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Intertidal area classification with generalized extreme value distribution and Markov random field in None

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 253-264 doi: 10.1631/FITEE.1700462

Abstract: The key point of the method is to combine the generalized extreme value (GEV) statistical model of theA goodness-of-fit test is added to determine the significance of the components of the statistical model

Keywords： Intertidal classification     Polarimetric synthetic aperture radar     Finite mixture model     Markov random field     Generalized extreme value model    

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Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 44-50

Abstract:

New framework of knowledge representation of fuzzy language field and fuzzy language value structureThen the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacyand the generalized inductive logic causal model are brought forward.

Keywords： language field     language value structure     generalized cell automation     generalized inductive logic causalmodel     automatic reasoning     intelligent controller    

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The Lesson From Hurricane Katrina 2005——Risk Analysis for Coastal, Offshore, and Hydraulic Engineering

Liu Defu,Pang Liang,Xie Botao,Shi Hongda,Lu Yijun

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 24-29

Abstract: text-align: justify;">Comparison among predicted hurricane characteristics with the Poisson-Weibull compound extremevalue distribution proposed by the authors in 1982,  Poisson-nested logistic trivariate compoundextreme value distribution in 2004 and hurricane disaster prevention design criteria for New Orleans(proposed by NOAA) shows that the compound extreme value distribution is a more reasonable model for

Keywords： Hurricane Katrina     compound extreme value distribution     multivariate compound extreme value distribution    

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Value Engineering/Value Management Model and Application of Aerospace Projects

Wan-hua Qiu,Han-peng Zhang,Ze-Shui Xu,De-Sheng Wu

Frontiers of Engineering Management 2015, Volume 2, Issue 4,   Pages 373-377 doi: 10.15302/J-FEM-2015056

Abstract: This paper presents a new space model developed by general value engineering/value management model.realization of the development object as the basic point, to get the final optimization structure by valueThe final case shows that the application of this model can save about 18% of the time and considerable

Keywords： aerospace project     value engineering     value optimization     value stream     design structure matrix    

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Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product

Shasha ZENG, Weiping PENG, Tiaoyu LEI

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 12-23 doi: 10.1007/s11465-019-0555-9

Abstract: product platform (DPIPP) contains many agents of a product minimum approximate autonomous subsystem (generalizedIn this study, a new method of isomorphism analysis on generalized modules oriented to DPIPP is proposedFirst, on the basis of the bill of material partition and generalized module mining, the parameters ofalgorithm, and isomorphism model sets are obtained.Generalized modules with a similar structure are combined to complete the isomorphism analysis.

Keywords： distributed parameterized intelligent product platform     generalized module     isomorphism analysis     product    

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Generalized Plastic Mechanics and Its Application

Zheng Yingren,Kong Liang

Strategic Study of CAE 2005, Volume 7, Issue 11,   Pages 21-36

Abstract: By giving up the three hypotheses, a generalized plastic potential theory can be obtained from solidmechanics directly, and then the traditional plastic mechanics can be changed to a more generalized plasticmechanics, namely generalized plastic mechanics (GPM).

Keywords： geotechnical plastic mechanics     generalized plastic mechanics     plastic potential     yield surface     constitutivemodel    

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Novel method of constructing generalized Hoberman sphere mechanisms based on deployment axes

Xuemin SUN, Yan-An YAO, Ruiming LI

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 89-99 doi: 10.1007/s11465-019-0567-5

Abstract: This study proposes a method of constructing type II generalized angulated elements (GAEs II) HobermanThird, a flowchart of constructing the generalized Hoberman sphere mechanism on the basis of deploymentFinally, four generalized Hoberman sphere mechanisms based on a fully enclosed regular hexahedron, arithmetic

Keywords： deployable mechanism     type II generalized angulated elements     Hoberman sphere mechanism     deployment axes    

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An evaluation model of water-saving reconstruction projects based on resource value flows

Runwen JIANG, Xiaohong CHEN, Lingchu ZHAO, Zhifang ZHOU, Tao ZHANG

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 257-267 doi: 10.1007/s42524-020-0144-y

Abstract: We used Hina Advanced Materials Company as a case to construct an investment decision model to (1) calculatethe internal and external costs of water resources based on circular economic value analysis theory,We concluded that the circulation economic value analysis model can effectively display the flow andamount of value derived from water resource flows, thereby providing guidance and suggestions for optimizing

Keywords： value flow analysis     ternary materials enterprises     grey situation decision analysis     water resources    

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strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: traditional compressive strength test, this study combines five novel metaheuristic algorithms with extremeThe results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yieldedTherefore, the developed hybrid XGB model can be introduced as an accurate and fast technique for theThe ability of the model to predict the performance of concrete with unknown proportions can play a significant

