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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: A local discriminant regularized soft -means (LDRSKM) method with Bayesian inference is proposed forLDRSKM extends the regularized soft -means algorithm by exploiting the local and non-local geometricinformation of the data and generalized linear discriminant analysis to provide a better and more meaningfulLDRSKM can perform clustering and subspace selection simultaneously, enhancing the separability of dataBased on clustering analysis, Bayesian inference and manifold learning methods, the within and cross-mode

Keywords： Multimode process monitoring     Local discriminant regularized soft k-means clustering     Kernel support    

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A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 74-79

Abstract:

K-means algorithm is one of common clustering algorithms,  but the In this paper,  a hierarchical-based initialization approach is proposed for K-Means algorithm The general clustering problem is treated as weighted clustering problem,  the original data Then clustering is carried out at each level by top-down.and is insensitive to noise,  which is superior to some existing clustering algorithms.

Keywords： hierarchical technique     initial cluster centers     weighted data     K-means clustering    

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Application of

Weifang SHI, Weihua ZENG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 117-127 doi: 10.1007/s11783-013-0581-5

Abstract: study presents a new zoning method by determining and categorizing the risk characteristics using the -meansclustering data mining technology.Nanjing Chemical Industrial Park using a 100 m × 100 m mesh grid as the basic zoning unit, and then use -meansclustering to analyze the environmental risk in the area.The clustering result with the optimal clustering number is then used for the environmental risk zoning

Keywords： environmental risk zoning     k-means clustering     silhouette coefficient     chemical industrial    

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Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 212-223 doi: 10.1631/FITEE.1500255

Abstract: However, the extracted features also have overlapping discriminant information.of the statistical uncorrelated criterion is that it eliminates the redundancy among the extracted discriminantIn this paper, we introduce a novel feature extraction method called local uncorrelated local discriminantThe proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework inFirst, a new local statistical uncorrelated criterion is proposed, which effectively captures the local

Keywords： Feature extraction     Local discriminant embedding     Local uncorrelated criterion     Face recognition    

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A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: The results from the ON-OFF pairing algorithm were further clustered in groups utilizing the -meansclustering analysis.The -means clustering were implemented as an unsupervised learning methodology for the clustering analysisduration an electrical appliance is turned ON through combination of event detection, ON-OFF pairing and -meansclustering.

Keywords： non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering    

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A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing Article

Yaoyao Bao, Yuanming Zhu, Feng Qian

Engineering 2022, Volume 18, Issue 11,   Pages 186-196 doi: 10.1016/j.eng.2022.04.025

Abstract: Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes the localBased on the hypothesis of local quadratic interpolation, the algorithm introduces two lightweight NNs; one is used to learn the coefficient matrix in the local quadratic model, and the other is implementedfor weight assignment for the prediction results obtained from different local neighbors.the two sub-models are embedded in a unified regression framework, and the parameters are learned by means

Keywords： Local quadratic embedding     Metric learning     Regression machine     Soft sensor    

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A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 49-53

Abstract: In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implemented

Keywords： two-dimensional linear discriminant analysis(2DLDA)     fuzzy two-dimensional linear    

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Technological lubricating means: Evolution of materials and ideas

Vladimir A. GODLEVSKIY

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 101-107 doi: 10.1007/s11465-016-0369-y

Abstract:

The main stages of technological lubricating material development from ancient times to date are described. How the chemical composition of these products changed with time, how new ideas revealing the physical and chemical basics of external media that influence the mechanical processing of materials appeared, how these ideas explained the differences between traditional tribology and specific technology of metal processing are discussed. The question of the possible realization of Rehbinder’s adsorption effect in contact zone is also stated. The description of a very captivating problem is related to the explanation of the mechanism of lubricant penetration into the contact zone between the material being processed and the tool. The birth and development of the hypothesis of microcapillary penetration of the lubricant into the dynamically changed intersurface clearance that has finally led to formulating the “necessary kinetic condition of the lubricating activity” is relayed.

Keywords： technological lubrication and cooling     metal cutting     grinding     lubrication action     tribology    

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Cloud-Model-Based Feature Engineering to Analyze the Energy–Water Nexus of a Full-Scale Wastewater Treatment Plant

Shan-Shan Yang,Xin-Lei Yu,Chen-Hao Cui,Jie Ding,Lei He,Wei Dai,Han-Jun Sun,Shun-Wen Bai,Yu Tao,Ji-Wei Pang,Nan-Qi Ren,

Engineering doi: 10.1016/j.eng.2022.02.011

Abstract: CMECA) of a WWTP was conducted to explore the relationship between influent and energy consumption by clusteringThe principal component analysis (PCA) and K-means clustering were applied to classify the influent conditionThe days with high energy efficiency were extracted via the clustering method from the influent categoryThe local WWTP has high energy consumption with 0.3613 kW·h·m−3 despite low influent concentration andinternal reflux ratio, and external reflux ratio during high energy efficiency days recognized by further clustering

Keywords： Wastewater treatment plants     Cloud-model theory     Data mining     Principal component analysis     K     -means clustering    

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An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: classification of complicated mechanical faults, an approach to multi-faults classification based on generalized discriminantCompared with linear discriminant analysis (LDA), generalized discriminant analysis (GDA), one of nonlineardiscriminant analysis methods, is more suitable for classifying the linear non-separable problem.

