Resource Type

Journal Article 963

Conference Videos 8

Year

2023 67

2022 79

2021 66

2020 71

2019 47

2018 42

2017 43

2016 40

2015 49

2014 43

2013 38

2012 40

2011 34

2010 46

2009 44

2008 37

2007 36

2006 26

2005 26

2004 20

open ︾

Keywords

model 15

model test 15

numerical simulation 15

mathematical model 14

kinetic model 10

COVID-19 7

uncertainty 7

Deep learning 6

optimization 6

sensitivity analysis 6

constitutive model 5

China 4

Machine learning 4

development model 4

numerical model 4

sustainable development 4

FEM 3

artificial neural network 3

dynamic model 3

open ︾

Search scope:

排序: Display mode:

General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of exponentialmodel

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0681-7

Abstract: problems of robots are usually decomposed into several Paden–Kahan subproblems based on the product of exponentialmodel.

Keywords: inverse kinematics     Paden–Kahan subproblems     three-joint subproblems     product of exponential     closed-form    

Exponential polynomial uniform splines model

Zhao Yanli,Ping Ping,Liu Fengyu

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 147-152

Abstract:

 A new model of k( k ≥ 3) order exponential polynomial uniformspline is given.Most of its properties similar to those of the B - spline model, and also it has anThe spline curves which are constructed by the exponential polynomial uniform splines can adjust theThe new model can be applied to the field of CAD/CAM.

Keywords: exponential polynomial uniform spline function     uniform B - spline function     shape parameter    

Reaction kinetics of CaC

Renxing Wang,Zhenyu Liu,Leiming Ji,Xiaojin Guo,Xi Lin,Junfei Wu,Qingya Liu

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 4,   Pages 517-525 doi: 10.1007/s11705-016-1585-z

Abstract: Kinetic models were obtained from the TGA data using isoconversional and model-fitting methods.reaction kinetics of both the powder and the compressed feeds can be described by the contracting volume modelThe apparent activation energy and pre-exponential factor of the powder feed were estimated to 346–354

Keywords: calcium carbide     kinetic model     activation energy     pre-exponential factor    

Correcting Model of Viscosity with Exponential Function Derived and Its Application

Qu Qingwen,Wang Mei,Chai Shan,Yao Fusheng

Strategic Study of CAE 2001, Volume 3, Issue 10,   Pages 53-58

Abstract: According to the theory of interaction of molecules and basic definition of hydromechanics, correcting modelof viscosity with exponential function is derived.law of change of fluid viscosity in micro-clearance, and thus the rationale is provided for theoretic model

Keywords: adsorbent layer     viscosity     thin film lubrication     bearing    

Ultrasonic linear motor using the L-B mode Langevin transducer with an exponential horn

SHI Shengjun, CHEN Weishan, LIU Junkao, ZHAO Xuetao

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 212-217 doi: 10.1007/s11465-008-0026-1

Abstract: An ultrasonic linear motor is proposed and fabricated by using the longitudinal and bending vibration double mode bolt-clamped Langevin type transducer to meet high power and speed requirements in the aerospace and semiconductor ind

Keywords: longitudinal     vibration     bolt-clamped     semiconductor     ultrasonic    

Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 94-97

Abstract:

Exponential smoothing is an efficient method for forecasting and decision-making The forecasting model of exponential smoothing to forecast the displacement at Observation PointAccording to the characteristics of observation forecast formula with linear trend of the twice exponentialsmoothing,  appropriate formulae calculating at,  bt and suitable exponential smoothing valueAnd it shows that this model may be well applied to the forecast of the displacement in the deformation

Keywords: exponential smoothing     forecasting slope displacement self-adaptive filtering    

Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process regression

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: , the features related to the capacity degradation of LIBs are utilized to train the neural network modeldistance is considered to have a similar degradation pattern, which is used to determine the initial Dual ExponentialModel (DEM).

Keywords: lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

Parameter estimation in exponential models by linear and nonlinear fitting methods Article

Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 434-444 doi: 10.1631/FITEE.1601683

Abstract: Estimation of unknown parameters in exponential models by linear and nonlinear fitting methods is discussed

Keywords: Exponential model     Parameter estimation     Linear least squares     Nonlinear fitting    

Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 487-498 doi: 10.15302/J-FEM-2018042

Abstract:

This study investigates an energy-aware flow shop scheduling problem with a time-dependent learning effect. The relationship between the traditional and the proposed scheduling problem is shown and objective is to determine a job sequence in which the total energy consumption is minimized. To provide an efficient solution framework, composite lower bounds are proposed to be used in a solution approach with the name of Bounds-based Nested Partition (BBNP). A worst-case analysis on shortest process time heuristic is conducted for theoretical measurement. Computational experiments are performed on randomly generated test instances to evaluate the proposed algorithms. Results show that BBNP has better performance than conventional heuristics and provides considerable computational advantage.

