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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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Tracing the impact of stack configuration on interface resistances in reverse electrodialysis by in situ

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-021-1480-9

Abstract:

• RED performance and stack resistance were studied by EIS and LSV.

Keywords： Reverse electrodialysis     Electrochemical impedance spectroscopy     Concentration polarization     Spacer shadow effect    

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Investigating the raveling test for full-depth reclamation

Robert HILL, Andrew BRAHAM

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 2,   Pages 222-226 doi: 10.1007/s11709-017-0423-9

Abstract: Full-Depth Reclamation (FDR) is a sustainable method of building pavement structure compared to more

Keywords： raveling     full depth reclamation    

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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 suchNSC has the potential to enable more robust, interpretable, and accurate AI systems in construction by

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

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Partial anammox achieved in full scale biofilm process for typical domestic wastewater treatment

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1467-6

Abstract:

• A full scale biofilm process was developed for typical domestic wastewater

Keywords： Full scale     Anammox     Domestic wastewater     Biofilm     Candidatus Brocadia    

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Novel sensing techniques for full-scale testing of civil structures

Kaoshan DAI, Zhenhua HUANG

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 240-256 doi: 10.1007/s11709-012-0172-8

Abstract: Performing full-scale structural testing is an important methodology for researchers and engineers inFull scale testing helps the researchers understand civil infrastructures’ loading scenarios, behaviorsTo conduct a full-scale structural testing, sensors are used for data acquisitions.and select the most effective sensors, this study reviewed and categorized new sensing techniques for full-scaleThe detailed descriptions of wireless sensors and remote sensing techniques and their on-site full-scale

Keywords： sensing technique     full-scale testing     wireless sensor     remote sensing     LiDAR     laser vibrometer    

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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: 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    

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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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Influence of using amorphous silicon stack as front heterojunction structure on performance of interdigitated

Rui JIA,Ke TAO,Qiang LI,Xiaowan DAI,Hengchao SUN,Yun SUN,Zhi JIN,Xinyu LIU

Frontiers in Energy 2017, Volume 11, Issue 1,   Pages 96-104 doi: 10.1007/s11708-016-0434-6

Abstract: simulations have been performed to investigate the potential of front surface field (FSF) offered by stack

Keywords： amorphous silicon     front surface field     simulations     interdigitated back contact-heterojunction solar cells    

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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    

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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    

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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    

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Optimizing the configuration of a clearwell by integrating pilot and full-scale tracer testing

LIU Wenjun, DU Zhipeng, JIN Junwei

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 270-275 doi: 10.1007/s11783-007-0045-x

Abstract: factors impacting the plug flow pattern of a clearwell were investigated by integrating pilot-scale, full-scaleIt was found that pilot tracer testing, full-scale tracer testing and CFD simulation all demonstrated
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Bending failure performance of a shield tunnel segment based on full-scale test and numerical analysis

Frontiers of Structural and Civil Engineering   Pages 1033-1046 doi: 10.1007/s11709-023-0973-y

Abstract: A full-scale test was conducted to investigate deformation and failure characteristics.

Keywords： shield tunnel     bearing capacity     failure mechanism     segment reinforcement    

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Title Author Date Type Operation

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

Xu Wenwei, Xiao Lizhi, Liu He

Journal Article

Tracing the impact of stack configuration on interface resistances in reverse electrodialysis by in situ

Journal Article

Investigating the raveling test for full-depth reclamation

Robert HILL, Andrew BRAHAM

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

Partial anammox achieved in full scale biofilm process for typical domestic wastewater treatment

Journal Article

Novel sensing techniques for full-scale testing of civil structures

Kaoshan DAI, Zhenhua HUANG

Journal Article

Intelligent high-speed cutting database system development

XIANG Kejun, LIU Zhanqiang, AI Xing

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

Influence of using amorphous silicon stack as front heterojunction structure on performance of interdigitated

Rui JIA,Ke TAO,Qiang LI,Xiaowan DAI,Hengchao SUN,Yun SUN,Zhi JIN,Xinyu 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

Optimizing the configuration of a clearwell by integrating pilot and full-scale tracer testing

LIU Wenjun, DU Zhipeng, JIN Junwei

Journal Article

Bending failure performance of a shield tunnel segment based on full-scale test and numerical analysis

Journal Article