Fast Evaluation of Time-Domain Green Function for Finite Water Depth

For computation of large amplitude motions of ships fastened to a dock, a fast evaluation scheme is implemented for computation of the time-domain Green function for finite water depth. Based on accurate evaluation of the Green function directly, a fast approximation method for the Green function is developed by use of Chebyshev polynomials. Examinations are carried out of the accuracy of the Green function and its derivatives from the scheme. It is shown that when an appropriate number of polynomial terms are used, very accurate approximation can be obtained.

Retard function and ship motions with forward speed in time-domain

The time-domain calculations of retard function and ship motions in waves by the direct time-domain method （DTM） and the frequency to time-domain transformation method （FTTM） are compared and analyzed. A Wigley-hull-form ship and an $60 ship moving in waves are examined, and the corresponding retard functions are in good agreement with those given by DTM and FTTM. The comparison of retard functions in different forward speeds by the two methods is observed, and the results of ship motions in forward speed are also compared with the experimental data. On this basis, the advantage and disadvantage of them are discussed.

Quantum diffraction of wave function in time-domain

The transition of a two-level system driven by a linearly weak chirped pulse is studied. Under the first order perturbation approximation, an analytical expression of the population probability is obtained, which is similar to the one describing Fresnel diffraction by a straight edge. It is shown that the population oscillation results from the diffraction of quantum wave function in time-domain.

New Derivation of Ordinary Differential Equations for Transient Free-Surface Green Functions

Based on the Laplace transform, a direct derivation of the ordinary differential equations for the three-dimensional transient free-surface Green function in marine hydrodynamics is presented. The results for the 3D Green function and all its spatial derivatives are a set of fourth-order ordinary differential equations, which are identical with that of Clement (1998). All of these results may be used to accelerate numerical computation for the time-domain boundary element method in marine hydrodynamics.

The Integration of Dual-domain Method for Estimating the Drift Function of Financial Assets

Time-domain state-domain methods are common approaches in modern financial analysis.Economic conditions vary time,drift function depends on time and price level for a given state variable.In this paper,to consistently estimate the bivariate drift function,our purpose a new dynamic integrated estimator by combing time-and state-domain methods for estimating drift function.And we establish its asymptotic properties and illustrates it outperforms some old ones by simulations.

Nankai Trough Velocity Structure Reconstruction using FWI of Wide-angle OBS Data with Graph-space Optimal Transport Misfit Function

Technical development oriented on the detailed seismic imaging and velocity model building coupled with rapid increase of the computing power available nowadays make it possible to process large volumes of seismic data using numerically intensive approaches based the wavefield propagation.

Convolutional neural network for transient grating frequency-resolved optical gating trace retrieval and its algorithm optimization

A convolutional neural network is employed to retrieve the time-domain envelop and phase of few-cycle femtosecond pulses from transient-grating frequency-resolved optical gating(TG-FROG) traces.We use theoretically generated TGFROG traces to complete supervised trainings of the convolutional neural networks,then use similarly generated traces not included in the training dataset to test how well the networks are trained.Accurate retrieval of such traces by the neural network is realized.In our case,we find that networks with exponential linear unit(ELU) activation function perform better than those with leaky rectified linear unit(LRELU) and scaled exponential linear unit(SELU).Finally,the issues that need to be addressed for the retrieval of experimental data by this method are discussed.

Evaluating logic functionality of cascaded frac

Look Up Tables(LUTs) are the key components of Field-Programmable Gate Arrays(FPGAs)Many LUT architectures have been studied; nevertheless, it is difficult to quantificationally evaLUT based architecture. Traditionally, dedicated efforts on specific modifications to the temapping tools are required for LUT architecture evaluation. A more feasible evaluation method forfunctionality is strongly required for the design of LUT architecture. In this paper, a mathematical for logic functionality calculation is proposed and conventional and fracturable LUT architectanalyzed. Furthermore, a cascaded fracturable LUT architecture is presented, which achieves twice functionality compared with the conventional LUTs and fracturable LUTs.