Keywords: flow shop     energy-aware scheduling     learning effect     nested partition     worst-case error bound    

Metabolic flux analysis on arachidonic acid fermentation

JIN Mingjie, HUANG He, ZHANG Kun, YAN Jie, GAO Zhen

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 4,   Pages 421-426 doi: 10.1007/s11705-007-0077-6

Abstract: A model of metabolic flux analysis of arachidonic acid (AA) synthesis in ME-1 was established and carbonDuring the exponential, decelerating and stationary phase, carbon fluxes to AA were 3.28%, 8.80% and

Keywords: AA     different fermentation     concentration N-source     exponential     metabolic    

Exponential response electrical pole-changing method for a five-phase induction machine with a current Article

Jia-qiang YANG, Rong-sen YIN, Xiao-jun ZHANG, Jin HUANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1151-1166 doi: 10.1631/FITEE.1601728

Abstract: To reduce the torque ripple and speed fluctuation of the machine, we investigate an exponential responseapplied instead of conventional proportional integral (PI) controllers to adjust the current vectors, and exponential

Keywords: Five-phase induction machine     Pole-change     Sliding-mode control     Exponential response     Torque ripple    

New results on impulsive type inertial bidirectional associativememory neural networks Research Articles

Chaouki AOUITI, Mahjouba Ben REZEG, Yang CAO

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 324-339 doi: 10.1631/FITEE.1900181

Abstract: New and practical conditions are given to study the existence, uniqueness, and global exponential stability

Keywords: Inertial neural networks     Anti-periodic solutions     Global exponential stability     Impulsive effect     Time-varying    

Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract: methods include predicate logic, semantic network, computer programming language, database, mathematical modelintrinsic link between various knowledge representation methods, a unified knowledge representation modelAccording to ontology, system theory, and control theory, a standard model of knowledge representationThe model is composed of input, processing, and output.In addition, the standard model of knowledge representation provides a way to solve problems of non-precision

Keywords: knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Strategic Study of CAE 2004, Volume 6, Issue 3,   Pages 68-74

Abstract: The relevant underlying physical assumptions are presented first and the conventional model performance

Keywords: compartment     field model     zone model     network model     FZN (field     zone and network) model     empirical model    

Title Author Date Type Operation

General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of exponentialmodel

Journal Article

Exponential polynomial uniform splines model

Zhao Yanli,Ping Ping,Liu Fengyu

Journal Article

Reaction kinetics of CaC

Renxing Wang,Zhenyu Liu,Leiming Ji,Xiaojin Guo,Xi Lin,Junfei Wu,Qingya Liu

Journal Article

Correcting Model of Viscosity with Exponential Function Derived and Its Application

Qu Qingwen,Wang Mei,Chai Shan,Yao Fusheng

Journal Article

Ultrasonic linear motor using the L-B mode Langevin transducer with an exponential horn

SHI Shengjun, CHEN Weishan, LIU Junkao, ZHAO Xuetao

Journal Article

Research of the Exponential Smoothing Technology forForecasting Slope Displacement

Shen Liangfeng

Journal Article

Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process regression

Journal Article

Parameter estimation in exponential models by linear and nonlinear fitting methods

Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG

Journal Article

Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Journal Article

Metabolic flux analysis on arachidonic acid fermentation

JIN Mingjie, HUANG He, ZHANG Kun, YAN Jie, GAO Zhen

Journal Article

Exponential response electrical pole-changing method for a five-phase induction machine with a current

Jia-qiang YANG, Rong-sen YIN, Xiao-jun ZHANG, Jin HUANG

Journal Article

New results on impulsive type inertial bidirectional associativememory neural networks

Chaouki AOUITI, Mahjouba Ben REZEG, Yang CAO

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

Zhang Zhengyan: Pre Training Language Model Integrating Knowledge (2020-4-3)

18 Apr 2022

Conference Videos

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Journal Article