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Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 308-321 doi: 10.1007/s11709-014-0266-6

Abstract: This paper also analyzes the statistical distributions of parameters for aggregate form and angularitydetermined that the parameters for form or angularity of coarse aggregates could be fitted by either normal distributionor log-normal distribution at a 95% confidence level.

Keywords： coarse aggregate     form     angularity     digital image analysis     statistical distribution     splitting tensile strength    

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Enhanced dewatering characteristics of waste activated sludge with Fenton pretreatment: effectiveness and statistical

Guangyin ZHEN, Xueqin LU, Baoying WANG, Youcai ZHAO, Xiaoli CHAI, Dongjie NIU, Tiantao ZHAO

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 267-276 doi: 10.1007/s11783-013-0530-3

Abstract: of waste activated sludge using Fenton pretreatment was investigated in terms of effectiveness and statistical

Keywords： pretreatment     response surface methodology (RSM)     capillary suction time (CST)     dewaterabilty     molecular weight distribution    

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Astatistical distribution texton feature for synthetic aperture radar image classification Article

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1614-1623 doi: 10.1631/FITEE.1601051

Abstract: We propose a novel statistical distribution texton (s-texton) feature for synthetic aperture radar (SARMotivated by the traditional texton feature, the framework of texture analysis, and the importance of statisticaldistribution in SAR images, the s-texton feature is developed based on the idea that parameter estimationof the statistical distribution can replace the filtering operation in the traditional texture analysis

Keywords： Synthetic aperture radar     Statistical distribution     Parameter estimation     Image classification    

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State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and Review

Haizhou Wang, Lei Zhao, Yunhai Jia, Dongling Li, Lixia Yang, Yuhua Lu, Guang Feng, Weihao Wan

Engineering 2020, Volume 6, Issue 6,   Pages 621-636 doi: 10.1016/j.eng.2020.05.005

Abstract: This article presents a state-of-the-art review of research and applications of high-throughput statisticalHighthroughput statistical spatial-mapping uses a series of rapid characterization techniques for analysisStatistical analysis can be used to select a suitable design that better meets the targeted requirementsThe high-throughput statistical spatial-mapping characterization technology has been applied to numerous

Keywords： Material heterogeneity     High-throughput characterization     Statistical spatial-mapping     Original-positionstatistical-distribution analysis    

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Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 123-126 doi: 10.1007/s11709-019-0582-y

Abstract: Hence, in this study, factor analysis was performed and the frequency distribution method was employed

Keywords： earthquake     factor analysis     slope landslides     statistical modeling    

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Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Frontiers of Medicine 2011, Volume 5, Issue 2,   Pages 203-207 doi: 10.1007/s11684-011-0138-6

Abstract: Some statistical problems are raised based on these features.First, complex statistical methods that can analyze subjective indexes and latent variables, multidimensional

Keywords： traditional Chinese therapeutics     feature     statistic    

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Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 102-110 doi: 10.1007/s11684-013-0245-7

Abstract: Recently, a number of new statistical methods have been developed to tackle the important problem of

Keywords： dynamic treatment regimes     personalized medicine     reinforcement learning     Q-learning    

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Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 268-278 doi: 10.15302/J-FASE-2017164

Abstract: This review covers the most commonly used statistical methods and some extensions of them, i.e., ridge

Keywords： genomic estimated breeding value     genomic selection     linkage disequilibrium     statistical methods    

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: been gradually employed to increase the automation and intelligence degree in quality control using statistical

Keywords： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time    

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Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate statistical

Keywords： Xin'anjiang River     multivariable statistical analysis     temporal variation     spatial variation     water quality    

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Application of statistical design for the production of inulinase by

M. DILIPKUMAR, M. RAJASIMMAN, N. RAJAMOHAN

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 4,   Pages 463-470 doi: 10.1007/s11705-011-1112-1

Abstract: A Plackett-Burman design was employed for screening 18 nutrient components for the production of inulinase using sp. and pressmud as the substrate via solid-state fermentation (SSF). From the experiments, three nutrients viz. yeast extract, FeSO ·7H O, and NH NO were found to be the most significant components. Hence these three components were selected and optimized using Response Surface Methodology (RSM). The optimum conditions are: yeast extract 0.00274 g/gds, FeSO ·7H O 0.00011 g/gds and NH NO 0.00772 g/gds. The effect of the substrate concentration and initial moisture content were also studied. A substrate concentration of 12 g and an initial moisture content of 65% are optimum for the maximum production of inulinase (89 U/gds).

