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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.The ‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design inhow much coding gain an integer-KLT loses when compared with the original KLT.best reversibility is the optimal integer transform for a given non-integer-KLT.

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

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Treatment, residual chlorine and season as factors affecting variability of trihalomethanes in small drinking water systems

Roberta DYCK,Geneviève COOL,Manuel RODRIGUEZ,Rehan SADIQ

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 1,   Pages 171-179 doi: 10.1007/s11783-014-0750-1

Abstract: Seasonal variability in source water can lead to challenges for drinking water providers related to operational optimization and process control in treatment facilities. The objective of this study is to investigate seasonal variability of water quality in municipal small water systems (<3000 residents) supplied by surface waters. Residual chlorine and trihalomethanes (THM) were measured over seven years (2003–2009). Comparisons are made within each system over time, as well as between systems according to the type of their treatment technologies. THM concentrations are generally higher in the summer and autumn. The seasonal variability was generally more pronounced in systems using chlorination plus additional treatment. Chloroform, total THM (TTHM) and residual chlorine concentrations were generally lower in systems using chlorination plus additional treatment. Conversely, brominated THM concentrations were higher in systems using additional treatment. Residual chlorine was highest in the winter and lowest in the spring and summer. Seasonal variations were most pronounced for residual chlorine in systems with additional treatment. There was generally poor correlation between THM concentrations and concentrations of residual chlorine. Further study with these data will be beneficial in finding determinants and indicators for both quantity and variability of disinfection byproducts and other water quality parameters.

Keywords： drinking water     residual chlorine     seasonal variability     small municipal systems     treatment technologies     trihalomethanes    

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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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Molecular dynamics simulations of initial Pd and PdO nanocluster growth in a magnetron gas aggregation source

Pascal Brault, William Chamorro-Coral, Sotheara Chuon, Amaël Caillard, Jean-Marc Bauchire, Stève Baranton

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 2,   Pages 324-329 doi: 10.1007/s11705-019-1792-5

Abstract: Molecular dynamics simulations are carried out for describing growth of Pd and PdO nanoclusters using the ReaxFF force field. The resulting nanocluster structures are successfully compared to those of nanoclusters experimentally grown in a gas aggregation source. The PdO structure is quasi-crystalline as revealed by high resolution transmission microscope analysis for experimental PdO nanoclusters. The role of the nanocluster temperature in the molecular dynamics simulated growth is highlighted.

Keywords： molecular dynamics     cluster growth     plasma sputtering     nanocatalyst    

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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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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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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: effective non-stationary signal analysis method based on the general parameterized time–frequency transformThe 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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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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Probabilistic stability of uncertain composite plates and stochastic irregularity in their buckling mode shapes: A semi-analytical non-intrusive approach

Frontiers of Structural and Civil Engineering   Pages 179-190 doi: 10.1007/s11709-022-0888-z

Abstract: The random fields were decomposed by the Karhunen−Loève method.

Keywords： uncertain composite plate     stochastic assume mode method     Karhunen−Loève theorem     polynomial chaos approach    

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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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Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor Article

Hamed BOZORGI, Ali JAFARI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1108-1116 doi: 10.1631/FITEE.1500295

Abstract: The scale-invariant feature transform (SIFT) algorithm has been used successfully in satellite imageIn this paper, a novel method is introduced to transform the local SIFT features to global features forimage in the reference database as a separate class, linear discriminant analysis (LDA) is used to transform

Keywords： distribution     Image registration     Linear discriminant analysis     Remote sensing     Scale-invariant feature transform    

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Title Author Date Type Operation

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

Xing-guo ZHU,Lu YU

Journal Article

Treatment, residual chlorine and season as factors affecting variability of trihalomethanes in small drinking water systems

Roberta DYCK,Geneviève COOL,Manuel RODRIGUEZ,Rehan SADIQ

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

Molecular dynamics simulations of initial Pd and PdO nanocluster growth in a magnetron gas aggregation source

Pascal Brault, William Chamorro-Coral, Sotheara Chuon, Amaël Caillard, Jean-Marc Bauchire, Stève Baranton

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

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

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

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

Probabilistic stability of uncertain composite plates and stochastic irregularity in their buckling mode shapes: A semi-analytical non-intrusive approach

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

Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor

Hamed BOZORGI, Ali JAFARI

Journal Article