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Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2,   Pages 177-187 doi: 10.15302/J-FASE-2017177

Abstract: To improve the accuracy of runoff forecasting, an uncertain multiple linear regression (UMLR) model isthe developed system, and help decision makers to identify reasonable crop planting structure under multiple

Keywords： structure optimization     inexact two-stage stochastic programming     runoff forecasting     Shiyang River Basin     uncertainmultiple linear regression    

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A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 546-558 doi: 10.1007/s11465-021-0639-1

Abstract: comprehensively studied the interactions among damage conditions and quality requirements that involve uncertainHence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, and

Keywords： remanufacturing     uncertain and fuzzy information     process planning     T-S FNN    

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An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 549-558 doi: 10.1007/s11783-012-0414-y

Abstract: In this study, an interval fuzzy mixed-integer energy planning model (IFMI-EPM) is developed under considering the carbon tax policy. The developed IFMI-EPM incorporates techniques of interval-parameter programming, fuzzy planning and mixed-integer programming within a general energy planning model. The IFMI-EPM can not only be used for quantitatively analyzing a variety of policy scenarios that are associated with different levels of carbon tax policy, but also tackle uncertainties expressed as discrete intervals and fuzzy sets in energy and environment systems. Considering low, medium and high carbon tax rates, the model is applied to an ideal energy and environment system. The results indicate that reasonable solutions have been generated. They can be used for generating decision alternatives and thus help decision makers identify desired carbon tax policy.

Keywords： energy     carbon tax     planning     uncertainty     fuzzy    

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 507-514 doi: 10.15302/J-FEM-2018045

Abstract: slack-based robust scheduling rule (SR) based on the analysis of robustness measurement for SMS with uncertain

Keywords： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling    

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Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: Disorders of sex development (DSD) are a group of rare complex clinical syndromes with multiple etiologiesOn the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosisapplied to guarantee the accuracy and efficiency of diagnostic reasoning under incomplete situations and uncertain

Keywords： disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

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cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the presence of uncertain

Keqiang LI, Feng GAO, Shengbo Eben LI, Yang ZHENG, Hongbo GAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 354-367 doi: 10.1007/s11465-018-0486-x

Abstract:

This study presents a distributed H-infinity control method for uncertain platoons with dimensionallymodel to compensate for nonlinear powertrain dynamics, vehicles in a platoon are modeled by third-order uncertainthe eigenvalue decomposition of topological matrices, we convert the platoon system to a norm-bounded uncertain

Keywords： automated vehicles     platoon     distributed control     robustness    

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Global sensitivity analysis of certain and uncertain factors for a circular tunnel under seismic action

Nazim Abdul NARIMAN, Raja Rizwan HUSSAIN, Ilham Ibrahim MOHAMMAD, Peyman KARAMPOUR

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1289-1300 doi: 10.1007/s11709-019-0548-0

Abstract: There are many certain and uncertain design factors which have unrevealed rational effects on the generationIn this research paper, we have dedicated three certain and four uncertain design factors to quantify

Keywords： shear waves     Sobol’s sensitivity indices     maximum principal stress     maximum overall displacement     tensile damage    

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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality

Keywords： knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 98-108 doi: 10.1631/FITEE.1400165

Abstract: We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

Keywords： Kd tree     Quad tree     Space partitioning     Spatial indexing     Range queries     Query optimization    

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Probabilistic stability of uncertain composite plates and stochastic irregularity in their buckling mode

Frontiers of Structural and Civil Engineering   Pages 179-190 doi: 10.1007/s11709-022-0888-z

Abstract: In this study, the mechanical properties of the composite plate were considered Gaussian random fields and their effects on the buckling load and corresponding mode shapes were studied by developing a semi-analytical non-intrusive approach. The random fields were decomposed by the Karhunen−Loève method. The strains were defined based on the assumptions of the first-order and higher-order shear-deformation theories. Stochastic equations of motion were extracted using Euler–Lagrange equations. The probabilistic response space was obtained by employing the non-intrusive polynomial chaos method. Finally, the effect of spatially varying stochastic properties on the critical load of the plate and the irregularity of buckling mode shapes and their sequences were studied for the first time. Our findings showed that different shear deformation plate theories could significantly influence the reliability of thicker plates under compressive loading. It is suggested that a linear relationship exists between the mechanical properties’ variation coefficient and critical loads’ variation coefficient. Also, in modeling the plate properties as random fields, a significant stochastic irregularity is obtained in buckling mode shapes, which is crucial in practical applications.

