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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: been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledgeRCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensurereasoning model is proposed.finding 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： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidificationand reasoning     root cause analysis    

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Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal KnowledgeReasoning” 

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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Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 208-220 doi: 10.15302/J-SSCAE-2023.02.018

Abstract: and propose a research framework of “data knowledgeization, knowledge systematization, and knowledgereasoning”.Secondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representation, and knowledge reasoning and introduce engineering applications in typical scenarios such as smart educationknowledge coding and memorizing.

Keywords： Big Data Knowledge Engineering     Knowledge Acquisition     Knowledge Fusion     Knowledge Representation     KnowledgeReasoning    

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Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems

Zheng Qinghua , Shi Bin , Dong Bo

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 221-231 doi: 10.15302/J-SSCAE-2023.07.005

Abstract: status and challenges facing China’s intelligent taxation field, we proposed a big data knowledgeengineering approach that emphasizes data knowledgeization, knowledge systematization, and knowledgereasonability, and developed a five-layer technical architecture that consists of knowledge sources,knowledge extraction, knowledge mapping, knowledge reasoning, and application layers.After elaborating the representative application scenarios including knowledge-driven tax preference

Keywords： smart taxation     knowledge engineering     big data     knowledge graph     knowledge reasoning    

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

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

Engineering 2016, Volume 2, Issue 3,   Pages 366-373 doi: 10.1016/J.ENG.2016.03.019

Abstract: Based on the temporal fuzzy reasoning method, with some adjustment, a new conflict prediction methodCorrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal KnowledgeReasoning” [Engineering (2016) 366–373][J].

Keywords： High-speed railway     Train timetable     Conflict prediction     Fuzzy temporal knowledge reasoning    

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The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 70-73

Abstract:

The thesis standardized the extension information and the extension knowledge, that is, basing onthe information and knowledge, the thesis extended the mutative information and knowledge, and naileddown the conceptions of extension data mining and extension reasoning.This thesis also attested two theorems of the extension data mining and the formula of the extension reasoningthe mutative knowledge.

Keywords： extension information     extension knowledge     extension data mining     extension reasoning    

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Challenges and opportunities: from big data to knowledge inAI 2.0 Review

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 3-14 doi: 10.1631/FITEE.1601883

Abstract: We conclude that integrating data-driven machine learning with human knowledge (common priors or impliciteffectively lead to explainable, robust, and general AI, as follows: from shallow computation to deep neural reasoningAI, namely AI 2.0, is positioned to reinvent computing itself, to transform big data into structured knowledge

Keywords： Deep reasoning     Knowledge base population     Artificial general intelligence     Big data     Cross media    

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Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction

Yang Tianshe,Yang Kaizhong,Li Huaizu

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 63-67

Abstract: Usually, one kind of reasoning model can only diagnose and predict one kind of satellite faults.This paper proposes a new method in which the use of multi-modal reasoning for satellite fault diagnosisThe method has been used in the development of the knowledge-based satellite fault diagnosis and recovery

Keywords： satellite     fault     diagnosis     prediction     multi-modal reasoning    

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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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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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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.To establish the intrinsic link between various knowledge representation methods, a unified knowledgeThis knowledge representation method is not a contradiction to the traditional knowledge representationIt can express knowledge in terms of multivariate and multidimensional.and inconsistent knowledge.

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

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A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 50-64

Abstract:

Knowledge has been very important wealth to the mankind but there has not a knowledge theory existedAn attempt is thus made in the paper to present a framework of knowledge theory that includes two parts: fundamentals and the main body of knowledge theory.such as the related concepts and definitions, the methods of representation, the measurements, the reasoningthe mechanism of intelligence formation based on the activation of knowledge.

Keywords： knowledge     amount of knowledge     knowledge formation     knowledge activation     unified theory of information-knowledge-intelligence    

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Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 136-143 doi: 10.15302/J-FEM-2016030

Abstract: In this paper, an application mode and method of knowledge management in remanufacturing engineeringThe relationships between knowledge transfer, knowledge sharing and remanufacturing engineering managementIt is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the

Keywords： remanufacturing     engineering management     knowledge transfer and sharing     knowledge management    

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

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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The application and deepening of knowledge management system

Li Hua

Strategic Study of CAE 2011, Volume 13, Issue 8,   Pages 87-93

Abstract:

In the knowledge economy era, enterprises begin to realize that the mostvaluable property is knowledge.Effectively implementing the knowledge management system should be guided by the correct principles.The selection of sharing knowledge, building knowledge sharing platform and storage management unit,leading knowledge exchange and implementing incentive policies should be emphasized.

Keywords： knowledge management     knowledge sharing     knowledge forum    

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Title Author Date Type Operation

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

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

Journal Article

Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal KnowledgeReasoning” 

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

Journal Article

Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Journal Article

Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems

Zheng Qinghua , Shi Bin , Dong Bo

Journal Article

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

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

Journal Article

The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Journal Article

Challenges and opportunities: from big data to knowledge inAI 2.0

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Journal Article

Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction

Yang Tianshe,Yang Kaizhong,Li Huaizu

Journal Article

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Journal Article

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

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Journal Article

Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Journal Article

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

Journal Article

The application and deepening of knowledge management system

Li Hua

Journal Article