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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2, Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: A locally weighted learning method is also proposed to utilize the processed feature set to produce theThe proposed model is simple and easy to use with parameters optimized automatically.

Keywords： forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component analysis (PCA) locallyweighted learning model

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Pyogenic liver abscess as initial presentation in locally advanced right colon cancer invading the liver

Kai Qu, Chang Liu, Aasef M A Mansoor, Bo Wang, Jincai Chen, Liang Yu, Yi Lv

Frontiers of Medicine 2011, Volume 5, Issue 4, Pages 434-437 doi: 10.1007/s11684-011-0157-3

Abstract: Locally advanced colorectal cancer complicated with adjacent organic invasion may remain confined toHowever, the clinical manifestation of locally advanced colon cancer was extremely complicated.

Keywords： liver abscess locally advanced colon cancer multiorganic invasion

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: problem of lacking data adaptiveness in the nearest neighborhood graph construction procedure, a robust locally

Keywords： View-invariant Action recognition Multi-view learning L1-norm Local learning

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Pharmaceutical compounds in aquatic environment in China: locally screening and environmental risk assessment

Yongshan CHEN,Xiuping XI,Gang YU,Qiming CAO,Bin WANG,François VINCE,Youwei HONG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3, Pages 394-401 doi: 10.1007/s11783-014-0653-1

Abstract: An environmental risk assessment was performed for pharmaceutical compounds present in the aquatic environment of China. Predicted environmental concentration ( ) of the compounds were calculated according to European Medicines Evaluation Agency (EMEA) guidelines. Available ecotoxicological data compromised by applying a very conservative assessment factor ( ) were employed to calculate the predicted no-effect concentration ( ). The screening principle and the risk assessment were based on risk quotient ( ), which derived from the and related values. results indicated that all the compounds except sulfadimethoxine and levocarnitine, should carry out phase II risk assessment in EMEA guideline. values suggested that more than 36 pharmaceuticals may be imposed health threats to the aquatic environment; especially the antibiotic therapeutic class including amoxicillin, sulfasalazine, trimethoprim, oxytetracycline and erythromycin showed high values. These substances with high value ( ≥1) were regarded as top-priority pharmaceuticals for control in the aquatic environment of China. However, the antibiotic substances which had low risk quotient ( <1), should be reassessed by its potentially induced resistance under low concentration in future.

Keywords： pharmaceuticals aquatic environment risk assessment aquatic toxicity risk quotient

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Locally enhanced electric field treatment (LEEFT) for water disinfection

Jianfeng Zhou, Ting Wang, Cecilia Yu, Xing Xie

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 5, doi: 10.1007/s11783-020-1253-x

Abstract: Here, a nanowire-enabled disinfection method, locally enhanced electric field treatment (LEEFT), is introduced

Keywords： Water treatment Nanotechnology Pathogen inactivation Electroporation Nanowire Chemical-free

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Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9, Pages 1234-1246 doi: 10.1631/FITEE.2000426

Abstract:

It is necessary to construct an adaptive model to cope with process non-stationaries.In this study, a novel quality-related locally weighted soft sensing method is designed for non-stationary

Keywords：软测量；有监督贝叶斯网络；隐变量；局部加权建模；质量预测

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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

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

18 Apr 2022

Keywords：工程管理

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

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Elevated temperature creep model of parallel wire strands

Frontiers of Structural and Civil Engineering Pages 1060-1071 doi: 10.1007/s11709-023-0981-y

Abstract: analyze their creep behavior, this study experimentally investigated the elevated temperature creep modelThe parameters in the general empirical formula, the Bailey–Norton model, and the composite time-hardeningmodel were fitted based on the experimental results.By evaluating the accuracy and form of the models, the composite time-hardening model, which can simultaneously

Keywords： parallel wire strands experimental study elevated temperature creep model

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Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Frontiers of Engineering Management 2018, Volume 5, Issue 2, Pages 195-201 doi: 10.15302/J-FEM-2017052

Abstract: In this work, we examine the impact of crude distillation unit (CDU) model errors on the results of refinery-wideWe compare the swing cut+ bias CDU model with a recently developed hybrid CDU model (Fu et al., 2016)The hybrid CDU model computes material and energy balances, as well as product true boiling point (TBPCase studies of optimal operation computed using a planning model that is based on the swing cut+ biasCDU model and using a planning model that incorporates the hybrid CDU model are presented.

Keywords： impact of model accuracy on production planning swing cut+ bias CDU model hybrid CDU model refinery feedstock

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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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Digital twin-assisted gearbox dynamic model updating toward fault diagnosis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0748-0

Abstract: One of the core challenges of intelligent fault diagnosis is that the diagnosis model requires numerousGenerating training data using a virtual model is a potential solution for addressing such a problem,and the construction of a high-fidelity virtual model is fundamental and critical for data generationIn this study, a digital twin-assisted dynamic model updating method for fault diagnosis is thus proposedhelical gearbox; the virtual data generated by this model can be used for gear fault diagnosis.

Keywords： digital twin gearbox model construction model updating physical–virtual interaction

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4, Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: The composite load is a combination of the static and dynamic load model.To develop this composite load model, the exponential load is used as a static load model and inductionmotors (IMs) are used as a dynamic load model.This aggregate model is used as a dynamic load model.of static load and for the fifth and third order IM dynamic load model using state space model.

Keywords： isolated hybrid power system (IHPS) composite load model static load dynamic load induction motor loadmodel aggregate load

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Initiation of Setaria as a model plant

Xianmin DIAO,James SCHNABLE,Jeffrey L. BENNETZEN,Jiayang LI

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 1, Pages 16-20 doi: 10.15302/J-FASE-2014011

Abstract: Model organisms such as Arabidopsis ( ) and rice ( ) have proven essential for efficient scientific discoverysome important processes such as C photosynthesis are not found in either Arabidopsis or rice, so new modeldomesticated foxtail millet ( ) and its wild ancestor, green foxtail ( ), have recently been proposed as novel modelThis review outlines the development of these species as model organisms, and discusses current challengesand future potential of a Setaria model.

Keywords： Setaria foxtail millet C₄ photosynthesis model organism