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A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 338-347 doi: 10.15302/J-FEM-2017032

Abstract: Deterministic equivalent model with nonanticipativity constraints, branch-and-fix coordination, sample average approximation

Keywords： supply chain network     stochastic demand     sampling average approximation     Bayesian bootstrap     Latin hypercube    

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Shape reconstruction of parallelogram flaw

ZHENG Gangfeng, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 17-22 doi: 10.1007/s11465-008-0015-4

Abstract: To reconstruct the shape of the scatterer in elastic media, the authors deduce the Born approximationidentification of the geometrical character of a flaw is then given by the two dimensional inverse Born approximation

Keywords： approximation     scatterer     scattering problem     information     inverse    

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Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 39-48

Abstract:

Some new basic concepts are proposed in this paper, including the approximation space of generalization, rough approximation axiom, disturbance set axiom, classification principle of rough set, principle

Keywords： approximation space of generalization     rough set     rough classification algebra     protocol relation     rough    

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Galerkin approximationwith Legendre polynomials for a continuous-time nonlinear optimal control problem Article

Xue-song CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1479-1487 doi: 10.1631/FITEE.1601101

Abstract: We investigate the use of an approximation method for obtaining near-optimal solutions to a kind of nonlinearThe approach derived from the Galerkin approximation is used to solve the generalized Hamilton-Jacobi-BellmanThe Galerkin approximation with Legendre polynomials (GALP) for GHJB equations has not been applied to

Keywords： Generalized Hamilton-Jacobi-Bellman equation     Nonlinear optimal control     Galerkin approximation     Legendre    

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Meeting deadlines for approximation processing in MapReduce environments Article

Ming-hao HU, Chang-jian WANG, Yu-xing PENG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1754-1772 doi: 10.1631/FITEE.1601056

Abstract: To provide timely results for big data analytics, it is crucial to satisfy deadline requirements for MapReduce jobs in today’s production environments. Much effort has been devoted to the problem of meeting deadlines, and typically there exist two kinds of solutions. The first is to allocate appropriate resources to complete the entire job before the specified time limit, where missed deadlines result because of tight deadline constraints or lack of resources; the second is to run a pre-constructed sample based on deadline constraints, which can satisfy the time requirement but fail to maximize the volumes of processed data. In this paper, we propose a deadline-oriented task scheduling approach, named ‘Dart’, to address the above problem. Given a specified deadline and restricted resources, Dart uses an iterative estimation method, which is based on both historical data and job running status to precisely estimate the real-time job completion time. Based on the estimated time, Dart uses an approach–revise algorithm to make dynamic scheduling decisions for meeting deadlines while maximizing the amount of processed data and mitigating stragglers. Dart also efficiently handles task failures and data skew, protecting its performance from being harmed. We have validated our approach using workloads from OpenCloud and Facebook on a cluster of 64 virtual machines. The results show that Dart can not only effectively meet the deadline but also process near-maximum volumes of data even with tight deadlines and limited resources.

Keywords： MapReduce     Approximation jobs     Deadline     Task scheduling     Straggler mitigation    

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: In this paper model-based damping approximation method and a model-less structural input estimation areConsequently, high convergence of the comparison results illustrates the satisfactory of proposed approximation

Keywords： structural modal parameters     damping identification method     input excitation force identification     Inverse problem    

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3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 103-107

Abstract: An approach of complex geological surface reconstruction which combines interpolation with approximationFor the discrete data in the peripheral region, NURBS approximation fitting method is used to construct

Keywords： geological surface     interpolation-approximation fitting     3D construction     multi-source geological data    

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Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 116-120 doi: 10.1007/s11708-008-0019-0

Abstract: It shows that the wavelet approximation indicates the general pressure change in the furnace, and the

Keywords： comparison     wavelet approximation     pressure transducer     general pressure     consistent    

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Modeling of large-deflection links for compliant mechanisms

Zhonglei FENG, Yueqing YU, Wenjing WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 294-301 doi: 10.1007/s11465-010-0019-8

Abstract: simulation to the tip locus of flexible links for compliant mechanisms on the basis of a parametric approximationdeflection angle of large-deflection links for compliant mechanisms on the basis of the angular deflection approximation

Keywords： compliant mechanism     pseudo-rigid-body model (PRBM)     large-deflection link     angular deflection approximation    

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Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 852-862 doi: 10.1007/s11709-019-0522-x

Abstract: To reduce the computational cost, a ranking strategy and an approximation model are further involved

Keywords： arch dam     shape optimization     robust optimization     load uncertainty     approximation model    

