• 제목/요약/키워드: Variance and Standard Deviation

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Analysis of Factors Affecting Satisfaction of 119 Emergency Service Users in Korea

  • Yun, Seong-Woo
    • Journal of information and communication convergence engineering
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    • 제19권4호
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    • pp.284-289
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    • 2021
  • This study attempted to identify the service satisfaction with the 119 emergency service and the factors that affect it based on the responses of subjects who used the service. Data collection was conducted from February 11 to March 11, 2021, using convenience sampling. A total of 1842 subjects who used emergency medical services using 119 ambulance in 2020 participated. For the collected data, frequency, percentage, mean, and standard deviation were calculated, and t-test, analysis of variance, and multiple regression analysis were performed using SPSS 23.0. Based on these results, to further enhance the satisfaction of users of the 119 emergency service and the quality of emergency medical services, it is important to improve the quality of paramedics through education and systems. In addition, to increase user satisfaction, efficient and systematic communication education is required. The quality of emergency medical services will increase only when communication skills required for explanations and promoting understanding are improved.

휴대폰 카메라용 렌즈 시스템의 강건최적설계 (Robust Optimization of a Lens System for a Mobile Phone Camera)

  • 정상진;민준홍;최동훈;김주호
    • 한국CDE학회논문집
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    • 제15권5호
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    • pp.325-332
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    • 2010
  • A lens system for mobile phone cameras is comprised of various lenses and designed so as to satisfy design requirements for responses such as a modular transfer function (MTF). However, it is difficult to manufacture and assemble camera modules to maintain the same performance compared with the designed camera modules, because of uncertainty. We should always design a lens system by considering uncertainty that can be caused by errors in the manufacturing and assembly process of mobile phone cameras. The robust optimization offers tools of making robust decisions with the consideration of design parameters, uncontrollable parameters, and the variance of the system. Using an efficient reliability analysis method and an optimization algorithm, we obtained robust optimization results that maximize the mean of MTF and minimize the standard deviation and proposed a new robust design process for a lens system.

불임여성의 불임스트레스 정도에 관한 연구 (The Stress of the Infertile Women)

  • 박영주
    • 여성건강간호학회지
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    • 제1권2호
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    • pp.244-259
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    • 1995
  • This study was designed and carried out to describe the stress of the infertile women and identify its predictors. The subjects of this study, 131 infertile women, were in primary or secondary infertility. the were conveniently sampled out from the infertility clinics of K University Medical Center and C Hospital in Seoul. The data were collected by using the Infertility Stress Scale which consisted of 35 items with four dimensions(cognitive, affective, marital and social stress) from August to November 1994. The data were analyzed by using the pc-SAS program. The information was obtained of Mean, Standard Deviation, Frequencies, Percentile, t-test, ANOVA, Duncan's multiple comparison test and Multiple Regression. The results are as follows; 1. The Mean of the stress of the infertile women is 2.78. The Means of the stress in 4 dimensions are 3.81 in the cognitive dimension, 3.05 in the affective dimension, 2.06 in the marital adjustment dimension and 2.41 in the social adjustment dimension. 2. The predictors of the stress of the infertile women are their educational levels and subjective economic status. They explain 14.08% of total variance.

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국부 확률을 이용한 데이터 분류에 관한 연구 (A Study on Data Clustering Method Using Local Probability)

  • 손창호;최원호;이재국
    • 제어로봇시스템학회논문지
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    • 제13권1호
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    • pp.46-51
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    • 2007
  • In this paper, we propose a new data clustering method using local probability and hypothesis theory. To cluster the test data set we analyze the local area of the test data set using local probability distribution and decide the candidate class of the data set using mean standard deviation and variance etc. To decide each class of the test data, statistical hypothesis theory is applied to the decided candidate class of the test data set. For evaluating, the proposed classification method is compared to the conventional fuzzy c-mean method, k-means algorithm and Discriminator analysis algorithm. The simulation results show more accuracy than results of fuzzy c-mean method, k-means algorithm and Discriminator analysis algorithm.

Machine learning models for predicting the compressive strength of concrete containing nano silica

  • Garg, Aman;Aggarwal, Paratibha;Aggarwal, Yogesh;Belarbi, M.O.;Chalak, H.D.;Tounsi, Abdelouahed;Gulia, Reeta
    • Computers and Concrete
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    • 제30권1호
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    • pp.33-42
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    • 2022
  • Experimentally predicting the compressive strength (CS) of concrete (for a mix design) is a time-consuming and laborious process. The present study aims to propose surrogate models based on Support Vector Machine (SVM) and Gaussian Process Regression (GPR) machine learning techniques, which can predict the CS of concrete containing nano-silica. Content of cement, aggregates, nano-silica and its fineness, water-binder ratio, and the days at which strength has to be predicted are the input variables. The efficiency of the models is compared in terms of Correlation Coefficient (CC), Root Mean Square Error (RMSE), Variance Account For (VAF), Nash-Sutcliffe Efficiency (NSE), and RMSE to observation's standard deviation ratio (RSR). It has been observed that the SVM outperforms GPR in predicting the CS of the concrete containing nano-silica.

우리나라 성인여성의 의복구매행동에 관한 실태 조사연구 (1) -서울, 부산, 대구지역을 중심으로- (A Study on the Clothing Buying Behaviors of Women -in Seoul, Busan, Daegu-)

  • 송미령
    • 한국의류학회지
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    • 제12권1호
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    • pp.53-68
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    • 1988
  • The purpose of this study was to investigate the clothing buying behaviorial pattern and the differences of clothing buying behaviors by the demographic variables. For the measurement of clothing buying behavior, the researcher developed a questionnaire. This questionnaire was adjusted by preliminary test. Data were collected from 494 women dwelling in Seoul, Busan, Daegu. For statistical analysis, frequency, percentage, average, standard deviation, paired t-test, $X^2-test$, one way analysis of variance, Duncan's multiple range test were used. The results were as follows: 1. The $57\%$ of the subject group planned their clothing purchase in advance, ana their friends affected clothing buying behaviors more than other fashion information sources. The store in which the subject group purchased clothing most frequently was a department store. In clothing selection, hygienic factor and aesthetic factor were shown as important factors. 2, There were significant differences in clothing buying behaviors according to demographic variables.

