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Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 434-447 doi: 10.1007/s11709-022-0820-6

Abstract: This paper uses the spectral stochastic finite element method (SSFEM) for analyzing reinforced concrete

Keywords： uncertainty     spectral stochastic finite element method     correlation length     reliability assessment     reinforced    

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: the fault feature of planet gear effectively, we propose a novel feature extraction method based on spectralFirstly, the spectral kurtosis (SK) and kurtogram of raw vibration signals are computed and exploited

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Engineering doi: 10.1016/j.eng.2023.07.008

Abstract: Wide-angle imaging and spectral detection play vital roles in tasks such as target tracking, object classificationproof-of-concept demonstration, the simultaneous implementation of wide-angle imaging and polarization-spectralThe proposed system supports the imaging (spectral) resolution of approximately 27.8 line-pairs per millimeter(lp·mm−1; ∼80 nm) for an imaging (spectral) mode from 8 to 14 μm.

Keywords： Metasurfaces     Reconfigurable     Imaging     Spectral    

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Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Frontiers in Energy 2011, Volume 5, Issue 2,   Pages 149-158 doi: 10.1007/s11708-010-0124-8

Abstract: Based on the statistical narrow-band (SNB) spectral model with an exponential-tailed inverse intensity

Keywords： soot     combustion     SNB model     nongray radiation    

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Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 138-143 doi: 10.1007/s11708-013-0283-5

Abstract: Spectral technology has become an important detection method due to its advantages such as non-intrusiveIn this paper, two applications of spectral technology in thermal detection were proposed.

Keywords： spectrum     emissivity measurement     component of fuel     near-infrared spectrometer    

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Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 187-197 doi: 10.1007/s11783-008-0004-1

Abstract: The spectral reflectance of recently formed salt marshes at the mouth of the Yangtze River, which areSpectral data were processed concerning reflectance, and the averaged reflectance values for each samplewere re-analysed to correspond to a 12-waveband bandset of the Compact Airborne Spectral Imager.The spectral data were summarised using principal components analysis (PCA) and the relationships betweenthe vegetation composition, and the PCA axes of spectral data were examined.

Keywords： Spectral     multi-seasonal hyperspectral     invasive     JR     re-analysed    

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Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 458-464 doi: 10.1007/s11709-011-0133-7

Abstract: The numerical model is set up using the spectral element method, which is promised to be of high numerical

Keywords： PZT     piezoelectric impedance     optimization     spectral element     damage identification    

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Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 21-29

Abstract:

Welding arc is full of spectral information.situation of the research on this field, expounded the principle of measurement and control by welding arc spectralinformation, described the application situation of welding arc spectral information, for example, theAt the same time, the authors have also introduced the application of arc spectral information in the

Keywords： spectral information     welding arc     plasma     diagnosis     automation    

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An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognitionTo address this problem, we propose a novel method called anchor-based spectral clustering (ASC) by employingBased on this mapping matrix, it is easy to approximate the spectral embedding of the original data.The proposed method, ASC, is compared to the classical spectral clustering and two state-of-the-art acceleratingExperimental results show that ASC is consistently faster than the classical spectral clustering with

Keywords： Clustering     Spectral clustering     Graph Laplacian     Anchors    

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Spectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat

Caiyun LIU, Francisco PINTO, C. Mariano COSSANI, Sivakumar SUKUMARAN, Matthew P. REYNOLDS

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3,   Pages 296-308 doi: 10.15302/J-FASE-2019269

Abstract:

The application of spectral reflectance indices (SRIs) as proxies to screen for yield potential (YP

Keywords： genome-wide association study (GWAS)     heat tolerance     spectral reflectance     spring wheat    

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A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed

Keywords： Antibiotic contamination     Spectral detection     Machine learning    

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Research on Droplet Transfer Spectral Information in Pulsed MIG Welding

Li Junyue,Yang Lijun,Hu Shenggang,Li Huan,Liu Gang

Strategic Study of CAE 2000, Volume 2, Issue 7,   Pages 79-86

Abstract:

By the aid of the spectrum detecting device of welding arc, the droplet transfer spectral informationResults show that the arc spectral information can reflect well droplet transfer process in pulsed MIGMany kinds of spectral information modes of droplet transfer have been found, which can reflect variousThese spectral information have excellent character and therefore the spectral real-time and precise

