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A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8,   Pages 617-633 doi: 10.1631/FITEE.1400263

Abstract: regularized soft -means algorithm by exploiting the local and non-local geometric information of the dataand generalized linear discriminant analysis to provide a better and more meaningful data partition.LDRSKM can perform clustering and subspace selection simultaneously, enhancing the separability of dataWith the data partition obtained, kernel support vector data description (KSVDD) is used to establish

Keywords： Multimode process monitoring     Local discriminant regularized soft k-means clustering     Kernel supportvector data description     Bayesian inference     Tennessee Eastman process    

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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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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 theTheoretical analysis and experiments on both simulated and real spectral data demonstrate that the proposed

Keywords： Modified Cholesky factorization     Spatial pixel purity index (SPPI)     New simplex growing algorithm (NSGA)     Kernel    

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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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Unified description of sand behavior

Feng ZHANG, Bin YE, Guanlin YE

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 2,   Pages 121-150 doi: 10.1007/s11709-011-0104-z

Abstract: In this paper, the mechanical behavior of sand, was systematically described and modeled with a elastoplastic model proposed by Zhang et al. [ ]. Without losing the generality of the sand, a specific sand called as Toyoura sand, a typical clean sand found in Japan, has been discussed in detail. In the model, the results of conventional triaxial tests of the sand under different loading and drainage conditions were simulated with a fixed set of material parameters. The model only employs eight parameters among which five parameters are the same as those used in Cam-clay model. Once the parameters are determined with the conventional drained triaxial compression tests and undrained triaxial cyclic loading tests, then they are fixed to uniquely describe the overall mechanical behaviors of the Toyoura sand, without changing the values of the eight parameters irrespective of what kind of the loadings or the drainage conditions may be. The capability of the model is discussed in a theoretical way.

Keywords： constitutive model     sand     stress-induced anisotropy     density     structure    

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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:

The data dimension reduction is the main method that can enhance theoutliers mining efficiency based on higher-dimension data set.into linear data in the feature space,and introduce a nonlinear data transformation to reduce data dimensionOn the basis of each resulting vector,it determins whether the data is outlier data or not one by oneused to detect nonlinear inseparable outlier data.

Keywords： dimension reduction     kernel function     principal component     outliers    

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Building Information and Physical Model: A Novel Form of Information Description for Buildings

Yang Qiliang, Xing Jianchun

Strategic Study of CAE 2023, Volume 25, Issue 5,   Pages 222-232 doi: 10.15302/J-SSCAE-2023.07.027

Abstract: More realistic and efficient description and sharing of building information has always been an between virtual and real building conditions, this study proposes a novel form of information descriptionbuilding basic information model, a physical model, and an interaction model, and unifies the description

Keywords： architectural information description     information modeling technology     building information model     digital    

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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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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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Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation Research Articles

Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1133-1146 doi: 10.1631/FITEE.1800025

Abstract: (SRC), generally use an individual representation rather than all the samples to classify the test dataTo address these problems, we propose a novel classifier, called the kernel joint representation classifier(KJRC), for FH transmitter fingerprint feature recognition, by integrating kernel projection, collaborative

Keywords： Frequency-hopping     Fingerprint feature     Kernel function     Joint representation     Transmitter recognition    

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A survey of malware behavior description and analysis Review

Bo YU, Ying FANG, Qiang YANG, Yong TANG, Liu LIU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 583-603 doi: 10.1631/FITEE.1601745

Abstract: In this paper, we conduct a survey on malware behavior description and analysis considering three aspects: malware behavior description, behavior analysis methods, and visualization techniques.First, existing behavior data types and emerging techniques for malware behavior description are explored

Keywords： Malware behavior     Static analysis     Dynamic Analysis     Behavior data expression     Behavior analysis     Machine    

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Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation None

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 471-480 doi: 10.1631/FITEE.1620342

Abstract: We propose a fully automatic brain tumor segmentation method based on kernel sparse coding.In this method, MRI images are pre-processed first to reduce the noise, and then kernel dictionary learningA kernel-clustering algorithm based on dictionary learning is developed to code the voxels.

Keywords： Brain tumor segmentation     Kernel method     Sparse coding     Dictionary learning    

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A quality requirements model and verification approach for system of systems based on description logic Article

Qing-long WANG,Zhi-xue WANG,Ting-ting ZHANG,Wei-xing ZHU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 346-361 doi: 10.1631/FITEE.1500309

Abstract: Then a concise algorithm transforms the fuzzy UML models into the description logic (DL) ontology so

Keywords： System of systems (SoS)     Cloud model     Description logic (DL)     Requirements verification    

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Research and establishment of enterprise quality metadata standard

SONG Han, LI Jie, ZHANG Genbao

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 106-110 doi: 10.1007/s11465-008-0019-0

Abstract: Enabling quality managers to utilize and manage quality data efficiently under modern quality managementthis paper, which can help quality managers gain a deeper understanding of various features of quality dataand establish a more stable foundation for further use and management of such data.of establishing quality metadata standards is emphasized in the paper, and the content structure and description

Keywords： enterprise quality     foundation     description     quality management     primary    

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Potential hybrid feedstock for biodiesel production in the tropics

Solomon GIWA,Oludaisi ADEKOMAYA,Collins NWAOKOCHA

Frontiers in Energy 2016, Volume 10, Issue 3,   Pages 329-336 doi: 10.1007/s11708-016-0408-8

Abstract: The tropics are renowned for abundant oil-bearing crops of which palm kernel oil (PKO) from palm seed

Keywords： groundnut oil     palm kernel oil     methyl ester     fuel properties     tropics     fatty acid composition    

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Title Author Date Type Operation

A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

Shi-jin REN,Yin LIANG,Xiang-jun ZHAO,Mao-yun YANG

Journal Article

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

Journal Article

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

Development of soft kernel durum wheat

Craig F. MORRIS

Journal Article

Unified description of sand behavior

Feng ZHANG, Bin YE, Guanlin YE

Journal Article

Outliers detection algorithm based on nonlinear data transformation

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

Journal Article

Building Information and Physical Model: A Novel Form of Information Description for Buildings

Yang Qiliang, Xing Jianchun

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

Image quality assessmentmethod based on nonlinear feature extraction in kernel space

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

Journal Article

Frequency-hopping transmitter fingerprint feature recognition with kernel projection and joint representation

Ping SUI, Ying GUO, Kun-feng ZHANG, Hong-guang LI

Journal Article

A survey of malware behavior description and analysis

Bo YU, Ying FANG, Qiang YANG, Yong TANG, Liu LIU

Journal Article

Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Journal Article

A quality requirements model and verification approach for system of systems based on description logic

Qing-long WANG,Zhi-xue WANG,Ting-ting ZHANG,Wei-xing ZHU

Journal Article

Research and establishment of enterprise quality metadata standard

SONG Han, LI Jie, ZHANG Genbao

Journal Article

Potential hybrid feedstock for biodiesel production in the tropics

Solomon GIWA,Oludaisi ADEKOMAYA,Collins NWAOKOCHA

Journal Article