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Stochastic bending characteristics of finite element modeled Nano-composite plates

  • Chavan, Shivaji G.;Lal, Achchhe
    • Steel and Composite Structures
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    • 제26권1호
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    • pp.1-15
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    • 2018
  • This study reported, the effect of random variation in system properties on bending response of single wall carbon nanotube reinforced composite (SWCNTRC) plates subjected to transverse uniform loading is examined. System parameters such as the SWCNT armchair, material properties, plate thickness and volume fraction of SWCNT are modelled as basic random variables. The basic formulation is based on higher order shear deformation theory to model the system behaviour of the SWCNTRC composite plate. A C0 finite element method in conjunction with the first order perturbation technique procedure developed earlier by the authors for the plate subjected to lateral loading is employed to obtain the mean and variance of the transverse deflection of the plate. The performance of the stochastic SWCNTRC composite model is demonstrated through a comparison of mean transverse central deflection with those results available in the literature and standard deviation of the deflection with an independent First Order perturbation Technique (FOPT), Second Order perturbation Technique (SOPT) and Monte Carlo simulation.

인공위성 영상을 이용한 토지정보시스템의 자료처리 기법 개발 (Developement of Data Process Techniques of Land Information System Using Satellite Image)

  • 강인준
    • 한국측량학회지
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    • 제9권2호
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    • pp.115-118
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    • 1991
  • 토지 정보 시스템은 토지의 물리적, 법적 특성을 데이타 베이스화하는 것으로서 토지 기록 시스템이라 부르기도 한다. 수치원격탐사 자료는 스펙트럴 자료의 기본적인 통계를 계산하는데 유용하다. 각 밴드의 최대, 최소값, 평균, 표준편차, 분산-공분산 행렬, 그리고 밝기값의 빈도수를 막대도표로 그릴 수 있다. 본 논문에서는 항공사진을 스캔닝 하였으며, 다음 논문에 인공위성 영상을 스캔닝 할 것이다.

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상완혈 자침시 복부 장기의 안전성 확보를 위한 초음파시스템의 신뢰도 측정 (Reliability Measurement of the Ultrasound for Safety of the Abdominal Organs on Acupuncturing Sangwan (CV13))

  • 김지혜;백태현
    • 대한한의진단학회지
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    • 제15권2호
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    • pp.203-214
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    • 2011
  • Objectives: The objective of the current study is to determine whether an ultrasound device system is adequate for measuring distance from the abdominal surface of Sangwan (CV13) to peritoneum in front of anterior surface of liver. Methods: We recruited 3 healthy young male subjects and 2 sonographers. The each sonographer measured vertical shortest distance from the abdominal surface of Sangwan (CV13) to peritoneum in front of anterior surface of liver with a ultrasound device with three methods of 3.5 MHz convex probe and gel, 9 MHz linear probe and gel, and 9 MHz linear probe and solid gel pad, three times in random order. Because the total variation could be divided into repeatability, reproducibility and subject-to-subject variation in Gage R&R method, we compared the sources of variation associated with the measurement system with an analysis of variance model. Results & Conclusions: Number of distinct categories is calculated on the basis of standard deviation of subject-to-subject divided by standard deviation of total Gage R&R. If the number of categories is five or more, the measurement system may be acceptable for the analysis of the process. The number of distinct categories of the ultrasound device system for measuring distance from the abdominal surface of Sangwan (CV13) to peritoneum in front of anterior surface of liver were 9.20 (9 MHz linear probe and gel), 14.70 (9 MHz linear probe and solid gel pad). So we concluded that repeatabilities and reproducibilities of the ultrasound device system for measuring distance from the abdominal surface of Sangwan (CV13) to peritoneum in front of anterior surface of liver with the methods of 9 MHz linear probe and gel, and 9 MHz linear probe and solid gel pad were acceptable.

New Method for Simultaneous Quantification of 12 Ginsenosides in Red Ginseng Powder and Extract: In-house Method Validation

  • In, Gyo;Ahn, Nam-Geun;Bae, Bong-Seok;Han, Sung-Tai;Noh, Kil-Bong;Kim, Cheon-Suk
    • Journal of Ginseng Research
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    • 제36권2호
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    • pp.205-210
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    • 2012
  • For quality control of components in Korean red ginseng powder and extract, a new method for simultaneous quantification of 12 ginsenosides ($Rg_1$, Re, Rf, $Rh_1$, $Rg_2$[S], $Rg_2$[R], $Rb_1$, Rc, $Rb_2$, Rd, $Rg_3$[S], and $Rg_3$[R]) was studied. Compared to the official method for quantification of marker substances (ginsenosides $Rg_1$ and $Rb_1$), the proposed methods were guaranteed by in-house method validation. Several criteria such as linearity, specificity, precision and accuracy were evaluated. For red ginseng powder, recovery (averaging 95% to 105%) was calculated, and analysis of variance was carried out to estimate the relative standard deviation (0.20% to 2.12%). For red ginseng extract, the average recovery rate was 90% to 99% and the relative standard deviation was 0.39% to 2.40%. These results indicate that the proposed method could be used in the laboratory for determination of 12 ginsenosides in red ginseng powder and extract. In addition, this method was found to be suitable for quality control of ginseng products and potentially offer time and cost benefits.