摘要：Secret sharing has been a subject of study for over 30 years. The coding theory has been an important role in the constructing of the secret sharing schemes. It is known that every linear code can be used to construct the secret sharing schemes. Since the code of a symmetric （V, k, λ）-design is a linear code, this study is about the secret sharing schemes based on C of Fp-code C of asymmetric （v, k, λ）-design.

摘要：本文提出了Casson流体在非均匀带电微通道中电渗透流动的解析解。目标是确定微通道剪切和非剪切区域速度和体积流量的解析表达,并描述这些区域的压力和温度分布。利用渐近逼近法将Casson流体流动的控制方程简化为无量纲形式,然后对其进行解析求解。使用余弦函数解析表达了剪切和非剪切区域的速度和体积流量。用图形表示了剪切和非剪切区域的压力、速度、流量和温度分布。结果表明,由于压力梯度和体积流量与其他参数的响应相反,随着压力梯度的上升,体积流量发生变化。此外,图示了壁形振幅和焦耳加热下的温度分布。本文结果对使用Casson流体微流控装置的各种应用中的设计和优化具有重要意义。

摘要：In this study,we implement forward modeling and inversion based on deep-learning strategies using an optimal nearly analytic discrete(ONAD)*** forward-modeling method combines the ONAD method with recurrent neural network(RNN)for the fi rst *** is a type of neural network that is suitable for sequential data,which uses information from both previous and current times to obtain output *** express the ONAD method using an RNN framework to advance the time iteration of an acoustic *** process can simplify programming using RNN and convolution ***,we use deep learning based on the proposed forward-modeling method to study full waveform-inversion *** the main purpose of inversion is to minimize the error between real and synthetic data,inversion is essentially an optimization *** new optimizers are available in the framework of deep learning,such as the Adam and Nadam optimizers,which are used for optimizing velocity model in the inversion *** perform six numerical *** first two experiments demonstrate the forward-modeling results,which indicate that the forward-modeling method can effectively suppress numerical dispersion and improve computational effi *** other four experiments demonstrate the inversion results,which show that the method proposed in this paper can eff ectively realize inversion *** compare several optimizers used in deep learning and find that the Nadam optimizer has faster convergence and better effectiveness based on the ONAD method combined with RNN.

摘要：The problem of global stabilization by state feedback for a class of time-delay nonlinear system is considered. By constructing the appropriate Lyapunov-Krasovskii functionals (LKF) and using the backstepping design, a linear state feedback controller making the closed-loop system globally asymptotically stable is constructed.

摘要：In this paper,we deduced an iteration formula for the computation of central composite *** using the iteration formula,the computational complexity of uniform design construction in flexible region can be greatly *** we also made a refinement to threshold accepting algorithm to accelerate the algorithm's convergence *** show that the refined algorithm can converge to the lower discrepancy design more stably.

摘要：Bioconvection plays an inevitable role in introducing sustainable and environment-friendly fuel cell ***-mathematical modelling of such designs needs continuous refinements to achieve strong agreements in experimental and computational ***,microorganisms transport a miscellaneous palette of ingredients in manufacturing industrial goods particularly in fertilizer *** transfer characteristics of molecular structure are measured by a physical phenomenon which is allied with the transpiration of heat within *** by bioinspired fuel cells involved in near-surface flow phenomena,in the present article,we examine the transverse swimming of motile gyrotactic microorganisms numerically in a rheological Jeffery fluid near a stretching *** leading physical model is converted in a nonlinear system of ODEs through proper similarity alterations.A numerical technique called shooting method with R-K Fehlberg is applied via mathematical software and graphical presentations are *** influence of all relative physical constraints on velocity,temperature,concentration,and volume fraction of gyrotactic microorganisms is expressed *** is found that heat and mass flux at the surface as well as density of motile microorganism’s declines for Brownian motion and thermophoresis *** in tabular form is made with existing literature to validate the results for limiting cases with convective boundary conditions.

摘要：The variable structure controller is designed for a class of nonlinear uncertain time-delay system by using robust observer, and incorporating H-infinity control technique, the controller can guarantee the H-infinity performance of sliding mode dynamics and satisfy the reaching condition, which also does not require uncertainties to satisfy matching condition and linear boundary condition. The simulation example is given to illustrate the method.

摘要：In this paper, we propose a face recognition approach-Structed Sparse Representation-based classification when the measurement of the test sample is less than the number training samples of each subject. When this condition is not satisfied, we exploit Nearest Subspaee approach to classify the test sample. In order to adapt all the eases, we combine the two approaches to an adaptive classification method-Adaptive approach. The adaptive approach yields greater recognition accuracy than the SRC approach and CRC_RLS approach with low ~ample rate on the Extend Yale B dataset. And it is more efficient than other two approaches.

摘要：The purpose of this study is to design a fractional-order super-twisting sliding-mode controller for a class of nonlinear fractionalorder *** proposed method has the following advantages:(1)Lyapunov stability of the overall closed-loop system,(2)output tracking error’s convergence to zero,(3)robustness against external uncertainties and disturbances,and(4)reduction of the chattering *** investigate the performance of the method,the proposed controller is applied to an autonomous underwater robot and Lorenz chaotic ***,a simulation is performed to verify the potential of the proposed method.

摘要：In this paper, we propose two new explicit Almost Runge-Kutta (ARK) methods, ARK3 (a three stage third order method, i.e., s = p = 3) and ARK34 (a four-stage third-order method, i.e., s = 4, p = 3), for the numerical solution of initial value problems (IVPs). The methods are derived through the application of order and stability conditions normally associated with Runge-Kutta methods;the derived methods are further tested for consistency and stability, a necessary requirement for convergence of any numerical scheme;they are shown to satisfy the criteria for both consistency and stability;hence their convergence is guaranteed. Numerical experiments carried out further justified the efficiency of the methods.