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A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregular Research Articles

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900321

Abstract: Considering this situation, we propose a many-objective evolutionary algorithm based on decompositionBy comparison with the weighted-sum approach and penalty-based boundary intersection approach, there

Keywords： Many-objective optimization problems     Irregular Pareto front     External archive     Dynamic resource allocation     Shift-baseddensity estimation     Tchebycheff approach    

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Coordinated shift control of nonsynchronizer transmission for electric vehicles based on dynamic tooth

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 887-900 doi: 10.1007/s11465-021-0653-3

Abstract: economic performance of electric vehicles (EVs), but the coordinated control of the drive motor and gear shiftTo improve the swiftness of gear shifting, this paper proposes a coordinated shift control method basedResults show that gear shifting duration and maximum jerk are reduced under the shift control with theproposed method, which proves the effectiveness of the proposed coordinated shift control method with

Keywords： electric vehicle     nonsynchronizer automated mechanical transmission (NSAMT)     planetary gear     coordinated shift    

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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    

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Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 390-405 doi: 10.1007/s11465-020-0588-0

Abstract: for about two decades, but it still has not been widely applied to practical engineering problems as density-basedOne of the reasons is that it acts as a boundary evolution algorithm, which is not as flexible as density-basedconstraint functions by incorporating one parameter, namely, level set band, to seamlessly combine LSM and density-based

Keywords： level set method     topology optimization     density-based method     level set band    

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Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1606-3

Abstract:

● Reducting the sampling frequency can enhance the modelling process.

Keywords： HDPE     Pyrolysis     Kinetics     Thermogravimetric     ANOVA     Artificial neural network    

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Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 169-186 doi: 10.1007/s11709-017-0385-y

Abstract: fragility curves without employing the above assumption, namely binned Monte Carlo simulation and kernel densityestimation.The curves obtained with the non-parametric approaches are compared with respective curves based on the

Keywords： earthquake engineering     fragility curves     lognormal assumption     non-parametric approach     kernel density estimation    

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Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Engineering doi: 10.1016/j.eng.2023.10.004

Abstract: Identifying workers’ construction activities or behaviors can enable managers to better monitor labor efficiency and construction progress. However, current activity analysis methods for construction workers rely solely on manual observations and recordings, which consumes considerable time and has high labor costs. Researchers have focused on monitoring on-site construction activities of workers. However, when multiple workers are working together, current research cannot accurately and automatically identify the construction activity. This research proposes a deep learning framework for the automated analysis of the construction activities of multiple workers. In this framework, multiple deep neural network models are designed and used to complete worker key point extraction, worker tracking, and worker construction activity analysis. The designed framework was tested at an actual construction site, and activity recognition for multiple workers was performed, indicating the feasibility of the framework for the automated monitoring of work efficiency.

Keywords： Pose estimation     Activity analysis     Object tracking     Construction workers     Automatic systems    

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Heterometallic cluster-based organic frameworks as highly active electrocatalysts for oxygen reductionand oxygen evolution reaction: a density functional theory study

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 5,   Pages 570-580 doi: 10.1007/s11705-022-2247-y

Abstract: oxygen reduction reaction and oxygen evolution reaction catalytic activities of heterometallic cluster-basedorganic frameworks are investigated using density functional theory.

Keywords： bimetallic metal–organic frameworks     bifunctional electrocatalyst     density functional theory     oxygen    

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Metal-based direct hydrogen generation as unconventional high density energy

Shuo XU, Jing LIU

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 27-53 doi: 10.1007/s11708-018-0603-x

Abstract: This paper comprehensively reviewed and digested the latest researches of the metal-based direct hydrogenthe energy capacities of various metals were summarized, and the application potentials of the metal-based

Keywords： metal     hydrogen generation     hydrolysis     metal water reaction     clean energy    

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The impact of different voltage application modes on biodegradation of chloramphenicol and shift of microbial

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 11, doi: 10.1007/s11783-022-1576-x

Abstract:

● Presented coupled system enhanced biodegradation of antibiotic chloramphenicol.

