• Title/Summary/Keyword: statistical limits

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Evaluation of Piezocone Factors Applicable to Soft Ground Around Siwha Lake by Statistical Analysis (시화호 주변 연약지반 피에조콘계수 산정에 관한 통계적 분석)

  • Chung, Jin-Hyuck;Park, Soo-Beom;Lee, Song
    • Journal of the Korean Geotechnical Society
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    • v.24 no.4
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    • pp.89-100
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    • 2008
  • Applying graph and correlation developed in other countries to the domestic field has limits. Therefore, it is necessary that Piezocone factor should be determined by including ground characteristics obtained from various test results in the domestic site for better application. In this study, laboratory tests and field tests were performed to find the characteristics of soft ground which was widely distributed around Siwha lake. A comparative analysis of these tests with Piezocone penetration test was performed and the Piezocone factor was estimated by correlationship analysis of undrained shear strength and cone resistance. Also, an appropriate Piezocone factor in the study site was reestimated by utilizing statistical analysis method for deriving reliable result.

Assessment of radioactivity levels and radiation hazards in building materials in Egypt

  • Ahmed E. Abdel Gawad;Mohamed Y. Hanfi;Mostafa N. Tawfik;Mohammed S. Alqahtani;Hamed I. Mira
    • Nuclear Engineering and Technology
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    • v.56 no.2
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    • pp.707-714
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    • 2024
  • Different degrees of natural radioactivity found in quartz can have negative consequences on health. Quartz vein along the investigated Abu Ramad area, Egypt, had its natural radioactivity assessed. The HPGe spectrometer was used to determine the role played by the radionuclides 238U, 232Th, and 40K in the gamma radiation that was emitted, and the results showed that these concentrations are 484.64 ± 288.4, 36.8 ± 13.1 and 772.2 ± 134.6 Bq kg-1 were higher than the corresponding reported global limits of 33, 45, and 412 Bq kg-1 for each radionuclide (238U, 232Th, and 40K). Among the radiological hazard parameters, the excess lifetime cancer risk (ELCR) is estimated and it's mean value of ELCR (1.2) is higher than the permissible limit of 0.00029. The relationship between the radionuclides and the associated radiological hazard characteristics was investigated based on multivariate statistical methods including Pearson correlation, principal component analysis (PCA), and hierarchical cluster analysis (HCA). According to statistical research, the radioactive risk of quartz is primarily caused by the 238U, 232Thand 40K. Finally, applying quartz to building materials would pose a significant risk to the public.

Radiological hazards assessment associated with granitoid rocks in Egypt

  • Ahmed E. Abdel Gawad;Masoud S. Masoud;Mayeen Uddin Khandaker;Mohamed Y. Hanfi
    • Nuclear Engineering and Technology
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    • v.56 no.6
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    • pp.2239-2246
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    • 2024
  • The present study aimed to assess the radioactive hazards associated with the application of granitoid rocks in building materials. An HPGe spectrometer was used to detect the levels of the radioactive elements uranium-238, thorium-232, and potassium-40 in the granitoid rocks. The results showed that the levels of these elements were lower (38.32 < 33 Bq kg-1), comparable (47.19-45 Bq kg-1) and higher (992.26 ≫> 412 Bq kg-1) than the worldwide limits for 238U, 232Th, and 40K concentration, respectively. The exposure to gamma radiation of granitoid rocks was studied by various radiological hazard variables like the absorbed dose rate (Dair), the outdoor and indoor annual effective dose (AEDout and AEDin), and excess lifetime cancer risk (ELCR). A variety of statistical methods, including Pearson correlation, principal component analysis (PCA), and hierarchical cluster analysis (HCA) was used, to study the relationship between the radioactive elements and the radiological hazards. According to statistical analysis, the main radioactive risk of granitoid rocks is contributed to by the elements uranium-238, thorium-232, and potassium-40. Granitoid rocks can be applied in building materials, but under control to prevent risk to the public.

