• Title/Summary/Keyword: Variance Reduction Method

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Monte Carlo shielding evaluation of a CSNS Multi-Physics instrument

  • Liang, Tairan;Shen, Fei;Yin, Wen;Xu, Juping;Yu, Quanzhi;Liang, Tianjiao
    • Nuclear Engineering and Technology
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    • v.51 no.8
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    • pp.1998-2004
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    • 2019
  • The Multi-Physics (MP) instrument is one of 20 neutron spectrometers planned in the China Spallation Neutron Source (CSNS). This paper presents a shielding calculation for the MP instrument using Monte Carlo codes MCNPX and FLUKA. First, the neutrons that escape from the CSNS decoupled water moderator and are delivered to the beam line of the MP instrument are calculated to use as the source term of the shielding calculation. Then, to validate the calculation method based on multiple variance reduction techniques, a cross check between MCNPX and FLUKA codes is performed by comparing the calculation results of the dose rate distribution on a simplified beam line model. Finally, a complete geometry model of the MP instrument is set up, and the primary parameters for the shielding design are obtained according to the calculated dose rate map considering different worst-case scenarios.

3D Segmentation of a Diagnostic Object in Ultrasound Images Using LoG Operator (초음파 영상에서 LoG 연산자를 이용한 진단 객체의 3차원 분할)

  • 정말남;곽종인;김상현;김남철
    • Journal of Biomedical Engineering Research
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    • v.24 no.4
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    • pp.247-257
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    • 2003
  • This paper proposes a three-dimensional (3D) segmentation algorithm for extracting a diagnostic object from ultrasound images by using a LoG operator In the proposed algorithm, 2D cutting planes are first obtained by the equiangular revolution of a cross sectional Plane on a reference axis for a 3D volume data. In each 2D ultrasound image. a region of interest (ROI) box that is included tightly in a diagnostic object of interest is set. Inside the ROI box, a LoG operator, where the value of $\sigma$ is adaptively selected by the distance between reference points and the variance of the 2D image, extracts edges in the 2D image. In Post processing. regions of the edge image are found out by region filling, small regions in the region filled image are removed. and the contour image of the object is obtained by morphological opening finally. a 3D volume of the diagnostic object is rendered from the set of contour images obtained by post-processing. Experimental results for a tumor and gall bladder volume data show that the proposed method yields on average two times reduction in error rate over Krivanek's method when the results obtained manually are used as a reference data.

Noise Reduction Algorithm using Average Estimator Least Mean Square Filter of Frame Basis (프레임 단위의 AELMS를 이용한 잡음 제거 알고리즘)

  • Ahn, Chan-Shik;Choi, Ki-Ho
    • Journal of Digital Convergence
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    • v.11 no.7
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    • pp.135-140
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    • 2013
  • Noise estimation and detection algorithm to adapt quickly to changing noise environment using the LMS Filter. However, the LMS Filter for noise estimation for a certain period of time and need time to adapt. If the signal changes occur, have the disadvantage of being more adaptive time-consuming. Therefore, noise removal method is proposed to a frame basis AELMS Filter to compensate. In this paper, we split the input signal on a frame basis in noisy environments. Remove the LMS Filter by configuring noise predictions using the mean and variance. Noise, even if the environment changes fast adaptation time to remove the noise. Remove noise and environmental noise and speech input signal is mixed to maintain the unique characteristics of the voice is a way to reduce the damage of voice information. Noise removal method using a frame basis AELMS Filter To evaluate the performance of the noise removal. Experimental results, the attenuation obtained by removing the noise of the changing environment was improved by an average of 6.8dB.

Clustering Method for Reduction of Cluster Center Distortion (클러스터 중심 왜곡 저감을 위한 클러스터링 기법)

  • Jeong, Hye-C.;Seo, Suk-T.;Lee, In-K.;Kwon, Soon-H.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.3
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    • pp.354-359
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    • 2008
  • Clustering is a method to classify the given data set with same property into several classes. To cluster data, many methods such as K-Means, Fuzzy C-Means(FCM), Mountain Method(MM), and etc, have been proposed and used. But the clustering results of conventional methods are sensitively influenced by initial values given for clustering in each method. Especially, FCM is very sensitive to noisy data, and cluster center distortion phenomenon is occurred because the method dose clustering through minimization of within-clusters variance. In this paper, we propose a clustering method which reduces cluster center distortion through merging the nearest data based on the data weight, and not being influenced by initial values. We show the effectiveness of the proposed through experimental results applied it to various types of data sets, and comparison of cluster centers with those of FCM.

