Resource Type

Journal Article 894

Conference Videos 8

Year

2023 4

2022 66

2021 65

2020 70

2019 47

2018 42

2017 42

2016 40

2015 49

2014 43

2013 38

2012 40

2011 34

2010 46

2009 44

2008 36

2007 34

2006 26

2005 26

2004 20

open ︾

Keywords

model 16

numerical simulation 15

mathematical model 14

model test 14

kinetic model 10

COVID-19 7

uncertainty 7

sensitivity analysis 6

constitutive model 5

China 4

Deep learning 4

Machine learning 4

numerical model 4

optimization 4

sustainable development 4

dynamic model 3

finite element analysis 3

finite element method 3

optimization model 3

open ︾

Search scope:

排序: Display mode:

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 524-532 doi: 10.15302/J-FEM-2018034

Abstract: The Bayes model provides a feasible solution and can be a useful tool for fusing multisource informationIn this study, a Bayes model is proposed to estimate the residual life of products by fusing expert knowledgeThe linear Wiener process is used to model degradation data, whereas lifetime data are described via

Keywords: residual life estimation     Bayes model     linear Wiener process    

An Estimate Method of Parametric in Reliability Engineering

Han Ming

Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 3,   Pages 51-56

Abstract:

In this paper, the Bayesian method, an estimate method for parameter in reliability engineering is put forward. The author gives definition of the new Bayesian estimate for failure probability and failure rate, and shows the estimate of the failure probability and the failure rate by new Bayesian method. Finally, calculations are performed regarding to practical problems, which show that the new Bayesian method is feasible, easy to operate, and convenient to use for engineers and technicians in fieldwork.

Keywords: reliability engineering     parameter estimate     new Bayesian estimate     failure probability    

A new feature selection method for handling redundant information in text classification None

You-wei WANG, Li-zhou FENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 221-234 doi: 10.1631/FITEE.1601761

Abstract: three datasets (WebKB, 20-Newsgroups, and Reuters-21578) where in support vector machines and naïve Bayes

Keywords: selection     Dimensionality reduction     Text classification     Redundant features     Support vector machine     Naïve Bayes    

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    

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Strategic Study of Chinese Academy of Engineering 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    

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    

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    

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    

Four-protein model for predicting prognostic risk of lung cancer

Frontiers of Medicine   Pages 618-626 doi: 10.1007/s11684-021-0867-0

Abstract: combined with CEA, CA125, and CYFRA21-1 were used to construct a recursive partitioning decision tree modelto establish a four-protein diagnostic model and predict the survival of patients with lung cancer.

Keywords: lung cancer     HSP90β     decision tree model     prognosis    

The Construction of Tetrahedral Model of Engineering Ethical Evaluation

Jin Wang

Frontiers of Engineering Management 2014, Volume 1, Issue 1,   Pages 62-70 doi: 10.15302/J-FEM-2014009

Abstract: vividly expose the differences in people's way of understanding which inspires author's study of the modelWith four elements of the project —artifact, engineer, user and environment, a tetrahedral model of integrityIn this model, four "Lamps" — i. e, four elements of engineering — in four corners provide light whilefour "Mirrors" — the result of reflection of four elements — reflect whether the tetrahedral model can

Keywords: tetrahedral model     ethical evaluation     engineering     Lamps and Mirrors    

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    

Development of deep neural network model to predict the compressive strength of FRCM confined columns

Frontiers of Structural and Civil Engineering   Pages 1213-1232 doi: 10.1007/s11709-022-0880-7

Abstract: The present study describes a reliability analysis of the strength model for predicting concrete columnsFabric-Reinforced Cementitious Matrix (FRCM). through both physical models and Deep Neural Network modelThe database of 330 samples collected for the training model contains many important parameters, i.e.The ANN model with double hidden layers (APDL-1) was shown to be the best to predict the compressive

Keywords: FRCM     deep neural networks     confinement effect     strength model     confined concrete    

Methodologies for the establishment of an orthotopic transplantation model of ovarian cancer in mice

Cunjian Yi, Lei Zhang, Fayun Zhang, Li Li, Shengrong Ling, Xiaowen Wang, Xiangqiong Liu, Wei Liang

Frontiers of Medicine 2014, Volume 8, Issue 1,   Pages 101-105 doi: 10.1007/s11684-014-0315-5

Abstract:

This study used different methods to establish an animal model of orthotopic transplantation for ovarianOrthotopic transplantation model established with subcutaneous tumor piece implantation showed a betterThis model also displayed negligible response to artificial factors.This study successfully established an orthotopic transplantation model of ovarian cancer with high ratesThis study also provided a methodological basis for future establishment of an animal model of ovarian

Keywords: ovarian cancer     orthotopic transplantation     animal model    

Probabilistic model for vessel-bridge collisions in the Three Gorges Reservoir

Bo GENG , Hong WANG , Junjie WANG ,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 3,   Pages 279-285 doi: 10.1007/s11709-009-0044-z

Abstract: over the Yangtze River in the Three Gorges Reservoir, and an analysis of the geometric probabilistic modelvessels in collision probability calculation, the aberrancy angle and vessel velocity probabilistic modelrelated with impact force, a probabilistic model is established and also verified by goodness-of-fitThe vessel transit path distribution can be expressed by the normal distribution model.The aberrancy angle distribution of vessels accepts maximum I distribution model, and its distribution

Keywords: vessel-bridge collision     probabilistic model     parameter statistics    

Title Author Date Type Operation

Bayes estimation of residual life by fusing multisource information

Qian ZHAO, Xiang JIA, Zhi-jun CHENG, Bo GUO

Journal Article

An Estimate Method of Parametric in Reliability Engineering

Han Ming

Journal Article

A new feature selection method for handling redundant information in text classification

You-wei WANG, Li-zhou FENG

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

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

18 Apr 2022

Conference Videos

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Journal Article

Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Journal Article

Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Journal Article

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

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Journal Article

Four-protein model for predicting prognostic risk of lung cancer

Journal Article

The Construction of Tetrahedral Model of Engineering Ethical Evaluation

Jin Wang

Journal Article

Initiation of Setaria as a model plant

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

Journal Article

Development of deep neural network model to predict the compressive strength of FRCM confined columns

Journal Article

Methodologies for the establishment of an orthotopic transplantation model of ovarian cancer in mice

Cunjian Yi, Lei Zhang, Fayun Zhang, Li Li, Shengrong Ling, Xiaowen Wang, Xiangqiong Liu, Wei Liang

Journal Article

Probabilistic model for vessel-bridge collisions in the Three Gorges Reservoir

Bo GENG , Hong WANG , Junjie WANG ,

Journal Article