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Description and reasoning of integrated topological and directional relation of bodies in 3D space

Liu Xin,Li Chengming and Liu Wenbao

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 8-13

Abstract:

To improve the uniqueness location information described by spatial relationshipand accuracy of spatial relationship reasoning result,the description model of the integrated topologicalAccording to definition of integrated topological and direction relation, the qualitative reasoning of

Keywords： spatial relation     topological relation     direction relation     integrated topological and direction relation    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichThe existing entity and relation extraction methods that depend on pretrained models have shown promisingRelation extraction is based on the hypothesis that the relations hidden in sentences are unified, therebyship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively.In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Macrozoobenthic assemblages in relation to environments of the Yangtze-isolated lakes

Baozhu PAN, Haijun WANG, Hongzhu WANG, Zhaoyin WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 246-254 doi: 10.1007/s11783-011-0381-8

Abstract: Eutrophication can shift lakes from a clear, macrophyte-dominated state to a turbid, algae-dominated state, and different habitat condition supports different fauna. Macrozoobenthos are good indicators of water environment, and studies on macrozoobenthic assemblage characteristics can help us to know which state a lake is in, thus provide the basis for its eutrophication control. In this study, a systematic investigation on macrozoobenthos was conducted in 17 Yangtze-isolated lakes to explore the macroecological laws of macrozoobenthic assemblages. Detrended correspondence analysis (DCA) revealed that variance of benthic assemblage structure occurred in two types of lakes. In macrophytic lakes, altogether 51?taxa of macrozoobenthos were identified. The average density and biomass of total macrozoobenthos were 2231?individuals·m and 1.69 g dry weight·m , respectively. Macrozoobenthic assemblage was characterized by dominance of scrapers (i.e. gastropods). In algal lakes, altogether 20 taxa of macrozoobenthos were identified. The average density and biomass of total macrozoobenthos were 2814 individuals·m and 1.38 g dry weight·m , respectively. Macrozoobenthic assemblage was characterized by dominance of collector-gatherers (i.e. oligochaetes). Wet biomass of submersed macrophytes ( ) and phytoplankton chlorophyll concentration ( ) were demonstrated as the key factor structuring macrozoobenthic assemblages in macrophytic and algal lakes, respectively.

Keywords： macrozoobenthos     assemblage characteristics     environment analyses     macrophytic lake     algal lake    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Soy food consumption in relation to breast cancer modified by menopause status

YANG Rong, ZHANG Bin, YANG Shaoping, ZHANG Dan, DU Yukai

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 348-351 doi: 10.1007/s11684-008-0066-2

Abstract: It has been found that lifestyle and diet are associated with the development of cancers. The mortality of breast cancer in Wuhan city is increasing, according to the statistics of recent years. This case control study was aimed to provide data for alimentary therapeutics for breast carcinomas. It included a case group ( = 196) and an age frequency-matched control group ( = 202). A validated food frequency questionnaire was used to obtain information on usual food consumption. The results indicate that intake of soy foods more than 5 times per week was associated with a decreased risk of breast cancer, especially in premenopausal women. The adjusted was 0.294 [95% CI was (0.158–0.546), = 0.000]. Our results indicate that alimentary therapeutics for breast cancer can be adjusted by status of menopause.

Keywords： development     control     lifestyle     consumption     information    

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Understanding barriers to BIM implementation: Their impact across organizational levels in relation to

Sander SIEBELINK, Hans VOORDIJK, Maaike ENDEDIJK, Arjen ADRIAANSE

Frontiers of Engineering Management 2021, Volume 8, Issue 2,   Pages 236-257 doi: 10.1007/s42524-019-0088-2

Abstract: This multiple case study of a contracting firm contributes to understanding the barriers that organizations face during the implementation of building information modeling (BIM) by providing insights into the impact of these barriers across different organizational levels (i.e., from top management to project teams) and by relating these barriers to different degrees of BIM maturity. First, we observe the dominance of barriers related to the motivation, competence, and time capacity of people across all levels of an organization. Second, the cluster of barriers at the middle-management level highlights the important role of this level in reducing these barriers. Third, only those cases with a low level of BIM maturity have struggled with lack of top management support, thereby highlighting the importance of such support in achieving BIM maturity growth. High BIM maturity situations are more prone to externally oriented barriers in attempting to further leverage the benefits of BIM. Our study provides insights on where to focus BIM implementation measures and how to enhance organizational BIM maturity.

