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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: On 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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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 causalitygraph knowledge-based editor.

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

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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: Reactive scheduling is a common dynamic scheduling approach where the scheduling scheme is refreshedslack-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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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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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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Causality relationship between the photovoltaic market and its manufacturing in China, Germany, the US

Molin HUO, Xiliang ZHANG, Jiankun HE

Frontiers in Energy 2011, Volume 5, Issue 1,   Pages 43-48 doi: 10.1007/s11708-010-0135-5

Abstract: This paper aims to investigate the Granger causality relationships between the photovoltaic (PV) market

Keywords： photovoltaic     innovation     demand pull     scale economies     granger causality    

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Cyberspace Endogenous Safety and Security Article

Jiangxing Wu

Engineering 2022, Volume 15, Issue 8,   Pages 179-185 doi: 10.1016/j.eng.2021.05.015

Abstract:

Uncertain security threats caused by vulnerabilities and backdoors are the most serious and difficultand security in cyberspace, introduces endogenous security mechanisms and characteristics based on dynamic

Keywords： Cyberspace endogenous security problem     Uncertain threat     Cyberspace endogenous safety and security     Relative right axiom     Dynamic heterogeneous redundant architecture    

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Causality between energy consumption and GDP in the U.S.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 1-8 doi: 10.1007/s11708-013-0290-6

Abstract: This study investigates the dynamic causal relationship between energy consumption and economic growthgrowth by employing the wavelet transformation to obtain different time scales in order to investigate causalityTheir approach consists of first decomposing the series into time scales by wavelet filters and testing causality

Keywords： energy consumption     economic growth     wavelet analysis     granger causality    

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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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The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Engineering doi: 10.1016/j.eng.2023.07.006

Abstract: This perspective article proposes that the evaluation of AGI should be rooted in dynamic embodied physical

Keywords： benchmark     Artificial intelligence evaluation     Embodied artificial intelligence     Value alignment     Turing test     Causality    

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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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Large-scale graph processing systems: a survey Review

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 384-404 doi: 10.1631/FITEE.1900127

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords： Graph workloads     Graph applications     Graph processing systems    

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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 is

Keywords： structure optimization     inexact two-stage stochastic programming     runoff forecasting     Shiyang River Basin     uncertain    

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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 519-531 doi: 10.1631/FITEE.1400399

Abstract: With the increasing energy consumption of computing systems and the growing advocacy for green computing, energy efficiency has become one of the critical challenges in high-performance heterogeneous computing systems. Energy consumption can be reduced by not only hardware design but also software design. In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF, for parallel applications on heterogeneous computing systems. The EASEF approach aims to minimize the finish time and overall energy consumption. First, EASEF extracts the set of paths from an application. Then, it reconstructs the application based on the extracted set of paths to achieve a reasonable schedule. Finally, it adopts a progressive way to equalize the frequency of tasks to reduce the total energy consumption of systems. Randomly generated applications and two real-world applications are examined in our experiments. Experimental results show that the EASEF algorithm outperforms two existing algorithms in terms of makespan and energy consumption.

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Title Author Date Type Operation

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

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

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

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

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

Causality relationship between the photovoltaic market and its manufacturing in China, Germany, the US

Molin HUO, Xiliang ZHANG, Jiankun HE

Journal Article

Cyberspace Endogenous Safety and Security

Jiangxing Wu

Journal Article

Causality between energy consumption and GDP in the U.S.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

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

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

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

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

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

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Journal Article