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Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in a southern Chinese city

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types

Keywords： Sewer pipe defects     Defect diagnosing     Image recognition     Multi-features extraction     Support vector machine    

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Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: In this paper, 2D line-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slitThe defect band, namely, the formed resonance band of line-defect PCs enables the incident acoustic waveThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigatedAll the numerical and experimental results indicate that line-defect PCs can be well used for extracting

Keywords： phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

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Research progress of defect-engineered UiO-66(Zr) MOFs for photocatalytic hydrogen production

Frontiers in Energy 2021, Volume 15, Issue 3,   Pages 656-666 doi: 10.1007/s11708-021-0765-9

Abstract: In recent years, defect-engineered Zr-based UiO-66 metal-organic frameworks (UiO-66(Zr) metal-organicIt is extremely challenging to introduce defect sites in the synthesis of MOFs to regulate the physicochemicalrecent research results of synthesis methods, characterization technologies, and application fields of defect-engineered

Keywords： defect engineering     metal-organic frameworks     UiO-66     photocatalysis    

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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: The magnetic flux (MF) examination shows great potential to detect the corrosion defect, or loss of metallicAn LMA defect in steel cables can be measured accurately when it is longer than a certain length.In this study, the effect of defect length on the MF examination for corrosion detection of bridge cablesAn original analytical model to quantify the influence of defect length is proposed based on the equivalentThen, MF examination experiments are performed on a series of cable models with different defect lengths

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

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Single-electromagnet levitation for density measurement and defect detection

Yuhan JIA, Peng ZHAO, Jun XIE, Xuechun ZHANG, Hongwei ZHOU, Jianzhong FU

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 186-195 doi: 10.1007/s11465-020-0608-0

Abstract: single-electromagnet levitation device has a large measuring range and can realize accurate density measurement and defect

Keywords： single-electromagnet     electromagnetic levitation     density measurement     defect detection    

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Statistical analysis of recombination properties of the boron-oxygen defect in p-type Czochralski silicon

Nitin NAMPALLI,Tsun Hang FUNG,Stuart WENHAM,Brett HALLAM,Malcolm ABBOTT

Frontiers in Energy 2017, Volume 11, Issue 1,   Pages 4-22 doi: 10.1007/s11708-016-0442-6

Abstract: lifetime spectroscopy to the study of carrier-induced degradation ascribed to the boron-oxygen (BO) defectresults demonstrate that the capture cross section ratio associated with the donor level of the BO defectFor the data set studied here, it was also found that illumination used to form the defect caused minoralone and is likely related to the acceptor level of the BO defect.While specific to the BO defect, this study has implications for the use of lifetime spectroscopy to

Keywords： Czochralski silicon     boron-oxygen defect     injection dependent lifetime spectroscopy     goodness-of-fit     repeatability    

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Study on Defect Detection Technology for Bridge Deck Pavements

Guo Chengchao,Xu Pengfei and Cui Can

Strategic Study of CAE 2017, Volume 19, Issue 6,   Pages 38-43 doi: 10.15302/J-SSCAE-2017.06.006

Abstract:

The bridge deck is the most vulnerable part of a bridge during its entire life cycle. The deck pavement is often adversely affected by improper construction methods, the aging of concrete, and corrosion of steel bars. This then has an adverse effect on the structure and overall performance of the bridge. Therefore, it is necessary to determined defects related to the bridge deck and to conduct relevant quality evaluations. This article describes the mechanism, application methods, and testing equipment of four mainstream nondestructive testing technologies used worldwide: ground penetrating radar, half-cell potential, impact echo, and infrared thermography. The use of one or more of these methods can accurately assess the deterioration of the bridge deck and make a rapid, nondestructive evaluation, which provides technical support for rapid detection and accurate evaluation of the deck situation, leading to reduced structural defects and an extended bridge life cycle.

