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Modular architecture model of CSCD system

Hongxue XU, Hong ZHENG, Xiuying GUO

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 470-475 doi: 10.1007/s11465-010-0119-5

Abstract: the hierarchical structure characteristics of a distributed collaborative design system and advanced componentobject technology.model mainly regards the module as the core organizing and managing design objects and uses the common objectrequest broker architecture (CORBA) specifications as an interactive platform to achieve object communication

Keywords： computer-supported cooperative work (CSCW)     computer-supported collaborative design (CSCD)     distributed system     componentobject technology     modular architecture model    

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Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 108-115 doi: 10.1007/s11465-016-0363-4

Abstract: computer technologies attract a greater number of young people to explore the history of science and technology

Keywords： 3D document     history of science and technology     technical knowledge     popularization     virtual environment    

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Design and Implementation of Bank's International Trade Financing System Using Component Technology

Yu Jinshan,Chen Zhiqiang

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 81-87

Abstract: The appropriate and sophisticated software method and technology are needed to build a computer systemThis paper presents a methodology based on semi-finished component model, and addresses a technique tobus interface, a system framework with menu/icon GUI for general controlling, and clusters of basic objectThe basic object components can be grouped, wrapped, assembled into main frame and customized to produce

Keywords： banking     international trade financing system     component     semi-finished system    

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Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 138-143 doi: 10.1007/s11708-013-0283-5

Abstract: Spectral technology has become an important detection method due to its advantages such as non-intrusiveIn this paper, two applications of spectral technology in thermal detection were proposed.

Keywords： spectrum     emissivity measurement     component of fuel     near-infrared spectrometer    

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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 76-84 doi: 10.1007/s11465-018-0522-x

Abstract: With a beam problem as a case study, this study explores a feasible way to re-evaluate the componentreliability with new Loads given the following information: The original reliability of the componentwith respect to the component Loads and the distributions of the new component Loads.the component failure under the new Loads.Since the information is limited, the re-evaluated component reliability is given by its maximum and

Keywords： reliability     component     failure mode     prediction     random variable    

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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: Robust object tracking has been an important and challenging research area in the field of computer vision

Keywords： Object tracking     Sparse learning     Depth view     Occlusion templates     Occlusion detection    

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Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Given the complexity of power grids, the failure of any component may cause large-scale economic losses

Keywords： resilience measure     power grid     importance measure     component recovery    

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modeling on improved performance of an innovative method of using heave response of a non-floating object

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 279-287 doi: 10.1007/s11708-013-0268-4

Abstract: Up to the present, no studies have been done to harness ocean waves using a non-floating object and toIn the present paper, an innovative heaving body type of wave energy converter with a non-floating object

Keywords： ocean wave energy     point absorbers     heaving body     non-floating object     heave response ratio     artificial neural    

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Molecular level simulations on multi-component systems —a morphology prediction method

C. SCHMIDT, J. ULRICH

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 1,   Pages 49-54 doi: 10.1007/s11705-013-1307-8

Abstract: prediction because the investigation on the face growth rates in a complex growth environment (as multi-component

Keywords： crystallization     morphology     molecular dynamics     solution    

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Robust optimization of the billet for isothermal local loading transitional region of a Ti-alloy rib-web component

Ke WEI, Xiaoguang FAN, Mei ZHAN, Miao MENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 376-384 doi: 10.1007/s11465-018-0500-3

Abstract:

Billet optimization can greatly improve the forming quality of the transitional region in the isothermal local loading forming (ILLF) of large-scale Ti-alloy rib-web components. However, the final quality of the transitional region may be deteriorated by uncontrollable factors, such as the manufacturing tolerance of the preforming billet, fluctuation of the stroke length, and friction factor. Thus, a dual-response surface method (RSM)-based robust optimization of the billet was proposed to address the uncontrollable factors in transitional region of the ILLF. Given that the die underfilling and folding defect are two key factors that influence the forming quality of the transitional region, minimizing the mean and standard deviation of the die underfilling rate and avoiding folding defect were defined as the objective function and constraint condition in robust optimization. Then, the cross array design was constructed, a dual-RSM model was established for the mean and standard deviation of the die underfilling rate by considering the size parameters of the billet and uncontrollable factors. Subsequently, an optimum solution was derived to achieve the robust optimization of the billet. A case study on robust optimization was conducted. Good results were attained for improving the die filling and avoiding folding defect, suggesting that the robust optimization of the billet in the transitional region of the ILLF was efficient and reliable.

