• Journal of Families and Better Life
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• v.10 no.2
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• pp.163-178
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• 1992

This study is focused on causual relationship analysis among the components of family resource management system based on a theory of Deacon and Firebaugh. The system of family resource management is consisted for the component of input like on objective resource and level of resource perception, the component of throughput like a behavior pattern of the family resource management, and the component of output like a degree of the family life satisfaction. The instrument for resource perception level, behavior pattern of family resource management and degree of life satisfaction were developed for this study, and main investigation was executed through 1st and 2nd pre-test. The 800 questionnaire were distributed by cluster sampling to the homemakers in Seoul. The final data used in this study were 703, and analyzed by Cronback's coefficient, factor analysis. frequency. percentage, regression analysis and path analysis, and teated with SAS PC+. Consequently , the findings of this study were accepted hypothesis I, II, II, IV.

• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.304-311
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• 2010

Korea National Forest Inventory System has been adopting different cluster plot design and new equations to estimate growing stock volumes since 2006. These changes have resulted in volume estimations which show some difference from previous ones. This study is to find out the source of such difference. For this, relevant data was collected from 80 plots of 20 cluster samples according to the cluster plot design applied to 4th and 5th National Forest Inventory. Then growing stock volumes were estimated by using current and previous individual tree volume equations respectively. An investigation was made to detect whether such difference in volume estimates was originated from the changes in cluster plot design or from using different volume equations. T-test results showed that the difference from changes in cluster plot design was negligible. Instead, changes in volume equations had statistically significant effects in volume estimation. Since the volume estimation by the 5th National Forest Inventory would bring overestimation by applying different volume equations, all the volume estimations made prior to 2006 would require necessary modifications for international reporting.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.6
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• pp.361-367
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• 2014

This paper introduces balancing energy and memory consumption for lifetime increase of wireless sensor network. In cluster-based wireless sensor network, sensor nodes adjacent of cluster heads have a tendency to deplete their own battery energy and cluster heads occupy memory space significantly. If the nodes close to region where events occur frequently consume their energy and memory fully, network might be destroyed even though most of nodes are still alive. Therefore, it needs to balance network energy and memory with consideration of event occurrence probability so that network lifetime is increased. We show a method of balancing wireless sensor network energy and memory to organize cluster groups and elect cluster heads in terms of event occurrence probability.

• KIISE Transactions on Computing Practices
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• v.23 no.8
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• pp.481-486
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• 2017

There are many scientists who want to perform experiments in a cloud environment, and pay-per-use services allow scientists to pay only for cloud services that they need. However, it is difficult for scientists to select a suitable set of resources since those resources are comprised of various characteristics. Therefore, classification is needed to support the effective utilization of cloud resources. Thus, a dynamic resource clustering method is needed to reflect the characteristics of the application that scientists want to execute. This paper proposes a resource clustering analysis method that takes into account the characteristics of an application in a hybrid cloud environment. The resource clustering analysis applies a Self-Organizing Map and K-means algorithm to dynamically cluster similar resources. The results of the experiment indicate that the proposed method can classify a similar resource cluster by reflecting the application characteristics.

• The KIPS Transactions:PartA
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• v.14A no.6
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• pp.357-362
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• 2007

In distributed systems like cluster systems, in order to get more performance improvement, the initial task placement system precisely estimates and correctly assigns the resource requirement by the process. The resource-based initial job placement scheme needs the prediction of resource usage of a task in order to fit it to the most suitable hosts. However, the wrong prediction of resource usage causes serious performance degradation in dynamic load balancing systems. Therefore, in this paper, to resolve the problem due to the wrong prediction, we propose a new load metric. By the new load metric, the resource-based initial job placement scheme can work without priori knowledge about the type of process. Simulation results show that the dynamic load balancing system using the proposed approach achieves shorter execution times than the conventional approaches.

