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A survey of model-driven techniques and tools for cyber-physical systems

Bo Liu, Yuan-rui Zhang, Xue-lian Cao, Yu Liu, Bin Gu, Tie-xin Wang,liubocq@swu.edu.cn,gubinbj@sina.com,tiexin.wang@nuaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11,   Pages 1535-1670 doi: 10.1631/FITEE.2000311

Abstract: Among other approaches to dealing with the complex design issues, model-driven design of CPSs has shownIn this review paper, we present a survey of research on model-driven development of CPSs.are an inevitable choice in building CPSs and further research effort is needed in the development of model-driven
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Generating native user interfaces formultiple devices by means ofmodel transformation

Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 995-1017 doi: 10.1631/FITEE.1500083

Abstract: To address this issue, we propose the generation of native user interfaces (UIs) by means of model transformationsLIZARD allows the definition of applications at a high level of abstraction, and applies model transformations

Keywords： Model-to-model transformation     Native user interfaces     Model-based user interfaces     Model-driven engineering    

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Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking Research Article

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1647-1656 doi: 10.1631/FITEE.2300348

Abstract: This paper proposes a hybrid-driven approach for tracking multiple highly maneuvering targets, leveragingthe advantages of both and model-based algorithms.The time-varying constant velocity model is integrated into the (GP) of to improve the performanceThrough the simulations, it has been demonstrated that the hybrid-driven approach exhibits significantperformance improvements in comparison with widely used algorithms such as the interactive multi-model

Keywords： Target tracking     Gaussian process     Data-driven     Online learning     Model-driven     Probabilistic data association    

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Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 85-97 doi: 10.1631/FITEE.1400111

Abstract: Why is it important to verify/validate model transformations?Verified/validated model transformations make it possible to ensure certain properties of the generatedFor example, a verified/validated model transformation can ensure the preservation of certain propertiesduring the model-to-model transformation.of a novel test-driven method for verifying/validating model transformations.

Keywords： Graph rewriting based model transformations     Verification/validation     Test-driven verification    

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A real-life stability model for a large shield-driven tunnel in heterogeneous soft soils

Xinyu HU, Zixin ZHANG, Scott KIEFFER

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 2,   Pages 176-187 doi: 10.1007/s11709-012-0149-7

Abstract: This paper presents a real-life face stability model to determine the minimal pressure needed at thetunnel face for a large shield-driven tunnel in heterogeneous soft soils.The suggested M-M model is developed by considering the influence of the heterogeneity of the soil onmixed-layer soils are conducted, and the effects of the involved parameters for a large, multilayered, shield-driven

Keywords： analytical solution     shield-driven tunnel     multilayered soil     face stability    

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Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 311-321 doi: 10.1007/s11709-019-0593-8

Abstract: The use of data driven models has been shown to be useful for simulating complex engineering processesIn this study, four data-driven models, namely multiple linear regression, artificial neural network,In addition for each model, two different sets of input variables are examined: a complete set and ato the equations of NIST Technical Note standard and demonstrate the suitability of using the data drivenaddition, the results show employing the parsimonious set of input variables is sufficient for the data driven

Keywords： data driven model     compressive strength     concrete     high temperature    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management   Pages 486-498 doi: 10.1007/s42524-022-0215-3

Abstract: In this study, we build a power consumption carbon emission measurement model based on the operatingMoreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and

Keywords： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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Novel power capture optimization based sensorless maximum power point tracking strategy and internal modelcontroller for wind turbines systems driven SCIG

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 742-756 doi: 10.1007/s11708-017-0462-x

Abstract: based on fuzzy logic, and the control strategy of the generator is implemented by means of an internal modelBased on the simulation results of a six KW-WECS model in Matlab/Simulink, the presented control system

Keywords： optimization     wind energy conversion system     maximum power point tracking (MPPT)     fuzzy logic     internal model    

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AML1-ETO driven acute leukemia: insights into pathogenesis and potential therapeutic approaches

Megan A. Hatlen, Lan Wang, Stephen D. Nimer

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 248-262 doi: 10.1007/s11684-012-0206-6

Abstract:

The AML1-ETO fusion transcription factor is generated by the t(8;21) translocation, which is present in approximately 4%–12% of adult and 12%–30% of pediatric acute myeloid leukemia (AML) patients. Both human and mouse models of AML have demonstrated that AML1-ETO is insufficient for leukemogenesis in the absence of secondary events. In this review, we discuss the pathogenetic insights that have been gained from identifying the various events that can cooperate with AML1-ETO to induce AML in vivo. We also discuss potential therapeutic strategies for t(8;21) positive AML that involve targeting the fusion protein itself, the proteins that bind to it, or the genes that it regulates. Recently published studies suggest that a targeted therapy for t(8;21) positive AML is feasible and may be coming sometime soon.

