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A neural network-based production process modeling and variable importance analysis approach in corn

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: In this paper, a neural network-based production process modeling and variable importance analysis approach/recurrent neural network based modeling and extended weights connection method.LASSO analysis is first applied to reduce the data dimension to 155, then the inputs are dimensionalizedUltimately, variable importance analysis is carried out by the extended weight connection method, and20 of the most important sites are selected for each neural network.

Keywords： big data     corn to sugar factory     neural network     variable importance analysis    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Cross-sectional network analysis of plasma proteins/metabolites correlated with pathogenesis and therapeutic

Frontiers of Medicine doi: 10.1007/s11684-023-1022-x

Abstract: Here, we reported a cross-sectional correlation network to interpret multilayered datasets on clinical

Keywords： acute promyelocytic leukemia     plasma proteomics     plasma metabolomics     cross-sectional correlation network    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: Root cause analysis (RCA) of abnormal aluminum electrolysis cell condition has long been a challengingIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationThe proposed method was verified under 20 sets of abnormal cell conditions, and implements root cause analysis

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidificationand reasoning     root cause analysis    

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Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

Frontiers of Engineering Management   Pages 425-438 doi: 10.1007/s42524-022-0205-5

Abstract: The term environmental innovation system refers to an innovation network composed of enterprises, universitiesA two-stage data envelopment analysis (DEA) model is developed in this study to analyze the efficiency

Keywords： data envelopment analysis     environmental efficiency     environmental innovation system     shared resources    

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Design, analysis, and neural control of a bionic parallel mechanism

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 468-486 doi: 10.1007/s11465-021-0640-8

Abstract: Based on this structure, the rhythmic motion of the parallel mechanism is obtained by supporting state analysisThe neural control of the parallel mechanism is realized by constructing a neuromechanical network, which

Keywords： neural control     behavior network     rhythm     motion pattern    

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On the Monitoring, Analysis, and Management of Network Public Opinion: Current Status and Challenges

Yang Shanlin,Zhou Bin and Jia Yan,Huang Jiuming

Strategic Study of CAE 2016, Volume 18, Issue 6,   Pages 17-22 doi: 10.15302/J-SSCAE-2016.06.004

Abstract: information science, management, and sociology, this paper summarizes research on domestic and international networkpublic opinion monitoring, analysis, and management, followed by a brief introduction to China'sOn this basis, we discuss the future development of network public opinion when facing the challenges

Keywords： network public opinion     monitoring     analysis     management    

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Planning and analysis of the demonstration project of the MVDC distribution network in Zhuhai

Lu QU, Zhanqing YU, Qiang SONG, Zhichang YUAN, Biao ZHAO, Dawei YAO, Jianfu CHEN, Yao LIU, Rong ZENG

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 120-130 doi: 10.1007/s11708-018-0599-2

Abstract: distribution technology, China’s first demonstration project of the medium voltage DC distribution networkFirst, this paper analyzes the demand of the DC distribution network project, and puts forward the constructionelectrical connection mode, system operation mode, and startup and shutdown mode of the DC distribution networkscheme of the lightning arrester, and analysis of the system transient characteristics.The design and analysis of the engineering program is a combination of China’s distribution network engineering

Keywords： MVDC distribution network     DC solid state transformer     DC circuit breaker     modular multilevel converter    

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AED-Net: An Abnormal Event Detection Network Article

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Engineering 2019, Volume 5, Issue 5,   Pages 930-939 doi: 10.1016/j.eng.2019.02.008

Abstract: In this paper, a self-supervised framework called the abnormal event detection network (AED-Net), whichis composed of a principal component analysis network (PCAnet) and kernel principal component analysis

Keywords： Abnormal events detection     Abnormal event detection network     Principal component analysis network     Kernelprincipal component analysis    

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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. In this type of program, a massive number of that are used to represent the evolution of the states and store some information about the sessions are prone to potential flaws caused by violations of protocol specification requirements and program logic. Discovering such variables is significant in discovering and exploiting vulnerabilities in protocol software, and still needs massive manual verifications. In this paper, we propose a novel method that could automatically discover the use of in . The core idea is that a stateful variable features information of the communication entities and the software states, so it will exist in the form of a global or static variable during program execution. Based on recording and replaying a protocol program's execution, varieties of variables in the life cycle can be tracked with the technique of dynamic instrument. We draw up some rules from multiple dimensions by taking full advantage of the existing vulnerability knowledge to determine whether the data stored in critical memory areas have stateful characteristics. We also implement a prototype system that can discover automatically and then perform it on nine programs in ProFuzzBench and two complex real-world software programs. With the help of available open-source code, the evaluation results show that the average true positive rate (TPR) can reach 82% and the average precision can be approximately up to 96%.

