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Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Strategic Study of CAE 2001, Volume 3, Issue 8,   Pages 15-24

Abstract:

Traditional forest resources inventory is a hard mission, which needs much time, work and money. At the end of 1970s, remote sensing technology was introduced into China and has been used since then in the activities of forest resource inventory, especially in estimating forest stock volume, they include： Estimating volume stock of forest using quantitative value and qualitative factors of satellite data; Application of above — mentioned techniquess in different climate zones in China (The method has been spreaded over 7 million hectares in China); Estimating forestland, including area of fragments woodland and index of forest network etc. Through careful analysis of precision against costs, it is indicated that remote sensing method can save 1/3 to 1/2 budget in comparison with the traditional method.

In recent years, based on the previous study and by using modern statistic measure, new exploration and deeper study were done. These studies have solved some key problems in application of remote sensing in forestry resource inventory, such as calibrating remote sensing image against sampling plots on the ground, decreasing field work, increasing accuracy of stock volume on compartment, fast selecting optimal function, and avoiding factors that are hard to be determined by remote sensing data (such as age group, crown canopy, etc.). Both theor etical and practical applications have confirmed that remote sensing information play a leading role in estimating forest stock volume.

These discussed studies have made a good basis for the application of remote sensing in forest inventory, and given strong support for establishing a new system of forest inventory, which use remote sensing technology as primary measure.

At the end of this paper, a frame of new system of forest resource inventory is put forward, and suggestion on key problem in the new system is discussed.

Keywords： inventory by remote sensing     non-parameter estimation     forest stock volume     modern statistics    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and driveSecondly, a coordination estimation method is further applied to identify the parameters of the DFIGand the drive train simultaneously with the purpose of attaining the global optimal estimation resultsThe main benefit of the proposed scheme is the improved estimation accuracy.Estimation results confirm the applicability of the proposed estimation technique.

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Non-iterative parameter estimation of the 2R-1Cmodel suitable for low-cost embedded hardware Article

Mitar SIMIĆ, Zdenka BABIĆ, Vladimir RISOJEVIĆ, Goran M. STOJANOVIĆ

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 476-490 doi: 10.1631/FITEE.1900112

Abstract: Parameter estimation of the 2R-1C model is usually performed using iterative methods that require high-performanceIn this study, we propose the quadratic interpolation non-iterative parameter estimation (QINIPE) methodreduces the number of required measurement points by 80% in comparison with our previously reported non-iterativeparameter estimation (NIPE) method, while keeping the relative estimation error to less than 1% forBoth non-iterative methods are implemented on a microcontroller-based device; the estimation accuracy

Keywords： 2R-1C model     Embedded systems     Parameter estimation     Non-iterative methods     Quadratic interpolation    

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Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 54-59

Abstract:

A new estimation method based on modified performance index is proposed for time-varying process to

Keywords： parameter estimation     method of calculation     least square method     time-varying system     industrial production    

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Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 169-186 doi: 10.1007/s11709-017-0385-y

Abstract: In this paper, we introduce two non-parametric approaches to establish the fragility curves without employingthe above assumption, namely binned Monte Carlo simulation and kernel density estimation.The curves obtained with the non-parametric approaches are compared with respective curves based on the

Keywords： earthquake engineering     fragility curves     lognormal assumption     non-parametric approach     kernel density estimation    

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Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform Research Articles

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1251-1266 doi: 10.1631/FITEE.1900272

Abstract: Doppler frequency migration within the coherent processing interval seriously degrade the detection and estimation

Keywords： Coherent integration     Maneuvering target     Parameter estimation     Location rotation transform (LRT)     Non-uniform    

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Experimental study on velocity characteristics of recirculation zone in humid air non-premixed flame

GU Xin, ZANG Shusheng, GE Bing

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 140-144 doi: 10.1007/s11708-008-0037-y

Abstract: recirculation zone on flame structure, the characteristic velocity fields of methane/humid air flame in non-premixedcombustion shortens, and the minimal dimensionless velocity increases compared with the conventional non-humidunder different co-flow air velocity conditions reveals that fuel-to-air velocity ratio is the crucial parameter

Keywords： distance     bluff-body     fuel-to-air velocity     stagnation     parameter    

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A multi-functional dynamic state estimator for error validation: measurement and parameter errors and Article

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1218-1227 doi: 10.1631/FITEE.1500301

Abstract: propose a new and efficient algorithm to detect, identify, and correct measurement errors and branch parameterA dynamic state estimation algorithm is used based on the Kalman filter theory.

