• The Korean Journal of Applied Statistics
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• v.25 no.2
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• pp.293-300
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• 2012

When Binomial data are obtained, logit and logit mixed models are commonly used for small area estimation. Those models are known to have good statistical properties through the use of unit level information; however, data should be obtained as area level in order to use area level information such as spatial correlation or auto-correlation. In this research, we suggested a new small area estimator obtained through the combination of unit level information with area level information.

• Nuclear Engineering and Technology
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• v.50 no.8
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• pp.1234-1245
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• 2018

The risk of multi-unit nuclear power plants (NPPs) at a site has received considerable critical attention recently. However, current probabilistic safety assessment (PSA) procedures and computer code do not support multi-unit PSA because the traditional PSA structure is mostly used for the quantification of single-unit NPP risk. In this study, the main purpose is to develop a multi-unit Level 2 PSA method and apply it to full-power operating six-unit OPR1000. Multi-unit Level 2 PSA method consists of three steps: (1) development of single-unit Level 2 PSA; (2) extracting the mapping data from plant damage state to source term category; and (3) combining multi-unit Level 1 PSA results and mapping fractions. By applying developed multi-unit Level 2 PSA method into six-unit OPR1000, site containment failure probabilities in case of loss of ultimate heat sink, loss of off-site power, tsunami, and seismic event were quantified.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.4
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• pp.414-423
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• 2012

Purpose: The purpose of this study was to investigate the impact of the unit-level nurse practice environment on nurse turnover intention in the small and medium sized hospitals. Methods: A cross-sectional study was conducted using a questionnaire survey with 308 nurses in 38 nursing units of 6 small and medium sized hospitals, having over 200 beds and under 300 beds and located in B metropolitan city. Data were collected from July 20 to August 10, 2011. Data were analyzed using hierarchical multiple regression. Results: The mean turnover intention in nurses of small and medium sized hospitals was $3.52{\pm}0.53$. Factors affecting turnover intention in the nurses included age, work unit, monthly income, number of night-duties, work hours per day and unit-level nurse practice environment. The unit-level nurse practice environment accounted for 15% of turnover intention when other variables were controlled. Conclusion: The results of the study indicate that nurse turnover intention is associated with the nurse practice environment at the unit level. Small and medium sized hospitals can improve nurse retention and lower turnover intention by changing the nurse practice environment of unit, such as creating better support services and nurse participation in hospital affairs.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.1 no.2
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• pp.193-205
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• 1994

The Study was carried out for the purpose of investigating the degree of perception in nursing activities. The data of this study were collected by self-reported questionnaire composed of 5 point rating scale measure the ideal level and the performance level of nurses activity. For the analysis of the data, percentage, MANOVA and ANOVA were 231 nurses in 3 general hospitals in Taegu. Data was administrated from October 4 through 14, 1994. The results were as follow : 1. The average mean score for the ideal level was 4.19 with a maximum possible score 5points. The highest mean score was Infection Controll and the lowest mean score was nutrition The average mean score for the performance level was 3.75, the highest mean score was fluid and electrolyte, the lowest mean score was nutrition. In the desirable nursing pergormance, Education was found the highest response above charge nurse, Medication was found the highest response above General nurse, environment was found the highest response above aide. 2. In the analysis of the relationship between the ideal level and th performance level, significant defference was found in age, position, career, marital status, occupation satisfaction, Nursing unit, parent. 3. In the analysis of the relationship between the ideal level and the performance level and the general characteristics, significant difference was found in marital status in the ideal level of direct nursing care, significant difference was found in age, position, marital status, nursing unit in the ideal level of indirect nursing care, significant difference was found in age, position, career, marital status, occupation satisfaction, nursing unit in the performance level of direct nursing care. significant difference was found in age (25-29) and above 30 career(4-7 and 7), occupation satisfaction(good and moderate, good and poor) in scheffe test of the performance level of direct nursing care.

• Journal of Korean Society on Water Environment
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• v.29 no.3
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• pp.343-353
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• 2013

Flow duration curve (FDC) can be developed by linking the daily flow data of stream flow monitoring network to 8-day interval flow data of the unit watersheds for the management of Total Maximum Daily Loads. This study investigated the applicable method for the development of long term FDC with the selection of the stream flow reference sites, and suggested the development of the FDC in 4 river basins. Out of 142 unit watersheds in 4 river basins, 107 unit watersheds were shown to estimate daily flow data for the unit watersheds from 2006 to 2010. Short term FDC could be developed in 64 unit watersheds (45%) and long term FDC in 43 unit watersheds (30%), while other 35 unit watersheds (25%) were revealed to have difficulties in the development of FDC itself. Limits in the development of the long term FDC includes no stream monitoring sites in certain unit watersheds, short duration of stream flow data set and missing data by abnormal water level measurements on the stream flow monitoring sites. To improve these limits, it is necessary to install new monitoring sites in the required areas, to keep up continuous monitoring and make normal water level observations on the stream flow monitoring sites, and to build up a special management system to enhance data reliability. The development of long term FDC for the unit watersheds can be established appropriately with the normal and durable measurement on the selected reference sites in the stream flow monitoring network.

