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Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 559-568 doi: 10.1007/s11783-012-0400-4

Abstract: The aim of this paper is to study the spatial-temporal differentiation of industrial eco-efficiency inUsing methods based on the data envelopment analysis (DEA) model and exploratory spatial data analysis(ESDA) and data from 1985, 1995, 2005, and 2008 of 30 provinces in China, the spatial-temporal patternindustrial eco-efficiency are dominated by clustering of relatively low efficiency provinces; second, spatialunits are concentrated in eastern China, and the lower level spatial units are mainly in western and

Keywords: industrial eco-efficiency     data envelopment analysis (DEA) model     exploratory spatial data analysis (ESDA    

Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICUquality data from 2015 to 2020

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 675-684 doi: 10.1007/s11684-022-0970-x

Abstract: The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and includedWhen exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that

Keywords: critical care medicine     quality control     evaluation     exploratory factor analysis (EFA) model    

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: Reliability is important to design innovation. A new product should be not only innovative, but also reliable. For many existing components used in the new product, their reliability will change because the applied Loads are different from the ones for which the components are originally designed and manufactured. Then the new reliability must be re-evaluated. The system designers of the new product, however, may not have enough information to perform this task. With a beam problem as a case study, this study explores a feasible way to re-evaluate the component reliability with new Loads given the following information: The original reliability of the component with respect to the component Loads and the distributions of the new component Loads. Physics-based methods are employed to build the equivalent component limit-state function that can predict the component failure under the new Loads. Since the information is limited, the re-evaluated component reliability is given by its maximum and minimum values. The case study shows that good accuracy can be obtained even though the new reliability is provided with the aforementioned interval.

Keywords: reliability     component     failure mode     prediction     random variable    

A building-based data capture and data mining technique for air quality assessment

Ni SHENG, U Wa TANG

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 543-551 doi: 10.1007/s11783-011-0369-4

Abstract: Macau Peninsula as a case study, this paper shows the advantages of building-based model system in datacapture and data mining.Compared with the traditional grid-based model systems with input/output spatial resolutions of 1–2 kmand therefore, can capture the complex spatial variation of traffic emission, urban geometry, and airurban spatial data for environmental assessment.

Keywords: traffic air pollution     spatial distribution     high resolution     geographic information system    

Interactive effects of high-speed rail on nodal zones in a city: exploratory study on China

Guo LIU, Kunhui YE

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 327-335 doi: 10.1007/s42524-019-0051-2

Abstract: Data were collected in China through questionnaire survey.

Keywords: high-speed rail     nodal zone     interactive effects     sustainable urbanization     China    

Border-search and jump reduction method for size optimization of spatial truss structures

Babak DIZANGIAN, Mohammad Reza GHASEMI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 123-134 doi: 10.1007/s11709-018-0478-2

Abstract: This paper proposes a sensitivity-based border-search and jump reduction method for optimum design of spatialSensitivity analysis is performed using numerical finite difference method.To do structural analysis, a link between open source software of OpenSees and MATLAB was developed.Spatial truss problems were attempted for optimization in order to show the fastness and efficiency of

Keywords: optimum design     sensitivity analysis     reduction method     spatial trusses     OpenSees    

Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of

YUE Zhongqi

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 1,   Pages 80-93 doi: 10.1007/s11709-007-0008-0

Abstract: processing methods are used as measurement tools to construct a digital representation for the actual spatialThe digital data are further processed to automatically generate meshes or grids for numerical analysisor grids can be easily incorporated into existing numerical software packages for further mechanical analysisthat the proposed approach is one of the latest research and developments in geomechanics where actual spatial

Keywords: homogeneous     numerical analysis     Expanded     homogenization     meso-level    

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi sourcedata

Yilan Cui, Xing Xie, Yi Liu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1068-1

Abstract:

Check-in and survey data are explored to identify personal activity-specificlistitem>

Ways for detecting and moderating sample bias of Weibo check-in data

The potential application of Weibo check-in datafor urban analysis is introduced.

