Resource Type

Journal Article 1927

Year

2024 3

2023 161

2022 157

2021 137

2020 133

2019 110

2018 100

2017 90

2016 75

2015 93

2014 77

2013 63

2012 58

2011 68

2010 88

2009 92

2008 76

2007 77

2006 39

2005 36

open ︾

Keywords

numerical simulation 18

high-quality development 16

model 15

model test 15

mathematical model 14

different 10

kinetic model 8

optimization 8

sensitivity analysis 8

COVID-19 7

China 7

three-dimensional 7

Deep learning 6

Machine learning 6

finite element method 6

simulation 6

constitutive model 5

high speed railway 5

High-throughput sequencing 4

open ︾

Search scope:

排序： Display mode:

Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 367-376 doi: 10.1007/s11708-018-0584-9

Abstract: In this paper, the random sampling-high dimensional model representation (RS-HDMR) methods were employed

Keywords： ignition delay     random sampling     high dimensional model representation     n-heptane     fuel kinetics    

HTML PDF Collect

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: , database, mathematical model, graphics language, natural language, etc.representation model is necessary.According 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    

HTML PDF Collect

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: methods cannot fully extract fault information to recognize mechanical health states when processing high-dimensionalTherefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNN) is proposed in this study to accomplish fault recognition of high-dimensional samples.functions are trained through dimension reduction learning to obtain different fault features from high-dimensionalLastly, a 2D DCNN model with multi-layer convolution and pooling is used to automatically learn features

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

HTML PDF Collect

Fictitious soil pile model for dynamic analysis of pipe piles under high-strain conditions

Frontiers of Structural and Civil Engineering   Pages 915-934 doi: 10.1007/s11709-023-0907-8

Abstract: A fictitious soil pile (FSP) model is developed to simulate the behavior of pipe piles with soil plugsundergoing high-strain dynamic impact loading.The developed model simulates the base soil with a fictitious hollow pile fully filled with a soil plugThe motions of the pile−soil system are solved by discretizing them into spring-mass model based on thefor pipe piles in field tests subjected to impact loading, validate the accuracy of the proposed model

Keywords： fictitious soil pile     soil plug     pipe piles     high-strain dynamic analysis     one-dimensional wave theory    

HTML PDF Collect

Design and calibration of a new high-definition three-dimensional laparoscopic system

Jia TANG,Li-qiang WANG,Bo YUAN,Hong JIANG,Qi-ming ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 79-84 doi: 10.1631/FITEE.1400149

Abstract: We present a high-definition (HD) 3D laparoscopic system including a dual channel optical system, twoThis laparoscopic system is capable of outputting dual high-definition videos and providing vivid 3DA modified pinhole camera model is used for camera calibration and a new method of depth measurement

Keywords： Dual optical channels     Three dimensional     Camera calibration     Pinhole model     Depth measurement     Laparoscopic    

HTML PDF Collect

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: The use of artificial intelligence to process sensor data and predict the dimensional accuracy of machinedIn this study, we develop a predictive model of the dimensional accuracy for precision milling of thin-walledfeatures of a structural component—squares, slots, and holes—into various categories based on their dimensionalerrors (i.e., “high precision,” “pass,” and “unqualified”).be capable of predicting dimensional accuracy using cutting parameters (i.e., “static features”) and

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

HTML PDF Collect

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causalityThe model contained 132 variables of symptoms, signs, and serological and imaging parameters.The overall diagnostic accuracy rate of the model was 96.5%.In conclusion, the diagnostic accuracy of the AI model is promising and may compensate for the limitation

Keywords： knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

HTML PDF Collect

Three-dimensional composite Li metal anode by simple mechanical modification for high-energy batteries

Frontiers in Energy 2023, Volume 17, Issue 5,   Pages 569-584 doi: 10.1007/s11708-023-0875-7

Abstract: to be the “Holy Grail” among all anode materials for next-generation Li-based batteries due to its highIt is well accepted that the construction of three-dimensional (3D) composite Li metal anode could tackleIn spite of their effectiveness, these procedures bring multiple complex processing steps, high temperature

Keywords： lithium (Li)-ion battery (LIB)     Li metal battery     three-dimensional (3D) composite Li metal anode     mechanical    

HTML PDF Collect

Uncertainty in Knowledge Representation

Li Deyi

Strategic Study of CAE 2000, Volume 2, Issue 10,   Pages 73-79

Abstract:

Knowledge representation in AI has been a bottleneck for years.

Keywords： knowledge representation     qualitative concept     uncertainty     cloud model     digital characteristics    

HTML PDF Collect

Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-FidelityAircraft Model Article

Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M. Maiyar, Abrar Al-Hindi, Michal Weiszer, Jun Chen

Engineering 2021, Volume 7, Issue 4,   Pages 495-506 doi: 10.1016/j.eng.2021.01.009

Abstract: However, state-of-the-art routing and scheduling algorithms for airport ground movements do not consider high-fidelityThis paper proposes a new approach for generating efficient four-dimensional trajectories (4DTs) on thebasis of a high-fidelity aircraft model and gainscheduling control strategy.

