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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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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 geometricLDRSKM 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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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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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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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 categoryinternal 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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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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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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Generating native user interfaces formultiple devices by means ofmodel transformation

Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 995-1017 doi: 10.1631/FITEE.1500083

Abstract: To address this issue, we propose the generation of native user interfaces (UIs) by means of model transformations

Keywords： Model-to-model transformation     Native user interfaces     Model-based user interfaces     Model-driven engineering    

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An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognitionFor a clustering problem with n samples, it needs to compute the eigenvectors of the graph Laplacianmethods, i.e., power iteration clustering and landmark-based spectral clustering, on 10 real-world applicationsExperimental results show that ASC is consistently faster than the classical spectral clustering withcomparable clustering performance, and at least comparable with or better than the state-of-the-art

Keywords： Clustering     Spectral clustering     Graph Laplacian     Anchors    

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A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 449-456 doi: 10.1631/FITEE.1400377

Abstract: In existing stratified sampling methods, however, all the pages in a website need to be analyzed for clusteringTo address this issue, we propose a novel page sampling method based on URL clustering for web accessibility

Keywords： Page sampling     URL clustering     Web accessibility evaluation    

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presenteddetect the fuzzy edge and exiguous edge but can evidently improve the searching efficiency of fuzzy clustering

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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Best operating conditions to produce hydroxyapatite nanoparticles by means of a spinning disc reactor

A. F. D’ Intino,B. de Caprariis,M.L. Santarelli,N. Verdone,A. Chianese

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 2,   Pages 156-160 doi: 10.1007/s11705-014-1427-9

Abstract: In this work, Mg doped hydroxyapatite (Mg-HAP) nanoparticles were produced by a reaction-precipitation process by using a spinning disc reactor (SDR) at high rotational speed. The production process of these nanoparticles consisted of the neutralization reaction between two aqueous solutions of calcium chloride and ammonia orthophosphate at room temperature. By operating at pH= 10, a high purity Mg-HAP nanoparticles were obtained. In particular, they were 51 nm in average size when the two reagents were fed over the disc symmetrically at 3 cm from the disc center and a rotational speed of the disc reactor equal to 1400 r/min was adopted.

Keywords： hydroxyapatite     nanoparticles     spinning disc reactor    

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The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 65-68

Abstract: certainly qualitative, fuzzy, non-numerical, assembly sequence is regarded as a gray system, and grey clusteringThis paper analyzes the gray classification of the influence factor and studies grey clustering decision

Keywords： assembly sequence     petri net     grey clustering decision method    

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TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data None

Rabia IRFAN, Sharifullah KHAN, Kashif RAJPOOT, Ali Mustafa QAMAR

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 763-782 doi: 10.1631/FITEE.1700517

Abstract: It serves as a layer over an existing clustering-based taxonomy generation technique and allows an existing

Keywords： Taxonomy     Clustering algorithms     Information science     Knowledge management     Machine learning    

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Title Author Date Type Operation

A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Journal Article

A novel multimode process monitoring method integrating LDRSKM with Bayesian inference

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

Journal Article

Application of

Weifang SHI, Weihua ZENG

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

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

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

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

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

Generating native user interfaces formultiple devices by means ofmodel transformation

Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

A sampling method based on URL clustering for fast web accessibility evaluation

Meng-ni ZHANG,Can WANG,Jia-jun BU,Zhi YU,Yu ZHOU,Chun CHEN

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Journal Article

Best operating conditions to produce hydroxyapatite nanoparticles by means of a spinning disc reactor

A. F. D’ Intino,B. de Caprariis,M.L. Santarelli,N. Verdone,A. Chianese

Journal Article

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Journal Article

TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data

Rabia IRFAN, Sharifullah KHAN, Kashif RAJPOOT, Ali Mustafa QAMAR

Journal Article