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

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Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 81-84

Abstract: constructed, which is combined with the pattern recognition techniques of self organizing competitive networkfor the research of gas qualitative analysis.

Keywords： gas sensor array     self organizing competitive network     qualitative analysis    

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Optimal design analysis of a tubular heat exchanger network with extended surfaces using multi-objective

Hassan HAJABDOLLAHI, Mohammad SHAFIEY DEHAJ, Babak MASOUMPOUR, Mohammad ATAEIZADEH

Frontiers in Energy 2022, Volume 16, Issue 5,   Pages 862-875 doi: 10.1007/s11708-022-0839-3

Abstract: influence of extended surfaces (fins) on the multi-objective optimization of a tubular heat exchanger networkTubular heat exchanger network design parameters were chosen as optimization variables, and optimization

Keywords： constructal theory     extended surface     effectiveness     total heat transfer area     multi-objective optimization    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management   Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presentednumerical experiments are provided to verify the effectiveness of the algorithm, and a sensitivity analysis

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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Performance analysis for a two-way relaying power line networkwith analog network coding

Yu-wen QIAN,Meng TIAN,Xue JIANG,Hua-ju SONG,Feng SHU,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 892-898 doi: 10.1631/FITEE.1500135

Abstract: In this paper, we investigate a two-way relaying power line communication (PLC) network with analog networkWe focus on the analysis of the system outage probability, symbol error rate, and average capacity.

Keywords： Power line communication     Outage probability     Symbol error rate     Signal attenuation    

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Development Strategies for New Network Industry

Wang Shuo, Wu Peng, Lu Hua, Huang Tao, Zhang Jidong, Liu Yunjie

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 8-14 doi: 10.15302/J-SSCAE-2021.02.002

Abstract:

As an innovation-led, cross-disciplinary frontier field, the new networkThis study examines the development demand for new network technologies and elaborates on solutions forresearch are urgently needed for China’s new network industry.latency/deterministic latency network, network operating system, cloud–network convergence, andprogrammable network.

Keywords： new network     consumer network     production Internet     space–ground integrated network     value analysis    

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Title Author Date Type Operation

A neural network-based production process modeling and variable importance analysis approach in corn

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Cross-sectional network analysis of plasma proteins/metabolites correlated with pathogenesis and therapeutic

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

Journal Article

Design, analysis, and neural control of a bionic parallel mechanism

Journal Article

On the Monitoring, Analysis, and Management of Network Public Opinion: Current Status and Challenges

Yang Shanlin,Zhou Bin and Jia Yan,Huang Jiuming

Journal Article

Planning and analysis of the demonstration project of the MVDC distribution network in Zhuhai

Lu QU, Zhanqing YU, Qiang SONG, Zhichang YUAN, Biao ZHAO, Dawei YAO, Jianfu CHEN, Yao LIU, Rong ZENG

Journal Article

AED-Net: An Abnormal Event Detection Network

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

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

Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Journal Article

Optimal design analysis of a tubular heat exchanger network with extended surfaces using multi-objective

Hassan HAJABDOLLAHI, Mohammad SHAFIEY DEHAJ, Babak MASOUMPOUR, Mohammad ATAEIZADEH

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

Performance analysis for a two-way relaying power line networkwith analog network coding

Yu-wen QIAN,Meng TIAN,Xue JIANG,Hua-ju SONG,Feng SHU,Jun LI

Journal Article

Development Strategies for New Network Industry

Wang Shuo, Wu Peng, Lu Hua, Huang Tao, Zhang Jidong, Liu Yunjie

Journal Article