• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.1
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• pp.6-13
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• 2009

Purpose: The purpose of this study was to identify differences in blood pressure according to cuff size and measurement sites of the participants. Method: The participants consisted of 50 women and 50 men whose upper arm circumference was $26\sim30cm$. They had no chronic illness and gave consent to participate. Blood pressure of the wrist was measured in the sitting position, the upper arm with a standard cuff, large and small cuffs were used for measurement in supine position and the thigh in prone position. The data were analyzed with paired t-test using SPSS 12.0 program. Result: The data for the upper arm showed a difference in systolic and diastolic blood pressure depending on the site of measurement. There was a significant difference between measurements with a standard cuff and measurements with large and small cuffs. The systolic blood pressure of the wrist and the thigh were significantly lower than that of the upper arm. Conclusion: These results suggest that the selection of an appropriate cuff is an essential element in ensuring accuracy when measuring blood pressure and differences in systolic blood pressure for the upper arm, wrist and thigh indicate the need to record the measuring site when measuring blood pressure.

• Tunnel and Underground Space
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• v.6 no.3
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• pp.209-222
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• 1996

Shut-in pressure, reopenting pressure and fracture orientation are very important parameters to be evaluated precisely in in-situ stress measurement by hydraulic fracturing. Graphical methods on pressure-time curves have been conventionally used, even though these are seriously dependent on subjectivity of interpreters. So there have been many demands on new method to objectivity in determining parameters. We have developed integrated hydrofracturing data processing program (HYDFRAC), based on nonlinear regression analysis and can be invoked under the Window graphical user interface. HYDFRAC consiste of three routines, that is shut-in pressure routine, reopening pressure routine, and fracture delineation routine. Each of routines include independent modules according to parameter determination methods. Its application to field tests ensured both objectivity and facility in determining of hydraulic fracturing parameters. Determining shut-in pressures at each pressurization cycles, we adopted the exponential pressure-decay method(EPD method), the bilinear pressure-decay-rate method (PDR method), and the tangent intersection method in order to find the pressurization-cyclic tendency of shut-in pressures. The estimated pressure by PDR method exists in the range of the upper and lower values by EPD method, and lies near to the upper value more than the lower. Being the pressurization cycle increased, the range of upper and lower limits come to be stabilized gradually. By graphical superposition method and bilinear pressure-accumulated volume method, reopening pressures were determined. Vertical and inclined fracture attitudes were determined by applying the directional statistics and sinusoidal curve fitting, respectively. The results of evaluation of hydrofracturing parameters showed that statistical methods could enhance the objectivity better than graphical methods.

• Journal of the Korean Society of Propulsion Engineers
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• v.12 no.5
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• pp.60-66
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• 2008

Each weapon system's muzzle velocity can be used as basic data for operating accurate automatic firing control system. Even among the same kind of ammunition, despite taking into consideration various battlefield parameters, irregular performance causes difficulties in obtaining accurate muzzle velocity data. In this study, pressure in the gun barrel was measured, the experimental relationship between chamber pressure and the projectile's base pressure was found, and a method of obtaining muzzle velocity was researched. Through this method, data regarding muzzle velocity is offered that corrects irregular performance.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.85.2-85.2
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• 2012

The interstellar medium (ISM) of galaxies in the galaxy cluster can well be affected by the intracluster medium (ICM). Among many suggested environmental processes, ram pressure stripping can effectively remove gas through the interaction with the ICM. In fact, Cluster galaxies are lower in HI gas mass compared to their field counterparts, and in recent high resolution HI imaging studies, many galaxies in dense environments have been found to be ram pressure stripped in HI. However, it is still under debate whether the ICM pressure can also remove dense molecular gas from the galactic disk, which plays more important role in star formation and hence galaxy evolution. To answer this question, we have obtained high resolution 12/13 CO (2-1) data from the Sub Millimeter Array (SMA) of four galaxies at various HI stripping stages to study how the molecular gas properties change as the galaxy experiences the ICM pressure. We investigate the physical properties of molecular gas with 12/13 CO images. By comparing with other wavelength data, i.e. data(optical, HI, $H{\alpha}$, etc), we discuss how and in which timescale galaxies can migrate from the blue cloud to the red sequence due to ram pressure stripping.

• Journal of Korean Public Health Nursing
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• v.23 no.2
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• pp.285-295
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• 2009

Purpose: This study surveyed first-year college students on their knowledge of hypertension and their health behavior to obtain basic data necessary to develop hypertension prevention and management programs. Method: Subjects were 561 first-year students at a college in Chungcheongbuk-do, Korea. Data was collected using a structured questionnaire during the period from 01 October to 08 December 2007. Data analysis involved t-test, ANOVA, and Pearson correlation coefficient using SPSS for Windows. Results: Of the total subjects, 149 (26.6%) had a family history of hypertension 253 (45.1%) knew their blood pressure, 365 (65.9%) did not measure blood pressure, and 388 (69.1%) were not interested in knowing their blood pressure. Subjects' knowledge related to hypertension averaged 11.54 points out of 22, hypertension-related health behavior averaged 2.31 points out of 4. With a higher score indicative of increased attention paid to healthy behavior. Conclusion: Knowledge of blood pressure and characteristics of hypertension and management of both blood pressure and hypertension can be inadequate in first-year college students. Increased knowledge of hypertension may lead to better health behavior.