Keywords： building information modeling     implementation barriers     maturity     organizational levels    

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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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The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 191-201 doi: 10.1007/s11709-021-0792-y

Abstract: A new insight into the interfacial transition zone (ITZ) in cement mortar specimens (CMSs) that is influenced by cement fineness is reported. The importance of cement fineness in ITZ characterizations such as morphology and thickness is elucidated by backscattered electron images and by consequences to the compressive (Fc) and flexural strength (Ff), and porosity at various water/cement ratios. The findings indicate that by increasing the cement fineness the calcium silicate hydrate formation in the ITZ is favored and that this can refine the pore structures and create a denser and more homogeneous microstructure. By increasing cement fineness by about 25% of, the ITZ thickness of CMSs was reduced by about 30% and Fc was increased by 7%–52% and Ff by 19%–40%. These findings illustrate that the influence of ITZ features on the mechanical strength of CMSs is mostly related to the cement fineness and ITZ microstructure.

Keywords： cement fineness     interfacial transition zone     compressive and flexural strength    

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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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Directional relation description and calculation based on Voronoi region in GIS

Li Chengming

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 25-29

Abstract:

Directional relation is very important in GIS,but because of depending

Keywords： directional relation     Voronoi Region     CDR     MBR    

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Correlation between tension softening relation and crack extension resistance in concrete

Xiufang ZHANG , Shilang XU ,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 3,   Pages 323-329 doi: 10.1007/s11709-009-0041-2

Abstract: Changes of the material fracture energy consumption with crack propagation can be described by a crack extension resistance curve, one of the fundamental fracture criteria in crack mechanics. Recently, experimental observation of the fracture behavior in concrete was used to develop a new fracture criterion, the crack extension resistance curve, to analyze crack propagation during the entire concrete fracture process. The variation of the crack extension resistance is mainly associated with the energy consumption in the fracture process zone ahead of the stress-free crack tip. The crack extension resistance is then a function of the softening curve, which is a basic mechanical property in the fracture process zone. The relationship between the softening curve and the crack extension resistance curve is then analyzed based on results of three-point bending beams tests. The results indicate that the characteristic points of the crack extension resistance curve is closely related to the characteristic point on used tension softening curve.

Keywords： concrete     fracture process zone     crack extension GR resistance     tension softening curve    

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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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Optimization of spatial structure designs of control rod using Monte Carlo code RMC

Frontiers in Energy 2021, Volume 15, Issue 4,   Pages 974-983 doi: 10.1007/s11708-021-0769-5

Abstract: In this work, some control rod designs are proposed with optimized spatial structures including the spatiallyFor the spatially mixed rod, rare-earth absorbers are combined with B4C in spatial structure

Keywords： control rod     optimized spatial structure     neutronic performance     burnup stability    

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Title Author Date Type Operation

Description and reasoning of integrated topological and directional relation of bodies in 3D space

Liu Xin,Li Chengming and Liu Wenbao

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Macrozoobenthic assemblages in relation to environments of the Yangtze-isolated lakes

Baozhu PAN, Haijun WANG, Hongzhu WANG, Zhaoyin WANG

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Soy food consumption in relation to breast cancer modified by menopause status

YANG Rong, ZHANG Bin, YANG Shaoping, ZHANG Dan, DU Yukai

Journal Article

Understanding barriers to BIM implementation: Their impact across organizational levels in relation to

Sander SIEBELINK, Hans VOORDIJK, Maaike ENDEDIJK, Arjen ADRIAANSE

Journal Article

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

Adam HAMROUNI, Daniel DIAS, Badreddine SBARTAI

Journal Article

The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

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

Directional relation description and calculation based on Voronoi region in GIS

Li Chengming

Journal Article

Correlation between tension softening relation and crack extension resistance in concrete

Xiufang ZHANG , Shilang XU ,

Journal Article

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

Journal Article

Optimization of spatial structure designs of control rod using Monte Carlo code RMC

Journal Article