Keywords： generalized discriminant     non-separable     abnormality     classification     multi-faults classification    

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Generalized labeled multi-Bernoulli filter with signal features of unknown emitters Research Article

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1871-1880 doi: 10.1631/FITEE.2200286

Abstract:

A novel algorithm that combines the (GLMB) filter with signal features of the unknown emitter is proposed in this paper. In complex electromagnetic environments, emitter features (EFs) are often unknown and time-varying. Aiming at the unknown feature problem, we propose a method for identifying EFs based on of data fields. Because EFs are time-varying and the probability distribution is unknown, an improved algorithm is proposed to calculate the correlation coefficients between the target and measurements, to approximate the EF likelihood function. On this basis, the EF likelihood function is integrated into the recursive GLMB filter process to obtain the new prediction and update equations. Simulation results show that the proposed method can improve the tracking performance of multiple targets, especially in heavy clutter environments.

Keywords： Multi-target tracking     Generalized labeled multi-Bernoulli     Signal features of emitter     Fuzzy C-means     Dynamic clustering    

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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: There 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 CharacterizationSystem (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

Keywords： soft durum wheat     grain hardness     puroindolines     milling     baking     pasta     noodles    

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High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 406-416 doi: 10.1007/s11709-018-0475-5

Abstract: We approximate the fracture surface energy functional based on phase-field method with smooth local maximum

Keywords： second-order maximum entropy     local maximum entropy     second- and fourth-order phase-field models     B-spline    

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Flux-free brazing of Mg-containing aluminium alloys by means of cold spraying

BOBZIN Kirsten, ZHAO Lidong, ERNST Felix, RICHARDT Katharina

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 355-359 doi: 10.1007/s11465-008-0055-9

Abstract: In the present study, AlSi12 and AlSi10Cu4 were deposited onto Mg-containing aluminium alloys 6063 and 5754 by cold spraying. The influences of the two brazing alloys and spray parameters on coating formation were investigated. The microstructure of the coatings was characterized. Some coated samples were heat-treated at 590°C and 560°C in air to investigate the effect of the rupture of oxide scales on the diffusion of elements during heat-treatment. Some coated samples were brazed under argon atmosphere without any fluxes. The results show that AlSi12 had much better deposition behaviour than AlSi10Cu4. Due to the rupture of oxide scales, Cu and Si diffused into the substrate and a metallurgical bond formed between the brazing alloys and the substrates during heat-treatment. The coated samples could be brazed without any fluxes. Because the oxide scales prevented the formation of a metallurgical bond locally, the brazed samples had relatively low shear strengths of up to 43 MPa.

Keywords： diffusion     metallurgical     substrate     Mg-containing aluminium     spraying    

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Making central-local relations work: Comparing America and China environmental governance systems

Dan GUTTMAN, SONG Yaqin

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 4,   Pages 418-433 doi: 10.1007/s11783-007-0068-3

Abstract: The challenge of making central requirements work at local levels is a common problem for environmentalCountries can learn from one another s approaches, but must understand the local context in w
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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

A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Journal Article

Application of

Weifang SHI, Weihua ZENG

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Journal Article

A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing

Yaoyao Bao, Yuanming Zhu, Feng Qian

Journal Article

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Journal Article

Technological lubricating means: Evolution of materials and ideas

Vladimir A. GODLEVSKIY

Journal Article

Cloud-Model-Based Feature Engineering to Analyze the Energy–Water Nexus of a Full-Scale Wastewater Treatment Plant

Shan-Shan Yang,Xin-Lei Yu,Chen-Hao Cui,Jie Ding,Lei He,Wei Dai,Han-Jun Sun,Shun-Wen Bai,Yu Tao,Ji-Wei Pang,Nan-Qi Ren,

Journal Article

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Journal Article

Generalized labeled multi-Bernoulli filter with signal features of unknown emitters

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Journal Article

Development of soft kernel durum wheat

Craig F. MORRIS

Journal Article

High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Journal Article

Flux-free brazing of Mg-containing aluminium alloys by means of cold spraying

BOBZIN Kirsten, ZHAO Lidong, ERNST Felix, RICHARDT Katharina

Journal Article

Making central-local relations work: Comparing America and China environmental governance systems

Dan GUTTMAN, SONG Yaqin

Journal Article