Test of Official Range in Characteristics for Jisan Soil Series (지산통(芝山統)의 토양특성(土壤特性) 범위(範圍) 검정(檢定))

  • Jung, Sug-Jae;Park, Chang-Seo;Hyeon, Geun-Soo;Moon, Joon;Um, Ki-Tae
    • Korean Journal of Soil Science and Fertilizer
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    • v.22 no.2
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    • pp.81-85
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    • 1989
  • The 113 soils representing the Jisan soil series (fine loamy, mixed, mesic fluventic Haplaquepts) as mapped in Korea were to characterize the Jisan soil throughout its official range which was the range of properties used to establish series limits. The samples were stratified according to master horizon designation for statistical analysis. The means in selected soil properties, horizon thickness, solum thickness, soil texture, clay content, pH, BSP, and horizon sequence, were within acceptable limits. The minimum values were considerably lower than the lower limits of the official ranges while the maximum values were above the allowable amount. The ranges of definition degree which mean the test of proper placement of any marginal limits were 0.687 to 0.929. Thus, Jisan series as mapped from other soil bodies in the field could be seen similarities and understood relationships among individuals.

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Development of Moving Average Prediction Diagnostic Module for Vibration Parameter Influenced by Environmental Factors (환경적 요인과 연관된 진동 파라메터를 진단하기 위한 이동평균 예측 진단 모듈 개발)

  • Oh, Se-Do;Kim, Young-Jin;Lee, Tae-Hwi
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.6
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    • pp.797-804
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    • 2013
  • In this study, the authors develop a methodology for a diagnostic system with a vibration parameter that is influenced by environmental factors. The data tends to have a varying average over time. Often, these features are found in statistical data retrieved from a production line. If we utilize existing statistical techniques for these features, we could derive an incorrect diagnostic conclusion based on the different average values. To overcome the limitations of previous methods, the authors apply a function analyzed through regression analysis to predict the mean value and corresponding upper and lower limits at each stage. This technique also provides corresponding statistical parameters in varying dynamic means. To validate the proposed methods, we retrieve data from the engine assembly line of H Motors and verify the results.

Intensity estimation with log-linear Poisson model on linear networks

  • Idris Demirsoy;Fred W. Hufferb
    • Communications for Statistical Applications and Methods
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    • v.30 no.1
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    • pp.95-107
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    • 2023
  • Purpose: The statistical analysis of point processes on linear networks is a recent area of research that studies processes of events happening randomly in space (or space-time) but with locations limited to reside on a linear network. For example, traffic accidents happen at random places that are limited to lying on a network of streets. This paper applies techniques developed for point processes on linear networks and the tools available in the R-package spatstat to estimate the intensity of traffic accidents in Leon County, Florida. Methods: The intensity of accidents on the linear network of streets is estimated using log-linear Poisson models which incorporate cubic basis spline (B-spline) terms which are functions of the x and y coordinates. The splines used equally-spaced knots. Ten different models are fit to the data using a variety of covariates. The models are compared with each other using an analysis of deviance for nested models. Results: We found all covariates contributed significantly to the model. AIC and BIC were used to select 9 as the number of knots. Additionally, covariates have different effects such as increasing the speed limit would decrease traffic accident intensity by 0.9794 but increasing the number of lanes would result in an increase in the intensity of traffic accidents by 1.086. Conclusion: Our analysis shows that if other conditions are held fixed, the number of accidents actually decreases on roads with higher speed limits. The software we currently use allows our models to contain only spatial covariates and does not permit the use of temporal or space-time covariates. We would like to extend our models to include such covariates which would allow us to include weather conditions or the presence of special events (football games or concerts) as covariates.

An Integrated Analysis of Recent Changes in Year-on-Year Consumer Price Index and Aggregate Import Price Index in Republic of Korea through Statistical Inference

