crops. Enacting ACRE as a revenue program instead of a similarly-structured price-only program increased payments by $1.75 billion or 28 percent. Conclusions - Potential payments by ACRE largely reflected the distribution of the value of production across the program crops eligible for ACRE as well as across state geographical areas. If program parameters can be made acceptable and if data availability issues can be addressed, market flexible revenue programs offer a farm policy option that can address many of the concerns that have arisen over farm policy in Korea.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.53-68
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• 2015

This article aims to identify the quality factors of public data which have increased as a public issue; analyze the impact of users satisfaction in the perspective of Technology Acceptance Model (TAM), and investigate the effect of service satisfaction on the government's open policy of public data. This study is consistent with Total Data Quality Management (TDQM) of MIT, it focuses on three main qualities except Contextual Data Quality (CDQ) and includes seven independent variables : accuracy, reliability, fairness for Intrinsic Data Quality (IDQ), accessibility, security for Accessibility Data Quality (ADQ), Consistent representation and understandability for Representational Data Quality (RDQ). Basing on TAM, the research model was conducted to examine which factors affect to perceived usefulness, perceived ease of use, service satisfaction and how service satisfaction affects to the government's open policy of public data. The results showed that accuracy, fairness, understandability affect both perceived ease of use and perceived usefulness; while reliability, consistent representation, security, and accessibility affect only perceived ease of use. This article found that the influence of perceived ease of use on perceived usefulness and the influence of these two causes on service satisfaction in the perspective of TAM were significant and it was consistent with prior studies. The service satisfaction when using public data leads to the reliability of public data open policy. As an initial study on unstructured public data open policy, this article offered quality factors that pubic data providers should consider and also present the operation plan of public data open policy in the future.

• Journal of the Korean Solar Energy Society
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• v.39 no.6
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• pp.137-151
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• 2019

This study estimated the available renewable market potential based on Levelized Cost Of Electricity and then assessed the renewable derived energy self-sufficiency for the unit of local government in South Korea. To calculate energy self-sufficiency, 1 km gridded market renewable generation and local government scale of final energy consumption data were used based on the market costs and statistics for the recent three years. The results showed that the estimated renewable market potentials were 689 TWh (Install capacity 829 GW, 128 Mtoe), which can cover 120% of power consumption. 55% of municipalities can fully replace the existing energy consumption with renewable energy generation and the surplus generation can compensate for the rest area through electricity trade. However, it was confirmed that, currently, 47% of the local governments do not fully consider all renewable energy sources such as wind, hydro and geothermal in establishing 100% renewable energy. The results of this study suggest that energy planning is decentralized, and this will greatly contribute to the establishment of power planning of local governments and close the information gap between the central government, the local governments, and the public.

• Journal of Korean Public Health Nursing
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• v.22 no.1
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• pp.5-17
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• 2008

Purpose: To understand the dietary habits and factors influencing the dietary habits in adults of an urban community. Method: The data were collected via questionnaires that investigated dietary habits, health behaviors, health-related factors, and general characteristics. A total of 302 subjects were selected from those who had visited an urban public center over a 2-week period. The data of 294 subjects were analyzed using descriptive analysis, t-test, ANOVA, and multiple regression, after 8 questionnaire were excluded due to incomplete data. Results: The degree of dietary habits was in the middle range. The most positive dietary habit was 'intake fibers from vegetables, fruits, and cereals', followed by 'not enjoy salty food and salt' and 'eating breakfast everyday'. The significant predictors influencing dietary habits were age, present smoking behavior, perceived health status, and drinking frequency, and these variables accounted for 27.3% of the variance in the dietary habits score. Conclusion: Health care providers should focus on health promotion planning regarding dietary habits and other health-related behaviors in combination and use integrated strategies regarding the factors that influence dietary habits and other health-related behaviors.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.85-95
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• 2016

