Resource Type

Journal Article 192

Year

2023 13

2022 11

2021 11

2020 8

2019 8

2018 15

2017 17

2016 7

2015 7

2014 10

2013 11

2012 7

2011 4

2010 3

2009 10

2008 13

2007 13

2006 7

2005 2

2004 3

open ︾

Keywords

frequency 9

Deep learning 3

natural frequency 3

Algebraic Method (AGM) 2

Compressed sensing 2

Image segmentation 2

Segmentation 2

dynamics 2

finite element method 2

frequency response 2

ALK fusion 1

FAK6/7 1

k-nearest neighbor algorithm (k-NN) 1

H∞ control 1

AC excited 1

AF (atrial fibrillation) 1

Acoustic localization 1

Active surface wave 1

Agent simulation 1

open ︾

Search scope:

排序： Display mode:

A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum Article

Zhaohui Zeng, Weihua Gui, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun

Engineering 2021, Volume 7, Issue 9,   Pages 1282-1292 doi: 10.1016/j.eng.2020.11.012

Abstract: In this paper, the frequency segmentation of cell voltage is used as the basis for designing filtersUltimately, a cell condition-sensitive frequency segmentation method is given.The proposed frequency segmentation method divides the effective frequency band into the [0, 0.001] Hzband of low-frequency signals and the [0.001, 0.050] Hz band of low-frequency noise, and subdividesThe proposed frequency segmentation method is more sensitive to cell condition changes and can obtain

Keywords： Sub-band instantaneous energy spectrum     Cell condition-sensitive frequency band     Frequency segmentation    

HTML PDF Collect

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutionalThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

HTML PDF Collect

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: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsThe proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speedfusion module that extracts crack features across pixels is designed to improve the edges of crack segmentationFour classic semantic segmentation algorithms (fully convolutional network, pyramid scene parsing networkThe LC-DeepLab can achieve a real-time segmentation of 416 × 416 × 3 defect images with 46.98 f/s and

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

HTML PDF Collect

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

HTML PDF Collect

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: this paper, a large-scale underwater crack examination method is proposed based on image stitching and segmentationthan Fully convolutional networks (FCN), proving that GCN has great potential of application in image segmentation

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

HTML PDF Collect

A frequency error estimation for isogeometric analysis of Kirchhoff–Love cylindrical shells

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0006-x

Abstract: A frequency error estimation is presented for the isogeometric free vibration analysis of Kirchhoff–LoveBy analyzing the discrete isogeometric equations with the aid of harmonic wave assumption, the frequencyIn particular, the governing relationship of the continuum frequency for Kirchhoff–Love cylindrical shellsis naturally embedded into the frequency error measures without the need of explicit frequency expressionsNumerical results not only thoroughly verify the theoretical convergence rates of frequency solutions

Keywords： isogeometric analysis     Kirchhoff–Love cylindrical shell     free vibration     frequency error     convergence    

HTML PDF Collect

Vascular segmentation of neuroimages based on a prior shape and local statistics Research Articles

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1099-1108 doi: 10.1631/FITEE.1800129

Abstract: However, most of the vessel segmentation techniques ignore the existence of the isolated and redundantpoints in the segmentation results.In this study, we propose a vascular segmentation method based on a prior shape and local statistics.

Keywords： Vesselness filter     Neighborhood     Blood-vessel segmentation     Outlier    

HTML PDF Collect

Calculation of collision frequency function for aerosol particles in free molecule regime in presence

Xiaowei LUO, Yannick BENICHOU, Suyuan YU

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 506-510 doi: 10.1007/s11708-013-0275-5

Abstract: The collision frequency function for aerosol particles has already been calculated for the free moleculeforce, electric force and molecular forces, created by particles themselves, recalculated the collision frequencyAttractive forces increase naturally the collision frequency, while repulsive forces decrease it.

Keywords： aerosol particles     collision frequency function     coagulation    

HTML PDF Collect

Fuel variability effect on flickering frequency of diffusion flames

Jizhao LI, Yang ZHANG

Frontiers in Energy 2009, Volume 3, Issue 2,   Pages 134-140 doi: 10.1007/s11708-009-0034-9

Abstract: The intent of this study is to investigate the fuel variability on the flickering frequency of diffusionIt was found that the low frequency oscillation of flow and flame structures depended only weakly onWhen a mixture of methane/propane at a ratio of 1:1 was used the peak flickering frequency was aroundMechanisms thought to produce changes in the dynamic response and frequency harmonics were discussed.