Simulation Analysis of Control Variates Method Using Stratified sampling (층화추출에 의한 통제변수의 시뮬레이션 성과분석)

  • Kwon, Chi-Myung;Kim, Seong-Yeon;Hwang, Sung-Won
    • Journal of the Korea Society for Simulation
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    • v.19 no.1
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    • pp.133-141
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    • 2010
  • This research suggests a unified scheme for using stratified sampling and control variates method to improve the efficiency of estimation for parameters in simulation experiments. We utilize standardized concomitant variables defined during the course of simulation runs. We first use these concomitant variables to counteract the unknown error of response by the method of control variates, then use a concomitant variable not used in the controlled response and stratify the response into appropriate strata to reduce the variation of controlled response additionally. In case that the covariance between the response and a set of control variates is known, we identify the simulation efficiency of suggested method using control variates and stratified sampling. We conjecture the simulation efficiency of this method is better than that achieved by separated application of either control variates or stratified sampling in a simulation experiments. We investigate such an efficiency gain through simulation on a selected model.

A Hydrological Study on Rainfall Frequency Atlas in Korea (한국 확률강우량도 작성을 위한 수문학적 연구)

  • 이원환
    • Water for future
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    • v.10 no.1
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    • pp.39-51
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    • 1977
  • The purpose of this study is to make "The Rainfall Frequency Atlas in Korea" by the analytical method with new hydrological concepts. In this study, all of the rainfall datas in Korea was used for surveying of the basic data, and so we can get 103 sites for annual rainfall data and 100 sites for the max. in a day that are suitable to the purpose of the study. The above data groups are possible to estimate the normal standard period by the moving average method with $\pm$5% of significance level of variance ratio between the max. and min. moving average and arithmetic mean, but it may be impossible to study until 1990's for the short duration under 18-hr because the sites, having the short duration data, are only 12. The results of this study are as follows; 1. The normal standard period estimated by the moving average method is 20 year with $\pm$5% of significance level of variance ratio, and 30 year with$\pm$2-3%. 2. For the annual and max. rainfall in a day, it is possible to make the rainfall frequency atlas with 30normal standard period, but it may be impossible until 1990's for short duration. 3. "Y-k method" developed by writer is best suitable in the rainfal frequency analysis in Korea because of its convenience and reduction in the amount of calculation compared with other methods. 4. To improve the utilization of the rainfall frequency atlas, the larger-sized and the more detailed iso-precipitation atlas must be drawn.atlas must be drawn.

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MULTIPLE LINEAR REGRESSION APPROACH FOR PRODUCTIVITY ESTIMATION OF BULLDOZERS

  • Abbas Rashidi;Hoda Rashidi Nejad;Amir H. Behzadan
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1140-1147
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    • 2009
  • Productivity measurement of construction machinery is a significant issue faced by many contractors especially those involved in earthwork projects. Traditionally, equipment production rate has been estimated using data available in manufacturers' catalogues, results of previous construction projects, or personal experience and assessments of the site personnel. Actual production rates obtained after the completion of a project demonstrate the fact that most of these methods fail to provide accurate results and as a direct consequence, may lead to unrealistic project cost estimations prepared by the contractors. What makes this more critical is that in most cases, inadequate cost estimations lead the entire project to exceed the initial budget or fall behind the schedule. In this paper, a linear regression method to estimate bulldozer productivity is introduced. This method has been developed using SPSS-16 software package. The presented method is used to estimate the productivity of Komatsu D-155A1 series which is commonly used in many earthmoving operations in Iran. The data required for the numerical analysis has been collected from actual site observation and productivity measurement of 60 pieces of D-155A1 series currently being used in several earthmoving projects in Iran. Comparative analysis of the output data of the presented regression method and the existing productivity tables provided by the manufacturer shows that when compared to the actual productivity data collected on the jobsite, a significant increase in accuracy and a remarkable reduction of data variance can be achieved by using the presented regression method.

