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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: Discovering such variables is significant in discovering and exploiting vulnerabilities in protocol softwareThe core idea is that a stateful variable features information of the communication entities and theBased on recording and replaying a protocol program's execution, varieties of variables in the life cycleexisting vulnerability knowledge to determine whether the data stored in critical memory areas have stateful

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

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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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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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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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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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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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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: In traditional ceramic processing techniques, high sintering temperature is necessary to achieve fully dense microstructures. But it can cause various problems including warpage, overfiring, element evaporation, and polymorphic transformation. To overcome these drawbacks, a novel processing technique called “cold sintering process (CSP)” has been explored by Randall et al. CSP enables densification of ceramics at ultra-low temperature (≤300°C) with the assistance of transient aqueous solution and applied pressure. In CSP, the processing conditions including aqueous solution, pressure, temperature, and sintering duration play critical roles in the densification and properties of ceramics, which will be reviewed. The review will also include the applications of CSP in solid-state rechargeable batteries. Finally, the perspectives about CSP is proposed.

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

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Causal Inference Review

Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, Zhichao Jiang

Engineering 2020, Volume 6, Issue 3,   Pages 253-263 doi: 10.1016/j.eng.2019.08.016

Abstract: Peng Ding, "Instrumental variables and negative controls for observational studies" from Prof

Keywords： Causal inference     Instructive variables     Negative control     Causal reasoning and explanation     Causal discovery    

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Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization Research Article

Jian DONG, Xia YUAN, Meng WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1390-1406 doi: 10.1631/FITEE.2100420

Abstract: high-isolation dual-band multiple-input multiple-output (MIMO) antenna with high-dimensional mixed design variables

Keywords： Antenna topology optimization     Multi-objective grey wolf optimizer     High-dimensional mixed variables    

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An algorithm for identifying symmetric variables based on the order eigenvalue matrix Article

Xiao-hua LI, Ji-zhong SHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1644-1653 doi: 10.1631/FITEE.1601052

Abstract: To simplify the process for identifying 12 types of symmetric variables in Boolean functions, we proposeBy analyzing the constraint conditions of the order eigenvalue matrix for 12 types of symmetric variables, an algorithm is proposed for identifying symmetric variables of the Boolean function.This algorithm can be applied to identify the symmetric variables of Boolean functions with or withoutThe proposed method avoids the restriction by the number of logic variables of the graphical method,

Keywords： Boolean function     Symmetric variable     Boolean logic algebra system     Order eigenvalue matrix     Truth table    

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Title Author Date Type Operation

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

Jianxin HUANG, Bo YU, Runhao LIU, Jinshu SU

Journal Article

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

Vineet JAIN,Tilak RAJ

Journal Article

The Mathematic Model of Medium-sized Agro-ecological Engineering

Bian Yousheng,Liu Laifu,Xu Rumei

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

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

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

Current understanding and applications of the cold sintering process

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

Journal Article

Causal Inference

Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, Zhichao Jiang

Journal Article

Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization

Jian DONG, Xia YUAN, Meng WANG

Journal Article

An algorithm for identifying symmetric variables based on the order eigenvalue matrix

Xiao-hua LI, Ji-zhong SHEN

Journal Article