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De-scattering and edge-enhancement algorithms for underwater image restoration Research Papers

Pan-wang PAN, Fei YUAN, En CHENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 862-871 doi: 10.1631/FITEE.1700744

Abstract: Finally, images are converted to a special transform domain for denoising and enhancing the edge usingthe non-subsampled contourlet transform.

Keywords： Image de-scattering     Edge enhancement     Convolutional neural network     Non-subsampled contourlet transform    

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Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniformfast Fourier transform Research Articles

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1251-1266 doi: 10.1631/FITEE.1900272

Abstract: QRM is corrected by the second-order keystone transform.

Keywords： Coherent integration     Maneuvering target     Parameter estimation     Location rotation transform (LRT)     Non-uniformfast Fourier transform (NuFFT)    

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Non-stationary signal analysis based on general parameterized time--frequency transform and its application

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 292-300 doi: 10.1007/s11465-017-0443-0

Abstract: This article introduces an effective non-stationary signal analysis method based on the general parameterizedtime–frequency transform (GPTFT).The GPTFT is achieved by inserting a rotation operator and a shift operator in the short-time Fourier transform

Keywords： rotary machines     condition monitoring     fault diagnosis     GPTFT     SCI    

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Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 130-141 doi: 10.1007/s11465-014-0298-6

Abstract: For this purpose, the performances of envelope detection with fast Fourier transform (FFT) and continuouswavelet transform (CWT) of vibration signals produced from a bearing with defects on inner race and

Keywords： Fault detection     spline wavelet     continuous wavelet transform     fast Fourier transform    

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A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 883-891 doi: 10.1631/FITEE.1500071

Abstract: Karhunen-Loève transform (KLT) is the optimal transform that minimizes distortion at a given bit allocationAs a KLT matrix usually contains non-integers, integer-KLT design is a classical problem.non-orthonormal integer transform process.The ‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design infor a given non-integer-KLT.

Keywords： Integer transform     Karhunen-Loè     ve transform (KLT)     Integer-KLT     Transform coding     Video coding    

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Thermogravimetric coupled with Fourier transform infrared analysis study on thermal treatment of monopotassium

Yuheng FENG, Xuguang JIANG, Yong CHI, Xiaodong LI, Hongmei ZHU

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 186-192 doi: 10.1007/s11783-011-0322-6

Abstract: residue), considered as a hazardous waste, were studied using a thermogravimetric, coupled with Fourier transform

Keywords： hazardous waste     combustion     pyrolysis     thermogravimetric coupled with Fourier transform infrared analysis    

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Sparse fast Clifford Fourier transform Article

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1131-1141 doi: 10.1631/FITEE.1500452

Abstract: The Clifford Fourier transform (CFT) can be applied to both vector and scalar fields.The sparse fast Fourier transform (sFFT) theory deals with the big data problem by using input data selectively

Keywords： Sparse fast Fourier transform (sFFT)     Clifford Fourier transform (CFT)     Sparse fast Clifford Fouriertransform (SFCFT)     Clifford algebra    

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A new acoustic emission source location technique based on wavelet transform and mode analysis

JIAO Jing-pin, HE Cun-fu, WU Bin, FEI Ren-yuan, WANG Xiu-yan

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 341-345 doi: 10.1007/s11465-006-0006-4

Abstract: Based on the wavelet transform and the theory of modal acoustic emission, a new method is proposed toThe wavelet transform is used to resolve the problem.

Keywords： s propagation     frequency     emission signal     signal propagation     dispersive    

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Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 610-617 doi: 10.1007/s11684-021-0827-8

Abstract: anti-VEGF monoclonal antibody, has significantly improved the clinical outcomes of patients with advanced non-squamous

Keywords： bevacizumab     elderly patient     advanced non-small-cell lung cancer     overall survival     toxicity    

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Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infrared

Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 3,   Pages 386-406 doi: 10.1007/s11705-015-1533-3

Abstract: However, the use of inline Fourier transform infrared (FTIR) spectroscopic techniques for bioreactor

Keywords： process analytical technology (PAT)     Fourier-transform infrared (FTIR) spectroscopy     partial least squares    

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Study on online monitoring method for flood discharge structure damage based on Hilbert-Huang Transform

Lian Jijian,Li Chengye,Liu Fang,Ma Bin

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 38-44

Abstract:

In the long-term service period, many factors may lead to serious damages and deficiencies to the structure, such as complicated working conditions, inadequate investigation and design, poor management, aging of structure, etc. Therefore, it's very important to study the online monitoring method for flood discharge. According to the special advantages of HHT in instantaneous characteristics analysis and signal processing, an online monitoring method for flood discharge structure damage based on HHT is put forward in this paper. Firstly, after obtaining the HHT energy spectrum of measured responses, the energy distribution vector, defined as ηi , can be calculated. Then, because of the η i differences between undamaged and damaged situations, we determine the structure anomaly indexes and the warning threshold. Finally, having been calculating the anomaly indexes of adjacent time periods, the damage online monitoring can be realized. The results from the numerical simulation test of a guide wall demonstrate that the anomaly indexes mentioned above can accurately identify the structure damage and have anti-noise ability to some degree. However, the further research for estimating the damage location and degree need to be developed in the next period.

