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-means clustering 1

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Optimal CNN-based semantic segmentation model of cutting slope images

Frontiers of Structural and Civil Engineering   Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: slope images, the networks are compared from three aspects: a) different neural networks, b) different featureThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords： slope damage     image recognition     semantic segmentation     feature map     visualizations    

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Featurematching using quasi-conformalmaps Article

Chun-xue WANG, Li-gang LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 644-657 doi: 10.1631/FITEE.1500411

Abstract: Given a set of candidate matches provided by scale-invariant feature transform (SIFT) descriptors, whichas a constrained optimization involving both the Beltrami coefficient (BC) term and quasi-conformal map

Keywords： Feature correspondence     Quasi-conformal map     Splitting method    

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

Frontiers of Chemical Science and Engineering 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 thempredicts 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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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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Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Strategic Study of Chinese Academy of Engineering 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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composition differences between processed protein from different animal species by self-organizing feature

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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A bacterial artificial chromosome-based physical map of

Yuhua FU,Zhiqiang XIA,Shujuan WANG,Xin CHEN,Cheng LU,Mingcheng LUO,Hongbin ZHANG,Wenquan WANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 4,   Pages 321-329 doi: 10.15302/J-FASE-2016124

Abstract: A total of 29952 clones were fingerprinted and resulted in a cassava physical map composed of 2485 contigsThis BAC-based physical map provides valuable tools to understand the genetics and evolution of cassava

Keywords： cassava     BAC library     physical map    

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Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Strategic Study of Chinese Academy of Engineering 2019, Volume 21, Issue 3,   Pages 92-97 doi: 10.15302/J-SSCAE-2019.03.004

Abstract: style="text-align: justify;">As a key infrastructure to realize autonomous driving, autonomous driving mapCurrently, constrained by laws and regulations related to ground mapping, map application, and supervisiongeographic information expression, qualifications for geographic information collection and the process for mapreview, accident liability and insurance issues, as well as autonomous driving map related test specificationsdevelopment and commercialization of autonomous driving vehicles in China: formulating an autonomous driving map

Keywords： autonomous driving map     autonomous driving regulation     autonomous driving policy    

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Map Update in Raster Mode by Means of Aerial and Space Images

Lin Zongjian

Strategic Study of Chinese Academy of Engineering 2000, Volume 2, Issue 4,   Pages 43-47

Abstract:

To meet the urgent needs of updating 1：10 000 scale and 1 ：50 000 scale topographic map for the wholeof China, an integrated techinique for key elements revision is proposed, in which the topographic mapraster mode through overlaying the precisely geo-rectified aerial or satellite image on the digitized mapThe following issues are specially presented： 1) The scanning resolution of topographic map digitization

Keywords： surveying and mapping     remote sensing     map updating     digital raster graphic (DRG)    

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Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 892-900 doi: 10.1007/s11783-012-0440-9

Abstract: experiments were carried out to determine the optimal conditions enhancing the magnesium ammonium phosphate (MAPThe residues of MAP sediments decomposed by heating under alkaline conditions can be reused as the sourceshigh concentrations of , and up to 90% of ammonium could be released under molar ratio of n[OH]∶n[MAP

Keywords： magnesium ammonium phosphate precipitation     mature landfill leachate     optimization     ammonium-nitrogen    

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Optimization of fuel supply map during starting process of electronic controlled diesel engine

LIANG Jinguang, YU Xiumin, GAO Yue, WANG Yunkai, YU Hongyang, Gong Baoli

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 410-415 doi: 10.1007/s11708-008-0080-8

Abstract: Tests were conducted to study influence of fuel supply map during the starting process of an electronicThe calibration process of starting fuel supply map was educed under the principle of low HC emissionThe calibration methods of starting fuel supply map were obtained.