Recently, deep learning and machine learning have attracted considerable attention and many supporting frameworks appeared. In artificial intelligence field, a large body of research is underway to apply the relevant knowledge for complex problem-solving, necessitating the application of various learning algorithms and training methods to artificial intelligence systems. In addition, there is a dearth of performance evaluation of decision making agents. The decision making agent that can find optimal solutions by using reinforcement learning methods designed through this research can collect raw pixel data observed from dynamic environments and make decisions by itself based on the data. The decision making agent uses convolutional neural networks to classify situations it confronts, and the data observed from the environment undergoes preprocessing before being used. This research represents how the convolutional neural networks and the decision making agent are configured, analyzes learning performance through a value-based algorithm and a policy-based algorithm : a Deep Q-Networks and a Policy Gradient, sets forth their differences and demonstrates how the convolutional neural networks affect entire learning performance when using pixel data. This research is expected to contribute to the improvement of artificial intelligence systems which can efficiently find optimal solutions by using features extracted from raw pixel data.

• Asian Journal of Innovation and Policy
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• v.4 no.3
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• pp.381-396
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• 2015

Cyberinfrastructure is a research infrastructure that provides an environment in which research communities can get access to distributed resources and collaborate at unprecedented levels of computation, storage, and network capacity. The Worldwide LHC Computing Grid (WLCG) is a global collaborative project of computing or data centers that enables access to scientific data generated by the Large Hadron Collider (LHC) experiments at CERN. This case study analyzes the WLCG as a model of cyberinfrastructure in research collaboration. WLCG provides a useful case of how cyberinfrastructure can work in providing an infrastructure for collaborative researches under data-intensive paradigm. Cyberinfrastructure plays the critical role of facilitating collaboration of diverse and widely separated communities of researchers. Data-intensive science requires new strategies for research support and significant development of cyberinfrastructure. The sustainability of WLCG depends on the resources of partner organizations and virtual organizations at international levels, essential for research collaboration.

• The Journal of Industrial Distribution & Business
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• v.14 no.4
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• pp.11-21
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• 2023

Purpose: The purpose of this study is to explore how to apply marketing and foster public policy for better establishment of the sharing economy in a society. In particular, this study investigates the following: i) how citizens understand definition and scope of the sharing economy; ii) how citizens actually use and perceive sustainability of the sharing accommodation? iii) how factors such as policy preparation for marketing to the public, policy preparation for regulations, and perceived sustainable growth affect overall attitude to accommodation sharing?; iv) how does overall attitude affect satisfaction and intention to use? Research design, data and methodology: This study conducted an online survey with the assistance of a well-known research firm and applied secondary data. This study applied t-test, factor, ANOVA, and regression analysis for analysis. Results: The results found that policy preparation for marketing to the public, policy preparation for regulation, and perceived sustainable growth of the accommodation sharing significantly affect overall attitude toward accommodation sharing. Conclusions: The results provide managerial and policy implications. The sharing economy will be established in a society with better understanding of the meanings and scopes by citizens. Better policies should be prepared and promoted to the public to increase awareness for sustainable growth of accommodation sharing.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.893-902
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• 2021

The paper examines the impact of corporate governance (CG), on dividend policy (DP) of enterprises in Vietnam. The paper studies the impact of CG on DP of businesses listed on Vietnam's stock exchange in the period 2008-2018 with 2,937 observations. The data of these companies is collected from the financial statements of businesses and Vietstock data sets, as well as aggregated from the data published on some reputable securities websites. The study used GLS regression method for data collected at listed companies in Vietnam in the period of 2008-2018. The research results have found that CG, the chairman of the board of directors (BOD), and the managing director have a negative effect on the DP. Specifically, companies with strong BODs tend to pay low dividends. At the same time, research shows that factors such as profitability, financial leverage, firm size, and investment opportunities affect DP. This result underscores the importance of corporate governance (both internal and external) to the income distribution decision and provides policy implications for investors and company executives. The study finds solid evidence that alternative theory explains better the relationship between corporate governance and dividend policy. Accordingly, companies with weak corporate governance will pay more dividends.