Keywords： bridge deck pavement     defect     nondestructive testing    

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Effect of cavity defect on the triaxial mechanical properties of high-performance concrete

Yanbin ZHANG; Zhe WANG; Mingyu FENG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 600-614 doi: 10.1007/s11709-022-0821-5

Abstract: The stress concentration of pipe structure or cavity defect has a great effect on the mechanical properties

Keywords： high-performance concrete     cavity     conventional triaxial compression     pressurized liquid     modified power-law criterion    

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Construction of defect-containing UiO-66/MoSe heterojunctions with superior photocatalytic performance

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 4,   Pages 449-459 doi: 10.1007/s11705-022-2226-3

Abstract: Metal–organic frameworks are recognized as promising multifunctional materials, especially metal–organic framework-based photocatalysts, which are considered to be ideal photocatalytic materials. Herein, a new type of UiO-66/MoSe2 composite was prepared using the solvothermal method. The optimum composite was selected by adjusting the mass ratio of UiO-66 and MoSe2. X-ray diffraction analysis showed that the mass ratio influenced the crystal plane exposure rate of the composite, which may have affected its photocatalytic performance. The composite is composed of ultra-thin flower-like MoSe2 that wrapped around cubic UiO-66, a structure that increases the abundance of active sites for reactions and is more conducive to the separation of carriers. The photocatalytic properties of the composite were evaluated by measuring the degradation rate of Rhodamine B and the catalyst’s ability to reduce Cr(VI)-containing wastewater under visible light irradiation. Rhodamine B was decolorized completely in 120 min, and most of the Cr(VI) was reduced within 150 min. The photochemical mechanism of the complex was studied in detail. The existence of Mo6+ and oxygen vacancies, in addition to the Z-type heterojunction promote the separation of electrons and holes, which enhances the photocatalytic effect.

Keywords： UiO-66/MoSe2     photocatalysis     dye-containing wastewater     heavy metal wastewater     oxygen vacancies    

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Afeature selection approach based on a similarity measure for software defect prediction Article

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1744-1753 doi: 10.1631/FITEE.1601322

Abstract: Software defect prediction is aimed to find potential defects based on historical data and software featuresthe class, we present a feature selection approach based on a similarity measure (SM) for software defect

Keywords： Software defect prediction     Feature selection     Similarity measure     Feature weights     Feature ranking list    

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Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 224-227 doi: 10.1007/s11465-009-0017-x

Abstract: An algorithm is presented for detecting transverse corner cracks at a steel plate surface using wavelet transform. According to characteristics of transverse corner crack images, the wavelet transform is used for the multi-scale analysis of detecting the image edges and disintegrating the image into four directions at the same time. The proper threshold value is chosen to segment the image into vertical components to obtain the final detection result. The experiment shows that transverse corner cracks of steel plates can be more effectively extracted by the proposed method than the other two common methods.

Keywords： transverse corner cracks     defect detection     multi-scales wavelet analysis    

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A software defect prediction method with metric compensation based on feature selection and transfer Research Article

Jinfu CHEN, Xiaoli WANG, Saihua CAI, Jiaping XU, Jingyi CHEN, Haibo CHEN,caisaih@ujs.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5,   Pages 715-731 doi: 10.1631/FITEE.2100468

Abstract: Cross-project software solves the problem of insufficient training data for traditional , and overcomes the challenge of applying models learned from multiple different source projects to target project. At the same time, two new problems emerge: (1) too many irrelevant and redundant features in the model training process will affect the training efficiency and thus decrease the prediction accuracy of the model; (2) the distribution of metric values will vary greatly from project to project due to the development environment and other factors, resulting in lower prediction accuracy when the model achieves cross-project prediction. In the proposed method, the Pearson method is introduced to address data redundancy, and the based technique is used to address the problem of large differences in data distribution between the source project and target project. In this paper, we propose a software method with based on and . The experimental results show that the model constructed with this method achieves better results on area under the receiver operating characteristic curve (AUC) value and F1-measure metric.

