• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.1
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• pp.18-24
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• 2016

In order to service restoration and enhance power system reliability, a number of impedance based fault location algorithms have been developed for fault locating in a transmission line. This paper presents an advanced impedance-based fault location algorithms in a two-ended sources transmission line to reduce the DC offset error effects. This fault location algorithm uses of the GPS time synchronized voltage and current signals from the local and remote terminal. The algorithm uses an advanced DC offset removal filter. A series of test results using ATPdraw simulation data show the performance effectiveness of the proposed algorithm. The proposed algorithm is valid for a two-end sources transmission network.

• International Journal of Human Ecology
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• v.8 no.2
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• pp.17-28
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• 2007

Using data from the 2001 American Housing Survey, the purpose of this study is to profile the economic and socio-demographic characteristics of baby boomers according to housing down payment sources and to identify determinants of housing down payment sources among baby boomers. Results of the multinomial logistic regression analysis indicated that household income, housing value, age, education, gender, marital status, race, and geographic region were all significant determinants of housing down payment sources among baby boomers. Identification of factors affecting the occurrence of borrowing for housing down payment would aid in the development of financial education programs for baby boomer households.

• Earthquakes and Structures
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• v.10 no.6
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• pp.1391-1404
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• 2016

Peninsular Malaysia lying on the stable Sunda Plate has traditionally been considered safe with low to moderate seismicity. However, far field Sumatran mega-earthquakes have been shown to be capable of triggering ground motions felt in high rise structures in the major Malaysian cities while seismic impact from local earthquakes of moment magnitude 3.8 have reportedly induced nominal structural damages to nearby buildings. This paper presents an overview of the recent seismic activities in and around Peninsular Malaysia with reference to prominent earthquakes generated by far field interplate and local intraplate sources. Records of ground motion data and seismic hazard assessment (SHA) results available in the literature have been analyzed and discussed. The peak ground acceleration (PGA) values from historical records for few local intraplate events were observed to be higher than those for the events from Sumatran Subduction Zone. This clearly points to the need for a detailed and comprehensive SHA incorporating both far field and local sources. Such an analysis would contribute the knowledge required for secure and reliable infrastructure design and safeguard the Malaysian people and economy.

• The Journal of Industrial Distribution & Business
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• v.6 no.2
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• pp.17-24
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• 2015

Purpose - The main goals of this study are (1) to study the information sources used the most by customers of Islamic banks; and (2) to compare this with conventional bank customers. Research design, data, and methodology - 125 Islamic bank customers and 125 conventional bank customers were surveyed. The study employed two independent sample tests. Additionally, an exploratory study was conducted to support the quantitative analysis. Result - The results show that Islamic bank customers use personal as well as marketing information sources more intensely than conventional bank customers, although the result differences were not significant. Specifically, customers of Islamic banks use certain personal resources (parents and friends) and marketing information (marketers)intensely than conventional bank customers. Conclusion - The study revealed that friends and parents are the most important information sources for the selection of the Islamic bank. In addition, based on the resources used, Islamic banking customers can be classified as traditional and religious communities. Therefore, the most effective customer communications will be through Islamic groups such as Islamic social institutions and Islamic educational institutions.

• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.99-116
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• 1996

The purpose of this study is, to analyze the relationship between level of clothing involvement and use of information sources. Data was obtained from 130 middle-elderly women living in Chonju, Iri. And it was analyzed by frequency, percent, mean, ANOVA, $\chi$2-testk. The results of this study were as follows : 1) Groups were divided into high and low involvement according to involvement level. 2) The higher was clothing involvement, the lower was age, the higher was education, and the more was income. 3) The higher was clothing involvement, the higher was use df information sources. Groups used mostly information sources by personal media or observation, experience. 4) The high income group used impersonal information source, the low income group used mostly personal information source.

• Journal of The Korean Association For Science Education
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• v.12 no.2
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• pp.43-53
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• 1992

The purpose of this study was to investigate children's(K-5) conceptions about light in Korea. The two aspect of children's conceptions about light were identified : the sources of light, the nature of vision. Data were collected from 92 children by a mixture of writing, drawing and interview, and were analysed by systematic networks. The major findings of this study were as follows : 1. Children showed an awareness of a wide variety of sources of light. The predominant sources exampled by children were primary sources. 2. Children explained vision as intentional activity of seeing Seeing. means action that move their heal or eyes to the objects. Infants(K-1) did not recognize that light are needed for vision. 3. A notable features in children's conceptions about light were context-dependent.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.581-586
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• 2005

In this study, a hazard list is developed for accidents/incidents of Korean railway through identification of the risk sources. The risk sources are classified by the progress of the accidents/incidents, which consists of cause, triggering event, and failure of the safety system. The hazard list of railway accidents/incidents of Korea is then developed through extensive review of both domestic and foreign data for railway accidents/incidents risk sources. The list is refined for each of six subsystems of the railway system, which includes safety management system, operation management, human error and qualification management, installations and equipments, external hazard, and railway level crossing.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.11a
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• pp.558-562
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• 2003

In this paper, neural networks is studied to apply as a PD source classification in XLPE power cable specimen. For treeing discharge sources in the specimen, three defected models are made. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for three PD sources.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.125-134
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• 2009

A biological data acquisition based on web has emerged as a powerful tool for allowing scientists to interactively view entries form different databases, and to navigate from one database to another molecular-biology database links. In this paper, the biological conceptual model is constructed hybrid biological data model to represent interesting entities in the data sources to applying navigation rule property for each biological data source based on four biological data integrating layers to control biological data. When some user's requests for application service are occurred, we can get the data from database and data source via web service. In this paper, we propose a query processing model and execution structure based on integrating data layers that can search information on biological data sources.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.156-156
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• 2022

Explicitly spatially distributed and reliable data on industrial water demand is very much important for both policy makers and researchers in order to carry a region-specific analysis of water resources management. However, such type of data remains scarce particularly in underdeveloped and developing countries. Current research is limited in using different spatially available socio-economic, climate data and geographical data from different sources in accordance to predict industrial water demand at finer resolution. This study proposes a random forest regression (RFR) model to predict the industrial water demand at 0.50× 0.50 spatial resolution by combining various features extracted from multiple data sources. The dataset used here include National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL), Global Power Plant database, AQUASTAT country-wise industrial water use data, Elevation data, Gross Domestic Product (GDP), Road density, Crop land, Population, Precipitation, Temperature, and Aridity. Compared with traditional regression algorithms, RF shows the advantages of high prediction accuracy, not requiring assumptions of a prior probability distribution, and the capacity to analyses variable importance. The final RF model was fitted using the parameter settings of ntree = 300 and mtry = 2. As a result, determinate coefficients value of 0.547 is achieved. The variable importance of the independent variables e.g. night light data, elevation data, GDP and population data used in the training purpose of RF model plays the major role in predicting the industrial water demand.