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Calculation of the Behavior Utility of a Network System: Conception and Principle Article

Changzhen Hu

Engineering 2018, Volume 4, Issue 1,   Pages 78-84 doi: 10.1016/j.eng.2018.02.010

Abstract: This paper describes scenes of network behavior as differential manifolds.behavior and propose a mathematical description of the network behavior path and behavior utility.and a calculation method to determine behavior utility, and establishes the calculation principle ofnetwork behavior utility.on the strength of behavior utility.

Keywords： Network metric evaluation     Differential manifold     Network behavior utility     Network attack-defense confrontation    

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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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An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete

Fangyu LIU, Wenqi DING, Yafei QIAO, Linbing WANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1299-1315 doi: 10.1007/s11709-020-0712-6

Abstract: The tensile behavior of hybrid fiber reinforced concrete (HFRC) is important to the design of HFRC andThis study used an artificial neural network (ANN) model to describe the tensile behavior of HFRC.

Keywords： artificial neural network     hybrid fiber reinforced concrete     tensile behavior     sensitivity analysis     stress-strain    

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process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility

Rupesh CHALISGAONKAR, Jatinder KUMAR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 201-214 doi: 10.1007/s11465-013-0256-8

Abstract:

This paper describes the development of multi response optimization technique using utility methodMulti response optimization was performed for both cutting speed (CS) and surface roughness (SR) using utility

Keywords： wire electro-discharge machining (WEDM)     Taguchi method     analysis of variance (ANOVA)     utility concept     cutting    

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Effects of herding behavior of tradable green certificate market players on market efficiency: Insights

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 266-285 doi: 10.1007/s11708-021-0752-1

Abstract: efficiency is reflected in stimulating renewable energy investment, but may be reduced by the herding behaviorheterogeneous agents, communication structure, and regulatory rules to explore the characteristics of herding behaviorThe results show that the evolution of herding behavior reduces information asymmetry and improves marketMoreover, the herding behavior may evolve to an equilibrium where the revenue of market players is comparable

Keywords： tradable green certificate     herding behavior     evolution     heterogeneous agent model     complex network    

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Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-basedartificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: In previous studies, there is a lack of illustration regarding the load sharing and interaction behaviorresults are then checked statistically with nonlinear multiple regression (NMR) and artificial neural network

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

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Learning embeddings of a heterogeneous behavior network for potential behavior prediction Article

Yue-yang WANG, Wei-hao JIANG, Shi-liang PU, Yue-ting ZHUANG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 422-435 doi: 10.1631/FITEE.1800493

Abstract: Potential behavior prediction involves understanding the latent human behavior of specific groups, andcanIn this paper, we examine behavior data obtained in realworld scenarios as an information network composednetwork (HBN).heterogeneous network embedding (a4HNE), which jointly considers structural proximity, attribute resemblancemining tasks for potential behavior prediction.

Keywords： Network embedding     Representation learning     Human behavior     Social networks     Heterogeneous information network    

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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: The 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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Large eddy simulation of a 660 MW utility boiler under variable load conditions

Haoshu SHEN, Yuxin WU, Minmin ZHOU, Hai ZHANG, Guangxi YUE, Junfu LYU

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 124-131 doi: 10.1007/s11708-020-0659-2

Abstract: Large eddy simulation (LES) has become a promising tool for pulverized coal combustion with the development of computational fluid dynamics (CFD) technologies in recent years. LES can better capture the unsteady features and turbulent structures of coal jet flame than Reynolds averaged Navier Stokes (RANS). The coal-fired power plants in China are now required to be operated in a wide load range and quickly respond to the electric grid. The boiler performance of variable loads should be evaluated in terms of flow, heat transfer, and combustion processes. In this paper, LES was applied to simulate a 660 MW ultra-supercritical boiler under BMCR (boiler maximum continue rate), 75%THA-100, and 50%THA-100 conditions. The predicted gas velocities agree well with the thermal calculation and the temperature error is less than 130 K. The simulation results show that the operation load has significant effects on the boiler performance. It is also proved that LES can provide guidance for the design and operation of advanced coal-fired boilers.

Keywords： large eddy simulation     ultra-supercritical boiler     operation load    

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Temperature and structural responses of a single-section utility tunnel throughout fire exposure

Yanmin YANG; Ying XIONG; Yongqing LI; Xiangkun MENG; Peng WANG; Tianyuan CAI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1351-1364 doi: 10.1007/s11709-022-0857-6

Abstract: In this study, fire tests of four single-section scaled-down utility tunnels were conducted.By analyzing temperature and structural responses of the utility tunnel throughout the fire exposure,the effects on the fire behavior of two different construction methods, cast-in-situ and prefabricatedthan that of the cast-in-situ utility tunnel.The bearing capacities of the ordinary concrete utility tunnel and full lightweight concrete utility

