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Sparse fast Clifford Fourier transform Article

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1131-1141 doi: 10.1631/FITEE.1500452

Abstract: The Clifford Fourier transform (CFT) can be applied to both vector and scalar fields.The sparse fast Fourier transform (sFFT) theory deals with the big data problem by using input data selectivelyThis has inspired us to create a new algorithm called sparse fast CFT (SFCFT), which can greatly improveThe results demonstrate that SFCFT can effectively improve the performance of multivector signal processing

Keywords： Sparse fast Fourier transform (sFFT)     Clifford Fourier transform (CFT)     Sparse fast Clifford Fouriertransform (SFCFT)     Clifford algebra    

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Asystematic review of structured sparse learning Review

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 445-463 doi: 10.1631/FITEE.1601489

Abstract: from diverse scientific research fields and industrial development have led to increased interest in sparseStructured sparse learning encodes the structural information of the variables and has been quite successfulThese regularizations have greatly improved the efficacy of sparse learning algorithms through the useIn this article, we present a systematic review of structured sparse learning including ideas, formulationsimplementations, and compare the computational complexity of typical optimization methods to solve structured sparse

Keywords： Sparse learning     Structured sparse learning     Structured regularization    

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: mn> regularization method often struggles to generate sparseMJX-TeXAtom-ORD">ℓ1 sparseTo alleviate such limitations, a novel non-convex sparse regularization method that uses the non-convexrealize simultaneous impact localization and time history reconstruction with an under-determined, sparse

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating    

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Preliminary design of an SCO conversion system applied to the sodium cooled fast reactor

Frontiers in Energy 2021, Volume 15, Issue 4,   Pages 832-841 doi: 10.1007/s11708-021-0777-5

Abstract: dioxide (SCO2) Brayton cycle has become an ideal power conversion system for sodium-cooled fast

Keywords： sodium-cooled fast reactor (SFR)     supercritical carbon dioxide (SCO2)     brayton cycle     load    

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Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 33-46 doi: 10.1007/s11465-018-0514-x

Abstract: In this paper, an uncertainty propagation analysis method is developed based on an extended sparse gridSubsequently, within the sparse grid numerical integration framework, the statistical moments of the

Keywords： uncertainty propagation analysis     extended sparse grid     maximum entropy principle     extended Gauss integration    

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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: Sparse representation is a mathematical model for data representation that has proved to be a powerfulAs one of the building blocks of the sparse representation method, dictionary learning plays an importantWe incorporate the Laplacian weighted graph in the sparse representation model and impose the l1-normAn LSD is a sparse overcomplete dictionary that can preserve the intrinsic structure of the data andResults show the advantages of the proposed LSD algorithm over state-of-the-art sparse representation

Keywords： Sparse representation     Laplacian regularizer     Dictionary learning     Double sparsity     Manifold    

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The Research and Implementation of EAP - FAST Protocol in Public Wireless Local Area Network

Cao Ping,Pei Wenjiang

Strategic Study of CAE 2005, Volume 7, Issue 12,   Pages 78-82

Abstract: protocol is vulnerable to dictionary attacks, the flexible authentication via secure tunneling (EAP - FASTand design this protocol in public wireless local area network, and implement the function of EAP - FASTpeer, authenticator and FAST server in PWLAN integrate experimentation flat.

Keywords： network     port based network access control (802.1x)     flexible authentication via secure tunneling (EAP —FAST    

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Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 130-141 doi: 10.1007/s11465-014-0298-6

Abstract: For this purpose, the performances of envelope detection with fast Fourier transform (FFT) and continuous

Keywords： Fault detection     spline wavelet     continuous wavelet transform     fast Fourier transform    

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“Fast Track” nasogastric decompression of rectal cancer surgery

Ka Li, Zongguang Zhou, Zengrong Chen, Yi Zhang, Cun Wang

Frontiers of Medicine 2011, Volume 5, Issue 3,   Pages 306-309 doi: 10.1007/s11684-011-0154-6

Abstract: This study evaluates the application of fast track (FT) nasogastric decompression in patients who underwentA randomized control trial was performed comparing the group with the fast track treatment ( =β57) andThe fast track procedure might help in facilitating postoperative functional and diet recovery, reducing