Keywords： fuel variability     flickering frequency     diffusion flames     dynamics of combustion    

HTML PDF Collect

Capacity limitation of nuclear units in grid based on analysis of frequency regulation

Yiping DAI, Pan JIANG, Lin GAO, Weimin KAN, Xiaoqing XIAO, Ge JIN

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 148-154 doi: 10.1007/s11708-012-0174-1

Abstract: Based on the analysis of frequency regulation, mathematic models for nuclear units in the grid are establishedThe relationship between different styles of frequency regulation and the allowable capacity of the nuclear

Keywords： nuclear units capacity     overspeed     primary frequency control (PFC)     second frequency control (SFC)    

HTML PDF Collect

Oscillation frequency of simplified arterial tubes

Hui AN, Fan HE, Lingxia XING, Xiaoyang LI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3,   Pages 300-304 doi: 10.1007/s11465-009-0038-5

Abstract: To construct the spatial kinetic equation of an arterial tube and obtain its radial natural frequencyThe results show that the first-order frequency is 15.8 Hz and the obtained exact analytical solutions

Keywords： spatial kinematics     natural frequency     finite element method    

HTML PDF Collect

Interactive image segmentation with a regression based ensemble learning paradigm Article

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 1002-1020 doi: 10.1631/FITEE.1601401

Abstract: To achieve fine segmentation of complex natural images, people often resort to an interactive segmentationHowever, when the foreground and background share some similar areas in color, the fine segmentationThis paper presents a novel interactive image segmentation method via a regression-based ensemble modeland semi-supervised learning is proposed to assist the training of MARS and TPSR by using the region segmentationFinally, the GraphCut is introduced and combined with the SVR ensemble results to achieve image segmentation

Keywords： Interactive image segmentation     Multivariate adaptive regression splines (MARS)     Ensemble learning     Thin-plate    

HTML PDF Collect

Parameter identification of interconnected power system frequency after trip-out of high voltage transmission

Xuzhan ZHOU,Shanshan LIU,Mingkun WANG,Yiping DAI,Yaohua TANG

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 386-393 doi: 10.1007/s11708-014-0323-9

Abstract: Accurate modeling and parameters of high voltage (HV) grid are critical for stability research of system frequencyIn this paper, simulation modeling of the system frequency was conducted of an interconnected power system

Keywords： high voltage (HV) grid     frequency stability parameter identification     primary frequency regulation (PFR    

HTML PDF Collect

Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 146-149 doi: 10.1007/s11465-013-0260-z

Abstract:

To predict more precisely the frequency of force-balanced micro accelerometer with different biasvoltages, the effects of bias voltages on error sensitivity of frequency is studied.The resonance frequency of accelerometer under closed loop control is derived according to its operationsensitivity with designed parameters of structure, circuit and process error can be used to predict the frequency

Keywords： Micro-Electro-Mechanical Systems (MEMS)     micro accelerometer     force-balanced micro accelerometer     frequency    

HTML PDF Collect

Potential unreliability of ALK variant allele frequency in the efficacy prediction of targeted therapy

Frontiers of Medicine 2023, Volume 17, Issue 3,   Pages 493-502 doi: 10.1007/s11684-022-0946-x

Abstract: Anaplastic lymphoma kinase (ALK) is the most common fusion gene involved in non-small cell lung cancer (NSCLC), and remarkable response has been achieved with the use of ALK tyrosine kinase inhibitors (ALK-TKIs). However, the clinical efficacy is highly variable. Pre-existing intratumoral heterogeneity (ITH) has been proven to contribute to the poor treatment response and the resistance to targeted therapies. In this work, we investigated whether the variant allele frequencies (VAFs) of ALK fusions can help assess ITH and predict targeted therapy efficacy. Through the application of next-generation sequencing (NGS), 7.2% (326/4548) of patients were detected to be ALK positive. On the basis of the adjusted VAF (adjVAF, VAF normalization for tumor purity) of four different threshold values (adjVAF < 50%, 40%, 30%, or 20%), the association of ALK subclonality with crizotinib efficacy was assessed. Nonetheless, no statistical association was observed between median progression-free survival (PFS) and ALK subclonality assessed by adjVAF, and a poor correlation of adjVAF with PFS was found among the 85 patients who received first-line crizotinib. Results suggest that the ALK VAF determined by hybrid capture-based NGS is probably unreliable for ITH assessment and targeted therapy efficacy prediction in NSCLC.

Keywords： next-generation sequencing     fluorescence in situ hybridization     immunohistochemistry     variant allele frequency    

HTML PDF Collect

Title Author Date Type Operation

A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum

Zhaohui Zeng, Weihua Gui, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun

Journal Article

Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Journal Article

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

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Journal Article

A frequency error estimation for isogeometric analysis of Kirchhoff–Love cylindrical shells

Journal Article

Vascular segmentation of neuroimages based on a prior shape and local statistics

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Journal Article

Calculation of collision frequency function for aerosol particles in free molecule regime in presence

Xiaowei LUO, Yannick BENICHOU, Suyuan YU

Journal Article

Fuel variability effect on flickering frequency of diffusion flames

Jizhao LI, Yang ZHANG

Journal Article

Capacity limitation of nuclear units in grid based on analysis of frequency regulation

Yiping DAI, Pan JIANG, Lin GAO, Weimin KAN, Xiaoqing XIAO, Ge JIN

Journal Article

Oscillation frequency of simplified arterial tubes

Hui AN, Fan HE, Lingxia XING, Xiaoyang LI

Journal Article

Interactive image segmentation with a regression based ensemble learning paradigm

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Journal Article

Parameter identification of interconnected power system frequency after trip-out of high voltage transmission

Xuzhan ZHOU,Shanshan LIU,Mingkun WANG,Yiping DAI,Yaohua TANG

Journal Article

Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

Journal Article

Potential unreliability of ALK variant allele frequency in the efficacy prediction of targeted therapy

Journal Article