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Modeling and Real-time Performance Analysis of Switched Ethernet by Network Calculus

Wang Xiaoxin,Liu Luyuan,Liu Jing,Ma Jinjue

Strategic Study of CAE 2006, Volume 8, Issue 6,   Pages 55-59

Abstract: Through analyzing the structure of classical switch, a switch model by network calculus is proposed,

Keywords： network calculus     switch     arrival curve     service curve     delay    

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Stability analysis of slopes with planar failure using variational calculus and numerical methods

Norly BELANDRIA, Roberto ÚCAR, Francisco M. LEÓN, Ferri HASSANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1262-1273 doi: 10.1007/s11709-020-0657-9

Abstract: This study investigates the technique of variational calculus applied to estimate the slope stability

Keywords： slopes stability     planar failure     variational calculus     numerical methods    

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PASS - BDI Model for Software Agent

Fan Wei,Chen Zengqiang,Yuan Zhuzhi

Strategic Study of CAE 2004, Volume 6, Issue 6,   Pages 43-49

Abstract: model named as PASS-BDI, describes the mental states, cognitive processes and whole behaviors with pi-calculus

Keywords： agent     pi-calculus     cognitive processes     mental state    

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Hohmann transfer via constrained optimization None

Li XIE, Yi-qun ZHANG, Jun-yan XU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1444-1458 doi: 10.1631/FITEE.1800295

Abstract: We next formulate the Hohmann transfer problem as boundary value problems, which are solved by the calculus

Keywords： Hohmann transfer     Nonlinear programming     Constrained optimization     Calculus of variations    

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Design of a fractional PI None

Pritesh SHAH, Sudhir AGASHE, Anand J. KULKARNI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 437-445 doi: 10.1631/FITEE.1601495

Abstract: The cohort intelligence (CI) method has recently evolved as an optimization method based on artificial intelligence. We use the CI method for the first time to optimize the parameters of the fractional proportionalintegral-derivative (PID) controller. The performance of the CI method in designing the fractional PID controller was validated and compared with those of some other popular algorithms such as particle swarm optimization, the genetic algorithm, and the improved electromagnetic algorithm. The CI method yielded improved solutions in terms of the cost function, computing time, and function evaluations in comparison with the other three algorithms. In addition, the standard deviations of the CI method demonstrated the robustness of the proposed algorithm in solving control problems.

Keywords： Cohort intelligence     Fractional calculus     Fractional PID controller     Tuning    

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Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels

Ammar NEÇAIBIA,Samir LADACI,Abdelfatah CHAREF,Jean Jacques LOISEAU

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 43-53 doi: 10.1007/s11708-014-0343-5

Abstract: Due to the high interest in renewable energy and diversity of research regarding photovoltaic (PV) array, a great research effort is focusing nowadays on solar power generation and its performance improvement under various weather conditions. In this paper, an integrated framework was proposed, which achieved both maximum power point tracking (MPPT) and minimum ripple signals. The proposed control scheme was based on extremum-seeking (ES) combined with fractional order systems (FOS). This auto-tuning strategy was developed to maximize the PV panel output power through the regulation of the voltage input to the DC/DC converter in order to lead the PV system steady-state to a stable oscillation behavior around the maximum power point (MPP). It is shown that fractional order operators can improve the plant dynamics with respect to time response and disturbance rejection. The effectiveness of the proposed controller scheme is illustrated with simulations using measured solar radiation data.

Keywords： extremum seeking (ES)     fractional order control (FOC)     fractional calculus     photovoltaic (PV) panel     maximum    

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Robust switched fractional controller for performance improvement of single phase active power filter under unbalanced conditions

H. AFGHOUL,F. KRIM,D. CHIKOUCHE,A. BEDDAR

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 203-212 doi: 10.1007/s11708-015-0381-7

Abstract: but it causes dramatic degradation in control performances in steady-state because of the fractional calculus

Keywords： conventional PI controller     fractional calculus (FC)     total harmonic distortion (THD)     Oustaloup continuous    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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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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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

Keywords： complex network     network science     spreading influence     machine learning    

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Information Network—— Frontier of Information Engineering Science

Zhong Yixin

Strategic Study of CAE 1999, Volume 1, Issue 1,   Pages 24-29

Abstract:

Information Network has been grown up and spread out to the entire globe extremely swiftly in recent

An attempt is made in the paper to establish a new discipline, the information network engineering, based on the above phenomenon.First, the concept of information network is re-defined clearly hereand then the working mechanism of information network is analyzed in depth.As a result of the analyses above, a list of the important issues and directions in information network

Keywords： information network     intelligent productive tools     network age     information network engineering    

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Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective

Yang Li, Lei Shi, Yi Qian, Jie Tang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 1, doi: 10.1007/s11783-017-0903-0

Abstract: Real wastewater treatment technology diffusion process was investigated. The research is based on a dataset of 3136 municipal WWTPs and 4634 organizations. A new metric was proposed to measure the importance of a project in diffusion. Important projects usually involve central organizations in collaboration. Organizations become more central by participating in less important projects. The diffusion of municipal wastewater treatment technology is vital for urban environment in developing countries. China has built more than 3000 municipal wastewater treatment plants in the past three decades, which is a good chance to understand how technologies diffused in reality. We used a data-driven approach to explore the relationship between the diffusion of wastewater treatment technologies and collaborations between organizations. A database of 3136 municipal wastewater treatment plants and 4634 collaborating organizations was built and transformed into networks for analysis. We have found that: 1) the diffusion networks are assortative, and the patterns of diffusion vary across technologies; while the collaboration networks are fragmented, and have an assortativity around zero since the 2000s. 2) Important projects in technology diffusion usually involve central organizations in collaboration networks, but organizations become more central in collaboration by doing circumstantial projects in diffusion. 3) The importance of projects in diffusion can be predicted with a Random Forest model at a good accuracy and precision level. Our findings provide a quantitative understanding of the technology diffusion processes, which could be used for water-relevant policy-making and business decisions.

Keywords： Innovation diffusion     Collaboration network     Wastewater treatment plant     Complex network     Data driven    

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Title Author Date Type Operation

Modeling and Real-time Performance Analysis of Switched Ethernet by Network Calculus

Wang Xiaoxin,Liu Luyuan,Liu Jing,Ma Jinjue

Journal Article

Stability analysis of slopes with planar failure using variational calculus and numerical methods

Norly BELANDRIA, Roberto ÚCAR, Francisco M. LEÓN, Ferri HASSANI

Journal Article

PASS - BDI Model for Software Agent

Fan Wei,Chen Zengqiang,Yuan Zhuzhi

Journal Article

Hohmann transfer via constrained optimization

Li XIE, Yi-qun ZHANG, Jun-yan XU

Journal Article

Design of a fractional PI

Pritesh SHAH, Sudhir AGASHE, Anand J. KULKARNI

Journal Article

Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels

Ammar NEÇAIBIA,Samir LADACI,Abdelfatah CHAREF,Jean Jacques LOISEAU

Journal Article

Robust switched fractional controller for performance improvement of single phase active power filter under unbalanced conditions

H. AFGHOUL,F. KRIM,D. CHIKOUCHE,A. BEDDAR

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

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

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Identifying spreading influence nodes for social networks

Journal Article

Information Network—— Frontier of Information Engineering Science

Zhong Yixin

Journal Article

Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective

Yang Li, Lei Shi, Yi Qian, Jie Tang

Journal Article