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Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 882-895 doi: 10.1007/s11709-022-0859-4

Abstract: The Limit Equilibrium Method (LEM) is commonly used in traditional slope stability analyses, but it isA CNN model can process data quickly and complete a large amount of data analysis in a specific situationIt is difficult to get enough slope data samples in practical engineering.This study proposes a slope database generation method based on the LEM.Moreover, the prediction accuracy of the CNN trained by the sample database for slope stability analysis

Keywords： slope stability     limit equilibrium method     convolutional neural network     database for slopes     big data    

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Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: , and data concept drift; these features differentiate the data stream from standard types of data.An issue for the data stream is classification of input data.In addition, a new method is used to determine drift, which emphasizes the precision of the algorithmAnother characteristic of the proposed method is removal of different numbers of the base classifiersFurthermore, the proposed method is tested on a set of standard data and the results confirm higher accuracy

Keywords： Data stream     Classificaion     Ensemble classifiers     Concept drift    

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Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 3,   Pages 237-251 doi: 10.1007/s11709-014-0242-1

Abstract: parameters on shallow foundation responses are investigated using first-order second-moment (FOSM) analysisthe importance of proper characterization of soil parameters for reliable soil-foundation response analysis

Keywords： shallow foun dation     sensitivity analysis     centrifuge data     first-order-second-moment (FOSM) method     parameter    

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Predicting beach profile evolution with group method data handling-type neural networks on beaches with

M. A. LASHTEH NESHAEI, M. A. MEHRDAD, N. ABEDIMAHZOON, N. ASADOLLAHI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 117-126 doi: 10.1007/s11709-013-0205-y

Abstract: study, evolutionary algorithms (EAs) are employed for multi-objective Pareto optimum design of group methoddata handling (GMDH)-type neural networks that have been used for bed evolution modeling in the surf

Keywords： beach profile evolution     genetic algorithms     group method of data handling     Pareto     reflective beaches    

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Improved R /S Method and Analysis and Forecast to China Fire Data

Fu Yuhua,Fu Anjie

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 39-44

Abstract:

This paper discusses some improvements for the R/S analysis method (rescaled range analysis) in engineeringFor the analysis of total fire number in China, two new data grouping methods for calculating the HurstFor the R/S analysis of the calculated Hurst exponents, a new group of Hurst exponent H1,iAccording to the fire numbers from 1950〜1999, the fire number of year 2000 is forecasted with R/S method

Keywords： R/S analysis     rescaled range analysis     high order Hurst exponent     total fire number of whole country     forecast    

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Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 661-664 doi: 10.1007/s11684-021-0907-9

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Comparison of prechilling stratification and sulfuric acid scarification on seed germination of

Nan WANG, Jing GAO, Suiqi ZHANG, Feng YAN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 220-227 doi: 10.15302/J-FASE-2017146

Abstract: In semi-arid regions of the Loess Plateau, water deficiency restricts plant performance. (switchgrass), which is a highly versatile grass, had been introduced to the Plateau as a restoration species. To determine if prechilling stratification (PCS) and sulfuric acid scarification (SAS) can optimize establishment, cvs Pathfinder, Trailblazer and Alamo were tested under different ambient water potentials by measuring germination and root and shoot growth along water potential gradients under laboratory conditions. Both PCS and SAS improved total germination percentage (TGP), with PCS being more beneficial. The effect of PCS and SAS on mean germination time (MGT) weakened gradually with increasing drought stress. Both PCS and SAS showed no obvious effect on promoting root and shoot growth. Both PCS and SAS reduced base water potential requirement for reaching 50% germination of Pathfinder and Trailblazer, with this effect greater for PCS. These results indicate that embryo dormancy may be a major factor limiting germination of under drought conditions. Pathfinder appears to be more suitable for a semi-arid environment, whereas Alamo appears to be unsuitable for drought conditions. Given the large difference between predicted value and measured value, the reliability and applicable scope of linear regression estimated Y needs further investigation, specification and optimization.

Keywords： base water potential     data analysis method     embryo growth     germination    

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efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group methodof data handling surrogate model

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: Moreover, a modal property change vector is evaluated using the group method of data handling (GMDH)

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1301-1316 doi: 10.1007/s11709-021-0765-1

Abstract: An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectivenessTraffic data were used to analyze the evacuation traffic patterns.

Keywords： storm surge modeling     traffic     evacuation     Hurricane Irma    

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Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 247-258 doi: 10.1007/s11708-015-0364-8

Abstract: Fixed effect panel data modelling technique of econometric analysis is used to analyse the data of 26

Keywords： India     wind energy development     state incentives     econometric analysis     panel data    

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An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 301-310 doi: 10.1007/s11465-017-0449-7

Abstract:

A novel data-driven method based on Gaussian mixture model (GMM) and distance evaluation techniqueThe data sets are clustered by GMM to divide all data sets into several health states adaptively andtraining data sets.sets into several health states and remove the abnormal data sets.Experimental results indicate that the proposed method reliably predicts the RUL of rolling bearings.

Keywords： Gaussian mixture model     distance evaluation technique     health state     remaining useful life     rolling bearing    

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A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 376-381 doi: 10.1007/s11684-014-0356-9

Abstract:

Correlation analysis and processing of massive medical information can be implemented through bigdata technology to find the relevance of different factors in the life cycle of a disease and to provideMedical data can be collected and consolidated by distributed computing technology.Through analysis technology, such as artificial neural network and grey model, a medical model can beBig data analysis, such as Hadoop, can be used to construct early prediction and intervention models

Keywords： big data     correlation analysis     medical information     integration     data analysis     clinical model    

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Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 559-568 doi: 10.1007/s11783-012-0400-4

Abstract: Using methods based on the data envelopment analysis (DEA) model and exploratory spatial data analysis(ESDA) and data from 1985, 1995, 2005, and 2008 of 30 provinces in China, the spatial-temporal pattern

Keywords： industrial eco-efficiency     data envelopment analysis (DEA) model     exploratory spatial data analysis (ESDA    

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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: The present paper aims at detecting this type of damage by using static SHM data and by assuming thatTo achieve this objective a data driven strategy is proposed, consisting of the combination of advancedstatistical and machine learning methods such as principal component analysis, symbolic data analysisand cluster analysis.From this analysis it was observed that, under the noise levels measured on site, the proposed strategy

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

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Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquatic

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1471-x

Abstract:

• Hg bioaccumulation by phytoplankton varies among aquatic ecosystems.

Keywords： Plankton     Hg bioaccumulation     Physiological characteristics     A cross-system analysis     Nutrient compositions     Global data set    

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Title Author Date Type Operation

Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Journal Article

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Journal Article

Shallow foundation response variability due to soil and model parameter uncertainty

Prishati RAYCHOWDHURY,Sumit JINDAL

Journal Article

Predicting beach profile evolution with group method data handling-type neural networks on beaches with

M. A. LASHTEH NESHAEI, M. A. MEHRDAD, N. ABEDIMAHZOON, N. ASADOLLAHI

Journal Article

Improved R /S Method and Analysis and Forecast to China Fire Data

Fu Yuhua,Fu Anjie

Journal Article

Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Journal Article

Comparison of prechilling stratification and sulfuric acid scarification on seed germination of

Nan WANG, Jing GAO, Suiqi ZHANG, Feng YAN

Journal Article

efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group methodof data handling surrogate model

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Journal Article

Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

Journal Article

An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Journal Article

A study on specialist or special disease clinics based on big data

Zhuyuan Fang,Xiaowei Fan,Gong Chen

Journal Article

Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquatic

Journal Article