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Decouple 1

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Handset antenna 1

Multiple-input multiple-output (MIMO) antenna 1

accommodation 1

decouple control 1

dry cutting 1

dynamical behavior 1

end effect 1

finite element analysis (FEA) 1

friction 1

interpretability 1

network decouple 1

neural networks 1

residual stress 1

rotor-flux oriented(RFO)control 1

single linear induction motor(SLIM) 1

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Predictive model to decouple the contributions of friction and plastic deformation to machined surface

Subhash ANURAG, Yuebin GUO,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3, Pages 247-255 doi: 10.1007/s11465-010-0097-7

Abstract: This study provides a finite element method based on a predictive model to decouple the contributions

Keywords： surface temperature friction residual stress finite element analysis (FEA) dry cutting tool property

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide application. We propose a general mathematical framework, which couples the complex structure of the system with the nonlinear activation function to explore the decoupled dimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural network. We apply our framework to some network models and a real system of the whole neuron map of Caenorhabditis elegans. Result shows that a simple linear mapping relationship exists between network structure and network behavior in the neural network with high-dimensional and nonlinear characteristics. Our simulation and theoretical results fully demonstrate this interesting phenomenon. Our new interpretation mechanism provides not only the potential mathematical calculation principle of neural network but also an effective way to accurately match and predict human brain or animal activities, which can further expand and enrich the interpretable mechanism of artificial neural network in the future.

Keywords： neural networks interpretability dynamical behavior network decouple

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Research on the Longitudinal End Effect ofSingle Linear Induction Motor

Xu Wei,Sun Guangsheng

Strategic Study of CAE 2007, Volume 9, Issue 3, Pages 21-27

Abstract: The paper brings forward uds, uqs, iqs online decouple compensation based on the rotor magnetic flux,

Keywords： single linear induction motor(SLIM) rotor-flux oriented(RFO)control end effect decouple control accommodation

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MIMO handset antenna for 5G/WLAN applications Correspondences

Yong CHENG, Jing LU, Bing-qing SHENG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 1, Pages 182-187 doi: 10.1631/FITEE.1900478

Abstract: We propose a dual-module multiple-input multiple-output (MIMO) antenna for portable terminals. The operating bands of the handheld terminal antenna are 5G (3.4–3.8 GHz) and WLAN (5.150–5.925 GHz). Antenna elements of 5G and WLAN are spaced to reduce coupling between antenna elements in the same module. The return loss of all antenna elements is larger than 6 dB. The isolation between all elements is larger than 14 dB. The radiation efficiency of the high-frequency antenna is greater than 50%, and the radiation efficiency of the low-frequency antenna is greater than 40%. The far-field gain of all elements is greater than 2.2 dBi.

Keywords： Fifth-generation (5G) Handset antenna Multiple-input multiple-output (MIMO) antenna Decouple