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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: condition has long been a challenging industrial issue due to its inherent complexity in analyzing based on multi-sourceRCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensureIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationreasoning model is proposed.The 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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A platform of digital brain using crowd power Article

Dongrong XU, Fei DAI, Yue LU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 78-90 doi: 10.1631/FITEE.1700800

Abstract: crowd wisdom for brain research, based on the computational artificial intelligence model of synthesis reasoningand multi-source analogical generating.of the platform aims to make it a comprehensive brain database, a brain phantom generator, a brain knowledge

Keywords： Artificial intelligence     Digital brain     Synthesis reasoning     Multi-source analogical generating     Crowd wisdom    

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Dual collaboration for decentralized multi-source domain adaptation Research Article

Yikang WEI, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1780-1794 doi: 10.1631/FITEE.2200284

Abstract: On the unlabeled target domain, the target model needs to transfer supervision knowledge with the collaborationof source models, while the domain gap will lead to limited adaptation performance from source modelsOn the labeled source domain, the source model tends to overfit its domain data in the scenario, whichOn the target domain, we train the local target model by distilling supervision knowledge and fully usingOn the source domain, we regularize the local source models in collaboration with the local target model

Keywords： Multi-source domain adaptation     Data decentralization     Domain shift     Negative transfer    

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Retraction Note to: Dynamic stability enhancement of interconnected multi-source power systems usinghierarchical ANFIS controller-TCSC based on multi-objective PSOs Retraction Note

Ali Darvish FALEHI, Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5, doi: 10.1631/FITEE.19r0001

Abstract: None

Keywords： None    

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RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO Article

Ali Darvish FALEHI,Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 394-409 doi: 10.1631/FITEE.1500317

Abstract: which is one series type of the FACTS family, is used to augment the overall dynamic performance of a multi-areamulti-source interconnected power system.For this purpose, a multi-objective optimization technique is inevitable.Multi-objective particle swarm optimization (MOPSO) has been chosen for this optimization problem, owinghas been precisely evaluated and compared with that of the conventional MOPSO-TCSC in two different multi-area

Keywords： controller (HANFISC)     Thyristor-controlled series compensator (TCSC)     Automatic generation control (AGC)     Multi-objectiveparticle swarm optimization (MOPSO)     Power system dynamic stability     Interconnected multi-source power    

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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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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: complex structure and the unique of operating environment of satellites as well as the presence of multi-sourceUsually, 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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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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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract:

Enhancement of farming management relies heavily on enhancing farmer knowledge.Therefore, this article proposes an interactive knowledge learning approach using artificial intelligenceThe interactive knowledge learning approach aims to identify and rectify incorrect practices in the knowledge-basedInvestigations show that the interactive knowledge learning approach can make a strong contribution toprevention of the overuse of nitrogen and phosphorus fertilizers, and mitigating agricultural non-point source

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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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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3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 103-107

Abstract:

Based on multi-source data, a fitting geological surface is required

Keywords： geological surface     interpolation-approximation fitting     3D construction     multi-source geological data    

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Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting Article

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Engineering 2023, Volume 24, Issue 5,   Pages 213-229 doi: 10.1016/j.eng.2022.06.007

Abstract:

Evaluating the impact of multi-source uncertainties in complex forecasting systems is essential tounderstanding and improving the systems Previous studies have paid little attention to the influence of multi-sourcedeveloped a general ensemble framework based on Bayesian model averaging (BMA) for evaluating the impact of multi-sourceThe developed multi-source uncertainty assessment framework improves our understanding of the complex

Keywords： and hydrological forecasting     Uncertainty estimation     Bayesian model averaging     Ensemble prediction     Multi-model    

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Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source

Yilan Cui, Xing Xie, Yi Liu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1068-1

Abstract:

Check-in and survey data are explored to identify personal activity-specific places.

Ways for detecting and moderating sample bias of Weibo check-in data is proposed.

A graphic representation of urban activity intensity in Beijing, China is presented.

The potential application of Weibo check-in data for urban analysis is introduced.

Keywords： Social media     Human mobility     Population bias     Sample reconstruction     Data integration    

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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

A platform of digital brain using crowd power

Dongrong XU, Fei DAI, Yue LU

Journal Article

Dual collaboration for decentralized multi-source domain adaptation

Yikang WEI, Yahong HAN

Journal Article

Retraction Note to: Dynamic stability enhancement of interconnected multi-source power systems usinghierarchical ANFIS controller-TCSC based on multi-objective PSOs

Ali Darvish FALEHI, Ali MOSALLANEJAD

Journal Article

RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO

Ali Darvish FALEHI,Ali MOSALLANEJAD

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

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

Yang Tianshe,Yang Kaizhong,Li Huaizu

Journal Article

Development and Prospect of Big Data Knowledge Engineering

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

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

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

3D interpolation-approximation fitting construction method for complex geological surfaces

Li Mingchao,Miao Zhengjian,Liu Fei,Wang Gang

Journal Article

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Journal Article

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source

Yilan Cui, Xing Xie, Yi Liu

Journal Article