  • Seok Ho CHANG;Soonhui LEE
    • Asia-Pacific Journal of Business
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    • v.14 no.1
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    • pp.365-379
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    • 2023
  • Purpose - Our previous study (Chang & Lee, 2023) presented observations on the recent changes in the year-on-year (YoY) Consumer Price Index (CPI) of the Republic of Korea (ROK) after the COVID-19 pandemic. The purpose of this article is to present an integrated analysis and interpretation of the recent changes in CPI and the Aggregate Import Price Index (IPI) by incorporating recent data, specifically data from September 2022 to December 2022. Design/methodology/approach - This study collected CPI (YoY) data in the ROK from January 2019 to December 2022 using e-National Indicator System provided by the ROK. Statistical analysis was employed to analyze the data. Findings - First, we confirm the extended results of the existing study by Chang and Lee (2023). Second, we demonstrate that the Aggregate IPI in ROK increased significantly in 2022 compared to 2021. We then provide an integrated interpretation on the significant increase in CPI and aggregate IPI in ROK, which complements Chang and Lee (2023) that limits their discussion to YoY CPI. Moreover, we show that the IPI of the semiconductor in ROK decreased significantly in 2022 compared to 2021. Research implications or Originality - Our results provide important insights into the recent changes in the CPI in the ROK. The results suggest that these changes can be partially attributed to various factors, such as the global supply chain disruptions resulting from the spread of the COVID-19 pandemic and the prolonged war between Russia and Ukraine, the side effect of quantitative easing by the US Federal Reserve, heat waves and droughts caused by climate change in ROK, a surge in demand following a gradual daily recovery, US-China trade conflict, etc. Our study shows statistically comprehensive results compared to the studies that limit their discussion to YoY average growth rate.

Statistical Analysis of Ranging Errors by using $\beta$-Density Angular Errors due to Heading Uncertainty ($\beta$ - 분포를 갖는 센서의 방향각 오차로 인한 거리 오차의 통계적 분석)

  • 김종성
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1984.12a
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    • pp.100-106
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    • 1984
  • Traditional methods for estimating the location of underwater target, i.e. the triangulation method and the wavefront curvature method, have been utilized. The location of a target is defined by the range and the bearing, which estimates can be obtained by evaluating the time delay between neighboring sensors. Many components of error occur in estimating the target range, among which the error due to the fluctuation of heading angle is outstanding. In this paper, the wavefront curvature method was used. We considered the error due to the heading fluctuation as the $\beta$-density process, from which we analized the range estimates with $\beta$-density function exist in some finite limits, and its mean value and variation are depicted as a function of true range and heading fluctuation. Given heading angles and sensor separation, maximum estimated heading errors are presented as a function of true range.

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A Study on Applied Orientations of Management Science Technique in Police Audit Planning Process (경찰감사 기획과정시 관리과학기법 응용방안)

  • Kim, Jeong-Heon;Song, Keon-Sup
    • Korean Security Journal
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    • no.5
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    • pp.109-130
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    • 2002
  • As proceeding Munmin and Kukmin's government, it is to bring in regionalism of genernal public administration and police administration, specialization, efficiency issue, demand inventing of audit technique to meet this trends. Especially, according to supporting qualitative improvement of the audit, its environment faced that orienting performance audit emphasis on not the legality but the efficiency more systematic and scientific theory or technique. In order to attain police audit's efficiency through performance audit, this study discussed that scientific management techniques should be applied police audit. Accordingly, the primary purpose of this study is to apply public audit to scientific management technique, bring to light limits in public sector(especially, police sector). To be efficiency audit(namely, performance audit), 1) OR techniques are explained linear programming, network modeling, PERT/CPM, queuing matrix model, simulation, 2) Statistical analysis methods are argued delphi technique, data envelopment analysis(DEA), analytic hierarchical process(AHP), time series analysis models etc.

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A Study on Robust Design Optimization of Layered Plates Bonding Process Considering Uncertainties (적층판 결합공정의 불확정성을 고려한 강건최적설계)

  • Choi Joo-Ho;Lee Woo-Hyuk;Youn Byeng-Dong;Xi Zhimin
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2006.04a
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    • pp.836-840
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    • 2006
  • Design optimization of layered plates bonding process is conducted to achieve high product quality by considering uncertainties in a manufacturing process. During the cooling process of the sequential sub-processes, different thermal expansion coefficients lead to residual stress and displacement. thus resulting in defects on the surface of the adherent. So robust process optimization is performed to minimize the residual stress mean and variation of the assembly while constraining the distortion as well as the instantaneous maximum stress to the allowable limits. In robust process optimization, the dimension reduction (DR) method is employed to quantify both reliability and quality of the layered plate bonding. Using this method. the average and standard deviation is estimated. Response surface is constructed using the statistical data obtained by the DRM for robust objectives and constraints. from which the optimum solution is obtained.

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