• Journal of Information Processing Systems
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• v.14 no.2
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• pp.377-395
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• 2018

Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users' reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

• Journal of Korean Society of Rural Planning
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• v.12 no.2 s.31
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• pp.65-73
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• 2006

This study attempts to develop an interim evaluation system for the Integrated Rural Village Cluster Development Project(IRVCDP) which can secure its identity and sustainability, and induce its early settlement, and to derive plans for its steady progress. The evaluation system consists of three levels. The highest-order level is evaluation purposes, which describe IRVCDP's goals. They are expansion of income bases(EIB), improvement of living environments(ILE), strengthening of regional capabilities(SRC) and constructing effective project operation system(CEPOS). The second level is evaluation items, which each characterize the relevant evaluation purposes. The last level is evaluation indices, which observe achievement f3r evaluation purposes. 22 evaluation indices are selected to satisfy the purposes of this study through a brainstorming process and a survey on opinions of experts for those evaluation purposes and evaluation items which are derived from analyzing the IRVCDP's properties. The relative importance of the evaluation indices selected are determined through the AHP analysis. The most intriguing result from the AHP analysis is that strengthening of regional capabilities is found to be the most important one among evaluation purposes. It can be said that this result is parallel to a ultimate goal of the IRVCDP.

• Journal of Family Resource Management and Policy Review
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• v.9 no.2
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• pp.41-57
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• 2005

The purpose of this study was to explore various types of couples' time use and to investigate the characteristics of each type. The subject of the study consisted of 96 employed wives and their husbands and 215 unemployed wives and their husbands living in Seoul. The data were analyzed by descriptive statistics and cluster analysis using SAS 8.2 program. The major findings were as follows: The time use of wives and their husbands both on one weekday and one holiday was classified as personal time, paid work time, housework time, and free time. These 4 categories of time were basic elements to classify the types of couples' time use in the cluster analysis. As a result of the cluster analysis, four types of time use of couples were yielded. These were called as 'personal time oriented type', 'paid work time oriented type', 'housework time oriented type' and 'free time oriented type'.

• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.1
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• pp.59-67
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• 2015

Because reservoirs that supply irrigation water play an important role in water resource management, it is necessary to evaluate the vulnerability of this particular water supply resource. The purpose of this study is to provide water supply risk maps of agricultural reservoirs in South Korea using irrigation vulnerability model and cluster analysis. To quantify water supply risk, irrigation vulnerability indices are estimated to evaluate the performance of the water supply on the agricultural reservoir system using a probability theory and reliability analysis. First, the irrigation vulnerability probabilities of 1,346 reservoirs managed by Korea Rural Community Corporation (KRC) were analyzed using meteorological data on 54 meteorological stations over the past 30 years (1981-2010). Second, using the K-mean method of non-hierarchical cluster analysis and pre-simulation approach, cluster analysis was applied to classify into three groups for characterizing irrigation vulnerability in reservoirs. The morphology index, watershed area, irrigated area, and ratio between watershed and irrigated area are selected as the clustering analysis parameters. It is suggested that the water supply risk map be utilized as a basis for the establishment of risk management measures, and could provide effective information for a reasonable decision making on drought risk mitigation.

• Journal of Family Resource Management and Policy Review
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• v.4 no.1
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• pp.1-13
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• 2000

This study examined patterns and determinants of families’supplementary educational investment on children. By supplementary educational investment, it meant the amounts of money spent on children’s education other than regular formal schooling expenses. The data used were from the 「1996 Household Expenditure Survey」conducted by the National Statistical Office. The statistical methods employed were descriptive statistics, cluster analysis and logistic multiple regression analysis. Results of cluster analysis revealed five different patterns of family supplementary education expense with relatively even proportion of families allocated to each pattern. The five education expenditure patterns were arts education dominant; other education dominant; gymnastics·clerical·computer education dominant; college entrance exam preparation dominant; and private tutoring dominant. Results of logistic regression analysis showed that the possibility of being in a pattern affected by various family socioeconomic variables. Important factors affecting there patterns were children’s schooling stage, residence, and mother’s education.