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Variation characteristics of atmospheric methane and carbon dioxide in summertime at a coastal site in the South China Sea

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 11, doi: 10.1007/s11783-022-1574-z

Abstract:

● Diurnal patterns of CH4 and CO2 are clearly extracted using EEMD.

Keywords： Methane     Carbon dioxide     Diurnal pattern     Ensemble empirical mode decomposition     South China Sea     Sea    

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Relative vibration identification of cutter and workpiece based on improved bidimensional empirical modedecomposition

Jiasheng LI, Xingzhan LI, Wei WEI, Pinkuan LIU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 227-239 doi: 10.1007/s11465-020-0587-1

Abstract: In this study, the bidimensional empirical mode decomposition (BEMD) method is used to identify suchThe decomposition examples show that the improved BEMD can effectively solve the problem of boundaryThe decomposition results of simulation and experimental surface morphology demonstrate the validity

Keywords： bidimensional empirical mode decomposition     spatial spectrum analysis     boundary effect     vibration identification    

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A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1316-1331 doi: 10.1631/FITEE.2200621

Abstract: imbalance problem between supply and demand for taxis and passengers, this paper proposes a distributed ensembleempirical mode decomposition with normalization of spatial attention mechanism based bi-directional

Keywords： Passenger hotspot prediction     Ensemble empirical mode decomposition (EEMD)     Spatial attention mechanism    

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Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble Article

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Engineering 2021, Volume 7, Issue 12,   Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023

Abstract: DO hybrid forecasting model is proposed that includes three stages: multi-factor analysis, adaptive decomposition, and an optimization-based ensemble.temperature, salinity, and oxygen saturation are decomposed adaptively into sub-series by means of the empiricalThen, five benchmark models are utilized to forecast the sub-series of EWT decomposition.Finally, a multi-factor ensemble model for DO is obtained by weighted allocation.

Keywords： Dissolved oxygen concentrations forecasting     Time-series multi-step forecasting     Multi-factor analysis     Empiricalwavelet transform decomposition     Multi-model optimization ensemble    

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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isThe proposed identification method can straightforwardly extract the mode shape vectors using the modalThe results of the present method are compared with those of the empirical mode decomposition-based method

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

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Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 66-69

Abstract:

The filtering property of empirical mode decomposition is analyzed in the paper.

Keywords： fault diagnosis     empirical mode decomposition     cyclic machine     filter    

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone

Keywords： metamodel     ensemble of metamodels     hybrid error measure     stochastic problem    

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Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station, Heihe River Basin, China

Chenglong ZHANG,Mo LI,Ping GUO

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 81-96 doi: 10.15302/J-FASE-2016112

Abstract: technique was used to simulate these stochastic components with normal distribution, and thus a new ensemble

Keywords： Monte Carlo     nonstationary     trend detection     streamflow prediction     decomposition and ensemble     Yingluoxia    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of water quality.

Keywords： Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term    

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Prediction of the theoretical and semi-empirical model of ambient temperature

Foued CHABANE,Noureddine MOUMMI,Abdelhafid BRIMA,Abdelhafid MOUMMI

Frontiers in Energy 2016, Volume 10, Issue 3,   Pages 268-276 doi: 10.1007/s11708-016-0413-y

Abstract: It is well known that the ambient temperature is a sensitive parameter which has a great effect on biology, technology, geology and even on human behavior. A prediction is a statement about an uncertain event. It is often, but not always, based upon experience or knowledge. Although guaranteed accurate information about the future is in many cases impossible, prediction can be useful to assist in making plans about possible developments. As a result, temperature profiles can be developed which accurately represent the expected ambient temperature exposure that this environment experiences during measurement. The ambient temperature over time is modeled based on the previous and data and using a Lagrange interpolation. To observe the comprehensive variation of ambient temperature the profile must be determined numerically. The model proposed in this paper can provide an acceptable way to measure the change in ambient temperature.

