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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 imagerobustness, this algorithm has some difficulties with the quality and quantity of the extracted local featureIn 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 transformthe local features to global features while reducing dimensionality of the feature space.

Keywords： Content-based image retrieval     Feature point distribution     Image registration     Linear discriminant analysis     Remote sensing     Scale-invariant feature transform    

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Detection of engineering vehicles in high-resolution monitoring images

Xun Liu, Yin Zhang, San-yuan Zhang, Ying Wang, Zhong-yan Liang, Xiu-zi Ye,star.liuxun@gmail.com,yinzh@zju.edu.cn,syzhang@zju.edu.cn,maggiewang0427@gmail.com

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 346-357 doi: 10.1631/FITEE.1500026

Abstract: Then an accelerated and improved salient mask is used to improve the performance of the dense scale-invariantfeature transform descriptor.

Keywords： Object detection     Histogram of oriented gradient (HOG)     Dense scale-invariant feature transform (dense    

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Non-stationary signal analysis based on general parameterized time--frequency transform and its applicationin the feature extraction of a rotary machine

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: pattern of the vibration signal from the rotary machine often contains condition information and fault featureeffective 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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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: Thus, view-invariant analysis becomes important for action recognition algorithms, and a number of researchersExperiments on three public view-invariant action recognition datasets, i.e., ViHASi, IXMAS, and WVU,More importantly, when the feature dimension is correctly selected (i.e.,>60), the proposed algorithm

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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An invariant descriptor for conjugate forced convection-conduction cooling of 3D protruding heaters in

Thiago ANTONINI ALVES,Paulo H. D. SANTOS,Murilo A. BARBUR

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 263-276 doi: 10.1007/s11465-015-0345-y

Abstract: independent power dissipation in each heater by using a matrix G+ with invariantThe conjugate coefficients are invariant with the heat generation rate in the array of heaters when assuming

Keywords： flow     conjugate forced convection-conduction cooling     conjugate influence coefficients     discrete heating     invariant    

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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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The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Strategic Study of CAE 2003, Volume 5, Issue 4,   Pages 61-64

Abstract: Wavelet transform has the capacity for detecting local signal mutation and detects information usinganalyzes the basic theory using two dimensions wavelet to detect image edges on the basis of wavelet transformand then designs the detecting algorithm of the multi-scale edge matching.

Keywords： wavelet transform     multi-scale     edges detection    

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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 allocationthe ‘reversibility’ is modeled according to distortion analysis in using forward and inverse integer transformIt not only measures how invertible a transform is, but also bounds the distortion introduced by thenon-orthonormal integer transform process.The ‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design in

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

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Cloud-Model-Based Feature Engineering to Analyze the Energy–Water Nexus of a Full-Scale Wastewater Treatment

Shan-Shan Yang,Xin-Lei Yu,Chen-Hao Cui,Jie Ding,Lei He,Wei Dai,Han-Jun Sun,Shun-Wen Bai,Yu Tao,Ji-Wei Pang,Nan-Qi Ren,

Engineering doi: 10.1016/j.eng.2022.02.011

Abstract: Wastewater treatment plants (WWTPs) are important and energy-intensive municipal infrastructures. High energy consumption and relatively low operating performance are major challenges from the perspective of carbon neutrality. However, water–energy nexus analysis and models for WWTPs have rarely been reported to date. In this study, a cloud-model-based energy-consumption analysis (CMECA) of a WWTP was conducted to explore the relationship between influent and energy consumption by clustering its influent’s parameters. The principal component analysis (PCA) and K-means clustering were applied to classify the influent condition using water quality and volume data. The energy consumption of the WWTP is divided into five standard evaluation levels, and its cloud digital characteristics (CDCs) were extracted according to bilateral constraints and golden ratio methods. Our results showed that the energy consumption distribution gradually dispersed and deviated from the Gaussian distribution with decreased water concentration and quantity. The days with high energy efficiency were extracted via the clustering method from the influent category of excessive energy consumption, represented by a compact-type energy consumption distribution curve to identify the influent conditions that affect the steady distribution of energy consumption. The local WWTP has high energy consumption with 0.3613 kW·h·m−3 despite low influent concentration and volumes, across four consumption levels from low (I) to relatively high (IV), showing an unsatisfactory operation and management level. The average oxygenation capacity, internal reflux ratio, and external reflux ratio during high energy efficiency days recognized by further clustering were obtained (0.2924–0.3703 kg O2·m−3, 1.9576–2.4787 and 0.6603–0.8361, respectively), which could be used as a guide for the days with low energy efficiency. Consequently, this study offers a water–energy nexus analysis method to identify influent conditions with operational management anomalies and can be used as an empirical reference for the optimized operation of WWTPs.

Keywords： Wastewater treatment plants     Cloud-model theory     Data mining     Principal component analysis     K     -means clustering     Cloud-model-based energy-consumption analysis    

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Contact of surfaces and contact characteristics of offset surfaces

CAO Lixin, GONG Hu, LIU Jian

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 318-324 doi: 10.1007/s11465-008-0067-5

Abstract: The research results indicate that the relative normal curvature is an important geometrical invariant

Keywords： relative     important geometrical     relationship     geometrical invariant     calculation    

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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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Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 83-92

Abstract: The paper studied the principle of inner product transform of dynamic signals and basis functions, proposed

Keywords： mechanical fault diagnosis     principle of inner product transform     adaptive basis function     multiwaveletdenoising     fault feature extraction    

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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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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: frequency range of the weak signals that the SR model can detect is extended through a type of normalized scale

Keywords： extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipient    

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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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Title Author Date Type Operation

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

Hamed BOZORGI, Ali JAFARI

Journal Article

Detection of engineering vehicles in high-resolution monitoring images

Xun Liu, Yin Zhang, San-yuan Zhang, Ying Wang, Zhong-yan Liang, Xiu-zi Ye,star.liuxun@gmail.com,yinzh@zju.edu.cn,syzhang@zju.edu.cn,maggiewang0427@gmail.com

Journal Article

Non-stationary signal analysis based on general parameterized time--frequency transform and its applicationin the feature extraction of a rotary machine

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

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

An invariant descriptor for conjugate forced convection-conduction cooling of 3D protruding heaters in

Thiago ANTONINI ALVES,Paulo H. D. SANTOS,Murilo A. BARBUR

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

The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Journal Article

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

Xing-guo ZHU,Lu YU

Journal Article

Cloud-Model-Based Feature Engineering to Analyze the Energy–Water Nexus of a Full-Scale Wastewater Treatment

Shan-Shan Yang,Xin-Lei Yu,Chen-Hao Cui,Jie Ding,Lei He,Wei Dai,Han-Jun Sun,Shun-Wen Bai,Yu Tao,Ji-Wei Pang,Nan-Qi Ren,

Journal Article

Contact of surfaces and contact characteristics of offset surfaces

CAO Lixin, GONG Hu, LIU Jian

Journal Article

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

Journal Article

Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

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

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

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

Journal Article