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Visualization of amino acid composition differences between processed protein from different animal species by self-organizingfeature maps

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 2,   Pages 171-179 doi: 10.15302/J-FASE-2016095

Abstract: In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish

Keywords： self-organizing feature maps     visualization     processed animal proteins (PAPs)     amino acid    

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Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 283-287 doi: 10.1007/s11465-008-0044-z

Abstract: of progress relation between the two subtasks on the whole task’s progress, and then puts forward a self-organizingSimulation shows the validity of the algorithm on self-organizing task allocation in a multi-robot system

Keywords： algorithm     self-organizing principle     validity     Simulation     allocation    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: ., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactorsThe model is comprised of self-organizing-map and the neural network parts.The self-organizing-map part maps the input data into multiple two-dimensional planes and sends themstructure predicts more accurately the product yields and properties than the previously introduced self-organizing-map

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Simulationmodel of self-organizing pedestrianmovement considering following behavior Article

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1142-1150 doi: 10.1631/FITEE.1601592

Abstract: A new force is introduced in the social force model (SFM) for computing following behavior in pedestrian counterflow, whereby an individual tries to approach others in the same direction to avoid conflicts with pedestrians from the opposite direction. The force, like a kind of gravitation, is modeled based on the movement state and visual field of the pedestrian, and is added to the classical SFM. The modified model is presented to study the impact of following behavior on the process of lane formation, the conflict, the number of lanes formed, and the traffic efficiency in the simulations. Simulation results show that the following behavior has a significant effect on the phenomenon of lane formation and the traffic efficiency.

Keywords： Gravitation     Pedestrian counterflow     Social force model (SFM)     Lane formation     Self-organizing    

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on the credit classification of practicing qualification personnel in construction market based on self-organizing

Fang Zhiqing,Wang Xueqing,Li Baolong

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 105-108

Abstract: characters of the practicing qualification personnel in construction market, evaluation method based on the self-organizingThen a self-organizing competitive neural network is built.

Keywords： practicing qualification personnel     credit     cluster analysis     self-organizing neural network    

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Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 81-84

Abstract: data acquisition system is constructed, which is combined with the pattern recognition techniques of selforganizing competitive network for the research of gas qualitative analysis.

Keywords： gas sensor array     self organizing competitive network     qualitative analysis    

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Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Article

Zhengtao Gan, Hengyang Li, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, Jian Cao, Wing Kam Liu

Engineering 2019, Volume 5, Issue 4,   Pages 730-735 doi: 10.1016/j.eng.2019.03.014

Abstract: properties (PSP) linkages, the simulation and experimental datasets are input to a data-mining model—a self-organizingdesign windows of the process parameters under multiple objectives can be obtained from the visualized maps

Keywords： Additive manufacturing     Data science     Multiphysics modeling     Self-organizing map     Microstructure     Microhardness    

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Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment Special Feature on Intelligent Robats

Da-qi ZHU, Yun QU, Simon X. YANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 330-341 doi: 10.1631/FITEE.1800562

Abstract: An improved self-organizing neural network task allocation model of multiple autonomous underwater vehicles

Keywords： Autonomous underwater vehicles     Self-organizing neural networks     Azimuths     Ocean current    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Therefore, a fault detection method based on self-supervised feature learning was proposed to addressFirst, self-supervised learning was employed to extract features under various working conditions onlyThe self-supervised representation learning uses a sequence-based Triplet Loss.A comprehensive comparison study was also conducted with various feature extractors and unary classifiersmodel can detect progressive faults very quickly and achieve improved results for comparison without feature

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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The effects of mismatch fracture properties in encapsulation-based self-healing concrete using cohesive-zone

Luthfi Muhammad MAULUDIN, Chahmi OUCIF, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 792-801 doi: 10.1007/s11709-020-0629-0

Abstract: Finite element analysis is developed to simulate the breakage of capsule in capsule-based self-healingout to investigate the key features on the fracture patterns of the capsule and produce the fracture mapsThe developed fracture maps of capsules present a simple but valuable tool to assist the experimentalistsin designing appropriate capsule materials for self-healing concrete.

Keywords： self-healing concrete     interfacial zone     capsule materials     cohesive elements     fracture maps    

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Scientific significance of ancient maps of Yellow River and Grand Canal for water conservancy in China

Xiaocong LI,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 445-454 doi: 10.1007/s11709-009-0063-9

Abstract: Based on the study of ancient maps preserved in China and abroad, the systematic nature and practicalmeaning of the maps of the Yellow River and Grand Canal is demonstrated.It is pointed out that the ancient maps not only record the spatial information of the established waterBesides, the maps provide abundant information on nature, humanity, and geography and possess high value

Keywords： information     management     established     appreciation     practical    

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph featureeffectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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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: dynamic operating data set with steep slope signals is created based on physics equations and then a featuresimilarity-based learning model with an encoder and a decoder is built and trained to achieve feature

Keywords： gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

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Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsThe weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchyThe measured average sampling surface roughness of the most crucial feature of the bracket in the original

Keywords： selective laser melting (SLM)     build orientation determination     multi-feature mechanical part (MFMP)    

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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: It can extract nonlinear feature components of samples.However, feature extraction for one sample requires that kernel functions between training samples andSo, the size of training sample set affects the efficiency of feature extraction.It 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    

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Title Author Date Type Operation

Visualization of amino acid composition differences between processed protein from different animal species by self-organizingfeature maps

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Simulationmodel of self-organizing pedestrianmovement considering following behavior

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

Journal Article

on the credit classification of practicing qualification personnel in construction market based on self-organizing

Fang Zhiqing,Wang Xueqing,Li Baolong

Journal Article

Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Journal Article

Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing

Zhengtao Gan, Hengyang Li, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, Jian Cao, Wing Kam Liu

Journal Article

Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment

Da-qi ZHU, Yun QU, Simon X. YANG

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

The effects of mismatch fracture properties in encapsulation-based self-healing concrete using cohesive-zone

Luthfi Muhammad MAULUDIN, Chahmi OUCIF, Timon RABCZUK

Journal Article

Scientific significance of ancient maps of Yellow River and Grand Canal for water conservancy in China

Xiaocong LI,

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

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

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article