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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:

Edges as the main characterization of image vision have been throught as the main content in obtainingdetects information using multiscale character, so it is taken as the excellent tool to detect the edgesThis paper analyzes the basic theory using two dimensions wavelet to detect image edges on the basis

Keywords： wavelet transform     multi-scale     edges detection    

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The Immense Impact of Reverse Edges on Large Hierarchical Networks

Haosen Cao,Bin-Bin Hu,Xiaoyu Mo,Duxin Chen,Jianxi Gao,Ye Yuan,Guanrong Chen,Tamás Vicsek,Xiaohong Guan,Hai-Tao Zhang,

Engineering doi: 10.1016/j.eng.2023.06.011

Abstract: The structure of a large directed hierarchical network is often strongly influenced by reverse edgesThis study reveals that, for most large-scale real hierarchical networks, the majority of the reverse edgesthe entire network; the synchronization process is influenced only by a small part of these reverse edgesThe overwhelming majority of active reverse edges turn out to have some kind of “bunching” effect onThis finding refines the current understanding of the role of reverse edges in many natural, social,

Keywords： Synchronizability     Large hierarchical networks     Reverse edges     Information flows     Complex networks    

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Fundamental buckling of circular plates with elastically restrained edges and resting on concentric rigid

Lokavarapu Bhaskara Rao, Chellapilla Kameswara Rao

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 291-297 doi: 10.1007/s11465-013-0255-9

Abstract:

This work presents the existence of buckling mode switching with respect to the radius of concentric rigid ring support. The buckling mode may not be axisymmetric as previously assumed. In general, the plate may buckle in an axisymmetric mode but when the radius of the ring support becomes small, the plate may buckle in an asymmetric mode. The optimum radius of the concentric rigid ring support for maximum buckling load is also determined. Introducing internal rigid ring support, when placed at an optimal position increases the elastic buckling load capacity by 149.39 percent. The numerical results obtained are in good agreement with the previously published data.

Keywords： buckling     circular plate     elastically restrained edge     rigid ring support     mode switching    

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

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Advances in airborne microorganisms detection using biosensors: A critical review

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8

Abstract: In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be

Keywords： Biosensor     Airborne microorganisms     Microbiological detection technology    

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Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 448-464 doi: 10.1007/s11705-017-1611-9

Abstract: Development of novel detection methods for perchlorate with the potential for field use has been an urgentperchlorate in water and other media with an emphasis on the development of SERS substrates for perchlorate detection

Keywords： perchlorate     SERS     detection     substrate     modification     nanostructure    

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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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Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 44-55

Abstract: Pulse radiation detection has found its various applications in scientific researches, including nuclearThese diagnostic techniques and their relative detection systems, the design principle, the parameters

Keywords： fission reaction     fusion reaction     pulse radiation detection     detecting system     neutron detection     gamma-raydetection    

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paperFirst, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of

Keywords： thermal expansion     image measurement     edge detection     image calibration    

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Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading.

Keywords： Computer and machine vision     convolution neural network     deep learning     defective fruit detection     fruit    

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Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 137-141 doi: 10.1007/s11709-009-0028-z

Abstract: This paper introduces a non-classical nonlinear acoustic theory for microcrack detection in materialsconcentrates on the experimental and numerical verification of the effectivity of contact nonlinear acoustic detection

Keywords： microcrack detection     contact nonlinearity     numerical analysis    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: CNN can extract the structural state information from the vibration signals and classify them; 2) the detection

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Damage detection in beam-like structures using static shear energy redistribution

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1552-1564 doi: 10.1007/s11709-022-0903-4

Abstract: Another advantage of the proposed approach is that damage detection can be performed without establishing

Keywords： damage detection     beam structure     strain energy     static displacement variation     energy damage index    

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: The proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speedshallow feature fusion module that extracts crack features across pixels is designed to improve the edges

Keywords： tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

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The defect-length effect in corrosion detection with magnetic method for bridge cables

Qiwei ZHANG, Rongya XIN

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 662-671 doi: 10.1007/s11709-018-0512-4

Abstract: In this study, the effect of defect length on the MF examination for corrosion detection of bridge cables

Keywords： bridge cable     corrosion detection     defect length     MF examination     quantitative evaluation    

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Title Author Date Type Operation

The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Journal Article

The Immense Impact of Reverse Edges on Large Hierarchical Networks

Haosen Cao,Bin-Bin Hu,Xiaoyu Mo,Duxin Chen,Jianxi Gao,Ye Yuan,Guanrong Chen,Tamás Vicsek,Xiaohong Guan,Hai-Tao Zhang,

Journal Article

Fundamental buckling of circular plates with elastically restrained edges and resting on concentric rigid

Lokavarapu Bhaskara Rao, Chellapilla Kameswara Rao

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Advances in airborne microorganisms detection using biosensors: A critical review

Journal Article

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Journal Article

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

Journal Article

Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

Machine vision-based automatic fruit quality detection and grading

Journal Article

Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Damage detection in beam-like structures using static shear energy redistribution

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article

The defect-length effect in corrosion detection with magnetic method for bridge cables

Qiwei ZHANG, Rongya XIN

Journal Article