Resource Type

Journal Article 1815

Conference Videos 34

Conference Information 2

Year

2024 1

2023 83

2022 141

2021 131

2020 102

2019 122

2018 103

2017 109

2016 77

2015 99

2014 88

2013 76

2012 89

2011 83

2010 80

2009 57

2008 82

2007 101

2006 50

2005 28

open ︾

Keywords

finite element analysis 29

sensitivity analysis 25

analysis 17

numerical analysis 17

simulation 17

different 12

risk analysis 12

China 11

dynamic analysis 11

meta-analysis 11

artificial neural network 10

finite element method 10

optimization 7

correlation analysis 6

engineering 6

isogeometric analysis 6

regression analysis 6

reliability 6

reliability analysis 6

open ︾

Search scope:

排序： Display mode:

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 426-439 doi: 10.1007/s11708-018-0560-4

Abstract: innovation in smart energy monitoring technologies, the identification of appropriate methods for detailed time-seriesanalysis, and the application of these technologies at urban and national scales.The real-time SEMS data and time-series clustering to explore similarities in electricity consumption

Keywords： electricity monitoring     electricity demand prediction     multiple-variable time-series modeling     time-seriescluster analysis     Indonesia    

HTML PDF Collect

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: Social network analysis (SNA) is among the hottest topics of current research.

Keywords： Time-series network     Fuzzy network     Fuzzy Markov chain    

HTML PDF Collect

A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Basedon 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: this paper, a new DO hybrid forecasting model is proposed that includes three stages: multi-factor analysisinto sub-series by means of the empirical wavelet transform (EWT) method.Then, five benchmark models are utilized to forecast the sub-series of EWT decomposition.The performance of the proposed model is verified by time-series data collected by the pacific islandsExample analysis demonstrates that: ① the proposed model can obtain excellent DO forecasting results;

Keywords： Dissolved oxygen concentrations forecasting     Time-series multi-step forecasting     Multi-factor analysis    

HTML PDF Collect

Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

Wenqiang SUN, Jiuju CAI, Hai YU, Lei DAI

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 265-270 doi: 10.1007/s11783-011-0284-8

Abstract: The logarithmic mean divisia index (LMDI) technique was applied with period-wise analysis and time-seriesanalysis.

Keywords： carbon dioxide (CO2) emissions     decomposition analysis     logarithmic mean divisia index (LMDI) technique     time-series analysis    

HTML PDF Collect

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 15-24 doi: 10.1007/s11465-009-0015-z

Abstract: The typical time series models such as ARMA, AR, and MA are founded on the normality and stationarityThis paper proposes a general expression for linear and nonlinear auto-regressive time series modelsThe modeling and prediction accuracy of the GNAR model is superior to the classical time series models

Keywords： linear and nonlinear     autoregressive model     system identification     time series analysis    

HTML PDF Collect

Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 262-274 doi: 10.1007/s42524-019-0015-6

Abstract: Thus, this work describes how temporal analysis techniques can be applied to improve the safety managementVarious time series (TS) methods were adopted for identifying the leading indicators or predictors ofFive projects with complete and sufficient data for temporal analysis were selected from the data setThis study provides insights into how construction companies can utilize TS data analysis to identify

Keywords： time series     temporal     construction safety     leading indicators     accident prevention     forecasting    

HTML PDF Collect

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Frontiers of Medicine 2023, Volume 17, Issue 1,   Pages 68-74 doi: 10.1007/s11684-022-0955-9

Abstract: Most information used to evaluate diabetic statuses is collected at a special time-point, such as takingBy calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropyanalysis of the CGM data, the study showed for the first time that the complexity of glucose time series

Keywords： complexity of glucose time series     continuous glucose monitoring     impaired glucose regulation     insulin    

HTML PDF Collect

Time Series Diagnosing Analysis for the Fatigue Crack of Large-scale and Heavyburden Supporting Shafts

Li Xuejun,Bin Guangfu,Wang Yuqing

Strategic Study of CAE 2006, Volume 8, Issue 4,   Pages 50-53

Abstract: vibration signal characteristic, the model of the vibration signal is established by the method of timeseries.Residual (σtime-frequency

Keywords： large-scale and heavyburden machine     supporting shaft     concealment part     fatigue crack     time series    

HTML PDF Collect

Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 89-92

Abstract: According to the theory that the present data contains more future information than historical data in time-seriessupport vector machine,and develops algorithm of the extended prediction model.Prediction examples of two time-series

Keywords： least square support vector machine     generalization     time series     forecasting    

HTML PDF Collect

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumptionthat the series was predictable.

Keywords： nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

HTML PDF Collect

The Establishment of a New Air Health Index Integrating the Mortality Risks Due to Ambient Air Pollution and Non-Optimum Temperature Article

Qingli Zhang, Renjie Chen, Guanjin Yin, Xihao Du, Xia Meng, Yang Qiu, Haidong Kan, Maigeng Zhou

Engineering 2022, Volume 14, Issue 7,   Pages 156-162 doi: 10.1016/j.eng.2021.05.006

Abstract: Based on the exposure-response (E-R) coefficients obtained from time-series models, the new AHI was constructed

Keywords： Air pollution     Temperature     Air Health Index     Mortality     Time-series     Risk communication    

HTML PDF Collect

Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 612-625 doi: 10.1007/s11708-019-0647-6

Abstract: It applies a cluster approach, aiming to identify whether the high emitters comprise clusters where householdsin each cluster share similar characteristics but are different from the others.Policymakers should target each high-emitter cluster differently to reduce CO emissions from energy

Keywords： cluster analysis     emissions reduction     energy use     high emitters     household energy consumption     socioeconomic    

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: At the same time, combined with spectrum analysis of the autoregressive model of quality parameters,

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

HTML PDF Collect

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 238-245 doi: 10.1007/s11783-011-0382-7

Abstract: To enhance the prediction accuracy, principal factors were determined through the analysis of the weightrelation between influencing factors and forecasting object using cluster analysis method, which optimized

Keywords： water quality forecast     principal factor     cluster analysis method     artificial neural network    

HTML PDF Collect

Fuzzy cluster analysis of tapered roller bearing vibration

Liu Jinjun,Xia Xintao,Zhang Lihong

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 112-117

Abstract:

By using the fuzzy cluster analysis of grey system theory to analysis

Keywords： tapered roller bearing     vibration     fuzzy cluster analysis    

HTML PDF Collect

Title Author Date Type Operation

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Journal Article

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Journal Article

A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Basedon Multi-Factor Analysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

Wenqiang SUN, Jiuju CAI, Hai YU, Lei DAI

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Journal Article

Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

Journal Article

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Journal Article

Time Series Diagnosing Analysis for the Fatigue Crack of Large-scale and Heavyburden Supporting Shafts

Li Xuejun,Bin Guangfu,Wang Yuqing

Journal Article

Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

The Establishment of a New Air Health Index Integrating the Mortality Risks Due to Ambient Air Pollution and Non-Optimum Temperature

Qingli Zhang, Renjie Chen, Guanjin Yin, Xihao Du, Xia Meng, Yang Qiu, Haidong Kan, Maigeng Zhou

Journal Article

Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Journal Article

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Journal Article

Fuzzy cluster analysis of tapered roller bearing vibration

Liu Jinjun,Xia Xintao,Zhang Lihong

Journal Article