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Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember

Jing LI,Xiao-run LI,Li-jiao WANG,Liao-ying ZHAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 250-257 doi: 10.1631/FITEE.1500244

Abstract: The kernel new simplex growing algorithm (KNSGA), recently developed as a nonlinear alternative to thesimplex growing algorithm (SGA), has proven a promising endmember extraction technique.However, KNSGA still suffers from two issues limiting its application.leads to inconsistency in final results; second, excessive computation is caused by the iterations of a simplexsignificantly reduces computational complexity, and runs faster than the original algorithm.

Keywords： Endmember extraction     Modified Cholesky factorization     Spatial pixel purity index (SPPI)     New simplexgrowing algorithm (NSGA)     Kernel new simplex growing algorithm (KNSGA)    

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An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: surrogate fuels was proposed with the application of a machine learning method, named the Bayesian multiple kernel

Keywords： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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Removal of dyes from wastewater by growing fungal pellets in a semi-continuous mode

Tao Lu, Qilei Zhang, Shanjing Yao

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 338-345 doi: 10.1007/s11705-017-1644-0

Abstract: To increase the efficiency of dye removal from wastewater using mycelial pellets, a bubble column reactor with a simple structure was designed and efficiently used to remove dyes from solution containing dyes. The mycelial pellets were prepared by marine fungus ZJUBE-1. Eight dyes were tested as dye targets for the adsorption capacity of mycelial pellets and good removal results were obtained. Eriochrome black T was selected as a model dye for characterizing the adsorption processes in detail. The measurement results of Zeta potential and FT-IR analysis indicate that the electrostatic attraction may play a key role in the biosorption process. The bubble column reactor was utilized to study the batch dye-removal efficiency of mycelial pellets. A re-culture process between every two batches, which was under non-sterile condition, successfully enhanced the utilization of mycelium biomass. The dye removal rate is 96.4% after 12 h in the first batch and then decreases slowly in the following batches. This semi-continuous mode, which consists of commutative processes of dye-removal and re-culture, has some outstanding advantages, such as low power consumption, easy operation, high dye removal rate, and efficient biomass utilization.

Keywords： dye     mycelial pellets     marine fungus     bubble column reactor     semi-continuous biosorption    

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Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 38-42

Abstract:

KPCA (kernel PCA) is derived from PCA. It can extract nonlinear feature components of samples.However, feature extraction for one sample requires that kernel functions between training samples andAccording to the supposition, an improved KPCA (IKPCA) algorithm is developed.IKPCA extracts feature components of one sample efficiently, only based on kernel functions between nodes

Keywords： KPCA(Kernel PCA)     IKPCA(Improved KPCA)     feature extraction     feature space    

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Extracts from cotton over the whole growing season induce

Ming LANG, Rui YU, Yongqing MA, Wei ZHANG, Christopher S. P. McErlean

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 228-236 doi: 10.15302/J-FASE-2017150

Abstract: Extracts of cotton across the whole growing season were able to induce germination but displayed significant

Keywords： agricultural systems     cotton     crop ecology     crop rotation systems     weed management    

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Development of soft kernel durum wheat

Craig F. MORRIS

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 3,   Pages 273-278 doi: 10.15302/J-FASE-2019259

Abstract:

Kernel texture (grain hardness) is a fundamental and determining factor related to wheat ( spp.) millingThere are three kernel texture classes in wheat: soft and hard hexaploid ( ), and very hard durum ( subspPhenotypically, the easiest means of quantifying kernel texture is with the Single Kernel CharacterizationSoft kernel durum wheat was created via homeologous recombination using the mutation, which facilitatedExpression of the puroindoline genes in durum grain resulted in kernel texture and flour milling characteristics

Keywords： soft durum wheat     grain hardness     puroindolines     milling     baking     pasta     noodles    

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HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 380-390 doi: 10.1631/FITEE.1400421

Abstract: We propose a new constructive algorithm, called HAPE3D, which is a heuristic algorithm based on the principleHAPE3D can also be hybridized with a meta-heuristic algorithm such as simulated annealing.the good performance of HAPE3D and prove that it can be hybridized quite well with a meta-heuristic algorithm

Keywords： 3D packing problem     Layout design     Simulation     Optimization     Constructive algorithm     Meta-heuristics    

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A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 490-503 doi: 10.1007/s11708-014-0311-0

Abstract: is formulated into a bi-objective optimization problem, two objectives with two algorithms, firefly algorithmfor optimization the fuel cost, pollutant emissions and the real genetic algorithm for minimizationIn this paper the new approach (firefly algorithm-real genetic algorithm, FFA-RGA) has been applied to

Keywords： economic power dispatch (EPD)     firefly algorithm (FFA)     real genetic algorithm (RGA)     hybrid method    

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Outliers detection algorithm based on nonlinear data transformation

Xu Xuesong,Zhang Xu,Song Dongming,Zhang Hong,Liu Fnegyu

Strategic Study of CAE 2008, Volume 10, Issue 9,   Pages 74-78

Abstract: A novel outlier detection algorithm is proposed after analyzing the advantages and disadvantages of theclassical outlier mining algorithm in the paper.In this paper, we can transform nonlinear large-scaleThis paper shows that the algorithm is not only used to detect linear separable outlier data,but alsoThis indicate that the algorithm has its obvious superiority.