• Proceedings of the IEEK Conference
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• 2002.06b
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• pp.101-104
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• 2002

This paper propose that is algorithm of power dissipation reduction in the high level synthesis design for DSP(Digital Signal Processor), as the portable terminal system recently demand high power dissipation. This paper obtain effect of power dissipation reduction and switching activity that increase correlation of operands as input data of function unit. The algorithm search loop or repeatedly data to the input operands of function unit. That can be reduce the power dissipation using the new low power high level synthesis algorithm. In this Paper, scheduling operation search same nodes from input DFG(Data Flow Graph) with correlation coefficient of first input node and among nodes. Function units consist a multiplier, an adder and a register. The power estimation method is added switching activity for each bits of nodes. The power estimation have good efficient using proposed algorithm. This paper result obtain more Power reduction of fifty percents after using a new low power algorithm in a function unit as multiplier.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.3
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• pp.240-249
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• 2010

Purpose: This study was to investigate intensive care unit (ICU) nurse's knowledge and nursing performance on the intensive care unit syndrome. Method: A survey questionnaire was administered to a convenience sample of 123 nurses in a university hospital. Data were collected from August 1st to August 25th, 2009. Data were analyzed using SPSS/WIN 12.0. Results: The mean score for knowledge and nursing performance were66.96 and 74.97 respectively. According to the general characteristics, there were significant differences in knowledge depending on marital status, education level and career length and in nursing performance depending on their age, education level and career length. The correlation between knowledge and nursing performance was a significant positive one. Conclusion: Comprehensive educational programs are needed to decrease accident rates related to ICU syndrome and to improve the health of ICU patients.

• Journal of Information Science Theory and Practice
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• v.11 no.2
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• pp.37-66
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• 2023

Scientometrics and research evaluation describe and analyze research publications when conducting publication, citation, and topic analyses. However, what exactly is a (scientific, academic, scholarly or research) publication? This article demonstrates that there are many problems when it comes to looking in detail at quantitative publication analyses, citation analyses, altmetric analyses, and topic analyses. When is a document a publication and when is it not? We discuss authorship and contribution, formally and informally published documents, as well as documents in between (preprints, research data) and the characteristics of references, citations, and topics. What is a research publication? Is there a commonly accepted criterion for distinguishing between research and non-research? How complete and unbiased are data sources for research publications and sources for altmetrics? What is one research publication? What is the unit of a publication that causes us to count it as "1?" In this regard, we report problems related to multi-author publications and their counting, weighted document types, the unit and weighting of citations and references, the unit of topics, and counting problems-not only at the article and individual researcher level (micro-level), but also at the meso-level (e.g., institutions) and macro-level (e.g., countries). Our results suggest that scientometric counting units are not reliable and clear. Many scientometric and research evaluation studies must therefore be used with the utmost caution.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.195-197
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• 2006

In this paper, an interface unit is designed to efficiently monitor transmission data in Controller Area Network(CAN)-based control systems. The CAN uses a serial multi master communication protocol that efficiently supports distributed real-time control with a very high level of data integrity, and communication speeds of up to 1Mbps. The interface unit is composed of a DSP controller which collects data on the CAN bus and transfers data to a personal computer via serial communication to save and display of interesting signals. The experimental system consists of three DSP controllers which represent electronic control units of a vehicle, an interface unit for analysing the data on the bus, and a graphic monitoring program coded on the Windows platform. The validity and the effectiveness of the proposed simple type of CAN interface unit are shown through the experimental results.

• Journal of the Korean housing association
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• v.25 no.6
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• pp.39-47
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• 2014

The background of this study is to examine the structure of housing price of which characteristics are not equal but hierarchical in the apartment complexes. So, the purpose of this study is to analyze the influences of apartment complex characteristics on the housing price within the same regional boundary by HLM. The data used as dependent variables were the market prices of 938 units from 29 apartment complexes by stratified sampling. The 2nd level independent variables is the Housing complex characteristics which are composed of the housing complex & locational variables and the 1st level independent variables are the unit characteristics. The results are as follows. First, the first model shows that the 2nd level variables explains 68% of the housing prices. Second, the influential variables of the 1st level unit variable are 'dwelling exclusive area', 'floor of dwelling' and 'direction of dwelling'. Third, the influential variables of the housing complex variables in the 2nd level are 'lot area', 'the building-to-land ratio', 'the number of unit', 'the number of parking lots per unit', 'Green space area' and 'open space area per unit'. The last, the influential variables of the housing locational variables in the 2nd level are 'distance to subway and park' and the number of school and park within a radius of 1km.