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Improved directional-distance filter

JIN Lianghai, LI Dehua

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 205-211 doi: 10.1007/s11465-008-0025-2

Abstract: This paper proposes a new spatial-distance weighting function.By combining the weighting function and the traditional directional-distance filter (DDF) in a novelway, a new vector filter - the adaptive distance-weighted directional-distance filter (ADWDDF) - is presented

Keywords： information     distance-weighted directional-distance     ADWDDF     traditional DDF     spatial-distance weighting    

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fflig;ects for smart distribution networks under the novel design of indicator framework and hybrid weighting

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 143-158 doi: 10.1007/s11708-020-0703-2

Abstract: for the SDN, a comprehensive evaluation framework with specific performance indicators and systematic weightingdata in specific SDN areas, an improved interval-based analytic hierarchy process-based subjective weightingand a multi-objective programming method-based objective weighting are developed to evaluate the SDN

Keywords： distribution networks     operation and maintenance     expert systems    

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Construction survey technology on concrete construction of Three Gorges Project ship lift tower

Luo Chen,Yan Chunbo

Strategic Study of CAE 2013, Volume 15, Issue 9,   Pages 97-101

Abstract: The construction survey technologies, including zenith telescope planar cast point, electromagnetic distance

Keywords： construction survey     zenith telescope cast point     electromagnetic distance measuring     spatial positioning    

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Application and evaluation of optical distance measurements in geometrical quality testing of microgears

Albert ALBERS, Duotai PAN, Leif MARXEN, Claudia BECKE,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 261-269 doi: 10.1007/s11465-010-0100-3

Abstract: Microgears are increasingly important in industry. Compared to normal gears, the quality assurance of microgears needs more accurately measured data and simple but feasible measurement methods because of their dimension particula

Keywords： microgear     optical distance measurement     profile deviation     CWL sensor     micromechanical technology (MMT)    

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New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 249-253 doi: 10.1007/s11465-011-0124-3

Abstract: feature index monitoring and diagnosing the vibration fault of rotating machinery, which is called distanceThe mathematic deduction suggests that the conception of distance of information entropy is accordantThen, the accuracy of rotor fault diagnosis can be improved through the curve chart of the distance of

Keywords： rotating machinery     information fusion     fault diagnosis     Information entropy     distance of the information    

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Efficient utilization of wind power: Long-distance transmission or local consumption?

Yuanzhang SUN, Xiyuan MA, Jian XU, Yi BAO, Siyang LIAO

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 440-455 doi: 10.1007/s11465-017-0440-3

Abstract: Excess wind power produced in wind-intensive areas is normally delivered to remote load centers via long-distanceThis paper presents a comparison between long-distance transmission, which has gained popularity, andFirst, the challenges and solutions to the long-distance transmission and local consumption of wind power

Keywords： wind power     long-distance transmission     local consumption     supermicrogrid    

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Cracking resistance performance of super vertical-distance pumped SFRC

JIANG Jinyang, SUN Wei, ZHANG Yunsheng, CHEN Cuicui, WANG Jing

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 179-183 doi: 10.1007/s11709-008-0018-6

Abstract: The mix ratio of steel fiber reinforced concrete (SFRC) was optimized using the principles that workability must meet the pumping demand and anti-cracking performance should be optimal. The effect of SFRC on the initial cracking load, the ultimate load and the crack width of the reinforced concrete (RC) member were analyzed in this paper. It was found that the admixture had good preservation of moisture and adhesion and the fibers distributed homogeneously in one hour out of the machine. According to the pumping results, the SFRC could be pumped vertically up to 306 m. Based on the standard computation formula of cracks, the maximum crack width of an RC member with 0.8% steel fiber (by volume) is about 32% lower than that of standard RC member. Through an experimental research on full-scale model tests for the steel and concrete composite anchorage zone on a pylon, the SFRC not only remarkably increases the crack resistance and the ultimate load, but the initial load also improves 33% approximately. It is also indicated that plastic shrinkage cracking of SFRC in which volume fraction of steel fibers is 0.8% can be restrained obviously and the unrestrained drying shrinkage can be diminished by about 50% at early age. The results confirmed that the SFRC can lessen the shrinkage crack of concrete and enhance markedly the direct tensile strength. Therefore, the SFRC can solve the key question of crack resistance for the anchorage zone of a bridge tower.
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Variable eccentric distance-based tool path generation for orthogonal turn-milling

Fangyu PENG,Wei WANG,Rong YAN,Xianyin DUAN,Bin LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 352-366 doi: 10.1007/s11465-015-0361-y

Abstract: proposes an algorithm for maximizing strip width in orthogonal turn-milling based on variable eccentric distanceThe optimized model for maximum machining strip width is formulated by adopting a variable eccentric distanceHausdorff distance and Fréchet distance are introduced in this study to implement the constraint

Keywords： orthogonal turn-milling     variable eccentric distance     local cutting profile     machining strip-width maximization    

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Equitableness to long-distance of disaster reduction systems

Yao Qinglin

Strategic Study of CAE 2009, Volume 11, Issue 6,   Pages 153-158

Abstract:

The equitableness to long-distance of the disaster reduction aims atby partition and deformation of the territory, localization of the center and the corresponding long-distanceachieving-degree of the technical indexes in a weaker condition can be improved.The equitableness to long-distancecan remedy system's flaw by the long-distance mechanism or construct the complete system in an incomplete

Keywords： equitableness to long-distance     disaster reduction     management     earthquake    

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A combination weighting model based on iMOEA/D-DE Research Article

Mingtao DONG, Jianhua CHENG, Lin ZHAO,hbdmt@hrbeu.edu.cn,chengjianhua@hrbeu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 604-616 doi: 10.1631/FITEE.2000545

Abstract: This paper proposes a (CW) model based on i (i.‍e., improved multiobjective evolutionary algorithm based on decomposition with differential evolution) with the aim to accurately compute the weight of evaluation methods. Multi-expert weight considers only subjective weights, leading to poor objectivity. To overcome this shortcoming, a multiobjective optimization model of CW based on improved is proposed while considering the uncertainty of combination coefficients. An improved mutation operator is introduced to improve the convergence speed, and thus better optimization results are obtained. Meanwhile, an adaptive mutation constant and crossover probability constant with are proposed to improve the robustness of . Since the existing weight evaluation approaches cannot evaluate weights separately, a new weight evaluation approach based on is presented. Taking the evaluation method of integrated navigation systems as an example, certain experiments are carried out. It is proved that the proposed algorithm is effective and has excellent performance.

Keywords： Combination weighting     MOEA/D-DE     Game theory     Self-learning ability     Relative entropy    

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Soil spatial variability impact on the behavior of a reinforced earth wall

Adam HAMROUNI, Daniel DIAS, Badreddine SBARTAI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 518-531 doi: 10.1007/s11709-020-0611-x

Abstract: This article presents the soil spatial variability effect on the performance of a reinforced earth wallThe influences of the spatial variability response of the geotechnical system in terms of horizontalThe results obtained show that the spatial variability has an important influence on the facing horizontal

Keywords： reinforced earth wall     geosynthetic     random field     spatial variability     Monte Carlo simulation    

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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    

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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 spatialSpatial 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    

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Abundance, spatial distribution, and physical characteristics of microplastics in stormwater detention

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1724-y

Abstract: Despite extensive research on microplastics (MP) in marine environments, little is known about MP abundance and transport in terrestrial systems. There is, therefore, still little understanding of the main mechanisms driving the substantial transport of MP across different environmental compartments. Storm events can transport MP beyond boundaries, such as from the land to groundwater or the ocean, as has already been discovered for organic carbon transport. Urban stormwater detention ponds are suitable environments to study the impact of stormwater on the environmental fate and transport of MP. Herein, we investigate the longitudinal and vertical distribution of MP within two detention ponds with different physical characteristics. Soil samples were collected at various locations and from multiple depths (surface and subsurface layers) for measuring MP concentrations using fluorescence microscopy. Our findings show that MP are retained more near the inlet of the ponds, and MP of larger sizes were found more abundantly near inlets than outlets. We also found that MP mass and sizes decrease from surface soil to subsurface soil. In the pond, where vegetation (grass root network) was more considerable, MP were found more evenly distributed along the depth. In terms of shape, the fragments were the most abundant MP shape.

Keywords： Microplastic     Environmental transport     Soil pollution     Stormwater     Detention ponds    

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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Title Author Date Type Operation

Improved directional-distance filter

JIN Lianghai, LI Dehua

Journal Article

fflig;ects for smart distribution networks under the novel design of indicator framework and hybrid weighting

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Journal Article

Construction survey technology on concrete construction of Three Gorges Project ship lift tower

Luo Chen,Yan Chunbo

Journal Article

Application and evaluation of optical distance measurements in geometrical quality testing of microgears

Albert ALBERS, Duotai PAN, Leif MARXEN, Claudia BECKE,

Journal Article

New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

Journal Article

Efficient utilization of wind power: Long-distance transmission or local consumption?

Yuanzhang SUN, Xiyuan MA, Jian XU, Yi BAO, Siyang LIAO

Journal Article

Cracking resistance performance of super vertical-distance pumped SFRC

JIANG Jinyang, SUN Wei, ZHANG Yunsheng, CHEN Cuicui, WANG Jing

Journal Article

Variable eccentric distance-based tool path generation for orthogonal turn-milling

Fangyu PENG,Wei WANG,Rong YAN,Xianyin DUAN,Bin LI

Journal Article

Equitableness to long-distance of disaster reduction systems

Yao Qinglin

Journal Article

A combination weighting model based on iMOEA/D-DE

Mingtao DONG, Jianhua CHENG, Lin ZHAO,hbdmt@hrbeu.edu.cn,chengjianhua@hrbeu.edu.cn

Journal Article

Soil spatial variability impact on the behavior of a reinforced earth wall

Adam HAMROUNI, Daniel DIAS, Badreddine SBARTAI

Journal Article

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

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

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

Babak DIZANGIAN, Mohammad Reza GHASEMI

Journal Article

Abundance, spatial distribution, and physical characteristics of microplastics in stormwater detention

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article