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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

《信息与电子工程前沿（英文）》 2016年 第17卷 第3期   页码 250-257 doi: 10.1631/FITEE.1500244

摘要： Endmember extraction is a key step in the hyperspectral image analysis process. The kernel new simplex growing algorithm (KNSGA), recently developed as a nonlinear alternative to the simplex growing algorithm (SGA), has proven a promising endmember extraction technique. However, KNSGA still suffers from two issues limiting its application. First, its random initialization leads to inconsistency in final results; second, excessive computation is caused by the iterations of a simplex volume calculation. To solve the first issue, the spatial pixel purity index (SPPI) method is used in this study to extract the first endmember, eliminating the initialization dependence. A novel approach tackles the second issue by initially using a modified Cholesky factorization to decompose the volume matrix into triangular matrices, in order to avoid directly computing the determinant tautologically in the simplex volume formula. Theoretical analysis and experiments on both simulated and real spectral data demonstrate that the proposed algorithm significantly reduces computational complexity, and runs faster than the original algorithm.

关键词： Endmember extraction     Modified Cholesky factorization     Spatial pixel purity index (SPPI)     New simplex growing 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

《能源前沿（英文）》 2022年 第16卷 第2期   页码 277-291 doi: 10.1007/s11708-021-0731-6

摘要： An integrated and systematic database of sooting tendency with more than 190 kinds of fuels was obtained through a series of experimental investigations. The laser-induced incandescence (LII) method was used to acquire the 2D distribution of soot volume fraction, and an apparatus-independent yield sooting index (YSI) was experimentally obtained. Based on the database, a novel predicting model of YSI values for surrogate fuels was proposed with the application of a machine learning method, named the Bayesian multiple kernel learning (BMKL) model. A high correlation coefficient (0.986) between measured YSIs and predicted values with the BMKL model was obtained, indicating that the BMKL model had a reliable and accurate predictive capacity for YSI values of surrogate fuels. The BMKL model provides an accurate and low-cost approach to assess surrogate performances of diesel, jet fuel, and biodiesel in terms of sooting tendency. Particularly, this model is one of the first attempts to predict the sooting tendencies of surrogate fuels that concurrently contain hydrocarbon and oxygenated components and shows a satisfying matching level. During surrogate formulation, the BMKL model can be used to shrink the surrogate candidate list in terms of sooting tendency and ensure the optimal surrogate has a satisfying matching level of soot behaviors. Due to the high accuracy and resolution of YSI prediction, the BMKL model is also capable of providing distinguishing information of sooting tendency for surrogate design.

关键词： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate formulation    

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

Tao Lu, Qilei Zhang, Shanjing Yao

《化学科学与工程前沿（英文）》 2017年 第11卷 第3期   页码 338-345 doi: 10.1007/s11705-017-1644-0

摘要： 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.

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

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提升KPCA方法特征抽取效率的算法设计

徐勇,杨静宇,陆建峰

《中国工程科学》 2005年 第7卷 第10期   页码 38-42

摘要：

在PCA基础上发展出的KPCA方法能抽取样本的非线性特征分量。然而, 基于KPCA的特征抽取需计算所有训练样本与待抽取特征的样本间的核函数, 因此, 训练集的大小制约着特征抽取的效率。为了提高效率，假设特征空间中变换轴可由一部分训练样本(节点)线性表出，并设计了改进的KPCA算法(IKPCA)。该算法抽取某样本特征时，只需计算该样本与节点间的核函数即可。实验结果显示，IKPCA在对应较好性能的同时，具有明显的效率上的优势。

关键词： KPCA     IKPCA     特征抽取     特征空间    

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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

《农业科学与工程前沿（英文）》 2017年 第4卷 第2期   页码 228-236 doi: 10.15302/J-FASE-2017150

摘要： Five cotton cultivars and their parents were tested for induction of germination of Wallr. (sunflower broomrape) seeds in pot and field experiments. Germination rates induced by cotton root extracts were the highest followed by stem extracts then leaf extracts. Cotton seedlings at the six-leaf stage induced higher germination than seedling at the two- and four-leaf stage, in all five cotton cultivars and their parents. In the field, the highest concentration of cotton root extracts gave the highest germination rate of , and the lowest concentration of cotton root extracts gave the lowest germination rate. Methanol extracts of cotton rhizosphere soil gave the highest germination of . In general, the root, stem and leaf extracts were more active at the six-leaf stage than other seedling stages. In conclusion, extracts of cotton rhizosphere soil and tissues have high activity in the seedling stage. Extracts of cotton across the whole growing season were able to induce germination but displayed significant cultivar interactions.