Keywords： AML1-ETO     mouse model     leukemia     t(8     21)     pathway hits     mutation     hematopoiesis     Kasumi-1     CD34+    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: The model is comprised of self-organizing-map and the neural network parts.Development of the MISR model of hydrocracking unit also benefits from the utilization of prior knowledgeyields and properties than the previously introduced self-organizing-map convolutional neural network modelMoreover, the MISR model has smoother error convergence than the previous model.Numerical experiments show that the MISR model is suitable for modeling nonlinear conversion units which

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Optimal Antibody Purification Strategies Using Data-Driven Models Article

Songsong Liu, Lazaros G. Papageorgiou

Engineering 2019, Volume 5, Issue 6,   Pages 1077-1092 doi: 10.1016/j.eng.2019.10.011

Abstract: Data-driven models of chromatography throughput are developed considering loaded mass, flow velocity,minimize the total cost of goods per gram of the antibody purification process, incorporating the data-driven

Keywords： Antibody purification     Multiscale optimization     Antigen-binding fragment     Mixed-integer programming     Data-drivenmodel     Piecewise linear regression    

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An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 301-310 doi: 10.1007/s11465-017-0449-7

Abstract:

A novel data-driven method based on Gaussian mixture model (GMM) and distance evaluation technique

Keywords： Gaussian mixture model     distance evaluation technique     health state     remaining useful life     rolling bearing    

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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting.

Keywords： Long-short term memory neural network     Convolutional Neural Network     Wavelet multi-resolution analysis     Data-driven    

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State-of-the-art on theories and applications of cable-driven parallel robots

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0693-3

Abstract: Cable-driven parallel robot (CDPR) is a type of high-performance robot that integrates cable-driven kinematic

Keywords： cable-driven parallel robot     kinematics     optimization     dynamics     control    

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Design and modeling of continuum robot based on virtual-center of motion mechanism

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0739-6

Abstract: Then, the pseudo-rigid body (PRB) model of the leaf is extended to the VCM mechanism, and the stiffnessFinally, experiments and simulations are used to validate the accuracy and validity of the PRB model

Keywords： VCM mechanism     continuum robot     flexural joint     pseudo-rigid body model     cable-driven    

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Title Author Date Type Operation

A survey of model-driven techniques and tools for cyber-physical systems

Bo Liu, Yuan-rui Zhang, Xue-lian Cao, Yu Liu, Bin Gu, Tie-xin Wang,liubocq@swu.edu.cn,gubinbj@sina.com,tiexin.wang@nuaa.edu.cn

Journal Article

Generating native user interfaces formultiple devices by means ofmodel transformation

Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ

Journal Article

Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Journal Article

Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Journal Article

A real-life stability model for a large shield-driven tunnel in heterogeneous soft soils

Xinyu HU, Zixin ZHANG, Scott KIEFFER

Journal Article

Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Journal Article

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Journal Article

Novel power capture optimization based sensorless maximum power point tracking strategy and internal modelcontroller for wind turbines systems driven SCIG

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

Journal Article

AML1-ETO driven acute leukemia: insights into pathogenesis and potential therapeutic approaches

Megan A. Hatlen, Lan Wang, Stephen D. Nimer

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Optimal Antibody Purification Strategies Using Data-Driven Models

Songsong Liu, Lazaros G. Papageorgiou

Journal Article

An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng PENG, Junsheng CHENG, Yanfei LIU, Xuejun LI, Zhihua PENG

Journal Article

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

State-of-the-art on theories and applications of cable-driven parallel robots

Journal Article

Design and modeling of continuum robot based on virtual-center of motion mechanism

Journal Article