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A Numerical Study on the Optimization of Urea Solution Injection to Maximize Conversion Efficiency of NH3 (NH3 전환효율 극대화를 위한 Urea 인젝터의 분사 최적화에 관한 수치적 연구)

  • Moon, Seongjoon;Jo, Nakwon;Oh, Sedoo;Jeong, Soojin;Park, Kyoungwoo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.3
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    • pp.171-178
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    • 2014
  • From now on, in order to meet more stringer diesel emission standard, diesel vehicle should be equipped with emission after-treatment devices as NOx reduction catalyst and particulate filters. Urea-SCR is being developed as the most efficient method of reducing NOx emissions in the after-treatment devices of diesel engines, and recent studies have begun to mount the urea-SCR device for diesel passenger cars and light duty vehicles. That is because their operational characteristics are quite different from heavy duty vehicles, urea solution injection should be changed with other conditions. Therefore, the number and diameter of the nozzle, injection directions, mounting positions in front of the catalytic converter are important design factors. In this study, major design parameters concerning urea solution injection in front of SCR are optimized by using a CFD analysis and Taguchi method. The computational prediction of internal flow and spray characteristics in front of SCR was carried out by using STAR-CCM+7.06 code that used to evaluate $NH_3$ uniformity index($NH_3$ UI). The design parameters are optimized by using the $L_{16}$ orthogonal array and small-the-better characteristics of the Taguchi method. As a result, the optimal values are confirmed to be valid in 95% confidence and 5% significance level through analysis of variance(ANOVA). The compared maximize $NH_3$ UI and activation time($NH_3$ UI 0.82) are numerically confirmed that the optimal model provides better conversion efficiency of $NH_3$. In addition, we propose a method to minimize wall-wetting around the urea injector in order to prevent injector blocks caused by solid urea loading. Consequently, the thickness reduction of fluid film in front of mixer is numerically confirmed through the mounting mixer and correcting injection direction by using the trial and error method.

The Relationships of Work-Family Conflict, Social Support, Job Satisfaction, and Organizational Commitment in Korean Married Hospital Nurses (기혼 간호사의 직장-가정 갈등, 사회적 지지, 직무만족도 및 조직몰입간의 관계)

  • You, Mi-Ae;Son, Youn-Jung
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.16 no.4
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    • pp.515-523
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    • 2009
  • Purpose: The purpose of this study was to examine the relationship between work-family conflict, social support, job satisfaction, and organizational commitment which are closely linked to staff turnover from the perspective of married hospital nurses. Method: A survey was conducted using self-report structured questionnaire from 220 married nurses. Data analysis included descriptive statistics, t-test, one-way ANOVA, correlation and multiple linear regression with SPSS Win 17.0 program. Results: Job satisfaction, social support, work-family conflict and age were strong predictors of organizational commitment. These variables explained 46.5% of the variance of the organizational commitment. Higher levels of organizational commitment were associated with greater job satisfaction and social support. Nurse with lower levels of work-family conflict and older age reported a high level of organizational commitment. Conclusion: These results show that improving job satisfaction has the best effect on enhancing nurses' organizational commitment. Also supportive relationships, reduction of work-family conflict and older age were significantly correlated with organizational commitment. Organizations should design more family-friendly policies and provide opportunities for career development to health professionals to induce organizational commitment.

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A Study on Effective Fashion Illustration for Korean Middle Aged Woman -Focusing on the Standard Stomo type for Korean - (중년 여성 이미지에 어울리는 패션 일러스트레이션에 대한 연구 -한국인 표준 체형을 중심으로-)

  • Lee, Woon-Young;Im, Soon
    • The Research Journal of the Costume Culture
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    • v.7 no.3
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    • pp.134-141
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    • 1999
  • The purpose of this study is to provide new style for fashion illustration fo different image of Korean middle aged women. The research method is as follows. First, we make basic style base on The Korea Industrial Advancement Administration\`s Korean standard stomatype. Second, it give variety to body\`s rate and make each different 8 style. The subject are 144 college students who majoring clothing, fashion design and they have responded to the questionnaires. Questionnaires were taken from April, 1998 to Jan. 1999. Data were analyzes by analysis of variance, ANOVA test, Dunkun test, SPSS. PC/sup +/. As a result of this study, we found this following conclusions, 1. Well-proportion style have the exaggerated shoulder and the extended body at the same rate below waist line than basic style. 2. Reduction and extension need stability and well balanced. 3. Fashion illustration of middle aged women\`s clothing expression is not proper too narrow width, too long length of legs. 4. To making length, it is award well-proportion have too long hand or too long arm.

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