• Journal of Korean Biological Nursing Science
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• 제14권1호
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• pp.41-48
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• 2012

Purpose: This experimental research explored the effects of aroma inhalation on blood pressure, pulse, sleep, stress, and anxiety in patients with essential hypertension who are taking antihypertensive medication. Methods: A pilot survey, pre-test and post-test were conducted. The data were collected from August to October, 2009. The participants were 44 patients randomly assigned to an experimental group (22 people) and a control group (22 people). The experimental group received individual instruction for aroma inhalation, which lasted for 3 minutes. They inhaled blended oils of Lavender, Majoram and Ylang Ylang (The mixed ratio was 4:3:3), three times a day, for two weeks. Data from 36 patients were used for the final analysis (20 from the experimental group, 16 from the control group). Data were analyzed using SPSS version 13.0. Results: Sleep disturbance decreased in the experimental group (t=-2.258, $p$=.030). Blood pressure, pulse, stress, and anxiety were not significantly different between the two groups ($p$ >.05). Additional analysis of the experimental group showed that physical stress and psychological stress were significantly lowered. Conclusion: Aroma inhalation is an effective paramedical intervention for patients with essential hypertension.

• Soft Computing and Machine Intelligence
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• 제1권1호
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• pp.1-10
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• 2021

Analysis and Tracking of bug reports is a challenging field in software repositories mining. It is one of the fundamental ways to explores a large amount of data acquired from defect tracking systems to discover patterns and valuable knowledge about the process of bug triaging. Furthermore, bug data is publically accessible and available of the following systems, such as Bugzilla and JIRA. Moreover, with robust machine learning (ML) techniques, it is quite possible to process and analyze a massive amount of data for extracting underlying patterns, knowledge, and insights. Therefore, it is an interesting area to propose innovative and robust solutions to analyze and track bug reports originating from different open source projects, including Mozilla and Eclipse. This research study presents an ML-based classification model to analyze and track bug defects for enhancing software engineering management (SEM) processes. In this work, Artificial Neural Network (ANN) and Naive Bayesian (NB) classifiers are implemented using open-source bug datasets, such as Mozilla and Eclipse. Furthermore, different evaluation measures are employed to analyze and evaluate the experimental results. Moreover, a comparative analysis is given to compare the experimental results of ANN with NB. The experimental results indicate that the ANN achieved high accuracy compared to the NB. The proposed research study will enhance SEM processes and contribute to the body of knowledge of the data mining field.

• 동력기계공학회지
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• 제20권3호
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• pp.57-63
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• 2016

This paper presents the experimental result and theoretical analysis result to investigate the correlation between the operating force, angle and locking torque for vehicle hood frame. Also, we derived the experimental equation that using the results for experiment and theory. The hood frame is switching-devices used for opening and closing the vehicle hood. It needs the correlation data between locking torques of each joint, operating force and angle of hood frame. The correlation data for torque and reaction force of hood frame obtained through experiment and theory analysis. Finally, the experimental equation of the locking torque prediction for the hood frame is derived.

• 한국과학교육학회지
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• 제29권8호
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• pp.848-860
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• 2009

이 연구에서는 개방적 참탐구 활동을 수행한 학생들의 탐구보고서에서 과학자들의 보고서 쓰기에서와 같은 특징이 나타나는지 살펴보고, 개방적 참탐구 활동 수행 후 실시한 학급 토론활동이 탐구보고서 쓰기에 미치는 효과에 대해서 알아보았다. 서울시 소재 과학고등학교 1학년 학생들을 대상으로 비교집단(전통적 학교탐구 수행, n=45), 실험집단 1(개방적 참탐구 활동 수행, n=43), 실험집단 2(개방적 참탐구 활동 수행 후 학급토론 실시, n=43)로 구분하여, 탐구를 수행하게 한 후 작성한 보고서를 분석하였다. 보고서 분석은 실험 결과에 대한 예상하기(근거제시 및 기술의 타당성), 데이터 해석하기(데이터전환 및 비판적 해석), 결론쓰기(실험결과에 기초한 객관적 진술)를 중심으로 이루어졌다. 그 결과 실험집단에서 과학자들의 보고서쓰기 특징이 나타나는 빈도가 비교집단보다 높게 나타났다. 특히 '근거를 제시하여 예상하기(p<.01)'와 '데이터에 대한 비판적인 평가(p<.05)'에서 유의미한 차이를 나타내었다. 그러나 결론쓰기에서는 세 집단 모두 실험결과에 기초하여 객관적으로 기술하는 빈도가 아주 낮게 나타났다. 보고서의 기술 내용면에서는, 실험집단에서 실험결과에 대한 예상이 훨씬 더 정교하게 기술되어 있었고, 데이터 전환의 정확성과 데이터에 대한 비판적 해석을 볼 수 있었다. 그리고 실험집단 2의 학생들의 보고서에서는 데이터에 대한 비판적 해석, 실험의 오차에 대한 기술을 볼 수 있었고, 이는 학급 토론활동이 학생들에게 과학적 사고를 하게 하는데 효과적임을 의미한다.

