• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1164-1183
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• 2019

The rapid development of cloud computing and high requirements of operators requires strong support from the underlying Data Center Networks. Therefore, the effectiveness of using resources in the data center networks becomes a point of concern for operators and material for research. In this paper, we discuss the online virtual-cluster provision problem for multiple tenants with an aim to decide when and where the virtual cluster should be placed in a data center network. Our objective is maximizing the total revenue for the data center networks under the constraints. In order to solve this problem, this paper divides it into two parts: online multi-tenancy scheduling and virtual cluster placement. The first part aims to determine the scheduling orders for the multiple tenants, and the second part aims to determine the locations of virtual machines. We first approach the problem by using the variational inequality model and discuss the existence of the optimal solution. After that, we prove that provisioning virtual clusters for a multi-tenant data center network that maximizes revenue is NP-hard. Due to the complexity of this problem, an efficient heuristic algorithm OMS (Online Multi-tenancy Scheduling) is proposed to solve the online multi-tenancy scheduling problem. We further explore the virtual cluster placement problem based on the OMS and propose a novel algorithm during the virtual machine placement. We evaluate our algorithms through a series of simulations, and the simulations results demonstrate that OMS can significantly increase the efficiency and total revenue for the data centers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.161-163
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• 2021

This urban centralization is expected to develop rapidly, with 75% of the population living in the city by 2035. Large cities are becoming unsustainable due to side effects such as environmental pollution, severe traffic jams, excessive energy depletion, and destruction of the natural ecosystem. In addition, the happiness index of citizens of large cities is also falling because of high crime rates and safety accidents, the work-life imbalance caused by inequality and polarization, and overly competitive education. To solve this problem, Smart City, an IT-based future city model, was born. The Korean government is also actively attempting to improve urban competitiveness and promote sustainable development through efficient construction and operation of smart cities as a national focus project. To support the effort, we review the basic directions and strategies of Sejong City's Smart City service infrastructure based on the comprehensive national land plan, Smart City plan, and Smart City strategy plan.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.3 no.1 s.4
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• pp.45-52
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• 2004

There are many cities installing ITS(Intelligent Transportation Systems) and running TMC(Trafnc Management Center) to improve mobility and safety of roadway transportation by providing roadway information to drivers. There are many devices in ITS which collect real-time traffic data. We can obtain many valuable traffic data from the devices. But it's impossible to avoid missing traffic data for many reasons such as roadway condition, adversary weather, communication shutdown and problems of the devices itself. We couldn't do any secondary process such as travel time forecasting and other transportation related research due to the missing data. If we use the traffic data to produce AADT and DHV, essential data in roadway planning and design, We might get skewed data that could make big loss. Therefore, He study have explored some imputation techniques such as heuristic methods, regression model, EM algorithm and time-series analysis for the missing traffic volume data using some evaluating indices such as MAPE, RMSE, and Inequality coefficient. We could get the best result from time-series model generating 5.0$\%$, 0.03 and 110 as MAPE, Inequality coefficient and RMSE, respectively. Other techniques produce a little different results, but the results were very encouraging.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.2
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• pp.117-128
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• 2001

In order to achieve optimal retrieval, i.e., to find the best match to a query according to a certain similarity measure, the exhaustive search should be performed literally for all the images in a database. However, the straightforward exhaustive search algorithm is computationally expensive in large image databases. To reduce its heavy computational cost, this paper presents a fast exhaustive multi-resolution search algorithm based on image database clustering. Firstly, the proposed algorithm partitions the whole image data set into a pre-defined number of clusters having similar feature contents. Next, for a given query, it checks the lower bound of distances in each cluster, eliminating disqualified clusters. Then, it only examines the candidates in the remaining clusters. To alleviate unnecessary feature matching operations in the search procedure, the distance inequality property is employed based on a multi-resolution data structure. The proposed algorithm realizes a fast exhaustive multi-resolution search for either the best match or multiple best matches to the query. Using luminance histograms as a feature, we prove that the proposed algorithm guarantees optimal retrieval with high searching speed.

