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Long-term exposure to air pollution and cerebrovascular disease: findings from Beijing Health Management Cohort study

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1684-2

Abstract:

● This study explored the long-term association by double robustadditive models.

Keywords： Air pollution     Cerebrovascular disease     Incidence     Long-term exposure     Doubly robust additive model    

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Robust control based on the Lyapunov theory of a grid-connected doubly fed induction generator

Ridha CHEIKH, Arezki MENACER, Said DRID

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 191-196 doi: 10.1007/s11708-013-0245-y

Abstract: This paper discusses the robust control of a grid-connected doubly-fed induction generator (DFIG) controlledThe use of the state-all-flux induction machine model gives place to a simpler control model.

Keywords： doubly fed induction generator (DFIG)     vector control     Lyapunov function     power factor unity     active power    

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Robust direct power control based on the Lyapunov theory of a grid-connected brushless doubly fed induction

M. Abdelbasset MAHBOUB,Said DRID,M. A. SID,Ridha CHEIKH

Frontiers in Energy 2016, Volume 10, Issue 3,   Pages 298-307 doi: 10.1007/s11708-016-0411-0

Abstract: This paper deals with robust direct power control of a grid-connected brushless doubly-fed induction

Keywords： brushless doubly fed induction generator (BDFIG)     vector control     Lyapunov theory     power factor unity     active    

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Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 852-862 doi: 10.1007/s11709-019-0522-x

Abstract: focus of this paper is on the non-probabilistic-based design of new arch-type dams by applying means of robustAs a result, robust and reliable designs are obtained and the result is independent from any assumptionson stochastic properties of the random variables in the model.To reduce the computational cost, a ranking strategy and an approximation model are further involvedBy this means, the robust design can generate an improved arch dam structure that ensures both safety

Keywords： arch dam     shape optimization     robust optimization     load uncertainty     approximation model    

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A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0

Abstract: In this study, we develop a predictive model of the dimensional accuracy for precision milling of thin-walledthe popular machine learning methods has been evaluated in comparison with the proposed deep learning modelBased on the experimental data collected during the milling experiments, the proposed model proved toThe average classification accuracy obtained using the proposed deep learning model was 9.55% higherHence, the proposed hybrid model provides an efficient way of fusing different sources of process data

Keywords： precision milling     dimensional accuracy     cutting force     convolutional neural networks     coherent noise    

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SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting

Zhe Zheng, Lu Zhang, Xi Li, Shengshou Hu, on behalf of the Chinese CABG Registry Study

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 477-485 doi: 10.1007/s11684-013-0284-0

Abstract:

This study aims to construct a logistically derived additive score for predicting in-hospital mortalityThe data in the developmental dataset were used to develop the model using logistic regression.Thresholds were defined for each model to distinguish different risk groups.The SinoSCORE model was constructed based on 11 variables: age, preoperative NYHA stage III or IV, chronicA logistically derived additive model for predicting in-hospital mortality among Chinese patients undergoing

Keywords： coronary artery bypass grafting     risk stratification     in-hospital mortality    

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Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 595-614 doi: 10.1007/s42524-021-0173-1

Abstract: Different from most existing studies that assume deterministic parameters as model inputs, this paperproposes a robust energy-efficient train speed profile optimization approach by considering the uncertaintyThen, a percentile reliability model is proposed to generate a robust train speed profile, by which thein the PTS network and propose a model reformulation strategy to transform the original model into anequivalent linear programming model.

Keywords： robust train speed profile     percentile reliability model     scenario-based position–time–speed network    

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Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 321-334 doi: 10.1631/FITEE.1400170

Abstract: This paper presents a multiple target implementation technique for a doubly fed induction generator (Based on the mathematical model of DFIG under unbalanced and distorted voltage, the proportional and

Keywords： Direct power control     Doubly fed induction generator     Unbalanced and distorted grid voltage     Vector proportional    

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Understanding the role of nano-TiO on the toxicity of Pb on through modeling–Is it additive or synergistic

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 5, doi: 10.1007/s11783-021-1493-4

Abstract:

• A two-compartment model is able to quantify the effect of nano-TiO

Keywords：     Lead     Nano-TiO2     Synergistic toxicity     Two-compartment toxicokinetic-toxicodynamic model    

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Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 49-55 doi: 10.1007/s11708-012-0217-7

Abstract: This paper discusses the power outputs control of a grid-connected doubly-fed induction generator (DFIG

Keywords： doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factor    

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A robust optimization model considering probability distribution

Ding Ran,Li Qiqiang,Zhang Yuanpeng

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 70-73

Abstract:

Robust optimization is a method to process optimization problem undermodel is proposed.The feasible solutions of this model can be controlled to satisfy the robust index.This model can be used in the situations that both sides of the constraints contain stochastic parametersThe simulation results illustrate the validity of the model.