Keywords： supply     management     CA498Z     process     controlled distributor    

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: several unique characteristics: Complex frequency components, low signal-to-noise ratio, and weak fault featureAiming to extract the fault feature of planet gear effectively, we propose a novel feature extractioncollected from the wind turbine gearbox test rig demonstrate that the proposed method is effective at the feature

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 358-366 doi: 10.1631/FITEE.1400323

Abstract: In this paper, we apply several unsupervised feature learning algorithms (including -means clustering

Keywords： Speech emotion recognition     Unsupervised feature learning     Neural network     Affect computing    

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A road-map for energy-neutral wastewater treatment plants of the future based on compact technologies

Hallvard Ødegaard

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0835-0

Abstract: In the paper concepts for wastewater treatment of the future are discussed by the use of a) one flow diagram based on established, compact, proven technologies (i.e. nitrification/denitrification for N-removal in the mainstream) and b) one flow diagram based on emerging, compact technologies (i.e. de-ammonification in the main stream).The latter (b) will give an energy-neutral wastewater treatment plant, while this cannot be guaranteed for the first one (a). The example flow diagrams show plant concepts that a) minimize energy consumption by using compact biological and physical/chemical processes combined in an optimal way, for instance by using moving bed biofilm reactor (MBBR) processes for biodegradation and high-rate particle separation processes, and de-ammonification processes for N-removal and b)maximize energy (biogas) production through digestion by using wastewater treatment processes that minimize biodegradation of the sludge (prior to digestion) and pretreatment of the sludge prior to digestion by thermal hydrolysis. The treatment plant of the future should produce a water quality (for instance bathing water quality) that is sufficient for reuse of some kind (toilet flushing, urban use, irrigation etc.). The paper outlines compact water reclamation processes based on ozonation in combination with coagulation as pretreatment before ceramic membrane filtration. In the paper concepts for domestic wastewater treatment plants of the future are discussed by the use of a) one flow diagram based on established, compact, proven technologies (i.e. nitrification/denitrification for N-removal in the mainstream) and b) one flow diagram based on emerging, compact technologies (i.e. de-ammonification in the main stream).The latter (b) will give an energy-neutral wastewater treatment plant, while this cannot be guaranteed for the first one (a). The example flow diagrams show plant concepts that a) minimize energy consumption by using compact biological and physical/chemical processes combined in an optimal way, for instance by using moving bed biofilm reactor (MBBR) processes for biodegradation and high-rate particle separation processes, and de-ammonification processes for N-removal and b)maximize energy (biogas) production through digestion by using wastewater treatment processes that minimize biodegradation of the sludge (prior to digestion) and pretreatment of the sludge prior to digestion by thermal hydrolysis. The treatment plant of the future should produce a water quality (for instance bathing water quality) that is sufficient for reuse of some kind (toilet flushing, urban use, irrigation etc.). The paper outlines compact water reclamation processes based on ozonation in combination with coagulation as pretreatment before ceramic membrane filtration.

Keywords： China concept WWTP     Energy-neutrality     De-ammonification     moving bed biofilm reactor (MBBR)    

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Title Author Date Type Operation

Optimal CNN-based semantic segmentation model of cutting slope images

Journal Article

Featurematching using quasi-conformalmaps

Chun-xue WANG, Li-gang LIU

Journal Article

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

Journal Article

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

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

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

A bacterial artificial chromosome-based physical map of

Yuhua FU,Zhiqiang XIA,Shujuan WANG,Xin CHEN,Cheng LU,Mingcheng LUO,Hongbin ZHANG,Wenquan WANG

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

Map Update in Raster Mode by Means of Aerial and Space Images

Lin Zongjian

Journal Article

Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Journal Article

Optimization of fuel supply map during starting process of electronic controlled diesel engine

LIANG Jinguang, YU Xiumin, GAO Yue, WANG Yunkai, YU Hongyang, Gong Baoli

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Journal Article

A road-map for energy-neutral wastewater treatment plants of the future based on compact technologies

Hallvard Ødegaard

Journal Article