Keywords： inulinase     pressmud     Response Surface Methodology (RSM)     streptomyces sp    

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Statistical Energy Analysis for Complicated Coupled System and Its Application in Engineering

Sheng Meiping

Strategic Study of CAE 2002, Volume 4, Issue 6,   Pages 77-84

Abstract:

The new SEA method developed in this dissertation is the integration of virtues from the mobility analysis, classical SEA and classical theory of power flow, which fits for vibration and noise analysis of complicated coupled systems. This research provides a theoretical base for study on vibration transfer between structures and noise radiation of complicated mechanical systems, and it also offers guidance for isolation and noise control of engineering structures. Contributions of this dissertation are as follows： First, in view of the disunion of SEA parameters in classical SEA, a union definition of SEA parameters is brought forward. Secondly, some elements that influence energy transfer between mechanical structures are separated and corresponding parameters are introduced to investigate those influences separately. (1)Linking style coefficient is introduced to denote the rule of vibration energy transfer when structures are linked at one point, some points or a line. (2) Non-conservative coupling coefficient is introduced to describe the influence of isolation or damping when structures are isolated or damped. (3) Indirect coupling coefficient is introduced to research the property of vibration energy transfer when two structures are indirectly linked by other structure. Thirdly, on the basis of above, gradation analysis is put forward to simplify the vibration analysis of complicated coupled system. Then, by using theoretical achievements above, the property of vibration and noise radiation of underwater vehicle is analyzed by the developed SEA for the first time. Levels of vibration and sound power induced by two different underwater vehicles are predicted. The analysis results agree well with experiment results. Finally, based on the analysis, the direction of noise control of underwater vehicle is pointed out.

Keywords： power flow     statistical energy analysis(SEA)     mobility     coupling    

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Statistical analysis of residential building energy consumption in Tianjin

Jihong LING,Luhui ZHAO,Jincheng XING,Zhiqiang LU

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 513-520 doi: 10.1007/s11708-014-0327-5

Abstract: consumption and indoor thermal comfort were investigated in detail in Tianjin, China, based on official statistical

Keywords： energy intensity     indoor thermal comfort     residential building     survey     statistical analysis     energy conversation    

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Development of mix design method based on statistical analysis of different factors for geopolymer concrete

Paramveer SINGH; Kanish KAPOOR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1315-1335 doi: 10.1007/s11709-022-0853-x

Abstract: The present study proposes the mix design method of Fly Ash (FA) based geopolymer concrete using Response Surface Methodology (RSM). In this method, different factors, including binder content, alkali/binder ratio, NS/NH ratio (sodium silicate/sodium hydroxide), NH molarity, and water/solids ratio were considered for the mix design of geopolymer concrete. The 2D contour plots were used to setup the mix design method to achieve the target compressive strength. The proposed mix design method of geopolymer concrete is divided into three categories based on curing regime, specifically one ambient curing (25 °C) and two heat curing (60 and 90 °C). The proposed mix design method of geopolymer concrete was validated through experimentation of M30, M50, and M70 concrete mixes at all curing regimes. The observed experimental compressive strength results validate the mix design method by more than 90% of their target strength. Furthermore, the current study concluded that the required compressive strength can be achieved by varying any factor in the mix design. In addition, the factor analysis revealed that the NS/NH ratio significantly affects the compressive strength of geopolymer concrete.

Keywords： geopolymer concrete     mix design     fly ash     response surface methodology     compressive strength     stress−strain    

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Analysis of statistical thermodynamic model for binary protein adsorption equilibria on cation exchange

ZHOU Xiaopeng, SU Xueli, SUN Yan

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 2,   Pages 103-112 doi: 10.1007/s11705-007-0020-x

Abstract: This work describes the nonlinear binary protein adsorption equilibria on ion exchangers by the statistical

Keywords： fundamental importance     single-component equilibria     acceptable fitting     hemoglobin     chromatographic separation    

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Title Author Date Type Operation

Quantification of coarse aggregate shape in concrete

Xianglin GU,Yvonne TRAN,Li HONG

Journal Article

Enhanced dewatering characteristics of waste activated sludge with Fenton pretreatment: effectiveness and statistical

Guangyin ZHEN, Xueqin LU, Baoying WANG, Youcai ZHAO, Xiaoli CHAI, Dongjie NIU, Tiantao ZHAO

Journal Article

Astatistical distribution texton feature for synthetic aperture radar image classification

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Journal Article

State-of-the-Art Review of High-Throughput Statistical Spatial-Mapping Characterization Technology and

Haizhou Wang, Lei Zhao, Yunhai Jia, Dongling Li, Lixia Yang, Yuhua Lu, Guang Feng, Weihao Wan

Journal Article

Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Journal Article

Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Journal Article

Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Journal Article

Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Journal Article

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Journal Article

Application of statistical design for the production of inulinase by

M. DILIPKUMAR, M. RAJASIMMAN, N. RAJAMOHAN

Journal Article

Statistical Energy Analysis for Complicated Coupled System and Its Application in Engineering

Sheng Meiping

Journal Article

Statistical analysis of residential building energy consumption in Tianjin

Jihong LING,Luhui ZHAO,Jincheng XING,Zhiqiang LU

Journal Article

Development of mix design method based on statistical analysis of different factors for geopolymer concrete

Paramveer SINGH; Kanish KAPOOR

Journal Article

Analysis of statistical thermodynamic model for binary protein adsorption equilibria on cation exchange

ZHOU Xiaopeng, SU Xueli, SUN Yan

Journal Article