Post-traumatic peritendinous adhesion presents a significant challenge in clinical medicine. This study proposes the use of diamond-like carbon (DLC) deposited on polylactic acid (PLA) membranes as biophysical mechanism for anti-adhesion barrier to encase ruptured tendons tendon-injured rats. The results indicate that PLA/DLC composite membrane exhibits more efficient effect than PLA membrane, with histological score decreasing from 3.12 ± 0.27 2.20 0.22 and effectiveness increasing 21.61%...

Power filters have been widely used to suppress switching harmonics caused by the modulation of grid-connected inverters. In order save total inductance and cost reduce volume, different power were proposed for three-phase three-wire voltage source inverter. However, in industrial applications, due consideration production cost, difficulties deviation actual parameters be addressed. this article, we propose a new filter with simple structure, almost smallest inductance, strong resistance...

The integration of large-scale wind and photovoltaic power into modern grids leads to an imbalance between the supply demand for resources system, where this threatens safety stable operation grid. traditional mode grid dispatch capability regulation conventional thermal units cannot satisfy demands connection renewable energy, system requires compensation coordinated flexible sources. In light problem, paper establishes a model quantify uncertainty in forecasted outputs power. This is used...

The effect of solvent polarity on the quality self-assembled n-octadecanethiol (C18SH) Cu surfaces was systematically analyzed using first-principles calculations. results indicate that adsorption energy for C18SH a surface is -3.37 eV, which higher than energies molecules. dissociated makes monolayer self-assembly easier (111) through competitive adsorption. Furthermore, per unit area decreases from -3.24 eV·Å-2 to in solvents with an increased dielectric constant 1 78.54. Detailed analysis...

In this paper, a novel hardware-friendly reinforcement learning algorithm based on memristive spiking neural networks (MSNN-RL) is proposed. Neurons for spike coding are designed specifically to complete transformation between analog data and discrete spikes. Then, remote supervised method (ReSuMe) used combine SNN with basic reforcement learing (Sarsa). Besides, bionic snynapses speed up ReSuMe. Furthermore, the circuit scheme of MSNN-RL modulation memristor synapses. Finally, application...

以3.5 mm厚的Al-5.41Zn-1.79Mg-0.45Mn合金板为例,观察基体析出物(MPts)与晶界析出物(GBPs)的尺寸关系,系统研究了沉淀物构型对合金板拉伸和疲劳性能的影响,该材料经过固溶处理后,在120 °C和200 °C下进行不同时间的时效。结果表明:当基体中完全存在6.5 ± 0.5 nm半相干η'相时,GBPs为η相,尺寸为27 1 nm,沉淀自由区(PFZ)宽度为30 nm,合金板具有最佳的合成性能,屈服强度、抗拉强度分别为461±6 MPa, 107个循环±应力比为20.5 MPa/205 MPa时,疲劳寿命分别为495 6 MPa,×为(9.7 5.1)。在200 °C时效的合金板中观察到MPts与GBPs之间的尺寸关系异常,MPts的尺寸比GBPs粗1.4倍。合金板在120 °C时效1 h的疲劳寿命比在200 h的合金板长35倍以上,但强度和伸长率大致相同。

This paper proposes a fault current limiting scheme (FCLS) for full-scale wind power generators based on logic bang-bang funnel control (LBFC). Different from the convention methods such as frequency droop and sliding control, which design strategy according to specific currents, LBFC is able restrict various within acceptable range in shortest time, it robust system nonlinearities external disturbances. The signal of with upper lower limits variables. In model connecting grid, designed...

This paper investigates the trajectory tracking control problem of omnidirectional mobile robot (OMR) with unknown parameters. A novel concurrent learning-based adaptive strategy is proposed. Different from currently available schemes, parameter estimation error in this can exponentially converge to zero under a mild rank condition, by resorting learning technique. implies that identification parameters achieved. Moreover, also tend exponentially. Unlike some results asymptotical convergence...

In this paper, a novel two-layer memristive spiking neural network (MSNN) with spatio-temporal backpropagation (STBP) algorithm is proposed. The MSNN composed of crossbar array, ten leaky integrate-and-fire (LIF) neurons and winner-take-all (WTA) module. array one memristor (1M) synapse performs the multiplication accumulation without additional storage units. LIF accumulate input current fire spikes. WTA module ensures that only neuron fires for pattern. consumes little power because there...

With advances in wind power generation technology, the installed capacity of systems has grown significantly, and scale grid connected farms gradually increased. In order to improve efficiency transmission paths planning for connection, this paper proposes a farm channel allocation method based on optimal flow receiving network. Firstly, energy contained is calculated using Autoregressive moving average model (ARMA) speed prediction AIC criterion, then output predicted turbine state...

By adding the third component phosphorus (P), magnetic phase with nanotwin structure was formed in situ, Cu-Fe-P immiscible alloys integrated and function were obtained by using selective laser melting (SLM). The microstructure is mainly composed of heterogeneous Fe-P-rich (Fe2P mixed a small amount Fe3P), distributed ε-Cu Cu-rich matrix alternately two forms “fiber-layer” “particle-shape” structures. Some α-Fe precipitated fibrous Fe2P, high-density nanotwinned Cu (nt-Cu) particles both...

This paper addresses the tracking problem of an omnidirectional mobile robot (OMR), which is a second-order electromechanical system with unmatched uncertainties and disturbances. The control inputs are currents motors, objective real-time position orientation for robot. main features this summarized as follows. (1) Both kinematic dynamic models standard OMR presented, explicitly defines unknown physical parameters well specific mathematical form (2) A new scheme proposed based on adaptive...

Abstract Permanent magnet synchronous motor is often used as drive motors for electric vehicles. It prone to demagnetization failure, and the change of permanent flux link an important basis diagnosing failure motor. First, study establishes a adaptive observer ensures its stability. Then sensitivity analysis main parameters in carried out. For parameter with high large range variation during operation, expression observation error caused by this derived, gain matrix model optimized. Through...

Traditional deep reinforcement learning (DRL) algorithms consume much energy. Energy-efficient spiking neural networks (SNNs) are promising technologies to bulid a low-power architecture. In this paper, an actor-critic framework based on memrisitive SNN is proposed. To convey and process information in SNN, spike encoding decoding systems created. Then, improved algorithm spike-timing-dependent plasticity (STDP) rule designed combine method with SNN. Moreover, also hardware-friendly....

This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller in PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. anticipative mode, more immediately beneficial when automated vehicle fleet penetration is low, 2. connected coordinated car-following scenarios high penetrations appropriate for autonomous specific applications. Probabilistic constraints handle safety considerations, acceleration capabilities are expressed...