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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 averageapproximation (SAA) with Bayesian bootstrap, and Latin hypercube sampling were adopted to analyze stochastic

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

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Performance prediction of switched reluctance generator with time average and small signal models

Jyoti KOUJALAGI, B. UMAMAHESWARI, R. ARUMUGAM

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 56-68 doi: 10.1007/s11708-012-0216-8

Abstract: complete mathematical model and predicts the performance of switched reluctance generator with time averageNext, based on the switching behaviour, a time average model is obtained to measure the difference between

Keywords： generator     reluctance     switching model     small signal model     time average model    

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Experimental study on average movement characteristics of bed-load particles

Limo TANG, Xingkui WANG,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 435-439 doi: 10.1007/s11709-009-0050-1

Abstract: The average movement characteristics of the particles are analyzed by statistics.The results show that the longitudinal average velocities of the particles neither agree with the law

Keywords： different     longitudinal     three-dimensional     particle     Bagnold    

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Investigation on sampling artifacts of particle associated PAHs using ozone denuder systems

Kai LIU, Fengkui DUAN, Kebin HE, Yongliang MA, Yuan CHENG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 284-292 doi: 10.1007/s11783-013-0555-7

Abstract: The goal of this work was to investigate particle associated PAHs sampling artifacts caused by ozoneComparative sampling systems were operated simultaneously during the whole campaign, one with activatedcarbon ozone denuder, the other being set as conventional sampling system.Ambient temperature was founded to have influences on PAHs sampling artifacts.High temperature can increase loss of particle associated PAHs during sampling.

Keywords： particle associated polycyclic aromatic hydrocarbons (PAHs)     ozone     denuder     sampling artifacts    

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A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 449-456 doi: 10.1631/FITEE.1400377

Abstract: When evaluating the accessibility of a large website, we rely on sampling methods to reduce the costTo improve sampling quality, stratified sampling methods first cluster web pages in a site and then drawIn existing stratified sampling methods, however, all the pages in a website need to be analyzed forTo address this issue, we propose a novel page sampling method based on URL clustering for web accessibilityUsing only the URL information for stratified page sampling, URLSamp can efficiently scale to large websites

Keywords： Page sampling     URL clustering     Web accessibility evaluation    

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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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Accounting for the uncertainties in the estimation of average shear wave velocity using – correlations

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1199-1208 doi: 10.1007/s11709-021-0749-1

Abstract: Further, the average shear wave velocity of the top 30 m soil cover ( V S30) is estimated

Keywords： uncertainties     V S– N correlations     V S30     SPT data     statistical methodology    

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Dilution sampling and analysis of particulate matter in biomass-derived syngas

Xiaoliang WANG, Curtis ROBBINS, S. Kent HOEKMAN, Judith C. CHOW, John G. WATSON, Dennis SCHUETZLE

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 320-330 doi: 10.1007/s11783-011-0347-x

Abstract: A dilution sampling system is demonstrated to quantify PM in syngas generated from two gasification plantsThe dilution sampling system enabled reliable measurements over a wide range of concentrations: the useallowed measurement at very low concentrations (~1 μg·m ), while the flexibility of dilution minimized sampling

Keywords： dilution source sampling     syngas characterization     biomass gasification     ultrafine particles    

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Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Strategic Study of Chinese Academy of Engineering 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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Unified methodology for site-characterization and sampling of highway runoff

Jy S. WU, Craig J. ALLAN,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 47-58 doi: 10.1007/s11783-010-0003-x

Abstract: operational guidance is suggested for implementing highway-runoff monitoring programs that are subject to sampling

Keywords： highway runoff     pollutant loads     regression models     non-point source pollution     storm water permit    

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δN-stable isotope analysis of NH: An overview on analytical measurements, source sampling and its source

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1414-6

Abstract:

• Challenges in sampling of NH3 sources for Keywords： Aerosol ammonium     Atmospheric gaseous ammonia     Isotope fingerprinting     Isotope-based source apportionment     Ammonia gas-to-particle conversion    

