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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: Recently, dictionary learning (DL) based methods have been introduced to compressed sensing magneticfeatures from multi-scale, multi-directional perspective, which influences the reconstruction performanceIn this paper, incorporating the superior multi-scale properties of uniform discrete curvelet transformEach sub-dictionary of different sub-bands is trained independently to form the multi-scale dictionariesMulti-scale UDCT dictionaries potentially outperform both single-scale trained dictionaries and multi-scale

Keywords： Compressed sensing (CS)     Magnetic resonance imaging (MRI)     Uniform discrete curvelet transform (UDCT)     Multi-scaledictionary learning (MSDL)     Patch-based constraint splitting augmented Lagrangian shrinkage algorithm    

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On the added value of multi-scale modeling of concrete

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 1-23 doi: 10.1007/s11709-021-0790-0

Abstract: This review of the added value of multi-scale modeling of concrete is based on three representative examplesThe structural nature of the high-dynamic strength increase can be explained by using a multi-scale modelThe second example refers to multi-scale thermoelastic analysis of concrete pavements, subjected to solarThe third example deals with multi-scale structural analysis of a real-scale test of a segmental tunnelOverall, it is concluded that multi-scale models have indeed a significant added value.

Keywords： experiments     multi-scale analysis     conventional structural analysis     concrete     reinforced concrete    

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Environmental dispersivity in free-water-surface-effect dominated wetland: multi-scale analysis

Zi WU, Zhi LI, Li ZENG, Ling SHAO, Hansong TANG, Qing YANG, Guoqian CHEN

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 597-603 doi: 10.1007/s11783-011-0311-9

Abstract: the most-typical pattern of wetland as dominated by free-water-surface-effect is characterized by a multi-scaleevolution of the mean concentration is deduced as an extension of Taylor's classical formulation by Mei’s multi-scale

Keywords： free-surface wetland     environmental dispersion     multi-scale analysis    

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Hydromechanical model for hydraulic fractures using XFEM

Bo HE

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 240-249 doi: 10.1007/s11709-018-0490-6

Abstract: Finally, examples are presented to demonstrate the versatility and efficiency of this two-scale hydromechanical

Keywords： multi-phase medium     porous     fracture     multi-scale method    

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A multi-scale model for CO

G. X. WANG, X. R. WEI, V. RUDOLPH, C. T. WEI, Y. QIN

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 1,   Pages 20-25 doi: 10.1007/s11705-009-0138-0

Abstract: This paper presents a multi-scale model to simulate the multicomponent gas diffusion and flow in bulk

Keywords： multi-scale model     gas transport     coal     coalbed methane     CO2 sequestration    

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Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 121-140 doi: 10.1007/s11709-015-0290-1

Abstract: The spatial variability of stress fields resulting from polycrystalline aggregate calculations involving random grain geometry and crystal orientations is investigated. A periodogram-based method is proposed to identify the properties of homogeneous Gaussian random fields (power spectral density and related covariance structure). Based on a set of finite element polycrystalline aggregate calculations the properties of the maximal principal stress field are identified. Two cases are considered, using either a fixed or random grain geometry. The stability of the method w.r.t the number of samples and the load level (up to 3.5% macroscopic deformation) is investigated.

Keywords： polycrystalline aggregates     crystal plasticity     random fields     spatial variability     correlation structure    

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Multi-scale investigation of active failure for various modes of wall movement

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 961-979 doi: 10.1007/s11709-021-0738-4

Abstract: Hence, mechanical understanding of the problem warrants multi-scale analyses that investigate reciprocalAccordingly, this study attempts a multi-scale examination of failure evolution in cohesionless backfills

Keywords： discrete-element modelling     granular materials     retaining walls     particle shape     arching    

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Multi-scale evaluation of river health in Liao River Basin, China

Fei XU, Yanwei ZHAO, Zhifeng YANG, Yuan ZHANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 227-235 doi: 10.1007/s11783-010-0219-9

Abstract: Previous studies on river health evaluation mainly focused on characterizations at a river-corridor scaleof the interactions among rivers, associated river basin and habitats, an assessment framework with multi-scaleSet pair analysis was applied to integrate the multi-scale indicators and determine the health classes

Keywords： multi-scale characterization     river health evaluation     Liao River Basin     set pair analysis    

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Macro-architectured cellular materials: Properties, characteristic modes, and prediction methods

Zheng-Dong MA

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 442-459 doi: 10.1007/s11465-018-0488-8

Abstract:

Macro-architectured cellular (MAC) material is defined as a class of engineered materials having configurable cells of relatively large (i.e., visible) size that can be architecturally designed to achieve various desired material properties. Two types of novel MAC materials, negative Poisson’s ratio material and biomimetic tendon reinforced material, were introduced in this study. To estimate the effective material properties for structural analyses and to optimally design such materials, a set of suitable homogenization methods was developed that provided an effective means for the multiscale modeling of MAC materials. First, a strain-based homogenization method was developed using an approach that separated the strain field into a homogenized strain field and a strain variation field in the local cellular domain superposed on the homogenized strain field. The principle of virtual displacements for the relationship between the strain variation field and the homogenized strain field was then used to condense the strain variation field onto the homogenized strain field. The new method was then extended to a stress-based homogenization process based on the principle of virtual forces and further applied to address the discrete systems represented by the beam or frame structures of the aforementioned MAC materials. The characteristic modes and the stress recovery process used to predict the stress distribution inside the cellular domain and thus determine the material strengths and failures at the local level are also discussed.