Keywords: Social media     Human mobility     Population bias     Sample reconstruction     Data integration    

Analysis on shear capacity of prestressed concrete spatial connections

XUE Weichen, LIU Zhenyong, JIANG Dongsheng

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 309-317 doi: 10.1007/s11709-008-0052-4

Abstract: Based on experimental results of prestressed concrete spatial connections, nonlinear finite element modelswere established to analyze the shear capacity of spatial connections and parametric studies were performedIt is found that the shear capacity of spatial connection is influenced by joint hoop, beam prestressThe parametric studies also indicate that the shear capacity of spatial connection under biaxial cyclicA design formula for calculating the shear capacity of spatial connections is proposed based on the parametric

Keywords: available     direction     nonlinear     capacity     compressive    

PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1221-5

Abstract: GDAL/OGR libraries are used to do spatial analysis in the modeling and prediction.Developed on Python platform, PyLUR is rather efficient in data processing.Furthermore, PyLUR is much more efficient in data processing and it has a capability to handle detailedGIS input data.

Keywords: LUR     Air pollution modelling     GIS spatial analysis     GDAL/OGR Python     Pollutant concentration mapping    

A comprehensive analysis of a 3-P (Pa) S spatial parallel manipulator

Yuzhe LIU,Liping WANG,Jun WU,Jinsong WANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1,   Pages 7-19 doi: 10.1007/s11465-015-0324-3

Abstract:

In this paper, a novel 3-degree of freedom (3-DOF) spatial parallel kinematic machine (PKM) is analyzedAt first, the structure of this spatial PKM is simplified according to the characteristic of each limbSecondly, the kinematics model of this spatial PKM is set up.The comprehensive kinematics analysis in this paper is greatly useful for the future applications ofthis spatial PKM.

Keywords: parallel mechanism     concomitant motions     kinematics     workspaces     error model    

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 817-828 doi: 10.1631/FITEE.1500070

Abstract: The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis (pLSA) based onstandard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial

Keywords: Scene category recognition     Probabilistic latent semantic analysis     Bag-of-words     Adaptive boosting    

Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 661-664 doi: 10.1007/s11684-021-0907-9

Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independentcomponent analysis based recursive least squares in brain-computer interface

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: To remove ocular artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraintindependent component analysis based recursive least squares (SCICA-RLS) is proposed.In the first stage, independent component analysis (ICA) is used to decompose multiple EEG channels intoThese extracted ICs are called spatial constraint ICs (SC-ICs).Based on the EEG data recorded from seven subjects, the new approach can lead to average classification

Keywords: Ocular artifacts     Electroencephalogram (EEG)     Electrooculogram (EOG)     Brain-computer interface (BCI)     Spatialconstraint independent component analysis based recursive least squares (SCICA-RLS)    

Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1301-1316 doi: 10.1007/s11709-021-0765-1

Abstract: An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectivenessTraffic data were used to analyze the evacuation traffic patterns.

Keywords: storm surge modeling     traffic     evacuation     Hurricane Irma    

Title Author Date Type Operation

Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICUquality data from 2015 to 2020

Journal Article

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Journal Article

A building-based data capture and data mining technique for air quality assessment

Ni SHENG, U Wa TANG

Journal Article

Interactive effects of high-speed rail on nodal zones in a city: exploratory study on China

Guo LIU, Kunhui YE

Journal Article

Border-search and jump reduction method for size optimization of spatial truss structures

Babak DIZANGIAN, Mohammad Reza GHASEMI

Journal Article

Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of

YUE Zhongqi

Journal Article

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi sourcedata

Yilan Cui, Xing Xie, Yi Liu

Journal Article

Analysis on shear capacity of prestressed concrete spatial connections

XUE Weichen, LIU Zhenyong, JIANG Dongsheng

Journal Article

PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Journal Article

A comprehensive analysis of a 3-P (Pa) S spatial parallel manipulator

Yuzhe LIU,Liping WANG,Jun WU,Jinsong WANG

Journal Article

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Journal Article

Answer for questions of repeated measurements of variance analysis and distribution test of data — Authors

Journal Article

Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independentcomponent analysis based recursive least squares in brain-computer interface

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

Journal Article

Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Journal Article