• Journal of Korea Water Resources Association
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• v.37 no.10
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• pp.813-822
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• 2004

This study quantifies and compares the drought return and duration characteristics by applying the Poisson process as well as based on by analyzing the observed data directly. The drought spatial distributions derived for the Gyunggi province are also compared. The monthly rainfall data are used to construct the SPI as a drought index. Especially, this study focuses on the evaluation of the Poisson process model when applying it to various data lengths such as in the spatial analysis 'of drought. Summarizing the results are as follows. (1) The Poisson process is found to be effective for the quantification of drought, especially when the data length is short. When applying the Poisson process, two neighboring sites are found insensitive to the data length to show similar drought characteristics, so the overall drought pattern becomes smoother than that derived directly from the observed data. (2) When the data length is very different site by site, the spatial analysis of drought based on a model application seems better than that based on the direct data analysis. This study also found more obvious spatial pattern of drought occurrence and duration when applying the Poisson process.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.123-126
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• 2011

As the number of users of smart phone and smart pad are increasing, the deployment of WiFi APs has been accelerated. Also Internet local broadcasting service will be activated near future. But transmission error is the critical problem, due to the one-way transmission of the data to the receivers. In this paper, FER is analysed according to BER and frame length, and repetitive transmission technique is proposed to reduce the effective FER.

• Journal of Korean Academy of Nursing
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• v.34 no.1
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• pp.72-80
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• 2004

Purpose: The purpose of this study was to evaluate the effect of a constipation reduction program for inpatients. Method: Subjects were selected in one medical ward of C University Hospital from May, 2001 to November, 2001. Twenty-nine subjects were assigned to an experimental group and 32 subjects to a control group. Data related to the frequency of defecation and to the length and amount of laxative drugs used was collected by a medical record review and data on the degree of constipation was obtained by a self-report using a constipation assessment scale. Results: More than 90% of the subjects admitted in the department of neurology and one third of total subjects presented with activity limitation and about one fourth of the subjects were fed with a nasogastric tube. There was a significant difference in the degree of constipation, frequency of defecation, and the length and amount of laxative drug use between the two groups. Conclusion: This program is effective in inpatient's constipation reduction. Further studies need to apply this program in various clinical environments and properly use this program in different clinical settings.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.807-814
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• 2012

We know that the exponentially weighted moving average (EWMA) control charts are sensitive to detecting relatively small shifts. Multivariate EWMA control charts are considered for monitoring of variance-covariance matrix when the distribution of process variables is multivariate normal. The performances of the proposed EWMA control charts are evaluated in term of average run length (ARL). The performance is investigated in three types of shifts in the variance-covariance matrix, that is, the variances, covariances, and variances and covariances are changed respectively. Numerical results show that all multivariate EWMA control charts considered in this paper are effective in detecting several kinds of shifts in the variance-covariance matrix.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.199-203
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• 2016

This study relates to the development of a program for calculating the roofed pechan prism design data. First, we set the roofed pechan prism design variables and derive the relational expressions between them. With this expressions, we could develope the program that outputs the numerical data for roofed pechan prism design when the face-length and the effective incident beam diameter are given. In fact, applying this program to the prism which is not the commercial size, we were able to calculate the design data very quickly, so that we can easily acquire the 3D structure of the actual roofed pechan prism. This means that we can quickly ensure the structural data of roofed pechan prism which is required for the product development and we are able to develop the new products related to the scope at a faster speed.

• Structural Engineering and Mechanics
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• v.63 no.3
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• pp.385-400
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• 2017

This paper presents an experimental study on the behavior of axially-loaded steel RHS (rectangular hollow section) compression members that are partially reinforced along their lengths with welded steel plates. 28 slender column tests were carried out to investigate the effects of the slenderness ratio of the unreinforced member and the ratio of the reinforced length of the member to its entire length. In addition to the slender column tests, 14 stub-column tests were conducted to determine the basic mechanical properties of the test specimens under uniform compression. Test results show that both the compressive strength and stiffness of an RHS member can be increased significantly compared to its unreinforced counterpart even when only the central quarter of the member is reinforced. Based on the limited test data, it can be concluded that partial reinforcement is, in general, more effective in members with larger slenderness ratios. A simple design expression is also proposed to predict the compressive strength of RHS columns partially reinforced along their length with welded steel plates by modifying the provisions of AISC 360-10 to account for the partial reinforcement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3400-3411
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• 2013