Keywords： flood discharge structure     Hilbert-Huang Transform     the energy distribution vector     anomaly index     warning    

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Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900552

Abstract: Similarity measure has long played a critical role and attracted great interest in various areas such as and machine perception. Nevertheless, there remains the issue of developing an efficient two-dimensional (2D) robust similarity measure method for images. Inspired by the properties of subspace, we develop an effective 2D technique, named transformation similarity measure (TSM), for robust . Specifically, the TSM method robustly determines the similarity between two well-aligned frontal facial images while weakening interference in the by linear transformation and singular value decomposition. We present the mathematical features and some odds to reveal the feasible and robust measure mechanism of TSM. The performance of the TSM method, combined with the nearest neighbor rule, is evaluated in under different challenges. Experimental results clearly show the advantages of the TSM method in terms of accuracy and robustness.
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Extension Detecting Technology

Yu Yongquan

Strategic Study of CAE 2001, Volume 3, Issue 4,   Pages 88-94

Abstract:

Detecting is a key technology which has widely been used in almost all fields. However, there are two problems in traditional detecting methods. First, some physical value can not be detected; Second, it is difficult to improve the accuracy according to the way currently in effect. In this paper, based on the transformation concept of the contradiction, a new detecting technology—extension detecting technology (EDT) , which is totally different from the existing ones is developed. EDT takes advantage of the concept of matter element and the related methods of extrinsic. It use the transformation of matter element to study detecting technology. In order to solve detecting problems of undetectable physical value the related concepts, basic principle and frame of extension detecting technology are introduced. An implementing way for its application to engineering is proposed, and an example is given as well.

Keywords： extension detecting technology     extrinsic     transform of matter element    

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Error analysis of the parameters for non-coaxial grazing X-ray microscope

ZHAO Lingling, HU Jiasheng, LI Xiang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 323-329 doi: 10.1007/s11465-007-0057-z

Abstract: A non-coaxial grazing X-ray microscope, consisting of four spherical mirrors, is designed for diagnosisA set of non-coaxial grazing X-ray microscopes is manufactured based on the tolerances.

Keywords： non-coaxial     spherical     manufacturing     necessary     diagnosis    

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Level-direction decomposition analysis with a focus on image watermarking framework Article

M. F. KAZEMI,M. A. POURMINA,A. H. MAZINAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1199-1217 doi: 10.1631/FITEE.1500165

Abstract: main process of realizing a watermarking framework is to generate a watermarked image with a focus on contourletThe module of the inverse of contourlet embedding representation is correspondingly employed to obtaindecision making system is designed to find the best level and the corresponding direction regarding contourletlies in using a new integration of a set of subsystems, employed based upon the novel mechanism in contourlet

Keywords： Level-direction decomposition analysis     Watermarking framework     Contourlet embedding representation    

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Title Author Date Type Operation

De-scattering and edge-enhancement algorithms for underwater image restoration

Pan-wang PAN, Fei YUAN, En CHENG

Journal Article

Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniformfast Fourier transform

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Journal Article

Non-stationary signal analysis based on general parameterized time--frequency transform and its application

Peng ZHOU, Zhike PENG, Shiqian CHEN, Yang YANG, Wenming ZHANG

Journal Article

Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article

A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Journal Article

Thermogravimetric coupled with Fourier transform infrared analysis study on thermal treatment of monopotassium

Yuheng FENG, Xuguang JIANG, Yong CHI, Xiaodong LI, Hongmei ZHU

Journal Article

Sparse fast Clifford Fourier transform

Rui WANG, Yi-xuan ZHOU, Yan-liang JIN, Wen-ming CAO

Journal Article

A new acoustic emission source location technique based on wavelet transform and mode analysis

JIAO Jing-pin, HE Cun-fu, WU Bin, FEI Ren-yuan, WANG Xiu-yan

Journal Article

Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

Journal Article

Real time monitoring of bioreactor mAb IgG3 cell culture process dynamics via Fourier transform infrared

Huiquan Wu, Erik Read, Maury White, Brittany Chavez, Kurt Brorson, Cyrus Agarabi, Mansoor Khan

Journal Article

Study on online monitoring method for flood discharge structure damage based on Hilbert-Huang Transform

Lian Jijian,Li Chengye,Liu Fang,Ma Bin

Journal Article

Subspace transform induced robust similarity measure for facial images

Jian Zhang, Heng Zhang, Li-ling Bo, Hong-ran Li, Shuai Xu, Dong-qing Yuan,zhangjian@jou.edu.cn,zhangheng@jou.edu.cn

Journal Article

Extension Detecting Technology

Yu Yongquan

Journal Article

Error analysis of the parameters for non-coaxial grazing X-ray microscope

ZHAO Lingling, HU Jiasheng, LI Xiang

Journal Article

Level-direction decomposition analysis with a focus on image watermarking framework

M. F. KAZEMI,M. A. POURMINA,A. H. MAZINAN

Journal Article