Resource Type

Journal Article 298

Year

2024 12

2023 24

2022 27

2021 13

2020 16

2019 12

2018 24

2017 19

2016 15

2015 14

2014 10

2013 7

2012 15

2011 9

2010 8

2009 9

2008 12

2007 12

2006 13

2005 6

open ︾

Keywords

extraction 14

feature extraction 6

level set method 4

solvent extraction 4

topology optimization 4

Feature extraction 3

isogeometric analysis 3

China 2

Hypervelocity impact 2

Sequential extraction 2

concrete 2

development 2

fault diagnosis 2

sensitivity analysis 2

trimmed element 2

(−)-epigallocatechin gallate 1

1-ethyl-3-methylimidazolium trifluoromethanesulfonate 1

20 kt-level combined heavy-haul train 1

3D document 1

open ︾

Search scope:

排序: Display mode:

Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

Frontiers of Engineering Management 2024, Volume 11, Issue 1,   Pages 143-158 doi: 10.1007/s42524-023-0273-1

Abstract: Probing questions of how to meticulously excavate value from complex document information and establishframework for knowledge graph construction in the industrial domain, predicated on knowledge-enhanced document-levelentity and relation extraction.For relation extraction, this paper introduces the knowledge-enhanced graph inference (KEGI) network,The F1 value for entity and relation extraction has been enhanced by 2% to 6%.

Keywords: knowledge graph construction     industrial     BiLSTM-CRF     document-level relation extraction     graph inference    

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

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   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, therebyextraction.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    

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    

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    

An extraction- assay system: Evaluation on flavonols in plant resistance to Pb and Cd by supercriticalextraction- gas chromatography

Xu Zhang, Huanhuan Yang, Xinlei Wang, Wen Song, Zhaojie Cui

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 4, doi: 10.1007/s11783-018-1059-2

Abstract:

ROS level is applied for elaborating the plant

Keywords: Flavonols     Heavy metal     Supercritical carbon dioxide extraction (SFE)     GC     Plant resistance    

Feature extraction from slice data for reverse engineering

ZHANG Yingjie, LU Shangning

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 25-31 doi: 10.1007/s11465-007-0004-z

Abstract: A new approach to feature extraction for slice data points is presented.

Keywords: feasibility     corresponding     B-spline     pre-determined tolerance     extraction    

A microextraction approach for rapid extraction and separation of Mn(II) and Co(II) using saponified

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 963-972 doi: 10.1007/s11705-021-2081-7

Abstract: In this paper, we proposed a microextraction approach for the extraction and separation of Mn(II) andThe results showcased that the microextractor can reach the extraction equilibrium within 20 s, therebygreatly reducing necessary extraction time comparing to that of conventional processes.microextraction approach greatly enhances the mass transfer while enabling a continuous and controllable extraction

Keywords: extraction equilibrium     mass transfer coefficient     microextraction     multicomponent extraction     di-(2-    

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    

Performance evaluation of an improved biomass-fired cogeneration system simultaneously using extraction

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 321-335 doi: 10.1007/s11708-021-0741-4

Abstract: In place of the traditional single heat source (extraction steam), the extraction steam from the turbine

Keywords: biomass-fired cogeneration     district heat production system     absorption heat pump     extraction steam    

Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: recognition (NER) is essential in many natural language processing (NLP) tasks such as information extractionand document classification.A construction document usually contains critical named entities, and an effective NER method can provide

Keywords: NER     NLP     Chinese language     construction document    

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    

Study on the microwave-assisted extraction of polyphenols from tea

Liyun WANG, Peiyong QIN, Yan HU,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 307-313 doi: 10.1007/s11705-009-0282-6

Abstract: study demonstrated a promising method for quickly extracting tea polyphenol (TP) by microwave-assisted extractionSome influential parameters, including MAE temperature, microwave power, concentration of extractionCompared with traditional methods, including hot reflux extraction (HRE), ultrasound-assisted extraction(UAE) and supercritical fluid extraction (SFE), the extraction time was saved 8 times than that of HREThe extraction time was saved 5 times than that of SFE, and the yield of TP was increased by 40%.

Keywords: energy consumption     microwave-assisted extraction     optimum condition     pre-leaching     concentration    

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    

Study of an artificial boundary condition based on the damping-solvent extraction method

Qiang XU, Jianyun CHEN, Jing LI, Mingming WANG

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 281-287 doi: 10.1007/s11709-012-0167-5

Abstract: The boundary condition was based on the damping-solvent extraction method.The principle of the damping-solvent extraction method was described.Compared with the damping-solvent extraction method, this boundary condition is easier to be applied

Keywords: damping-solvent extraction method     structure-unlimited-foundation system     spring-damper system     artificial    

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: Second, the cluster of barriers at the middle-management level highlights the important role of thislevel in reducing these barriers.Third, only those cases with a low level of BIM maturity have struggled with lack of top management support

Keywords: building information modeling     implementation barriers     maturity     organizational levels    

Title Author Date Type Operation

Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

Journal Article

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

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

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

Baozhu PAN, Haijun WANG, Hongzhu WANG, Zhaoyin WANG

Journal Article

An extraction- assay system: Evaluation on flavonols in plant resistance to Pb and Cd by supercriticalextraction- gas chromatography

Xu Zhang, Huanhuan Yang, Xinlei Wang, Wen Song, Zhaojie Cui

Journal Article

Feature extraction from slice data for reverse engineering

ZHANG Yingjie, LU Shangning

Journal Article

A microextraction approach for rapid extraction and separation of Mn(II) and Co(II) using saponified

Journal Article

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

Journal Article

Performance evaluation of an improved biomass-fired cogeneration system simultaneously using extraction

Journal Article

Named entity recognition for Chinese construction documents based on conditional random field

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

Study on the microwave-assisted extraction of polyphenols from tea

Liyun WANG, Peiyong QIN, Yan HU,

Journal Article

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

Journal Article

Study of an artificial boundary condition based on the damping-solvent extraction method

Qiang XU, Jianyun CHEN, Jing LI, Mingming WANG

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