The data mining is a new approach to extract useful information through effective analysis of huge data in numerous fields. This study was analyzed by decision making tree model using Clementine C&RT(Classification & Regression Tree, CART) as data mining technique. We utilized this data mining technique to analyze medical record of 1,500 people. Whole data were assorted by length of stay in PACU and divided into 3 groups. The result extracted by C5.0 decision tree method showed that important related factors for lengh of stay in PACU are type of operation, preoperative EKG abnormality, anesthetics, operative duration, age.

• The Journal of Korean Academic Society of Nursing Education
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• v.24 no.4
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• pp.433-442
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• 2018

Purpose: This study was performed to investigate the factors affecting postoperative pain and length of hospital stay of liver transplantation donors. Methods: This is a retrospective study using the Electronic Medical Records (EMR) of 91 patients operated on at a tertiary hospital in Seoul, Korea in 2016. The collected data were analyzed using descriptive statistics, t-test, Mann-Whitney U test and Kruskal-Wallis test, Spearman's rank correlation, and multiple regression analysis. Results: The average age of the donors was $35.7{\pm}12.2$ years, and all donors were family members. PCA was applied for control pain in all patients, and 40.7% of PCA-related side effects were observed. The average length of hospital stay was $9.24{\pm}2.52$ days. The factors influencing the length of hospital stay were operative methods, pain control methods, and postoperative complications. The length of hospital stay was 1.29 days shorter if donors had no complication, 1.43 days shorter when only PCA was used, and 1.19 days shorter when laparoscopic resection was performed (Adjusted $R^2=0.17$, F=4.67, p<.05). Conclusion: The results of this study can be used as basic data for practical and effective postoperative nursing education and intervention of living liver donors.

• Clinical and Experimental Pediatrics
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• v.63 no.9
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• pp.361-367
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• 2020

Background: Length of stay is a significant indicator of care effectiveness and hospital performance. Owing to the limited number of healthcare centers and facilities, it is important to optimize length of stay and associated factors. Purpose: The present study aimed to investigate factors associated with neonatal length of stay in the neonatal intensive care unit (NICU) using parametric and semiparametric models and compare model fitness according to Akaike information criterion (AIC) between 2016 and 2018. Methods: This retrospective cohort study reviewed 600 medical records of infants admitted to the NICU of Bandar Abbas Hospital. Samples were identified using census sampling. Factors associated with NICU length of stay were investigated based on semiparametric Cox model and 4 parametric models including Weibull, exponential, log-logistic, and log-normal to determine the best fitted model. The data analysis was conducted using R software. The significance level was set at 0.05. Results: The study findings suggest that breastfeeding, phototherapy, acute renal failure, presence of mechanical ventilation, and availability of central venous catheter were commonly identified as factors associated with NICU length of stay in all 5 models (P<0.05). Parametric models showed better fitness than the Cox model in this study. Conclusion: Breastfeeding and availability of central venous catheter had protective effects against length of stay, whereas phototherapy, acute renal failure, and mechanical ventilation increased length of stay in NICU. Therefore, the identification of factors associated with NICU length of stay can help establish effective interventions aimed at decreasing the length of stay among infants.

• Architectural research
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• v.20 no.3
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• pp.75-82
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• 2018

The aim of the study is to evaluate the concrete shear strength and structural behavior of two general beams and eight shape memory alloys (SMAs)-reinforced beams under the flexural test. This work compares the existing reference formula for concrete shear strength with test result to provide the basic data for the design of highly intelligent reinforced concrete (hereinafter, HIRC) beams. The evaluation of the concrete shear strength was performed with effective depth (d=65, 70, 80), SMA diameter change (ø=2.0, 2.5) as the main variables of the specimens. For the relationship between the effective depth and the $V_{\exp}/V_{cal}$, the test result shows that the concrete shear strength gradually approaches 1.0 as the effective depth length increase. For the AIJ formula, the specimens are approached evenly for comparison between $V_{\exp}/V_{cal}$ and the by-product (garnet, fly-ash) reinforced specimen; however, other formulas indicate a deviation.