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Nonlinear dynamics of a wind turbine tower

A. GESUALDO, A. IANNUZZO, F. PENTA, M. MONACO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 3,   Pages 342-350 doi: 10.1007/s11465-019-0524-3

Abstract: The recent proliferation of wind turbines has revealed problems in their vulnerability under different site conditions, as evidenced by recent collapses of wind towers after severe actions. Analyses of structures subjected to variable actions can be conducted through several methods with different accuracy levels. Nonlinear dynamics is the most reliable among such methods. This study develops a numerical procedure to obtain approximate solutions for rigid-plastic responses of structures subjected to base harmonic pulses. The procedure’s model is applied to a wind turbine tower subjected to inertial forces generated by harmonic ground acceleration, and failure is assumed to depend on the formation of shear hinges. The proposed approach provides an efficient representation of the post-elastic behavior of the structure, has a low computational cost and high effectiveness, and uses a limited number of mechanical parameters.

Keywords： nonlinear dynamics     plastic shear failure     modal approximation     time history    

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Approximating Characteristics of Fuzzy Systems With Arbitrary Membership Function

Zhang Zhao,Pei Yanling,Zheng Aihong

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 47-50

Abstract:

While quadrilateral membership function is used as general membership function, Stone-Weierstrass theorem is utilized to prove that fuzzy systems with arbitrary membership functions are capable of approximating any continuous function on a compact set. It is a generalization for theory of basic fuzzy systems approximating any continuous non-linear function. The performance of fuzzy systems to approximate random non-linear function is the theoretical basis of fuzzy system's application in system identification.

Keywords： fuzzy system     membership function     approximation    

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Analysis and design of pulse frequency modulation dielectric barrier discharge for low power applications

Tang-tang GUO,Xing-liang LIU,Shi-qiang HAO,Chi ZHANG,Xiang-ning HE

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 249-258 doi: 10.1631/FITEE.1400185

Abstract: The rectifier-compensated first harmonic approximation (RCFHA) is applied to linearize the equivalent

Keywords： Dielectric barrier discharge     Rectifier-compensated first harmonic approximation     Parasitic capacitance    

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The Model for Loan Portfolio With Safety-first Criterion

Tang Wansheng,Yan Weizhen,Ning Yufu

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 137-141

Abstract:

This paper proposes the model for loan portfolio under probability criterion, and designs the hybrid optimization algorithm based on random simulation to solve the model. The algorithm can solve the models with the return rates with any probability distributions, and is not subject to the assumption that the return rates have normal distributions. The feasibility of the algorithm is verified by two examples.

Keywords： safety-first criterion     random simulation     genetic algorithm(GA)     simultaneousperturbation stochastic approximation    

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Some Theoretical Issues on Procedure Neural Networks

He Xingui,Liang Jiuzhen

Strategic Study of CAE 2000, Volume 2, Issue 12,   Pages 40-44

Abstract: The related continuity, function approximation ability and computational capability theorems are proved

Keywords： procedure neural networks     function approximation ability     computational capability     continuity    

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Title Author Date Type Operation

A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Journal Article

Shape reconstruction of parallelogram flaw

ZHENG Gangfeng, WU Bin, HE Cunfu

Journal Article

Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Journal Article

Galerkin approximationwith Legendre polynomials for a continuous-time nonlinear optimal control problem

Xue-song CHEN

Journal Article

Meeting deadlines for approximation processing in MapReduce environments

Ming-hao HU, Chang-jian WANG, Yu-xing PENG

Journal Article

Approximation of structural damping and input excitation force

Mohammad SALAVATI

Journal Article

3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Journal Article

Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Journal Article

Modeling of large-deflection links for compliant mechanisms

Zhonglei FENG, Yueqing YU, Wenjing WANG,

Journal Article

Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Journal Article

Nonlinear dynamics of a wind turbine tower

A. GESUALDO, A. IANNUZZO, F. PENTA, M. MONACO

Journal Article

Approximating Characteristics of Fuzzy Systems With Arbitrary Membership Function

Zhang Zhao,Pei Yanling,Zheng Aihong

Journal Article

Analysis and design of pulse frequency modulation dielectric barrier discharge for low power applications

Tang-tang GUO,Xing-liang LIU,Shi-qiang HAO,Chi ZHANG,Xiang-ning HE

Journal Article

The Model for Loan Portfolio With Safety-first Criterion

Tang Wansheng,Yan Weizhen,Ning Yufu

Journal Article

Some Theoretical Issues on Procedure Neural Networks

He Xingui,Liang Jiuzhen

Journal Article