Keywords： uncertainty     robust optimization     stochastic programming     chance constraints    

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Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 257-264 doi: 10.1007/s11465-014-0294-x

Abstract: method has been introduced in literature which defines the robust solution as a set of solutions whoseThese criteria might be significant for robust optimization of single objective optimization problemsThe proposed method called Pareto lexicographic α-robust approach can define Paretolexicographic α-robust solutions from different scenarios by considering multipleThe presented method can be significant to implement on different multi objective robust optimization

Keywords： Pareto     lexicographic α-robust     assembly line balancing    

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Robust cross-modal retrieval with alignment refurbishment Research Article

Jinyi GUO, Jieyu DING,jinyi_g@njust.edu.cn,djy@qdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1403-1415 doi: 10.1631/FITEE.2200514

Abstract: Therefore, we propose a robust with alignment refurbishment (RCAR), which significantly reduces theimpact of noise on the model.Experimental results show that, compared with the popular methods, RCAR achieves more robust performance

Keywords： Cross-modal retrieval     Robust learning     Alignment correction     Beta-mixture model    

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Kinematic Model Building and Servo Parameter Identification of 3-HSS Parallel Mechanism

YANG Zhi-yong, WU Jiang, HUANG Tian, NI Yan-bing

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 60-66 doi: 10.1007/s11465-005-0019-2

Abstract:

Aiming at a parallel mechanism with three degrees of freedom, a method for dynamic model buildingposition, velocity, and acceleration of parallelogram branch structure are deduced, and then, its dynamic modelBased on the above model, a method to identify the servo parameter of the parallel mechanism is put upMoreover, the rotary inertia can also be identified by the additive mass.

Keywords： building     acceleration     additive     workspace     optimum performance    

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Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-InformedDeep Learning Model Article

Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu, Wenhe Liao

Engineering 2023, Volume 23, Issue 4,   Pages 181-195 doi: 10.1016/j.eng.2022.09.015

Abstract: The experiment provides fundamental data, the mechanistic model significantly augments the dataset, andthe multilayer perceptron (MLP) deep learning model predicts the molten pool dimensions and processparameters based on the dataset built from the experiment and the mechanistic model.The prediction accuracy of the MLP model largely depends on the quality of the dataset as well.novel and useful framework for the determination of process conditions and outcomes for intelligent additive

Keywords： Additive manufacturing     Molten pool     Model     Deep learning     Learnability    

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Title Author Date Type Operation

Long-term exposure to air pollution and cerebrovascular disease: findings from Beijing Health Management Cohort study

Journal Article

Robust control based on the Lyapunov theory of a grid-connected doubly fed induction generator

Ridha CHEIKH, Arezki MENACER, Said DRID

Journal Article

Robust direct power control based on the Lyapunov theory of a grid-connected brushless doubly fed induction

M. Abdelbasset MAHBOUB,Said DRID,M. A. SID,Ridha CHEIKH

Journal Article

Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Journal Article

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Journal Article

SinoSCORE: a logistically derived additive prediction model for post-coronary artery bypass grafting

Zhe Zheng, Lu Zhang, Xi Li, Shengshou Hu, on behalf of the Chinese CABG Registry Study

Journal Article

Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Journal Article

Multiple target implementation for a doubly fed induction generator based on direct power control under

Heng NIAN,Yi-peng SONG

Journal Article

Understanding the role of nano-TiO on the toxicity of Pb on through modeling–Is it additive or synergistic

Journal Article

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

A robust optimization model considering probability distribution

Ding Ran,Li Qiqiang,Zhang Yuanpeng

Journal Article

Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Journal Article

Robust cross-modal retrieval with alignment refurbishment

Jinyi GUO, Jieyu DING,jinyi_g@njust.edu.cn,djy@qdu.edu.cn

Journal Article

Kinematic Model Building and Servo Parameter Identification of 3-HSS Parallel Mechanism

YANG Zhi-yong, WU Jiang, HUANG Tian, NI Yan-bing

Journal Article

Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-InformedDeep Learning Model

Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu, Wenhe Liao

Journal Article