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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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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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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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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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Ensemble unit and AI techniques for prediction of rock strain

Pradeep T; Pijush SAMUI; Navid KARDANI; Panagiotis G ASTERIS

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 858-870 doi: 10.1007/s11709-022-0831-3

Abstract: Many researchers employ AI technology in order to solve these difficulties.AI algorithms such as gradient boosting machine (GBM), support vector regression (SVR), random forest

Keywords： prediction     strain     ensemble unit     rank analysis     error matrix    

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Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 254-260 doi: 10.1007/s11708-014-0302-1

Abstract: The application of a quantum-inspired firefly algorithm was introduced to obtain optimal power quality monitor placement in a power system. The conventional binary firefly algorithm was modified by using quantum principles to attain a faster convergence rate that can improve system performance and to avoid premature convergence. In the optimization process, a multi-objective function was used with the system observability constraint, which is determined via the topological monitor reach area concept. The multi-objective function comprises three functions: number of required monitors, monitor overlapping index, and sag severity index. The effectiveness of the proposed method was verified by applying the algorithm to an IEEE 118-bus transmission system and by comparing the algorithm with others of its kind.

Keywords： quantum-inspired binary firefly algorithm     topological monitor reach area     power quality    

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Impact of dissolved oxygen on the production of nitrous oxide in biological aerated filters

Qiang He, Yinying Zhu, Guo Li, Leilei Fan, Hainan Ai, Xiaoliu Huangfu, Hong Li

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0964-0

Abstract: Polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and microelectrode technology were employed to evaluate the Nitrous oxide (N O) production in biological aerated filters (BAFs) under varied dissolved oxygen (DO) concentrations during treating wastewater under laboratory scale. The average yield of gasous N O showed more than 4-fold increase when the DO levels were reduced from 6.0 to 2.0 mg·L , indicating that low DO may drive N O generation. PCR-DGGE results revealed that were dominant and may be responsible for N O emission from the BAFs system. While at a low DO concentration (2.0 mg·L ), might play a role. When DO concentration was the limiting factor (reduced from 6.0 to 2.0 mg·L ) for nitrification, it reduced NO -N oxidation as well as the total nitrification. The data from this study contribute to explain how N O production changes in response to DO concentration, and may be helpful for reduction of N O through regulation of DO levels.

Keywords： Nitrous oxide     Biological aerated filter     Microelectrode     Dissolved oxygen     Biofilm    

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Uncoupled state space solution to layered poroelastic medium with anisotropic permeability and compressible pore fluid

Zhiyong AI, Wenze ZENG, Yichong CHENG, Chao WU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 2,   Pages 171-179 doi: 10.1007/s11709-011-0103-0

Abstract: This paper presents an uncoupled state space solution to three-dimensional consolidation of layered poroelastic medium with anisotropic permeability and compressible pore fluid. Starting from the basic equations of poroelastic medium, and introducing intermediate variables, the state space equation usually comprising eight coupled state vectors is uncoupled into two sets of equations of six and two state vectors in the Laplace-Fourier transform domain. Combined with the continuity conditions between adjacent layers and boundary conditions, the uncoupled state space solution of a layered poroelastic medium is obtained by using the transfer matrix method. Numerical results show that the anisotropy of permeability and the compressibility of pore fluid have remarkable influence on the consolidation behavior of poroelastic medium.

Keywords： uncoupled state space solution     layered poroelastic medium     three-dimensional consolidation     anisotropic permeability     compressible pore fluid    

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Roles of acid-producing bacteria in anaerobic digestion of waste activated sludge

Sijia Ai, Hongyu Liu, Mengjie Wu, Guangming Zeng, Chunping Yang

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 6, doi: 10.1007/s11783-018-1050-y

Abstract:

Three acid-producing strains were isolated and identified.

The isolated bacteria accelerated the anaerobic digestion processes.

Bacillus coagulans improved TCOD removal, VS removal and biogas production.

The optimal inoculum concentration of Bacillus coagulans AFB-1 was 30%.

Keywords： Anaerobic digestion     Waste activated sludge     Acid-producing bacteria     Bacillus coagulans    

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Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Strategic Study of CAE 2022, Volume 24, Issue 1,   Pages 198-204 doi: 10.15302/J-SSCAE-2022.01.021

Abstract: Artificial intelligencebased software as a medical device (AI-Based SaMD) is an important product inthe health field enabled by artificial intelligence (AI).As AI develops further, its unique black box algorithm and independent learning ability have posed majorThis article summarizes the current status of supervision systems and supporting resources of AI-BasedIn addition, we explore the problems and challenges of AI-Based SaMD in China.

Keywords： software as a medical device (SaMD)，artificial intelligence (AI)，supervision science    

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Toward Human-in-the-loop AI: Enhancing Deep Reinforcement Learning Via Real-time Human Guidance for Autonomous Article

Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv

Engineering 2023, Volume 21, Issue 2,   Pages 75-91 doi: 10.1016/j.eng.2022.05.017

Abstract: complex scenarios, it is crucial to introduce humans into the training loop of artificial intelligence (AI

Keywords： Human-in-the-loop AI     Deep reinforcement learning     Human guidance     Autonomous driving    

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Title Author Date Type Operation

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

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

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

Ensemble unit and AI techniques for prediction of rock strain

Pradeep T; Pijush SAMUI; Navid KARDANI; Panagiotis G ASTERIS

Journal Article

Novel quantum-inspired firefly algorithm for optimal power quality monitor placement

Ling Ai WONG,Hussain SHAREEF,Azah MOHAMED,Ahmad Asrul IBRAHIM

Journal Article

Impact of dissolved oxygen on the production of nitrous oxide in biological aerated filters

Qiang He, Yinying Zhu, Guo Li, Leilei Fan, Hainan Ai, Xiaoliu Huangfu, Hong Li

Journal Article

Uncoupled state space solution to layered poroelastic medium with anisotropic permeability and compressible pore fluid

Zhiyong AI, Wenze ZENG, Yichong CHENG, Chao WU

Journal Article

Roles of acid-producing bacteria in anaerobic digestion of waste activated sludge

Sijia Ai, Hongyu Liu, Mengjie Wu, Guangming Zeng, Chunping Yang

Journal Article

Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Journal Article

Toward Human-in-the-loop AI: Enhancing Deep Reinforcement Learning Via Real-time Human Guidance for Autonomous

Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv

Journal Article