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Parameter estimation 4

parameter optimization 4

Parameter optimization 2

Parameter variations 2

cutting parameter 2

modal analysis 2

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1) power model 1

2R-1C model 1

30o-120o 1

MYH1 1

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An efficient prediction framework for multi-parametric yield analysis under parameter variations Article

Xin LI,Jin SUN,Fu XIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1344-1359 doi: 10.1631/FITEE.1601225

Abstract: Due to continuous process scaling, process, voltage, and temperature (PVT) parameter variations haveFirst, the framework models the performance metrics in terms of PVT parameter variations by using the

Keywords： Yield prediction     Parameter variations     Multi-parametric yield     Performance modeling     Sparse representation    

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An efficient bi-objective optimization framework for statistical chip-level yield analysis under parametervariations

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 160-172 doi: 10.1631/FITEE.1500168

Abstract:

With shrinking technology, the increase in variability of process, voltage, and temperature (PVT) parameters significantly impacts the yield analysis and optimization for chip designs. Previous yield estimation algorithms have been limited to predicting either timing or power yield. However, neglecting the correlation between power and delay will result in significant yield loss. Most of these approaches also suffer from high computational complexity and long runtime. We suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) and the adaptive weighted sum (AWS) method.Both power and timing yield are set as objective functions in this framework. The two objectives are optimized simultaneously to maintain the correlation between them. The proposed method first predicts the guaranteed probability bounds for leakage and delay distributions under the assumption of arbitrary correlations. Then a power-delay bi-objective optimization model is formulated by computation of cumulative distribution function (CDF) bounds. Finally, the AWS method is applied for power-delay optimization to generate a well-distributed set of Pareto-optimal solutions. Experimental results on ISCAS benchmark circuits show that the proposed bi-objective framework is capable of providing sufficient trade-off information between power and timing yield.

Keywords： Parameter variations     Parametric yield     Multi-objective optimization     Chebyshev affine     Adaptive weighted    

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Effects of sulfur on variations in the chemical speciation of heavy metals from fly ash glass

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1728-7

Abstract:

● A higher sulfur content reduced the curing rate of Cr in glass.

Keywords： Dechlorinated fly ash     SO3     Heavy metal     Chemical speciation     Glass solidification    

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Genomic variations in the counterpart normal controls of lung squamous cell carcinomas

Dalin Zhang, Liwei Qu, Bo Zhou, Guizhen Wang, Guangbiao Zhou

Frontiers of Medicine 2018, Volume 12, Issue 3,   Pages 280-288 doi: 10.1007/s11684-017-0580-1

Abstract: However, few studies have investigated the genomic variations that occur only in normal tissues thatSixteen genomic variations were called in the three normal lung tissues.These variations were confirmed by Sanger capillary sequencing.A mean of 0.5661 exonic variations/Mb and 7.7887 altered genes per sample were identified in the CNCCNC variations in CTAGE5 and USP17L7 were associated with the poor

Keywords： lung cancer     counterpart normal control     genomic variations    

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Seasonal and treatment-process variations in invertebrates in drinking water treatment plants

Zhiling Wu, Xianchun Tang, Hongbin Chen

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1354-6

Abstract: Abstract • Seasonal and treatment-process variations in invertebrates in a DWTP were analyzed. • Thedrinking water treatment plant between May 2015 and April 2016 and analyzed seasonal and treatment-process variations

Keywords： Invertebrates     Drinking water     Seasonal variations     Treatment process    

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Bioaerosol emissions variations in large-scale landfill region and their health risk impacts

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1593-9

Abstract:

● The airborne bacteria in landfills were 4–50 times higher than fungi.