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

Strategic Study of CAE 2012, Volume 14, Issue 9,   Pages 55-63

Abstract:

The definitions of extreme weather/climate events and "climate extremeOn the basis of classifying the extreme events into four categories (namely extremes caused by variationssingle variable, events related to weather phenomena,compound events and climate extremes), the related extremeMeanwhile, it is also necessary to strengthen engineering defense measures based on changes in extreme

Keywords： extreme climate indices     high impacts     meteorological disasters     engineering    

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Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Strategic Study of CAE 2003, Volume 5, Issue 8,   Pages 23-29

Abstract:

The study is aimed at choosing a better predictive model for the accurate description of SARS in GuangdongIn order to model the SARS system, a generalized Logistic growth function has been adopted in the paperpublished data, the main features of evolution of the SARS population size have been obtained using the generalizedLogistic growth model by optimizing technique.The practice of calculations has found that the Gompertz model gives the most accurate results where

Keywords： SARS     generalized Logistic growth model     Gompertz function     prediction     optimization    

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Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 444-460 doi: 10.1007/s11709-021-0697-9

Abstract: The models include three different types of extreme learning machines, including the standard, onlinesequential, and kernel extreme learning machines, in addition to the artificial neural network, classificationand regression tree model, and statistical multiple linear regression model.The online sequential extreme learning machine model demonstrated superior performance over the other

Keywords： sewer systems     environmental engineering     data-driven methods     sensitivity analysis    

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Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target Research Articles

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000105

Abstract: By defining a new generalized labeled multi-Bernoulli density, we prove that it is closed under the Chapman-Kolmogorov

Keywords： Multi-maneuvering-target tracking     Multi-model     Generalized labeled multi-Bernoulli filter     Multi-target    

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Multiscale RBF-based central high resolution schemes for simulation of generalized thermoelasticity problems

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 429-455 doi: 10.1007/s11709-018-0483-5

Abstract: This proposed method is used for simulation of generalized coupled thermoelasticity problems including

Keywords： central high resolution schemes     RBFs     higher order accuracy     generalized thermoelasticity     multiresolution-based    

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Extreme Learning Machine-Based Thermal Model for Lithium-Ion Batteries of Electric Vehicles under External Article

Ruixin Yang, Rui Xiong, Weixiang Shen, Xinfan Lin

Engineering 2021, Volume 7, Issue 3,   Pages 395-405 doi: 10.1016/j.eng.2020.08.015

Abstract: Based on the experimental results, we employed an extreme learning machine (ELM)-based thermal (ELMT)model to depict battery temperature behavior under ESC, where a lumped-state thermal model was usedTo demonstrate the effectiveness of the proposed model, we compared the ELMT model with a multi-lumped-stateIt is shown that the ELMT model can achieve higher computational efficiency than the MLT model and betterfor the ELMT model and 6.11 °C for the MLT model.

Keywords： Electric vehicles     Battery safety     External short circuit     Temperature prediction     Extreme learning machine    

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Title Author Date Type Operation

Intertidal area classification with generalized extreme value distribution and Markov random field in

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Journal Article

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Journal Article

The Lesson From Hurricane Katrina 2005——Risk Analysis for Coastal, Offshore, and Hydraulic Engineering

Liu Defu,Pang Liang,Xie Botao,Shi Hongda,Lu Yijun

Journal Article

Value Engineering/Value Management Model and Application of Aerospace Projects

Wan-hua Qiu,Han-peng Zhang,Ze-Shui Xu,De-Sheng Wu

Journal Article

Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product

Shasha ZENG, Weiping PENG, Tiaoyu LEI

Journal Article

Generalized Plastic Mechanics and Its Application

Zheng Yingren,Kong Liang

Journal Article

Novel method of constructing generalized Hoberman sphere mechanisms based on deployment axes

Xuemin SUN, Yan-An YAO, Ruiming LI

Journal Article

An evaluation model of water-saving reconstruction projects based on resource value flows

Runwen JIANG, Xiaohong CHEN, Lingchu ZHAO, Zhifang ZHOU, Tao ZHANG

Journal Article

strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Journal Article

Extreme weather/climate events and disaster prevention and mitigation under global warming background

Zhai Panmao,Liu Jing

Journal Article

Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases

Wang Jianfeng

Journal Article

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Journal Article

Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

Journal Article

Multiscale RBF-based central high resolution schemes for simulation of generalized thermoelasticity problems

Hassan YOUSEFI, Alireza TAGHAVI KANI, Iradj MAHMOUDZADEH KANI

Journal Article

Extreme Learning Machine-Based Thermal Model for Lithium-Ion Batteries of Electric Vehicles under External

Ruixin Yang, Rui Xiong, Weixiang Shen, Xinfan Lin

Journal Article