Keywords： isothermal local loading forming     rib-web component     transitional region     robust optimization     dual response    

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Development of a multi-component drug from turmeric using central composite design

Xiaohang ZHANG,Shengnan HAN,Yan LI,Jianlan JIANG

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 3,   Pages 362-368 doi: 10.1007/s11705-014-1439-5

Abstract: A methodology to develop multi-component drugs based on traditional Chinese medicines has been developedSeveral active components from the traditional Chinese medicine turmeric were chosen for use in a multi-componentdetermine the quantitative composition-activity relationships in order to optimize the amount of each componentof the optimum combination was 92.85% in the MTT assay and superior to the activities of each single componentresponse surface methodology based on a central composite design is suitable for the design of multi-component

Keywords： multi-component drug development     central composite design     turmeric     curcuminoids    

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Underwater object detection by fusing features from different representations of sonar data Research Article

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 828-843 doi: 10.1631/FITEE.2200429

Abstract: Experimental results show that our method benefits both the region proposal and the object classification

Keywords： Underwater object detection     Sonar data representation     Feature fusion    

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Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 403-412 doi: 10.1631/FITEE.1600028

Abstract: Although principal component analysis (PCA) can be used to mitigate these two problems, the transformedimpact of PCA on NMF, and find that multiplicative NMF can also be applicable to data after principal componentBased on this conclusion, we present a method to perform NMF in the principal component space, named‘principal component NMF’ (PCNMF).

Keywords： Non-negative matrix factorization (NMF)     Principal component analysis (PCA)     Endmember     Hyperspectral    

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of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract: An experiment based on the technology of Taguchi is performed.Moreover, the principal component analysis is applied to evaluate the weights so that their relativeThe results of experiments show that grey relational analysis coupled with principal component analysis

Keywords： high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

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removal of ocular artifacts from electroencephalogram signals using spatial constraint independent component

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 486-496 doi: 10.1631/FITEE.1400299

Abstract: artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraint independent componentIn the first stage, independent component analysis (ICA) is used to decompose multiple EEG channels into

Keywords： Electroencephalogram (EEG)     Electrooculogram (EOG)     Brain-computer interface (BCI)     Spatial constraint independent component    

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Title Author Date Type Operation

Modular architecture model of CSCD system

Hongxue XU, Hong ZHENG, Xiuying GUO

Journal Article

Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Journal Article

Design and Implementation of Bank's International Trade Financing System Using Component Technology

Yu Jinshan,Chen Zhiqiang

Journal Article

Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

Journal Article

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Journal Article

Robust object tracking with RGBD-based sparse learning

Zi-ang MA, Zhi-yu XIANG

Journal Article

Improved resilience measure for component recovery priority in power grids

Journal Article

modeling on improved performance of an innovative method of using heave response of a non-floating object

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Journal Article

Molecular level simulations on multi-component systems —a morphology prediction method

C. SCHMIDT, J. ULRICH

Journal Article

Robust optimization of the billet for isothermal local loading transitional region of a Ti-alloy rib-web component

Ke WEI, Xiaoguang FAN, Mei ZHAN, Miao MENG

Journal Article

Development of a multi-component drug from turmeric using central composite design

Xiaohang ZHANG,Shengnan HAN,Yan LI,Jianlan JIANG

Journal Article

Underwater object detection by fusing features from different representations of sonar data

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Journal Article

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Journal Article

of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

removal of ocular artifacts from electroencephalogram signals using spatial constraint independent component

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Journal Article