• Journal of Home Health Care Nursing
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• v.24 no.3
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• pp.255-263
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• 2017

Purpose: This study was conducted to assess the incidence and characteristics of pressure ulcer in relation to the type of equipment and supplies(EnS) in intensive care unit(ICU). Method: By using secondary data analysis and descriptive investigation, 29 patients of pressure ulcers caused by EnS were examined from January 2013 to December 2015, at the advanced general hospital located in Gyeongsangnam-do. The subjects were aged 19 years and above and had been in the ICU for more than 3 days. The data were analyzed using the SPSS WIN 23.0 with frequency, percentage, and mean and standard deviation. Result: The incidence of EnS-related pressure ulcers was 3.71%. The EnS-related causes for pressure ulcers were endotracheal tube(31.03%), restraint(20.69%), and neck brace(10.34%). The longest use of EnS was oxygen tube(29 days). EnS that were possibly causing pressure ulcer for one day were restraint(upper extremities), endotracheal tube(oral and face), and oxygen mask(ear and nose). Conclusion: This study has been limited to secondary data analysis that may result in missing records of pressure ulcers related to EnS in ICU. However, the analysis of this research is expected to contribute to the development of nursing interventions to clarify the guidelines for the prevention of pressure ulcers related to EnS in ICUs.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.19-27
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• 2020

In this paper, we propose a machine learning method for diagnosing the failure of a gas pressure regulator. Originally, when implementing a machine learning model for detecting abnormal operation of a facility, it is common to install sensors to collect data. However, failure of a gas pressure regulator can lead to fatal safety problems, so that installing an additional sensor on a gas pressure regulator is not simple. In this paper, we propose various machine learning approach for diagnosing the abnormal operation of a gas pressure regulator with only the flow rate and gas pressure data collected from a gas pressure regulator itself. Since the fault data of a gas pressure regulator is not enough, the model is trained in all classes by applying the over-sampling method. The classification model was implemented using Gradient boosting, 1D Convolutional Neural Networks, and LSTM algorithm, and gradient boosting model showed the best performance among classification models with 99.975% accuracy.

• The Journal of the Acoustical Society of Korea
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• v.43 no.1
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• pp.131-137
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• 2024

Aerodynamic noise generated by the surrounding flow of a train traveling at high speed affects both outdoor and indoor noise. This study's goal is to develop a test method to measure and quantitatively evaluate aerodynamic noise through pressure perturbation data on the train surface. To accurately evaluate aerodynamic noise, it is important to separate and evaluate the compressive and incompressible pressure fluctuations mixed in the acquired surface pressure fluctuation data. This is because the noise transmission characteristics of the two pressure fluctuations are different. First, the installation length and interval of the microphone were determined to acquire surface pressure fluctuation data, and wavenumber-frequency analysis was performed to separate incompressible pressure fluctuation and compressible pressure fluctuation to obtain a sound pressure level spectrum. Finally, as a result of comparing the test results measured in the train head and trail, It was confirmed that the pressure fluctuation on the train head surface was greater than that on the tail.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.7 no.2
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• pp.276-286
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• 1995

In this study, pressure drop and heat transfer coefficients were measured in tubes with three dimensional roughness. Dimples were made by rotating the saw-tooth shaped finning disc on the outer tube surface. Resultant dimple shape was oval. Friction and heat transfer tests were performed with a range of roughness variables-roughness height 'e', axial roughness pitch 'p', circumferential roughness pitch 'z'. Within the test range, tube with e=0.5mm, z=5mm, p=3mm performed best. The efficiency ratio(rati of the heat transfer improvement and the pressure drop increase) of the tube approached 1.0 at low Reynolds number, and it was higher than that of the two-dimensional roughess tube of the same roughness height. Test data were predicted by 'discrete element method'. Results show that discrete element method underpredicts the friction data by 2% to 32%, and overpredicts the heat transfer data by-12% to 113%.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.20 no.8
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• pp.2572-2592
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• 1996

A low-Reynolds-number second moment turbulence closure was developed with the aid of DNS data. Model coefficients of nonlinear return to isotropy term were derived by use of Cayley-Hamilton theorem and two component turbulence limit condition as the functions of invariances of anisotropy and turbulent Reynolds number. Launder and Tselepidakis' cubic mean pressure strain model was modified to fit the predicted pressure-strain components to the DNS data. Two component turbulence limit condition was the precondition to be satisfied in developing the second moment turbulence closure for the realizable Reynolds stress prediction. But the satisfactions of Reynolds stress level and pressure-strain level of each component were compromised because the satisfaction of both levels was impossible.