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Phase synchronization and energy balance between neurons Research Article

Ying XIE, Zhao YAO, Jun MA

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1407-1420 doi: 10.1631/FITEE.2100563

Abstract: These results provide guidance for designing and training intelligent neural networks by taming the coupling

Keywords： Hamilton energy     Coupling synchronization     Synapse enhancement     Neural circuit    

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Self-catalytic pyrolysis thermodynamics of waste printed circuit boards with co-existing metals

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 11, doi: 10.1007/s11783-022-1581-0

Abstract:

● The co-existing metals in WPCBs has positive catalytic influence in pyrolysis.

Keywords： Waste printed circuit board     Catalyst     Pyrolysis     Kinetics    

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Non-toxic, high selectivity process for the extraction of precious metals from waste printed circuit

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 10, doi: 10.1007/s11783-023-1723-z

Abstract:

● Au, Ag and Pd were recovered from WPCBs with high efficiencies.

Keywords： Thiosulfate     Printed circuit boards     Precious metals     Leaching     Hydrometallurgy    

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Research on the equivalent circuit parameter　of single linear induction motor

Xu Wei,Sun Guangsheng

Strategic Study of CAE 2008, Volume 10, Issue 8,   Pages 76-80

Abstract:

The SLIM parameter has clear error to its real value on the base of the RIM parameter measurement method because it has larger air gap and edge effect. This paper proposes a new scheme suited for SLIM parameter detection. It only needs input total power, phase voltage, phase current, frequency, and then computes primary resistance, primary leakage induction, secondary resistance, secondary leakage induction, air induction and iron loss resistance. The performance analysis of SLIM indicates that this method is very effective and valuable.

Keywords： single linear induction motor     open-secondary circuit experiment     blocked-secondary circuit experiment     parameter measurement     equivalent circuit    

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Equivalent circuit and characteristic simulation of a brushless electrically excited synchronous wind

Hao WANG, Fengge ZHANG, Tao GUAN, Siyang YU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 420-426 doi: 10.1007/s11465-017-0439-9

Abstract: In view of this problem, the equivalent circuit and electromagnetic torque expression of the BEESG areThe generator is simulated and tested experimentally using the established equivalent circuit model.Results show the validity of the equivalent circuit model.

Keywords： wind power     brushless electrically excited synchronous generator     hybrid rotor     equivalent circuit    

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Copper recovery from waste printed circuit boards concentrated metal scraps by electrolysis

Xiaonan Liu, Qiuxia Tan, Yungui Li, Zhonghui Xu, Mengjun Chen

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 5, doi: 10.1007/s11783-017-0997-4

Abstract: Copper recovery is the core of waste printed circuit boards (WPCBs) treatment.Thus, electrolysis proposes a feasible and prospective approach for waste printed circuit boards recycle

Keywords： Waste printed circuit boards (WPCBs)     Copper     Recovery rate     Purity     Electrolysis    

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Copper fractal growth during recycling from waste printed circuit boards by slurry electrolysis

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1405-7

Abstract:

• Copper fractal growth was observed during WPCBs recycling by slurry electrolysis.

Keywords： Dendritic copper     Fractal growth     WPCBs     Slurry electrolysis    

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Enhancement of open circuit voltage in organic solar cells by doping a fluorescent red dye

Qing LI, Junsheng YU, Yue ZANG, Nana WANG, Yadong JIANG

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 179-183 doi: 10.1007/s11708-012-0177-y

Abstract: The open circuit voltage ( ) of small-molecule organic solar cells (OSCs) could be improved by doping

Keywords： organic solar cells (OSCs)     open circuit voltage     fluorescent dye doping     4-(dicyanomethylene)-2-t-butyl    

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A critical review on the recycling of copper and precious metals from waste printed circuit boards using

Zebing Wu, Wenyi Yuan, Jinhui Li, Xiaoyan Wang, Lili Liu, Jingwei Wang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 5, doi: 10.1007/s11783-017-0995-6

Abstract: In particular, waste printed circuit boards (PCBs) have become of global concern with regard to environmental

Keywords： Waste PCBs     Precious metals     Hydrometallurgy     Recycling     Leaching     Recovery    

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Fractional-order memristive neural synaptic weighting achieved by pulse-based fracmemristor bridge circuit Research Articles

Yifei Pu, Bo Yu, Qiuyan He, Xiao Yuan,heqiuyan789@163.com,yuanxiao@scu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 862-876 doi: 10.1631/FITEE.2000085

Abstract: We propose a novel circuit for the fractional-order memristive neural synaptic weighting (FMNSW).The introduced circuit is different from the majority of the previous integer-order approaches and offersFirst, the circuit configuration of the FMNSW is explained using a pulse-based bridge circuit.mechanisms that underlie learning and memory, which is superior to the traditional integer-order memristive neuralsynaptic weighting, is considered a major advantage for the proposed circuit.

Keywords： 分数阶微积分；分忆抗；分忆抗值；分数阶忆阻；分数阶记忆性突触    

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current measurement of the thickness of top Cu film of the multilayer interconnects in the integrated circuit

Zilian QU,Yonggang MENG,Qian ZHAO

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1,   Pages 1-6 doi: 10.1007/s11465-015-0325-2

Abstract: interconnects in the chemical mechanical polishing (CMP) process, which is an important step in the integrated circuitThe influence of the underneath circuit layers on the eddy current is modeled and treated as an equivalent

Keywords： CMP     eddy current     multilayer wafer     Cu interconnects     equivalent unit    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: The neural networks can be used to construct fully decoupled approaches in nonlinear multiscale methodsThis article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: this paper presents a method for automating concrete damage classification using a deep convolutional neuralThe convolutional neural network was designed after an experimental investigation of a wide number of

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: Such strategy leverages the high capacity of convolutional neural networks to identify and classify potential

Keywords： concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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Title Author Date Type Operation

Phase synchronization and energy balance between neurons

Ying XIE, Zhao YAO, Jun MA

Journal Article

Self-catalytic pyrolysis thermodynamics of waste printed circuit boards with co-existing metals

Journal Article

Non-toxic, high selectivity process for the extraction of precious metals from waste printed circuit

Journal Article

Research on the equivalent circuit parameter　of single linear induction motor

Xu Wei,Sun Guangsheng

Journal Article

Equivalent circuit and characteristic simulation of a brushless electrically excited synchronous wind

Hao WANG, Fengge ZHANG, Tao GUAN, Siyang YU

Journal Article

Copper recovery from waste printed circuit boards concentrated metal scraps by electrolysis

Xiaonan Liu, Qiuxia Tan, Yungui Li, Zhonghui Xu, Mengjun Chen

Journal Article

Copper fractal growth during recycling from waste printed circuit boards by slurry electrolysis

Journal Article

Enhancement of open circuit voltage in organic solar cells by doping a fluorescent red dye

Qing LI, Junsheng YU, Yue ZANG, Nana WANG, Yadong JIANG

Journal Article

A critical review on the recycling of copper and precious metals from waste printed circuit boards using

Zebing Wu, Wenyi Yuan, Jinhui Li, Xiaoyan Wang, Lili Liu, Jingwei Wang

Journal Article

Fractional-order memristive neural synaptic weighting achieved by pulse-based fracmemristor bridge circuit

Yifei Pu, Bo Yu, Qiuyan He, Xiao Yuan,heqiuyan789@163.com,yuanxiao@scu.edu.cn

Journal Article

current measurement of the thickness of top Cu film of the multilayer interconnects in the integrated circuit

Zilian QU,Yonggang MENG,Qian ZHAO

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article