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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract:

Knowledge representation is the core of artificial intelligence research.Knowledge representation methods include predicate logic, semantic network, computer programming languagerepresentation model is necessary.This knowledge representation method is not a contradiction to the traditional knowledge representationIt can express knowledge in terms of multivariate and multidimensional.

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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The engineering analysis of the multidimensional attribute

Xu Changshan,Qu Lei

Strategic Study of CAE 2013, Volume 15, Issue 11,   Pages 92-96

Abstract: justify;">Engineering as a activity which people change nature and construction of artificial nature, has multidimensionalThe research of the engineering,we should inspect the multidimensional attributes of engineering,and

Keywords： engineering     multidimensional     attribute    

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The Improving Characteristics of the Gradual Gaussian Multidimensional Pre-filter for Optical Flow Estimation

Fu Jun,Xu Weipu

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 56-61

Abstract: Based on the unified estimation-theoretic framework, an effective method of using the gradual Gaussian multidimensionalAfter pre-filtering the image sequence by the Gaussian multidimensional filter, the average PSNR of the

Keywords： optical flow computing     Gaussian multidimensional filter     PSNR     motion estimation    

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Research on Multidimensional Connotations of Megaproject Construction Organization Citizenship Behavior

Qing-hua He,De-lei Yang,Yong-kui Li,Lan Luo

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 148-153 doi: 10.15302/J-FEM-2015024

Abstract: Based on a literature review and the context characteristics of construction megaprojects (CMPs), a multidimensional

Keywords： construction megaproject (CMP)     organizational citizenship behavior     connotation     grounded theory    

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A knowledge push technology based on applicable probability matching and multidimensional context driving None

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 235-245 doi: 10.1631/FITEE.1700763

Abstract: In this paper, we propose a knowledge push technology based on applicable probability matching and multidimensionalThe rules of personalized knowledge push were sorted by multidimensional contexts, which include design

Keywords： Product design     Knowledge push     Applicable probability matching     Multidimensional context     Personalization    

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Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 367-376 doi: 10.1007/s11708-018-0584-9

Abstract: In this paper, the random sampling-high dimensional model representation (RS-HDMR) methods were employed

Keywords： ignition delay     random sampling     high dimensional model representation     n-heptane     fuel kinetics    

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Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of

YUE Zhongqi

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 1,   Pages 80-93 doi: 10.1007/s11709-007-0008-0

Abstract: presents the author's efforts in the past decade for the establishment of a practical approach of digital representationproposed approach, digital image processing methods are used as measurement tools to construct a digital representation

Keywords： homogeneous     numerical analysis     Expanded     homogenization     meso-level    

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Uncertainty in Knowledge Representation

Li Deyi

Strategic Study of CAE 2000, Volume 2, Issue 10,   Pages 73-79

Abstract:

Knowledge representation in AI has been a bottleneck for years.

Keywords： knowledge representation     qualitative concept     uncertainty     cloud model     digital characteristics    

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A discussion of objective function representation methods in global optimization

Panos M. PARDALOS, Mahdi FATHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 515-523 doi: 10.15302/J-FEM-2018044

Abstract: We examine decomposition techniques and classify GO problems on the basis of objective function representationFinally, we conclude the paper by exploring the importance of objective function representation in integrated

Keywords： global optimization     decomposition techniques     multi-objective     DC programming     Kolmogorov’s superposition     space-filling curve     smart manufacturing and Industry 4.0    

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Syntactic word embedding based on dependency syntax and polysemous analysis None

Zhong-lin YE, Hai-xing ZHAO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 524-535 doi: 10.1631/FITEE.1601846

Abstract: To solve these problems, we propose an easy-to-use representation algorithm of syntactic word embeddingThe main procedures are: (1) A polysemous tagging algorithm is used for polysemous representation by

Keywords： Dependency-based context     Polysemous word representation     Representation learning     Syntactic word embedding    

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Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Engineering 2020, Volume 6, Issue 3,   Pages 216-217 doi: 10.1016/j.eng.2019.12.011

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Mechanism design of reverse auction on concession period and generalized quality for PPP projects

Xianjia WANG, Shiwei WU

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 156-170 doi: 10.15302/J-FEM-2017016

Abstract: Thus, the multidimensional reverse auction model of a PPP project can be replaced by a two-dimensionalMoreover, two feasible multidimensional reverse auctions for implementing such a direct mechanism: Adjusting

Keywords： PPP project     reverse auction     mechanism design     multidimensional information     scoring function     two-stage    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and unary classification

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: The self-supervised representation learning uses a sequence-based Triplet Loss.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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Reduced kinetic mechanism of -heptane oxidation in modeling polycyclic aromatic hydrocarbon formation in opposed-flow diffusion flames

ZHONG Beijing, XI Jun

Frontiers in Energy 2008, Volume 2, Issue 3,   Pages 326-332 doi: 10.1007/s11708-008-0047-9

Abstract: A reduced mechanism, which could couple with the multidimensional computational fluid dynamics code for

Keywords： phenanthrene     multidimensional computational     sensitivity analysis     polycyclic     mechanism    

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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysfunction, and neuromuscular disorder, among other conditions. Identifying the causes of dyspnea in clinical practice, especially for the general practitioner, remains a challenge. This pilot study aimed to develop a computer-aided tool for improving the efficiency of differential diagnosis. The disease set with dyspnea as the chief complaint was established on the basis of clinical experience and epidemiological data. Differential diagnosis approaches were established and optimized by clinical experts. The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality graph knowledge-based editor. Twenty-eight diseases and syndromes were included in the disease set. The model contained 132 variables of symptoms, signs, and serological and imaging parameters. Medical records from the electronic hospital records of Suining Central Hospital were randomly selected. A total of 202 discharged patients with dyspnea as the chief complaint were included for verification, in which the diagnoses of 195 cases were coincident with the record certified as correct. The overall diagnostic accuracy rate of the model was 96.5%. In conclusion, the diagnostic accuracy of the AI model is promising and may compensate for the limitation of medical experience.

Keywords： knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

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Title Author Date Type Operation

Standard model of knowledge representation

Wensheng YIN

Journal Article

The engineering analysis of the multidimensional attribute

Xu Changshan,Qu Lei

Journal Article

The Improving Characteristics of the Gradual Gaussian Multidimensional Pre-filter for Optical Flow Estimation

Fu Jun,Xu Weipu

Journal Article

Research on Multidimensional Connotations of Megaproject Construction Organization Citizenship Behavior

Qing-hua He,De-lei Yang,Yong-kui Li,Lan Luo

Journal Article

A knowledge push technology based on applicable probability matching and multidimensional context driving

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Journal Article

Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Journal Article

Digital representation of meso-geomaterial spatial distribution and associated numerical analysis of

YUE Zhongqi

Journal Article

Uncertainty in Knowledge Representation

Li Deyi

Journal Article

A discussion of objective function representation methods in global optimization

Panos M. PARDALOS, Mahdi FATHI

Journal Article

Syntactic word embedding based on dependency syntax and polysemous analysis

Zhong-lin YE, Hai-xing ZHAO

Journal Article

Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Journal Article

Mechanism design of reverse auction on concession period and generalized quality for PPP projects

Xianjia WANG, Shiwei WU

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and unary classification

Journal Article

Reduced kinetic mechanism of -heptane oxidation in modeling polycyclic aromatic hydrocarbon formation in opposed-flow diffusion flames

ZHONG Beijing, XI Jun

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article