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Yong-ping DU, Chang-qing YAO, Shu-hua HUO, Jing-xuan LIU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5, Pages 658-666 doi: 10.1631/FITEE.1601732
Keywords: Restricted Boltzmann machine Deep network structure Collaborative filtering Recommendation system
Shuyong CHEN, Xigang YUAN, Bo FU, Kuotsung YU
Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 4, Pages 448-454 doi: 10.1007/s11705-011-1142-8
Keywords: interfacial Marangoni convection lattice Boltzmann method gas-liquid mass transfer
Simulation on Flow Field Characteristic of Restricted Wall-attached Jet in Heading Face
Wang Haiqiao,Liu Ronghua,Chen Shiqiang
Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 45-49
Pressed ventilation in heading face is actually a restrained wall-attached jet ventilation in confined space. In this paper, based on hydrcxlynamic and jet theory, the turbulence k-ε model of restrained wall-attached jet ventilation in heading face is set up and calculation boundary is analyzed. Combining with practice, and using PHOENICS3. 4 software of computational fluid dynamics (CFD), three - dimensional airflow field of the jet ventilation in heading face is simulated. The flow field characteristics such as the flow field zoning, the starting segment of jet, the attaching course of jet and the changing pattern of jet velocity are obtained by numerical simulation. According to result of numerical simulation, there are four zones in heading face, i. e. wall-attached jet zone, impact jet wall-attached zone, back flow zone and eddy zone. The starting segment length of attached jet is shorter than thar of free attached jet. After wall-attached jet formed completely, the axis velocity of wall is higher than that in air outlet. The result of numerical simulation agrees with that of experiment, which provides a dependable basis for further study of the air mass transport process, the reason of methane accumulation and the efficiency of air displacement in heading face.
Keywords: heading face restricted wall-attached jet k - ε model numerical simulation
Application of Porous Aerostatic Bearings in Three-axis Table
Du Jinming
Strategic Study of CAE 2005, Volume 7, Issue 1, Pages 65-68
Keywords: aerostatic bearings porous orifice restricted three-axis table
Numerical study on natural convection in a square enclosure containing a rectangular heated cylinder
Jianhua LU, Zhaoli GUO, Zhenhua CHAI, Baochang SHI,
Frontiers in Energy 2009, Volume 3, Issue 4, Pages 373-380 doi: 10.1007/s11708-009-0078-x
Keywords: natural convection buoyant regime heated cylinder lattice Boltzmann
Challenges of human–machine collaboration in risky decision-making
Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 89-103 doi: 10.1007/s42524-021-0182-0
Keywords: human–machine collaboration risky decision-making human–machine team and interaction task allocation human–machine relationship
Spatial prediction of soil contamination based on machine learning: a review
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil
Keywords: Soil contamination Machine learning Prediction Spatial distribution
Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1721-1
● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.
Keywords: Elemental composition Infrared spectroscopy Machine learning Moisture interference Solid waste Spectral
State-of-the-art applications of machine learning in the life cycle of solid waste management
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x
● State-of-the-art applications of machine learning (ML) in solid waste
Keywords: Machine learning (ML) Solid waste (SW) Bibliometrics SW management Energy utilization Life cycle
Luosi WEI, Zongxia JIAO
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 184-191 doi: 10.1007/s11465-009-0034-9
Keywords: machine vision visual location solder paste printing VisionPro
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5
● A novel integrated machine learning method to analyze O3
Keywords: Ozone Integrated method Machine learning
The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks
Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang
Strategic Study of CAE 2010, Volume 12, Issue 9, Pages 73-77
This paper proposed a speeding clustering algorithm of connectivity-credibility constrained random dispose which based on some other clustering algorithms. Simulation shows that this algorithm can get large cover of clustering, logical distributing and good stability. Comparing to the lowerst-ID clustering and highest-connectivity clustering algorithm, the algorithm can get less number of cluster-heads, more logical clustering, good communication between nodes and cluster-heads, steady networks, reduce communication cost of rebuilding, and can balance network's energy consume, prolong the networks life.
Keywords: wireless sensor networks connectivity-credibility clustering algorithm
Evaluation and prediction of slope stability using machine learning approaches
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 821-833 doi: 10.1007/s11709-021-0742-8
Keywords: slope stability factor of safety regression machine learning repeated cross-validation
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1, Pages 72-82 doi: 10.1007/s11709-013-0185-y
Keywords: earthquake cone penetration test liquefaction support vector machine (SVM) prediction
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 183-197 doi: 10.1007/s11705-021-2073-7
Keywords: machine learning flowsheet simulations constraints exploration
Title Author Date Type Operation
A new item-based deep network structure using a restricted Boltzmann machine for collaborative filtering
Yong-ping DU, Chang-qing YAO, Shu-hua HUO, Jing-xuan LIU
Journal Article
Simulation of interfacial Marangoni convection in gas-liquid mass transfer by lattice Boltzmann method
Shuyong CHEN, Xigang YUAN, Bo FU, Kuotsung YU
Journal Article
Simulation on Flow Field Characteristic of Restricted Wall-attached Jet in Heading Face
Wang Haiqiao,Liu Ronghua,Chen Shiqiang
Journal Article
Numerical study on natural convection in a square enclosure containing a rectangular heated cylinder
Jianhua LU, Zhaoli GUO, Zhenhua CHAI, Baochang SHI,
Journal Article
Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning
Journal Article
State-of-the-art applications of machine learning in the life cycle of solid waste management
Journal Article
Research and application of visual location technology for solder paste printing based on machine vision
Luosi WEI, Zongxia JIAO
Journal Article
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Journal Article
The research of connectivity-credibility restricted clustering algorithm in wireless sensor networks
Yu Jiming,Sun Yamin,Lei Yanjing,Yang Yuwang
Journal Article
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Journal Article