Keywords： uncertain composite plate     stochastic assume mode method     Karhunen−Loève theorem     polynomial chaos approach    

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MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 186-200 doi: 10.1007/s11708-019-0644-9

Abstract: In this paper, interval number optimization and model predictive control are proposed to handle the uncertain-but-boundedFirst of all, interval numbers are used to describe uncertain parameters including hot water demand,transformed into an interval number model, based on which, the day-ahead load scheduling problem with uncertainnumber optimization either in day-ahead optimization or model predictive control format is robust to the uncertain

Keywords： electric water heater     load scheduling     interval number optimization     model predictive control     uncertainty    

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An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: surrogate fuels was proposed with the application of a machine learning method, named the Bayesian multiple

Keywords： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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Time-varying formation tracking for uncertain second-order nonlinearmulti-agent systems

Mao-peng RAN, Li-hua XIE, Jun-cheng LI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 76-87 doi: 10.1631/FITEE.1800557

Abstract: An application to the target enclosing problem for multiple unmanned aerial vehicles (UAVs) verifies

Keywords： Multi-agent system     Time-varying formation     Formation tracking     Nonlinear dynamics     Extended state observer (ESO)    

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Analysis of the treatment outcomes of esophageal variceal bleeding patients from multiple centers in

WANG Zhiqiang

Frontiers of Medicine 2008, Volume 2, Issue 2,   Pages 171-173 doi: 10.1007/s11684-008-0031-0

Abstract: This study aimed to investigate the treatment outcomes of esophageal variceal bleeding (EVB) in China. A total of 1087 cases were collected from 19 hospitals in 16 large and medium sized cities across China between January 1st, 2005 and January 1st, 2006. There were 313 cases (29.0%) of mild (<400 mL), 494 cases (45.8%) of moderate (400–1500 mL) and 272 cases (25.2%) of severe (>1500 mL) bleeding. Successful hemostasis was achieved in 89.8% of cases. Seven hundred and eighty-five cases were treated by medication with a hemostasis rate of 91.8%. Seventy-one cases were treated using a Sengstaken-Blakemore tube with a hemostasis rate of 54.9%. Thirty-seven cases were treated with emergency endoscopic variceal ligation with a hemostasis rate of 83.8%. Seventy-seven cases were treated with endoscopic sclerotherapy with a hemostasis rate of 94.8%. Forty-three cases were treated with emergency surgical operation with a hemostasis rate of 95.3%. Sixty-six cases were treated with combined therapy with a hemostasis rate of 97.0%. There was a significant difference ( < 0.01) in the successful hemostasis rate between different treatments. The overall mortality was 10.1%, among which 6.6% was directly caused by bleeding. The multivariate logistic regression analysis shows that the severity of bleeding, treatment methods, liver dysfunction and activation of hepatitis were predictive factors for successful hemostasis. Most cases of EVB were mild and moderate in severity. The first-line treatment for EVB is medication. Emergency endoscopic intervention has not been widely available yet. The overall management outcome of EVB has been improved.

Keywords： significant difference     predictive     medication     first-line treatment     bleeding    

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Multiple-antenna techniques in nonorthogonalmultiple access: a review Regular Papers

Fei-yan TIAN, Xiao-ming CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12,   Pages 1665-1697 doi: 10.1631/FITEE.1900405

Abstract: As a promising physical layer technique, nonorthogonal multiple access (NOMA) can admit multiple usersTo solve these problems, multiple-antenna techniques have been widely used in NOMA systems by exploitingThis study provides a comprehensive review of various multiple-antenna techniques in NOMA systems, withIn particular, we provide a detailed investigation on multiple-antenna techniques in two-user, multiuser

Keywords： Nonorthogonal multiple access     Multiple-antenna technique     B5G     Internet of Things    

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Title Author Date Type Operation

Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Journal Article

A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Journal Article

An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Journal Article

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Journal Article

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Journal Article

cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the presence of uncertain

Keqiang LI, Feng GAO, Shengbo Eben LI, Yang ZHENG, Hongbo GAO

Journal Article

Global sensitivity analysis of certain and uncertain factors for a circular tunnel under seismic action

Nazim Abdul NARIMAN, Raja Rizwan HUSSAIN, Ilham Ibrahim MOHAMMAD, Peyman KARAMPOUR

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Journal Article

Probabilistic stability of uncertain composite plates and stochastic irregularity in their buckling mode

Journal Article

MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

Time-varying formation tracking for uncertain second-order nonlinearmulti-agent systems

Mao-peng RAN, Li-hua XIE, Jun-cheng LI

Journal Article

Analysis of the treatment outcomes of esophageal variceal bleeding patients from multiple centers in

WANG Zhiqiang

Journal Article

Multiple-antenna techniques in nonorthogonalmultiple access: a review

Fei-yan TIAN, Xiao-ming CHEN

Journal Article