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Intelligent high-speed cutting database system development

XIANG Kejun, LIU Zhanqiang, AI Xing

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 180-188 doi: 10.1007/s11465-008-0038-x

Abstract: Then, by analyzing and comparing intelligent reasoning methods frequently used, the hybrid reasoningcomponent parts and working process of the high-speed cutting database system on the basis of hybrid reasoning

Keywords： control     hybrid reasoning     process     component     uncontrolled    

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A novel task-oriented framework for dual-arm robotic assembly task

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 528-545 doi: 10.1007/s11465-021-0638-2

Abstract: workpieces, where the performance of tasks can be abstracted as a high-level state for intelligent reasoningThe assembly task and manipulation sequences can be obtained by analyzing and reasoning the state transition

Keywords： dual-arm assembly     AI reasoning     intelligent system     task-oriented motion planning     visual perception    

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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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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: paper, we review recent emerging theoretical and technological advances of artificial intelligence (AIknowledge (common priors or implicit intuitions) can effectively lead to explainable, robust, and general AI, as follows: from shallow computation to deep neural reasoning; from merely data-driven model to data-drivenMotivated by such endeavors, the next generation of AI, namely AI 2.0, is positioned to reinvent computing

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

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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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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: of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidification reasoningfinding 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： aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification and reasoning    

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Platform governance in the era of AI and the digital economy

Frontiers of Engineering Management 2023, Volume 10, Issue 1,   Pages 177-182 doi: 10.1007/s42524-022-0241-1

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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: Deep Learning (DL) has revolutionized the field of Artificial Intelligence (AI) in various domains suchinterpretability and explainability, potential bias and fairness issues, and limitations in common sense reasoningThe integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoningNSC has the potential to enable more robust, interpretable, and accurate AI systems in construction byharnessing the strengths of DL and symbolic reasoning.

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning    

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Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 173-183 doi: 10.15302/J-SSCAE-2022.07.010

Abstract: style="text-align: justify;">Deep learning has enhanced the versatility of artificial intelligence (AIIn the last decade, the AI industry has been spawned and developing rapidly.pertaining to industrial application of AI and propose corresponding suggestions.technologies that focus on full-stack AI, AI basic platform and tool system, and AI root technology,thus to improve the independence of China's AI core technologies.

Keywords： artificial intelligence (AI)     enterprise scenarios     intelligent solutions     application     full-stack AI     AI root technology    

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A New Evolution-reasoning Method in Conceptual Design Based on Extension Theory

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Strategic Study of CAE 2003, Volume 5, Issue 5,   Pages 63-69

Abstract:

After existing study methods are analyzed, a new researching model for conceptual design based on extension and genetic algorithms was presented. The inner-model and outer-model of product project were set up with matter elements. In genetic algorithms the coding for individual, the means for cross-over and mutation were all founded based on the inner-model. The fitness function was set up combined with relationship function. The technique solves the innovative and incompatible problems in conceptual design. The feasibility of the new researching model is testified by three conceptual design examples for retarder.

Keywords： conceptual design     matter elements transform     genetic algorithms     evolution reasoning     extension appraisal    

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Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Strategic Study of CAE 2003, Volume 5, Issue 2,   Pages 68-74

Abstract:

Generally, reasoning theory can be divided into certainty reasoning theory and uncertainty reasoningcapability, but certainty reasoning theory can not realize the capability.Fortunately, uncertainty reasoning theory can meet this requirement.set theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and sotheory of the uncertainty reasoning theory are used respectively.

Keywords： satellite     fault     detection     diagnosis     uncertainty reasoning theory    

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

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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Progress in Neural NLP: Modeling, Learning, and Reasoning Review

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Engineering 2020, Volume 6, Issue 3,   Pages 275-290 doi: 10.1016/j.eng.2019.12.014

Abstract:

Natural language processing (NLP) is a subfield of artificial intelligence (AI) that focuses on enablingthe neural network-based NLP framework (neural NLP) from three perspectives: modeling, learning, and reasoningWe view reasoning as a new and exciting direction for neural NLP, but it has yet to be well addressedIn the reasoning section, we will review reasoning mechanisms, including the knowledge, existing non-neuralWe emphasize the importance of reasoning in this paper because it is important for building interpretable

Keywords： Natural language processing     Deep learning     Modeling     learning     and Reasoning    

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Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 71-85 doi: 10.1007/s11708-018-0589-4

Abstract: In recent years, the artificial intelligence (AI) technology is becoming more and more popular in manyHowever, the application of AI techniques in power systems is still in its infancy.Therefore, in this paper, the application potentials of AI technologies in power systems will be discussedFor the power system operation, the problems, the demands, and the possible applications of AI techniquesnetwork (NN) for power flow analysis is provided as a simple example to demonstrate the viability of AI

Keywords： power system operation and monitoring     artificial intelligence (AI)     deep learning     power flow analysis    

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Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Engineering 2019, Volume 5, Issue 5,   Pages 817-818 doi: 10.1016/j.eng.2019.08.009

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Title Author Date Type Operation

Intelligent high-speed cutting database system development

XIANG Kejun, LIU Zhanqiang, AI Xing

Journal Article

A novel task-oriented framework for dual-arm robotic assembly task

Journal Article

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

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

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

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Journal Article

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

Platform governance in the era of AI and the digital economy

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Journal Article

A New Evolution-reasoning Method in Conceptual Design Based on Extension Theory

Hao Yanwei,Liu Haisheng,Zhang Guoxian

Journal Article

Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Journal Article

to “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

Progress in Neural NLP: Modeling, Learning, and Reasoning

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Journal Article

Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Journal Article

Mathematical Reasoning Challenges Artificial Intelligence

Sean O’Neill

Journal Article