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Slope stability analysis based on big data and convolutional neural network

Frontiers of Structural and Civil Engineering   Pages 882-895 doi: 10.1007/s11709-022-0859-4

Abstract: A 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.Moreover, the prediction accuracy of the CNN trained by the sample database for slope stability analysisIn particular, the combination of typical actual slopes and generated slope data provides enough training

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

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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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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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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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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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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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A data envelopment analysis of agricultural technical efficiency of Northwest Arid Areas in China

Yubao WANG, Lijie SHI, Haojie ZHANG, Shikun SUN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 195-207 doi: 10.15302/J-FASE-2017153

Abstract: This paper adopted an input-oriented data envelopment analysis (DEA) method with the assumption of variable

Keywords： agricultural production efficiency     DEA model     input redundancy     irrigation districts     Northwest Arid Areas in China    

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Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations

Wengang ZHANG, Libin TANG, Hongrui LI, Lin WANG, Longfei CHENG, Tingqiang ZHOU, Xiang CHEN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1247-1261 doi: 10.1007/s11709-020-0655-y

Abstract: Based on the statistical features of the last 3-year monitored data and field instrumentations, the landslideannual cycle and four representative periods was investigated via the deterministic and probabilistic analysisThe probabilistic analysis results reveal that the initial sliding surface is the most important areaThe seepage calculations from probabilistic analysis imply that rainfall is a relatively inferior factor

Keywords： reliability analysis     Bazimen landslide     rainfall     reservoir water level     slope stability    

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A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Frontiers of Structural and Civil Engineering   Pages 667-684 doi: 10.1007/s11709-022-0822-4

Abstract: The study uses the hardening soil (HS) model to develop a 200-sample finite element analysis (FEA) databaseThe uncertainty of this data-driven system is partially investigated by developing 1000 RFC models, basedon the application of random sampling technique in the data splitting process.Investigation on the distribution of the evaluation metrics reveals negative skewed data toward the 1.0000

Keywords： finite element analysis     cantilever sheet wall     machine learning     artificial neural network     random forest    

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Application of Big Data Analysis Methods for Technology Foresight in Strategic Emerging Industries

Liu Yufei, Zhou Yuan, Liao Ling

Strategic Study of Chinese Academy of Engineering 2016, Volume 18, Issue 4,   Pages 121-128 doi: 10.15302/J-SSCAE-2016.04.018

Abstract: Delphi expert analysis is currently the most popular method for technology foresight.This method is undermined by a lack of reliabe and valid big data to support expert experience.The authors propose a new method for patent and technical document analysis for the use of technology

Keywords： technology foresight     bibliometric     patent analysis     big data analysis     emerging industry    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management   Pages 486-498 doi: 10.1007/s42524-022-0215-3

Abstract: Electricity consumption is one of the major contributors to greenhouse gas emissions. In this study, we build a power consumption carbon emission measurement model based on the operating margin factor. We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects (emission intensity, power generation structure, consumption electricity intensity, economic scale, population structure, and population scale) and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China’s economic development and population changes. Moreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies. The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.

Keywords： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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Study of operation optimization based on data mining technique in power plants

LI Jianqiang, LIU Jizhen, GU Junjie, NIU Chenglin

Frontiers in Energy 2007, Volume 1, Issue 4,   Pages 457-462 doi: 10.1007/s11708-007-0067-1

Abstract: The determination of operation optimization value is very important for economic analysis and operation

Keywords： traditional     optimization     determination     economic analysis     important    

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The analysis on structure safety monitoring data of Three Gorges Project in construction and operation

Yang Aiming,Duan Guoxue,Ma Nengwu

Strategic Study of Chinese Academy of Engineering 2011, Volume 13, Issue 7,   Pages 117-122

Abstract:

Based on 17 year monitoring data of the Three Gorges Project (TGP), the

Keywords： Three Gorges Project (TGP)     structure     safety monitoring     data analysis    

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Title Author Date Type Operation

Slope stability analysis based on big data and convolutional neural network

Journal Article

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

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

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

Zhuyuan Fang,Xiaowei Fan,Gong Chen

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

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

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

A data envelopment analysis of agricultural technical efficiency of Northwest Arid Areas in China

Yubao WANG, Lijie SHI, Haojie ZHANG, Shikun SUN

Journal Article

Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations

Wengang ZHANG, Libin TANG, Hongrui LI, Lin WANG, Longfei CHENG, Tingqiang ZHOU, Xiang CHEN

Journal Article

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Journal Article

Application of Big Data Analysis Methods for Technology Foresight in Strategic Emerging Industries

Liu Yufei, Zhou Yuan, Liao Ling

Journal Article

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Journal Article

Study of operation optimization based on data mining technique in power plants

LI Jianqiang, LIU Jizhen, GU Junjie, NIU Chenglin

Journal Article

The analysis on structure safety monitoring data of Three Gorges Project in construction and operation

Yang Aiming,Duan Guoxue,Ma Nengwu

Journal Article