• Fire Science and Engineering
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• v.30 no.6
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• pp.130-136
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• 2016

A university needs to analyze and improve its curricula with the perspective of the consumer to develop a syllabus for the training of industry-demand customized human resources. Accordingly, this paper surveyed the demand of fire-related industry workers to evaluate the major fitness of the curriculum of fire risk prediction and assessment and carried out descriptive statistical analysis, factor analysis, cluster analysis, and one-way ANOVA based on the results. According to the analysis, fire-related industry workers reported that the curriculum of fire risk prediction and assessment is suitable for majors. In addition, they were greatly aware of the necessity of basic major and common major subjects among subjects of fire risk prediction and assessment. The results of this analysis will provide the basic data to improve the curriculum continuously in the future.

• Environmental and Resource Economics Review
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• v.28 no.3
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• pp.437-465
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• 2019

In this study, we propose a new method to forecast long-term energy demand in Korea. Based on Chang et al. (2016), which models the time varying long-run relationship between electricity demand and GDP with a function coefficient panel model, we design several schemes to retain objectivity of the forecasting model. First, we select the bandwidth parameters for the income coefficient based on the out-of-sample forecasting performance. Second, we extend the income coefficient using the functional principal component analysis method. Third, we proposed a method to reflect the elasticity change patterns inherent in Korea. In the empirical analysis part, we forecasts the long-term energy demand in Korea using the proposed method to show that the proposed method generates more stable long term forecasts than the existing methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.213-217
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• 2003

An Ad-Hoc networks is a set of wireless mobile host which forms temporary networks without any concentrated controls or any helps of standard support services. Mobile host' routers are operated by their mobile hosts without fixed routers, therefore, the original routing protocol algorithm are not effective. There are two major Protocols in Ad-Hoc Network. A Table-Driven algorithm and an On-Demand, but the latter is presented more effective. We try to compare and analyze the performances of each protocol's host in this thesis.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.145-147
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• 2002

Recently, according to business conditions ;in domestic are beginning to liven up, there is a lively discussion about new housing construction around the center of the Metropolitan area. It is considerable difficult for estimation of power demand exactly to expand power facilities in these area. However. criterion thesis for estimation of power demand which has been applied in present condition is already passed through the 10 years, the reliability to calculate power demand in these area go down far away. Accordingly, it is raised for methodology to evaluate new type of power demand in new housing development in domestic. This paper presents new criterion thesis for estimation of power demand in new housing development through survey and analysis in example area.

• Journal of Information Technology Applications and Management
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• v.24 no.2
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• pp.81-96
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• 2017

Forecasting long-term mobile service demand is inevitable to establish an effective frequency management policy despite the lack of reliability of forecast results. The statistical forecasting method has limitations in analyzing how the forecasting result changes when the scenario for various drivers such as consumer usage pattern or market structure for mobile communication service is changed. In this study, we propose a dynamic model of the mobile communication service market using system dynamics technique and forecast the future demand for long-term mobile communication subscriber based on the dynamic model, and also experiment on the change pattern of subscriber demand under various scenarios.

• Fashion & Textile Research Journal
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• v.12 no.3
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• pp.372-380
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• 2010

The purpose of this study were to investigate a preference and demand performance of UV protective hat for outdoor sports activities. Data collected from 259 adults from survey were analyzed by frequence analysis, crosstabs, t-test, and ANOVA using SPSS 17.0. The results are as follows. A demand performanc of UV protective hats were a demand performance for designs, colors, fabrics, lightness, UV protection, and easy care. It showed that the respondents worn the hats for skin health and didn't wear for sun block. The demand performance of UV protective hat showed difference according to gender and age. The favorite type of UV protective hat was cap, and there was no difference between young and old age. Male preferred the cap styles, while female preferred the wide brim styles for UV protection. The preferred fiber contents of the respondents were cotton and functional fiber.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.11
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• pp.1956-1963
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• 2010

Studies on the development of various energy management programs and real-time bidirectional information infrastructures have been actively conducted to promote the reduction of power demands and CO2 emissions effectively. In the conventional energy management programs, the demand response program that can transition or transfer the power use spontaneously for power prices and other signals has been largely used throughout the inside and outside of the country. For measuring the effect of such demand response program, it is necessary to exactly estimate short-term loads. In this study, the power consumption patterns in both individual and group consumers were analyzed to estimate the exact short-term loads, and the relationship between the actual power consumption and seasonal factors was also analyzed.

