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Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Strategic Study of CAE 2013, Volume 15, Issue 5, Pages 14-19

Abstract: At last, the applications in spatial reasoning are proposed.

Keywords： topological relationship composite of topological relations spatial reasoning algbra reasoning logicalreasoning

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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 ofEmpirical examples were provided to show the qualitative reasoning process and results of topological

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

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Case-based reasoning for selection of the best practices in low-carbon city development

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 3, Pages 416-432 doi: 10.1007/s42524-019-0036-1

Abstract: This study introduces a case-based reasoning methodology for a specific city to select the best practices

Keywords： low-carbon city carbon emission best practices case-based reasoning

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3, Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidification reasoningfinding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoningThe accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for

Keywords： aluminum electrolysis cell condition Fuzzy-Bayesian network multi-source knowledge solidification and reasoning

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A New Evolution-reasoning Method in Conceptual Design Based on Extension Theory

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Strategic Study of CAE 2003, Volume 5, Issue 5, Pages 63-69

Abstract:

After existing study methods are analyzed, a new researching model for conceptual design based on extension and genetic algorithms was presented. The inner-model and outer-model of product project were set up with matter elements. In genetic algorithms the coding for individual, the means for cross-over and mutation were all founded based on the inner-model. The fitness function was set up combined with relationship function. The technique solves the innovative and incompatible problems in conceptual design. The feasibility of the new researching model is testified by three conceptual design examples for retarder.

Keywords： conceptual design matter elements transform genetic algorithms evolution reasoning extension appraisal

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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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Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Strategic Study of CAE 2003, Volume 5, Issue 2, Pages 68-74

Abstract:

Generally, reasoning theory can be divided into certainty reasoning theory and uncertainty reasoningcapability, but certainty reasoning theory can not realize the capability.Fortunately, uncertainty reasoning theory can meet this requirement.set theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and sotheory of the uncertainty reasoning theory are used respectively.

Keywords： satellite fault detection diagnosis uncertainty reasoning theory

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to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1, Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

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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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Progress in Neural NLP: Modeling, Learning, and Reasoning Review

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Engineering 2020, Volume 6, Issue 3, Pages 275-290 doi: 10.1016/j.eng.2019.12.014

Abstract: the neural network-based NLP framework (neural NLP) from three perspectives: modeling, learning, and reasoningWe view reasoning as a new and exciting direction for neural NLP, but it has yet to be well addressedIn the reasoning section, we will review reasoning mechanisms, including the knowledge, existing non-neuralWe emphasize the importance of reasoning in this paper because it is important for building interpretable

Keywords： Natural language processing Deep learning Modeling learning and Reasoning

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Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Engineering 2019, Volume 5, Issue 5, Pages 817-818 doi: 10.1016/j.eng.2019.08.009

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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