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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 suchOn the other side, DL has shown significant potential in construction for safety and quality inspectionNSC has the potential to enable more robust, interpretable, and accurate AI systems in construction bymodels and advance CV technologies for precise reporting of safety and quality inspection results in construction

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

Advanced construction of science and technology with meta-synthetic wisdom

Dai Ruiwei

Strategic Study of CAE 2008, Volume 10, Issue 10,   Pages 4-8

Abstract:

The advanced construction of science and technology with meta-syntheticBesides, from system construction of science and technology, the research and discussion of intelligent

Keywords: advanced construction of science and technology     meta-synthetic wisdom     open complex giant system (OCGS    

Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 67-74 doi: 10.15302/J-SSCAE-2021.03.004

Abstract: The recent development of artificial intelligence (AI) has had a very important impact on content securityIn this article, we summarize the research status and development trends of AI-based content securityabroad based on the major strategic demand therefor, and presents the key technical issues regarding AI-basedInnovation and breakthroughs should be made in areas such as adversarial machine learning, explainable AIMeanwhile, the construction of policies, regulations, and regulatory mechanisms should be emphasized.

Keywords: artificial intelligence (AI),content security,system construction    

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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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    

Construction geology technology of Karst tunnels on Yichang-Wanzhou Railway

Shen Zhijun

Strategic Study of CAE 2009, Volume 11, Issue 12,   Pages 47-52

Abstract:

Taking the construction geology technology practice of karst tunnelson Yichang-Wuanzhou Railway as an example, construction geology, which is a continuation of engineeringTaking advanced geology predication as its subject, aiming at avoiding large-scale construction geologicalharzards, construction geology refers to the comprehensive engineering geology work for ensuring constructionConstruction geology includes comprehensive advanced geology predication, hydrogeological observation

Keywords: Yichang-Wanzhou Railway     comprehensive advanced geology predication     hydrological monitoring    

Construction of Modern Science and Technology Support System for Advanced Manufacturing Clusters

Gan Yong, Xie Man, Lian Haiqiang, Zou Weilong, Wang Hui

Strategic Study of CAE 2022, Volume 24, Issue 2,   Pages 22-28 doi: 10.15302/J-SSCAE-2022.02.003

Abstract:

Advanced manufacturing clusters are crucial for building a manufacturingpower and are key to the construction of a modern industrial system and high-quality industrial development, we summarize international experiences in establishing science and technology support systems for advancedHerein we categorize the advanced manufacturing clusters into basic, strategic, and cutting-edge technologyMoreover, we explore the development directions and propose the construction paths for these manufacturing

Keywords: advanced manufacturing,industrial clusters,science and technology support system,industrial structure    

Preface to special issue on “Advanced Materials and Catalysis”

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 6,   Pages 1357-1359 doi: 10.1007/s11705-021-2119-x

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: In this paper, the components of a high-speed cutting system are analyzed firstly. The component variables of the high-speed cutting system are classified into four types: uncontrolled variables, process variables, control variables, and output variables. The relationships and interactions of these variables are discussed. Then, by analyzing and comparing intelligent reasoning methods frequently used, the hybrid reasoning is employed to build the high-speed cutting database system. Then, the data structures of high-speed cutting case base and databases are determined. Finally, the component parts and working process of the high-speed cutting database system on the basis of hybrid reasoning are presented.

Keywords: control     hybrid reasoning     process     component     uncontrolled    

Discussion on advanced manufacturing

WANG Xiankui

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 251-262 doi: 10.1007/s11465-007-0044-4

Abstract: Advanced manufacturing consists of continuity of manufacturing, its broad sense, and the core of the

Keywords: development     national     manufacturing process     support environment     mechanical manufacturing    

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    

Toward New-Generation Intelligent Manufacturing Perspective

Zhou Ji, Li Peigen, Zhou Yanhong, Wang Baicun, Zang Jiyuan, Meng Liu

Engineering 2018, Volume 4, Issue 1,   Pages 11-20 doi: 10.1016/j.eng.2018.01.002

Abstract: intelligent manufacturing represents an indepth integration of new-generation artificial intelligence (AI) technology and advanced manufacturing technology.

