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1,112 results on '"Wang, Honghai"'

24. Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network

Author

Li, Sheng, Jin, Liang, Jiang, Jinpeng, Wang, Honghai, Nan, Qiuming, and Sun, Lizhi

Subjects
Data Management and Data Science, Civil Engineering, Information and Computing Sciences, Engineering, Clinical Research, Railroads, Technology, feature identification, track fastener looseness, distributed vibration, convolutional autoencoder network, pseudo-Hilbert scan, ultra-weak fiber optic Bragg grating, Analytical Chemistry, Environmental Science and Management, Ecology, Distributed Computing, Electrical and Electronic Engineering, Electrical engineering, Electronics, sensors and digital hardware, Environmental management, Distributed computing and systems software
Abstract

Changes in the geological environment and track wear, and deterioration of train bogies may lead to the looseness of subway fasteners. Identifying loose fasteners randomly distributed along the subway line is of great significance to avoid train derailment. This paper presents a convolutional autoencoder (CAE) network-based method for identifying fastener loosening features from the distributed vibration responses of track beds detected by an ultra-weak fiber Bragg grating sensing array. For an actual subway tunnel monitoring system, a field experiment used to collect the samples of fastener looseness was designed and implemented, where a crowbar was used to loosen or tighten three pairs of fasteners symmetrical on both sides of the track within the common track bed area and the moving load of a rail inspection vehicle was employed to generate 12 groups of distributed vibration signals of the track bed. The original vibration signals obtained from the on-site test were converted into two-dimensional images through the pseudo-Hilbert scan to facilitate the proposed two-stage CAE network with acceptable capabilities in feature extraction and recognition. The performance of the proposed methodology was quantified by accuracy, precision, recall, and F1-score, and displayed intuitively by t-distributed stochastic neighbor embedding (t-SNE). The raster scan and the Hilbert scan were selected to compare with the pseudo-Hilbert scan under a similar CAE network architecture. The identification performance results represented by the four quantification indicators (accuracy, precision, recall, and F1-score) based on the scan strategy in this paper were at least 23.8%, 9.5%, 20.0%, and 21.1% higher than those of the two common scan methods. As well as that, the clustering visualization by t-SNE further verified that the proposed approach had a stronger ability in distinguishing the feature of fastener looseness.

Published
2022

25. Leptin Receptor (LEPR) promotes proliferation, migration, and invasion and inhibits apoptosis in hepatocellular carcinoma by regulating ANXA7

Author

Huang, He, Zhang, Jun, Ling, Fei, Huang, Yuhong, Yang, Min, Zhang, Yao, Wei, Yuanyi, Zhang, Qingqing, Wang, Honghai, Song, Lin, Wu, Ying, Yang, Jiayu, and Tang, Jianwu

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Liver Disease, Cancer, Digestive Diseases, Rare Diseases, Liver Cancer, 2.1 Biological and endogenous factors, Aetiology, Biochemistry and Cell Biology, Biological Sciences, Obesity, Ovarian Cancer, Underpinning research, 1.1 Normal biological development and functioning, Apoptosis, Butadienes, Cell Line, Tumor, Cell Proliferation, Cyclin D1, Enzyme Activation, Enzyme Inhibitors, Extracellular Signal-Regulated MAP Kinases, Female, Flavonoids, Humans, Janus Kinase 2, Leptin, MAP Kinase Signaling System, Mitogen-Activated Protein Kinase Kinases, Myeloid Cell Leukemia Sequence 1 Protein, Nitriles, Ovarian Neoplasms, Phosphatidylinositol 3-Kinases, Phosphoinositide-3 Kinase Inhibitors, Phosphorylation, Protein Kinase Inhibitors, Proto-Oncogene Proteins c-akt, Proto-Oncogene Proteins c-bcl-2, Tyrphostins, LEPR, ANXA7, apoptosis, cell proliferation, cell migration, interacting proteins, hepatocellular carcinoma, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundLeptin Receptor (LEPR) has been suggested to have several roles in cancer metastasis. However, the role of LEPR and its underlying mechanisms in lymphatic metastasis of hepatocarcinoma have not yet been studied.MethodsWe performed bioinformatics analysis, qRT-PCR, western blotting, immunohistochemistry, immunofluorescence, enzyme-linked immunosorbent, coimmunoprecipitation assays and a series of functional assays to investigate the roles of LEPR in hepatocellular carcinoma.ResultsWe discovered that LEPR was highly expressed in liver cancer tissues, and the expression of LEPR in Hca-F cells was higher than that in Hca-P cells. Furthermore, LEPR promotes the proliferation, migration and invasion and inhibits the apoptosis of hepatocarcinoma lymphatic metastatic cells. Further studies indicated that LEPR interacts with ANXA7. Mechanistically, LEPR regulated ERK1/2 and JAK2/STAT3 expression via ANXA7 regulation.ConclusionsThese findings unveiled a previously unappreciated role of LEPR in the regulation of lymphatic metastatic hepatocellular carcinoma, assigning ANXA7-LEPR as a promising therapeutic target for liver cancer treatments.

Published
2021

42. Combining SDAE Network with Improved DTW Algorithm for Similarity Measure of Ultra-Weak FBG Vibration Responses in Underground Structures.

Author

Li, Sheng, Zuo, Xiang, Li, Zhengying, Wang, Honghai, and Sun, Lizhi

Subjects
autoencoder, distributed vibration, feature extraction, similarity measure, subway tunnel, ultra-weak FBG, Analytical Chemistry, Distributed Computing, Electrical and Electronic Engineering, Environmental Science and Management, Ecology
Abstract

Quantifying structural status and locating structural anomalies are critical to tracking and safeguarding the safety of long-distance underground structures. Given the dynamic and distributed monitoring capabilities of an ultra-weak fiber Bragg grating (FBG) array, this paper proposes a method combining the stacked denoising autoencoder (SDAE) network and the improved dynamic time wrapping (DTW) algorithm to quantify the similarity of vibration responses. To obtain the dimensionality reduction features that were conducive to distance measurement, the silhouette coefficient was adopted to evaluate the training efficacy of the SDAE network under different hyperparameter settings. To measure the distance based on the improved DTW algorithm, the one nearest neighbor (1-NN) classifier was utilized to search the best constraint bandwidth. Moreover, the study proposed that the performance of different distance metrics used to quantify similarity can be evaluated through the 1-NN classifier. Based on two one-dimensional time-series datasets from the University of California, Riverside (UCR) archives, the detailed implementation process for similarity measure was illustrated. In terms of feature extraction and distance measure of UCR datasets, the proposed integrated approach of similarity measure showed improved performance over other existing algorithms. Finally, the field-vibration responses of the track bed in the subway detected by the ultra-weak FBG array were collected to determine the similarity characteristics of structural vibration among different monitoring zones. The quantitative results indicated that the proposed method can effectively quantify and distinguish the vibration similarity related to the physical location of structures.

Published
2020

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