Improved double-gate armchair silicene nanoribbon field-effect-transistor at large transport bandgap

The electrical characteristics of a double-gate armchair silicene nanoribbon field-effect-transistor （DG ASiNR FET） are thoroughly investigated by using a ballistic quantum transport model based on non-equilibrium Green＇s function （NEGF） approach self-consistently coupled with a three-dimensional （3D） Poisson equation. We evaluate the influence of variation in uniaxial tensile strain, ribbon temperature and oxide thickness on the on-off current ratio, subthreshold swing, transconductance and the delay time of a 12-nm-length ultranarrow ASiNR FET. A novel two-parameter strain mag- nitude and temperature-dependent model is presented for designing an optimized device possessing balanced amelioration of all the electrical parameters. We demonstrate that employing HfO2 as the gate insulator can be a favorable choice and simultaneous use of it with proper combination of temperature and strain magnitude can achieve better device performance. Furthermore, a general model power （GMP） is derived which explicitly provides the electron effective mass as a function of the bandgap of a hydrogen passivated ASiNR under strain.

Theoretical design of thermal spin molecular logic gates by using a combinational molecular junction

Based on the density functional theory combined with the nonequilibrium Green function methodology,we have studied the thermally-driven spin-dependent transport properties of a combinational molecular junction consisting of a planar four-coordinate Fe molecule and a 15,16-dinitrile dihydropyrene/cyclophanediene molecule,with single-walled carbon nanotube bridge and electrode.Our results show that the magnetic field and light can effectively regulate the thermallydriven spin-dependent currents.Perfect thermal spin-filtering effect and good thermal switching effect are realized.The results are explained by the Fermi-Dirac distribution function,the spin-resolved transmission spectra,the spatial distribution of molecular projected self-consistent Hamiltonian orbitals,and the spin-resolved current spectra.On the basis of these thermally-driven spin-dependent transport properties,we have further designed three basic thermal spin molecular AND,OR,and NOT gates.

Theoretical design of single-molecule NOR and XNOR logic gates by using transition metal dibenzotetraaza[14]annulenes

The idea of replacing traditional silicon-based electronic components with the ones assembled by organic molecules to further scale down the electric circuits has been attracting extensive research focuses.Among the molecularly assembled components,the design of molecular logic gates with simple structure and high Boolean computing speed remains a great challenge.Here,by using the state-of-the-art nonequilibrium Green’s function theory in conjugation with first-principles method,the spin transport properties of single-molecule junctions comprised of two serially connected transition metal dibenzotetraaza[14]annulenes(TM(DBTAA),TM=Fe,Co)sandwiched between two single-walled carbon nanotube electrodes are theoretically investigated.The numerical results show a close dependence of the spin-resolved current-voltage characteristics on spin configurations between the left and right molecular kernels and the kind of TM atom in TM(DBTAA)molecule.By taking advantage of spin degree of freedom of electrons,NOR or XNOR Boolean logic gates can be realized in Fe(DBTAA)and Co(DBTAA)junctions depending on the definitions of input and output signals.This work proposes a new kind of molecular logic gates and hence is helpful for further miniaturization of the electric circuits.

Electronic Transport Properties of Phenalenyl Molecular Devices via Gated Modulation

By applying nonequilibrium Green’s functions (NEGF) in combination with the density functional theory (DFT), we investigate the electronic transport properties of gated phenalenyl molecular devices with two different contact geometries. The calculated results show that electronic transport properties of the two different devices can be modulated by external transverse gates. When the molecule contacts the Au electrodes through two second-nearest sites, the current-voltage (I-V) characteristic curves are symmetric and suppressed by the gate electrodes. However, a rectifying behavior will occur when the electrodes connect the molecule on both sides, one second-nearest site and one third-nearest site, respectively. Mechanisms for such phenomena are proposed and these findings suggest a new opportunity for developing molecular devices.