Keywords： Aircraft model     Intelligent taxiing     Optimization     Four-dimensional trajectory    

HTML PDF Collect

A two-dimensional numerical model for eutrophication in Baiyangdian Lake

Xudong WANG, Shushen ZHANG, Suling LIU, Jingwen CHEN

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 815-824 doi: 10.1007/s11783-011-0383-6

Abstract: An eutrophication eco-dynamics model including the effects of reed resistance on flow was coupled withThe model simulates water quality constituents associated with eutrophication in the lake, includingThe values calculated by the calibrated model agree well with field data, including ammonia nitrogen,Deviations between model-simulated and observed values are discussed.As an ideal tool for environmental management of the lake, this model can be used to predict its water

Keywords： eutrophication     eco-dynamics     hydrodynamics     improved Water Quality Analysis Simulation Program (WASP) model    

HTML PDF Collect

Two-dimensional SnS2 nanosheets on Prussian blue template for high performance sodium ion batteries

Glenn J. Sim, Kakui Ma, Zhixiang Huang, Shaozhuan Huang, Ye Wang, Huiying Yang

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 3,   Pages 493-500 doi: 10.1007/s11705-019-1826-z

Abstract: Three-dimensional Prussian blue (PB) nanostructures was obtained via a one-step hydrothermal method.Subsequently, two-dimensional tin disulfide (SnS ) nanosheets were grown onto PB through a facile hydrothermal

Keywords： Prussian blue     carbon nanocubes     tin disulfide     sodium ion batteries    

HTML PDF Collect

Study on three-dimensional numerical model for shallow water flow

Ding Daoyang,Wu Shiqiang

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 32-39

Abstract:

A three-dimensional numerical model for shallow flow based on a layer-integratedThe experiment data in mending channel flow is selected to verify the proposed model.Therefore, the present 3D shallow flow model is a robust and efficient tool for simulating the shallow

Keywords： three-dimensional flow model     numerical simulation     mending channel     shallow water flow    

HTML PDF Collect

Three-dimensional numerical modeling of single geocell-reinforced sand

Xiaoming YANG, Jie HAN, Robert L. PARSONS, Dov LESHCHINSKY,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 233-240 doi: 10.1007/s11709-010-0020-7

Abstract: This paper summarizes the development of a three-dimensional numerical model for analyzing single geocell-reinforcedIn this model, the infill soil was modeled using the Duncan-Chang model, which can simulate non-linearityA linear interface stress-strain relationship with a Mohr-Coulomb yield criterion was adopted to modelTo verify this model, a plate load test was conducted in the laboratory, in which a 12-cm-thick sandA numerical model was created according to the setup of the load test.

Keywords： geosynthetic reinforcement     geocell     numerical model     FLAC3D    

HTML PDF Collect

Development of an analytical model to estimate the churning losses in high-speed axial piston pumps

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-021-0671-1

Abstract: The axial piston pumps in aerospace applications are often characterized by high-speed rotation to achieveduring operation, leading to considerable churning losses (more than 10% of total power losses) at highThe churning losses deserve much attention at the design stage of high-speed axial piston pumps, butThe presented analytical model provides practical guidelines for reducing the churning losses in high-speed

Keywords： axial piston pump     rotating parts     high rotational speed     churning losses     drag torque    

HTML PDF Collect

Title Author Date Type Operation

Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Fictitious soil pile model for dynamic analysis of pipe piles under high-strain conditions

Journal Article

Design and calibration of a new high-definition three-dimensional laparoscopic system

Jia TANG,Li-qiang WANG,Bo YUAN,Hong JIANG,Qi-ming ZHU

Journal Article

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

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article

Three-dimensional composite Li metal anode by simple mechanical modification for high-energy batteries

Journal Article

Uncertainty in Knowledge Representation

Li Deyi

Journal Article

Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-FidelityAircraft Model

Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M. Maiyar, Abrar Al-Hindi, Michal Weiszer, Jun Chen

Journal Article

A two-dimensional numerical model for eutrophication in Baiyangdian Lake

Xudong WANG, Shushen ZHANG, Suling LIU, Jingwen CHEN

Journal Article

Two-dimensional SnS2 nanosheets on Prussian blue template for high performance sodium ion batteries

Glenn J. Sim, Kakui Ma, Zhixiang Huang, Shaozhuan Huang, Ye Wang, Huiying Yang

Journal Article

Study on three-dimensional numerical model for shallow water flow

Ding Daoyang,Wu Shiqiang

Journal Article

Three-dimensional numerical modeling of single geocell-reinforced sand

Xiaoming YANG, Jie HAN, Robert L. PARSONS, Dov LESHCHINSKY,

Journal Article

Development of an analytical model to estimate the churning losses in high-speed axial piston pumps

Journal Article