Keywords： fast track     nasogastric decompression     rectal cancer     surgery    

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Investigation of vortical flows over oscillating body using fast Lagrangian vortex method

Baoshan ZHU ,

Frontiers in Energy 2009, Volume 3, Issue 3,   Pages 297-306 doi: 10.1007/s11708-009-0010-4

Abstract: pressure distribution of the flow field are calculated by integral formulations in combination with a fast

Keywords： unsteady vortical flows     fast vortex method     vortex shedding     rotational oscillation     thin cambered blade    

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Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 389-402 doi: 10.1631/FITEE.1500385

Abstract: In particular, the sparse and noisy nature of social media data poses serious challenges in pinpointingknowledge, this is the first time home location has been detected at such a fine granularity using sparse

Keywords： Home location     Mobility patterns     Healthcare    

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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: In this paper, a novel RGBD and sparse learning based tracker is proposed.The range data is integrated into the sparse learning framework in three respects.demonstrate that the proposed tracker outperforms the state-of-the-art tracking algorithms, including both sparse

Keywords： Object tracking     Sparse learning     Depth view     Occlusion templates     Occlusion detection    

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A fast and accurate dynamic relaxation scheme

Mohammad REZAIEE-PAJAND, Mohammad MOHAMMADI-KHATAMI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 176-189 doi: 10.1007/s11709-018-0486-2

Abstract: Dynamic relaxation method (DRM) is one of the suitable numerical procedures for nonlinear structural analysis. Adding the fictitious inertia and damping forces to the static equation, and turning it to the dynamic system, are the basis of this technique. Proper selection of the DRM artificial factors leads to the better convergence rate and efficient solutions. This study aims to increase the numerical stability, and to decrease the analysis time. To fulfil this objective, the reduction rate of analysis error for consecutive iterations is minimized. Based on this formulation, a new time step is found for the viscous dynamic relaxation. After combining this novel relationship with the other DRM factors, various geometrical nonlinear structures, such as, trusses, frames and shells are analyzed. The obtained results verify the efficiency of authors’ scheme.

Keywords： viscous dynamic relaxation     time step     displacement error     geometric nonlinear analysis    

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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 antibiotic.

Keywords： Antibiotic contamination     Spectral detection     Machine learning    

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Dynamical Fast IP-Routing Lookup Algorithm

Liu Yalin

Strategic Study of CAE 2002, Volume 4, Issue 7,   Pages 60-68

Abstract:

This paper proposes a dynamical fast IP-routing lookup algorithm (DFR).

Keywords： prefix expansion     dynamical fast IP-routing lookup algorithm (DFR)     route     route lookup    

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Title Author Date Type Operation

Sparse fast Clifford Fourier transform

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Journal Article

Asystematic review of structured sparse learning

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Preliminary design of an SCO conversion system applied to the sodium cooled fast reactor

Journal Article

Uncertainty propagation analysis by an extended sparse grid technique

X. Y. JIA, C. JIANG, C. M. FU, B. Y. NI, C. S. WANG, M. H. PING

Journal Article

Laplacian sparse dictionary learning for image classification based on sparse representation

Fang LI, Jia SHENG, San-yuan ZHANG

Journal Article

The Research and Implementation of EAP - FAST Protocol in Public Wireless Local Area Network

Cao Ping,Pei Wenjiang

Journal Article

Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article

“Fast Track” nasogastric decompression of rectal cancer surgery

Ka Li, Zongguang Zhou, Zengrong Chen, Yi Zhang, Cun Wang

Journal Article

Investigation of vortical flows over oscillating body using fast Lagrangian vortex method

Baoshan ZHU ,

Journal Article

Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Journal Article

Robust object tracking with RGBD-based sparse learning

Zi-ang MA, Zhi-yu XIANG

Journal Article

A fast and accurate dynamic relaxation scheme

Mohammad REZAIEE-PAJAND, Mohammad MOHAMMADI-KHATAMI

Journal Article

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

Journal Article

Dynamical Fast IP-Routing Lookup Algorithm

Liu Yalin

Journal Article