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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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Uncertainty propagation in dynamics of composite plates: A semi-analytical non-sampling-based approach

Mahdi FAKOOR, Hadi PARVIZ

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1359-1371 doi: 10.1007/s11709-020-0658-8

Abstract: In this study, the influences of spatially varying stochastic properties on free vibration analysis of composite plates were investigated via development of a new approach named the deterministic-stochastic Galerkin-based semi-analytical method. The material properties including tensile modulus, shear modulus, and density of the plate were assumed to be spatially varying and uncertain. Gaussian fields with first-order Markov kernels were utilized to define the aforementioned material properties. The stochastic fields were decomposed via application of the Karhunen-Loeve theorem. A first-order shear deformation theory was assumed, following which the displacement field was defined using admissible trigonometric modes to derive the potential and kinetic energies. The stochastic equations of motion of the plate were obtained using the variational principle. The deterministic-stochastic Galerkin-based method was utilized to find the probability space of natural frequencies, and the corresponding mode shapes of the plate were determined using a polynomial chaos approach. The proposed method significantly reduced the size of the mathematical models of the structure, which is very useful for enhancing the computational efficiency of stochastic simulations. The methodology was verified using a stochastic finite element method and the available results in literature. The sensitivity of natural frequencies and corresponding mode shapes due to the uncertainty of material properties was investigated, and the results indicated that the higher-order modes are more sensitive to uncertainty propagation in spatially varying properties.

Keywords： composite plate     spatially varying stochastic properties     Galerkin method     polynomial chaos approach     semi-analytical approach    

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Data recovery with sub-Nyquist sampling: fundamental limit and a detection algorithm

Xiqian Luo, Zhaoyang Zhang,ning_ming@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900320

Abstract: general bandlimited signal with no information loss, the sub-Nyquist rate may also be sufficient for samplingFirst, the minimum normalized Euclidean distances for the two sampling schemes are calculated which indicatethe performance upper bounds of each sampling scheme.rates (BERs) with different schemes are compared with both their theoretical limits and their Nyquist sampling

Keywords： Nyquist-Shannon sampling theorem     Sub-Nyquist sampling     Minimum Euclidean distance     Under-determined    

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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

Performance prediction of switched reluctance generator with time average and small signal models

Jyoti KOUJALAGI, B. UMAMAHESWARI, R. ARUMUGAM

Journal Article

Experimental study on average movement characteristics of bed-load particles

Limo TANG, Xingkui WANG,

Journal Article

Investigation on sampling artifacts of particle associated PAHs using ozone denuder systems

Kai LIU, Fengkui DUAN, Kebin HE, Yongliang MA, Yuan CHENG

Journal Article

A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Journal Article

Shape reconstruction of parallelogram flaw

ZHENG Gangfeng, WU Bin, HE Cunfu

Journal Article

Accounting for the uncertainties in the estimation of average shear wave velocity using – correlations

Journal Article

Dilution sampling and analysis of particulate matter in biomass-derived syngas

Xiaoliang WANG, Curtis ROBBINS, S. Kent HOEKMAN, Judith C. CHOW, John G. WATSON, Dennis SCHUETZLE

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

Unified methodology for site-characterization and sampling of highway runoff

Jy S. WU, Craig J. ALLAN,

Journal Article

δN-stable isotope analysis of NH: An overview on analytical measurements, source sampling and its source

Journal Article

Meeting deadlines for approximation processing in MapReduce environments

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

Journal Article

Uncertainty propagation in dynamics of composite plates: A semi-analytical non-sampling-based approach

Mahdi FAKOOR, Hadi PARVIZ

Journal Article

Data recovery with sub-Nyquist sampling: fundamental limit and a detection algorithm

Xiqian Luo, Zhaoyang Zhang,ning_ming@zju.edu.cn

Journal Article