关键词： agricultural systems     cotton     crop ecology     crop rotation systems     weed management    

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Development of soft kernel durum wheat

Craig F. MORRIS

《农业科学与工程前沿（英文）》 2019年 第6卷 第3期   页码 273-278 doi: 10.15302/J-FASE-2019259

摘要：

Kernel texture (grain hardness) is a fundamental and determining factor related to wheat ( spp.) milling, baking and flour utilization. There are three kernel texture classes in wheat: soft and hard hexaploid ( ), and very hard durum ( subsp. ). The genetic basis for these three classes lies with the Puroindoline genes. Phenotypically, the easiest means of quantifying kernel texture is with the Single Kernel Characterization System (SKCS), although other means are valid and can provide fundamental material properties. Typical SKCS values for soft wheat would be around 25 and for durum wheat≥80. Soft kernel durum wheat was created via homeologous recombination using the mutation, which facilitated the transfer of ca. 28 Mbp of 5DS that replaced ca. 21 Mbp of 5BS. The 5DS translocation contained a complete and intact locus and both puroindoline genes. Expression of the puroindoline genes in durum grain resulted in kernel texture and flour milling characteristics nearly identical to that of soft wheat, with high yields of break and straight-grade flours, which had small particle size and low starch damage. Dough water absorption was markedly reduced compared to durum flour and semolina. Dough was essentially unchanged and reflected the inherent gluten properties of the durum background. Pasta quality was essentially equal-to-or-better than pasta made from semolina. Agronomically, soft durum germplasm showed good potential with moderate grain yield and resistance to a number of fungal pathogens and insects. Future breeding efforts will no doubt further improve the quality and competitiveness of soft durum cultivars.

关键词： 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

《信息与电子工程前沿（英文）》 2015年 第16卷 第5期   页码 380-390 doi: 10.1631/FITEE.1400421

摘要： We propose a new constructive algorithm, called HAPE3D, which is a heuristic algorithm based on the principle of minimum total potential energy for the 3D irregular packing problem, involving packing a set of irregularly shaped polyhedrons into a box-shaped container with fixed width and length but unconstrained height. The objective is to allocate all the polyhedrons in the container, and thus minimize the waste or maximize profit. HAPE3D can deal with arbitrarily shaped polyhedrons, which can be rotated around each coordinate axis at different angles. The most outstanding merit is that HAPE3D does not need to calculate no-fit polyhedron (NFP), which is a huge obstacle for the 3D packing problem. HAPE3D can also be hybridized with a meta-heuristic algorithm such as simulated annealing. Two groups of computational experiments demonstrate the good performance of HAPE3D and prove that it can be hybridized quite well with a meta-heuristic algorithm to further improve the packing quality.

关键词： 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

《能源前沿（英文）》 2014年 第8卷 第4期   页码 490-503 doi: 10.1007/s11708-014-0311-0

摘要： Energy efficiency, which consists of using less energy or improving the level of service to energy consumers, refers to an effective way to provide overall energy. But its increasing pressure on the energy sector to control greenhouse gases and to reduce CO emissions forced the power system operators to consider the emission problem as a consequential matter besides the economic problems. The economic power dispatch problem has, therefore, become a multi-objective optimization problem. Fuel cost, pollutant emissions, and system loss should be minimized simultaneously while satisfying certain system constraints. To achieve a good design with different solutions in a multi-objective optimization problem, fuel cost and pollutant emissions are converted into single optimization problem by introducing penalty factor. Now the power dispatch is formulated into a bi-objective optimization problem, two objectives with two algorithms, firefly algorithm for optimization the fuel cost, pollutant emissions and the real genetic algorithm for minimization of the transmission losses. In this paper the new approach (firefly algorithm-real genetic algorithm, FFA-RGA) has been applied to the standard IEEE 30-bus 6-generator. The effectiveness of the proposed approach is demonstrated by comparing its performance with other evolutionary multi-objective optimization algorithms. Simulation results show the validity and feasibility of the proposed method.

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

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基于非线性数据变换的离群点检测算法

徐雪松,张谞,宋东明,张宏,刘凤玉

《中国工程科学》 2008年 第10卷 第9期   页码 74-78

摘要：

为了提高高维数据集合离群数据挖掘效率，在分析了传统的离群数据挖掘算法优点和缺点的基础上，提出了一种离群点检测算法，首先将非线性问题转化为高维特征空间中的线性问题，然后利用非线性数据变换进行维数约减，对所得数据对象每个投影分量逐个判断数据点是否是离群点，通过实验证明该算法不仅可用于线性可分数据集的离群点检测，而且可用于线性不可分数据集的离群点检测，表明了算法的优越性。

关键词： 维数消减     核函数     主成分     离群数据    

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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

《结构与土木工程前沿（英文）》 2022年 第16卷 第3期   页码 329-346 doi: 10.1007/s11709-022-0801-9

摘要： This study presents a new systematic algorithm to optimize the durability of reinforced recycled aggregate concrete. The proposed algorithm integrates machine learning with a new version of the firefly algorithm called chaotic based firefly algorithm (CFA) to evolve a rational and efficient predictive model. The CFA optimizer is augmented with chaotic maps and Lévy flight to improve the firefly performance in forecasting the chloride penetrability of strengthened recycled aggregate concrete (RAC). A comprehensive and credible database of distinctive chloride migration coefficient results is used to establish the developed algorithm. A dataset composite of nine effective parameters, including concrete components and fundamental characteristics of recycled aggregate (RA), is used as input to predict the migration coefficient of strengthened RAC as output. k-fold cross validation algorithm is utilized to validate the hybrid algorithm. Three numerical benchmark analyses are applied to prove the superiority and applicability of the CFA algorithm in predicting chloride penetrability. Results show that the developed CFA approach significantly outperforms the firefly algorithm on almost tested functions and demonstrates powerful prediction. In addition, the proposed strategy can be an active tool to recognize the contradictions in the experimental results and can be especially beneficial for assessing the chloride resistance of RAC.