Keywords： Dynamic state estimation     Kalman filter     Measurement errors     Branch parameter errors     Sudden load changes    

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Parameter estimation in exponential models by linear and nonlinear fitting methods Article

Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 434-444 doi: 10.1631/FITEE.1601683

Abstract: Estimation of unknown parameters in exponential models by linear and nonlinear fitting methods is discussedestimated from underwater images and imaging distances, which supports the improvement in the accuracy of parameterestimation by the nonlinear fitting method.

Keywords： Exponential model     Parameter estimation     Linear least squares     Nonlinear fitting    

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The Double-K Fracture Parameter of Concrete for Non-Standard Three Point Bending Beam Specimens

Wu Zhimin,Xu Shilang,Ding Yining,Lu Xijing,Liu Jiayi,Ding Sheng gen

Strategic Study of CAE 2001, Volume 3, Issue 4,   Pages 76-81

Abstract:

Using the non-standard three-point bending beam specimens of concrete, which have the span/ heightunIC and the critical crack tip opening displacement CTODc for the non-standardThis indicates that the double-K fracture parameter can be considered as a constant for concrete materials

Keywords： concrete     three-point bending beam     fracture parameter    

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Non-equidistant GM(1,1) power model and its application in engineering

Wang Zhengxin,Dang Yaoguo,Liu Sifeng

Strategic Study of CAE 2012, Volume 14, Issue 7,   Pages 98-102

Abstract:

Aiming at the problem of modeling for non-equidistant sequence, the non-equidistantA non-linear optimization model is constructed with the objective of minimum average relative error,Both non equidistant GM(1,1) model and Grey Verhulst model were the special cases of non equidistantFinally, an engineering example of non-equidistant sequence shows modeling accuracy in traditional modeling, which was significantly improved by non equidistant GM(1,1) power model.

Keywords： grey system     non-equidistant sequence     GM(1     1) power model     parameter optimization    

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Astatistical distribution texton feature for synthetic aperture radar image classification Article

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1614-1623 doi: 10.1631/FITEE.1601051

Abstract: of statistical distribution in SAR images, the s-texton feature is developed based on the idea that parameterestimation of the statistical distribution can replace the filtering operation in the traditional textureextracting the s-texton feature, several strategies are adopted, including pre-processing, spatial gridding, parameterestimation, texton clustering, and histogram

Keywords： Synthetic aperture radar     Statistical distribution     Parameter estimation     Image classification    

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Estimation of load and resistance factors using the third-moment method based on the 3P-lognormal distribution

Yan-Gang ZHAO, Zhao-Hui LU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 315-322 doi: 10.1007/s11709-011-0117-7

Abstract: In this article, the third-moment reliability index, based on the three-parameter lognormal (3P-lognormal

Keywords： load and resistance factors     third-moment method     three-parameter lognormal (3P-lognormal) distribution    

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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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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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Title Author Date Type Operation

Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Non-iterative parameter estimation of the 2R-1Cmodel suitable for low-cost embedded hardware

Mitar SIMIĆ, Zdenka BABIĆ, Vladimir RISOJEVIĆ, Goran M. STOJANOVIĆ

Journal Article

Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Journal Article

Seismic fragility curves for structures using non-parametric representations

Chu MAI, Katerina KONAKLI, Bruno SUDRET

Journal Article

Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Journal Article

Experimental study on velocity characteristics of recirculation zone in humid air non-premixed flame

GU Xin, ZANG Shusheng, GE Bing

Journal Article

A multi-functional dynamic state estimator for error validation: measurement and parameter errors and

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Journal Article

Parameter estimation in exponential models by linear and nonlinear fitting methods

Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG

Journal Article

The Double-K Fracture Parameter of Concrete for Non-Standard Three Point Bending Beam Specimens

Wu Zhimin,Xu Shilang,Ding Yining,Lu Xijing,Liu Jiayi,Ding Sheng gen

Journal Article

Non-equidistant GM(1,1) power model and its application in engineering

Wang Zhengxin,Dang Yaoguo,Liu Sifeng

Journal Article

Astatistical distribution texton feature for synthetic aperture radar image classification

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Journal Article

Estimation of load and resistance factors using the third-moment method based on the 3P-lognormal distribution

Yan-Gang ZHAO, Zhao-Hui LU

Journal Article

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

Journal Article

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

Pijush Samui, Jagan J

Journal Article