• Korean Journal of Health Education and Promotion
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• v.22 no.2
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• pp.195-213
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• 2005

Objectives: This study aims to determine fostering stress and mental health state that mothers of handicapped children perceive as primary care givers and to analyze their demand for information assistance in order to release their stress so that it can provide materials that contribute to establishment of assistance system for families with handicapped children. Methods: The research subjects were 340 mothers whose children went to a nursery for special children, 3 general nurseries and 6 special schools in Daegu, and the data were collected using structures questionnaires. The survey analyzed mothers' fostering stress, their demand for fostering information assistance, children's daily activity abilities. Component concepts of each scale was validated by adopting confirmatory factor analysis, and factors affecting demand for fostering information assistance were analyzed by adopting covariance structural analysis. Results: Younger mothers tend to have higher demand for information, and mothers with younger children or children with double handicaps also have higher demand. Mothers under 30 have the lowest demand for public health and medical care assistance and for home and community life assistance, while mothers with children with physical handicaps have the highest. The validity of component concepts was verified by categorizing as cognitive structure models fostering stress, information demand, children's daily activity abilities, and their appropriateness was evaluated through confirmatory factor analysis using structural equation modelling. And then, GFI (more than 0.9), CFI (more than 0.9), TLI (more than 0.9) and RMSAE (less than 0.08) were used to evaluate the appropriateness. It was found that all the component concepts are valid, as every item is within appropriate range. The result of analyzing information demand demonstrated that children's handicap levels significantly affect their mothers' mental health, while fostering stress significantly affect mothers' metal health, information demand. As well, it was confirmed that mothers' mental health has a significant effect on information demand. Conclusions: Therefore, to reduce special children's mothers' uncertainty, helplessness and fostering burden, it is necessary to provide them with information on children's challenges, development and fostering and to offer them quality public health, medical care and welfare assistance along with family and local community life assistance.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.149-157
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• 2008

Rapid urbanization causes a variety of transportation problems, including parking. Then transportation engineers would get involved in trying to solve parking problem. Estimation of parking demand is essential for finding a solution to the parking problem. Estimation of parking demand generally uses the "parking basic unit"; however, the parking basic unit does not totally determine parking demand. This study analyzes the problems with using the parking basic unit with a field investigation and the establishment of a new parking demand calculation model. Parking basic units estimated from the mean parking basic unit method are higher than those resulting from a regression analysis. However, parking basic units resulting from these methods fail to satisfy parking demand in many buildings. Analysis results for a cumulative distribution of parking basic units are reasonable if they satisfy 88% of parking demand in buildings. However, parking basic units that satisfy 88% of parking demand in buildings is a problem in some areas with an oversupply of parking lots. Ultimately, this study establishes a parking demand calculation model.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.4
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• pp.172-178
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• 2006

In this paper, an advanced demand clustering algorithm which can explore the planned maintenance outage of generators in changed electricity industry is proposed. The major contribution of this paper can be captured in the development of the long-term estimates for the generation availability considering planned maintenance outage. Two conflicting viewpoints, one of which is reliability-focused and the other is economy-focused, are incorporated in the development of estimates of maintenance outage based on the advanced demand clustering algorithm. Based on the advanced clustering algorithm, in each demand cluster, conventional effective outage of generators which conceptually capture maintenance and forced outage of generators, are newly defined in order to properly address the characteristic of the planned maintenance outage in changed electricity markets. First, initial market demand is classified into multiple demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the initial demand. Then, based on the advanced demand clustering algorithm, the planned maintenance outages and corresponding effective outages of generators are reevaluated. Finally, the conventional demand clusters are newly classified in order to reflect the improved effective outages of generation markets. We have found that the revision of the demand clusters can change the number of the initial demand clusters, which cannot be captured in the conventional demand clustering process. Therefore, it can be seen that electricity market situations, which can also be classified into several groups which show similar patterns, can be more accurately clustered. From this the fundamental characteristics of power systems can be more efficiently analyzed, for this advanced classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.