Keywords： architectured material     cellular materials     multi-scale modeling     homogenization method     effective material    

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A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring Article

Chunhua Yang, Huiping Liang, Keke Huang, Yonggang Li, Weihua Gui

Engineering 2021, Volume 7, Issue 9,   Pages 1262-1273 doi: 10.1016/j.eng.2020.08.028

Abstract: data and online testing data that is induced by changeable operation environments, a robust transfer dictionarylearning (RTDL) algorithm is proposed in this paper for industrial process monitoring.The RTDL is a synergy of representative learning and domain adaptive transfer learning.In this way, a robust dictionary can be learned even if the characteristics of the source domain andSuch a dictionary can effectively improve the performance of process monitoring and mode classification

Keywords： Process monitoring     Multimode process     Dictionary learning     Transfer learning    

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The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Strategic Study of CAE 2003, Volume 5, Issue 4,   Pages 61-64

Abstract: detect image edges on the basis of wavelet transform and then designs the detecting algorithm of the multi-scale

Keywords： wavelet transform     multi-scale     edges detection    

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Laplacian sparse dictionary learning for image classification based on sparse representation Article

Fang LI, Jia SHENG, San-yuan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1795-1805 doi: 10.1631/FITEE.1600039

Abstract: proved to be a powerful tool for solving problems in various fields such as pattern recognition, machine learningAs one of the building blocks of the sparse representation method, dictionary learning plays an importantLaplacian sparse dictionary (LSD) learning.Our method is based on manifold learning and double sparsity.learn a smaller dictionary for each class.

Keywords： Sparse representation     Laplacian regularizer     Dictionary learning     Double sparsity     Manifold    

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DDUC: an erasure-coded system with decoupled data updating and coding Research Article

Xiang LI, Yibing LI, Chunrui TANG, Yingsong LI,chunruitang@126.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 5,   Pages 742-758 doi: 10.1631/FITEE.2200253

Abstract: factors such as lack of prior knowledge on recognition results, researchers have gradually adopted deep learningaccuracy of the modulated signal at low signal-to-noise ratios, we have designed a novel network of multi-scaleThe network consists of a denoising encoder with deep adaptive threshold learning and a decoder withThe network demonstrates a flexible self-learning capability for different noise thresholds and the effectivenessof the designed feature fusion module in multi-scale feature acquisition for various modulation types

Keywords： Signal noise elimination     Deep adaptive threshold learning network     Multi-scale feature fusion     Modulation    

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Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation

Frontiers of Medicine 2023, Volume 17, Issue 1,   Pages 68-74 doi: 10.1007/s11684-022-0955-9

Abstract: By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropy

Keywords： glucose monitoring     impaired glucose regulation     insulin secretion and sensitivity     refined composite multi-scale    

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scheme of low-dose CT reconstruction using TV minimization with an adaptive stopping strategy and sparse dictionarylearning for post-processing Article

Yong DING, Tuo HU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 2001-2008 doi: 10.1631/FITEE.1700287

Abstract: we propose a promising reconstruction scheme which combines total-variation minimization and sparse dictionarylearning to enhance the reconstruction performance, and properly schedule them with an adaptive iteration

Keywords： Low-dose computed tomography (CT)     CT imaging     Total variation     Sparse dictionary learning    

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Title Author Date Type Operation

Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Journal Article

On the added value of multi-scale modeling of concrete

Journal Article

Environmental dispersivity in free-water-surface-effect dominated wetland: multi-scale analysis

Zi WU, Zhi LI, Li ZENG, Ling SHAO, Hansong TANG, Qing YANG, Guoqian CHEN

Journal Article

Hydromechanical model for hydraulic fractures using XFEM

Bo HE

Journal Article

A multi-scale model for CO

G. X. WANG, X. R. WEI, V. RUDOLPH, C. T. WEI, Y. QIN

Journal Article

Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Journal Article

Multi-scale investigation of active failure for various modes of wall movement

Journal Article

Multi-scale evaluation of river health in Liao River Basin, China

Fei XU, Yanwei ZHAO, Zhifeng YANG, Yuan ZHANG

Journal Article

Macro-architectured cellular materials: Properties, characteristic modes, and prediction methods

Zheng-Dong MA

Journal Article

A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring

Chunhua Yang, Huiping Liang, Keke Huang, Yonggang Li, Weihua Gui

Journal Article

The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Journal Article

Laplacian sparse dictionary learning for image classification based on sparse representation

Fang LI, Jia SHENG, San-yuan ZHANG

Journal Article

DDUC: an erasure-coded system with decoupled data updating and coding

Xiang LI, Yibing LI, Chunrui TANG, Yingsong LI,chunruitang@126.com

Journal Article

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation

Journal Article

scheme of low-dose CT reconstruction using TV minimization with an adaptive stopping strategy and sparse dictionarylearning for post-processing

Yong DING, Tuo HU

Journal Article