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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 of

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

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 modelsoptimization method and modified AIC information criteria integrated with the prediction error, the parameter estimationThe 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    

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: By 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    

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    

A MATLAB code for the material-field series-expansion topology optimization method

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 607-622 doi: 10.1007/s11465-021-0637-3

Abstract: This paper presents a MATLAB implementation of the material-field series-expansion (MFSE) topo-logy optimizationWith the series-expansion method for bounded fields, this material field is described with the characteristic

Keywords: MATLAB implementation     topology optimization     material-field series-expansion method     bounded material    

Performance analysis of series/parallel and dual side LCC compensation topologies of inductive power

P. Srinivasa Rao NAYAK, Dharavath KISHAN

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 166-179 doi: 10.1007/s11708-018-0549-z

Abstract: This paper analyzes series/parallel (S/P) and dual side inductor-capacitor-capacitor (LCC) compensation

Keywords: series/parallel compensation     electric vehicle (EV)     dual side LCC compensation     inductive power transfer    

Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0758-y

Abstract: In this study, an effective material-field series-expansion (MFSE)-based topology optimization design

Keywords: nodal line     topology optimization     structural dynamics design     material-field series-expansion    

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: 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    

Long March 3 Series Launch Vehicle

Long Lehao

Strategic Study of CAE 1999, Volume 1, Issue 1,   Pages 11-18

Abstract: approach, system engineering, launch results and technical & development characteristics of LM - 3 series

Keywords: aerospace     heavy lift launch vehicle     launch services     LM - 3 series launch vehicle    

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    

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: results proves that the swarm tuned artificial neural network (ANN) estimator is best suited for accurate estimation

Keywords: artificial intelligence     power distribution control     state estimation    

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 801-816 doi: 10.1007/s11708-020-0687-y

Abstract: the mathematical model of the electricity-gas interconnected integrated energy system and its state estimationFinally, a distributed state estimation framework is formed by combining the synchronous alternatingdirection multiplier method to achieve an efficient estimation of the state of the integrated energymethod are only 0.0132% and 0.0864%, much lower than the estimation error by using the Lagrangian relaxationBesides, compared with the centralized estimation method, the proposed distributed method saves 5.42

Keywords: integrated energy system     state estimation     electricity-gas coupling energy system     nonlinear coupling     distributed    

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 524-532 doi: 10.15302/J-FEM-2018034

Abstract:

Residual life estimation is essential for reliability engineering.effectiveness and practicability of the proposed method are validated by comparing it with residual life estimation

Keywords: residual life estimation     Bayes model     linear Wiener process    

Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 2,   Pages 167-171 doi: 10.1007/s11705-009-0006-y

Abstract: The thermal degradation behaviors of polycarbonate/polymethylphenylsilsesquioxane (FRPC) composites were investigated by thermogravimetric analysis (TGA) under isothermal conditions in nitrogen atmosphere. The isothermal kinetics equation was used to describe the thermal degradation process. The results showed that activation energy ( ), in the case of isothermal degradation, was a quick increasing function of conversion (α) for polycarbonate (PC) but was a strong and decreasing function of conversion for FRPC. Under the isothermal condition, the addition of polymethylphenylsilsesquioxane (PMPSQ) retardanted the thermal degradation and enhanced the thermal stability of PC during the early and middle stages of thermal degradation. It also indicated a possible existence of a difference in nucleation, nuclei growth, and gas diffusion mechanism in the thermal degradation process between PC and FRPC. Meanwhile, the addition of PMPSQ influenced the lifetime of PC, but the composite still met the demand in manufacturing and application.

Keywords: polycarbonate     polymethylphenylsilsesquioxane     thermal degradation kinetics     activation energy     lifetime    

A relation spectrum inheriting Taylor series: muscle synergy and coupling for hand Research Article

Gang LIU, Jing WANG,gangliu.6677@gmail.com,wangpele@gmail.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 145-157 doi: 10.1631/FITEE.2000578

Abstract: There are two famous function decomposition methods in math: the and the Fourier series.The Fourier series developed into the Fourier spectrum, which was applied to signal decomposition and

Keywords: Taylor series     Relation spectrum     Dendrite net (DD)     Prosthetic hands     Machine learning     Engineering    

Title Author Date Type Operation

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

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

Journal Article

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

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

Journal Article

A MATLAB code for the material-field series-expansion topology optimization method

Journal Article

Performance analysis of series/parallel and dual side LCC compensation topologies of inductive power

P. Srinivasa Rao NAYAK, Dharavath KISHAN

Journal Article

Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology

Journal Article

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

Long March 3 Series Launch Vehicle

Long Lehao

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

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Journal Article

An operating state estimation model for integrated energy systems based on distributed solution

Dengji ZHOU, Shixi MA, Dawen HUANG, Huisheng ZHANG, Shilie WENG

Journal Article

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Journal Article

Thermal degradation kinetics and lifetime estimation for polycarbonate/polymethylphenylsilsesquioxane

Jiangbo WANG, Zhong XIN

Journal Article

A relation spectrum inheriting Taylor series: muscle synergy and coupling for hand

Gang LIU, Jing WANG,gangliu.6677@gmail.com,wangpele@gmail.com

Journal Article