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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    

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    

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 andIt is supposed that in feature space the eigenvectors may be linearly expressed by a part of trainingIKPCA 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    

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 the

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

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    

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 stillbounded on the Triebel-Lizorkin space.

Keywords: Marcinkiewicz integral     Triebel-Lizorkin spaces    

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: non-stability characteristics, which make it difficult to guarantee the classification in the original signal spaceTo 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    

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    

The “Tiangong” Chinese Space Station project

Yang HONG

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 278-283 doi: 10.15302/J-FEM-2018202

Keywords: manned space station     space station project     basic design    

Application and development of modern long-span space structures in China

Shilin DONG, Yang ZHAO, Dong XING

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 224-239 doi: 10.1007/s11709-012-0166-6

Abstract: Modern long-span space structures, developed during the 1970s and 1980s, are light and effective structuresFor the premodern space structures widely used since the mid-twentieth century (such as thin shells,space trusses, lattice shells and ordinary cable structures), new space structures have been developedstructures, including composite space trusses, open-web grid structures, polyhedron space frame structuresstructures, modern flexible space structures and modern rigid-flexible combined space structures.

Keywords: modern long-span space structures     rigid space structures     flexible space structures     rigid-flexible combinedspace structures     application and development    

Coordinated Development of Space Science, Space Technology, and Space Application in China

Zhou Jianping, Wu Ji

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 59-66 doi: 10.15302/J-SSCAE-2023.02.007

Abstract: historical reasons and investment restrictions, China’s aerospace industry initially focused on spacetechnology and application, with insufficient emphasis on space science; therefore, space science The development of space technology should be deeply integrated into space science and applicationThis study explores the implications of space science, space technology, and space application andworldwide and reviews the development situation of space-related fields in China.

Keywords: aerospace industry     space science     space technology     space application     coordinated development     sharingof space data    

Exploration and research of space physics and space weather

Wang Chi

Strategic Study of CAE 2008, Volume 10, Issue 6,   Pages 41-45

Abstract:

Space physics is a fast-growing cross-discipline science with the advanceSpace environment is becoming more and more important as the fourth living environment for human beingStarting from the early 1990s, space weather is born by applying the fundamentals of space physics toon our high-tech systems on the earth and in space.physics and space weather exploration and study, and introduces the suggested space physics and space

Keywords: space physics     space weather     space physics exploration     strategic plan    

Research Status and Future Development of Deep Space Security

Wu Ke, Zhang Zhe, Yang Wenfei, He Jianfeng, Zhang Tianzhu, Jian Kangkang, Wu Weiren

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 240-248 doi: 10.15302/J-SSCAE-2022.04.023

Abstract: of four key deep space security issues: space radiation threat, planetary protection, space heritage, deep-space activities, and deep-space environmental threats.Deep-space security focuses on the four key issues, namely space radiation, planetary protection, spacespan>): (1) Deep-space resources include deep-space assets such as deep-space probes, Earth–moonthreat to the space activities of astronauts and the safe operation of space equipment in deep-space

Keywords: deep space security     space radiation threat     planetary protection     space heritage protection     space legislation    

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    

Fabrication of bimetallic Cu–Zn adsorbents with high dispersion by using confined space for gas adsorptive

Frontiers of Chemical Science and Engineering   Pages 1623-1631 doi: 10.1007/s11705-022-2202-y

Abstract: Here, we report a simple but efficient strategy for dispersing active components by using a confined spaceSuch a confined space does not exist in the conventional support, calcined SBA-15, which does not containThe Cu and Zn precursors were introduced to the confined space in the AS and were converted to CuO andConfined space in the AS and the strong interactions caused by the abundant hydroxyl groups are responsible

Keywords: bimetallic adsorbents     confined space     mesoporous silica     propene/propane separation    

Title Author Date Type Operation

Image quality assessmentmethod based on nonlinear feature extraction in kernel space

Yong DING,Nan LI,Yang ZHAO,Kai HUANG

Journal Article

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

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

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

Boundedness of Marcinkiewicz integralwith rough kernel onTriebel-Lizorkin spaces

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

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

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

The “Tiangong” Chinese Space Station project

Yang HONG

Journal Article

Application and development of modern long-span space structures in China

Shilin DONG, Yang ZHAO, Dong XING

Journal Article

Coordinated Development of Space Science, Space Technology, and Space Application in China

Zhou Jianping, Wu Ji

Journal Article

Exploration and research of space physics and space weather

Wang Chi

Journal Article

Research Status and Future Development of Deep Space Security

Wu Ke, Zhang Zhe, Yang Wenfei, He Jianfeng, Zhang Tianzhu, Jian Kangkang, Wu Weiren

Journal Article

Potential hybrid feedstock for biodiesel production in the tropics

Solomon GIWA,Oludaisi ADEKOMAYA,Collins NWAOKOCHA

Journal Article

Fabrication of bimetallic Cu–Zn adsorbents with high dispersion by using confined space for gas adsorptive

Journal Article