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Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 191-204 doi: 10.1631/FITEE.1400305

Abstract: Condition monitoring ensures the safety of freight railroad operations. With the development of machine vision technology, visual inspection has become a principal means of condition monitoring. The brake shoe key (BSK) is an important component in the brake system, and its absence will lead to serious accidents. This paper presents a novel method for automated visual inspection of the BSK condition in freight cars. BSK images are first acquired by hardware devices. The subsequent inspection process is divided into three stages: first, the region-of-interest (ROI) is segmented from the source image by an improved spatial pyramid matching scheme based on multi-scale census transform (MSCT). To localize the BSK in the ROI, census transform (CT) on gradient images is developed in the second stage. Then gradient encoding histogram (GEH) features and linear support vector machines (SVMs) are used to generate a BSK localization classifier. In the last stage, a condition classifier is trained by SVM, but the features are extracted from gray images. Finally, the ROI, BSK localization, and condition classifiers are cascaded to realize a completely automated inspection system. Experimental results show that the system achieves a correct inspection rate of 99.2% and a speed of 5 frames/s, which represents a good real-time performance and high recognition accuracy.

Keywords： Condition monitoring     Feature expression     Brake shoe key     Machine vision    

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph featureeffectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 817-835 doi: 10.1007/s11708-020-0709-9

Abstract: dynamic operating data set with steep slope signals is created based on physics equations and then a featuresimilarity-based learning model with an encoder and a decoder is built and trained to achieve feature

Keywords： gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

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Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsThe weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchyThe measured average sampling surface roughness of the most crucial feature of the bracket in the original

Keywords： selective laser melting (SLM)     build orientation determination     multi-feature mechanical part (MFMP)    

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Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 38-42

Abstract: It can extract nonlinear feature components of samples.However, feature extraction for one sample requires that kernel functions between training samples andSo, the size of training sample set affects the efficiency of feature extraction.It is supposed that in feature space the eigenvectors may be linearly expressed by a part of trainingIKPCA extracts feature components of one sample efficiently, only based on kernel functions between nodes

Keywords： KPCA(Kernel PCA)     IKPCA(Improved KPCA)     feature extraction     feature space    

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composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 2,   Pages 171-179 doi: 10.15302/J-FASE-2016095

Abstract: In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish

Keywords： self-organizing feature maps     visualization     processed animal proteins (PAPs)     amino acid    

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Blockage of receptor-interacting protein 2 expression by small interfering RNA in murine macrophages

LIU Hongchun, CAO Zhongwei, JIN Jianjun, WANG Jiyao

Frontiers of Medicine 2008, Volume 2, Issue 2,   Pages 166-170 doi: 10.1007/s11684-008-0030-1

Abstract: This study aims to demonstrate that blocking the receptor-interacting protein2 (Rip2) expression canRip2 small interfering RNA (siRNA) plasmids were constructed and transfected into macrophage and Rip2 expressionRip2 siRNA plasmid could block the mRNA and protein expression of Rip2 and promote cell proliferationThe HMGB1 expression in the liver decreased to (40.21 ± 11.03) pg/g, and serum TNF-?The results demonstrate that Rip2 siRNA plasmid can block the expression of Rip2, decrease the production
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MSI/LOH and extron expression of the FHIT gene in gastric carcinoma

XIAO Yuping, MAO Lili, HAN Chengbo, LI Jinyi, XU Lei, XIN Yan

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 99-103 doi: 10.1007/s11684-007-0019-1

Abstract: We detected loss of heterozygosity (LOH) and microsatellite instabilities (MSI), as well as extron expressionFour of 10 (40.0%) cases of primary GC showed absent or decreased expression of the FHIT protein as comparedThe findings in this study suggest that LOH and MSI of FHIT gene may induce aberrant extron expression
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Gene expression disparity in giant cell tumor of bone

Xiaohua PAN, Shuhua YANG, Deming XIAO, Yong DAI, Lili REN

Frontiers of Medicine 2009, Volume 3, Issue 1,   Pages 49-56 doi: 10.1007/s11684-009-0012-y

Abstract: The aim of this paper was to study the differential gene expression of giant cell tumor of bone (GCTBThe gene expression disparity between the GCTB samples and normal bony callus was significantly different

Keywords： giant cell tumor of bone     gene     microarray     cDNA    

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Distinct gene expression pattern of mutations coordinated by target repression and promoter hypermethylation