Keywords: Advanced manufacturing     New-generation intelligent manufacturing     Human-cyber-physical system     New-generationAI     Basic paradigms     Parallel promotion     Integrated development    

Ni-Co bimetallic catalyst for CH

Xiaohong LI, Jun AI, Wenying LI, Dongxiong LI

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 4,   Pages 476-480 doi: 10.1007/s11705-010-0512-y

Abstract: A co-precipitation method was employed to prepare Ni/Al O -ZrO , Co/Al O -ZrO and Ni-Co/Al O -ZrO catalysts. Their properties were characterized by N adsorption (BET), thermogravimetric analysis TGA , temperature-programmed reduction (TPR), temperature-programmed desorption (CO -TPD), and temperature-programmed surface reaction (CH -TPSR and CO -TPSR). Ni-Co/Al O -ZrO bimetallic catalyst has good performance in the reduction of active components Ni, Co and CO adsorption. Compared with mono-metallic catalyst, bimetallic catalyst could provide more active sites and CO adsorption sites (C+ CO = 2CO) for the methane-reforming reaction, and a more appropriate force formed between active components and composite support (SMSI) for the catalytic reaction. According to the CH -CO -TPSR, there were 80.9% and 81.5% higher CH and CO conversion over Ni-Co/Al O -ZrO catalyst, and its better resistance to carbon deposition, less than 0.5% of coke after 4 h reaction, was found by TGA. The high activity and excellent anti-coking of the Ni-Co/Al O -ZrO catalyst were closely related to the synergy between Ni and Co active metal, the strong metal-support interaction and the use of composite support.

Keywords: Ni-Co bimetallic catalyst     composite support     CH4 reforming with CO2    

Ethical Principles and Governance Technology Development of AI in China Review

Wenjun Wu, Tiejun Huang, Ke Gong

Engineering 2020, Volume 6, Issue 3,   Pages 302-309 doi: 10.1016/j.eng.2019.12.015

Abstract: Ethics and governance are vital to the healthy and sustainable development of artificial intelligence (AIWith the long-term goal of keeping AI beneficial to human society, governments, research organizations, and companies in China have published ethical guidelines and principles for AI, and have launched projectsto develop AI governance technologies.It also describes the major research challenges in AI governance research and discusses future research

Keywords: AI ethical principles     AI governance technology     Machine learning     Privacy     Safety     Fairness    

One-step synthesis of

Kuiyi YOU, Fangfang ZHAO, Xueyan LONG, Pingle LIU, Qiuhong AI, Hean LUO

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 389-394 doi: 10.1007/s11705-012-1218-0

Abstract: A simple and efficient approach for the synthesis of -caprolactam via the liquid phase nitrosation of cyclohexane and nitrosyl sulfuric acid in the presence of concentrated sulfuric acid has been developed. A series of novel AlVPO composites were prepared by an impregnation method and the composites were then employed to catalyze the nitrosation reaction of cyclohexane and nitrosyl sulfuric acid. Compared to the reaction using fuming sulfuric acid, the selectivity for the desired product was significantly improved using this one-step catalytic process. This method affords a shortcut to prepare -caprolactam and its analogs from cyclohexane.

Keywords: cyclohexane     ?-caprolactam     AlVPO composite catalysts     one-step synthesis     concentrated sulfuric acid    

Title Author Date Type Operation

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

Journal Article

Advanced construction of science and technology with meta-synthetic wisdom

Dai Ruiwei

Journal Article

Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Journal Article

Platform governance in the era of AI and the digital economy

Journal Article

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

Xu Wenwei, Xiao Lizhi, Liu He

Journal Article

Construction geology technology of Karst tunnels on Yichang-Wanzhou Railway

Shen Zhijun

Journal Article

Construction of Modern Science and Technology Support System for Advanced Manufacturing Clusters

Gan Yong, Xie Man, Lian Haiqiang, Zou Weilong, Wang Hui

Journal Article

Preface to special issue on “Advanced Materials and Catalysis”

Journal Article

Intelligent high-speed cutting database system development

XIANG Kejun, LIU Zhanqiang, AI Xing

Journal Article

Discussion on advanced manufacturing

WANG Xiankui

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

Toward New-Generation Intelligent Manufacturing

Zhou Ji, Li Peigen, Zhou Yanhong, Wang Baicun, Zang Jiyuan, Meng Liu

Journal Article

Ni-Co bimetallic catalyst for CH

Xiaohong LI, Jun AI, Wenying LI, Dongxiong LI

Journal Article

Ethical Principles and Governance Technology Development of AI in China

Wenjun Wu, Tiejun Huang, Ke Gong

Journal Article

One-step synthesis of

Kuiyi YOU, Fangfang ZHAO, Xueyan LONG, Pingle LIU, Qiuhong AI, Hean LUO

Journal Article