Predicting Wavelet-Transformed Stock Prices Using a Vanishing Gradient Resilient Optimized Gated Recurrent Unit with a Time Lag

The development of accurate prediction models continues to be highly beneficial in myriad disciplines. Deep learning models have performed well in stock price prediction and give high accuracy. However, these models are largely affected by the vanishing gradient problem escalated by some activation functions. This study proposes the use of the Vanishing Gradient Resilient Optimized Gated Recurrent Unit (OGRU) model with a scaled mean Approximation Coefficient (AC) time lag which should counter slow convergence, vanishing gradient and large error metrics. This study employed the Rectified Linear Unit (ReLU), Hyperbolic Tangent (Tanh), Sigmoid and Exponential Linear Unit (ELU) activation functions. Real-life datasets including the daily Apple and 5-minute Netflix closing stock prices were used, and they were decomposed using the Stationary Wavelet Transform (SWT). The decomposed series formed a decomposed data model which was compared to an undecomposed data model with similar hyperparameters and different default lags. The Apple daily dataset performed well with a Default_1 lag, using an undecomposed data model and the ReLU, attaining 0.01312, 0.00854 and 3.67 minutes for RMSE, MAE and runtime. The Netflix data performed best with the MeanAC_42 lag, using decomposed data model and the ELU achieving 0.00620, 0.00487 and 3.01 minutes for the same metrics.

A two-dimensional threshold voltage analytical model for metal-gate/high-k/SiO_2 /Si stacked MOSFETs

In this paper the influences of the metal-gate and high-k/SiO 2 /Si stacked structure on the metal-oxide-semiconductor field-effect transistor（MOSFET） are investigated.The flat-band voltage is revised by considering the influences of stacked structure and metal-semiconductor work function fluctuation.The two-dimensional Poisson＇s equation of potential distribution is presented.A threshold voltage analytical model for metal-gate/high-k/SiO 2 /Si stacked MOSFETs is developed by solving these Poisson＇s equations using the boundary conditions.The model is verified by a two-dimensional device simulator,which provides the basic design guidance for metal-gate/high-k/SiO 2 /Si stacked MOSFETs.

基于GRU的仪表着陆系统故障预测方法研究

故障预测技术在保障仪表着陆系统的可靠运行、提高空管效能等方面具有重要应用价值。结合仪表着陆系统运行特征和实际运行维护工作,提出一种基于GRU的仪表着陆系统故障预测方法。以航向信标为研究对象,在分析其监控参数与设备运行状态之间的关系后,将监控参数作为故障特征参数;根据监控参数时间步长、时变性特征显著的特点,采用GRU预测监控参数的未来变化趋势;根据监控参数的隶属函数计算出参数未来时刻可能发生“故障”的概率,实现对航向信标故障的预测。结果表明:基于GRU的仪表着陆系统预测方法的相对预测精度在95%以上。

基于深度学习的盾构机土舱压力场预测方法

土舱压力是盾构机受力状态和掌子面稳定等核心问题中的关键因素。土舱压力具有显著的空间变异性,其形成演化机制源于装备与岩土之间的复杂耦合作用,与地质特征、掘进参数等多源参数相关。然而,现有土舱压力预测方法一般未考虑空间分布特征或地质参数影响。针对该问题,提出了一种基于空间分布物理特征函数导引深度学习的盾构机土舱压力场预测方法。该方法构建物理特征函数用于解耦土舱压力空间分布特征,采用卷积神经网络和门控循环单元分别提取多源参数历史信息的空间特征和特征系数的时序特征,结合多源参数实时信息对特征系数进行预测,从而实现土舱压力场的预测。以长沙地铁四号线某区段为案例,利用该方法准确预测了土舱压力空间分布实测数据,准确率高达0.98,验证了所提方法的有效性。敏感性分析表明,不同地层中土舱压力空间分布特征系数的主要敏感参数基本一致,但其敏感度随地层地质条件的变化规律差异显著,可为复杂地层盾构机土舱压力精细化调控提供参考。