• Korea Journal of Hospital Management
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• v.17 no.3
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• pp.23-36
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• 2012

Objectives : The coverage of Korean National Health Insurance is limited to basic level. Korean government encourages private health insurance for covering medical securities. So, many studies examined the determinants of purchasing private health insurance. However, 11% of Korean population is older than 65 in 2011. Considering the elderly is important to establish a health policy. The aim of this study is to examine factors determining the purchase of private health insurance among middle-aged and elderly Korean adults. Methods : We used the second Korean Longitudinal Study of Ageing (KLoSA), selected 8,688 sample of the aged 47 or older for the analysis. KLoSA collected information on demographic characteristics, income, health- related factors. KLoSA data include in the number of outpatient, inpatient, oriental hospital visit, dental clinic visit for two years. Logistic regression was used to examine the relationship between the determinants of purchasing private health insurance and the factors which include age, gender, education, residential district, marital status, smoking, drinking, physical exercise, economic activity status, national health insurance type, income, the number of chronic disease, and the number of outpatient, inpatient, oriental hospital visit, dental clinic visit for two years. Results : People who were older, did not live in a city, had higher IADL, currently drunk alcohol, did exercise regularly and had chronic diseases more than three were inclined not to purchase private health insurance. Females, the married, well-educated, past & currently smokers, the employed, high income earners, national health insurers, metropolitan citizens and someone who got high MMSE were more likely to purchase private health insurance. The more people experienced outpatients, inpatients, dental clinics and Chinese medicine clinics, the more private health insurance was purchased. The elderly people over 75 had more private health insurance than the aged 65-74. The strongest factors for private health insurance is gender, and economic status such as income. Conclusion : In this study, we found healthy-high income people were more likely to purchase private health insurance. In contrast, unhealthy-low income and older people did not. The economic factors were strongly related with private health insurance in aged over 75. These mean inequality exists in the using private health insurance. Therefore, the government should consider vulnerable social group before expanding private health insurance.

• Journal of Preventive Medicine and Public Health
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• v.51 no.2
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• pp.83-91
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• 2018

Objectives: One of the main objectives of the Targeted Subsidies Law (TSL) in Iran was to improve equity in healthcare financing. This study aimed at measuring the effects of the TSL, which was implemented in Iran in 2010, on equity in healthcare financing. Methods: Segmented regression analysis was applied to assess the effects of TSL implementation on the Gini and Kakwani indices of outcome variables in Iranian households. Data for the years 1977-2014 were retrieved from formal databases. Changes in the levels and trends of the outcome variables before and after TSL implementation were assessed using Stata version 13. Results: In the 33 years before the implementation of the TSL, the Gini index decreased from 0.401 to 0.381. The Gini index and its intercept significantly decreased to 0.362 (p<0.001) 5 years after the implementation of the TSL. There was no statistically significant change in the gross domestic product or inflation rate after TSL implementation. The Kakwani index significantly increased from -0.020 to 0.007 (p<0.001) before the implementation of the TSL, while we observed no statistically significant change (p=0.81) in the Kakwani index after TSL implementation. Conclusions: The TSL reform, which was introduced as part of an economic development plan in Iran in 2010, led to a significant reduction in households' income inequality. However, the TSL did not significantly affect equity in healthcare financing. Hence, while measuring the long-term impact of TSL is paramount, healthcare decision-makers need to consider the efficacy of the TSL in order to develop plans for achieving the desired equity in healthcare financing.

• Journal of the Korean Geographical Society
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• v.45 no.4
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• pp.478-501
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• 2010

The purpose of this study is to understand spatial economic inequalities under the framework of the dynamics of economic spaces in relation to the four global megatrends: globalization, knowledge-based economy, information society, and the service world. The international inequalities in East Asia, as well as inter-regional inequalities within Japan, Korea, and Thailand were analyzed. The variables related to the four megatrends, as a whole, have clearly explained the variations in international inequalities in East Asia, as well as the inter-regional inequalities within a nation. The individual impacts of the variables on spatial inequalities are, however, significantly different depending on the spatial scale of analysis and national characteristics. Overall, there has been a convergence trend of international per capita GNI (Gross National Income) in East Asian nations, while both divergent and convergent trends are evident at the regional scale within a nation. Two global oil crises in the 1970s and the East Asian financial crisis in the late 1990s resulted in the discontinuity of the general convergence trend, and have led to the increase of international and inter-regional inequalities in economic activities. This suggests that although the effect of the global crisis differs in each country, in general, the economies of peripheral countries and regions are more vulnerable during a global economic crisis.

