Resource Type

Journal Article 179

Year

2023 9

2022 14

2021 13

2020 16

2019 8

2018 12

2017 14

2016 8

2015 12

2014 10

2013 8

2012 9

2011 6

2010 5

2009 4

2008 4

2007 10

2006 1

2005 3

2004 4

open ︾

Keywords

statistical analysis 4

CFD 2

Computational methods 2

DX pile 2

Embedded systems 2

Parameter estimation 2

applications 2

control 2

methods 2

solid oxide fuel cell 2

1 1

16S rRNA 1

2R-1C model 1

3D finite element model 1

3D printing 1

4-Dioxane 1

5G smartphone 1

S. typhi 1

V S30 1

open ︾

Search scope:

排序： Display mode:

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 ofIn this paper, we provide an overview of these methods and list a number of challenges.

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

HTML PDF Collect

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    

HTML PDF Collect

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., ridgestudies, either training-testing approach or -fold cross-validation is commonly employed to validate methods

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

HTML PDF Collect

Research on Statistical Accounting Methods for Ecological Civilization in China

Shi Qingyan and Zhou Jing

Strategic Study of CAE 2017, Volume 19, Issue 4,   Pages 67-73 doi: 10.15302/J-SSCAE-2017.04.011

Abstract: fundamental work in ecological civilization construction begins with the creation of an accounting and statisticalcannot be effectively integrated into a unified framework due to the lack of a top-level accounting and statisticalecological civilization construction, this study analyzes the problems that exist in the accounting and statisticalsystem of ecological civilization in China and constructs a statistical indicator system and an accountingFurther, it gives suggestions for the improvement of the accounting and statistical system of ecological

Keywords： ecological civilization     SEEA2012-CF     statistical system     accounting framework     natural resources balance    

HTML PDF Collect

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: Earthquake-induced landslides are difficult to assess and predict owing to the inherent unpredictability of earthquakes. In most existing studies, the landslide potential is statistically assessed by collecting and analyzing the data of historical landslide events and earthquake observation records. Unlike rainfall-induced landslides, earthquake-induced landslides cannot be predicted in advance using real-time monitoring systems, and the development of the models for these landslides should instead depend on early earthquake warnings and estimations. Hence, in this study, factor analysis was performed and the frequency distribution method was employed to investigate the potential risk of the landslides caused by earthquakes. Factors such as the slope gradient, lithology (geology), aspect, and elevation were selected and classified as influential factors to facilitate the construction of a landslide database for the area of study.

Keywords： earthquake     factor analysis     slope landslides     statistical modeling    

HTML PDF Collect

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: ancient traditional medicines that hold systematic theories as well as preventative and therapeutic methodsFrom the 1950s, such research methods as mathematics, statistics, and data mining (DM) have been graduallySome 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    

HTML PDF Collect

Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern province of China

Wenyan Wang, Wei Ouyang, Fanghua Hao, Yun Luan, Bo Hu

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0864-8

Abstract: Dynamic analysis of biomass combined NPP modeling has been adopted. Temperature trends to warming and precipitation has periodic fluctuation. Regional distribution of agricultural and forestry biomass is mutual and divergent. Precipitation is significantly positive correlated with agricultural biomass. Temperature is negative on forestry biomass in Lesser Khingan & northern Changbai. Precipitation plays positive effect on biomass in southwestern Changbai Mountain. The dynamics of agricultural and forestry biomass are highly sensitive to climate change, particularly in high latitude regions. Heilongjiang Province was selected as research area in North-east China. We explored the trend of regional climate warming and distribution feature of biomass resources, and then analyzed on the spatial relationship between climate factors and biomass resources. Net primary productivity (NPP) is one of the key indicators of vegetation productivity, and was simulated as base data to calculate the distribution of agricultural and forestry biomass. The results show that temperatures rose by up to 0.37°C/10a from 1961 to 2013. Spatially, the variation of agricultural biomass per unit area changed from -1.93 to 5.85 t·km ·a during 2000–2013. More than 85% of farmland areas showed a positive relationship between agricultural biomass and precipitation. The results suggest that precipitation exerts an overwhelming climate influence on agricultural biomass. The mean density of forestry biomass varied from 10 to 30 t·km . Temperature had a significant negative effect on forestry biomass in Lesser Khingan and northern Changbai Mountain, because increased temperature leads to decreased Rubisco activity and increased respiration in these areas. Precipitation had a significant positive relationship with forestry biomass in south-western Changbai Mountain, because this area had a warmer climate and stress from insufficient precipitation may induce xylem cavitation. Understanding the effects of climate factors on regional biomass resources is of great significance in improving environmental management and promoting sustainable development of further biomass resource use.

Keywords： change     Heilongjiang Province     China     Climate     Energy systems/technology     Other sustainability (specify)     Statisticalmethods     GIS     Model flow     CFD    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

A review of optimization modeling and solution methods in renewable energy systems

Frontiers of Engineering Management   Pages 640-671 doi: 10.1007/s42524-023-0271-3

Abstract: Science database, this study reviews the decision-making optimization problems, models, and solution methods

Keywords： renewable energy system     bibliometrics     mathematical programming     optimization models     solution methods    

HTML PDF Collect

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    

HTML PDF Collect

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 85-95 doi: 10.1007/s11465-018-0491-0

Abstract:

Injection molding is one of the most widely used material processing methods in producing plasticThis article reviews the recent studies and developments of the intelligent methods applied in the processThese intelligent methods are classified into three categories: Case-based reasoning methods, expertsystem-based methods, and data fitting and optimization methods.

Keywords： injection molding     intelligent methods     process parameters     optimization    

HTML PDF Collect

Title Author Date Type Operation

Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

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

Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Journal Article

Research on Statistical Accounting Methods for Ecological Civilization in China

Shi Qingyan and Zhou Jing

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

Spatial impacts of climate factors on regional agricultural and forestry biomass resources in north-eastern province of China

Wenyan Wang, Wei Ouyang, Fanghua Hao, Yun Luan, Bo Hu

Journal Article

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

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

A review of optimization modeling and solution methods in renewable energy systems

Journal Article

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

ZHOU Xiaopeng, SU Xueli, SUN Yan

Journal Article

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Journal Article