Two-dimensional linear optical sampling is presented for observing ultrafast spatiotemporal complex signals. By directly observing complex cross-sectional images, the technique is useful for spatial modes of multimode...
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Generally aircraft cabin receives translational accelerations in 3 axes and rotational accelerations around 3 axes during flight. Those translational and rotational accelerations generate uncomfortable movements and v...
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This research presents a new music generation model and a novel MIDI data format for MIDI music generation. This innovative data format allows us to process MIDI music in a manner analogous to video analysis. Initiall...
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Robots capable of human communication play crucial roles in various daily tasks, particularly in nursing and mental healthcare. Effective emotion expression is essential for robots to perform these tasks proficiently....
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The present study describes a reliability analysis of the strength model for predicting concrete columns confinement influence with Fabric-Reinforced Cementitious Matrix(FRCM).through both physical models and Deep Neu...
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The present study describes a reliability analysis of the strength model for predicting concrete columns confinement influence with Fabric-Reinforced Cementitious Matrix(FRCM).through both physical models and Deep Neural Network model(artificial neural network(ANN)with double and triple hidden layers).The database of 330 samples collected for the training model contains many important parameters,i.e.,section type(circle or square),corner radius rc,unconfined concrete strength fco,thickness nt,the elastic modulus of fiber Ef,the elastic modulus of mortar *** results revealed that the proposed ANN models well predicted the compressive strength of FRCM with high prediction *** ANN model with double hidden layers(APDL-1)was shown to be the best to predict the compressive strength of FRCM confined columns compared with the ACI design code and five physical ***,the results also reveal that the unconfined compressive strength of concrete,type of fiber mesh for FRCM,type of section,and the corner radius ratio,are the most significant input variables in the efficiency of FRCM confinement *** performance of the proposed ANN models(including double and triple hidden layers)had high precision with R higher than 0.93 and RMSE smaller than 0.13,as compared with other models from the literature available.
We present a novel approach to predicting the pressure and flow rate of flexible electrohydrodynamic pumps using the Kolmogorov-Arnold *** by the Kolmogorov-Arnold representation theorem,KAN replaces fixed activation ...
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We present a novel approach to predicting the pressure and flow rate of flexible electrohydrodynamic pumps using the Kolmogorov-Arnold *** by the Kolmogorov-Arnold representation theorem,KAN replaces fixed activation functions with learnable spline-based activation functions,enabling it to approximate complex nonlinear functions more effectively than traditional models like Multi-Layer Perceptron and Random *** evaluated KAN on a dataset of flexible EHD pump parameters and compared its performance against RF,and MLP *** achieved superior predictive accuracy,with Mean Squared Errors of 12.186 and 0.012 for pressure and flow rate predic-tions,*** symbolic formulas extracted from KAN provided insights into the nonlinear relationships between input parameters and pump *** findings demonstrate that KAN offers exceptional accuracy and interpretability,making it a promising alternative for predictive modeling in electrohydrodynamic pumping.
Given a graph G and two spanning trees T and T′ in G, Spanning Tree Reconfiguration asks whether there is a step-by-step transformation from T to T′ such that all intermediates are also spanning trees of G, by excha...
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The main focus of this research is on improving the performance of dynamic systems with actuator non-linearities and time-varying disturbances. To this end, using the concept of finite-time stability, a novel observer...
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A variety of information is collected from IoT devices. As those devices become more familiar to users, network services must consider the influence of the user. We propose a method to maximize the value from power co...
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The development of aqueous Zn batteries is limited by parasitic water reactions,corrosion,and dendrite *** address these challenges,an inner Helmholtz plane(IHP)regulation method is proposed by employing low-cost,non-...
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The development of aqueous Zn batteries is limited by parasitic water reactions,corrosion,and dendrite *** address these challenges,an inner Helmholtz plane(IHP)regulation method is proposed by employing low-cost,non-toxic maltitol as the electrolyte *** preferential adsorption behavior of maltitol can expel the water from the inner Helmholtz plane,and thus hinder the immediate contact between Zn metal and H_(2)***,strong interaction between maltitol and H_(2)O molecules can restrain the activity of H_(2)***,the"IHP adsorption effect"along with the low LUMO energy level of maltitol-CF_(3)SO_(3)^(-)can promote the in-situ formation of an organic-inorganic complex solid electrolyte interface(SEI)*** a result,the hydrogen/oxygen evolution side reaction,corrosion,and dendrites issues are effectively suppressed,thereby leading to highly reversible and dendrite-free Zn plating/*** Zn‖I_(2)battery with hybrid electrolytes also demonstrates high electrochemical performance and ultralong cycling stability,showing a capacity retention of 75%over 20000 charge-discharge cycles at a large current density of 5 A g^(-1).In addition,the capacity of the device has almost no obvious decay over20000 cycles even at-30℃.This work offers a successful electrolyte regulation strategy via the IHP adsorption effect to design electrolytes for high-performance rechargeable Zn-ion batteries.
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