Keywords： Microbial aerosols     Landfill sites     Health risk assessment     CALPUFF    

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Investigations on color variations of Morpho rhetenor butterfly wing scales

Guanglan LIAO, Haibo ZUO, Xuan JIANG, Xuefeng YANG, Tielin SHI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 394-400 doi: 10.1007/s11465-012-0347-y

Abstract:

Experiments and simulations are carried out to investigate the optical properties of butterfly wing scales. The upper surface of a male butterfly wing presents a single-layer of scales, the microstructures of which are responsible for the brilliant blue color. The color varies from cyan blue to yellow green and soon afterwards returns back to cyan blue when some ethanol is dropped on the upper surface. At the start of the ethanol volatilization process, the reflection spectrum remains stable. As the ethanol further volatilizes, the peak reflectance decreases slightly, then increases dramatically. Meanwhile, the peak wavelength keeps approximately constant, then decreases, and keeps almost stable at the end of the process. Therefore, the optical properties depend strongly on the varying ambient conditions, including the refractive index and the thickness of the packing medium. Moreover, the possible causes for the scales in dark green region after several dropping ethanol experiments are clarified. This research benefits our understanding of the color variation mechanisms of the wing scales, and provides inspiration for further studies and applications.

Keywords： Morpho rhetenor     microstructures     color variations     ambient medium    

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Seasonal variations of transport pathways andpotential sources of PM

Yuan Chen, Shaodong Xie, Bin Luo

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 1, doi: 10.1007/s11783-018-1009-z

Abstract: Seasonal pattern of transport pathways and potential sourcesof PM in Chengdu during 2012–2013were investigated based on hourly PM data,backward trajectories, clustering analysis, potential source contributionfunction (PSCF), and concentration-weighted trajectory (CWT) method.The annual hourly mean PM concentrationin Chengdu was 97.4 mg·m . 5, 5, 5 and 3 mean clusters were generatedin four seasons, respectively. Short-distance air masses, which travelledwithin the Sichuan Basin with no specific source direction and relativelyhigh PM loadings (>80 mg·m ) appearedas important pathways in all seasons. These short pathways indicatedthat emissions from both local and surrounding regions of Chengducontributed significantly to PM pollution.The cities in southern Chengdu were major potential sources with PSCF>0.6and CWT>90 mg·m . The northeastern pathway prevailed throughoutthe year with higher frequency in autumn and winter and lower frequencyin spring and summer. In spring, long-range transport from southernXinjiang was a representative dust invasion path to Chengdu, and theCWT values along the path were 30-60 mg·m . Long-range transportwas also observed in autumn from southeastern Xinjiang along a northwesterlypathway, and in winter from the Tibetan Plateau along a westerly pathway.In summer, the potential source regions of Chengdu were smaller thanthose in other seasons, and no long-range transport pathway was observed.Results of PSCF and CWT indicated that regions in Qinghai and Tibetcontributed to PM pollution in Chengdu aswell, and their CWT values increased to above 30 mg·m in winter.

Keywords： Transport pathway     Backwardtrajectory     Clustering analysis     Potential source     Chengdu    

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Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4,   Pages 649-664 doi: 10.1007/s11783-014-0702-9

Abstract: the water quality status of Yuqiao Reservoir Basin, North China, for assessing its spatio-temporal variationsTemp, pH, SS, T-har, DO, NO -N and TP were identified as significant variables affecting spatial variations, and Temp, pH and NO -N were identified as significant variables affecting temporal variations by discriminantFactor analysis identified four latent pollution sources for water quality variations: nutrient pollution

Keywords： Fuzzy comprehensive assessment     multivariate statistical analysis     water quality    

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Robust design approach to the minimization of functional performance variations of products and systems

J. ZHANG, H. DU, D. XUE, P. GU

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 379-392 doi: 10.1007/s11465-020-0607-1

Abstract: Functional performance variations of products and systems are often used to measure the qualities ofproducts and systems considering the changes in the design parameter values caused by uncertainties.A robust design approach has been developed in this research to minimize the functional performance variationsvariations through optimization.configuration, (2) the optimal values of design parameters, and (3) the boundaries of functional performance variations

