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Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network

Li Jianguang,Li Yongchi,Wang Yulan

Strategic Study of CAE 2007, Volume 9, Issue 8,   Pages 77-81

Abstract:

In this article,  nonlinear mapping relation between input of 13

Keywords： neural networks     dimensional analysis     penetration depth of projectiles into concrete     nonlinear mappingrelation     RBF neural networks    

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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: According 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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Chemical mapping of cement pastes by using confocal Raman spectroscopy

Fengjuan LIU,Zhihui SUN

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 2,   Pages 168-173 doi: 10.1007/s11709-015-0323-9

Abstract: In the present study, chemical mapping on the hydration process of cement paste with water-to-cementIt is concluded from the study that chemical mapping was an effective method to assist in visualizing

Keywords： chemical mapping     Raman spectroscopy     calcium silicates     calcium hydroxide     ettringite    

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Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 130-142 doi: 10.1007/s11465-010-0011-3

Abstract: four measures are adopted. 1) Topology optimization model is established by independent continuous mapping

Keywords： independent continuous mapping (ICM) method     global stresses constraints     topology optimization     continuum    

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A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 185-199 doi: 10.1631/FITEE.1500251

Abstract: The photon mapping algorithm is an effective method for computing global illumination with its obviousThe deficiency of precise details and efficient rendering are still the main challenges of photon mappingof categories including radiance estimation, photon relaxation, photon tracing, progressive photon mappingThe goals of our report are giving readers an overall introduction to photon mapping and motivating further

Keywords： Global illumination     Photon mapping     Radiance estimation     Photon relaxation     Progressive photon mapping    

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and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge mapping

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2

Abstract:

• The overall global perspective of the PHMCS field was obtained.

Keywords： Heavy metal-contaminated soil     Hot topics     Knowledge mapping analysis     Knowledge base     Phytoremediation    

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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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Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 135-145 doi: 10.15302/J-FASE-2017143

Abstract: Our objective was to employ electromagnetic induction (EMI) mapping in low apparent electrical conductivity

Keywords： soil electrical conductivity     soil texture mapping     temporal stability analysis    

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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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Quantifying and mapping spatial variability of Shanghai household carbon footprints

Shangguang YANG,Chunlan WANG,Kevin LO,Mark WANG,Lin LIU

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 115-124 doi: 10.1007/s11708-015-0348-8

Abstract: Understanding the spatial variability of household carbon emissions is necessary for formulating sustainable and low-carbon energy policy. However, data on household carbon emissions is limited in China, the world’s largest greenhouse gases emitter. This study quantifies and maps household carbon emissions in Shanghai using a city-wide household survey. The findings reveal substantial spatial variability in household carbon emissions, especially in transport-related emissions. Low emission clusters are founded in Hongkou, Xuhui, Luwan, Jinshan, and Fengxian. High emission clusters are located in Jiading and Pudong. Overall, the spatial pattern of household carbon emissions in Shanghai is donut-shaped: lowest in the urban core, increasing in the surrounding suburban areas, and declining again in the urban fringe and rural regions. The household emissions are correlated with a number of housing and socioeconomic factors, including car ownership, type of dwelling, size of dwelling, age of dwelling, and income. The findings underscore the importance of a localized approach to low-carbon policy-making and implementation.

Keywords： household carbon emissions     spatial variability     energy policy     Shanghai     China    

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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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Title Author Date Type Operation

Penetration Depth of Projectiles Into Concrete Using Artificial Neural Network

Li Jianguang,Li Yongchi,Wang Yulan

Journal Article

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

Chemical mapping of cement pastes by using confocal Raman spectroscopy

Fengjuan LIU,Zhihui SUN

Journal Article

Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Journal Article

A survey of photon mapping state-of-the-art research and future challenges

Chun-meng KANG,Lu WAN,Yan-ning XU,Xiang-xu MENG

Journal Article

and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge mapping

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

Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns

Hiruy ABDU, David A. ROBINSON, Janis BOETTINGER, Scott B. JONES

Journal Article

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

Journal Article

Quantifying and mapping spatial variability of Shanghai household carbon footprints

Shangguang YANG,Chunlan WANG,Kevin LO,Mark WANG,Lin LIU

Journal Article

Directional relation description and calculation based on Voronoi region in GIS

Li Chengming

Journal Article