Keywords： arc spectral information     pulsed MIG welding     droplet transfer     transfer mode    

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Three-dimensional fluorescence spectral characterization of soil dissolved organic matters in the fluctuating

Fang FANG, Yan YANG, Jinsong GUO, Hong ZHOU, Chuan FU, Zhe LI

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 426-434 doi: 10.1007/s11783-010-0264-4

Abstract: Three-dimensional fluorescence spectroscopy was used to investigate the fluorescent properties of soil dissolved organic matter (DOM) in the water-level-fluctuation zone (WLFZ) of Kai County, Three Gorges Reservoir (TGR). Most of the soil DOM analyzed in this study was found to contain four fluorescence peaks. Peaks A and C represent humic-like fluorescence, whereas peaks B and D represent tryptophan-like fluorescence. Peaks E and F, which represent tyrosine-like fluorescence, only appeared in certain soils. Soil humus was the main source of DOM in soil, and higher concentration of soil DOM was found in the exposed soil than submerged soil. Compared to the peaks A and B, the fluorescence intensities of peaks C and D were strongly influenced by the fluctuating water level. Analysis of fluorescence intensities of different peaks in soil DOM showed that WLFZ soil was not contaminated significantly. Soil DOM contained at least two types of humic-like fluorescence groups and two types of protein-like fluorescence groups. The proportion of the content of peak A in soil organic matter was quite stable. The soil DOM in exposed soil had relatively high humification and aromaticity, and periodic submerging and exposure of soil had an impact on the humification of soil DOM.

Keywords： water-level-fluctuation zone (WLFZ)     soil     dissolved organic matter (DOM)     three-dimensional fluorescence spectra    

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Properties of photosynthesis and spectral reflectance in leaves of maize under the low and variable water

Sun Li,Su Gengqiang,Liu Yanmei,Zhao Yanyan and Shi Gangrong

Strategic Study of CAE 2012, Volume 14, Issue 3,   Pages 70-75

Abstract: water conditions on plant biomass, root to shoot ratio, chlorophyll fluorescence, gas exchange and spectralgrowth was inhibited, however, the root to shoot ratio, chlorophyll fluorescence, gas exchange and spectralThe results indicated that the maintenance of biomass allocation, photosynthesis and spectral reflectance

Keywords： Maize     low and variable water conditions     chlorophyll fluorescence     gas exchange     spectral reflectance    

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Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1721-1

Abstract:

● A method based on ATR-FTIR and ML was developed to predict CHNS contents in waste.

Keywords： Elemental composition     Infrared spectroscopy     Machine learning     Moisture interference     Solid waste     Spectral    

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Title Author Date Type Operation

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Fei Zhang,Minghao Liao,Mingbo Pu,Yinghui Guo,Lianwei Chen,Xiong Li,Qiong He,Tongtong Kang,Xiaoliang Ma,Yuan Ke,Xiangang Luo,

Journal Article

Nongray radiation from gas and soot mixtures in planar plates based on statistical narrow-band spectral

Huaqiang CHU, Qiang CHENG, Huaichun ZHOU, Fengshan LIU

Journal Article

Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Journal Article

Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan,

ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin

Journal Article

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Journal Article

Technology of Measurement and Control by Welding Arc Spectral Information and Its Application

Li Junyue,Yang Yunqiang,Li Huan,Zhang Xiaonan,Yang Lijun

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

Spectral reflectance indices as proxies for yield potential and heat stress tolerance in spring wheat

Caiyun LIU, Francisco PINTO, C. Mariano COSSANI, Sivakumar SUKUMARAN, Matthew P. REYNOLDS

Journal Article

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

Research on Droplet Transfer Spectral Information in Pulsed MIG Welding

Li Junyue,Yang Lijun,Hu Shenggang,Li Huan,Liu Gang

Journal Article

Three-dimensional fluorescence spectral characterization of soil dissolved organic matters in the fluctuating

Fang FANG, Yan YANG, Jinsong GUO, Hong ZHOU, Chuan FU, Zhe LI

Journal Article

Properties of photosynthesis and spectral reflectance in leaves of maize under the low and variable water

Sun Li,Su Gengqiang,Liu Yanmei,Zhao Yanyan and Shi Gangrong

Journal Article

Predicting the elemental compositions of solid waste using ATR-FTIR and machine learning

Journal Article