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The Mathematic Model of Medium-sized Agro-ecological Engineering

Bian Yousheng,Liu Laifu,Xu Rumei

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 39-44

Abstract: The state variables and the control variables for each branch room are given and the mathematical models

Keywords： mathematic model     agro-ecological engineering     state variables     control variables    

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Current understanding and applications of the cold sintering process

Tong Yu, Jiang Cheng, Lu Li, Benshuang Sun, Xujin Bao, Hongtao Zhang

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 4,   Pages 654-664 doi: 10.1007/s11705-019-1832-1

Abstract: The review will also include the applications of CSP in solid-state rechargeable batteries.

Keywords： cold sintering process     processing variables     solid-state rechargeable batteries    

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Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

Vineet JAIN,Tilak RAJ

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 218-232 doi: 10.1007/s11465-014-0309-7

Abstract: The purpose of this paper is to make a model and analysis of the productivity variables of FMS.ISM has been used to develop a model of productivity variables, and then it has been analyzed.The twenty productivity variables are identified through literature and four factors extracted, whichattribute decision making (MADM) methodology used to find intensity/quantification of productivity variables

Keywords： FMS     ISM     EFA     SEM     GTMA    

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High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 288-295 doi: 10.1007/s11709-013-0210-1

Abstract: current reliability methods for the determination of the load and resistance factors, the basic random variablesHowever, in reality, the probability distributions of some of the basic random variables are often unknownIn this paper, the high-order moment methods for LRFD including random variables with unknown probabilityand resistance factors can be determined even when the probability distributions of the basic random variables

Keywords： high-order moment methods     applicable range     load and resistance factors     target mean resistance    

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Automatic discovery of stateful variables in network protocol software based on replay analysis Research Article

Jianxin HUANG, Bo YU, Runhao LIU, Jinshu SU

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 403-416 doi: 10.1631/FITEE.2200275

Abstract: is usually characterized by complicated functions and a vast state space.Discovering such variables is significant in discovering and exploiting vulnerabilities in protocol softwareBased on recording and replaying a protocol program's execution, varieties of variables in the life cycle

Keywords： Stateful variables     Network protocol software     Program analysis technology     Network security    

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: In the past, tactile sensation was the primary method used by surgeons to understand the state of theTherefore, it has become the focus of spinal surgery research so as to strengthen the objectivity of tissue stateThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 247-258 doi: 10.1007/s11708-015-0364-8

Abstract: The Indian government, as well as different state governments, are adopting policy instruments such asThis paper evaluates the effectiveness of state level incentives for the development of wind energy in

Keywords： India     wind energy development     state incentives     econometric analysis     panel data    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learningand classification blocks into an intelligent and compact learning system and detect the structural stateof a steel frame; the input was a series of vibration signals, and the output was a structural stateIt is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Biological pretreatment of corn stover by solid state fermentation of

Jian ZHANG, Xin REN, Wenqun CHEN, Jie BAO

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 2,   Pages 146-151 doi: 10.1007/s11705-012-1220-6

Abstract: Solid state fermentation of corn stover with the white-rot fungus was carried out and the efficiencywas biologically pretreated for nine days, and the hydrolysis yield decreased sharply if the solid state

Keywords： biological pretreatment     Phanerochaete chrysosporium     solid state fermentation     biorecalcitrance    

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Development of a constitutive model for rockfills and similar granular materials based on the disturbed state

Mehdi VEISKARAMI, Ali GHORBANI, Mohammadreza ALAVIPOUR

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4,   Pages 365-378 doi: 10.1007/s11709-012-0178-2

Abstract: further, the stress-strain curve shows an elasto-plastic behavior which suggests using the disturbed state

Keywords： constitutive model     granular material     rockfill     plasticity     disturbed state concept     stress level    

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locally weighted soft sensing for non-stationary processes by a supervised Bayesian network with latent variables Research Articles

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

Abstract: proposed method outperforms competitive methods in terms of the accuracy of predicting key quality variables

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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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Frontiers in Energy doi: 10.1007/s11708-023-0891-7

Abstract: analyses the application of machine learning (ML), one of the many branches of AI, to lithium-ion battery state

Keywords： machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia Pacific

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 448-458 doi: 10.15302/J-FASE-2017172

Abstract: In addition, ClimateAP generates a large number of biologically relevant climate variables derived fromprimary monthly variables.

Keywords： biologically relevant climate variables     downscaling     dynamic local regression     future climate     historical    

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Firm Innovation Systems: Perspectives of Researches on State-owned Key Enterprises

Jin Chen,Shu-fang Huang,Qing-rui Xu

Frontiers of Engineering Management 2015, Volume 2, Issue 1,   Pages 64-70 doi: 10.15302/J-FEM-2015017

Abstract: relationship between each innovation system, and the role in the enterprise innovation especially the State-ownedinnovation, so as to provide a theoretical and practical basis for the design and improvement of the State-owned

Keywords： firm innovation system     state-owned key enterprises     ecology     evolution    

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Modeling and analysis of steady-state vibration induced by backlash in servo rotary table

Xiao YANG,Dun LU,Sanli LIU,Jun ZHANG,Wanhua ZHAO

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1,   Pages 43-47 doi: 10.1007/s11465-015-0327-0

Abstract: Steady-state vibration may be induced by backlash in closed loop feed drive systems.as position controller gain, velocity controller gain, load and the magnitude of backlash, on steady-stateThe steady-state vibration amplitude increases with the position controller gain, load and the magnitudeThe steady-state vibration frequency increases with the position controller gain and the velocity controller

Keywords： backlash     servo rotary table     steady-state vibration    

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Title Author Date Type Operation

The Mathematic Model of Medium-sized Agro-ecological Engineering

Bian Yousheng,Liu Laifu,Xu Rumei

Journal Article

Current understanding and applications of the cold sintering process

Tong Yu, Jiang Cheng, Lu Li, Benshuang Sun, Xujin Bao, Hongtao Zhang

Journal Article

Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

Vineet JAIN,Tilak RAJ

Journal Article

High-order moment methods for LRFD including random variables with unknown probability distributions

Zhao-Hui LU, Yan-Gang ZHAO, Zhi-Wu YU

Journal Article

Automatic discovery of stateful variables in network protocol software based on replay analysis

Jianxin HUANG, Bo YU, Runhao LIU, Jinshu SU

Journal Article

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Journal Article

Effectiveness of state incentives for promoting wind energy: A panel data examination

Deepak SANGROYA,Jogendra NAYAK

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Biological pretreatment of corn stover by solid state fermentation of

Jian ZHANG, Xin REN, Wenqun CHEN, Jie BAO

Journal Article

Development of a constitutive model for rockfills and similar granular materials based on the disturbed state

Mehdi VEISKARAMI, Ali GHORBANI, Mohammadreza ALAVIPOUR

Journal Article

locally weighted soft sensing for non-stationary processes by a supervised Bayesian network with latent variables

Journal Article

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Journal Article

ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia Pacific

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Journal Article

Firm Innovation Systems: Perspectives of Researches on State-owned Key Enterprises

Jin Chen,Shu-fang Huang,Qing-rui Xu

Journal Article

Modeling and analysis of steady-state vibration induced by backlash in servo rotary table

Xiao YANG,Dun LU,Sanli LIU,Jun ZHANG,Wanhua ZHAO

Journal Article