• Journal of KIISE:Databases
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• v.28 no.4
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• pp.643-654
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• 2001

This paper discusses an effective processing of similarity search that supports time warping in large sequence database. Time warping enables finding sequences with similar patterns even when they are of different length, Previous methods fail to employ multi-dimensional indexes without false dismissal since the time warping distance does not satisfy the triangular inequality. They have to scan all the database, thus suffer from serious performance degradation in large database. Another method that hires the suffix tree also shows poor performance due to the large tree size. In this paper we propose a new novel method for similarity search that supports time warping Our primary goal is to innovate on search performance in large database without false dismissal. to attain this goal ,we devise a new distance function $D_{tw-Ib}$ consistently underestimates the time warping distance and also satisfies the triangular inequality, $D_{tw-Ib}$ uses a 4-tuple feature vector extracted from each sequence and is invariant to time warping, For efficient processing, we employ a distance function, We prove that our method does not incur false dismissal. To verify the superiority of our method, we perform extensive experiments . The results reveal that our method achieves significant speedup up to 43 times with real-world S&P 500 stock data and up to 720 times with very large synthetic data.

• Journal of the Korean Society of Food Culture
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• v.36 no.1
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• pp.92-102
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• 2021

There is little information on the nutrient intake according to the city size and small town in Korean elderly. This study analyzed the nutritional consumption of older people in metropolitan, middle and small cities, and rural areas according to four income levels. The recent data from the 2016~2018 Korean National Health and Nutrition Survey, Centers for Disease Control and Prevention were used. The final analysis included 4,325 individuals (Male: 1,856, Female: 2,469) over 65 years old. Multivariable regression with a complex sample design was conducted to compare the nutrient intake among the groups. In a comparison within regions, the nutrition status of the elderly in small towns was more vulnerable than metropolitan and middle & small cities. The energy intakes were similar between the groups. The carbohydrate intake of middle & small cities was significantly higher than the other regions. The intake of other nutrients in metropolitan and middle & small cities appeared to be higher than in rural areas. The number of nutrients with statistical significance between low and high-income levels were 19 in metropolitan, 11 in middle & small cities, and 5 in rural areas. Each contribution of carbohydrate, fat, and protein to the total energy intake was lower in the low-income level than the high-income level in metropolitan and middle & small cities. On the other hand, in rural areas, only the contribution of protein to energy intake was lower in the low-income level than the high-income level. Cities with higher levels of urbanization had more severe nutritional inequality in relation to the income level. There was also nutritional inequality present in rural areas but it was to a lesser extent. Moreover, the generally low level of nutrient intake was problematic in rural areas. These findings could be used as fundamental evidence for developing community nutritional policies for the elderly.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.71-78
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• 2021

The relevance of research provides the necessity to identify the basic problems in the public governance sphere and information technology relations, forasmuch as understanding such interconnections can indicate the consequences of the development and spreading information technologies. The purpose of the research is to outline the issues of applying information technologies in public governance sphere. 500 civil servants took part in the survey (Ukraine). A two-stage study was conducted in order to obtain practical results of the research. The first stage involved collecting and analyzing the responses of civil servants on the Mentimeter online platform. In the second stage, the administrator used the SWOT-analysis system. The tendencies in using information technologies have been determined as follows: the institutional support development; creation of analytical portals for ensuring public control; level of accountability, transparency, activity of civil servants; implementation of e-government projects; changing the philosophy of electronic services development. Considering the threats and risks to the public governance system in the context of applying information technologies, the following aspects generated by societal requirements have been identified, namely: creation of the digital bureaucracy system; preservation of information and digital inequality; insufficient level of knowledge and skills in the field of digital technologies, reducing the publicity of the state and municipal governance system. Weaknesses of modern public governance in the context of IT implementation have been highlighted, namely: "digitization for digitalization"; lack of necessary legal regulation; inefficiency of electronic document management (issues caused by the imperfection of the interface of reporting interactive forms, frequent changes in the composition of indicators in reporting forms, the desire of higher authorities to solve the problem of their introduction); lack of data analysis infrastructure (due to imperfections in the organization of interaction between departments and poor capacity of information resources; lack of analytical databases), lack of necessary digital competencies for civil servants. Based on the results of SWOT-analysis, the strengths have been identified as follows: (possibility of continuous communication; constant self-learning); weaknesses (age restrictions for civil servants; insufficient acquisition of knowledge); threats (system errors in the provision of services through automation); opportunities for the introduction of IT in the public governance system (broad global trends; facilitation of the document management system). The practical significance of the research lies in providing recommendations for eliminating the problems of IT implementation in the public governance sphere outlined by civil servants..