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Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0681-7
Keywords: inverse kinematics Paden–Kahan subproblems three-joint subproblems product of exponential closed-form
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
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
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 value
Keywords: exponential smoothing forecasting slope displacement self-adaptive filtering
Exponential polynomial uniform splines model
Zhao Yanli,Ping Ping,Liu Fengyu
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 147-152
A new model of k( k ≥ 3) order exponential polynomial uniformThe spline curves which are constructed by the exponential polynomial uniform splines can adjust the
Keywords: exponential polynomial uniform spline function uniform B - spline function shape parameter
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
Frontiers of Engineering Management 2018, Volume 5, Issue 4, Pages 487-498 doi: 10.15302/J-FEM-2018042
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
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
Keywords: calcium carbide kinetic model activation energy pre-exponential factor
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
Keywords: AA different fermentation concentration N-source exponential metabolic
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
Keywords: Five-phase induction machine Pole-change Sliding-mode control Exponential response Torque ripple
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
Keywords: adsorbent layer viscosity thin film lubrication bearing
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
Keywords: Exponential model Parameter estimation Linear least squares Nonlinear fitting
Frontiers in Energy doi: 10.1007/s11708-023-0906-4
Keywords: lithium-ion batteries RUL prediction double exponential model neural network Gaussian process regression
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
Keywords: Inertial neural networks Anti-periodic solutions Global exponential stability Impulsive effect Time-varying
Title Author Date Type Operation
General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of exponential
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
Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
Journal Article
Reaction kinetics of CaC
Renxing Wang,Zhenyu Liu,Leiming Ji,Xiaojin Guo,Xi Lin,Junfei Wu,Qingya Liu
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
Correcting Model of Viscosity with Exponential Function Derived and Its Application
Qu Qingwen,Wang Mei,Chai Shan,Yao Fusheng
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
Two-phase early prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process regression
Journal Article