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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 groupsBinary 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 clusteringWe highlight the strengths of some well-known existing binary similarity measures for software modularizationFurthermore, based on these existing similarity measures, we introduce several improved new binary similarity

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

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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
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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    

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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    

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Binary neural networks for speech recognition Regular Papers

Yan-min QIAN, Xu XIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 701-715 doi: 10.1631/FITEE.1800469

Abstract: In this work, binary neural networks for speech recognition are developed to reduce the computationalA fast implementation of binary matrix multiplication is introduced.floating-point model to the compressed binary model is explored.Experiments on the standard Switchboard speech recognition task show that the proposed binary neuralWith the knowledge distillation from the normal floating-point models, the binary DNNs or binary convolutional

Keywords： Speech recognition     Binary neural networks     Binary matrix multiplication     Knowledge distillation     Population    

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Experimental investigation on mechanical properties of binary and ternary blended pervious concrete

Rekha SINGH, Sanjay GOEL

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 229-240 doi: 10.1007/s11709-019-0597-4

Abstract: The purpose of the investigation was to study the effect of binary and ternary blends of cement on theStandard cube specimens of size 150 mm × 150 mm × 150 mm of binary and ternary blends of mineral admixture

Keywords： mineral admixture     ternary     compressive strength     split tensile strength     pervious concrete     ultrasonic pulse velocity    

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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    

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Comparing the adsorption behaviors of Cd, Cu and Pb from water onto Fe-Mn binary oxide, MnO

Wei XU,Huachun LAN,Hongjie WANG,Hongming LIU,Jiuhui QU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 385-393 doi: 10.1007/s11783-014-0648-y

Abstract: The adsorption potential of FMBO, FeOOH, MnO for the removal of Cd , Cu and Pb in aqueous systems was investigated in this study. Comparing to FMBO and FeOOH, MnO offered a much higher removal capacity towards the three metal ions. The maximal adsorption capacity of MnO for Cd , Cu and Pb were 1.23, 2.25 and 2.60 mmol·g , respectively. And that for FMBO were 0.37, 1.13, and 1.18 mmol·g and for FeOOH were 0.11, 0.86 and 0.48 mmol·g , respectively. The adsorption behaviors of the three metal ions on the three adsorbents were all significantly affected by pH values and heavy metal removal efficiency increased with pH increased. The Langmuir and Freundlich adsorption models were used to describe the adsorption equilibrium of the three metal ions onto the three adsorbents. Results showed that the adsorption equilibrium data fitted well to Langmuir isotherm and this indicated that adsorption of metal ions occurred on the three metal oxides adsorbents limited to the formation of a monolayer. More negative charged of MnO surface than that of FMBO and FeOOH could be ascribed by lower pH of MnO than that of FMBO and FeOOH and this could contribute to more binding sites on MnO surface than that of FMBO and FeOOH. The higher metal ions uptake by MnO than FMBO and FeOOH could be well explained by the surface charge mechanism.

Keywords： heavy metals     Fe-Mn binary oxide     manganese dioxide     ferric hydroxide     adsorption    

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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    

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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    

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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    

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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: 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    

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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    

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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    

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Comprehensive performance analysis and optimization of 1,3-dimethylimidazolylium dimethylphosphate-water binary

Gorakshnath TAKALKAR, Ahmad K. SLEITI

Frontiers in Energy 2022, Volume 16, Issue 3,   Pages 521-535 doi: 10.1007/s11708-021-0720-9

Abstract: The energy and exergy analyses of the absorption refrigeration system (ARS) using H O-[mmim][DMP] mixture were investigated for a wide range of temperature. The equilibrium Dühring ( - - ) and enthalpy ( - - ) of mixture were assessed using the excess Gibbs free non-random two liquid (NRTL) model for a temperature range of 20°C to 140°C and from 0.1 to 0.9. The performance validation of the ARS cycle showed a better coefficient of performance (COP) of 0.834 for H O-[mmim][DMP] in comparison to NH -H O, H O-LiBr, H O-[emim][DMP], and H O-[emim][BF4]. Further, ARS performances with various operating temperatures of the absorber ( ), condenser ( ), generator ( ), and evaporator ( ) were simulated and optimized for a maximum COP and exergetic COP (ECOP). The effects of from 50°C to 150°C and and from 30°C to 50°C on COP and ECOP, the , , and circulation ratio (CR) of the ARS were evaluated and optimized for from 5°C to 15°C. The optimization revealed that needed to achieve a maximum COP which was more than that for a maximum ECOP. Therefore, this investigation provides criteria to select low grade heat source temperature. Most of the series flow of the cases of cooling water from the condenser to the absorber was found to be better than the absorber to the condenser.

Keywords： ionic liquid driven absorption cycle     H2O-[mmim][DMP]     coefficient of performance (COP)     exergy analysis     thermodynamics mixture property    

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Title Author Date Type Operation

Improved binary similarity measures for software modularization

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

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

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 resilience measure for component recovery priority in power grids

Journal Article

Binary neural networks for speech recognition

Yan-min QIAN, Xu XIANG

Journal Article

Experimental investigation on mechanical properties of binary and ternary blended pervious concrete

Rekha SINGH, Sanjay GOEL

Journal Article

New approach for distinguishing the similarity of links

XIANG Jianyun, GE Maozhong, WANG Zhiping

Journal Article

Comparing the adsorption behaviors of Cd, Cu and Pb from water onto Fe-Mn binary oxide, MnO

Wei XU,Huachun LAN,Hongjie WANG,Hongming LIU,Jiuhui QU

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

Comprehensive performance analysis and optimization of 1,3-dimethylimidazolylium dimethylphosphate-water binary

Gorakshnath TAKALKAR, Ahmad K. SLEITI

Journal Article