^(99m)Tc-MIBI门控心肌灌注显像对行沙库巴曲缬沙坦治疗的冠心病患者心肌血流灌注及心功能的评估价值

目的:探究^(99m)Tc-MIBI门控心肌灌注显像(GMPI)评估冠心病患者沙库巴曲缬沙坦治疗后心肌血流灌注及心功能的价值。方法:选取冠心病患者78例,入组患者均接受沙库巴曲缬沙坦治疗,采用^(99m)Tc-MIBI GMPI对患者的心肌血流灌注情况及心功能指标进行检测,并以超声心动图及冠状动脉造影结果为参照,对^(99m)Tc-MIBI GMPI检查的准确性进行探究。结果:患者经冠状动脉造影检查结果与患者经^(99m)Tc-MIBI GMPI检查心肌血流灌注结果比较无统计学差异(P>0.05),经卡帕一致性检验,KAPPA值为0.826,一致性较好。患者经冠状动脉造影检查结果与患者经^(99m)Tc-MIBI GMPI心功能结果[舒张末期容积(EDV)、收缩末期容积(ESV)、左心室射血分数(LVEF)、心输出量(CO)]比较无统计学差异(均P>0.05),经ICC一致性检验,ICC=0.812,一致性较好。治疗后与治疗前比较,患者的心肌血流灌注有所好转,患者完全闭塞、重度狭窄占比降低,轻度狭窄占比升高(均P<0.05)。与治疗前比较,治疗后患者的EDV、ESV水平降低,LVEF、CO升高(均P<0.05)。78例患者经过治疗,出现8例症状性低血压,2例轻度血管性水肿,6例肾功能损伤,3例高钾血症,并发症发生率约为24.36%。结论:^(99m)Tc-MIBI GMPI评估心肌血流灌注及心功能情况与超声心动图及冠状动脉造影结果相一致,可以准确地反映冠心病患者经沙库巴曲缬沙坦治疗后的心肌血流灌注及心功能变化。经沙库巴曲缬沙坦治疗,患者的心肌血流灌注及心功能得到改善,但需要对患者的不良反应情况进行关注。

面向HVDC应用的逆阻型IGCT关断特性研究

为研究逆阻集成门极换流晶闸管(RB-IGCT)的电流关断特性,指导RB-IGCT换流阀设计,此处搭建了RB-IGCT的电流关断测试电路,对其电流关断特性进行了实测,并采用双指数函数对电流关断特性进行数学拟合。最后基于拟合到的关断电流数学模型,在PSCAD/EMTDC中搭建了IGCT电流关断的器件级功能模型进行仿真测试,仿真和试验结果的一致性表明基于双指数函数的IGCT电流关断模型的准确性,为后续工程应用时IGCT关断电压应力研究以及RB-IGCT阀均压设计提供了快速有效的仿真手段。

一种融合注意力机制的CNN-BiGRU磁盘故障预测方法研究

磁盘作为重要的存储介质,一旦出现故障很可能会导致存储数据丢失,给个人及企业带来难以估量的损失。现有磁盘故障预测模型存在不能很好地平衡磁盘数据样本、未充分利用磁盘数据的时序特性等问题。以Backblaze云存储公司公布的真实磁盘数据为研究对象,提出了一种融合注意力机制的卷积神经网络(CNN)和双向门控循环单元(BiGRU)网络的磁盘故障预测模型。在数据预处理方面,采用负采样与焦点损失函数来平衡正负样本,利用CNN进行特征提取,并结合BiGRU网络来有效地处理时序数据。通过融合注意力机制,能够让模型快速地捕捉更多关键特征信息,将筛选出的特征与数据输入模型进行训练。通过对比其他故障预测模型,本文提出的模型在精确率等4个评价指标上均有1%~7%的性能提升,为提高磁盘存储的可靠性提供了有力的支撑。