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Research & application of IFN in cypher science
Ye Qiusun
Strategic Study of CAE 2008, Volume 10, Issue 5, Pages 51-57
To overcome 3 shortcomings of the traditional PNCT (pure numerals ciphering technology) of that, properties of the divulging a secret, the allotted time and the dead secrets. This paper gives a novel ciphering technique based on specific properties of intelligent VCN (variable carrying numbers). All allowed cipher numbers are FCN (fixed carrying numbers), in the traditional PNCT, and their changing rules of FCN are both very simple, mechanism and too difficult to be remembered, so that they make the mentioned shortcomings of being sure secrecy in the course of nature. The VCN are extension of the FCN, which are also a new concept of numbers in a broad sense, but their complex,intelligence and flexibility in changing rules are just to overcome the 3 shortcomings of PNCT in FCN.
Keywords: variable carrying numbers (VCN) cypher science (CS) fixed carrying numbers (FCN) artificial intelligence(AI) AI-Fuzzy VCN (IFN)
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
Keywords: software as a medical device (SaMD),artificial intelligence (AI),supervision science
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
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
Keywords: advanced AI in construction safety and quality inspection Neuro-Symbolic Computing Deep Learning
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
Keywords: artificial intelligence (AI) enterprise scenarios intelligent solutions application full-stack AI AI root technology
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
Keywords: control hybrid reasoning process component uncontrolled
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
Keywords: power system operation and monitoring artificial intelligence (AI) deep learning power flow analysis
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
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
Keywords: AI ethical principles AI governance technology Machine learning Privacy Safety Fairness
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
Keywords:
cyclohexane
Bayesian Optimization for Field-Scale Geological Carbon Storage
Xueying Lu, Kirk E. Jordan, Mary F. Wheeler, Edward O. Pyzer-Knapp, Matthew Benatan
Engineering 2022, Volume 18, Issue 11, Pages 96-104 doi: 10.1016/j.eng.2022.06.011
We present a framework that couples a high-fidelity compositional reservoir simulator with Bayesian optimization (BO) for injection well scheduling optimization in geological carbon sequestration. This work represents one of the first at tempts to apply BO and high-fidelity physics models to geological carbon storage. The implicit parallel accurate reservoir simulator (IPARS) is utilized to accurately capture the underlying physical processes during CO2 sequestration. IPARS provides a framework for several flow and mechanics models and thus supports both stand-alone and coupled simulations. In this work, we use the compositional flow module to simulate the geological carbon storage process. The compositional flow model, which includes a hysteretic three-phase relative permeability model, accounts for three major CO2 trapping mechanisms: structural trapping, residual gas trapping, and solubility trapping. Furthermore, IPARS is coupled to the International Business Machines (IBM) Corporation Bayesian Optimization Accelerator (BOA) for parallel optimizations of CO2 injection strategies during field-scale CO2 sequestration. BO builds a probabilistic surrogate for the objective function using a Bayesian machine learning algorithm—the Gaussian process regression, and then uses an acquisition function that leverages the uncertainty in the surrogate to decide where to sample. The IBM BOA addresses the three weaknesses of standard BO that limits its scalability in that IBM BOA supports parallel (batch) executions, scales better for high-dimensional problems, and is more robust to initializations. We demonstrate these merits by applying the algorithm in the optimization of the CO2 injection schedule in the Cranfield site in Mississippi, USA, using field data. The optimized injection schedule achieves 16% more gas storage volume and 56% less water/surfactant usage compared with the baseline. The performance of BO is compared with that of a genetic algorithm (GA) and a covariance matrix adaptation (CMA)-evolution strategy (ES). The results demonstrate the superior performance of BO, in that it achieves a competitive objective function value with over 60% fewer forward model evaluations.
Keywords: Compositional flow Bayesian optimization Geological carbon storage CCUS Machine learning AI forscience
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
Keywords: prediction strain ensemble unit rank analysis error matrix
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
Keywords: quantum-inspired binary firefly algorithm topological monitor reach area power quality
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
Keywords: Nitrous oxide Biological aerated filter Microelectrode Dissolved oxygen Biofilm
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
Keywords: uncoupled state space solution layered poroelastic medium three-dimensional consolidation anisotropic permeability compressible pore fluid
Title Author Date Type Operation
Supervision System of AI-based Software as a Medical Device
Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan
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
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
Bayesian Optimization for Field-Scale Geological Carbon Storage
Xueying Lu, Kirk E. Jordan, Mary F. Wheeler, Edward O. Pyzer-Knapp, Matthew Benatan
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