• KIEAE Journal
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• 제8권5호
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• pp.49-54
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• 2008

The experimental of temperature, humidity and velocity was taken from the underground pit which utilized the system of ground heat source quite similar to the cool-pit system. Also, through CFD analysis, one could review the effectiveness of analysis of future alternatives. Furthermore, the temperature range of mock up cool-pit system was analyzed by inputting the weather data of annual average soil temperature provided by KMA(Korea Meteorological Administration) into the fluid simulation of anticipated heat distribution. Firstly, the difference between the temperature of air exhaust of the pit or the temperature of air supply of the compressor room and the experimental data for the month of May from the CFD analysis came out to be $0.6^{\circ}C$ and $0.9^{\circ}C$ respectively with tolerance of 3.1% and 4.7%. Secondly, the difference between the temperature of air exhaust of the Pit or the temperature of air supply of the compressor room and the experimental data for the month of July from the CFD analysis came out to be $0.8^{\circ}C$ and $1.1^{\circ}C$ respectively with tolerance of 3.3% and 4.5%. Thirdly, for the month of May, the difference between the experimental data taken for the air exhaust of the Pit or the air supply of the compressor room and soil temperature provided by KMA for monthly and yearly average temperature of Jeonju region came out be $1.9^{\circ}C$ and $1.8^{\circ}C$ respectively with tolerance of 10.7% and 9.8%. Fourthly, for the month of July, the difference between the experimental data taken for the air exhaust of the Pit or the air supply of the compressor room and soil temperature provided by KMA for monthly and yearly average temperature of Jeonju region came out be $1.1^{\circ}C$ and $1.4^{\circ}C$ respectively with tolerance of 4.5% and 5.8%. The result of above experiments allowed us to establish CFD model set up as a verification tool that is based on experimental data collected within the Pit area. Also, one could confirm the possibility to apply weather data of soil temperature provided by KMA in order to anticipate proper value for CFD analysis.

• 한국생산제조학회지
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• 제6권1호
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• pp.27-33
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• 1997

A neural network approach has been developed to determine the depth of a surface breaking crack in a steel plate from ultrasonic backscattering data. The network is trained by the use of feedforward three-layered network together with a back-scattering algorithm for error correction. The signal used for crack insonification is a mode converted 70$^{\circ}$transverse wave. A numerical analysis of back scattered field is carried out based on elastic wave theory, by the use of the boundary element method. The numerical data are calibrated by comparison with experimental data. The numerical analysis provides synthetic data for the training of the network. The training data have been calculated for cracks with specified increments of the crack depth. The performance of the network has been tested on other synthetic data and experimental data which are different from the training data.

• 한국임상수의학회지
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• 제27권1호
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• pp.71-78
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• 2010

Analysis of variance (ANOVA) is a method to analyze the data from the experimental designs comparing two or more groups or treatments at the same time, and is the most effective tool of analyzing more complex data sets with different source of variations. This article describes the logic of ANOVA, the application of the method to the analysis of a simple data set, and the methods available for performing planned or post hoc multiple comparisons between the treatments means. In addition, the common misuse of the techniques is also discussed to emphasize that an inappropriate statistical analysis is potentially far more harmful than poorly conducted research. Lastly, an example is given for illustration purposes.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.675-682
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• 2002

In this study, we develop the statistical analysis program for genetic analysis of diallel crosses data by SAS/MACRO, SAS/IML. Genetic analysis is to estimate of genetics parameters and heredity with reciprocal cross and without reciprocal cross. Statistical analysis program solve the problem of the difficulties on the data analysis in field denetics and breeding Therefore the user whoever want to analysis of data on genetics and breeding easily conduct the work saving time and suffering.

• 한국전산유체공학회지
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• 제8권3호
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• pp.32-40
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• 2003

CFD analyses of the three-dimensional turbulent flow in the impeller and diffuser of an axial flow pump including suction and discharge parts are presented and compared with experimental data. The purpose of the current study is to validate the CFD method for the performance analysis of the main coolant pump for SMART and to investigate the effect of suction and discharge shapes on the pump performance. To generate a performance curve, not only the design point but also the off-design points were computed. The results were compared with available experimental data in terms of head generated. At the design point, the analysis accurately predicts the experimental head value. In the range of the higher flow rates, the results are also in very good agreement with the experimental data, in magnitude but also in terms of slope of variation. For lower flow rates, the results shows that the analysis considering the suction and discharge well describe the typical S-shape performance curve of the axial pump.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 1997년도 제8회 학술강연회논문집
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• pp.133-143
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• 1997

In this paper, some of the critical factors in Necking-In process are investigated using a numerical analysis. The optimal processing parameters are established and applied to the actual processes. FEM analysis is carried out based on elastic-plastic work hardening model using ABAQUS/Standard. The results obtained from the commercially available code ABAQUS/Standard are compared with the experimental data and shows a good agreement with experimental data. The purpose of this paper is to search for the relations among the roller angle, feed length, and working force. Stress, strain distribution, displacement and increase in the length of the workpiece are also investigated.