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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-seriesThe 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-series    

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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. Most measurements of SNA methods are certainty oriented, while in reality, the uncertainties in relationships are widely spread to be overridden. In this paper, fuzzy concept is introduced to model the uncertainty, and a similarity metric is used to build a fuzzy relation model among individuals in the social network. The traditional social network is transformed into a fuzzy network by replacing the traditional relations with fuzzy relation and calculating the global fuzzy measure such as network density and centralization. Finally, the trend of fuzzy network evolution is analyzed and predicted with a fuzzy Markov chain. Experimental results demonstrate that the fuzzy network has more superiority than the traditional network in describing the network evolution process.

Keywords： Time-series network     Fuzzy network     Fuzzy Markov chain    

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A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based 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: The consideration of multiple factors makes model fusion more effective.Second, the series of DO, water temperature, salinity, and oxygen saturation are decomposed adaptivelyinto 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 islands

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

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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: Various time series (TS) methods were adopted for identifying the leading indicators or predictors ofcontained 23 potential leading indicators (predictors or input variables) of accidents (output or dependent variable

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

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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    

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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-series

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

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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 seriesassociated with various parameters such as insulin sensitivity/secretion (all P < 0.01), and multiple

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

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Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0691-5

Abstract: This study traces the development of dexterous hand research and proposes a novel antagonistic variablefinger mechanism not only achieves passive compliance against physical impacts, but also implements the variable

Keywords： multifingered hand     mechanism design     robot safety     variable stiffness actuator    

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A neural network-based production process modeling and variable importance analysis approach in corn

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: In this paper, a neural network-based production process modeling and variable importance analysis approachdimensionality reduction, multilayer perceptron/convolutional neural network/recurrent neural network based modelingUltimately, variable importance analysis is carried out by the extended weight connection method, and

Keywords： big data     corn to sugar factory     neural network     variable importance analysis    

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Vectorial Eigenmode Analysis of Optical Waveguides Based on the Variable Transformed Series Expansion

Xiao Jinbiao,Sun Xiaohan,Zhang Mingde,Ding Dong

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 49-53

Abstract: Vectorial eigenmodes supported by the buried rectangular and rib optical waveguides are obtained using variabletransformed series expansion method.The infinite x-y plane is mapped into a unit square by an elegant tangent-type variable transformation

Keywords： variable transformed series expansion method     optical waveguides     vectorial eigenmode analysis    

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Electromagnetic interference modeling and suppression techniques in variable-frequency drive systems

Le YANG, Shuo WANG, Jianghua FENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 329-353 doi: 10.1007/s11465-018-0466-1

Abstract: Electromagnetic interference (EMI) causes electromechanical damage to the motors and degrades the reliability of variable-frequencyIn this article, EMI modeling techniques for different function units in a VFD system, including inductionThe EMI models for the motors are categorized based on modeling techniques and model topologies.Modeling techniques for conventional rectifier-inverter systems are also summarized.

Keywords： variable-frequency drive (VFD)     electromagnetic interference (EMI)     motor drive modeling     EMI noise suppression    

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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    

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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    

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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:

A composite Air Health Index (AHI) is helpful for separately emphasizing the health risks of multipleBased 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    

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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    

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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 Based

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

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

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

Journal Article

Mechanical design, modeling, and identification for a novel antagonistic variable stiffness dexterous

Journal Article

A neural network-based production process modeling and variable importance analysis approach in corn

Journal Article

Vectorial Eigenmode Analysis of Optical Waveguides Based on the Variable Transformed Series Expansion

Xiao Jinbiao,Sun Xiaohan,Zhang Mingde,Ding Dong

Journal Article

Electromagnetic interference modeling and suppression techniques in variable-frequency drive systems

Le YANG, Shuo WANG, Jianghua FENG

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

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

Li Xuejun,Bin Guangfu,Wang Yuqing

Journal Article