Keywords： Defect prediction     Feature selection     Transfer learning     Metric compensation    

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The role of ions in plasma catalytic carbon nanotube growth: A review

Erik C. Neyts

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 2,   Pages 154-162 doi: 10.1007/s11705-015-1515-5

Abstract: While it is well-known that the plasma-enhanced catalytic chemical vapor deposition (PECVD) of carbon nanotubes (CNTs) offers a number of advantages over thermal CVD, the influence of the various individual contributing factors is not well understood. Especially the role of ions is unclear, since ions in plasmas are generally associated with sputtering rather than with growing a material. Even so, various studies have demonstrated the beneficial effects of ion bombardment during the growth of CNTs. This review looks at the role of the ions in plasma-enhanced CNT growth as deduced from both experimental and simulation studies. Specific attention is paid to the beneficial effects of ion bombardment. Based on the available literature, it can be concluded that ions can be either beneficial or detrimental for carbon nanotube growth, depending on the exact conditions and the control over the growth process.

Keywords： plasma-enhanced chemical vapor deposition (PECVD)     carbon nanotube (CNT)     ion bombardment     defect healing    

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Time Series Diagnosing Analysis for the Fatigue Crack of Large-scale and Heavyburden Supporting Shafts

Li Xuejun,Bin Guangfu,Wang Yuqing

Strategic Study of CAE 2006, Volume 8, Issue 4,   Pages 50-53

Abstract:

Because of the unobserved sudden fatigue failure of the large-scale and heavyburden supporting shafts, the normal product line is affected seriously. Based on analyzing the relation ship between this type of supporting shafts construction characteristics and vibration signal characteristic, the model of the vibration signal is established by the method of time series.Residual (σa2) and normal residue square sum (NRSS) are adopted to identify the fault state, and the degree of supporting shafts' fatigue crack is diagnosed effectively.The result of experiment shows that the method of time series using σa2 and NRSS as the index to diagnose the fatigue crack of large-scale and heavyburden supporting shafts is more sensitive and effective than the normal method using time-frequency domain of amplitude, and has very strong practicability.

Keywords： large-scale and heavyburden machine     supporting shaft     concealment part     fatigue crack     time series    

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Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 29-37 doi: 10.1007/s11465-012-0314-7

Abstract: excitation with vibration analysis is presented for detecting missing solder bumps, which is a typical defectA sensitivity coefficient is proposed to select the sensitive resonance frequency order for defect detection

Keywords： flip chip     defect detection     ultrasonic excitation     vibration analysis    

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Title Author Date Type Operation

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in a southern Chinese city

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

Research progress of defect-engineered UiO-66(Zr) MOFs for photocatalytic hydrogen production

Journal Article

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

Qiwei ZHANG, Rongya XIN

Journal Article

Single-electromagnet levitation for density measurement and defect detection

Yuhan JIA, Peng ZHAO, Jun XIE, Xuechun ZHANG, Hongwei ZHOU, Jianzhong FU

Journal Article

Statistical analysis of recombination properties of the boron-oxygen defect in p-type Czochralski silicon

Nitin NAMPALLI,Tsun Hang FUNG,Stuart WENHAM,Brett HALLAM,Malcolm ABBOTT

Journal Article

Study on Defect Detection Technology for Bridge Deck Pavements

Guo Chengchao,Xu Pengfei and Cui Can

Journal Article

Effect of cavity defect on the triaxial mechanical properties of high-performance concrete

Yanbin ZHANG; Zhe WANG; Mingyu FENG

Journal Article

Construction of defect-containing UiO-66/MoSe heterojunctions with superior photocatalytic performance

Journal Article

Afeature selection approach based on a similarity measure for software defect prediction

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Journal Article

Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Journal Article

A software defect prediction method with metric compensation based on feature selection and transfer

Jinfu CHEN, Xiaoli WANG, Saihua CAI, Jiaping XU, Jingyi CHEN, Haibo CHEN,caisaih@ujs.edu.cn

Journal Article

The role of ions in plasma catalytic carbon nanotube growth: A review

Erik C. Neyts

Journal Article

Time Series Diagnosing Analysis for the Fatigue Crack of Large-scale and Heavyburden Supporting Shafts

Li Xuejun,Bin Guangfu,Wang Yuqing

Journal Article

Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Journal Article