Keywords： Electrical stimulation     Biodegradation     Microbial community     Chloramphenicol    

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A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 382-392 doi: 10.1007/s11708-016-0421-y

Abstract: This paper presents a new neural network based model reference adaptive system (MRAS) to solve low speedtrained neural network rotor flux estimator as the adaptive model (FLUX-MRAS) for rotor resistance estimationThese lead to a significant error in the estimation of rotor resistance at low speed.
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Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems Article

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 6,   Pages 841-849 doi: 10.1631/FITEE.1700025

Abstract: We propose a novel method for joint two-dimensional (2D) direction-of-arrival (DOA) and channel estimationThe conventional DOA estimation algorithms usually assume that the channel impulse responses are knownIn contrast, a joint DOA and channel estimation scheme is proposed, which first estimates the channelAfter that, the DOAs of the waves are estimated based on a unitary ESPRIT algorithm using previous channel

Keywords： Two-dimensional (2D) direction-of-arrival (DOA) estimation     Channel impulse response estimation     Data    

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A novel period estimation method for X-ray pulsars based on frequency subdivision

Li-rong SHEN,Xiao-ping LI,Hai-feng SUN,Hai-yan FANG,Meng-fan XUE

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 858-870 doi: 10.1631/FITEE.1500052

Abstract: Period estimation of X-ray pulsars plays an important role in X-ray pulsar based navigation (XPNAV).The fast Lomb periodogram is suitable for period estimation of X-ray pulsars, but its performance inThis greatly restricts real-time autonomous navigation based on X-ray pulsars.To resolve this issue, a new method based on frequency subdivision and the continuous Lomb periodogram(CLP) is proposed to improve precision of period estimation using short-time observation data.

Keywords： Pulsar navigation     Period estimation     Frequency subdivision     Continuous Lomb periodogram    

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Enhanced activity of bimetallic Fe-Cu catalysts supported on ceria toward water gas shift reaction: synergistic

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 1962-1972 doi: 10.1007/s11705-023-2359-z

Abstract: Within the “hydrogen chain”, the high-temperature water gas shift reaction represents a key step to improveDespite the commercial application of the high-temperature water gas shift, novel catalysts characterized

Keywords： water gas shift     iron     copper     bimetallic catalysts     ceria     hydrogen    

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A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 448-460 doi: 10.1007/s11709-022-0805-5

Abstract: Thus, input estimation has become a hot research subject with which the full-field structural responseThis paper proposes a framework based on the dynamic stiffness theory, to estimate harmonic input, reconstructTo improve the damage-detection accuracy, a multi-measurement-based indicator has been proposed.

Keywords： dynamic stiffness     principal component analysis     response reconstruction     damage localization     under-determined equation    

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Title Author Date Type Operation

A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregular

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Journal Article

Coordinated shift control of nonsynchronizer transmission for electric vehicles based on dynamic tooth

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

Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Journal Article

Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric

Journal Article

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Journal Article

Construction Activity Analysis of Workers Based on Human Posture Estimation Information

Xuhong Zhou,Shuai Li,Jiepeng Liu,Zhou Wu,Yohchia Frank Chen,

Journal Article

Heterometallic cluster-based organic frameworks as highly active electrocatalysts for oxygen reductionand oxygen evolution reaction: a density functional theory study

Journal Article

Metal-based direct hydrogen generation as unconventional high density energy

Shuo XU, Jing LIU

Journal Article

The impact of different voltage application modes on biodegradation of chloramphenicol and shift of microbial

Journal Article

A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Journal Article

Joint DOA and channel estimation with data detection based on 2D unitary ESPRITin massive MIMO systems

Jing-ming KUANG, Yuan ZHOU, Ze-song FEI

Journal Article

A novel period estimation method for X-ray pulsars based on frequency subdivision

Li-rong SHEN,Xiao-ping LI,Hai-feng SUN,Hai-yan FANG,Meng-fan XUE

Journal Article

Enhanced activity of bimetallic Fe-Cu catalysts supported on ceria toward water gas shift reaction: synergistic

Journal Article

A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Journal Article