关键词： 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

《环境科学与工程前沿（英文）》 2014年 第8卷 第3期   页码 394-404 doi: 10.1007/s11783-013-0602-4

摘要： Screening plants that are hypertolerant to and excluders of certain heavy metals plays a fundamental role in a remediation strategy for metalliferous mine tailings. A field survey of terrestrial higher plants growing on Mn mine tailings at Huayuan, Hunan Province, China was conducted to identify candidate species for application in phytostabilization of the tailings in this region. In total, 51 species belonging to 21 families were recorded and the 12 dominant plants were investigated for their potential in phytostabilization of heavy metals. Eight plant species, , , , , , , , and accumulated much lower concentrations of heavy metals in shoots and roots than the associated soils and bioconcentration factors (BFs) for Cd, Mn, Pb and Zn were all<1, demonstrating a high tolerance to heavy metals and poor metals translocation ability. The field investigation also found that these species grew fast, accumulated biomass rapidly and developed a vegetation cover in a relatively short time. Therefore, they are good candidates for phytostabilization purposes and could be used as pioneer species in phytoremediation of Mn mine tailings in this region of South China.

关键词： Mn mine tailings     heavy metal accumulation     phytostabilization    

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基于改进型分簇和核岭回归的RSS室内定位算法 Research Articles

乐燕芬,张贺娜,施伟斌,姚恒

《信息与电子工程前沿（英文）》 2021年 第22卷 第6期   页码 827-838 doi: 10.1631/FITEE.2000093

摘要： 智能移动设备和无线传感器网络相关技术的融合发展，使得基于位置的服务受到广泛关注。如何利用无线信号在室内复杂环境下实时获得理想的定位精度，成为当前研究热点之一。提出一种基于接收信号强度（RSS, received signal strength）的位置指纹定位算法。该算法分为离线和在线阶段。离线阶段采用一种改进的分簇方法，采用K中心点分簇算法，把物理位置位于簇外边缘的参考点加入簇指纹库，使得参考位置点的RSS信号特性与物理位置结合。在线定位时，基于簇匹配的粗定位与簇内二次精确定位结合。簇内定位采用基于核岭回归的算法，通过核函数实现RSS信号特性与物理位置非线性关系挖掘，同时算法在簇内成员中进行，减小了时间复杂度。通过两个典型室内环境下的定位实验，探究了基于RSS信号强度和覆盖向量的两种分簇和簇匹配准则对算法性能的影响，以及不同环境下参数的选择，验证了所提算法的定位性能。

关键词： 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

《信息与电子工程前沿（英文）》 2015年 第16卷 第8期   页码 654-657 doi: 10.1631/FITEE.1500082

摘要： This paper is a continuation of our previous work (Zhang and Chen, 2010b). Following the same general steps of the proof there, we make essential improvement on our previous theorem by recalculating a key inequality. Our result shows that the Marcinkiewicz integral, with a bounded radial function in its kernel, is still bounded on the Triebel-Lizorkin space.

关键词： 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

《化学科学与工程前沿（英文）》 2021年 第15卷 第1期   页码 1-3 doi: 10.1007/s11705-020-2027-5

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基于核空间非线性特征提取的图像质量评价方法 Article

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

《信息与电子工程前沿（英文）》 2016年 第17卷 第10期   页码 1008-1017 doi: 10.1631/FITEE.1500439

摘要： 不同于传统方法中通过线性变换或模型表达图像的方式，本文采用高维空间的一种数学表达来揭示图像的统计特性，通过引入核独立分量分析（kernel independent component analysis,

关键词： 图像质量评价；全参考方法；特征提取；核空间；支持向量回归    

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标题 作者 时间 类型 操作

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

期刊论文

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

期刊论文

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

Tao Lu, Qilei Zhang, Shanjing Yao

期刊论文

提升KPCA方法特征抽取效率的算法设计

徐勇,杨静宇,陆建峰

期刊论文

Extracts from cotton over the whole growing season induce

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

期刊论文

Development of soft kernel durum wheat

Craig F. MORRIS

期刊论文

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

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

期刊论文

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

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

期刊论文

基于非线性数据变换的离群点检测算法

徐雪松,张谞,宋东明,张宏,刘凤玉

期刊论文

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

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

期刊论文

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

期刊论文

基于改进型分簇和核岭回归的RSS室内定位算法

乐燕芬,张贺娜,施伟斌,姚恒

期刊论文

Boundedness of Marcinkiewicz integralwith rough kernel onTriebel-Lizorkin spaces

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

期刊论文

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

Weiping Wu, Xiaolei Fan, Yongliang Li, Ruijiao Dong

期刊论文

基于核空间非线性特征提取的图像质量评价方法

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

期刊论文