Keywords： product design     robust design     design optimization     uncertainties    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: In fiber laser beam welding (LBW), the selection of optimal processing parameters is challenging and plays a key role in improving the bead geometry and welding quality. This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal welding parameters. An inverse proportional weighting method that considers the leave-one-out prediction error is presented to construct EM, which incorporates the competitive strengths of three metamodels. EM constructs the correlation between processing parameters (laser power, welding speed, and distance defocus) and bead geometries (bead width, depth of penetration, neck width, and neck depth) with average errors of 10.95%, 7.04%, 7.63%, and 8.62%, respectively. On the basis of EM, MOABC is employed to approximate the Pareto front, and verification experiments show that the relative errors are less than 14.67%. Furthermore, the main effect and the interaction effect of processing parameters on bead geometries are studied. Results demonstrate that the proposed EM-MOABC is effective in guiding actual fiber LBW applications.

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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Genotype variations in accumulation of cadmium and lead in celery (

Kun ZHANG, Jianbing WANG, Zhongyi YANG, Guorong XIN, Jiangang YUAN, Junliang XIN, Charlie HUANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 1,   Pages 85-96 doi: 10.1007/s11783-012-0399-3

Abstract: To help reduce risks of heavy metal pollution, two pot experiments were conducted to investigate the variationsThese genotype variations in Cd accumulation are sufficiently large to help reduce Cd contamination risk

Keywords： cadmium (Cd) accumulation     lead (Pb) accumulation     celery     genotype variation     food safety    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parametervolumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameterA sensitivity analysis has been done to determine the effect of each input parameter on .

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: The 2 × 1000 MW ultra-supercritical steam turbine of Shanghai Waigaoqiao Phase III project, which uses grid frequency regulation and overload control through an overload valve, is manufactured by Shanghai Turbine Company using Siemens technology. Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding pressure operation. At high circulating water temperature, the turbine overload valve is kept closed when the unit load is lower than 1000 MW while at other circulating water temperatures the turbine can run in sliding pressure operation when the unit load is higher than 1000 MW and the pressure is lower than 27 MPa This increases the unit operation efficiency. The 3D bending technology in the critical piping helps to reduce the project investment and minimize the reheat system pressure drop which improves the unit operation efficiency and safety. By choosing lower circulating water design temperature and by setting the individual Boiler Feedwater Turbine condenser to reduce the exhaust steam flow and the heat load to the main condenser, the unit average back pressure and the terminal temperature difference are minimized. Therefore, the unit heat efficiency is increased.
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Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 55-65 doi: 10.1007/s11465-019-0545-y

Abstract: This study proposes a structural parameter design approach for an FSM system based on the quantitative

Keywords： fast-steering mirror     structural parameter     PI controller     bandwidth     notch filter    

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Title Author Date Type Operation

An efficient prediction framework for multi-parametric yield analysis under parameter variations

Xin LI,Jin SUN,Fu XIAO

Journal Article

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parametervariations

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Journal Article

Effects of sulfur on variations in the chemical speciation of heavy metals from fly ash glass

Journal Article

Genomic variations in the counterpart normal controls of lung squamous cell carcinomas

Dalin Zhang, Liwei Qu, Bo Zhou, Guizhen Wang, Guangbiao Zhou

Journal Article

Seasonal and treatment-process variations in invertebrates in drinking water treatment plants

Zhiling Wu, Xianchun Tang, Hongbin Chen

Journal Article

Bioaerosol emissions variations in large-scale landfill region and their health risk impacts

Journal Article

Investigations on color variations of Morpho rhetenor butterfly wing scales

Guanglan LIAO, Haibo ZUO, Xuan JIANG, Xuefeng YANG, Tielin SHI

Journal Article

Seasonal variations of transport pathways andpotential sources of PM

Yuan Chen, Shaodong Xie, Bin Luo

Journal Article

Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Journal Article

Robust design approach to the minimization of functional performance variations of products and systems

J. ZHANG, H. DU, D. XUE, P. GU

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

Genotype variations in accumulation of cadmium and lead in celery (

Kun ZHANG, Jianbing WANG, Zhongyi YANG, Guorong XIN, Jiangang YUAN, Junliang XIN, Charlie HUANG

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Journal Article