Keywords： dimension reduction     kernel function     principal component     outliers    

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A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   Pages 329-346 doi: 10.1007/s11709-022-0801-9

Abstract: This study presents a new systematic algorithm to optimize the durability of reinforced recycled aggregateThe proposed algorithm integrates machine learning with a new version of the firefly algorithm calledchaotic based firefly algorithm (CFA) to evolve a rational and efficient predictive model.k-fold cross validation algorithm is utilized to validate the hybrid algorithm.Results show that the developed CFA approach significantly outperforms the firefly algorithm on almost

Keywords： chloride penetrability     recycled aggregate concrete     machine learning     concrete components     durability    

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Heavy metal accumulation and phytostabilization potential of dominant plant species growing on manganese

YANG Shengxiang,LIANG Shichu,YI Langbo,XU Bibo,CAO Jianbing,GUO Yifeng,ZHOU Yu

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 3,   Pages 394-404 doi: 10.1007/s11783-013-0602-4

Abstract: A field survey of terrestrial higher plants growing on Mn mine tailings at Huayuan, Hunan Province, China

Keywords： Mn mine tailings     heavy metal accumulation     phytostabilization    

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Received signal strength based indoor positioning algorithm using advanced clustering and kernel ridge Research Articles

Yanfen Le, Hena Zhang, Weibin Shi, Heng Yao,leyanfen@usst.edu.cn,hyao@usst.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 827-838 doi: 10.1631/FITEE.2000093

Abstract: We propose a novel algorithm based on the .The proposed algorithm can be divided into three steps, an offline phase at which an (AC) strategy isThen, a kernel-based ridge regression method is used to obtain the ultimate positioning of the targetThe performance of the proposed algorithm is evaluated in two typical indoor environments, and comparedThe experimental results demonstrate the effectiveness and advantages of the proposed algorithm in terms

Keywords： 室内定位；接收信号强度（RSS）指纹；核岭回归；簇匹配；改进型分簇    

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Boundedness of Marcinkiewicz integralwith rough kernel onTriebel-Lizorkin spaces

Chun-jie ZHANG,Fang-fang REN,Yu-huai ZHANG,Gui-lian GAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 654-657 doi: 10.1631/FITEE.1500082

Abstract: Our result shows that the Marcinkiewicz integral, with a bounded radial function in its kernel, is still

Keywords： Marcinkiewicz integral     Triebel-Lizorkin spaces    

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Growing collaborations between Chinese and UK young scholars on chemical science and technology

Weiping Wu, Xiaolei Fan, Yongliang Li, Ruijiao Dong

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 1,   Pages 1-3 doi: 10.1007/s11705-020-2027-5

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Image quality assessmentmethod based on nonlinear feature extraction in kernel space Article

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 1008-1017 doi: 10.1631/FITEE.1500439

Abstract: Furthermore, by introducing kernel methods to transform the linear problem into a nonlinear one, a full-reference

Keywords： Image quality assessment     Full-reference method     Feature extraction     Kernel space     Support vector regression    

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Title Author Date Type Operation

Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember

Jing LI,Xiao-run LI,Li-jiao WANG,Liao-ying ZHAO

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

Removal of dyes from wastewater by growing fungal pellets in a semi-continuous mode

Tao Lu, Qilei Zhang, Shanjing Yao

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

Extracts from cotton over the whole growing season induce

Ming LANG, Rui YU, Yongqing MA, Wei ZHANG, Christopher S. P. McErlean

Journal Article

Development of soft kernel durum wheat

Craig F. MORRIS

Journal Article

HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

Journal Article

A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Journal Article

Outliers detection algorithm based on nonlinear data transformation

Xu Xuesong,Zhang Xu,Song Dongming,Zhang Hong,Liu Fnegyu

Journal Article

A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Journal Article

Heavy metal accumulation and phytostabilization potential of dominant plant species growing on manganese

YANG Shengxiang,LIANG Shichu,YI Langbo,XU Bibo,CAO Jianbing,GUO Yifeng,ZHOU Yu

Journal Article

Received signal strength based indoor positioning algorithm using advanced clustering and kernel ridge

Yanfen Le, Hena Zhang, Weibin Shi, Heng Yao,leyanfen@usst.edu.cn,hyao@usst.edu.cn

Journal Article

Boundedness of Marcinkiewicz integralwith rough kernel onTriebel-Lizorkin spaces

Chun-jie ZHANG,Fang-fang REN,Yu-huai ZHANG,Gui-lian GAO

Journal Article

Growing collaborations between Chinese and UK young scholars on chemical science and technology

Weiping Wu, Xiaolei Fan, Yongliang Li, Ruijiao Dong

Journal Article

Image quality assessmentmethod based on nonlinear feature extraction in kernel space

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

Journal Article