Keywords： full lightweight concrete     construction methods     temperature response     structural response     fire test    

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Multi-objective decision model for construction diversionschemes based on utility

Fan Xi´e,Hu Zhigen,Liu Quan

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 137-140

Abstract: and the investment cost,period,risk, its risk loss of diversion structure,the paper puts forward the utilityfunction of decision makers.When calculating three decision indexes of risk,period and utility of riskthis paper presents a multi-objective decision-making method for diversion schemes considering the utilitycase study shows that the result of decision making by the multi-objective decision model based on utility

Keywords： diversion scheme     utility losing     multi-objective decision     risk preference    

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A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 6,   Pages 667-684 doi: 10.1007/s11709-022-0822-4

Abstract: classification, RFC) followed by 1) the cantilever top horizontal displacement of sheet wall (artificial neural network

Keywords： finite element analysis     cantilever sheet wall     machine learning     artificial neural network     random forest    

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Research on the full life-cycle process integration model of large-scale public utility construction

Zhang Guozong,Wang Yonghua,Liu Xiong

Strategic Study of CAE 2014, Volume 16, Issue 10,   Pages 106-112

Abstract:

The life cycle integration management of the large-scale public utilityThe full life-cycle process integration model of large-scale public utility construction projects wasbasis we discussed the support conditions of full life-cycle process integration of large-scale public utility

Keywords： large-scale public utility construction project     full life cycle     process integration     support conditions    

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Learning Rat-Like Behavior for a Small-Scale Biomimetic Robot

Zihang Gao, Guanglu Jia, Hongzhao Xie, Qiang Huang, Toshio Fukuda, Qing Shi

Engineering 2022, Volume 17, Issue 10,   Pages 232-243 doi: 10.1016/j.eng.2022.05.012

Abstract: Existing biomimetic robots can perform some basic rat-like movement primitives (MPs) and simple behaviorTo mimic typical rat behavior with high similarity, we propose parameterizing the behavior usingsequences revealed that an actual rat has six typical behaviors in the open
field, and each kind of behaviorWe used the softmax classifier to obtain the behavior-movement hierarchical probability model.second-order Fourier series, and the joint trajectory was generalized using a back propagation neural network

Keywords： Biomimetic     Bio-inspired robot     Neural network learning system     Behavior generation    

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Utility of transbronchial biopsy in the diagnosis of lymphangioleiomyomatosis

Riffat Meraj, Kathryn A. Wikenheiser-Brokamp, Lisa R. Young, Sue Byrnes, Francis X. McCormack

Frontiers of Medicine 2012, Volume 6, Issue 4,   Pages 395-405 doi: 10.1007/s11684-012-0231-5

Abstract: The objective of our study was to examine the utility of transbronchial biopsy in the diagnosis of LAM

Keywords： lymphangioleiomyomatosis     lymphangiomyomatosis     multicystic lung disease     diffuse cystic lung disease     transbronchial biopsy     perivascular epithelioid cell tumor (PEComa)     HMB-45    

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Title Author Date Type Operation

Calculation of the Behavior Utility of a Network System: Conception and Principle

Changzhen Hu

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete

Fangyu LIU, Wenqi DING, Yafei QIAO, Linbing WANG

Journal Article

process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility

Rupesh CHALISGAONKAR, Jatinder KUMAR

Journal Article

Effects of herding behavior of tradable green certificate market players on market efficiency: Insights

Journal Article

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-basedartificial neural network

Journal Article

Learning embeddings of a heterogeneous behavior network for potential behavior prediction

Yue-yang WANG, Wei-hao JIANG, Shi-liang PU, Yue-ting ZHUANG

Journal Article

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

Journal Article

Large eddy simulation of a 660 MW utility boiler under variable load conditions

Haoshu SHEN, Yuxin WU, Minmin ZHOU, Hai ZHANG, Guangxi YUE, Junfu LYU

Journal Article

Temperature and structural responses of a single-section utility tunnel throughout fire exposure

Yanmin YANG; Ying XIONG; Yongqing LI; Xiangkun MENG; Peng WANG; Tianyuan CAI

Journal Article

Multi-objective decision model for construction diversionschemes based on utility

Fan Xi´e,Hu Zhigen,Liu Quan

Journal Article

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Journal Article

Research on the full life-cycle process integration model of large-scale public utility construction

Zhang Guozong,Wang Yonghua,Liu Xiong

Journal Article

Learning Rat-Like Behavior for a Small-Scale Biomimetic Robot

Zihang Gao, Guanglu Jia, Hongzhao Xie, Qiang Huang, Toshio Fukuda, Qing Shi

Journal Article

Utility of transbronchial biopsy in the diagnosis of lymphangioleiomyomatosis

Riffat Meraj, Kathryn A. Wikenheiser-Brokamp, Lisa R. Young, Sue Byrnes, Francis X. McCormack

Journal Article