Keywords： ambient temperature     environment     correlation     theoretical model     semi-empirical    

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Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 251-267 doi: 10.15302/J-FEM-2018086

Abstract: In Ethiopian construction projects, schedule delay risk is a predominant issue because it is not properly addressed. Although several studies have been focused on the various effects of risk in construction projects, limited efforts have been made to investigate the typical and the overall schedule delay risk. In this study, our aim is to detect the typical and overall schedule delay risk throughout the construction project lifecycle, which consists of the pre-construction, construction, and post-construction stages, and compare the stages with each other. Common criteria, sub-criteria, and attributes were developed for all alternatives for the purpose of making a risk decision. The methodology that was followed integrated the multiple-criteria decision-making (MCDM) model of fuzzy analytic hierarchy process comprehensive evaluation (FAHPCE) and the relative important index (RII). Data were collected from 77 participants, who were selected through purposive sampling from different contracting organizations in Ethiopian construction projects by means of questionnaires that were distributed to experienced experts. The findings showed that there is a typical delay risk either in the type or in the level of the different construction activities. Consequently, the most influenced alternative is the construction stage because of the high-risk responsibility, resource, and contract condition related criteria. The post-construction stage was the second most influenced stage because of the high-risk responsibility-related criteria. The pre-constructed stage was the least influenced stage that consist high-risk criteria of responsibility, resource, and contract condition related. These differences provided noteworthy information about risk mitigation in construction projects by identifying the exact risk level on specific activity to make appropriate decision.

Keywords： fuzzy analytic hierarchy process comprehensive evaluation     construction project     detection of delay risk     relative important index    

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Decomposition analysis applied to energy and emissions: A literature review

Frontiers of Engineering Management   Pages 625-639 doi: 10.1007/s42524-023-0270-4

Abstract: Decomposition analysis has been widely used to assess the determinants of energy and CO2 emissionsBoth the methodology and application of decomposition analysis have been largely improved in the pastAfter more than 50 years’ developments, decomposition studies have become increasingly sophisticatedemerging trends and features for the decomposition analysis literature as a whole.The findings are expected to direct future research in decomposition analysis.

Keywords： index decomposition analysis     structural decomposition analysis     production decomposition analysis     energy    

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Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sorting genetic algorithm-II

Frontiers of Structural and Civil Engineering   Pages 1428-1441 doi: 10.1007/s11709-023-0998-2

Abstract: object, and its natural vibration characteristics and dynamic response were first analyzed using the modedecomposition response spectrum method based on a three-dimensional finite element model.

Keywords： intake tower     NSGA-II     mode decomposition response spectrum method     anti-seismic engineering measures    

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Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 564-575 doi: 10.1007/s11709-022-0829-x

Abstract: This paper introduces the idea of ensemble deep learning.At the same time, the fully-connected network is applied as the meta-learner, and stacking ensemble learning

Keywords： water conveyance tunnels     siltation images     remotely operated vehicles     deep learning     ensemble learning    

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Title Author Date Type Operation

Variation characteristics of atmospheric methane and carbon dioxide in summertime at a coastal site in the South China Sea

Journal Article

Relative vibration identification of cutter and workpiece based on improved bidimensional empirical modedecomposition

Jiasheng LI, Xingzhan LI, Wei WEI, Pinkuan LIU

Journal Article

A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Journal Article

Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Noise Reduction of Vibration Signal of Cyclic Machine Based on the EMD

Yang Jianwen,Jia Minping,Xu Feiyun,Hu Jianzhong

Journal Article

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station, Heihe River Basin, China

Chenglong ZHANG,Mo LI,Ping GUO

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

Prediction of the theoretical and semi-empirical model of ambient temperature

Foued CHABANE,Noureddine MOUMMI,Abdelhafid BRIMA,Abdelhafid MOUMMI

Journal Article

Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Journal Article

Decomposition analysis applied to energy and emissions: A literature review

Journal Article

Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sorting genetic algorithm-II

Journal Article

Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Journal Article