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 627-636 doi: 10.1007/s11684-020-0815-4

Abstract: Here, based on 1741 patients with AML, we report a unique expression pattern associated with RUNX1This expression pattern was coordinated by target repression and promoter hypermethylation.This study revealed the distinct gene expression pattern of RUNX1 mutations and the underlying

Keywords： RUNX1     gene mutation     acute myeloid leukemia     transcriptional repression     DNA methylation    

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Immunohistochemical measurement and expression of Mcl-1 in infertile testes

Raafat Hegazy,Abdelmonem Hegazy,Mustafa Ammar,Emad Salem

Frontiers of Medicine 2015, Volume 9, Issue 3,   Pages 361-367 doi: 10.1007/s11684-015-0395-x

Abstract: This study aimed to investigate the immunohistochemical expression of Mcl-1 in testicular biopsies of

Keywords： spermatogenesis     testis     Mcl-1 expression     immunohistochemical study     infertility    

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Construction of a universal recombinant expression vector that regulates the expression of human lysozyme

Shen LIU, Shengzhe SHANG, Xuezhen YANG, Huihua ZHANG, Dan LU, Ning LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3,   Pages 382-389 doi: 10.15302/J-FASE-2018211

Abstract: A key component in the technology is the construction of an efficient milk expression vector.Here, we established a simple method to construct a milk expression vector, by a combination of homologousThe highest expression level of rhLZ was 0.45 g·L−1, and rhLZ exhibited the sameOur results have provided a simple approach to construct a universal milk expression vector, and demonstratedthat the resulting vector regulates the expression of hLZ in milk.

Keywords： BAC recombinant methods     gene expression     human lysozyme     transgenic mice     milk expression vector    

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Relationship of adrenomedullin expression and microvessel density and prognosis in smooth muscle tumor

JIANG Yuan, TIAN Xuehong, YUAN Jie, JIN Yuemei, TAN Yusong

Frontiers of Medicine 2007, Volume 1, Issue 4,   Pages 398-400 doi: 10.1007/s11684-007-0077-4

Abstract: The aim of this paper was to investigate the relationship between the expression of adrenomedullin (ADMThe expression of ADM was detected using immunohistochemical staining in specimens from 15 normal controlsThere was a positive correlation between the ADM expression and MVD in LE and LES respectively ( = 0.823The expression of ADM in LE was statistically lower than that in LES (<0.05).mitotic figures, the higher levels of the ADM expression and poor prognosis.

Keywords： anticarcinogenic     microvessel density     malignant potency     muscle     uterine leiomyosarcoma    

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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: several unique characteristics: Complex frequency components, low signal-to-noise ratio, and weak fault featureAiming to extract the fault feature of planet gear effectively, we propose a novel feature extractioncollected from the wind turbine gearbox test rig demonstrate that the proposed method is effective at the feature

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

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Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 358-366 doi: 10.1631/FITEE.1400323

Abstract: In this paper, we apply several unsupervised feature learning algorithms (including -means clustering

Keywords： Speech emotion recognition     Unsupervised feature learning     Neural network     Affect computing    

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Title Author Date Type Operation

Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article

Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Journal Article

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

Blockage of receptor-interacting protein 2 expression by small interfering RNA in murine macrophages

LIU Hongchun, CAO Zhongwei, JIN Jianjun, WANG Jiyao

Journal Article

MSI/LOH and extron expression of the FHIT gene in gastric carcinoma

XIAO Yuping, MAO Lili, HAN Chengbo, LI Jinyi, XU Lei, XIN Yan

Journal Article

Gene expression disparity in giant cell tumor of bone

Xiaohua PAN, Shuhua YANG, Deming XIAO, Yong DAI, Lili REN

Journal Article

Distinct gene expression pattern of mutations coordinated by target repression and promoter hypermethylation

Journal Article

Immunohistochemical measurement and expression of Mcl-1 in infertile testes

Raafat Hegazy,Abdelmonem Hegazy,Mustafa Ammar,Emad Salem

Journal Article

Construction of a universal recombinant expression vector that regulates the expression of human lysozyme

Shen LIU, Shengzhe SHANG, Xuezhen YANG, Huihua ZHANG, Dan LU, Ning LI

Journal Article

Relationship of adrenomedullin expression and microvessel density and prognosis in smooth muscle tumor

JIANG Yuan, TIAN Xuehong, YUAN Jie, JIN Yuemei, TAN Yusong

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

Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Journal Article