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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 suchNevertheless, there remains the issue of developing an efficient two-dimensional (2D) robust similaritymeasure method for images.measure (TSM), for robust .Specifically, the TSM method robustly determines the similarity between two well-aligned frontal facial

Afeature selection approach based on a similarity measure for software defect prediction Article

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1744-1753 doi: 10.1631/FITEE.1601322

Abstract: To fully measure the correlation between different features and the class, we present a feature selectionapproach based on a similarity measure (SM) for software defect prediction.First, the feature weights are updated according to the similarity of samples in different classes.

Keywords: Software defect prediction     Feature selection     Similarity measure     Feature weights     Feature ranking list    

Improved binary similarity measures for software modularization Article

Rashid NASEEM, Mustafa BinMat DERIS, Onaiza MAQBOOL, Jing-peng LI, Sara SHAHZAD, Habib SHAH

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1082-1107 doi: 10.1631/FITEE.1500373

Abstract: Various binary similarity measures have been employed in clustering approaches to make homogeneous groupsThese similarity measures are mostly based only on the presence or absence of features.Binary similarity measures have also been explored with different clustering approaches (e.g., agglomerativeEach similarity measure has its own strengths and weaknesses which improve and deteriorate the clusteringFurthermore, based on these existing similarity measures, we introduce several improved new binary similarity

Keywords: Binary similarity measure     Binary features     Combination of measures     Software modularization    

Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Considering the severity of power grid disasters, an improved power grid resilience measure and its corresponding

Keywords: resilience measure     power grid     importance measure     component recovery    

New approach for distinguishing the similarity of links

XIANG Jianyun, GE Maozhong, WANG Zhiping

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 55-58 doi: 10.1007/s11465-008-0004-7

Abstract: Based on the problem of distinguishing the similarity of links in the regenerative innovation design

Keywords: kinematic     similarity     implementation     mechanism     standard    

A novel multiple-outlier-robust Kalman filter Research Articles

Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 422-437 doi: 10.1631/FITEE.2000642

Abstract: A new is first proposed to evaluate the similarity between two random vectors from dimension to dimensionThe selection strategy for the similarity function and comparisons with existing robust methods are presented

Keywords: Kalman filtering     Multiple statistical similarity measure     Multiple outliers     Fixed-point iteration    

Case modifying of high-speed cutting database based on CSP and similarity theory

Kejun XIANG, Zhanqiang LIU, Xing AI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 83-87 doi: 10.1007/s11465-009-0014-0

Abstract: the variables’ difference of the solution part in a case, a constraint satisfaction problem (CSP) and similarityOn the basis of the high-speed cutting theory, a similarity calculation formula is deduced to calculateThe CSP and similarity calculation are applied to case modifying, which is possible to automatically

Keywords: high-speed cutting database     case modifying     CSP     similarity calculation    

Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm

Yifei Wang, Kai Wang, Zhao Zhou, Wenli Du

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 3,   Pages 599-607 doi: 10.1007/s11705-019-1807-2

Abstract: In consideration of the requirement of transfer learning for certain similarity of different datasets, a transfer learning method based on local similarity feature selection is proposed.The effectiveness and application scope of the transfer modeling method under different similarity conditions

Keywords: near-infrared spectroscopy     transfer learning     similarity     modeling    

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: operating data set with steep slope signals is created based on physics equations and then a feature similarity-based

Keywords: gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: Metamodels have been widely used as an alternative for expensive physical experiments or complex, time-consuming computational simulations to provide a fast but accurate analysis. However, challenge remains in the prior determination of the most suitable metamodel for a particular case because of the lack of information about the actual behavior of a system. In addition, existing studies on metamodels have largely restricted on solving deterministic problems (e.g., data from finite element models), whereas some real-life engineering problems (e.g., data from physical experiment) are stochastic problems with noisy data. In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone metamodels in a weighted sum form. The weight factor is adaptively determined according to the hybrid error metric, which combines global and local error measures to improve the accuracy of the EMs. Furthermore, three typical individual metamodels that can filter noise are selected to construct the EMs to extend their application in practical engineering problems. Three well-known benchmark problems with different levels of noise and three engineering problems are used to verify the effectiveness of the proposed EMs. Results show that the proposed EMs have higher accuracy and robustness than the individual metamodels and other typical EMs in major cases.

Keywords: metamodel     ensemble of metamodels     hybrid error measure     stochastic problem    

Search for a natural scientific measure of economy

John E COULTER

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1,   Pages 111-118 doi: 10.1007/s11783-011-0285-7

Abstract: 1950s, is being researched, developed, and applied, especially in China, driven by the desperation to measure

Keywords: climate change     financial crisis     energy     exergy     environment    

Chemically reactive solute transfer in a boundary layer slip flow along a stretching cylinder

Swati Mukhopadhyay

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 3,   Pages 385-391 doi: 10.1007/s11705-011-1101-4

Abstract: Similarity transformations are used to convert the partial differential equations corresponding to momentum

Keywords: boundary layer     stretching cylinder     partial slip     mass transfer     similarity solution    

A dynamic procedure based on the scale-similarity hypotheses for large-eddy simulation

ZHOU Bing, CUI Guixiang, CHEN Naixiang

Frontiers in Energy 2007, Volume 1, Issue 4,   Pages 468-472 doi: 10.1007/s11708-007-0069-z

Abstract: Current dynamic procedures in large-eddy simulation treat the two subgrid-scale stresses in the Germano identity with the same subgrid base model. Thus to get the base model coefficient, the coefficient must be assumed to be consta

Keywords: large-eddy simulation     Germano identity     coefficient     subgrid-scale    

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: In this paper, fuzzy concept is introduced to model the uncertainty, and a similarity metric is usednetwork by replacing the traditional relations with fuzzy relation and calculating the global fuzzy measure

Keywords: Time-series network     Fuzzy network     Fuzzy Markov chain    

Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze the similarity

Keywords: Protein-protein interaction network     Essential protein modules     Overlap     Overlap maximum matching ratio    

Title Author Date Type Operation

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

Afeature selection approach based on a similarity measure for software defect prediction

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Journal Article

Improved binary similarity measures for software modularization

Rashid NASEEM, Mustafa BinMat DERIS, Onaiza MAQBOOL, Jing-peng LI, Sara SHAHZAD, Habib SHAH

Journal Article

Improved resilience measure for component recovery priority in power grids

Journal Article

New approach for distinguishing the similarity of links

XIANG Jianyun, GE Maozhong, WANG Zhiping

Journal Article

A novel multiple-outlier-robust Kalman filter

Yulong HUANG, Mingming BAI, Yonggang ZHANG,heuedu@163.com,mingming.bai@hrbeu.edu.cn,zhangyg@hrbeu.edu.cn

Journal Article

Case modifying of high-speed cutting database based on CSP and similarity theory

Kejun XIANG, Zhanqiang LIU, Xing AI

Journal Article

Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm

Yifei Wang, Kai Wang, Zhao Zhou, Wenli Du

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

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Search for a natural scientific measure of economy

John E COULTER

Journal Article

Chemically reactive solute transfer in a boundary layer slip flow along a stretching cylinder

Swati Mukhopadhyay

Journal Article

A dynamic procedure based on the scale-similarity hypotheses for large-eddy simulation

ZHOU Bing, CUI Guixiang, CHEN Naixiang

Journal Article

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Journal Article

Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Journal Article